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19
HLA-A, -C, -B, AND -DRB1 ALLELIC AND HAPLOTYPIC
DIVERSITY IN BONE MARROW VOLUNTEER DONORS
FROM NORTHERN PORTUGAL
Bruno A. Lima, Helena Alves
Centro de Histocompatibilidade do Norte, Porto, Portugal
Keywords - Haplotype frequency, human leukocyte antigen alleles, marrow donor registry, Portugal
Received September 27th
, 2012, accepted January 31st
, 2013
Summary - Analysis of the HLA allelic and haplotype frequency data in different populations helps to shed light on the
evolutionary factors that result in genetic polymorphism and the biological relationships among different ethnic groups.
It is important to analyse HLA allele and haplotype frequencies in different populations to find compatible marrow trans-
plantation donors from unrelated individuals.
The aim of this study was to investigate the distribution of HLA-A, -C, -B and DRB1 alleles and haplotypes in Northern
Portugal.
The HLA-A, -C, -B, and -DRB1 allele frequencies were determined by direct counting. The haplotype frequencies were
calculated using the expectation-maximisation algorithm in Arlequin v3 software. The Hardy-Weinberg equilibrium was
verified using the Guo and Thompson method.
The most frequent (> 10%) HLA-A alleles (A*02, A*01, A*03, and A*24), HLA-B alleles (B*44, and B*35) and HLA-C
alleles (C*07, and C*04) found in this study frequently occur in many other Caucasian populations.
Of the class II HLA alleles at the HLA-DRB1* locus, the allelic groups HLA-DRB1*07 and -DRB1*13 occur most frequently
(> 15%) in the Portuguese population, as previously reported by others.
The HLA-A*01-C*07-B*08-DRB1*03 and HLA-A*29-C*16-B*44-DRB1*07 haplotypes, described as being of Pan Euro-
pean and western European origin, respectively, were the most frequent haplotypes found in our sample, and they are very
frequent in Caucasian Brazilian, German, Italian, Spanish and the previously described Portuguese populations.
These data represent an important contribution to future anthropological and disease association studies involving the
Portuguese population.
Correspondence: Bruno A. Lima, Centro de Histocompatibilidade do
Norte, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; e-mail:
balima78@gmail.com
Introduction
The human leucocyte antigen (HLA) system, located on
the short arm of chromosome 6, comprises the most poly-
morphic loci in the human genome (1). The HLA system
consists of class I, II, and III non-overlapping segments
that encode cell-surface heterodimeric glycoproteins. Ge-
netic variation at these loci plays an important role in
the immune response and in haematopoietic stem cell
transplantation (2-4). HLA class I and II genes play an es-
sential role in histocompatibility and disease susceptibility,
in the presentation of peptides to T-lymphocytes and in
self/non-self recognition (5). The HLA system determines
immune function, is involved in the susceptibility to a
remarkably large number of complex diseases, determines
the outcome of tissue transplantation, and is used in fo-
rensic science (6-8).
Examination of genetic data from the HLA region has
proved valuable for the study of population affinities and
ORGANS, TISSUES & CELLS, (16), 19-26, 2013
20 B.A. Lima et al.
HLA region than merely matching at the allele level (24).
The aim of this study was to investigate the distribution
of HLA-A, -C, -B, and DRB1 alleles and haplotypes in
Northern Portugal. We comprehensively documented
the background HLA allelic representation and respec-
tive haplotype profiles in a Portuguese population. This
information should provide useful data for HLA matching
in transplantations and for disease associations in the Por-
tuguese population.
Material and methods
Subjects
Our data set consisted of 37,993 unrelated donors from
the Northern Portuguese bone marrow voluntary donor
registry who were recruited between January 2010 and
December 2011, as previously described (28). Donors were
not recruited from projects that focused on the specific
recruitment of donors with rare HLA phenotypes. The
donors were typed for HLA-A, -C, -B, and -DRB1 at inter-
mediate resolution. On recruitment, the donors were asked
to indicate their ethnicity, and only 47 (0.01%) declared
that they were not Caucasian. The mean age of the donors
at recruitment was 31.72 (± 7.5) years and 14,408 (37.9%)
of the donors were male.
The donors signed an informed consent form.
HLA typing
The intermediate-resolution HLA typing was carried out
at the American Society for Histocompatibility and Im-
munogenetics – accredited laboratory of Histogenetics,
Inc. (Ossining, NY). Sequence-based typing (SBT) was
used for typing HLA class I (HLA-A, -B, -C) and class II
(DRB1) genes. Sequencing templates were produced by
locus- or group-specific pairs of oligonucleotide primers
from genomic DNA by polymerase chain reaction (PCR).
A total of 40 locus- and group- specific primers were used
to amplify the target sequences. Sanger cycle sequencing
was carried out using BigDye V3.1 (Applied Biosystems)
chemistry and ABI 3730xl capillary sequencer for base call-
ing. The PCR product was treated with Exonuclease, and
ethanol precipitation was used to clean up post-sequencing
reaction extension products. Class I sequencing primers
were those locus-specific sequences for each locus in the
intron/exon boundary regions to sequence the entire exons.
All Class II PCR primers were tailed with M13 forward
and T7 reverse sequences. Sequencing was performed on
both strands.
When further resolution was required for the ambiguous
combinations that were not distinguished by these groups,
additional sequencing of group-specific amplifications or
group-specific sequencing primers were used.
histories (9-12). Genetic distances are calculated from the
frequency of the HLA alleles, which facilitates the char-
acterisation of a population (13). Genetic distances and
correspondence analyses have revealed that class I and class
II allele loci and haplotype distribution are racially and
geographically restricted (14). The high levels of linkage
disequilibrium (LD) in the HLA region provide the oppor-
tunity to examine population divergence using haplotypic
data in addition to single loci. At the same time, the study
of these extended haplotypes in long-established popula-
tions may allow the selective processes at work in the HLA
region to become more apparent (9).
HLA population studies are of particular interest not
only for anthropological and disease association studies
but also for the implementation of haematopoietic stem
cell transplantation networking through unrelated donor
recruitment from the national registries (15,16). Analysis
of the allele and haplotype frequency data in different
populations sheds more light on the evolutionary factors
that result in genetic polymorphism and the biological rela-
tionships among different ethnic groups. It is important to
analyse HLA allele and haplotype frequencies in different
populations to locate compatible marrow transplantation
donors from unrelated individuals (17). Knowledge of
HLA haplotype frequencies has numerous applications in
clinical medicine and forensic sciences. In particular, HLA
haplotype frequencies are important for predicting the out-
come of unrelated donor searches for individual patients
in need of hematopoietic stem cell transplantation and to
optimise donor search strategies (18-21).
Haematopoietic stem cell transplantation (SCT) can be an
effective treatment for certain malignant diseases involving
the bone marrow, such as leukaemia, lymphoma, and my-
eloma. The success of haematopoietic SCT is determined
largely by the degree of HLA matching between donor and
recipient (19,22-25). The HLA system plays a major role
in allograft rejection. Since the early days of haematopoiet-
ic stem cell transplantation, a genotypically HLA-identical
sibling has been the donor of choice. Approximately 30%
of patients have an HLA-identical sibling, 30-50% find
a fully matched voluntary unrelated donor, whereas for
20-40% of patients, the search is unsuccessful (19). HLA
molecules expressed by transplanted organs are strongly
immunogenic, and if they are not matched with the donor
HLA, they are recognised as non-self and initiate T-cell
proliferation and destruction of the transplanted organ,
which in association with other cellular and antibody re-
sponses, may lead to graft rejection. Therefore, to predict
the probability of finding compatible donors for unrelated
bone marrow transplantations, it is valuable to have reli-
able estimates of HLA allele and haplotype frequencies
(18,26,27). HLA matching at the haplotype level may have
a higher likelihood of matching at other loci within the
Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 21
were observed. The most frequent allele was B*44 (15%),
followed by B*35 (11.8%), B*51 (10.7%), B*14 (7.6%)
and B*08 (6.7%). A total of 13 different DRB1 alleles were
detected. DRB1*07 was the most common allele, with a
frequency of 17.7%. Other frequent alleles were DRB1*13
(15.1%), DRB1*04 (13.0%), DRB1*01 (12.2%) and
DRB1*03 (10.2%). The alleles corresponding to HLA-
B*46, B*54, B*67, B*73, B*81 and B*82 were detected at
frequencies lower than 0.05%.
The 20 most frequent HLA-A-C, HLA-C-B, and HLA-B-
DRB1 haplotypes are summarised in Table 4. The negative
linkage disequilibria reported are primarily an epiphenom-
enon of the positive disequilibria. For example, the nega-
tive disequilibria found for haplotypes HLA-A*02-C*07,
HLA-A*02-C*04, HLA-A*02-C*15, HLA-A*02-C*16
and HLA-A*02-C*12 are just the immediate consequence
of the strong positive disequilibria between HLA-A*02-
C*14, HLA-A*02-C*05 and HLA-A*02-C*01.
In total, 239 HLA-A-C, 224 HLA-C-B, 336 HLA-B-
DRB1, 1,299 HLA-A-C-B and 4,416 HLA-A-C-B-DRB1
distinct haplotypes were identified. The most common
two-locus HLA haplotypes, with a haplotype frequency
> 5%, were as follows: A*01-C*07 (5.7%), A*02-C*07
(5.6%), C*04-B*35 (10.5%), C*08-B*14 (6.7%), C*07-
B*08 (6.6%), C*05-B*44 (5.5%), and C*07-B*07 (5.4%).
Table 5 shows the 20 strongest relative LDs for the HLA-
A-C, HLA-C-B, and HLA-B-DRB1 haplotypes. As ex-
pected, the strongest LD was observed for the HLA-C-B
haplotype, reflecting the small spatial distance between
these HLA genes, followed by HLA-B-DRB1. The most
common three-locus haplotypes, with a haplotype frequen-
cy > 2%, were as follows: A*01-C*07-B*08 (4.1%), A*02-
C*05-B*44 (3.5%), A*29-C*16-B*44 (2.9%), A*33-C*08-
B*14 (2.4%), A*03-C*04-B*35 (2.2%), A*03-C*07-B*07
(2.1%), and A*02-C*04-B*35 (2.1%) (data not shown).
The most common four-locus haplotypes, with a haplotype
frequency > 1% (Table 6), were as follows: A*01-C*07-
B*08-DRB1*03 (3.1%), A*29-C*16-B*44-DRB1*07
(2.1%), A*33-C*08-B*14-DRB1*01 (1.4%), A*03-C*07-
B*07-DRB1*15 (1.2%), A*02-C*05-B*44-DRB1*04
(1.1%), and A*23-C*04-B*44-DRB1*07 (1.0%).
Discussion
The HLA loci are the most polymorphic gene clusters
in humans, playing a key role in peptide presentation to
T-lymphocytes and self/non-self recognition. Since its
discovery, the most important clinical application of the
HLA system has been the selection of suitable donors for
transplantation or transfusion (7,35). In spite of the expan-
sion of unrelated donor registries, allelic HLA matching
remains a problem for many patients because of the large
Generally, the alleles were identified using the National
Marrow Donor Program codification system and then
grouped according to their corresponding low resolution
typing (two digits (29)).
A peripheral whole-blood sample of each volunteer bone
marrow donor was collected in acid citrate dextrose (ACD)
anticoagulant. ACD whole blood was stored at 4-8ÂșC until
genomic DNA was extracted. The blood was collected by
the Centro de Histocompatibilidade do Norte, the reference
histocompatibility laboratory in Northern Portugal (28).
Statistical analysis
The HLA antigen typing results were obtained at an inter-
mediate resolution. All statistical analyses were performed
at the two digit-allele family level.
The HLA-A, -C, -B, and -DRB1 allele frequencies (AF) were
determined for each allele in the donors using the follow-
ing formula: AF(%) = (n/2N) x 100, where n indicates the
sum of a particular allele and N indicates the total number
of individuals. The haplotype frequencies and verification
of the Hardy-Weinberg equilibrium were calculated using
Arlequin v3 software (30). The expectation-maximisation
algorithm was used to determine the haplotype frequencies,
as described by Excoffier and Slatkin (31). This method al-
lows the estimation of the random haplotype frequencies of
the sample. The Hardy-Weinberg equilibrium was verified
using the method described by Guo and Thompson (32).
The linkage disequilibrium between all pairs of loci was also
tested (33) using Arlequin v3.
The relative linkage disequilibrium values (LD) D’ij of
alleles i and j were calculated as described elsewhere (7).
The 20 strongest positive relative LD were identified for
each analysed haplotype. To focus on relevant LDs, only
haplotypes with allele frequencies of at least 0.1% for both
alleles were considered (34).
Results
None of the loci tested showed any significant departure
from the Hardy-Weinberg equilibrium; all of the p values
for the exact test exceeded 0.05 (Table 1). Statistical sig-
nificance was reached when overall linkage equilibrium was
tested between all pairs of loci (Table 2).
The frequencies of HLA-A, -C, -B, and -DRB1 alleles in
our Portuguese samples are summarised in Table 3. Differ-
ent HLA-A alleles, 20 in total, were detected; A*02, with a
frequency of 27.5%, was the most frequent allele, followed
by A*01 (10.9%), A*03 (10.4%), A*24 (10.3%) and A*11
(6.5%). At the HLA-C locus, 14 different alleles were
detected. The most common allele was C*07 (23.1%),
followed by C*04 (15.5%), C*06 (8.6%), C*05 (7.7%)
and C*08 (6.8%). At the HLA-B locus, 34 different alleles
22 B.A. Lima et al.
HLA-A
No. of
allele
frequency
(%)
HLA-C
No. of
allele
frequency
(%)
HLA-B
No. of
allele
frequency
(%)
HLA-
DRB1
No. of
allele
frequency
(%)
01 8278 10,9% 01 1859 2.45% 07 4573 6.0% 01 9262 12.2%
02 20899 27.5% 02 4819 6.34% 08 5097 6.7% 03 7757 10.2%
03 7874 10.4% 03 5129 6.75% 13 1168 1.5% 04 9866 13.0%
11 4925 6.5% 04 11758 15.47% 14 5753 7.6% 07 13448 17.7%
23 3427 4.5% 05 5829 7.67% 15 4291 5.6% 08 3375 4.4%
24 7814 10.3% 06 6570 8.65% 18 3624 4.8% 09 514 0.7%
25 1220 1.6% 07 17524 23.06% 27 2337 3.1% 10 1294 1.7%
26 2501 3.3% 08 5195 6.84% 35 8946 11.8% 11 7639 10.1%
29 4068 5.4% 12 5110 6.72% 37 994 1.3% 12 1169 1.5%
30 2147 2.8% 14 2224 2.93% 38 1818 2.4% 13 11470 15.1%
31 1914 2.5% 15 4031 5.30% 39 1318 1.7% 14 1953 2.6%
32 2977 3.9% 16 5081 6.69% 40 2633 3.5% 15 6384 8.4%
33 2668 3.5% 17 803 1.06% 41 859 1.1% 16 1855 2.4%
34 337 0.4% 18 54 0.07% 42 89 0.1% Total 75986 100.0%
36 45 0.1% Total 75986 100% 44 11426 15.0%
66 695 0.9% 45 1001 1.3%
68 3798 5.0% 46 4 0.0%
69 255 0.3% 47 204 0.3%
74 85 0.1% 48 64 0.1%
80 59 0.1% 49 2579 3.4%
Total 75986 100% 50 2851 3.8%
51 8122 10.7%
52 560 0.7%
53 813 1.1%
54 4 0.0%
55 832 1.1%
56 291 0.4%
57 2173 2.9%
58 1422 1.9%
67 23 0.0%
73 28 0.0%
78 82 0.1%
81 6 0.0%
82 1 0.0%
Total 75986 100%
HLA – human leucocyte antigen.
Table 3 - Distribution of HLA-A -C, -B, and DRB1 allele frequencies in the Northern Portuguese population (n = 37993).
Locus # Genotypes Observed
Heterozygosity
Expected
Heterozygosity
P-value
A 37993 0.8737 0.8739 0.098
C 37993 0.8811 0.8829 0.732
B 37993 0.9273 0.9250 0.280
DRB1 37993 0.8817 0.8828 0.157
HW – Hardy-Weinberg; HLA – human leucocyte antigen.
Table 1 - HW equilibrium test of HLA-A. -C. -B and -DRB1 genotype
frequencies.
HLA-A HLA-C HLA-B HLA-DRB1
HLA-A - P<0.00001 P<0.00001 P<0.00001
HLA-C - - P<0.00001 P<0.00001
HLA-B - - - P<0.00001
HLA – human leucocyte antigen.
Table 2 - P-values for pairwise linkage equilibrium test.
Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 23
HLA-A-C HLA-C-B HLA-B-DRB1
A C Hap freq Rel LD C B Hap freq Rel LD B DRB1 Hap freq Rel LD
01 07 5.71% 0.38 04 35 10.52% 0.87 44 07 5.79% 0.25
02 07 5.55% -0.12 08 14 6.70% 0.98 08 03 5.05% 0.73
02 05 4.06% 0.35 07 08 6.59% 0.98 14 01 3.92% 0.45
02 04 3.36% -0.21 05 44 5.52% 0.67 35 01 3.03% 0.15
29 16 3.08% 0.54 07 07 5.42% 0.87 07 15 2.86% 0.43
03 07 3.04% 0.08 16 44 4.81% 0.67 44 04 2.43% 0.04
02 06 2.97% 0.09 15 51 3.89% 0.70 44 13 2.19% -0.03
24 07 2.44% 0.01 07 49 3.34% 0.98 35 11 2.02% 0.09
03 04 2.42% 0.09 06 50 2.97% 0.77 51 13 1.80% 0.02
33 08 2.37% 0.65 03 15 2.96% 0.49 51 04 1.77% 0.04
11 04 2.21% 0.22 04 44 2.88% 0.04 51 11 1.74% 0.07
02 02 2.00% 0.06 14 51 2.65% 0.89 57 07 1.68% 0.50
02 03 1.87% 0.00 12 38 2.23% 0.93 15 13 1.67% 0.17
23 04 1.84% 0.30 03 40 2.06% 0.57 50 07 1.62% 0.31
01 06 1.65% 0.09 02 27 1.61% 0.49 14 07 1.49% 0.02
02 14 1.64% 0.40 07 58 1.55% 0.78 35 04 1.45% -0.05
24 04 1.64% 0.01 05 18 1.53% 0.26 35 13 1.33% -0.25
02 15 1.31% -0.10 06 13 1.49% 0.97 51 08 1.27% 0.20
02 16 1.30% -0.30 07 18 1.45% 0.09 18 03 1.19% 0.16
02 12 1.26% -0.32 06 57 1.41% 0.44 51 07 1.16% -0.39
HLA – human leucocyte antigen; Hap freq – haplotype frequency; Rel LD – relative linkage disequilibrium.
Table 4 - The 20 most frequent haplotypes for HLA-A-C, HLA-C-B and HLA-B-DRB1.
HLA-A-C HLA-C-B HLA-B-DRB1
A C Hap freq Rel LD C B Hap freq Rel LD B DRB1 Hap freq Rel LD
33 08 2.37% 0.65 17 42 0.12% 1.00 78 13 0.09% 0.78
34 07 0.30% 0.59 16 78 0.11% 0.99 08 03 5.05% 0.73
29 16 3.08% 0.54 07 49 3.34% 0.98 52 15 0.53% 0.69
74 02 0.05% 0.40 08 14 6.70% 0.98 13 07 1.12% 0.67
25 12 0.71% 0.40 06 37 1.28% 0.98 42 03 0.07% 0.53
02 14 1.64% 0.40 07 08 6.59% 0.98 57 07 1.68% 0.50
01 07 5.71% 0.38 06 13 1.49% 0.97 14 01 3.92% 0.45
66 17 0.35% 0.37 12 52 0.71% 0.95 07 15 2.86% 0.43
02 05 4.06% 0.35 01 56 0.36% 0.95 53 13 0.55% 0.42
23 04 1.84% 0.30 12 38 2.23% 0.93 41 13 0.55% 0.39
26 12 1.10% 0.29 04 53 0.98% 0.90 38 13 1.02% 0.33
69 12 0.10% 0.26 14 51 2.65% 0.89 50 07 1.62% 0.31
11 04 2.21% 0.22 04 35 10.52% 0.87 47 13 0.11% 0.30
30 05 0.77% 0.21 17 41 0.92% 0.87 44 12 0.61% 0.29
31 15 0.60% 0.20 07 07 5.42% 0.87 56 01 0.14% 0.28
25 03 0.36% 0.17 03 55 0.93% 0.84 37 10 0.38% 0.28
02 01 0.96% 0.16 07 58 1.55% 0.78 44 07 5.79% 0.25
69 03 0.07% 0.15 06 50 2.97% 0.77 35 14 0.81% 0.22
74 04 0.03% 0.14 15 51 3.89% 0.70 56 08 0.10% 0.22
30 06 0.59% 0.13 16 44 4.81% 0.67 49 04 1.08% 0.22
HLA – human leucocyte antigen; Hap freq – haplotype frequency; Rel LD – relative linkage disequilibrium.
Only haplotypes with allele frequencies of at least 0.1% for both alleles were considered.
Table 5 - The 20 strongest relative linkage disequilibria for the haplotypes HLA-A-C, HLA-C-B and HLA-B-DRB1.
24 B.A. Lima et al.
(45), Brazilian (42), Caucasian Cuban (43), Spanish (44),
Madeiran (11,40) and Portuguese from Azores (39) popu-
lations, it was not identified as a common haplotype in
other mainland Portuguese populations (38). HLA-A*23-
C*04-B*44-DRB1*04 was the sixth most frequent (>1%)
haplotype in our sample and was described as a frequent
haplotype in the German (20), Caucasian Brazilian (42),
and other mainland Portuguese populations (38).
It is important to remember that the haplotypic frequen-
cies presented in this study are estimates based on the
frequencies of alleles; thus, they are not necessarily true.
Information on the ancestors of each individual is required
to identify the inherited haplotypes and thus determine the
true distribution.
Conclusions
We have described the distribution of HLA-A, -C, -B, and
-DRB1 alleles and haplotypes in volunteer bone marrow
donors recruited in Northern Portugal. Our data show
similarities between Portuguese and other western and
southern European populations in terms of allele and hap-
lotype frequencies.
The characterisation of the HLA composition in the Por-
tuguese population is important for understanding several
autoimmune diseases and most importantly, to organise
registries of volunteer bone marrow donors.
These data will make an important contribution to future
anthropological and disease association studies involving
the Portuguese population.
Acknowledgment
The authors acknowledge the contributions of Dr Nezih
Cereb from Histogenetics, Inc. (Ossining, NY) for invalu-
able advice and help with respect to the HLA typing meth-
ods described in this manuscript.
We are grateful to each bone marrow volunteer donor who
has registered to offer a stranger a second chance at life.
The authors declare that they have no conflict of interest.
References
1. Shiina T., Hosomichi K., Inoko H., Kulski J.K.: The HLA genomic
loci map: expression, interaction, diversity and disease. J Hum
Genet, 2009; 54(1):15-39.
2. Petersdorf E.: HLA matching in allogeneic stem cell transplanta-
tion. Curr Opin Hematol, 2004; 11:386-391.
3. Qin Qin P., Su F., Xiao Yan W., Xing Z., Meng P., Chengya W., Jie
diversity of HLA alleles and haplotypes. Patients showing
common HLA alleles on conserved haplotypes are more
likely to find full-matched unrelated donors than those
with rare alleles or haplotypes showing low frequencies. On
the other hand, the probability of identifying a matched
donor is higher when both patient and donor are of the
same ethnic background (36,37).
HLA polymorphism in Portugal was analysed in previous
studies using samples from less than 200 individuals from
mainland Portugal (38), the Azores Islands (39), and the
Madeira Islands (40,41). This study, using almost 38,000
volunteer bone marrow donors recruited from Northern
Portugal, represents the first investigation of the HLA class
I (HLA-A, -C, -B) and class II (HLA-DRB1) allele and
haplotype frequencies in the Portuguese population.
The most frequent (> 10%) HLA-A alleles (A*02, A*01,
A*03, and A*24), HLA-B alleles (B*44, and B*35) and
HLA-C alleles (C*07, and C*04) found in this study have
been shown to occur at a high frequency in many other
Caucasian populations (38,42-45).
Of the class II HLA alleles at the HLA-DRB1 locus, the
two most frequent (> 15%) allelic groups were HLA-
DRB1*07 and -DRB1*13, as previously reported by others
(38) for the Portuguese population.
HLA-A*01-C*07-B*08-DRB1*03 and HLA-A*29-C*16-
B*44-DRB1*07, described as being of Pan European
and Western European origin, respectively (44), were the
most frequent haplotypes in our sample and occur at high
frequencies in the Caucasian Brazilian (42), German (20),
Italian (45), Spanish (44) and the previously described
Portuguese population (38). The Iberian haplotype HLA-
A*33-C*08-B*14-DRB1*01 (44) was the third most fre-
quent haplotype in our sample and has been described
previously in north Portugal (38), Spain (44), Italy (45)
and Caucasian Cuba (43). Although HLA- A*03-C*07-
B*07-DRB1*15, the fourth most frequent haplotype in
our sample (western European origin (44)), has been
described as a frequent haplotype in German (20), Italian
HLA-A-C-B-DRB1
A C B DRB1 Hap freq
01 07 08 03 3.1%
29 16 44 07 2.1%
33 08 14 01 1.4%
03 07 07 15 1.2%
02 05 44 04 1.1%
23 04 44 07 1.0%
HLA – human leucocyte antigen; Hap freq – haplotype
frequency.
Table 6 - Haplotypes with a frequency higher than 1% for HLA-A-
C-B-DRB1.
Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 25
17. Zhang H., Wei S., Zheng H., Yu B., Lai J.: Distribution of human
leukocyte antigen alleles and haplotypes in Oroqen and Ewenki na-
tionality minority in Inner Mongolia Autonomous Region of China.
Int J Immunogenet, 2010; 37(5):337-344.
18. Schmidt A., Stahr A., Baier D., Schumacher S., Ehninger G.,
Rutt C.: Selective recruitment of stem cell donors with rare human
leukocyte antigen phenotypes. Bone Marrow Transplant, 2007;
40(9):823-830.
19. Meyer-Monard S., Passweg J., Troeger C., Eberhard H., Roosnek
E., de Faveri G., Chalandon Y., Rovo A., Kindler V., Irion O., Holz-
greve W., Gratwohl A., MĂŒller C., Tichelli A., Tiercy J.: Cord blood
banks collect units with different HLA alleles and haplotypes to vol-
unteer donor banks: a comparative report from Swiss Blood stem
cells. Bone Marrow Transplant, 2009; 43(10):771-778.
20. Eberhard H., Feldmann U., Bochtler W., Baier D., Rutt C.,
Schmidt A., MĂŒller C.: Estimating unbiased haplotype frequencies
from stem cell donor samples typed at heterogeneous resolutions:
a practical study based on over 1 million German donors. Tissue
Antigens, 2010; 76(5):352-361.
21. Yoon J., Shin S., Park M., Song E., Roh E.: HLA-A, -B, -DRB1
allele frequencies and haplotypic association from DNA typing
data of 7096 Korean cord blood units. Tissue Antigens, 2010;
75(2):170-173.
22. Copelan E.: Hematopoietic stem-cell transplantation. N Engl J
Med, 2006; 354(17):1813-1826.
23. Shaw B., Arguello R., Garcia-Sepulveda C., Madrigal J.: The
impact of HLA genotyping on survival following unrelated donor
haematopoietic stem cell transplantation. Br J Haematol, 2010;
150(3):251-258.
24. Gourraud P., Lamiraux P., El-Kadhi N., Raffoux C., Cambon-
Thomsen A.: Inferred HLA haplotype information for donors from
hematopoietic stem cells donor registries. Hum Immunol, 2005;
66(5):563-70.
25. Lai M., Wen S., Lin Y., Shyr M., Lin P., Yang K.: Distributions
of human leukocyte antigen-A, -B, and -DRB1 alleles and haplo-
types based on 46,915 Taiwanese donors. Hum Immunol, 2010;
71(8):777-782.
26. Moatter T., Aban M., Tabassum S., Shaikh U., Pervez S.: Molecu-
lar analysis of human leukocyte antigen class I and class II allele
frequencies and haplotype distribution in Pakistani population.
Indian J Hum Genet, 2010; 16(3):149-153.
27. Schmidt A., Solloch U., Pingel J., Baier D., Böhme I., Dubicka
K., Schumacher S., Rutt C., Skotnicki A., Wachowiak J., Ehninger
G.: High-resolution human leukocyte antigen allele and haplotype
frequencies of the Polish population based on 20,653 stem cell
donors. Hum Immunol, 2011; 72(7):558-565.
28. Lima B.: Bone marrow volunteer donors recruitment in North-
ern Portugal. Acta Med Port, 2011; 24:301-306.
29. Nunes E., Heslop H., Fernandez-Vina M., Taves C., Wagenknecht
D., Eisenbrey A., Fischer G., Poulton K., Wacker K., Hurley C., No-
reen H., Sacchi N.: Definitions of histocompatibility typing terms:
Harmonization of Histocompatibility Typing Terms Working Group.
Hum Immunol, 2011; 72(12):1214-1216.
S.: Distribution of human leucocyte antigen-A, -B and -DR alleles
and haplotypes at high resolution in the population from Jiangsu
province of China. Int J Immunogenet, 2011; 38(6):475-481.
4. Bodmer W.: HLA structure and function: a contemporary view.
Tissue Antigens, 1981; 17(1): 9-20.
5. Choo S.: The HLA system: genetics, immunology, clinical testing,
and clinical implications. Yonsei Med J, 2007; 48(1):11-23.
6. Ali M., Ahmed M., Alam S., Rahman M.: HLA-A, -B and -DRB1
allele frequencies in the Bangladeshi population. Tissue Antigens,
2008; 72(2):115-9.
7. Muller C., Ehninger G., Goldman S.: Gene and haplotype
frequencies for the loci HLA-A, HLA-B, and HLA-DR based on
over 13,000 German blood donors. Human Immunology, 2003;
64:137-151.
8. Jiang B., Li Y., Wu H., He X., Li C., Li L., Tang R., Xie Y., Mao Y.:
Application of HLA-DRB1 genotyping by oligonucleotide micro-
array technology in forensic medicine. Forensic Sci Int, 2006;
162(1-3):66-73.
9. Trachtenberg E., Vinson M., Hayes E., Hsu Y., Houtchens K., Erlich
H., Klitz W., Hsia Y., Hollenbach J.: HLA class I (A, B, C) and class II
(DRB1, DQA1, DQB1, DPB1) alleles and haplotypes in the Han from
southern China. Tissue Antigens, 2007; 70(6):455-463.
10. Valluri V., Mustafa M., Santhosh A., Middleton D., Alvares M.,
El Haj E., Gumama O., Abdel-Wareth L.: Frequencies of HLA-A, HLA-
B, HLA-DR, and HLA-DQ phenotypes in the United Arab Emirates
population. Tissue Antigens, 2005; 66(2):107-113.
11. Arnaiz-Villena A., Karin M., Bendikuze N., Gomez-Casado E., Mo-
scoso J., Silvera C., Oguz F., Sarper Diler A., De Pacho A., Allende
L., Guillen J., Martinez L.: HLA alleles and haplotypes in the Turkish
population: relatedness to Kurds, Armenians and other Mediter-
raneans. Tissue Antigens, 2001; 57(4):308-317.
12. Mack S., Tu B., Yang R., Masaberg C., Ng J., Hurley C.: Human
leukocyte antigen-A, -B, -C, -DRB1 allele and haplotype frequen-
cies in Americans originating from southern Europe: contrasting
patterns of population differentiation between Italian and Spanish
Americans. Hum Immunol, 2011; 72(2):144-149.
13. Romphruk A., Kongmaroeng C., Klumkrathok K., Paupairoj C.,
Leelayuwat C.: HLA class I and II alleles and haplotypes in ethnic
Northeast Thais. Tissue Antigens, 2010; 75(6):701-711.
14. Hajjej A., Hajjej G., Almawi W., Kaabi H., El-Gaaied A., Hmida
S.: HLA class I and class II polymorphism in a population from
south-eastern Tunisia (Gabes Area). Int J Immunogenet, 2011;
38(3):191-199.
15. Spellman S., Setterholm M., Maiers M., Noreen H., Oudshoorn
M., Fernandez-Viña M., Petersdorf E., Bray R., Hartzman R., Ng J.,
Hurley C.: Advances in the selection of HLA-compatible donors:
refinements in HLA typing and matching over the first 20 years of
the National Marrow Donor Program Registry. Biol Blood Marrow
Transplant, 2008; 14(9):37-44.
16. Sulcebe G., Sanchez-Mazas A., Tiercy J., Shyti E., Mone I., Ylli Z.,
Kardhashi V.: HLA allele and haplotype frequencies in the Albanian
population and their relationship with the other European popula-
tions. Int J Immunogenet, 2009; 36(6):337-343.
26 B.A. Lima et al.
Armas J.: HLA class I and II polymorphisms in Azores show different
settlements in Oriental and Central islands. Tissue Antigens, 2005;
66(3):217-230.
40. SpĂ­nola H., Bruges-Armas J., Mora M., Middleton D., Brehm A.:
HLA genes in Madeira Island (Portugal) inferred from sequence-
based typing: footprints from different origins. Mol Immunol,
2006; 43(10):1726-1728.
41. Arnaiz-Villena A., Reguera R., Ferri A., Barbolla L., Abd-El-
Fatah-Khalil S., Bakhtiyarova N., Millan P., Moscoso J., Mafalda
A., Serrano-Vela J.: The peopling of Madeira Archipelago (Portugal)
according to HLA genes. Int J Immunogenet, 2009; 36(1):9-14.
42. Bortolotto A., Petry M., da Silveira J., Raya A., Fernandes S.,
Neumann J., Bonorino C.: HLA-A, -B, and -DRB1 allelic and haplo-
typic diversity in a sample of bone marrow volunteer donors from
Rio Grande do Sul State, Brazil. Hum Immunol, 2012; 73(2):180-
185.
43. Ferrer A., NazĂĄbal M., Companioni O., FernĂĄndez de CossĂ­o M.,
Camacho H., Cintado A., Benítez J., Casalvilla R., Sautié M., Vil-
lareal A., DĂ­az T., Marrero A., FernĂĄndez de CossĂ­o J., Hodelin A.,
Leal L., Ballester L., Novoa L., Middleton D., Dueñas M.: HLA class
I polymorphism in the Cuban population. Hum Immunol, 2007;
68(11):918-927.
44. Sanchez-Velasco P., Gomez-Casado E., Martinez-Laso J., Mos-
coso J., Zamora J., Lowy E., Silvera C., Cemborain A., Leyva-CobiĂĄn
F., Arnaiz-Villena A.: HLA alleles in isolated populations from North
Spain: origin of the Basques and the ancient Iberians. Tissue Anti-
gens, 2003; 61(5):384-392.
45. Rendine S., Ferrero N., Sacchi N., Costa C., Pollichieni S., Amo-
roso A.: Estimation of human leukocyte antigen class I and class
II high-resolution allele and haplotype frequencies in the Italian
population and comparison with other European populations.
Hum Immunol, 2012; 73(4):399-404.
30. Excoffier L., Laval G., Schneider S.: Arlequin (version 3.0): an
integrated software package for population genetics data analysis.
Evol Bioinform Online, 2007; 1:47-50.
31. Excoffier L., Slatkin M.: Maximum-likelihood estimation of
molecular haplotype frequencies in a diploid population. Mol Biol
Evol, 1995; 12(5):921-927.
32. Guo S., Thompson E.: Performing the exact test of Hardy-Wein-
berg proportion for multiple alleles. Biometrics, 1992; 48(2):361-
372.
33. Excoffier L., Slatkin M.: Incorporating genotypes of relatives
into a test of linkage disequilibrium. Am J Hum Genet, 1998;
62(1):171-80.
34. Schmidt A., Baier D., Solloch U., Stahr A., Cereb N., Wassmuth
R., Ehninger G., Rutt C.: Estimation of high-resolution HLA-A, -B,
-C, -DRB1 allele and haplotype frequencies based on 8862 German
stem cell donors and implications for strategic donor registry plan-
ning. Hum Immunol, 2009; 70(11):895-902.
35. Beatty P., Dahlberg S., Mickelson E., Nisperos B., Opelz G.,
Martin P., Hansen J.: Probability of finding HLA-matched unrelated
marrow donors. Transplantation, 1988; 45(4):714-718.
36. Pedron B., Duval M., Elbou O., Moskwa M., Jambou M., Vilmer
E., Sterkers G.: Common genomic HLA haplotypes contributing to
successful donor search in unrelated hematopoietic transplanta-
tion. Bone Marrow Transplant, 2003; 31(6):423-427.
37. Balas A., GarcĂ­a-SĂĄnchez F., Vicario J.: Allelic and haplotypic
HLA frequency distribution in Spanish hematopoietic patients.
Implications for unrelated donor searching. Tissue Antigens, 2011;
77(1):45-53.
38. SpĂ­nola H., Middleton D., Brehm A.: HLA genes in Portugal
inferred from sequence-based typing: in the crossroad between
Europe and Africa. Tissue Antigens, 2005; 66(1):26-36.
39. SpĂ­nola H., Brehm A., Bettencourt B., Middleton D., Bruges-

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HLA allele and haplotype frequencies in Northern Portuguese bone marrow donors

  • 1. 19 HLA-A, -C, -B, AND -DRB1 ALLELIC AND HAPLOTYPIC DIVERSITY IN BONE MARROW VOLUNTEER DONORS FROM NORTHERN PORTUGAL Bruno A. Lima, Helena Alves Centro de Histocompatibilidade do Norte, Porto, Portugal Keywords - Haplotype frequency, human leukocyte antigen alleles, marrow donor registry, Portugal Received September 27th , 2012, accepted January 31st , 2013 Summary - Analysis of the HLA allelic and haplotype frequency data in different populations helps to shed light on the evolutionary factors that result in genetic polymorphism and the biological relationships among different ethnic groups. It is important to analyse HLA allele and haplotype frequencies in different populations to find compatible marrow trans- plantation donors from unrelated individuals. The aim of this study was to investigate the distribution of HLA-A, -C, -B and DRB1 alleles and haplotypes in Northern Portugal. The HLA-A, -C, -B, and -DRB1 allele frequencies were determined by direct counting. The haplotype frequencies were calculated using the expectation-maximisation algorithm in Arlequin v3 software. The Hardy-Weinberg equilibrium was verified using the Guo and Thompson method. The most frequent (> 10%) HLA-A alleles (A*02, A*01, A*03, and A*24), HLA-B alleles (B*44, and B*35) and HLA-C alleles (C*07, and C*04) found in this study frequently occur in many other Caucasian populations. Of the class II HLA alleles at the HLA-DRB1* locus, the allelic groups HLA-DRB1*07 and -DRB1*13 occur most frequently (> 15%) in the Portuguese population, as previously reported by others. The HLA-A*01-C*07-B*08-DRB1*03 and HLA-A*29-C*16-B*44-DRB1*07 haplotypes, described as being of Pan Euro- pean and western European origin, respectively, were the most frequent haplotypes found in our sample, and they are very frequent in Caucasian Brazilian, German, Italian, Spanish and the previously described Portuguese populations. These data represent an important contribution to future anthropological and disease association studies involving the Portuguese population. Correspondence: Bruno A. Lima, Centro de Histocompatibilidade do Norte, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal; e-mail: balima78@gmail.com Introduction The human leucocyte antigen (HLA) system, located on the short arm of chromosome 6, comprises the most poly- morphic loci in the human genome (1). The HLA system consists of class I, II, and III non-overlapping segments that encode cell-surface heterodimeric glycoproteins. Ge- netic variation at these loci plays an important role in the immune response and in haematopoietic stem cell transplantation (2-4). HLA class I and II genes play an es- sential role in histocompatibility and disease susceptibility, in the presentation of peptides to T-lymphocytes and in self/non-self recognition (5). The HLA system determines immune function, is involved in the susceptibility to a remarkably large number of complex diseases, determines the outcome of tissue transplantation, and is used in fo- rensic science (6-8). Examination of genetic data from the HLA region has proved valuable for the study of population affinities and ORGANS, TISSUES & CELLS, (16), 19-26, 2013
  • 2. 20 B.A. Lima et al. HLA region than merely matching at the allele level (24). The aim of this study was to investigate the distribution of HLA-A, -C, -B, and DRB1 alleles and haplotypes in Northern Portugal. We comprehensively documented the background HLA allelic representation and respec- tive haplotype profiles in a Portuguese population. This information should provide useful data for HLA matching in transplantations and for disease associations in the Por- tuguese population. Material and methods Subjects Our data set consisted of 37,993 unrelated donors from the Northern Portuguese bone marrow voluntary donor registry who were recruited between January 2010 and December 2011, as previously described (28). Donors were not recruited from projects that focused on the specific recruitment of donors with rare HLA phenotypes. The donors were typed for HLA-A, -C, -B, and -DRB1 at inter- mediate resolution. On recruitment, the donors were asked to indicate their ethnicity, and only 47 (0.01%) declared that they were not Caucasian. The mean age of the donors at recruitment was 31.72 (± 7.5) years and 14,408 (37.9%) of the donors were male. The donors signed an informed consent form. HLA typing The intermediate-resolution HLA typing was carried out at the American Society for Histocompatibility and Im- munogenetics – accredited laboratory of Histogenetics, Inc. (Ossining, NY). Sequence-based typing (SBT) was used for typing HLA class I (HLA-A, -B, -C) and class II (DRB1) genes. Sequencing templates were produced by locus- or group-specific pairs of oligonucleotide primers from genomic DNA by polymerase chain reaction (PCR). A total of 40 locus- and group- specific primers were used to amplify the target sequences. Sanger cycle sequencing was carried out using BigDye V3.1 (Applied Biosystems) chemistry and ABI 3730xl capillary sequencer for base call- ing. The PCR product was treated with Exonuclease, and ethanol precipitation was used to clean up post-sequencing reaction extension products. Class I sequencing primers were those locus-specific sequences for each locus in the intron/exon boundary regions to sequence the entire exons. All Class II PCR primers were tailed with M13 forward and T7 reverse sequences. Sequencing was performed on both strands. When further resolution was required for the ambiguous combinations that were not distinguished by these groups, additional sequencing of group-specific amplifications or group-specific sequencing primers were used. histories (9-12). Genetic distances are calculated from the frequency of the HLA alleles, which facilitates the char- acterisation of a population (13). Genetic distances and correspondence analyses have revealed that class I and class II allele loci and haplotype distribution are racially and geographically restricted (14). The high levels of linkage disequilibrium (LD) in the HLA region provide the oppor- tunity to examine population divergence using haplotypic data in addition to single loci. At the same time, the study of these extended haplotypes in long-established popula- tions may allow the selective processes at work in the HLA region to become more apparent (9). HLA population studies are of particular interest not only for anthropological and disease association studies but also for the implementation of haematopoietic stem cell transplantation networking through unrelated donor recruitment from the national registries (15,16). Analysis of the allele and haplotype frequency data in different populations sheds more light on the evolutionary factors that result in genetic polymorphism and the biological rela- tionships among different ethnic groups. It is important to analyse HLA allele and haplotype frequencies in different populations to locate compatible marrow transplantation donors from unrelated individuals (17). Knowledge of HLA haplotype frequencies has numerous applications in clinical medicine and forensic sciences. In particular, HLA haplotype frequencies are important for predicting the out- come of unrelated donor searches for individual patients in need of hematopoietic stem cell transplantation and to optimise donor search strategies (18-21). Haematopoietic stem cell transplantation (SCT) can be an effective treatment for certain malignant diseases involving the bone marrow, such as leukaemia, lymphoma, and my- eloma. The success of haematopoietic SCT is determined largely by the degree of HLA matching between donor and recipient (19,22-25). The HLA system plays a major role in allograft rejection. Since the early days of haematopoiet- ic stem cell transplantation, a genotypically HLA-identical sibling has been the donor of choice. Approximately 30% of patients have an HLA-identical sibling, 30-50% find a fully matched voluntary unrelated donor, whereas for 20-40% of patients, the search is unsuccessful (19). HLA molecules expressed by transplanted organs are strongly immunogenic, and if they are not matched with the donor HLA, they are recognised as non-self and initiate T-cell proliferation and destruction of the transplanted organ, which in association with other cellular and antibody re- sponses, may lead to graft rejection. Therefore, to predict the probability of finding compatible donors for unrelated bone marrow transplantations, it is valuable to have reli- able estimates of HLA allele and haplotype frequencies (18,26,27). HLA matching at the haplotype level may have a higher likelihood of matching at other loci within the
  • 3. Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 21 were observed. The most frequent allele was B*44 (15%), followed by B*35 (11.8%), B*51 (10.7%), B*14 (7.6%) and B*08 (6.7%). A total of 13 different DRB1 alleles were detected. DRB1*07 was the most common allele, with a frequency of 17.7%. Other frequent alleles were DRB1*13 (15.1%), DRB1*04 (13.0%), DRB1*01 (12.2%) and DRB1*03 (10.2%). The alleles corresponding to HLA- B*46, B*54, B*67, B*73, B*81 and B*82 were detected at frequencies lower than 0.05%. The 20 most frequent HLA-A-C, HLA-C-B, and HLA-B- DRB1 haplotypes are summarised in Table 4. The negative linkage disequilibria reported are primarily an epiphenom- enon of the positive disequilibria. For example, the nega- tive disequilibria found for haplotypes HLA-A*02-C*07, HLA-A*02-C*04, HLA-A*02-C*15, HLA-A*02-C*16 and HLA-A*02-C*12 are just the immediate consequence of the strong positive disequilibria between HLA-A*02- C*14, HLA-A*02-C*05 and HLA-A*02-C*01. In total, 239 HLA-A-C, 224 HLA-C-B, 336 HLA-B- DRB1, 1,299 HLA-A-C-B and 4,416 HLA-A-C-B-DRB1 distinct haplotypes were identified. The most common two-locus HLA haplotypes, with a haplotype frequency > 5%, were as follows: A*01-C*07 (5.7%), A*02-C*07 (5.6%), C*04-B*35 (10.5%), C*08-B*14 (6.7%), C*07- B*08 (6.6%), C*05-B*44 (5.5%), and C*07-B*07 (5.4%). Table 5 shows the 20 strongest relative LDs for the HLA- A-C, HLA-C-B, and HLA-B-DRB1 haplotypes. As ex- pected, the strongest LD was observed for the HLA-C-B haplotype, reflecting the small spatial distance between these HLA genes, followed by HLA-B-DRB1. The most common three-locus haplotypes, with a haplotype frequen- cy > 2%, were as follows: A*01-C*07-B*08 (4.1%), A*02- C*05-B*44 (3.5%), A*29-C*16-B*44 (2.9%), A*33-C*08- B*14 (2.4%), A*03-C*04-B*35 (2.2%), A*03-C*07-B*07 (2.1%), and A*02-C*04-B*35 (2.1%) (data not shown). The most common four-locus haplotypes, with a haplotype frequency > 1% (Table 6), were as follows: A*01-C*07- B*08-DRB1*03 (3.1%), A*29-C*16-B*44-DRB1*07 (2.1%), A*33-C*08-B*14-DRB1*01 (1.4%), A*03-C*07- B*07-DRB1*15 (1.2%), A*02-C*05-B*44-DRB1*04 (1.1%), and A*23-C*04-B*44-DRB1*07 (1.0%). Discussion The HLA loci are the most polymorphic gene clusters in humans, playing a key role in peptide presentation to T-lymphocytes and self/non-self recognition. Since its discovery, the most important clinical application of the HLA system has been the selection of suitable donors for transplantation or transfusion (7,35). In spite of the expan- sion of unrelated donor registries, allelic HLA matching remains a problem for many patients because of the large Generally, the alleles were identified using the National Marrow Donor Program codification system and then grouped according to their corresponding low resolution typing (two digits (29)). A peripheral whole-blood sample of each volunteer bone marrow donor was collected in acid citrate dextrose (ACD) anticoagulant. ACD whole blood was stored at 4-8ÂșC until genomic DNA was extracted. The blood was collected by the Centro de Histocompatibilidade do Norte, the reference histocompatibility laboratory in Northern Portugal (28). Statistical analysis The HLA antigen typing results were obtained at an inter- mediate resolution. All statistical analyses were performed at the two digit-allele family level. The HLA-A, -C, -B, and -DRB1 allele frequencies (AF) were determined for each allele in the donors using the follow- ing formula: AF(%) = (n/2N) x 100, where n indicates the sum of a particular allele and N indicates the total number of individuals. The haplotype frequencies and verification of the Hardy-Weinberg equilibrium were calculated using Arlequin v3 software (30). The expectation-maximisation algorithm was used to determine the haplotype frequencies, as described by Excoffier and Slatkin (31). This method al- lows the estimation of the random haplotype frequencies of the sample. The Hardy-Weinberg equilibrium was verified using the method described by Guo and Thompson (32). The linkage disequilibrium between all pairs of loci was also tested (33) using Arlequin v3. The relative linkage disequilibrium values (LD) D’ij of alleles i and j were calculated as described elsewhere (7). The 20 strongest positive relative LD were identified for each analysed haplotype. To focus on relevant LDs, only haplotypes with allele frequencies of at least 0.1% for both alleles were considered (34). Results None of the loci tested showed any significant departure from the Hardy-Weinberg equilibrium; all of the p values for the exact test exceeded 0.05 (Table 1). Statistical sig- nificance was reached when overall linkage equilibrium was tested between all pairs of loci (Table 2). The frequencies of HLA-A, -C, -B, and -DRB1 alleles in our Portuguese samples are summarised in Table 3. Differ- ent HLA-A alleles, 20 in total, were detected; A*02, with a frequency of 27.5%, was the most frequent allele, followed by A*01 (10.9%), A*03 (10.4%), A*24 (10.3%) and A*11 (6.5%). At the HLA-C locus, 14 different alleles were detected. The most common allele was C*07 (23.1%), followed by C*04 (15.5%), C*06 (8.6%), C*05 (7.7%) and C*08 (6.8%). At the HLA-B locus, 34 different alleles
  • 4. 22 B.A. Lima et al. HLA-A No. of allele frequency (%) HLA-C No. of allele frequency (%) HLA-B No. of allele frequency (%) HLA- DRB1 No. of allele frequency (%) 01 8278 10,9% 01 1859 2.45% 07 4573 6.0% 01 9262 12.2% 02 20899 27.5% 02 4819 6.34% 08 5097 6.7% 03 7757 10.2% 03 7874 10.4% 03 5129 6.75% 13 1168 1.5% 04 9866 13.0% 11 4925 6.5% 04 11758 15.47% 14 5753 7.6% 07 13448 17.7% 23 3427 4.5% 05 5829 7.67% 15 4291 5.6% 08 3375 4.4% 24 7814 10.3% 06 6570 8.65% 18 3624 4.8% 09 514 0.7% 25 1220 1.6% 07 17524 23.06% 27 2337 3.1% 10 1294 1.7% 26 2501 3.3% 08 5195 6.84% 35 8946 11.8% 11 7639 10.1% 29 4068 5.4% 12 5110 6.72% 37 994 1.3% 12 1169 1.5% 30 2147 2.8% 14 2224 2.93% 38 1818 2.4% 13 11470 15.1% 31 1914 2.5% 15 4031 5.30% 39 1318 1.7% 14 1953 2.6% 32 2977 3.9% 16 5081 6.69% 40 2633 3.5% 15 6384 8.4% 33 2668 3.5% 17 803 1.06% 41 859 1.1% 16 1855 2.4% 34 337 0.4% 18 54 0.07% 42 89 0.1% Total 75986 100.0% 36 45 0.1% Total 75986 100% 44 11426 15.0% 66 695 0.9% 45 1001 1.3% 68 3798 5.0% 46 4 0.0% 69 255 0.3% 47 204 0.3% 74 85 0.1% 48 64 0.1% 80 59 0.1% 49 2579 3.4% Total 75986 100% 50 2851 3.8% 51 8122 10.7% 52 560 0.7% 53 813 1.1% 54 4 0.0% 55 832 1.1% 56 291 0.4% 57 2173 2.9% 58 1422 1.9% 67 23 0.0% 73 28 0.0% 78 82 0.1% 81 6 0.0% 82 1 0.0% Total 75986 100% HLA – human leucocyte antigen. Table 3 - Distribution of HLA-A -C, -B, and DRB1 allele frequencies in the Northern Portuguese population (n = 37993). Locus # Genotypes Observed Heterozygosity Expected Heterozygosity P-value A 37993 0.8737 0.8739 0.098 C 37993 0.8811 0.8829 0.732 B 37993 0.9273 0.9250 0.280 DRB1 37993 0.8817 0.8828 0.157 HW – Hardy-Weinberg; HLA – human leucocyte antigen. Table 1 - HW equilibrium test of HLA-A. -C. -B and -DRB1 genotype frequencies. HLA-A HLA-C HLA-B HLA-DRB1 HLA-A - P<0.00001 P<0.00001 P<0.00001 HLA-C - - P<0.00001 P<0.00001 HLA-B - - - P<0.00001 HLA – human leucocyte antigen. Table 2 - P-values for pairwise linkage equilibrium test.
  • 5. Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 23 HLA-A-C HLA-C-B HLA-B-DRB1 A C Hap freq Rel LD C B Hap freq Rel LD B DRB1 Hap freq Rel LD 01 07 5.71% 0.38 04 35 10.52% 0.87 44 07 5.79% 0.25 02 07 5.55% -0.12 08 14 6.70% 0.98 08 03 5.05% 0.73 02 05 4.06% 0.35 07 08 6.59% 0.98 14 01 3.92% 0.45 02 04 3.36% -0.21 05 44 5.52% 0.67 35 01 3.03% 0.15 29 16 3.08% 0.54 07 07 5.42% 0.87 07 15 2.86% 0.43 03 07 3.04% 0.08 16 44 4.81% 0.67 44 04 2.43% 0.04 02 06 2.97% 0.09 15 51 3.89% 0.70 44 13 2.19% -0.03 24 07 2.44% 0.01 07 49 3.34% 0.98 35 11 2.02% 0.09 03 04 2.42% 0.09 06 50 2.97% 0.77 51 13 1.80% 0.02 33 08 2.37% 0.65 03 15 2.96% 0.49 51 04 1.77% 0.04 11 04 2.21% 0.22 04 44 2.88% 0.04 51 11 1.74% 0.07 02 02 2.00% 0.06 14 51 2.65% 0.89 57 07 1.68% 0.50 02 03 1.87% 0.00 12 38 2.23% 0.93 15 13 1.67% 0.17 23 04 1.84% 0.30 03 40 2.06% 0.57 50 07 1.62% 0.31 01 06 1.65% 0.09 02 27 1.61% 0.49 14 07 1.49% 0.02 02 14 1.64% 0.40 07 58 1.55% 0.78 35 04 1.45% -0.05 24 04 1.64% 0.01 05 18 1.53% 0.26 35 13 1.33% -0.25 02 15 1.31% -0.10 06 13 1.49% 0.97 51 08 1.27% 0.20 02 16 1.30% -0.30 07 18 1.45% 0.09 18 03 1.19% 0.16 02 12 1.26% -0.32 06 57 1.41% 0.44 51 07 1.16% -0.39 HLA – human leucocyte antigen; Hap freq – haplotype frequency; Rel LD – relative linkage disequilibrium. Table 4 - The 20 most frequent haplotypes for HLA-A-C, HLA-C-B and HLA-B-DRB1. HLA-A-C HLA-C-B HLA-B-DRB1 A C Hap freq Rel LD C B Hap freq Rel LD B DRB1 Hap freq Rel LD 33 08 2.37% 0.65 17 42 0.12% 1.00 78 13 0.09% 0.78 34 07 0.30% 0.59 16 78 0.11% 0.99 08 03 5.05% 0.73 29 16 3.08% 0.54 07 49 3.34% 0.98 52 15 0.53% 0.69 74 02 0.05% 0.40 08 14 6.70% 0.98 13 07 1.12% 0.67 25 12 0.71% 0.40 06 37 1.28% 0.98 42 03 0.07% 0.53 02 14 1.64% 0.40 07 08 6.59% 0.98 57 07 1.68% 0.50 01 07 5.71% 0.38 06 13 1.49% 0.97 14 01 3.92% 0.45 66 17 0.35% 0.37 12 52 0.71% 0.95 07 15 2.86% 0.43 02 05 4.06% 0.35 01 56 0.36% 0.95 53 13 0.55% 0.42 23 04 1.84% 0.30 12 38 2.23% 0.93 41 13 0.55% 0.39 26 12 1.10% 0.29 04 53 0.98% 0.90 38 13 1.02% 0.33 69 12 0.10% 0.26 14 51 2.65% 0.89 50 07 1.62% 0.31 11 04 2.21% 0.22 04 35 10.52% 0.87 47 13 0.11% 0.30 30 05 0.77% 0.21 17 41 0.92% 0.87 44 12 0.61% 0.29 31 15 0.60% 0.20 07 07 5.42% 0.87 56 01 0.14% 0.28 25 03 0.36% 0.17 03 55 0.93% 0.84 37 10 0.38% 0.28 02 01 0.96% 0.16 07 58 1.55% 0.78 44 07 5.79% 0.25 69 03 0.07% 0.15 06 50 2.97% 0.77 35 14 0.81% 0.22 74 04 0.03% 0.14 15 51 3.89% 0.70 56 08 0.10% 0.22 30 06 0.59% 0.13 16 44 4.81% 0.67 49 04 1.08% 0.22 HLA – human leucocyte antigen; Hap freq – haplotype frequency; Rel LD – relative linkage disequilibrium. Only haplotypes with allele frequencies of at least 0.1% for both alleles were considered. Table 5 - The 20 strongest relative linkage disequilibria for the haplotypes HLA-A-C, HLA-C-B and HLA-B-DRB1.
  • 6. 24 B.A. Lima et al. (45), Brazilian (42), Caucasian Cuban (43), Spanish (44), Madeiran (11,40) and Portuguese from Azores (39) popu- lations, it was not identified as a common haplotype in other mainland Portuguese populations (38). HLA-A*23- C*04-B*44-DRB1*04 was the sixth most frequent (>1%) haplotype in our sample and was described as a frequent haplotype in the German (20), Caucasian Brazilian (42), and other mainland Portuguese populations (38). It is important to remember that the haplotypic frequen- cies presented in this study are estimates based on the frequencies of alleles; thus, they are not necessarily true. Information on the ancestors of each individual is required to identify the inherited haplotypes and thus determine the true distribution. Conclusions We have described the distribution of HLA-A, -C, -B, and -DRB1 alleles and haplotypes in volunteer bone marrow donors recruited in Northern Portugal. Our data show similarities between Portuguese and other western and southern European populations in terms of allele and hap- lotype frequencies. The characterisation of the HLA composition in the Por- tuguese population is important for understanding several autoimmune diseases and most importantly, to organise registries of volunteer bone marrow donors. These data will make an important contribution to future anthropological and disease association studies involving the Portuguese population. Acknowledgment The authors acknowledge the contributions of Dr Nezih Cereb from Histogenetics, Inc. (Ossining, NY) for invalu- able advice and help with respect to the HLA typing meth- ods described in this manuscript. We are grateful to each bone marrow volunteer donor who has registered to offer a stranger a second chance at life. The authors declare that they have no conflict of interest. References 1. Shiina T., Hosomichi K., Inoko H., Kulski J.K.: The HLA genomic loci map: expression, interaction, diversity and disease. J Hum Genet, 2009; 54(1):15-39. 2. Petersdorf E.: HLA matching in allogeneic stem cell transplanta- tion. Curr Opin Hematol, 2004; 11:386-391. 3. Qin Qin P., Su F., Xiao Yan W., Xing Z., Meng P., Chengya W., Jie diversity of HLA alleles and haplotypes. Patients showing common HLA alleles on conserved haplotypes are more likely to find full-matched unrelated donors than those with rare alleles or haplotypes showing low frequencies. On the other hand, the probability of identifying a matched donor is higher when both patient and donor are of the same ethnic background (36,37). HLA polymorphism in Portugal was analysed in previous studies using samples from less than 200 individuals from mainland Portugal (38), the Azores Islands (39), and the Madeira Islands (40,41). This study, using almost 38,000 volunteer bone marrow donors recruited from Northern Portugal, represents the first investigation of the HLA class I (HLA-A, -C, -B) and class II (HLA-DRB1) allele and haplotype frequencies in the Portuguese population. The most frequent (> 10%) HLA-A alleles (A*02, A*01, A*03, and A*24), HLA-B alleles (B*44, and B*35) and HLA-C alleles (C*07, and C*04) found in this study have been shown to occur at a high frequency in many other Caucasian populations (38,42-45). Of the class II HLA alleles at the HLA-DRB1 locus, the two most frequent (> 15%) allelic groups were HLA- DRB1*07 and -DRB1*13, as previously reported by others (38) for the Portuguese population. HLA-A*01-C*07-B*08-DRB1*03 and HLA-A*29-C*16- B*44-DRB1*07, described as being of Pan European and Western European origin, respectively (44), were the most frequent haplotypes in our sample and occur at high frequencies in the Caucasian Brazilian (42), German (20), Italian (45), Spanish (44) and the previously described Portuguese population (38). The Iberian haplotype HLA- A*33-C*08-B*14-DRB1*01 (44) was the third most fre- quent haplotype in our sample and has been described previously in north Portugal (38), Spain (44), Italy (45) and Caucasian Cuba (43). Although HLA- A*03-C*07- B*07-DRB1*15, the fourth most frequent haplotype in our sample (western European origin (44)), has been described as a frequent haplotype in German (20), Italian HLA-A-C-B-DRB1 A C B DRB1 Hap freq 01 07 08 03 3.1% 29 16 44 07 2.1% 33 08 14 01 1.4% 03 07 07 15 1.2% 02 05 44 04 1.1% 23 04 44 07 1.0% HLA – human leucocyte antigen; Hap freq – haplotype frequency. Table 6 - Haplotypes with a frequency higher than 1% for HLA-A- C-B-DRB1.
  • 7. Hla-a, -c, -b, and -drb1 allelic and haplotypic diversity in bone marrow volunteer donors
 25 17. Zhang H., Wei S., Zheng H., Yu B., Lai J.: Distribution of human leukocyte antigen alleles and haplotypes in Oroqen and Ewenki na- tionality minority in Inner Mongolia Autonomous Region of China. Int J Immunogenet, 2010; 37(5):337-344. 18. Schmidt A., Stahr A., Baier D., Schumacher S., Ehninger G., Rutt C.: Selective recruitment of stem cell donors with rare human leukocyte antigen phenotypes. Bone Marrow Transplant, 2007; 40(9):823-830. 19. Meyer-Monard S., Passweg J., Troeger C., Eberhard H., Roosnek E., de Faveri G., Chalandon Y., Rovo A., Kindler V., Irion O., Holz- greve W., Gratwohl A., MĂŒller C., Tichelli A., Tiercy J.: Cord blood banks collect units with different HLA alleles and haplotypes to vol- unteer donor banks: a comparative report from Swiss Blood stem cells. Bone Marrow Transplant, 2009; 43(10):771-778. 20. Eberhard H., Feldmann U., Bochtler W., Baier D., Rutt C., Schmidt A., MĂŒller C.: Estimating unbiased haplotype frequencies from stem cell donor samples typed at heterogeneous resolutions: a practical study based on over 1 million German donors. Tissue Antigens, 2010; 76(5):352-361. 21. Yoon J., Shin S., Park M., Song E., Roh E.: HLA-A, -B, -DRB1 allele frequencies and haplotypic association from DNA typing data of 7096 Korean cord blood units. Tissue Antigens, 2010; 75(2):170-173. 22. Copelan E.: Hematopoietic stem-cell transplantation. N Engl J Med, 2006; 354(17):1813-1826. 23. Shaw B., Arguello R., Garcia-Sepulveda C., Madrigal J.: The impact of HLA genotyping on survival following unrelated donor haematopoietic stem cell transplantation. Br J Haematol, 2010; 150(3):251-258. 24. Gourraud P., Lamiraux P., El-Kadhi N., Raffoux C., Cambon- Thomsen A.: Inferred HLA haplotype information for donors from hematopoietic stem cells donor registries. Hum Immunol, 2005; 66(5):563-70. 25. Lai M., Wen S., Lin Y., Shyr M., Lin P., Yang K.: Distributions of human leukocyte antigen-A, -B, and -DRB1 alleles and haplo- types based on 46,915 Taiwanese donors. Hum Immunol, 2010; 71(8):777-782. 26. Moatter T., Aban M., Tabassum S., Shaikh U., Pervez S.: Molecu- lar analysis of human leukocyte antigen class I and class II allele frequencies and haplotype distribution in Pakistani population. Indian J Hum Genet, 2010; 16(3):149-153. 27. Schmidt A., Solloch U., Pingel J., Baier D., Böhme I., Dubicka K., Schumacher S., Rutt C., Skotnicki A., Wachowiak J., Ehninger G.: High-resolution human leukocyte antigen allele and haplotype frequencies of the Polish population based on 20,653 stem cell donors. Hum Immunol, 2011; 72(7):558-565. 28. Lima B.: Bone marrow volunteer donors recruitment in North- ern Portugal. Acta Med Port, 2011; 24:301-306. 29. Nunes E., Heslop H., Fernandez-Vina M., Taves C., Wagenknecht D., Eisenbrey A., Fischer G., Poulton K., Wacker K., Hurley C., No- reen H., Sacchi N.: Definitions of histocompatibility typing terms: Harmonization of Histocompatibility Typing Terms Working Group. Hum Immunol, 2011; 72(12):1214-1216. S.: Distribution of human leucocyte antigen-A, -B and -DR alleles and haplotypes at high resolution in the population from Jiangsu province of China. Int J Immunogenet, 2011; 38(6):475-481. 4. Bodmer W.: HLA structure and function: a contemporary view. Tissue Antigens, 1981; 17(1): 9-20. 5. Choo S.: The HLA system: genetics, immunology, clinical testing, and clinical implications. Yonsei Med J, 2007; 48(1):11-23. 6. Ali M., Ahmed M., Alam S., Rahman M.: HLA-A, -B and -DRB1 allele frequencies in the Bangladeshi population. Tissue Antigens, 2008; 72(2):115-9. 7. Muller C., Ehninger G., Goldman S.: Gene and haplotype frequencies for the loci HLA-A, HLA-B, and HLA-DR based on over 13,000 German blood donors. Human Immunology, 2003; 64:137-151. 8. Jiang B., Li Y., Wu H., He X., Li C., Li L., Tang R., Xie Y., Mao Y.: Application of HLA-DRB1 genotyping by oligonucleotide micro- array technology in forensic medicine. Forensic Sci Int, 2006; 162(1-3):66-73. 9. Trachtenberg E., Vinson M., Hayes E., Hsu Y., Houtchens K., Erlich H., Klitz W., Hsia Y., Hollenbach J.: HLA class I (A, B, C) and class II (DRB1, DQA1, DQB1, DPB1) alleles and haplotypes in the Han from southern China. Tissue Antigens, 2007; 70(6):455-463. 10. Valluri V., Mustafa M., Santhosh A., Middleton D., Alvares M., El Haj E., Gumama O., Abdel-Wareth L.: Frequencies of HLA-A, HLA- B, HLA-DR, and HLA-DQ phenotypes in the United Arab Emirates population. Tissue Antigens, 2005; 66(2):107-113. 11. Arnaiz-Villena A., Karin M., Bendikuze N., Gomez-Casado E., Mo- scoso J., Silvera C., Oguz F., Sarper Diler A., De Pacho A., Allende L., Guillen J., Martinez L.: HLA alleles and haplotypes in the Turkish population: relatedness to Kurds, Armenians and other Mediter- raneans. Tissue Antigens, 2001; 57(4):308-317. 12. Mack S., Tu B., Yang R., Masaberg C., Ng J., Hurley C.: Human leukocyte antigen-A, -B, -C, -DRB1 allele and haplotype frequen- cies in Americans originating from southern Europe: contrasting patterns of population differentiation between Italian and Spanish Americans. Hum Immunol, 2011; 72(2):144-149. 13. Romphruk A., Kongmaroeng C., Klumkrathok K., Paupairoj C., Leelayuwat C.: HLA class I and II alleles and haplotypes in ethnic Northeast Thais. Tissue Antigens, 2010; 75(6):701-711. 14. Hajjej A., Hajjej G., Almawi W., Kaabi H., El-Gaaied A., Hmida S.: HLA class I and class II polymorphism in a population from south-eastern Tunisia (Gabes Area). Int J Immunogenet, 2011; 38(3):191-199. 15. Spellman S., Setterholm M., Maiers M., Noreen H., Oudshoorn M., Fernandez-Viña M., Petersdorf E., Bray R., Hartzman R., Ng J., Hurley C.: Advances in the selection of HLA-compatible donors: refinements in HLA typing and matching over the first 20 years of the National Marrow Donor Program Registry. Biol Blood Marrow Transplant, 2008; 14(9):37-44. 16. Sulcebe G., Sanchez-Mazas A., Tiercy J., Shyti E., Mone I., Ylli Z., Kardhashi V.: HLA allele and haplotype frequencies in the Albanian population and their relationship with the other European popula- tions. Int J Immunogenet, 2009; 36(6):337-343.
  • 8. 26 B.A. Lima et al. Armas J.: HLA class I and II polymorphisms in Azores show different settlements in Oriental and Central islands. Tissue Antigens, 2005; 66(3):217-230. 40. SpĂ­nola H., Bruges-Armas J., Mora M., Middleton D., Brehm A.: HLA genes in Madeira Island (Portugal) inferred from sequence- based typing: footprints from different origins. Mol Immunol, 2006; 43(10):1726-1728. 41. Arnaiz-Villena A., Reguera R., Ferri A., Barbolla L., Abd-El- Fatah-Khalil S., Bakhtiyarova N., Millan P., Moscoso J., Mafalda A., Serrano-Vela J.: The peopling of Madeira Archipelago (Portugal) according to HLA genes. Int J Immunogenet, 2009; 36(1):9-14. 42. Bortolotto A., Petry M., da Silveira J., Raya A., Fernandes S., Neumann J., Bonorino C.: HLA-A, -B, and -DRB1 allelic and haplo- typic diversity in a sample of bone marrow volunteer donors from Rio Grande do Sul State, Brazil. Hum Immunol, 2012; 73(2):180- 185. 43. Ferrer A., NazĂĄbal M., Companioni O., FernĂĄndez de CossĂ­o M., Camacho H., Cintado A., BenĂ­tez J., Casalvilla R., SautiĂ© M., Vil- lareal A., DĂ­az T., Marrero A., FernĂĄndez de CossĂ­o J., Hodelin A., Leal L., Ballester L., Novoa L., Middleton D., Dueñas M.: HLA class I polymorphism in the Cuban population. Hum Immunol, 2007; 68(11):918-927. 44. Sanchez-Velasco P., Gomez-Casado E., Martinez-Laso J., Mos- coso J., Zamora J., Lowy E., Silvera C., Cemborain A., Leyva-CobiĂĄn F., Arnaiz-Villena A.: HLA alleles in isolated populations from North Spain: origin of the Basques and the ancient Iberians. Tissue Anti- gens, 2003; 61(5):384-392. 45. Rendine S., Ferrero N., Sacchi N., Costa C., Pollichieni S., Amo- roso A.: Estimation of human leukocyte antigen class I and class II high-resolution allele and haplotype frequencies in the Italian population and comparison with other European populations. Hum Immunol, 2012; 73(4):399-404. 30. Excoffier L., Laval G., Schneider S.: Arlequin (version 3.0): an integrated software package for population genetics data analysis. Evol Bioinform Online, 2007; 1:47-50. 31. Excoffier L., Slatkin M.: Maximum-likelihood estimation of molecular haplotype frequencies in a diploid population. Mol Biol Evol, 1995; 12(5):921-927. 32. Guo S., Thompson E.: Performing the exact test of Hardy-Wein- berg proportion for multiple alleles. Biometrics, 1992; 48(2):361- 372. 33. Excoffier L., Slatkin M.: Incorporating genotypes of relatives into a test of linkage disequilibrium. Am J Hum Genet, 1998; 62(1):171-80. 34. Schmidt A., Baier D., Solloch U., Stahr A., Cereb N., Wassmuth R., Ehninger G., Rutt C.: Estimation of high-resolution HLA-A, -B, -C, -DRB1 allele and haplotype frequencies based on 8862 German stem cell donors and implications for strategic donor registry plan- ning. Hum Immunol, 2009; 70(11):895-902. 35. Beatty P., Dahlberg S., Mickelson E., Nisperos B., Opelz G., Martin P., Hansen J.: Probability of finding HLA-matched unrelated marrow donors. Transplantation, 1988; 45(4):714-718. 36. Pedron B., Duval M., Elbou O., Moskwa M., Jambou M., Vilmer E., Sterkers G.: Common genomic HLA haplotypes contributing to successful donor search in unrelated hematopoietic transplanta- tion. Bone Marrow Transplant, 2003; 31(6):423-427. 37. Balas A., GarcĂ­a-SĂĄnchez F., Vicario J.: Allelic and haplotypic HLA frequency distribution in Spanish hematopoietic patients. Implications for unrelated donor searching. Tissue Antigens, 2011; 77(1):45-53. 38. SpĂ­nola H., Middleton D., Brehm A.: HLA genes in Portugal inferred from sequence-based typing: in the crossroad between Europe and Africa. Tissue Antigens, 2005; 66(1):26-36. 39. SpĂ­nola H., Brehm A., Bettencourt B., Middleton D., Bruges-