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J Assist Reprod Genet (2014) 31:1227–1230 
DOI 10.1007/s10815-014-0298-9 
GENETICS 
Improved sensitivity to detect recombination using qPCR 
for Dyskeratosis Congenita PGD 
Ndeye-Aicha Gueye & Chaim Jalas & Xin Tao & 
Deanne Taylor & Richard T. Scott Jr. & Nathan R. Treff 
Received: 6 June 2014 /Accepted: 10 July 2014 /Published online: 7 August 2014 
# Springer Science+Business Media New York 2014 
It has been over two decades since the first preimplantation 
genetic diagnosis (PGD) for a monogenic disorder was per-formed 
[1], and methods have evolved to include a wide 
variety of techniques [2].Among the most important advances 
was the incorporation of genotyping of linked informative 
markers near the mutation in order to avoid misdiagnosis from 
a phenomenon known as allele drop out (ADO). ADO occurs 
when two alleles are present, but the PCR-based test only 
detects one of the two, which can result in misdiagnosis of a 
monogenic disorder. However, by evaluating nearby linked 
informative polymorphisms, this type of error can be avoided 
since it is less likely to occur twice in the same test [2, 3]. 
The most common type of polymorphism used as a linked 
marker in the PGD setting is the short tandem repeat (STR). 
One advantage of the STR is that it is often multi-allelic, 
providing a high likelihood of being informative for a given 
family. However, a potential disadvantage is the relatively low 
frequency of STRs throughout the human genome [4, 5]. This 
becomes an important issue as genotypes of markers too far 
away from the mutation could be misinterpreted as a result of 
recombination. Specifically, if recombination occurred 
between the marker and the mutation, the genotypes 
could be misinterpreted as consistent with an ADO 
event at one of the two loci. This is even more of a 
concern when genes near telomeres are evaluated since 
the recombination frequency is considerably higher than 
other regions on the chromosome [6, 7]. 
In contrast to the STR, the single nucleotide polymorphism 
(SNP) is the most common polymorphism in the human 
genome, and therefore more likely to provide a marker within 
1 Mb of the mutation, as recommended by the European 
Society for Human Reproduction and Embryology (ESHRE) 
PGD Consortium [2].We recently reported the use of TaqMan 
PCR based allelic discrimination to genotype embryos for a 
single gene disorder in parallel with comprehensive chromo-some 
screening [8]. This approach provides an opportunity to 
genotype SNPs as informative markers, instead of STRs, 
using a quantitative real time (q)PCR-based approach. This 
case report illustrates the particular advantage of qPCR, by 
identifying STR-based misdiagnoses due to recombination 
near the mutation. 
Methods 
This case involved a couple indicated for PGD since theywere 
both carriers of the R1264H mutation in the Regulator of 
Telomere Length 1 (RTEL1) gene. They discovered their 
carrier status after the birth of their first and only child in 
2009, who was homozygous for themutation and was affected 
with Dyskeratosis Congenita. This disorder affects multiple 
organ systems, and can result in bone marrow failure, aplastic 
anemia, thrombocytopenia, osteoporosis, and liver and pul-monary 
fibrosis [9, 10]. Their daughter had been hospitalized 
since she was 6 months old and passed away at 2 and half 
Electronic supplementary material The online version of this article 
(doi:10.1007/s10815-014-0298-9) contains supplementary material, 
which is available to authorized users. 
N.<A. Gueye : D. Taylor : R. T. Scott Jr. : N. R. Treff 
Department of Obstetrics, Gynecology and Reproductive Sciences, 
Rutgers-Robert Wood Johnson Medical School, 125 Paterson St, 
New Brunswick, NJ 08901, USA 
N.<A. Gueye : X. Tao : D. Taylor : R. T. Scott Jr. : N. R. Treff (*) 
Reproductive Medicine Associates of New Jersey, 140 Allen Road, 
Basking Ridge, NJ 07920, USA 
e-mail: ntreff@rmanj.com 
C. Jalas 
The Foundation for the Assessment and Enhancement of Embryonic 
Competence Inc., Suite 300, 140 Allen Road, Basking Ridge, 
NJ 07920, USA
1228 J Assist Reprod Genet (2014) 31:1227–1230 
years old. The female partner was 29 year old and the male 
partner was a 37 year old at the time of IVF for PGD. 
The couple underwent routine controlled ovarian hyper-stimulation 
through an antagonist protocol with 
intracytoplasmic sperm injection. Of the 46 oocytes retrieved, 
17 made it to the blastocyst stage. Each embryo was biopsied 
twice on day 6. The first biopsy was used to perform compre-hensive 
chromosome screening (CCS) using quantitative real-time 
PCR as previously described [11]. A second biopsy was 
used to diagnose Dyskeratosis Congenita at a reference labo-ratory 
using conventional methods of STR fragment size and 
Sanger sequencing as previously described [12]. After biop-sies 
were performed all the embryos were cryopreserved to 
allow time for the reference laboratory to complete single gene 
disorder (SGD) analysis and provide a report. Upon receipt of 
the SGD report with unusually high rates of ADO and no 
results, the excess DNA from the CCS procedure was used to 
evaluate linked informative SNPs near the mutation, which 
were identified using NspI SNP arrays (Affymetrix Inc., Santa 
Clara, CA) on the couple. Phase was established using 
TaqMan allelic discrimination (Life Technologies Inc., 
Foster City, CA) of the informative SNPs on DNA from the 
couple’s affected daughter. A TaqMan assay was also deve-loped 
to directly test the mutation through allelic discrimina-tion 
in parallel as previously described [13]. The TaqMan 
assays for the linked markers and the mutation were used in 
a multiplex preamplification PCR reaction (Life Technologies 
Inc.) with the excess CCS DNA as template. Individual reac-tions 
with each individual primer set were performed using 
qPCR on the preamplified DNA as previously described [8]. 
Each Taqman assay allele specific probe was labeled with 
either a FAM or VIC dye in order to detect the major and 
minor SNP allele, respectively, and genotypes were designat-ed 
as such in the results tables and figures. 
This study was conducted under IRB approval and with 
patient consent. 
Results 
CCS indicated that 12/17 (70 %) of the embryos were euploid 
and potential candidates for transfer (Table 1). The PGD 
report from the reference laboratory using conventional 
methods of STR and Sanger sequence analysis indicated an 
ADO rate of 8 % (14/170) and a non-diagnosis rate of 18 % 
(3/17), despite having been performed on trophectoderm bi-opsies. 
Given the unusually high rates of ADO and no results, 
analysis of the SGD on the excess DNA from CCS was 
performed using qPCR for allelic discrimination of informa-tive 
SNPs and the mutation. Seven informative SNPs were 
evaluated including 4 between the nearest STRmarker (which 
was 4.8 Mb away from the mutation) and one on the telomeric 
side of the mutation (Fig. 1). In each of the 4 cases that the 
reference laboratory interpreted the mutation analysis as hav-ing 
been affected by ADO, the SNP based methodology 
demonstrated that recombination occurred between the 
nearest STR and the mutation (Supplementary Table 1). This 
led to a reference laboratory misdiagnosis rate of 21 % (3/14), 
including an embryo diagnosed as a carrier that was actually 
affected (Fig. 2). Interestingly, the recombination rate within 
Table 1 Results of CCS, STR, SNP, and recombination analyses in embryos at risk of Dyskeratosis Congenita 
Embryo number CCS STR/sequencing analysis SNP qPCR analysis Recombination 
1 46, XY Carrier Carrier No 
2 46, XY Carriera Normal Yes 
3 46, XX Normal Normal Yes 
4 45, XX,−16 N/Ab Carrier No 
5 46, XX Affected Affected No 
6 46, XX Carrier Carrier Yes 
7 46, XX Affected Affected No 
8 46, XY, +18,−22 Normal Normal Yes 
9 45, XX,−11 Normal Normal No 
10 46, XX Affecteda Carrier Yes 
11 46, XY Normal Normal No 
12 47, XY, +18 Carriera Affected Yes 
13 46, XY Carrier Carrier No 
14 46, XX N/Ab Normal Yes 
15 46, XY Affected Affected No 
16 46, XY N/Ab Carrier Yes 
17 47, XY, +12 Affected Affected Yes 
a Misdiagnosis, bNo result obtained
J Assist Reprod Genet (2014) 31:1227–1230 1229 
the 7.3 Mb of interrogated sequence was 53 % (9/17). 
Fortunately, the patient had 4 embryos which were diagnosed 
as normal by both laboratories, one of which was selected for 
transfer and resulted in an ongoing pregnancy. 
Conclusions 
This case illustrates the particular problem of high rates of 
recombination near the telomeres of human chromosomes 
[14, 7] and the impact it can have when performing PGD with 
linked informative STR markers too far from the mutation. 
The exact recombination rates approaching the telomeric ends 
may not be available or reliable from published studies, and in 
this case the rates of the full region surrounding the gene were 
not. With the use of technologies which rely upon whole 
genome amplification and SNP array based analysis, the sig-nificant 
locus dropout from WGA may also prevent the iden-tification 
of crossovers between the nearest available SNP 
marker and the mutation [15, 16]. In the case presented here, 
a misdiagnosis rate of 21 % was identified as a result of 
excessive STR marker distances, with respect to the mutation 
locus, failing to detect recombination and inappropriately 
Fig. 1 Locations of linked markers surrounding the RTEL1 gene locus 
on chromosome 20 (purple). STRs are shown in red, SNPs are shown in 
blue. Nucleotide positions are based on human genome version 18 
Fig. 2 Results of analysis using each approach for parents, affected child, and misdiagnosed embryos. MT- Mutant; WT- Wild type; ADO- Allele 
dropout
1230 J Assist Reprod Genet (2014) 31:1227–1230 
assuming ADO at the mutation locus. The qPCR approach 
presented here overcomes these potential limitations allowing 
for simultaneous analysis of a large commercially available 
library of linked SNPs near the mutation, the mutation itself, 
and CCS within 4 hour of obtaining the sample for analysis. 
References 
1. Handyside AH, Lesko JG, Tarin JJ, Winston RM, Hughes MR. Birth 
of a normal girl after in vitro fertilization and pre-implantation diag-nostic 
testing for cystic fibrosis. N Engl J Med. 1992;327(13):905–9. 
2. HartonGL, DeRyckeM,FiorentinoF,MoutouC, SenGuptaS, Traeger- 
Synodinos J, et al. ESHRE PGD consortium best practice guidelines for 
amplification-based PGD. Hum Reprod. 2010;26(1):33–40. 
3. Wilton L, Thornhill A, Traeger-Synodinos J, Sermon KD, Harper JC. 
The causes of misdiagnosis and adverse outcomes in PGD. Hum 
Reprod. 2009;24(5):1221–8. 
4. Ellegren H. Microsatellites: simple sequences with complex evolu-tion. 
Nat Rev. 2004;5(6):435–45. 
5. Lander ES, Linton LM, Birren B, Nusbaum C, ZodyMC, Baldwin J, 
et al. Initial sequencing and analysis of the human genome. Nature. 
2001;409(6822):860–921. 
6. Kong A, Frigge ML, Masson G, Besenbacher S, Sulem P, 
Magnusson G, et al. Rate of de novo mutations and the importance 
of father’s age to disease risk. Nature. 2012;488(7412):471–5. 
7. Nachman MW. Variation in recombination rate across the genome: 
evidence and implications. Curr Opin Genet Dev. 2002;12:657–63. 
8. Treff NR, Fedick A, Tao X, Devkota B, Taylor D, Scott Jr RT. 
Evaluation of targeted next-generation sequencing-based pre-implantation 
genetic diagnosis of monogenic disease. Fertil Steril. 
2013;99:1377–84. 
9. Walne AJ, Vulliamy T, Kirwan M, Plagnol V, Dokal I. Constitutional 
mutations in RTEL1 cause severe Dyskeratosis Congenita. Am J 
Hum Genet. 2013;92(3):448–53. 
10. Ballew BJ, Yeager M, Jacobs K, Giri N, Boland J, Burdett L, et al. 
Germline mutations of regulator of telomere elongation helicase 1, 
RTEL1, in Dyskeratosis congenita. Hum Genet. 2013;132(4):473– 
80. 
11. Treff NR, Tao X, Ferry KM, Su J, Taylor D, Scott Jr RT. 
Development and validation of an accurate quantitative real-time 
polymerase chain reaction-based assay for human blastocyst com-prehensive 
chromosomal aneuploidy screening. Fertil Steril. 
2012;97(4):819–24. e2. 
12. Verlinsky Y, Cohen J, Munne S, Gianaroli L, Simpson JL, Ferraretti 
AP, et al. Over a decade of experience with pre-implantation genetic 
diagnosis: a multicenter report. Fertil Steril. 2004;82(2):292–4. 
13. Fedick A, Su J, Jalas C, Northrop L, Devkota B, Ekstein J, et al. 
High-throughput carrier screening using TaqMan allelic discrimina-tion. 
PLoS One. 2013;8(3):1–9. 
14. Kong ATG, Gudbjartsson DF, Masson G, Sigurdsson A, Jonasdottir 
A, Walters GB, et al. Fine-scale recombination rate differences be-tween 
sexes, populations and individuals. Nature. 2010;467:1099– 
103. 
15. Handyside AH, Harton GL, Mariani B, Thornhill AR, Affara 
NA, Shaw MA, et al. Karyomapping: a universal method for 
genome wide analysis of genetic disease based on mapping 
crossovers between parental haplotypes. J Med Genet. 
2010;47(10):651–8. 
16. Renwick P, Trussler J, Lashwood A, Braude P, Ogilvie CM. 
Preimplantation genetic haplotyping: 127 diagnostic cycles 
demonstrating a robust, efficient alternative to direct mutation 
testing on single cells. Reproductive biomedicine online; 
2010.

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  • 1. J Assist Reprod Genet (2014) 31:1227–1230 DOI 10.1007/s10815-014-0298-9 GENETICS Improved sensitivity to detect recombination using qPCR for Dyskeratosis Congenita PGD Ndeye-Aicha Gueye & Chaim Jalas & Xin Tao & Deanne Taylor & Richard T. Scott Jr. & Nathan R. Treff Received: 6 June 2014 /Accepted: 10 July 2014 /Published online: 7 August 2014 # Springer Science+Business Media New York 2014 It has been over two decades since the first preimplantation genetic diagnosis (PGD) for a monogenic disorder was per-formed [1], and methods have evolved to include a wide variety of techniques [2].Among the most important advances was the incorporation of genotyping of linked informative markers near the mutation in order to avoid misdiagnosis from a phenomenon known as allele drop out (ADO). ADO occurs when two alleles are present, but the PCR-based test only detects one of the two, which can result in misdiagnosis of a monogenic disorder. However, by evaluating nearby linked informative polymorphisms, this type of error can be avoided since it is less likely to occur twice in the same test [2, 3]. The most common type of polymorphism used as a linked marker in the PGD setting is the short tandem repeat (STR). One advantage of the STR is that it is often multi-allelic, providing a high likelihood of being informative for a given family. However, a potential disadvantage is the relatively low frequency of STRs throughout the human genome [4, 5]. This becomes an important issue as genotypes of markers too far away from the mutation could be misinterpreted as a result of recombination. Specifically, if recombination occurred between the marker and the mutation, the genotypes could be misinterpreted as consistent with an ADO event at one of the two loci. This is even more of a concern when genes near telomeres are evaluated since the recombination frequency is considerably higher than other regions on the chromosome [6, 7]. In contrast to the STR, the single nucleotide polymorphism (SNP) is the most common polymorphism in the human genome, and therefore more likely to provide a marker within 1 Mb of the mutation, as recommended by the European Society for Human Reproduction and Embryology (ESHRE) PGD Consortium [2].We recently reported the use of TaqMan PCR based allelic discrimination to genotype embryos for a single gene disorder in parallel with comprehensive chromo-some screening [8]. This approach provides an opportunity to genotype SNPs as informative markers, instead of STRs, using a quantitative real time (q)PCR-based approach. This case report illustrates the particular advantage of qPCR, by identifying STR-based misdiagnoses due to recombination near the mutation. Methods This case involved a couple indicated for PGD since theywere both carriers of the R1264H mutation in the Regulator of Telomere Length 1 (RTEL1) gene. They discovered their carrier status after the birth of their first and only child in 2009, who was homozygous for themutation and was affected with Dyskeratosis Congenita. This disorder affects multiple organ systems, and can result in bone marrow failure, aplastic anemia, thrombocytopenia, osteoporosis, and liver and pul-monary fibrosis [9, 10]. Their daughter had been hospitalized since she was 6 months old and passed away at 2 and half Electronic supplementary material The online version of this article (doi:10.1007/s10815-014-0298-9) contains supplementary material, which is available to authorized users. N.<A. Gueye : D. Taylor : R. T. Scott Jr. : N. R. Treff Department of Obstetrics, Gynecology and Reproductive Sciences, Rutgers-Robert Wood Johnson Medical School, 125 Paterson St, New Brunswick, NJ 08901, USA N.<A. Gueye : X. Tao : D. Taylor : R. T. Scott Jr. : N. R. Treff (*) Reproductive Medicine Associates of New Jersey, 140 Allen Road, Basking Ridge, NJ 07920, USA e-mail: ntreff@rmanj.com C. Jalas The Foundation for the Assessment and Enhancement of Embryonic Competence Inc., Suite 300, 140 Allen Road, Basking Ridge, NJ 07920, USA
  • 2. 1228 J Assist Reprod Genet (2014) 31:1227–1230 years old. The female partner was 29 year old and the male partner was a 37 year old at the time of IVF for PGD. The couple underwent routine controlled ovarian hyper-stimulation through an antagonist protocol with intracytoplasmic sperm injection. Of the 46 oocytes retrieved, 17 made it to the blastocyst stage. Each embryo was biopsied twice on day 6. The first biopsy was used to perform compre-hensive chromosome screening (CCS) using quantitative real-time PCR as previously described [11]. A second biopsy was used to diagnose Dyskeratosis Congenita at a reference labo-ratory using conventional methods of STR fragment size and Sanger sequencing as previously described [12]. After biop-sies were performed all the embryos were cryopreserved to allow time for the reference laboratory to complete single gene disorder (SGD) analysis and provide a report. Upon receipt of the SGD report with unusually high rates of ADO and no results, the excess DNA from the CCS procedure was used to evaluate linked informative SNPs near the mutation, which were identified using NspI SNP arrays (Affymetrix Inc., Santa Clara, CA) on the couple. Phase was established using TaqMan allelic discrimination (Life Technologies Inc., Foster City, CA) of the informative SNPs on DNA from the couple’s affected daughter. A TaqMan assay was also deve-loped to directly test the mutation through allelic discrimina-tion in parallel as previously described [13]. The TaqMan assays for the linked markers and the mutation were used in a multiplex preamplification PCR reaction (Life Technologies Inc.) with the excess CCS DNA as template. Individual reac-tions with each individual primer set were performed using qPCR on the preamplified DNA as previously described [8]. Each Taqman assay allele specific probe was labeled with either a FAM or VIC dye in order to detect the major and minor SNP allele, respectively, and genotypes were designat-ed as such in the results tables and figures. This study was conducted under IRB approval and with patient consent. Results CCS indicated that 12/17 (70 %) of the embryos were euploid and potential candidates for transfer (Table 1). The PGD report from the reference laboratory using conventional methods of STR and Sanger sequence analysis indicated an ADO rate of 8 % (14/170) and a non-diagnosis rate of 18 % (3/17), despite having been performed on trophectoderm bi-opsies. Given the unusually high rates of ADO and no results, analysis of the SGD on the excess DNA from CCS was performed using qPCR for allelic discrimination of informa-tive SNPs and the mutation. Seven informative SNPs were evaluated including 4 between the nearest STRmarker (which was 4.8 Mb away from the mutation) and one on the telomeric side of the mutation (Fig. 1). In each of the 4 cases that the reference laboratory interpreted the mutation analysis as hav-ing been affected by ADO, the SNP based methodology demonstrated that recombination occurred between the nearest STR and the mutation (Supplementary Table 1). This led to a reference laboratory misdiagnosis rate of 21 % (3/14), including an embryo diagnosed as a carrier that was actually affected (Fig. 2). Interestingly, the recombination rate within Table 1 Results of CCS, STR, SNP, and recombination analyses in embryos at risk of Dyskeratosis Congenita Embryo number CCS STR/sequencing analysis SNP qPCR analysis Recombination 1 46, XY Carrier Carrier No 2 46, XY Carriera Normal Yes 3 46, XX Normal Normal Yes 4 45, XX,−16 N/Ab Carrier No 5 46, XX Affected Affected No 6 46, XX Carrier Carrier Yes 7 46, XX Affected Affected No 8 46, XY, +18,−22 Normal Normal Yes 9 45, XX,−11 Normal Normal No 10 46, XX Affecteda Carrier Yes 11 46, XY Normal Normal No 12 47, XY, +18 Carriera Affected Yes 13 46, XY Carrier Carrier No 14 46, XX N/Ab Normal Yes 15 46, XY Affected Affected No 16 46, XY N/Ab Carrier Yes 17 47, XY, +12 Affected Affected Yes a Misdiagnosis, bNo result obtained
  • 3. J Assist Reprod Genet (2014) 31:1227–1230 1229 the 7.3 Mb of interrogated sequence was 53 % (9/17). Fortunately, the patient had 4 embryos which were diagnosed as normal by both laboratories, one of which was selected for transfer and resulted in an ongoing pregnancy. Conclusions This case illustrates the particular problem of high rates of recombination near the telomeres of human chromosomes [14, 7] and the impact it can have when performing PGD with linked informative STR markers too far from the mutation. The exact recombination rates approaching the telomeric ends may not be available or reliable from published studies, and in this case the rates of the full region surrounding the gene were not. With the use of technologies which rely upon whole genome amplification and SNP array based analysis, the sig-nificant locus dropout from WGA may also prevent the iden-tification of crossovers between the nearest available SNP marker and the mutation [15, 16]. In the case presented here, a misdiagnosis rate of 21 % was identified as a result of excessive STR marker distances, with respect to the mutation locus, failing to detect recombination and inappropriately Fig. 1 Locations of linked markers surrounding the RTEL1 gene locus on chromosome 20 (purple). STRs are shown in red, SNPs are shown in blue. Nucleotide positions are based on human genome version 18 Fig. 2 Results of analysis using each approach for parents, affected child, and misdiagnosed embryos. MT- Mutant; WT- Wild type; ADO- Allele dropout
  • 4. 1230 J Assist Reprod Genet (2014) 31:1227–1230 assuming ADO at the mutation locus. The qPCR approach presented here overcomes these potential limitations allowing for simultaneous analysis of a large commercially available library of linked SNPs near the mutation, the mutation itself, and CCS within 4 hour of obtaining the sample for analysis. References 1. Handyside AH, Lesko JG, Tarin JJ, Winston RM, Hughes MR. Birth of a normal girl after in vitro fertilization and pre-implantation diag-nostic testing for cystic fibrosis. N Engl J Med. 1992;327(13):905–9. 2. HartonGL, DeRyckeM,FiorentinoF,MoutouC, SenGuptaS, Traeger- Synodinos J, et al. ESHRE PGD consortium best practice guidelines for amplification-based PGD. Hum Reprod. 2010;26(1):33–40. 3. Wilton L, Thornhill A, Traeger-Synodinos J, Sermon KD, Harper JC. The causes of misdiagnosis and adverse outcomes in PGD. Hum Reprod. 2009;24(5):1221–8. 4. Ellegren H. Microsatellites: simple sequences with complex evolu-tion. Nat Rev. 2004;5(6):435–45. 5. Lander ES, Linton LM, Birren B, Nusbaum C, ZodyMC, Baldwin J, et al. Initial sequencing and analysis of the human genome. Nature. 2001;409(6822):860–921. 6. Kong A, Frigge ML, Masson G, Besenbacher S, Sulem P, Magnusson G, et al. Rate of de novo mutations and the importance of father’s age to disease risk. Nature. 2012;488(7412):471–5. 7. Nachman MW. Variation in recombination rate across the genome: evidence and implications. Curr Opin Genet Dev. 2002;12:657–63. 8. Treff NR, Fedick A, Tao X, Devkota B, Taylor D, Scott Jr RT. Evaluation of targeted next-generation sequencing-based pre-implantation genetic diagnosis of monogenic disease. Fertil Steril. 2013;99:1377–84. 9. Walne AJ, Vulliamy T, Kirwan M, Plagnol V, Dokal I. Constitutional mutations in RTEL1 cause severe Dyskeratosis Congenita. Am J Hum Genet. 2013;92(3):448–53. 10. Ballew BJ, Yeager M, Jacobs K, Giri N, Boland J, Burdett L, et al. Germline mutations of regulator of telomere elongation helicase 1, RTEL1, in Dyskeratosis congenita. Hum Genet. 2013;132(4):473– 80. 11. Treff NR, Tao X, Ferry KM, Su J, Taylor D, Scott Jr RT. Development and validation of an accurate quantitative real-time polymerase chain reaction-based assay for human blastocyst com-prehensive chromosomal aneuploidy screening. Fertil Steril. 2012;97(4):819–24. e2. 12. Verlinsky Y, Cohen J, Munne S, Gianaroli L, Simpson JL, Ferraretti AP, et al. Over a decade of experience with pre-implantation genetic diagnosis: a multicenter report. Fertil Steril. 2004;82(2):292–4. 13. Fedick A, Su J, Jalas C, Northrop L, Devkota B, Ekstein J, et al. High-throughput carrier screening using TaqMan allelic discrimina-tion. PLoS One. 2013;8(3):1–9. 14. Kong ATG, Gudbjartsson DF, Masson G, Sigurdsson A, Jonasdottir A, Walters GB, et al. Fine-scale recombination rate differences be-tween sexes, populations and individuals. Nature. 2010;467:1099– 103. 15. Handyside AH, Harton GL, Mariani B, Thornhill AR, Affara NA, Shaw MA, et al. Karyomapping: a universal method for genome wide analysis of genetic disease based on mapping crossovers between parental haplotypes. J Med Genet. 2010;47(10):651–8. 16. Renwick P, Trussler J, Lashwood A, Braude P, Ogilvie CM. Preimplantation genetic haplotyping: 127 diagnostic cycles demonstrating a robust, efficient alternative to direct mutation testing on single cells. Reproductive biomedicine online; 2010.