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SEMINAL CONTRIBUTION 
Development and validation of an 
accurate quantitative real-time 
polymerase chain reaction–based 
assay for human blastocyst 
comprehensive chromosomal 
aneuploidy screening 
Nathan R. Treff, Ph.D.,a,b Xin Tao, M.Sc.,a Kathleen M. Ferry, B.Sc.,a Jing Su, M.Sc.,a Deanne Taylor, Ph.D.,a 
and Richard T. Scott Jr., M.D., H.C.L.D.a,b 
a Reproductive Medicine Associates of New Jersey, Morristown; and b Division of Reproductive Endocrinology, Department of Obstetrics, 
Gynecology, and Reproductive Science, University of Medicine and Dentistry of New Jersey–Robert Wood Johnson Medical School, New 
Brunswick, New Jersey 
Objective: To develop and validate a quantitative real-time polymerase chain reaction (qPCR)–based method for blastocyst trophectoderm 
comprehensive chromosome screening (CCS) of aneuploidy. 
Design: Prospective, randomized, and blinded. 
Setting: Academic center for reproductive medicine. 
Patient(s): Nine cell lines were obtained from a commercial cell line repository, and 71 discarded human blastocysts were obtained from 24 IVF patients 
that underwent preimplantation genetic screening. 
Intervention(s): None. 
Main Outcome Measure(s): Consistency of qPCR diagnosis of aneuploidy compared with either conventional karyotyping of cell lines or microarray-based 
diagnoses of human blastocysts. 
Result(s): Samples from nine cell lines with well characterized karyotypes were diagnosed by qPCR with 97.6% (41/42) consistency. After applying 
a minimum threshold for concurrence, 100% consistency was achieved. Developmentally normal blastocysts designated as aneuploid or arrested blas-tocysts 
designated as euploid by single-nucleotide polymorphism microarray analyses were assigned identical 24 chromosome diagnoses by qPCR in 
98.6% of cases (70/71). Overall euploidy (n ¼ 37) and aneuploidy (n ¼ 34) were assigned with 100% consistency. Data was obtained for both sample 
types in 4 hours. 
Conclusion(s): These data demonstrate the first qPCR technology capable of accurate aneuploidy screening of all 24 chromosomes in 4 hours. This meth-odology 
provides an opportunity to evaluate trophectoderm biopsies with subsequent fresh euploid blastocyst transfer. Randomized controlled trials to 
investigate the clinical efficacy of qPCR-based CCS are currently underway. (Fertil Steril 2012;97:819–24.2012 by American Society for Reproductive 
Medicine.) 
Key Words: Quantitative PCR, real-time PCR, aneuploidy screening, comprehensive chromosome screening 
Development of new compre-hensive 
aneuploidy screening 
methodologies has renewed ef-forts 
to use preimplantation genetic 
analysis to enhance embryo selection, 
increase implantation rates, reduce the 
time to pregnancy, reduce multiple ges-tations, 
and reduce the incidence of 
miscarriage for couples with infertility. 
A variety of methodologies for compre-hensive 
DNA quantificatation exist and 
include the incorporation of array 
comparative genomic hybridization, 
metaphase comparative genomic hy-bridization, 
and single-nucleotide 
polymorphism (SNP) microarray tech-nologies 
(1). In addition to variations 
in the array-based methods of probing 
preimplantation-stage DNA, a variety 
of methods exist for the initial whole 
genome amplification and have been 
shown to provide variable accuracy 
for aneuploidy screening and genotyp-ing 
applications (2). The stage of devel-opment 
at which to perform aneuploidy 
screening also varies, including polar 
Received November 30, 2011; revised January 4, 2012; accepted January 24, 2012; published online 
February 18, 2012. 
N.R.T. has nothing to disclose. X.T. has nothing to disclose. K.M.F. has nothing to disclose. J.S. has noth-ing 
to disclose. D.T. has nothing to disclose. R.T.S. has nothing to disclose. 
Reprint requests: Nathan R. Treff, Ph.D., 111 Madison Ave, Suite 100, Morristown, New Jersey 07960 
(E-mail: ntreff@rmanj.com). 
Fertility and Sterility® Vol. 97, No. 4, April 2012 0015-0282/$36.00 
Copyright ©2012 American Society for Reproductive Medicine, Published by Elsevier Inc. 
doi:10.1016/j.fertnstert.2012.01.115 
VOL. 97 NO. 4 / APRIL 2012 819
SEMINAL CONTRIBUTION 
bodies from the oocyte and zygote, blastomeres from the 
cleavage-stage embryo, and trophectoderm from the blasto-cyst 
(3). Although there are advantages and disadvantages 
to each of these components of aneuploidy screening, the 
amount of time required to perform comprehensive chromo-some 
screening (CCS) by any of these methodologies typically 
exceeds 12 hours. Although this is less critical when applied to 
polar bodies or blastomeres, analysis of aneuploidy in the tro-phectoderm 
would likely require cryopreservation of the blas-tocyst 
to provide sufficient time for analysis while also 
preserving the appropriate synchrony between embryo and 
endometrial development (4). Although methods of blastocyst 
cryopreservation have improved, some risk remains, and 
many patients prefer to avoid the additional expense and 
time associated with a frozen embryo transfer cycle. To rou-tinely 
perform comprehensive aneuploidy screening of the 
blastocyst without cryopreservation, more rapid methodolo-gies 
need to be developed. 
Indeed, a more rapid method of preimplantation-stage 
DNA analysis, polymerase chain reaction (PCR), has been in 
clinical practice to manage patients with risk of transmitting 
monogenic disorders for20 years (5). However, the ability to 
reliably diagnose aneuploidy of all 24 chromosomes with the 
use of PCR has not been established. Because of the initial 
success with PCR-based preimplantation genetic diagnosis 
(PGD), many improvements in the application of PCR have 
been made, including the incorporation of multiplexing, nest-ing, 
and fluorescence detection (6). Particularly noteworthy is 
the development of quantitative real-time PCR (qPCR) (7). Al-though 
qPCR has typically been applied to gene expression 
studies where relative transcript quantities are determined, 
there is also potential to evaluate the quantity of DNA in 
a given sample (8). Nevertheless, the ability of qPCR to quan-tify 
chromosomes in limited numbers of cells has yet to be 
demonstrated. The present study characterizes the accuracy 
of a novel method of 24 chromosome quantificatation in lim-ited 
starting material as a preclinical step toward the applica-tion 
of a rapid CCS method in the diagnosis of human 
embryonic aneuploidy at the blastocyst stage of development. 
MATERIALS AND METHODS 
Experimental Design 
This study was conducted in two phases with emphasis on eval-uating 
the technical variation of qPCR-based 24-chromosome 
copy number assignments by avoiding analysis of samples 
with potential biologic variation. In phase I, only cell lines 
with little to no evidence of mosaicism (biologic variation) 
for the previously well characterized whole-chromosome aneu-ploidies 
were used. In a similar attempt to avoid the impact of 
mosaicism in embryos in phase 2, only blastocysts with two 
consistent SNP microarray–based diagnoses were reevaluated 
by qPCR. Randomized and blinded evaluation of consistency 
of qPCR with cell line karyotypes and embryo SNP microarray 
diagnoses were used as a measure of accuracy. 
Phase 1: Cell Lines 
Nine established and stable cell lines (fibroblasts and lympho-cytes) 
were purchased from the Coriell Cell Repository (Cam-den, 
NJ) and cultured as recommended by the supplier. 
Included were GM09286 (47,XY,þ9), GM02948 (47,XY,þ13), 
GM04610 (47,XX,þ8[75]/46,XX,þ8,dic(14;21)(14qter  14p 
13::21p13  21qter)[25]), GM04435 (48,XY,þ16,þ21[45]/ 
47,XY,þ21[5]), GM00323 (46,XY), AG16777 (47,XX,þ21 
[21]/47,XX,þ21,t(21;22)(q22;q13)[29]), AG16778 (46,XX), 
AG16782 (46,XY), and GM01454 (47,XY,þ12[48]/47,XY, 
þ12,add(13)(q34)[52]). Earlier studies have indicated that the 
typical trophectoderm biopsy contains about five cells (9). To 
model this in evaluating cell lines, 5-cell samples were prepared 
by placement offive individual cells into a PCRtube under a dis-secting 
microscope, as previously described (10). Lymphocyte 
lines were prepared directly and fibroblast lines after trypsin 
EDTA treatment. Seven 5-cell samples from cell line 
GM00323 were used to serve as a reference dataset to interpret 
results from 42 randomized and blinded 5-cell test samples 
(GM00323, n ¼ 10; GM09286, n ¼ 4; AG16777, n ¼ 5; 
AG16778, n ¼ 3; AG16782; n ¼ 3; GM01454, n ¼ 5; 
GM02948, n ¼ 5; GM04610, n ¼ 5; and GM04435, n ¼ 2), as 
described subsequently. Randomization was performed using 
Microsoft Excel to avoid potential bias fromsequential analysis 
ofmultiple samples fromthe same cell line. The identification of 
the origins of each samplewas blinded by using decoded sample 
names created in Microsoft Excel. The amount of time to com-plete 
the procedure was recorded for each sample. 
Phase 2: Embryos 
Seventy-one embryos were included in this study. All em-bryos 
had two consistent SNP microarray–based aneuploidy 
screening results of trophectoderm biopsies (from days 5 
and 6), as previously described (9, 11, 12). Thirty-seven of 
the 71 embryos included in this study had arrested by day 6 
and were subsequently found to be euploid by SNP microar-ray 
analysis. The remaining 34, despite developmental nor-malcy 
on day 6, were found to possess aneuploidy by SNP 
microarray analysis. A third biopsy of each of the 71 day 6 
embryos was randomized, blinded, and evaluated by qPCR 
with the same seven 5-cell reference sample set used in the 
cell line study described above. Again, randomization and 
blinding was performed in Microsoft Excel to avoid interpre-tation 
bias. The amount of time to complete the procedure was 
recorded for each embryo. 
qPCR 
Cell line 5-cell samples and embryo biopsies were processed by 
alkaline lysis as previously described (13). Multiplex amplifi-cation 
of 96 loci (four for each chromosome, as previously de-scribed 
[14]) was performed with the use of TaqMan Copy 
Number Assays and TaqMan Preamplification Master Mix as 
recommended by the supplier (Applied Biosystems), and in 
a 50-mL reaction volume for 18 cycles using an Applied Bio-systems 
2720 thermocycler. Real-time PCR was performed in 
quadruplicate for each of the individual 96 loci using TaqMan 
Gene Expression Master Mix (Applied Biosystems), a 5-mL 
reaction volume, a 384-well plate, and a 7900 HT sequence 
detection system, as recommended by the supplier (Applied 
Biosystems). A unique method of the standard delta delta 
threshold cycle (ΔΔCt) method of relative quantitation (15) 
820 VOL. 97 NO. 4 / APRIL 2012
was applied. First, a chromosome-specific ΔCt was calculated 
from the average Ct of the 16 reactions targeting a specific 
chromosome (four replicates of four loci) minus the average 
Ct of all of the 336 reactions targeting all of the remaining au-tosomes 
(four replicates of four loci of 21 remaining auto-somes). 
The same process was used to individually determine 
the ΔCt for each of the 24 chromosomes in the test sample. 
Each chromosome-specific ΔCT was then normalized to the 
average chromosome specific ΔCt values derived from the 
same evaluation of seven normal male (GM00323) 5-cell sam-ples 
(reference set). The resulting chromosome-specific ΔΔCt 
values were used to calculate fold change by considering the 
ΔΔCt values as the negative exponent of 2, as previously de-scribed 
(15). All autosome fold changes were then multiplied 
by 2, whereas the sex chromosome fold changes were used 
as is, to determine the 24-chromosome copy number in each 
sample. This methodology was designed to specifically iden-tify 
whole-chromosome but not segmental aneuploidy. 
Statistics 
Sample specific concurrence. To evaluate the utility of 
a previously established strategy for identifying poor-quality 
data independent of knowing its accuracy (12), the 
overall concurrence was calculated for each sample. In this 
analysis, it is first assumed that the qPCR assay can assess 
only whole-chromosome aneuploidy, such that the four 
copy number assignments within each chromosome should 
always agree. Therefore, the standard deviation of the four 
measurements of copy number for each chromosome was cal-culated. 
The standard deviations of each of the 24 chromo-somes 
were then averaged for each sample. Outliers 
(nonconcurrent samples) were defined as samples found out-side 
an interquartile range of 1.5 from the overall distribution 
of average sample-specific standard deviations for each sam-ple 
type as determined with the use of Analyse-It software for 
Microsoft Excel. Means and variations of the rates of concur-rence 
in cell lines and embryos were evaluated for signifi-cance 
with a Student t test and an F test, respectively. 
Consistency of diagnosis. Consistency of the cell line 5-cell 
samples’ qPCR-based 24-chromosome copy number predic-tions 
with the cell lines’ karyotype (previously established 
by the Coriell Cell Repository by conventional karyotyping) 
was evaluated at the level of individual chromosome copy 
numbers and for the entire 24 chromosomes of each sample 
tested. Consistency of embryo qPCR-based 24-chromosome 
copy number assignments with previously established SNP 
microarray–based diagnoses was also evaluated at the level 
of individual chromosome copy numbers for the entire 24 
chromosomes of each sample tested and for the overall diag-nosis 
of aneuploidy or euploidy. Results were evaluated with 
and without the application of a threshold of concurrence as 
described above. 
RESULTS 
Phase 1: Cell Lines 
Forty-two randomized blinded samples were evaluated for 
24-chromosome copy number and compared for consistency 
FIGURE 1 
Fertility and Sterility® 
Examples of qPCR-based 24-chromosome copy number results from 
5-cell samples derived from nine cell lines with previously well 
characterized karyotypes. 
Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 
with the cell lines’ karyotype previously determined by con-ventional 
g-banding at the commercial provider’s laboratory. 
Examples of qPCR results for 5-cell samples from the cell lines 
are shown in Figure 1. One of the samples (GM00323; 46,XY) 
produced a false positive trisomy 18, giving an overall consis-tency 
of chromosome copy number assignment of 99.90% 
(1,007/1,008) and an overall 24-chromosome diagnosis con-sistency 
of 97.6% (41/42). There were no false negative 
VOL. 97 NO. 4 / APRIL 2012 821
SEMINAL CONTRIBUTION 
diagnoses for aneuploid chromosomes or inaccurate predic-tions 
of gender. Analysis of concurrence identified the only 
discordant cell line sample as the only outlier (i.e., nonconcur-rent; 
Fig. 2). Therefore, by applying a threshold of concur-rence, 
the cell line study resulted in 97.6% reliability of 
obtaining a diagnosis and a 100% level of consistency of 
chromosome-specific (n ¼ 984) and 24-chromosome copy 
number (n ¼ 41) assignments. The amount of time taken to 
complete the procedure for each sample was 4 hours. 
Phase 2: Embryos 
Seventy-one embryos with consistent SNP microarray–based 
24 chromosome aneuploidy screening results from 2 biopsies 
were rebiopsied, randomized, and blinded for analysis of con-sistency 
of qPCR-based diagnoses. These were selected to re-duce 
the risk of mosaicism. Examples of embryo biopsy qPCR 
results are shown in Figure 3, and the details of karyotype pre-dictions 
are included in Supplemental Table 1 (available on-line 
at www.fertstert.org). In one embryo, consistently 
diagnosed as 45,XY,13,14,þ18 by SNP microarray analy-sis 
of two biopsies, qPCR failed to detect monosomy 14. All of 
the remaining chromosomes for all of the remaining samples 
were consistent between qPCR and microarray, giving an 
overall chromosome-specific consistency of 99.94% (1,703/ 
1,704) and an overall 24-chromosome diagnosis consistency 
of 98.6% (70/71). There were no false positive aneuploid chro-mosomes 
observed or inaccurate predictions of sex. The over-all 
rate of concurrence in cell lines from phase 1 was 
equivalent to the rate of concurrence in embryos in phase 2 
(P¼.96). The variation in concurrence rates within cell lines 
and embryos was also equivalent (P¼.34). Analysis of con-currence 
identified only one embryo sample as an outlier 
(i.e., nonconcurrent; Fig. 2). However, this was not the sample 
with the false negative monosomy 14, and therefore the 
consistency of the embryo results was the same with or with-out 
applying a threshold for concurrence. Because the only 
false negative aneuploidy diagnosis occurred in an embryo 
with other consistently diagnosed aneuploidies (monosomy 
13 and trisomy 18), the overall qPCR-based diagnosis of 
aneuploidy or euploidy was 100% consistent with SNP 
FIGURE 2 
Box-whisker plots representing the distribution of average 24- 
chromosome four-loci copy number standard deviations for each of 
the 42 cell line samples and 71 blastocyst biopsies. For each sample 
type, one outlier was identified, including the only cell line sample 
with an inconsistent qPCR diagnosis. 
Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 
FIGURE 3 
Examples of (gray) single-nucleotide polymorphism microarray– and 
(white) qPCR-based 24-chromosome copy number results from 
blastocyst-stage embryo biopsies. 
Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 
822 VOL. 97 NO. 4 / APRIL 2012
microarray based predictions. The amount of time taken to 
complete the procedure for each sample was 4 hours. 
DISCUSSION 
Results of the present study have demonstrated the validity of 
a new 4-hour method for CCS in human blastocysts. The tech-nical 
accuracy was measured in two phases. The first phase 
involved the use of cell lines with previously well character-ized 
karyotypes. Although it is possible for biologic variation 
of cell line karyotypes to exist as a result of extended culture 
(16, 17) or from unidentified low-level mosaicism in the orig-inal 
sample used to create the cell line, the potential impact of 
these biologic artifacts can be avoided by the use of early pas-sages 
of cell lines that show little to no evidence of mosaicism 
by conventional karyotyping. With this strategy we demon-strated 
a consistency of qPCR-based CCS of concurrent 
5-cell samples of 100%. 
To evaluate a more relevant tissue type, the second phase 
of the study involved the evaluation of discarded human em-bryos. 
Because the presence of mosaicism in embryos as a re-sult 
of postzygotic mitotic aneuploidy development 
represents a well documented phenomenon that could con-tribute 
to biologic variation in blastocysts (11, 18), we 
selected embryos which specifically demonstrated 
consistent SNP microarray diagnoses from 2 biopsies. This 
approach may help reduce the impact of mosaicism and 
biologic variation on evaluating the technical accuracy of 
new methods such as qPCR. Indeed, analysis of these well 
controlled blastocysts by qPCR demonstrated 98.6% 24- 
chromosome consistency with the highly validated method 
of SNP microarray–based aneuploidy screening (12). Impor-tantly, 
all SNP microarray–based euploid embryos were diag-nosed 
as euploid and all SNP microarray–based aneuploid 
embryos as aneuploid by qPCR (100% laboratory diagnostic 
consistency). Furthermore, because trophectoderm biopsies 
may not all possess five cells as modeled in phase I, the results 
of evaluating actual trophectoderm biopsies in phase II pro-vides 
additional evidence of validity to samples with variable 
and potentially fewer numbers of cells. 
Another important observation regarding the perfor-mance 
of this qPCR methodology was the equivalent levels 
of concurrence measured in cell lines and embryos (Fig. 2). 
It has been suggested that PGD-based assays typically per-form 
differently on different cell types (i.e., lymphocytes, fi-broblasts, 
and embryonic cells) (19). Given the high degree 
of similarity in performance between cell lines and embryos 
in the present study, qPCR-based aneuploidy screening ap-pears 
to be a robust methodology independent of the cell 
type. This may be in part due to the use of locus-specific mul-tiplex 
PCR rather than whole-genome amplification for the 
initial processing of the sample. It is also possible that the 
use of trophectoderm biopsies, which may possess more 
than five cells, provided an advantage compared with the 
use of five lymphocytes or fibroblasts for providing consistent 
copy number assignments across each chromosome. The same 
advantage might be expected when comparing concurrence 
of trophectoderm with either blastomeres or polar bodies 
where less template DNA is present. Although this method 
Fertility and Sterility® 
was not applied to blastomeres or polar bodies (single cells), 
it is theoretically possible. In addition, this methodology 
could also be applicable to evaluating segmental aneuploidies 
associated with inheritance of unbalanced translocations by 
simply adding specific assays targeting positions on either 
side of the breakpoints of the chromosomes involved. Finally, 
one important challenge that should be considered is the need 
to process multiple embryos in parallel. Although this cer-tainly 
involves an additional expense (a limitation on its 
own), the procurement of multiple thermal cyclers and the 
use of standard laboratory automation solutions can be used 
to completely circumvent this challenge. 
In conclusion, with these measures of accuracy in place 
and the fact that this protocol can be accomplished within 4 
hours of receiving a biopsy, this qPCR-based methodology 
provides the first opportunity for same-day trophectoderm bi-opsy 
24-chromosome aneuploidy screening and fresh blasto-cyst 
transfer. Given the level of consistency with an 
established method of aneuploidy screening that has also 
demonstrated excellent predictive value for clinical outcome 
(20), this qPCR method can now be justifiably evaluated for 
clinical efficacy in a randomized controlled trial (RCT). In-deed, 
preliminary RCT results of 24-chromosome aneuploidy 
screening with qPCR on trophectoderm biopsies and subse-quent 
fresh euploid blastocyst transfer indicate a significant 
increase in the success of IVF (21). 
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technique impacts the accuracy of SNP microarray-based geno-typing 
and copy number analyses. Mol Hum Reprod 2011;17:335–43. 
3. Delhanty JD. Is the polar body approach best for pre-implantation genetic 
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824 VOL. 97 NO. 4 / APRIL 2012
SUPPLEMENTAL TABLE 1 
Fertility and Sterility® 
Results of SNP microarray and randomized blinded qPCR analysis of 24-chromosome aneuploidy screening in 71 blastocysts. 
Patient no. Embryo no. SNP microarray result 1 SNP microarray result 2 qPCR result 
1 1 46,XY 46,XY 46,XY 
1 2 45,XX,8 45,XX,8 45,XX,8 
2 3 46,XX 46,XX 46,XX 
2 4 46,XY 46,XY 46,XY 
2 5 45,XX,3 45,XX,3 45,XX,3 
2 6 46,XY 46,XY 46,XY 
2 7 46,XX 46,XX 46,XX 
2 8 46,XY 46,XY 46,XY 
2 9 46,XX 46,XX 46,XX 
3 10 47,XX,þ14 47,XX,þ14 47,XX,þ14 
3 11 44,XX,16,17 44,XX,16,17 44,XX,16,17 
4 12 46,XX 46,XX 46,XX 
5 13 46,XX,þ11,17 46,XX,þ11,17 46,XX,þ11,17 
6 14 47,XY,þ16 47,XY,þ16 47,XY,þ16 
6 15 46,XX 46,XX 46,XX 
6 16 45,XX,10 45,XX,10 45,XX,10 
6 17 46,XX 46,XX 46,XX 
6 18 47,XY,þ15 47,XY,þ15 47,XY,þ15 
7 19 45,XY,9 45,XY,9 45,XY,9 
8 20 47,XX,þ13 47,XX,þ13 47,XX,þ13 
9 21 46,XX 46,XX 46,XX 
9 22 46,XX 46,XX 46,XX 
10 23 46,XY 46,XY 46,XY 
10 24 44,XX,9,22 44,XX,9,22 44,XX,9,22 
10 25 45,XY,7 45,XY,7 45,XY,7 
10 26 47,XX,þ22 47,XX,þ22 47,XX,þ22 
10 27 46,XY 46,XY 46,XY 
10 28 45,XY,16 45,XY,16 45,XY,16 
10 29 47,XX,þ2,15,þ19 47,XX,þ2,15,þ19 47,XX,þ2,15,þ19 
10 30 46,XX 46,XX 46,XX 
10 31 45,XX,15 45,XX,15 45,XX,15 
10 32 45,OY 45,OY 45,OY 
11 33 47,XY,þ1 47,XY,þ1 47,XY,þ1 
12 34 46,XY 46,XY 46,XY 
13 35 45,XX,14 45,XX,14 45,XX,14 
13 36 44,XY,21,22 44,XY,21,22 44,XY,21,22 
13 37 46,XY 46,XY 46,XY 
13 38 45,XX,15,þ16,22 45,XX,15,þ16,22 45,XX,15,þ16,22 
13 39 46,XX 46,XX 46,XX 
14 40 46,XY 46,XY 46,XY 
14 41 46,XX 46,XX 46,XX 
14 42 46,XY 46,XY 46,XY 
14 43 46,XY 46,XY 46,XY 
14 44 46,XY 46,XY 46,XY 
14 45 46,XX 46,XX 46,XX 
15 46 47,XX,þ7 47,XX,þ7 47,XX,þ7 
16 47 46,XX 46,XX 46,XX 
16 48 43,XX,4,16,22 43,XX,4,16,22 43,XX,4,16,22 
16 49 46,XY 46,XY 46,XY 
16 50 45,XY,16 45,XY,16 45,XY,16 
16 51 47,XX,þ9 47,XX,þ9 47,XX,þ9 
16 52 45,XY,þ7,10,22 45,XY,þ7,10,22 45,XY,þ7,10,22 
16 53 49,XX,1,þ6,þ7,þ9,þ17 49,XX,1,þ6,þ7,þ9,þ17 49,XX,1,þ6,þ7,þ9,þ17 
16 54 47,XX,þ16 47,XX,þ16 47,XX,þ16 
16 55 45,XY,13,14,þ18 45,XY,13,14,þ18 46,XY,13,þ18a 
16 56 46,XX 46,XX 46,XX 
16 57 45,XY,6,þ19,21 45,XY,6,þ19,21 45,XY,6,þ19,21 
17 58 48,XY,þ18,þ22 48,XY,þ18,þ22 48,XY,þ18,þ22 
18 59 47,XY,þ20 47,XY,þ20 47,XY,þ20 
19 60 45,XX,16 45,XX,16 45,XX,16 
20 61 45,XY,12 45,XY,12 45,XY,12 
21 62 46,XY 46,XY 46,XY 
21 63 46,XX 46,XX 46,XX 
22 64 46,XY 46,XY 46,XY 
23 65 46,XY 46,XY 46,XY 
24 66 46,XX 46,XX 46,XX 
24 67 46,XY 46,XY 46,XY 
Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 
VOL. 97 NO. 4 / APRIL 2012 824.e1
SEMINAL CONTRIBUTION 
SUPPLEMENTAL TABLE 1 
Continued. 
Patient no. Embryo no. SNP microarray result 1 SNP microarray result 2 qPCR result 
24 68 46,XX 46,XX 46,XX 
24 69 46,XX 46,XX 46,XX 
24 70 46,XX 46,XX 46,XX 
24 71 46,XY 46,XY 46,XY 
a Inconsistent qPCR result. 
Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 
824.e2 VOL. 97 NO. 4 / APRIL 2012

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Development and validation of an accurate quantitative real time polymerase chain reaction-based assay for human blastocyst comprehensive chromosoma

  • 1. SEMINAL CONTRIBUTION Development and validation of an accurate quantitative real-time polymerase chain reaction–based assay for human blastocyst comprehensive chromosomal aneuploidy screening Nathan R. Treff, Ph.D.,a,b Xin Tao, M.Sc.,a Kathleen M. Ferry, B.Sc.,a Jing Su, M.Sc.,a Deanne Taylor, Ph.D.,a and Richard T. Scott Jr., M.D., H.C.L.D.a,b a Reproductive Medicine Associates of New Jersey, Morristown; and b Division of Reproductive Endocrinology, Department of Obstetrics, Gynecology, and Reproductive Science, University of Medicine and Dentistry of New Jersey–Robert Wood Johnson Medical School, New Brunswick, New Jersey Objective: To develop and validate a quantitative real-time polymerase chain reaction (qPCR)–based method for blastocyst trophectoderm comprehensive chromosome screening (CCS) of aneuploidy. Design: Prospective, randomized, and blinded. Setting: Academic center for reproductive medicine. Patient(s): Nine cell lines were obtained from a commercial cell line repository, and 71 discarded human blastocysts were obtained from 24 IVF patients that underwent preimplantation genetic screening. Intervention(s): None. Main Outcome Measure(s): Consistency of qPCR diagnosis of aneuploidy compared with either conventional karyotyping of cell lines or microarray-based diagnoses of human blastocysts. Result(s): Samples from nine cell lines with well characterized karyotypes were diagnosed by qPCR with 97.6% (41/42) consistency. After applying a minimum threshold for concurrence, 100% consistency was achieved. Developmentally normal blastocysts designated as aneuploid or arrested blas-tocysts designated as euploid by single-nucleotide polymorphism microarray analyses were assigned identical 24 chromosome diagnoses by qPCR in 98.6% of cases (70/71). Overall euploidy (n ¼ 37) and aneuploidy (n ¼ 34) were assigned with 100% consistency. Data was obtained for both sample types in 4 hours. Conclusion(s): These data demonstrate the first qPCR technology capable of accurate aneuploidy screening of all 24 chromosomes in 4 hours. This meth-odology provides an opportunity to evaluate trophectoderm biopsies with subsequent fresh euploid blastocyst transfer. Randomized controlled trials to investigate the clinical efficacy of qPCR-based CCS are currently underway. (Fertil Steril 2012;97:819–24.2012 by American Society for Reproductive Medicine.) Key Words: Quantitative PCR, real-time PCR, aneuploidy screening, comprehensive chromosome screening Development of new compre-hensive aneuploidy screening methodologies has renewed ef-forts to use preimplantation genetic analysis to enhance embryo selection, increase implantation rates, reduce the time to pregnancy, reduce multiple ges-tations, and reduce the incidence of miscarriage for couples with infertility. A variety of methodologies for compre-hensive DNA quantificatation exist and include the incorporation of array comparative genomic hybridization, metaphase comparative genomic hy-bridization, and single-nucleotide polymorphism (SNP) microarray tech-nologies (1). In addition to variations in the array-based methods of probing preimplantation-stage DNA, a variety of methods exist for the initial whole genome amplification and have been shown to provide variable accuracy for aneuploidy screening and genotyp-ing applications (2). The stage of devel-opment at which to perform aneuploidy screening also varies, including polar Received November 30, 2011; revised January 4, 2012; accepted January 24, 2012; published online February 18, 2012. N.R.T. has nothing to disclose. X.T. has nothing to disclose. K.M.F. has nothing to disclose. J.S. has noth-ing to disclose. D.T. has nothing to disclose. R.T.S. has nothing to disclose. Reprint requests: Nathan R. Treff, Ph.D., 111 Madison Ave, Suite 100, Morristown, New Jersey 07960 (E-mail: ntreff@rmanj.com). Fertility and Sterility® Vol. 97, No. 4, April 2012 0015-0282/$36.00 Copyright ©2012 American Society for Reproductive Medicine, Published by Elsevier Inc. doi:10.1016/j.fertnstert.2012.01.115 VOL. 97 NO. 4 / APRIL 2012 819
  • 2. SEMINAL CONTRIBUTION bodies from the oocyte and zygote, blastomeres from the cleavage-stage embryo, and trophectoderm from the blasto-cyst (3). Although there are advantages and disadvantages to each of these components of aneuploidy screening, the amount of time required to perform comprehensive chromo-some screening (CCS) by any of these methodologies typically exceeds 12 hours. Although this is less critical when applied to polar bodies or blastomeres, analysis of aneuploidy in the tro-phectoderm would likely require cryopreservation of the blas-tocyst to provide sufficient time for analysis while also preserving the appropriate synchrony between embryo and endometrial development (4). Although methods of blastocyst cryopreservation have improved, some risk remains, and many patients prefer to avoid the additional expense and time associated with a frozen embryo transfer cycle. To rou-tinely perform comprehensive aneuploidy screening of the blastocyst without cryopreservation, more rapid methodolo-gies need to be developed. Indeed, a more rapid method of preimplantation-stage DNA analysis, polymerase chain reaction (PCR), has been in clinical practice to manage patients with risk of transmitting monogenic disorders for20 years (5). However, the ability to reliably diagnose aneuploidy of all 24 chromosomes with the use of PCR has not been established. Because of the initial success with PCR-based preimplantation genetic diagnosis (PGD), many improvements in the application of PCR have been made, including the incorporation of multiplexing, nest-ing, and fluorescence detection (6). Particularly noteworthy is the development of quantitative real-time PCR (qPCR) (7). Al-though qPCR has typically been applied to gene expression studies where relative transcript quantities are determined, there is also potential to evaluate the quantity of DNA in a given sample (8). Nevertheless, the ability of qPCR to quan-tify chromosomes in limited numbers of cells has yet to be demonstrated. The present study characterizes the accuracy of a novel method of 24 chromosome quantificatation in lim-ited starting material as a preclinical step toward the applica-tion of a rapid CCS method in the diagnosis of human embryonic aneuploidy at the blastocyst stage of development. MATERIALS AND METHODS Experimental Design This study was conducted in two phases with emphasis on eval-uating the technical variation of qPCR-based 24-chromosome copy number assignments by avoiding analysis of samples with potential biologic variation. In phase I, only cell lines with little to no evidence of mosaicism (biologic variation) for the previously well characterized whole-chromosome aneu-ploidies were used. In a similar attempt to avoid the impact of mosaicism in embryos in phase 2, only blastocysts with two consistent SNP microarray–based diagnoses were reevaluated by qPCR. Randomized and blinded evaluation of consistency of qPCR with cell line karyotypes and embryo SNP microarray diagnoses were used as a measure of accuracy. Phase 1: Cell Lines Nine established and stable cell lines (fibroblasts and lympho-cytes) were purchased from the Coriell Cell Repository (Cam-den, NJ) and cultured as recommended by the supplier. Included were GM09286 (47,XY,þ9), GM02948 (47,XY,þ13), GM04610 (47,XX,þ8[75]/46,XX,þ8,dic(14;21)(14qter 14p 13::21p13 21qter)[25]), GM04435 (48,XY,þ16,þ21[45]/ 47,XY,þ21[5]), GM00323 (46,XY), AG16777 (47,XX,þ21 [21]/47,XX,þ21,t(21;22)(q22;q13)[29]), AG16778 (46,XX), AG16782 (46,XY), and GM01454 (47,XY,þ12[48]/47,XY, þ12,add(13)(q34)[52]). Earlier studies have indicated that the typical trophectoderm biopsy contains about five cells (9). To model this in evaluating cell lines, 5-cell samples were prepared by placement offive individual cells into a PCRtube under a dis-secting microscope, as previously described (10). Lymphocyte lines were prepared directly and fibroblast lines after trypsin EDTA treatment. Seven 5-cell samples from cell line GM00323 were used to serve as a reference dataset to interpret results from 42 randomized and blinded 5-cell test samples (GM00323, n ¼ 10; GM09286, n ¼ 4; AG16777, n ¼ 5; AG16778, n ¼ 3; AG16782; n ¼ 3; GM01454, n ¼ 5; GM02948, n ¼ 5; GM04610, n ¼ 5; and GM04435, n ¼ 2), as described subsequently. Randomization was performed using Microsoft Excel to avoid potential bias fromsequential analysis ofmultiple samples fromthe same cell line. The identification of the origins of each samplewas blinded by using decoded sample names created in Microsoft Excel. The amount of time to com-plete the procedure was recorded for each sample. Phase 2: Embryos Seventy-one embryos were included in this study. All em-bryos had two consistent SNP microarray–based aneuploidy screening results of trophectoderm biopsies (from days 5 and 6), as previously described (9, 11, 12). Thirty-seven of the 71 embryos included in this study had arrested by day 6 and were subsequently found to be euploid by SNP microar-ray analysis. The remaining 34, despite developmental nor-malcy on day 6, were found to possess aneuploidy by SNP microarray analysis. A third biopsy of each of the 71 day 6 embryos was randomized, blinded, and evaluated by qPCR with the same seven 5-cell reference sample set used in the cell line study described above. Again, randomization and blinding was performed in Microsoft Excel to avoid interpre-tation bias. The amount of time to complete the procedure was recorded for each embryo. qPCR Cell line 5-cell samples and embryo biopsies were processed by alkaline lysis as previously described (13). Multiplex amplifi-cation of 96 loci (four for each chromosome, as previously de-scribed [14]) was performed with the use of TaqMan Copy Number Assays and TaqMan Preamplification Master Mix as recommended by the supplier (Applied Biosystems), and in a 50-mL reaction volume for 18 cycles using an Applied Bio-systems 2720 thermocycler. Real-time PCR was performed in quadruplicate for each of the individual 96 loci using TaqMan Gene Expression Master Mix (Applied Biosystems), a 5-mL reaction volume, a 384-well plate, and a 7900 HT sequence detection system, as recommended by the supplier (Applied Biosystems). A unique method of the standard delta delta threshold cycle (ΔΔCt) method of relative quantitation (15) 820 VOL. 97 NO. 4 / APRIL 2012
  • 3. was applied. First, a chromosome-specific ΔCt was calculated from the average Ct of the 16 reactions targeting a specific chromosome (four replicates of four loci) minus the average Ct of all of the 336 reactions targeting all of the remaining au-tosomes (four replicates of four loci of 21 remaining auto-somes). The same process was used to individually determine the ΔCt for each of the 24 chromosomes in the test sample. Each chromosome-specific ΔCT was then normalized to the average chromosome specific ΔCt values derived from the same evaluation of seven normal male (GM00323) 5-cell sam-ples (reference set). The resulting chromosome-specific ΔΔCt values were used to calculate fold change by considering the ΔΔCt values as the negative exponent of 2, as previously de-scribed (15). All autosome fold changes were then multiplied by 2, whereas the sex chromosome fold changes were used as is, to determine the 24-chromosome copy number in each sample. This methodology was designed to specifically iden-tify whole-chromosome but not segmental aneuploidy. Statistics Sample specific concurrence. To evaluate the utility of a previously established strategy for identifying poor-quality data independent of knowing its accuracy (12), the overall concurrence was calculated for each sample. In this analysis, it is first assumed that the qPCR assay can assess only whole-chromosome aneuploidy, such that the four copy number assignments within each chromosome should always agree. Therefore, the standard deviation of the four measurements of copy number for each chromosome was cal-culated. The standard deviations of each of the 24 chromo-somes were then averaged for each sample. Outliers (nonconcurrent samples) were defined as samples found out-side an interquartile range of 1.5 from the overall distribution of average sample-specific standard deviations for each sam-ple type as determined with the use of Analyse-It software for Microsoft Excel. Means and variations of the rates of concur-rence in cell lines and embryos were evaluated for signifi-cance with a Student t test and an F test, respectively. Consistency of diagnosis. Consistency of the cell line 5-cell samples’ qPCR-based 24-chromosome copy number predic-tions with the cell lines’ karyotype (previously established by the Coriell Cell Repository by conventional karyotyping) was evaluated at the level of individual chromosome copy numbers and for the entire 24 chromosomes of each sample tested. Consistency of embryo qPCR-based 24-chromosome copy number assignments with previously established SNP microarray–based diagnoses was also evaluated at the level of individual chromosome copy numbers for the entire 24 chromosomes of each sample tested and for the overall diag-nosis of aneuploidy or euploidy. Results were evaluated with and without the application of a threshold of concurrence as described above. RESULTS Phase 1: Cell Lines Forty-two randomized blinded samples were evaluated for 24-chromosome copy number and compared for consistency FIGURE 1 Fertility and Sterility® Examples of qPCR-based 24-chromosome copy number results from 5-cell samples derived from nine cell lines with previously well characterized karyotypes. Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. with the cell lines’ karyotype previously determined by con-ventional g-banding at the commercial provider’s laboratory. Examples of qPCR results for 5-cell samples from the cell lines are shown in Figure 1. One of the samples (GM00323; 46,XY) produced a false positive trisomy 18, giving an overall consis-tency of chromosome copy number assignment of 99.90% (1,007/1,008) and an overall 24-chromosome diagnosis con-sistency of 97.6% (41/42). There were no false negative VOL. 97 NO. 4 / APRIL 2012 821
  • 4. SEMINAL CONTRIBUTION diagnoses for aneuploid chromosomes or inaccurate predic-tions of gender. Analysis of concurrence identified the only discordant cell line sample as the only outlier (i.e., nonconcur-rent; Fig. 2). Therefore, by applying a threshold of concur-rence, the cell line study resulted in 97.6% reliability of obtaining a diagnosis and a 100% level of consistency of chromosome-specific (n ¼ 984) and 24-chromosome copy number (n ¼ 41) assignments. The amount of time taken to complete the procedure for each sample was 4 hours. Phase 2: Embryos Seventy-one embryos with consistent SNP microarray–based 24 chromosome aneuploidy screening results from 2 biopsies were rebiopsied, randomized, and blinded for analysis of con-sistency of qPCR-based diagnoses. These were selected to re-duce the risk of mosaicism. Examples of embryo biopsy qPCR results are shown in Figure 3, and the details of karyotype pre-dictions are included in Supplemental Table 1 (available on-line at www.fertstert.org). In one embryo, consistently diagnosed as 45,XY,13,14,þ18 by SNP microarray analy-sis of two biopsies, qPCR failed to detect monosomy 14. All of the remaining chromosomes for all of the remaining samples were consistent between qPCR and microarray, giving an overall chromosome-specific consistency of 99.94% (1,703/ 1,704) and an overall 24-chromosome diagnosis consistency of 98.6% (70/71). There were no false positive aneuploid chro-mosomes observed or inaccurate predictions of sex. The over-all rate of concurrence in cell lines from phase 1 was equivalent to the rate of concurrence in embryos in phase 2 (P¼.96). The variation in concurrence rates within cell lines and embryos was also equivalent (P¼.34). Analysis of con-currence identified only one embryo sample as an outlier (i.e., nonconcurrent; Fig. 2). However, this was not the sample with the false negative monosomy 14, and therefore the consistency of the embryo results was the same with or with-out applying a threshold for concurrence. Because the only false negative aneuploidy diagnosis occurred in an embryo with other consistently diagnosed aneuploidies (monosomy 13 and trisomy 18), the overall qPCR-based diagnosis of aneuploidy or euploidy was 100% consistent with SNP FIGURE 2 Box-whisker plots representing the distribution of average 24- chromosome four-loci copy number standard deviations for each of the 42 cell line samples and 71 blastocyst biopsies. For each sample type, one outlier was identified, including the only cell line sample with an inconsistent qPCR diagnosis. Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. FIGURE 3 Examples of (gray) single-nucleotide polymorphism microarray– and (white) qPCR-based 24-chromosome copy number results from blastocyst-stage embryo biopsies. Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 822 VOL. 97 NO. 4 / APRIL 2012
  • 5. microarray based predictions. The amount of time taken to complete the procedure for each sample was 4 hours. DISCUSSION Results of the present study have demonstrated the validity of a new 4-hour method for CCS in human blastocysts. The tech-nical accuracy was measured in two phases. The first phase involved the use of cell lines with previously well character-ized karyotypes. Although it is possible for biologic variation of cell line karyotypes to exist as a result of extended culture (16, 17) or from unidentified low-level mosaicism in the orig-inal sample used to create the cell line, the potential impact of these biologic artifacts can be avoided by the use of early pas-sages of cell lines that show little to no evidence of mosaicism by conventional karyotyping. With this strategy we demon-strated a consistency of qPCR-based CCS of concurrent 5-cell samples of 100%. To evaluate a more relevant tissue type, the second phase of the study involved the evaluation of discarded human em-bryos. Because the presence of mosaicism in embryos as a re-sult of postzygotic mitotic aneuploidy development represents a well documented phenomenon that could con-tribute to biologic variation in blastocysts (11, 18), we selected embryos which specifically demonstrated consistent SNP microarray diagnoses from 2 biopsies. This approach may help reduce the impact of mosaicism and biologic variation on evaluating the technical accuracy of new methods such as qPCR. Indeed, analysis of these well controlled blastocysts by qPCR demonstrated 98.6% 24- chromosome consistency with the highly validated method of SNP microarray–based aneuploidy screening (12). Impor-tantly, all SNP microarray–based euploid embryos were diag-nosed as euploid and all SNP microarray–based aneuploid embryos as aneuploid by qPCR (100% laboratory diagnostic consistency). Furthermore, because trophectoderm biopsies may not all possess five cells as modeled in phase I, the results of evaluating actual trophectoderm biopsies in phase II pro-vides additional evidence of validity to samples with variable and potentially fewer numbers of cells. Another important observation regarding the perfor-mance of this qPCR methodology was the equivalent levels of concurrence measured in cell lines and embryos (Fig. 2). It has been suggested that PGD-based assays typically per-form differently on different cell types (i.e., lymphocytes, fi-broblasts, and embryonic cells) (19). Given the high degree of similarity in performance between cell lines and embryos in the present study, qPCR-based aneuploidy screening ap-pears to be a robust methodology independent of the cell type. This may be in part due to the use of locus-specific mul-tiplex PCR rather than whole-genome amplification for the initial processing of the sample. It is also possible that the use of trophectoderm biopsies, which may possess more than five cells, provided an advantage compared with the use of five lymphocytes or fibroblasts for providing consistent copy number assignments across each chromosome. The same advantage might be expected when comparing concurrence of trophectoderm with either blastomeres or polar bodies where less template DNA is present. Although this method Fertility and Sterility® was not applied to blastomeres or polar bodies (single cells), it is theoretically possible. In addition, this methodology could also be applicable to evaluating segmental aneuploidies associated with inheritance of unbalanced translocations by simply adding specific assays targeting positions on either side of the breakpoints of the chromosomes involved. Finally, one important challenge that should be considered is the need to process multiple embryos in parallel. Although this cer-tainly involves an additional expense (a limitation on its own), the procurement of multiple thermal cyclers and the use of standard laboratory automation solutions can be used to completely circumvent this challenge. In conclusion, with these measures of accuracy in place and the fact that this protocol can be accomplished within 4 hours of receiving a biopsy, this qPCR-based methodology provides the first opportunity for same-day trophectoderm bi-opsy 24-chromosome aneuploidy screening and fresh blasto-cyst transfer. Given the level of consistency with an established method of aneuploidy screening that has also demonstrated excellent predictive value for clinical outcome (20), this qPCR method can now be justifiably evaluated for clinical efficacy in a randomized controlled trial (RCT). In-deed, preliminary RCT results of 24-chromosome aneuploidy screening with qPCR on trophectoderm biopsies and subse-quent fresh euploid blastocyst transfer indicate a significant increase in the success of IVF (21). REFERENCES 1. Harper JC, Harton G. The use of arrays in preimplantation genetic diagnosis and screening. Fertil Steril 2010;94:1173–7. 2. Treff NR, Su J, Tao X, Northrop LE, Scott RT Jr. Single-cell whole-genome am-plification technique impacts the accuracy of SNP microarray-based geno-typing and copy number analyses. Mol Hum Reprod 2011;17:335–43. 3. Delhanty JD. Is the polar body approach best for pre-implantation genetic screening? Placenta 2011;32(Suppl 3):S268–70. 4. van Voorhis BJ, Dokras A. Delayed blastocyst transfer: is the window shut-ting? Fertil Steril 2008;89:31–2. 5. Handyside AH, Kontogianni EH, Hardy K, Winston RM. Pregnancies from bi-opsied human preimplantation embryos sexed by Y-specific DNA amplifica-tion. Nature 1990;344:768–70. 6. Harton GL, De Rycke M, Fiorentino F, Moutou C, SenGupta S, Traeger- Synodinos J, et al. ESHRE PGD consortium best practice guidelines for amplification-based PGD. Hum Reprod 2010;26:33–40. 7. Higuchi R, Fockler C, Dollinger G, Watson R. Kinetic PCR analysis: real-time monitoring of DNA amplification reactions. Biotechnology 1993;11:1026–30. 8. D’Haene B, Vandesompele J, Hellemans J. Accurate and objective copy num-ber profiling using real-time quantitative PCR. Methods 2010;50:262–70. 9. Schoolcraft WB, Treff NR, Stevens JM, Ferry K, Katz-Jaffe M, Scott RT Jr. Live birth outcome with trophectoderm biopsy, blastocyst vitrification, and sin-gle- nucleotide polymorphism microarray-based comprehensive chromo-some screening in infertile patients. Fertil Steril 2011;96:638–40. 10. Treff NR, Su J, Tao X, Miller KA, Levy B, Scott RT Jr. A novel single-cell DNA fingerprinting method successfully distinguishes sibling human embryos. Fertil Steril 2009;94:477–84. 11. Northrop LE, Treff NR, Levy B, Scott RT Jr. SNP microarray-based 24 chromo-some aneuploidy screening demonstrates that cleavage-stage FISH poorly predicts aneuploidy in embryos that develop to morphologically normal blas-tocysts. Mol Hum Reprod 2010;16:590–600. 12. Treff NR, Su J, Tao X, Levy B, Scott RT Jr. Accurate single cell 24 chromosome aneuploidy screening using whole genome amplification and single nucleo-tide polymorphism microarrays. Fertil Steril 2010;94:2017–21. 13. Cui XF, Li HH,Goradia TM, Lange K, Kasasian HH Jr,Galas D, et al. Single-sperm typing: determination of genetic distance between the G gamma-globin and VOL. 97 NO. 4 / APRIL 2012 823
  • 6. SEMINAL CONTRIBUTION parathyroid hormone loci by using the polymerase chain reaction and allele-specific oligomers. Proc Natl Acad Sci U S A 1989;86:9389–93. 14. Treff NR, Tao X, Su J, Lonczak A, Northrop LE, Ruiz A, et al. Tracking embryo implantation using cell-free fetal DNA enriched from maternal circulation at 9 weeks gestation. Mol Hum Reprod 2011;17:434–8. 15. Schmittgen TD, Livak KJ. Analyzing real-time PCR data by the comparative CT method. Nat Protoc 2008;3:1101–8. 16. Maitra A, Arking DE, Shivapurkar N, Ikeda M, Stastny V, Kassauei K, et al. Genomic alterations in cultured human embryonic stem cells. Nat Genet 2005;37:1099–103. 17. Draper JS, Smith K, Gokhale P, Moore HD, Maltby E, Johnson J, et al. Recur-rent gain of chromosomes 17q and 12 in cultured human embryonic stem cells. Nat Biotechnol 2004;22:53–4. 18. Fragouli E, Wells D. Aneuploidy in the human blastocyst. Cytogenet Ge-nome Res 2011. 19. Glentis S, SenGupta S, Thornhill A, Wang R, Craft I, Harper JC. Molecular comparison of single cell MDA products derived from different cell types. Re-prod Biomed online 2009;19:89–98. 20. Scott RT Jr, Ferry K, Su J, Tao X, Scott K, Treff NR. Comprehensive chromo-some screening is highly predictive of the reproductive potential of human embryos: a prospective, blinded, nonselection study. Fertil Steril 2012. doi: 10.1016/j.fertnstert.2012.01.104. 21. Scott RT Jr, Tao X, Taylor D, Ferry K, Treff N. A prospective randomized con-trolled trial demonstrating significantly increased clinical pregnancy rates following 24 chromosome aneuploidy screening: biopsy and analysis on day 5 with fresh transfer. Fertil Steril 2010;94:S2. 824 VOL. 97 NO. 4 / APRIL 2012
  • 7. SUPPLEMENTAL TABLE 1 Fertility and Sterility® Results of SNP microarray and randomized blinded qPCR analysis of 24-chromosome aneuploidy screening in 71 blastocysts. Patient no. Embryo no. SNP microarray result 1 SNP microarray result 2 qPCR result 1 1 46,XY 46,XY 46,XY 1 2 45,XX,8 45,XX,8 45,XX,8 2 3 46,XX 46,XX 46,XX 2 4 46,XY 46,XY 46,XY 2 5 45,XX,3 45,XX,3 45,XX,3 2 6 46,XY 46,XY 46,XY 2 7 46,XX 46,XX 46,XX 2 8 46,XY 46,XY 46,XY 2 9 46,XX 46,XX 46,XX 3 10 47,XX,þ14 47,XX,þ14 47,XX,þ14 3 11 44,XX,16,17 44,XX,16,17 44,XX,16,17 4 12 46,XX 46,XX 46,XX 5 13 46,XX,þ11,17 46,XX,þ11,17 46,XX,þ11,17 6 14 47,XY,þ16 47,XY,þ16 47,XY,þ16 6 15 46,XX 46,XX 46,XX 6 16 45,XX,10 45,XX,10 45,XX,10 6 17 46,XX 46,XX 46,XX 6 18 47,XY,þ15 47,XY,þ15 47,XY,þ15 7 19 45,XY,9 45,XY,9 45,XY,9 8 20 47,XX,þ13 47,XX,þ13 47,XX,þ13 9 21 46,XX 46,XX 46,XX 9 22 46,XX 46,XX 46,XX 10 23 46,XY 46,XY 46,XY 10 24 44,XX,9,22 44,XX,9,22 44,XX,9,22 10 25 45,XY,7 45,XY,7 45,XY,7 10 26 47,XX,þ22 47,XX,þ22 47,XX,þ22 10 27 46,XY 46,XY 46,XY 10 28 45,XY,16 45,XY,16 45,XY,16 10 29 47,XX,þ2,15,þ19 47,XX,þ2,15,þ19 47,XX,þ2,15,þ19 10 30 46,XX 46,XX 46,XX 10 31 45,XX,15 45,XX,15 45,XX,15 10 32 45,OY 45,OY 45,OY 11 33 47,XY,þ1 47,XY,þ1 47,XY,þ1 12 34 46,XY 46,XY 46,XY 13 35 45,XX,14 45,XX,14 45,XX,14 13 36 44,XY,21,22 44,XY,21,22 44,XY,21,22 13 37 46,XY 46,XY 46,XY 13 38 45,XX,15,þ16,22 45,XX,15,þ16,22 45,XX,15,þ16,22 13 39 46,XX 46,XX 46,XX 14 40 46,XY 46,XY 46,XY 14 41 46,XX 46,XX 46,XX 14 42 46,XY 46,XY 46,XY 14 43 46,XY 46,XY 46,XY 14 44 46,XY 46,XY 46,XY 14 45 46,XX 46,XX 46,XX 15 46 47,XX,þ7 47,XX,þ7 47,XX,þ7 16 47 46,XX 46,XX 46,XX 16 48 43,XX,4,16,22 43,XX,4,16,22 43,XX,4,16,22 16 49 46,XY 46,XY 46,XY 16 50 45,XY,16 45,XY,16 45,XY,16 16 51 47,XX,þ9 47,XX,þ9 47,XX,þ9 16 52 45,XY,þ7,10,22 45,XY,þ7,10,22 45,XY,þ7,10,22 16 53 49,XX,1,þ6,þ7,þ9,þ17 49,XX,1,þ6,þ7,þ9,þ17 49,XX,1,þ6,þ7,þ9,þ17 16 54 47,XX,þ16 47,XX,þ16 47,XX,þ16 16 55 45,XY,13,14,þ18 45,XY,13,14,þ18 46,XY,13,þ18a 16 56 46,XX 46,XX 46,XX 16 57 45,XY,6,þ19,21 45,XY,6,þ19,21 45,XY,6,þ19,21 17 58 48,XY,þ18,þ22 48,XY,þ18,þ22 48,XY,þ18,þ22 18 59 47,XY,þ20 47,XY,þ20 47,XY,þ20 19 60 45,XX,16 45,XX,16 45,XX,16 20 61 45,XY,12 45,XY,12 45,XY,12 21 62 46,XY 46,XY 46,XY 21 63 46,XX 46,XX 46,XX 22 64 46,XY 46,XY 46,XY 23 65 46,XY 46,XY 46,XY 24 66 46,XX 46,XX 46,XX 24 67 46,XY 46,XY 46,XY Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. VOL. 97 NO. 4 / APRIL 2012 824.e1
  • 8. SEMINAL CONTRIBUTION SUPPLEMENTAL TABLE 1 Continued. Patient no. Embryo no. SNP microarray result 1 SNP microarray result 2 qPCR result 24 68 46,XX 46,XX 46,XX 24 69 46,XX 46,XX 46,XX 24 70 46,XX 46,XX 46,XX 24 71 46,XY 46,XY 46,XY a Inconsistent qPCR result. Treff. 4-hour qPCR-based 24-chromosome CCS. Fertil Steril 2012. 824.e2 VOL. 97 NO. 4 / APRIL 2012