Preimplantation Genetic Testing for Aneuploidy Improves Live Birth Rates with In Vitro Produced Bovine Embryos: A Blind Retrospective Study.
Preimplantation Genetic Testing for Aneuploidy Improves Live Birth Rates with In Vitro Produced Bovine Embryos: A Blind Retrospective Study.
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DOI:
10.3390/cells10092284
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发表时间:
2021-09-02
期刊:
影响因子:
6
通讯作者:
Griffin DK
中科院分区:
文献类型:
--
作者:
Silvestri G;Canedo-Ribeiro C;Serrano-Albal M;Labrecque R;Blondin P;Larmer SG;Marras G;Tutt DAR;Handyside AH;Farré M;Sinclair KD;Griffin DK
Approximately one million in vitro produced (IVP) cattle embryos are transferred worldwide each year as a way to improve the rates of genetic gain. The most advanced programmes also apply genomic selection at the embryonic stage by SNP genotyping and the calculation of genomic estimated breeding values (GEBVs). However, a high proportion of cattle embryos fail to establish a pregnancy. Here, we demonstrate that further interrogation of the SNP data collected for GEBVs can effectively remove aneuploid embryos from the pool, improving live births per embryo transfer (ET). Using three preimplantation genetic testing for aneuploidy (PGT-A) approaches, we assessed 1713 cattle blastocysts in a blind, retrospective analysis. Our findings indicate aneuploid embryos have a 5.8% chance of establishing a pregnancy and a 5.0% chance of given rise to a live birth. This compares to 59.6% and 46.7% for euploid embryos (p < 0.0001). PGT-A improved overall pregnancy and live birth rates by 7.5% and 5.8%, respectively (p < 0.0001). More detailed analyses revealed donor, chromosome, stage, grade, and sex-specific rates of error. Notably, we discovered a significantly higher incidence of aneuploidy in XY embryos and, as in humans, detected a preponderance of maternal meiosis I errors. Our data strongly support the use of PGT-A in cattle IVP programmes.
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DOI:
10.1093/bioinformatics/btx346
发表时间:
2017-10-01
期刊:
Bioinformatics (Oxford, England)
影响因子:
--
作者:
Gel B;Serra E
通讯作者:
Serra E
DOI:
10.1016/j.tig.2017.04.001
发表时间:
2017-07
期刊:
Trends in genetics : TIG
影响因子:
--
作者:
McCoy RC
通讯作者:
McCoy RC
影响因子:
1.7
作者:
Hornak, Miroslav;Kubicek, David;Rubes, Jiri
通讯作者:
Rubes, Jiri
影响因子:
2.8
作者:
MILLER, GF;GLIEDT, DW;RORIE, RW
通讯作者:
RORIE, RW
DOI:
10.1534/g3.113.007377
发表时间:
2013-10-03
期刊:
G3 (Bethesda, Md.)
影响因子:
--
作者:
Baryshnikova A;VanderSluis B;Costanzo M;Myers CL;Cha RS;Andrews B;Boone C
通讯作者:
Boone C