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人类胚胎着床前全基因组常见疾病风险预测。

Whole-genome risk prediction of common diseases in human preimplantation embryos.

机构信息

MyOme, Inc., Menlo Park, CA, USA.

Natera, Inc., San Carlos, CA, USA.

出版信息

Nat Med. 2022 Mar;28(3):513-516. doi: 10.1038/s41591-022-01735-0. Epub 2022 Mar 21.

DOI:10.1038/s41591-022-01735-0
PMID:35314819
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8938270/
Abstract

Preimplantation genetic testing (PGT) of in-vitro-fertilized embryos has been proposed as a method to reduce transmission of common disease; however, more comprehensive embryo genetic assessment, combining the effects of common variants and rare variants, remains unavailable. Here, we used a combination of molecular and statistical techniques to reliably infer inherited genome sequence in 110 embryos and model susceptibility across 12 common conditions. We observed a genotype accuracy of 99.0-99.4% at sites relevant to polygenic risk scoring in cases from day-5 embryo biopsies and 97.2-99.1% in cases from day-3 embryo biopsies. Combining rare variants with polygenic risk score (PRS) magnifies predicted differences across sibling embryos. For example, in a couple with a pathogenic BRCA1 variant, we predicted a 15-fold difference in odds ratio (OR) across siblings when combining versus a 4.5-fold or 3-fold difference with BRCA1 or PRS alone. Our findings may inform the discussion of utility and implementation of genome-based PGT in clinical practice.

摘要

胚胎植入前遗传学检测(PGT)已被提议作为一种降低常见疾病传播的方法;然而,更全面的胚胎遗传评估,结合常见变体和罕见变体的影响,仍然不可用。在这里,我们使用分子和统计技术的组合,在 110 个胚胎中可靠地推断出遗传基因组序列,并对 12 种常见疾病的易感性进行建模。我们观察到在 5 天胚胎活检的病例中,与多基因风险评分相关的位点的基因型准确性为 99.0-99.4%,在 3 天胚胎活检的病例中为 97.2-99.1%。将罕见变体与多基因风险评分(PRS)相结合,可以放大同胞胚胎之间的预测差异。例如,在一对携带致病性 BRCA1 变体的夫妇中,当结合使用时,我们预测兄弟姐妹之间的优势比(OR)差异为 15 倍,而单独使用 BRCA1 或 PRS 则为 4.5 倍或 3 倍。我们的研究结果可能为基于基因组的 PGT 在临床实践中的效用和实施的讨论提供信息。

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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/1449d76d95bf/41591_2022_1735_Fig3_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/e65f58b261e5/41591_2022_1735_Fig4_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/19599a1ff190/41591_2022_1735_Fig5_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/f8829cc53a6c/41591_2022_1735_Fig6_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/f5ae6b79ccbb/41591_2022_1735_Fig7_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/ad5aef93cbf6/41591_2022_1735_Fig8_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/ee9156e6f15e/41591_2022_1735_Fig9_ESM.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/2a821ee8c421/41591_2022_1735_Fig10_ESM.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/99b8/8938270/4349fc39abe0/41591_2022_1735_Fig12_ESM.jpg

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