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比较医学基因组学方法可能有助于解释罕见的错义变异。

A comparative medical genomics approach may facilitate the interpretation of rare missense variation.

机构信息

Program in Genetics and Genome Biology, SickKids Research Institute, Toronto, Ontario, Canada.

Department of Molecular Genetics, University of Toronto, Toronto, Ontario, Canada.

出版信息

J Med Genet. 2024 Jul 19;61(8):817-821. doi: 10.1136/jmg-2023-109760.

DOI:10.1136/jmg-2023-109760
PMID:38508706
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11287553/
Abstract

PURPOSE

To determine the degree to which likely causal missense variants of single-locus traits in domesticated species have features suggestive of pathogenicity in a human genomic context.

METHODS

We extracted missense variants from the Online Mendelian Inheritance in Animals database for nine animals (cat, cattle, chicken, dog, goat, horse, pig, rabbit and sheep), mapped coordinates to the human reference genome and annotated variants using genome analysis tools. We also searched a private commercial laboratory database of genetic testing results from >400 000 individuals with suspected rare disorders.

RESULTS

Of 339 variants that were mappable to the same residue and gene in the human genome, 56 had been previously classified with respect to pathogenicity: 31 (55.4%) pathogenic/likely pathogenic, 1 (1.8%) benign/likely benign and 24 (42.9%) uncertain/other. The odds ratio for a pathogenic/likely pathogenic classification in ClinVar was 7.0 (95% CI 4.1 to 12.0, p<0.0001), compared with all other germline missense variants in these same 220 genes. The remaining 283 variants disproportionately had allele frequencies and REVEL scores that supported pathogenicity.

CONCLUSION

Cross-species comparisons could facilitate the interpretation of rare missense variation. These results provide further support for comparative medical genomics approaches that connect big data initiatives in human and veterinary genetics.

摘要

目的

确定在人类基因组背景下,驯化物种中单基因性状的可能致病错义变体在多大程度上具有致病性特征。

方法

我们从在线孟德尔遗传动物数据库中提取了 9 种动物(猫、牛、鸡、狗、山羊、马、猪、兔和羊)的错义变体,将坐标映射到人类参考基因组,并使用基因组分析工具对变体进行注释。我们还搜索了一个拥有 >400000 名疑似罕见疾病个体的遗传检测结果的私人商业实验室数据库。

结果

在可映射到人类基因组中相同残基和基因的 339 个变体中,有 56 个先前已根据致病性进行了分类:31 个(55.4%)致病性/可能致病性,1 个(1.8%)良性/可能良性,24 个(42.9%)不确定/其他。ClinVar 中致病性/可能致病性分类的优势比为 7.0(95%CI 4.1 至 12.0,p<0.0001),而在这些相同的 220 个基因中,所有其他种系错义变体的优势比均为 7.0。其余 283 个变体的等位基因频率和 REVEL 评分更支持致病性。

结论

跨物种比较可以促进对罕见错义变异的解释。这些结果为连接人类和兽医遗传学大数据计划的比较医学基因组学方法提供了进一步的支持。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/770c/11287553/20b5fad428ef/jmg-2023-109760f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/770c/11287553/e88a202694a3/jmg-2023-109760f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/770c/11287553/20b5fad428ef/jmg-2023-109760f02.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/770c/11287553/e88a202694a3/jmg-2023-109760f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/770c/11287553/20b5fad428ef/jmg-2023-109760f02.jpg

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The landscape of tolerated genetic variation in humans and primates.人类和灵长类动物中可耐受遗传变异的景观。
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