Suppr超能文献

单等位基因和双等位基因变异对生物库疾病的影响。

Mono- and biallelic variant effects on disease at biobank scale.

机构信息

Finnish Institute for Molecular Medicine (FIMM), University of Helsinki, Helsinki, Finland.

Digital Health Center, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.

出版信息

Nature. 2023 Jan;613(7944):519-525. doi: 10.1038/s41586-022-05420-7. Epub 2023 Jan 18.

Abstract

Identifying causal factors for Mendelian and common diseases is an ongoing challenge in medical genetics. Population bottleneck events, such as those that occurred in the history of the Finnish population, enrich some homozygous variants to higher frequencies, which facilitates the identification of variants that cause diseases with recessive inheritance. Here we examine the homozygous and heterozygous effects of 44,370 coding variants on 2,444 disease phenotypes using data from the nationwide electronic health records of 176,899 Finnish individuals. We find associations for homozygous genotypes across a broad spectrum of phenotypes, including known associations with retinal dystrophy and novel associations with adult-onset cataract and female infertility. Of the recessive disease associations that we identify, 13 out of 20 would have been missed by the additive model that is typically used in genome-wide association studies. We use these results to find many known Mendelian variants whose inheritance cannot be adequately described by a conventional definition of dominant or recessive. In particular, we find variants that are known to cause diseases with recessive inheritance with significant heterozygous phenotypic effects. Similarly, we find presumed benign variants with disease effects. Our results show how biobanks, particularly in founder populations, can broaden our understanding of complex dosage effects of Mendelian variants on disease.

摘要

确定孟德尔和常见疾病的因果因素是医学遗传学中的一个持续挑战。人口瓶颈事件,如在芬兰人口历史上发生的事件,使一些纯合变异体的频率更高,这有助于识别具有隐性遗传的疾病的变异体。在这里,我们使用来自 176,899 名芬兰个体的全国性电子健康记录的数据,检查了 44,370 个编码变异对 2,444 种疾病表型的纯合子和杂合子效应。我们发现了各种表型的纯合子基因型的关联,包括与视网膜营养不良的已知关联以及与成年白内障和女性不育的新关联。在我们确定的隐性疾病关联中,有 20 个中的 13 个将被通常用于全基因组关联研究的加性模型所遗漏。我们利用这些结果找到了许多已知的孟德尔变体,它们的遗传不能用显性或隐性的传统定义来充分描述。特别是,我们发现了已知具有隐性遗传疾病效应的变体,它们具有显著的杂合子表型效应。同样,我们也发现了具有疾病效应的假定良性变体。我们的结果表明,生物库,特别是在创始人群体中,如何拓宽我们对孟德尔变体对疾病的复杂剂量效应的理解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1acb/9849130/219968e28d74/41586_2022_5420_Fig1_HTML.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验