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围绕基因的群体分化遗传变异的全表型组关联研究。

Phenome-wide association study of population-differentiating genetic variants around gene .

作者信息

Yang Shuang, Cai Houjian, Ye Kaixiong

机构信息

Department of Genetics, Franklin College of Arts and Sciences, University of Georgia, Athens, GA 30602, USA.

Department of Pharmaceutical and Biomedical Sciences, College of Pharmacy, University of Georgia, Athens, GA 30602, USA.

出版信息

Evol Med Public Health. 2024 Sep 20;12(1):178-190. doi: 10.1093/emph/eoae024. eCollection 2024.

Abstract

BACKGROUND AND OBJECTIVES

Demographic dynamics and natural selection during human evolution shaped the present-day patterns of genetic variations, and geographically varying genetic factors contribute to different disease prevalences across human populations. This study aims to evaluate the presence of positive selection on the gene encoding long-chain fatty acyl-CoA synthetase 1 () and the phenotypic impacts of population-differentiating genetic variants around this gene.

METHODOLOGY

Three types of statistical tests for positive selection, based on site frequency spectrum, extended haplotype homozygosity and population differentiation, were applied to the whole-genome sequencing data from the 1000 Genomes Project. A phenome-wide association study of was performed with published genome-wide association studies (GWAS) and transcriptome-wide association studies, including phenome-wide studies in biobanks.

RESULTS

Genetic variants associated with expression in various tissues exhibit geographically varying allele frequencies. Three types of statistical tests consistently supported the presence of positive selection on the coding and regulatory regions of in African, European, South Asian and East Asian populations. A phenome-wide association study of revealed associations with type 2 diabetes, blood glucose, age at menopause, mean platelet volume and mean reticulocyte volume. The top allele associated with lower diabetes risk has the highest frequency in European populations, whereas the top allele associated with later menopause has the highest frequency in African populations.

CONCLUSIONS AND IMPLICATIONS

Positive selection on resulted in geographically varying genetic variants, which may contribute to differential phenotypes across human populations, including type 2 diabetes and age at menopause.

摘要

背景与目的

人类进化过程中的人口动态和自然选择塑造了当今的遗传变异模式,地理上存在差异的遗传因素导致了不同人群中疾病患病率的差异。本研究旨在评估长链脂肪酰辅酶A合成酶1()编码基因上正向选择的存在情况,以及该基因周围人群分化遗传变异的表型影响。

方法

基于位点频率谱、扩展单倍型纯合性和群体分化,对来自千人基因组计划的全基因组测序数据应用了三种正向选择统计检验方法。利用已发表的全基因组关联研究(GWAS)和转录组范围关联研究,包括生物样本库中的全表型组研究,对进行了全表型组关联研究。

结果

与在各种组织中表达相关的遗传变异呈现出地理上不同的等位基因频率。三种统计检验方法一致支持在非洲、欧洲、南亚和东亚人群的编码区和调控区存在正向选择。的全表型组关联研究揭示了与2型糖尿病、血糖、绝经年龄、平均血小板体积和平均网织红细胞体积之间的关联。与较低糖尿病风险相关的顶级等位基因在欧洲人群中的频率最高,而与较晚绝经相关的顶级等位基因在非洲人群中的频率最高。

结论与启示

上的正向选择导致了地理上不同的遗传变异,这可能导致不同人群出现不同的表型,包括2型糖尿病和绝经年龄。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f96a/11462608/e807f2cf5585/eoae024_fig1.jpg

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