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条件和无条件全基因组关联研究揭示了人类体重的复杂遗传结构及其与吸烟的相互影响。

Conditional and unconditional genome-wide association study reveal complicate genetic architecture of human body weight and impacts of smoking.

机构信息

Department of Mathematics, Zhejiang University, Hangzhou, 310058, China.

Institute of Bioinformatics, Zhejiang University, Hangzhou, 310058, China.

出版信息

Sci Rep. 2020 Jul 22;10(1):12136. doi: 10.1038/s41598-020-68935-x.

DOI:10.1038/s41598-020-68935-x
PMID:32699216
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7376032/
Abstract

To reveal the impacts of smoking on genetic architecture of human body weight, we conducted a genome-wide association study on 5,336 subjects in four ethnic populations from MESA (The Multi-Ethnic Study of Atherosclerosis) data. A full genetic model was applied to association mapping for analyzing genetic effects of additive, dominance, epistasis, and their ethnicity-specific effects. Both the unconditional model (base) and conditional model including smoking as a cofactor were investigated. There were 10 SNPs involved in 96 significant genetic effects detected by the base model, which accounted for a high heritability (61.78%). Gene ontology analysis revealed that a number of genetic factors are related to the metabolic pathway of benzopyrene, a main compound in cigarettes. Smoking may play important roles in genetic effects of dominance, dominance-related epistasis, and gene-ethnicity interactions on human body weight. Gene effect prediction shows that the genetic effects of smoking cessation on body weight vary from different populations.

摘要

为了揭示吸烟对人体体重遗传结构的影响,我们对来自 MESA(动脉粥样硬化多民族研究)数据的四个种族群体的 5336 名受试者进行了全基因组关联研究。我们应用全遗传模型进行关联作图,以分析加性、显性、上位性及其种族特异性效应的遗传效应。我们同时研究了不条件模型(基础模型)和包含吸烟作为协变量的条件模型。在基础模型检测到的 10 个 SNP 涉及 96 个显著的遗传效应,占高遗传率(61.78%)。基因本体分析表明,许多遗传因素与香烟中主要化合物苯并芘的代谢途径有关。吸烟可能在人体体重的显性、显性相关上位性和基因-种族相互作用的遗传效应中发挥重要作用。基因效应预测表明,戒烟对体重的遗传效应因不同人群而异。

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