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系谱和单核苷酸多态性相关遗传学与近期环境是人体测量和心脏代谢性状变异的主要影响因素。

Pedigree- and SNP-Associated Genetics and Recent Environment are the Major Contributors to Anthropometric and Cardiometabolic Trait Variation.

作者信息

Xia Charley, Amador Carmen, Huffman Jennifer, Trochet Holly, Campbell Archie, Porteous David, Hastie Nicholas D, Hayward Caroline, Vitart Veronique, Navarro Pau, Haley Chris S

机构信息

MRC Human Genetics Unit, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.

Generation Scotland, Centre for Genomic and Experimental Medicine, MRC Institute of Genetics and Molecular Medicine, University of Edinburgh, Western General Hospital, Edinburgh, United Kingdom.

出版信息

PLoS Genet. 2016 Feb 2;12(2):e1005804. doi: 10.1371/journal.pgen.1005804. eCollection 2016 Feb.

Abstract

Genome-wide association studies have successfully identified thousands of loci for a range of human complex traits and diseases. The proportion of phenotypic variance explained by significant associations is, however, limited. Given the same dense SNP panels, mixed model analyses capture a greater proportion of phenotypic variance than single SNP analyses but the total is generally still less than the genetic variance estimated from pedigree studies. Combining information from pedigree relationships and SNPs, we examined 16 complex anthropometric and cardiometabolic traits in a Scottish family-based cohort comprising up to 20,000 individuals genotyped for ~520,000 common autosomal SNPs. The inclusion of related individuals provides the opportunity to also estimate the genetic variance associated with pedigree as well as the effects of common family environment. Trait variation was partitioned into SNP-associated and pedigree-associated genetic variation, shared nuclear family environment, shared couple (partner) environment and shared full-sibling environment. Results demonstrate that trait heritabilities vary widely but, on average across traits, SNP-associated and pedigree-associated genetic effects each explain around half the genetic variance. For most traits the recently-shared environment of couples is also significant, accounting for ~11% of the phenotypic variance on average. On the other hand, the environment shared largely in the past by members of a nuclear family or by full-siblings, has a more limited impact. Our findings point to appropriate models to use in future studies as pedigree-associated genetic effects and couple environmental effects have seldom been taken into account in genotype-based analyses. Appropriate description of the trait variation could help understand causes of intra-individual variation and in the detection of contributing loci and environmental factors.

摘要

全基因组关联研究已成功识别出数千个与一系列人类复杂性状和疾病相关的基因座。然而,显著关联所解释的表型变异比例有限。在使用相同密度的单核苷酸多态性(SNP)面板时,混合模型分析比单SNP分析能捕获更大比例的表型变异,但总体上仍通常低于从家系研究估计的遗传变异。结合家系关系和SNP的信息,我们在一个基于苏格兰家庭的队列中研究了16种复杂的人体测量和心脏代谢性状,该队列包括多达20000名个体,对约520000个常见常染色体SNP进行了基因分型。纳入亲属提供了估计与家系相关的遗传变异以及共同家庭环境影响的机会。性状变异被划分为与SNP相关的遗传变异、与家系相关的遗传变异、共享的核心家庭环境、共享的配偶(伴侣)环境和共享的全同胞环境。结果表明,性状遗传力差异很大,但平均而言,与SNP相关的遗传效应和与家系相关的遗传效应各解释了约一半的遗传变异。对于大多数性状,配偶最近共享的环境也很显著,平均占表型变异的约11%。另一方面,核心家庭成员或全同胞过去很大程度上共享的环境影响较为有限。我们的研究结果指出了未来研究中应使用的合适模型,因为在基于基因型的分析中很少考虑与家系相关的遗传效应和配偶环境效应。对性状变异的恰当描述有助于理解个体内变异的原因以及有助于发现相关基因座和环境因素。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7ab0/4737500/716c9f3e28f8/pgen.1005804.g001.jpg

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