Kassam Irfahan, Lloyd-Jones Luke, Holloway Alexander, Small Kerrin S, Zeng Biao, Bakshi Andrew, Metspalu Andres, Gibson Greg, Spector Tim D, Esko Tonu, Montgomery Grant W, Powell Joseph E, Yang Jian, Visscher Peter M, McRae Allan F
Queensland Brain Institute, The University of Queensland, Brisbane, Australia.
Department of Twin Research and Genetic Epidemiology, King's College London, London, UK.
Genome Biol. 2016 Dec 1;17(1):248. doi: 10.1186/s13059-016-1111-0.
Despite their nearly identical genomes, males and females differ in risk, incidence, prevalence, severity and age-at-onset of many diseases. Sexual dimorphism is also seen in human autosomal gene expression, and has largely been explored by examining the contribution of genotype-by-sex interactions to variation in gene expression.
In this study, we use data from a mixture of pedigree and unrelated individuals with verified European ancestry to investigate the sex-specific genetic architecture of gene expression measured in whole blood across n=1048 males and n=1005 females by treating gene expression intensities in the sexes as two distinct traits and estimating the genetic correlation (r ) between them. These correlations measure the similarity of the combined additive genetic effects of all single-nucleotide polymorphisms across the autosomal chromosomes, and thus the level of common genetic control of gene expression across the sexes. Genetic correlations are estimated across the sexes for the expression levels of 12,528 autosomal gene expression probes using bivariate GREML, and tested for differences in autosomal genetic control of gene expression across the sexes. Overall, no deviation of the distribution of test statistics is observed from that expected under the null hypothesis of a common autosomal genetic architecture for gene expression across the sexes.
These results suggest that males and females share the same common genetic control of gene expression.
尽管男性和女性的基因组几乎相同,但在许多疾病的风险、发病率、患病率、严重程度和发病年龄方面存在差异。人类常染色体基因表达中也存在性别二态性,并且主要通过研究基因与性别的相互作用对基因表达变异的贡献来进行探索。
在本研究中,我们使用来自具有欧洲血统的家系和无关个体混合样本的数据,通过将两性中的基因表达强度视为两个不同的性状,并估计它们之间的遗传相关性(r),来研究在n = 1048名男性和n = 1005名女性的全血中测量的基因表达的性别特异性遗传结构。这些相关性衡量了常染色体上所有单核苷酸多态性的综合加性遗传效应的相似性,从而衡量了两性之间基因表达的共同遗传控制水平。使用双变量GREML估计了12,528个常染色体基因表达探针在两性之间的表达水平的遗传相关性,并测试了两性之间基因表达的常染色体遗传控制差异。总体而言,未观察到检验统计量的分布与两性基因表达具有共同常染色体遗传结构的零假设下预期的分布有偏差。
这些结果表明,男性和女性在基因表达的共同遗传控制方面是相同的。