Genome biology · 2016 · 18 citations · 34 references
Life SciencesGeneticsMolecular GeneticsHuman GeneticsMedical GeneticsStatistical GeneticsFamily-based Genetic AnalysisGenetic CorrelationGenotype-phenotype Association AnalysisGenotype-phenotype CorrelationPedigree AnalysisAdditive Genetic CorrelationAdditive Genetic VarianceCommon Genetic VariantsGenetic Correlation AnalysisMolecular Genetic ArchitectureSex Differences In Genetic EffectsSex-specific Gene ExpressionSingle-nucleotide Polymorphisms
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 G) 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.
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Basic local alignment search tool
Stephen F. Altschul, Warren Gish, Webb Miller et al. · Journal of Molecular Biology · 1990 · 94.5K citations
Introduction to Quantitative Genetics.
A. W. F. Edwards, D. S. Falconer · Biometrics · 1982 · 21.8K citations
Life Sciences, Biology, Genetics +12