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    Autosomal genetic control of human gene expression does not differ across the sexes.

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    Author
    Kassam, I; Lloyd-Jones, L; Holloway, A; Small, KS; Zeng, B; Bakshi, A; Metspalu, A; Gibson, G; Spector, TD; Esko, T; ...
    Date
    2016-12-01
    Source Title
    Genome Biology
    Publisher
    Springer Science and Business Media LLC
    University of Melbourne Author/s
    Bakshi, Andrew
    Affiliation
    School of BioSciences
    Metadata
    Show full item record
    Document Type
    Journal Article
    Citations
    Kassam, I., Lloyd-Jones, L., Holloway, A., Small, K. S., Zeng, B., Bakshi, A., Metspalu, A., Gibson, G., Spector, T. D., Esko, T., Montgomery, G. W., Powell, J. E., Yang, J., Visscher, P. M. & McRae, A. F. (2016). Autosomal genetic control of human gene expression does not differ across the sexes.. Genome Biol, 17 (1), pp.248-. https://doi.org/10.1186/s13059-016-1111-0.
    Access Status
    Open Access
    URI
    http://hdl.handle.net/11343/257733
    DOI
    10.1186/s13059-016-1111-0
    Open Access at PMC
    http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5134098
    Abstract
    BACKGROUND: 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. RESULTS: 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. CONCLUSIONS: These results suggest that males and females share the same common genetic control of gene expression.

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