Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic co...
Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
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London: Nature Publishing Group UK
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English
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London: Nature Publishing Group UK
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Accumulating evidence from genome wide association studies (GWAS) suggests an abundance of shared genetic influences among complex human traits and disorders, such as mental disorders. Here we introduce a statistical tool, MiXeR, which quantifies polygenic overlap irrespective of genetic correlation, using GWAS summary statistics. MiXeR results are...
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Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation
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TN_cdi_doaj_primary_oai_doaj_org_article_e81f038c77814a4e89212eabbff80ce4
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e81f038c77814a4e89212eabbff80ce4
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ISSN
2041-1723
E-ISSN
2041-1723
DOI
10.1038/s41467-019-10310-0
