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dc.contributor.authorHan, Buhmen_US
dc.contributor.authorPouget, Jennie G.en_US
dc.contributor.authorSlowikowski, Kamilen_US
dc.contributor.authorStahl, Elien_US
dc.contributor.authorLee, Cue Hyunkyuen_US
dc.contributor.authorDiogo, Dorotheeen_US
dc.contributor.authorHu, Xinlien_US
dc.contributor.authorPark, Yu Rangen_US
dc.contributor.authorKim, Eunjien_US
dc.contributor.authorGregersen, Peter K.en_US
dc.contributor.authorDahlqvist, Solbritt Rantapääen_US
dc.contributor.authorWorthington, Janeen_US
dc.contributor.authorMartin, Javieren_US
dc.contributor.authorEyre, Steveen_US
dc.contributor.authorKlareskog, Larsen_US
dc.contributor.authorHuizinga, Tomen_US
dc.contributor.authorChen, Wei-Minen_US
dc.contributor.authorOnengut-Gumuscu, Sunaen_US
dc.contributor.authorRich, Stephen S.en_US
dc.contributor.authorWray, Naomi R.en_US
dc.contributor.authorRaychaudhuri, Soumyaen_US
dc.date.accessioned2016-12-02T15:25:26Z
dc.date.issued2016en_US
dc.identifier.citationHan, B., J. G. Pouget, K. Slowikowski, E. Stahl, C. H. Lee, D. Diogo, X. Hu, et al. 2016. “A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases.” Nature genetics 48 (7): 803-810. doi:10.1038/ng.3572. http://dx.doi.org/10.1038/ng.3572.en
dc.identifier.issn1061-4036en
dc.identifier.urihttp://nrs.harvard.edu/urn-3:HUL.InstRepos:29626151
dc.description.abstractThere is growing evidence of shared risk alleles between complex traits (pleiotropy), including autoimmune and neuropsychiatric diseases. This might be due to sharing between all individuals (whole-group pleiotropy), or a subset of individuals within a genetically heterogeneous cohort (subgroup heterogeneity). BUHMBOX is a well-powered statistic distinguishing between these two situations using genotype data. We observed a shared genetic basis between 11 autoimmune diseases and type 1 diabetes (T1D, p<10−4), and 11 autoimmune diseases and rheumatoid arthritis (RA, p<10−3). This sharing was not explained by subgroup heterogeneity (corrected pBUHMBOX>0.2, 6,670 T1D cases and 7,279 RA cases). Genetic sharing between seronegative and seropostive RA (p<10−9) had significant evidence of subgroup heterogeneity, suggesting a subgroup of seropositive-like cases within seronegative cases (pBUHMBOX=0.008, 2,406 seronegative RA cases). We also observed a shared genetic basis between major depressive disorder (MDD) and schizophrenia (p<10−4) that was not explained by subgroup heterogeneity (pBUHMBOX=0.28 in 9,238 MDD cases).en
dc.language.isoen_USen
dc.relation.isversionofdoi:10.1038/ng.3572en
dc.relation.hasversionhttp://www.ncbi.nlm.nih.gov/pmc/articles/PMC4925284/pdf/en
dash.licenseLAAen_US
dc.titleA method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseasesen
dc.typeJournal Articleen_US
dc.description.versionVersion of Recorden
dc.relation.journalNature geneticsen
dash.depositing.authorSlowikowski, Kamilen_US
dc.date.available2016-12-02T15:25:26Z
dc.identifier.doi10.1038/ng.3572*
dash.authorsorderedfalse
dash.contributor.affiliatedSlowikowski, Kamil
dash.contributor.affiliatedRaychaudhuri, Soumya


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