Nat Genet DOI:10.1038/ng.3572

A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases.

Publication Type	Journal Article
Year of Publication	2016
Authors	Han, B, Pouget, JG, Slowikowski, K, Stahl, E, Lee, CHyunkyu, Diogo, D, Hu, X, Park, YRang, Kim, E, Gregersen, PK, Dahlqvist, SRantapää, Worthington, J, Martín, J, Eyre, S, Klareskog, L, Huizinga, T, Chen, W-M, Onengut-Gumuscu, S, Rich, SS, Wray, NR, Raychaudhuri, S
Corporate Authors	Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium
Journal	Nat Genet
Volume	48
Issue	7
Pages	803-10
Date Published	2016 Jul
ISSN	1546-1718
Abstract	There is growing evidence of shared risk alleles for complex traits (pleiotropy), including autoimmune and neuropsychiatric diseases. This might be due to sharing among all individuals (whole-group pleiotropy) or a subset of individuals in a genetically heterogeneous cohort (subgroup heterogeneity). Here we describe the use of a well-powered statistic, BUHMBOX, to distinguish between those two situations using genotype data. We observed a shared genetic basis for 11 autoimmune diseases and type 1 diabetes (T1D; P 0.2; 6,670 T1D cases and 7,279 RA cases). Genetic sharing between seronegative and seropostive RA (P
URL	http://dx.doi.org/10.1038/ng.3572
DOI	10.1038/ng.3572
Pubmed	http://www.ncbi.nlm.nih.gov/pubmed/27182969?dopt=Abstract
Alternate Journal	Nat. Genet.
PubMed ID	27182969
PubMed Central ID	PMC4925284
Grant List	U19 AI111224 / AI / NIAID NIH HHS / United States T32 HG002295 / HG / NHGRI NIH HHS / United States T32 GM007753 / GM / NIGMS NIH HHS / United States U01 GM092691 / GM / NIGMS NIH HHS / United States U01 DK062418 / DK / NIDDK NIH HHS / United States R01 AR063759 / AR / NIAMS NIH HHS / United States UH2 AR067677 / AR / NIAMS NIH HHS / United States