| 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 | |
| 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 |
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.
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