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Using genotype data to distinguish pleiotropy from heterogeneity: deciphering coheritability in autoimmune and neuropsychiatric diseases

Authors :
Dorothée Diogo
Kamil Slowikowski
Buhm Han
Suna Onengut-Gumuscu
E Stahl
Dahqvist
Soumya Raychaudhuri
Xinli Hu
Lars Klareskog
Yu Rang Park
Naomi R. Wray
Peter K. Gregersen
Twj Huizinga
Eun Na Kim
Jennie G. Pouget
Wei Chen
Jane Worthington
Cue Hyunkyu Lee
Stephen S. Rich
Stephen Eyre
Publication Year :
2015
Publisher :
Cold Spring Harbor Laboratory, 2015.

Abstract

Shared genetic architecture between phenotypes may be driven by a common genetic basis (pleiotropy) or a subset of genetically similar individuals (heterogeneity). We developed BUHMBOX, a well-powered statistical method to distinguish pleiotropy from heterogeneity using genotype data. We observed a shared genetic basis between 11 of 17 tested autoimmune diseases and type I diabetes (T1D, p0.2 using 6,670 T1D cases and 7,279 RA cases), suggesting that shared genetic features in autoimmunity are due to pleiotropy. We observed a shared genetic basis between seronegative and seropostive RA (p

Details

Language :
English
Database :
OpenAIRE
Accession number :
edsair.doi.dedup.....0ec717b39f542c217a28798b2a0546e7
Full Text :
https://doi.org/10.1101/030783