A method for identifying genetic heterogeneity within phenotypically defined disease subgroups

被引：0
|
作者：
James Liley
John A Todd
Chris Wallace
机构：
[1] JDRF/Wellcome Trust Diabetes and Inflammation Laboratory,Department of Medical Genetics
[2] NIHR Cambridge Biomedical Research Centre,Department of Medicine
[3] Cambridge Institute for Medical Research,Nuffield Department of Medicine
[4] University of Cambridge,undefined
[5] University of Cambridge,undefined
[6] Addenbrooke's Hospital,undefined
[7] Wellcome Trust Centre for Human Genetics,undefined
[8] University of Oxford,undefined
[9] MRC Biostatistics Unit,undefined
[10] Institute of Public Health,undefined
[11] University Forvie Site,undefined
[12] Cambridge,undefined
[13] UK.,undefined
来源：
Nature Genetics | 2017年 / 49卷
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学科分类号：
摘要：
James Liley, John Todd and Chris Wallace present a statistical method for determining whether disease-associated variants have different effect sizes in phenotypically defined subgroups of disease cases. The test can be combined with existing methods to determine whether genetic heterogeneity is driven by population stratification or by different mechanisms of disease pathology.
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页码：310 / 316
页数：6
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