A data-driven method for identifying rare variants with heterogeneous trait effects

Genetic Epidemiology

Volumn 35, Issue 7, 2011, Pages 679-685

  Zhang, Qunyuan ^a   Irvin, Marguerite R ^b   Arnett, Donna K ^b   Province, Michael A ^a   Borecki, Ingrid ^a  

^a WASHINGTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^b UNIVERSITY OF ALABAMA AT BIRMINGHAM   (United States)

Author keywords

Collapsing; Heterogeneous effects; Quantitative trait; Rare variant; Sum test

Indexed keywords

FENOFIBRATE; PEROXISOME PROLIFERATOR ACTIVATED RECEPTOR ALPHA; TRIACYLGLYCEROL;

ARTICLE; CONTROLLED STUDY; GENETIC ASSOCIATION; GENETIC HETEROGENEITY; GENETIC VARIABILITY; HUMAN; MOLECULAR GENETICS; P VALUE WEIGHTED SUM TEST; SIMULATION; STATISTICAL ANALYSIS; STATISTICAL SIGNIFICANCE;

BLOOD PRESSURE; BODY MASS INDEX; DATA INTERPRETATION, STATISTICAL; FENOFIBRATE; GENETIC VARIATION; HUMANS; MODELS, GENETIC; MODELS, STATISTICAL; PPAR ALPHA; QUANTITATIVE TRAIT, HERITABLE; TRIGLYCERIDES;

EID: 80054750776     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.20618     Document Type: Article

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