A subset-based approach improves power and interpretation for the combined analysis of genetic association studies of heterogeneous traits

American Journal of Human Genetics

Volumn 90, Issue 5, 2012, Pages 821-835

  Bhattacharjee, Samsiddhi ^a   Rajaraman, Preetha ^a   Jacobs, Kevin B ^a   Wheeler, William A ^b   Melin, Beatrice S ^c   Hartge, Patricia ^a   Yeager, Meredith ^a   Chung, Charles C ^a   Chanock, Stephen J ^a   Chatterjee, Nilanjan ^a  

^a NATIONAL CANCER INSTITUTE   (United States)

^b INFORMATION MANAGEMENT SERVICES INC   (United States)

^c UMEÅ UNIVERSITY   (Sweden)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; BASAL CELL CARCINOMA; BREAST CANCER; CANCER SUSCEPTIBILITY; CHRONIC LYMPHATIC LEUKEMIA; COLORECTAL CANCER; DYSKERATOSIS CONGENITA; GENETIC ASSOCIATION; GENETIC TRAIT; GERM CELL TUMOR; GLIOBLASTOMA; KIDNEY CANCER; LUNG ADENOCARCINOMA; LUNG CANCER; LUNG FIBROSIS; MELANOMA; NASOPHARYNX CANCER; NONHODGKIN LYMPHOMA; PANCREAS CANCER; PRIORITY JOURNAL; PROSTATE CANCER; SINGLE NUCLEOTIDE POLYMORPHISM;

CASE-CONTROL STUDIES; DATA INTERPRETATION, STATISTICAL; GENE FREQUENCY; GENETIC HETEROGENEITY; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LOGISTIC MODELS; MODELS, GENETIC; MODELS, THEORETICAL; PHENOTYPE;

EID: 84860771128     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2012.03.015     Document Type: Article

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