Detecting Association of Rare and Common Variants by Testing an Optimally Weighted Combination of Variants

Genetic Epidemiology

Volumn 36, Issue 6, 2012, Pages 561-571

  Sha, Qiuying ^a   Wang, Xuexia ^b   Wang, Xinli ^a   Zhang, Shuanglin ^a  

^a MICHIGAN TECHNOLOGICAL UNIVERSITY   (United States)

^b UNIVERSITY OF WISCONSIN MILWAUKEE   (United States)

Author keywords

Association studies; Common variants; Next generation sequencing; Optimal weights; Rare variants

Indexed keywords

ARTICLE; CONTROLLED STUDY; GENETIC ASSOCIATION; GENETIC TRAIT; GENETIC VARIABILITY; HUMAN; QUALITATIVE TRAIT; QUANTITATIVE TRAIT; SIMULATION; STATISTICAL ANALYSIS; STRATIFIED SAMPLE; VARIABLE WEIGHT TEST;

COMPUTER SIMULATION; DATABASES, GENETIC; GENETIC VARIATION; HUMANS; MODELS, GENETIC; PHENOTYPE; POLYMORPHISM, SINGLE NUCLEOTIDE; SAMPLE SIZE;

EID: 84865157725     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21649     Document Type: Article

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