General framework for meta-analysis of rare variants in sequencing association studies

American Journal of Human Genetics

Volumn 93, Issue 1, 2013, Pages 42-53

  Lee, Seunggeun ^a   Teslovich, Tanya M ^b   Boehnke, Michael ^b   Lin, Xihong ^a  

^a HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

^b UNIVERSITY OF MICHIGAN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; GENE FREQUENCY; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC MARKER; GENETIC VARIABILITY; GENOTYPE; HEREDITY; HERITABILITY; HUMAN; META ANALYSIS; NON INSULIN DEPENDENT DIABETES MELLITUS; PHENOTYPE; PREVALENCE; PRIORITY JOURNAL; SECOND DEGREE RELATIVE; SIMULATION;

COMPUTER SIMULATION; EUROPEAN CONTINENTAL ANCESTRY GROUP; GENETIC ASSOCIATION STUDIES; GENETIC DISEASES, INBORN; GENETIC PREDISPOSITION TO DISEASE; GENETICS, POPULATION; HUMANS; LIPIDS; LOGISTIC MODELS; META-ANALYSIS AS TOPIC; POLYMORPHISM, SINGLE NUCLEOTIDE; REPRODUCIBILITY OF RESULTS;

EID: 84880294630     PISSN: 00029297     EISSN: 15376605     Source Type: Journal    
DOI: 10.1016/j.ajhg.2013.05.010     Document Type: Article

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