Hypothesis-driven candidate gene association studies: Practical design and analytical considerations

American Journal of Epidemiology

Volumn 170, Issue 8, 2009, Pages 986-993

  Jorgensen, Timothy J ^a   Ruczinski, Ingo ^a   Kessing, Bailey ^a   Smith, Michael W ^a   Shugart, Yin Yao ^a   Alberg, Anthony J ^a  

^a GEORGETOWN UNIVERSITY   (United States)

Author keywords

Cancer; Data analysis; DNA repair; Genetic epidemiology; Genome wide association study; Haplotypes; Polymorphism, single nucleotide; Research design

Indexed keywords

ALGORITHM; ALLELE; ANALYTICAL METHOD; BIOCHEMISTRY; DATA ACQUISITION; DNA; EPIDEMIOLOGY; EXPERIMENTAL STUDY; GENE EXPRESSION; GENETIC ANALYSIS; OPTIMIZATION; STATISTICAL ANALYSIS;

ARTICLE; DATA ANALYSIS; DNA REPAIR; ENVIRONMENTAL EXPOSURE; GENE FREQUENCY; GENETIC ALGORITHM; GENETIC ASSOCIATION; GENETIC EPIDEMIOLOGY; GENOME; GENOTYPE ENVIRONMENT INTERACTION; HAPLOTYPE; HYPOTHESIS; MATHEMATICAL GENETICS; METHODOLOGY; NEOPLASM; QUALITY CONTROL; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS;

DNA REPAIR; EPIDEMIOLOGY, MOLECULAR; GENE FREQUENCY; GENETIC PREDISPOSITION TO DISEASE; GENOME-WIDE ASSOCIATION STUDY; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 70349685090     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp242     Document Type: Article

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