The genetics of preterm birth: Using what we know to design better association studies

American Journal of Epidemiology

Volumn 170, Issue 11, 2009, Pages 1373-1381

  Weinberg, Clarice R ^a   Shi, Min ^a  

^a NATIONAL INSTITUTE OF ENVIRONMENTAL HEALTH SCIENCES   (United States)

Author keywords

Association analysis; Genetics; Log linear model; Logistic model; Models, statistical; Power comparisons; Premature birth; Study design

Indexed keywords

GENE EXPRESSION; GENETIC ANALYSIS; HERITABILITY; MITOCHONDRION; NUMERICAL MODEL; PREGNANCY; RISK FACTOR;

ARTICLE; CLINICAL RESEARCH; GENE FREQUENCY; GENETIC ASSOCIATION; GENETIC SUSCEPTIBILITY; HUMAN; LOGLINEAR MODEL; METHODOLOGY; MITOCHONDRIAL GENE; MOTHER FETUS RELATIONSHIP; PREMATURITY;

ALLELES; FATHERS; FEMALE; GENETIC ASSOCIATION STUDIES; GENETIC PREDISPOSITION TO DISEASE; GENOTYPE; HETEROZYGOTE; HOMOZYGOTE; HUMANS; MALE; MODELS, GENETIC; MOTHERS; PREGNANCY; PREMATURE BIRTH; RISK FACTORS;

EID: 70849100075     PISSN: 00029262     EISSN: 14766256     Source Type: Journal    
DOI: 10.1093/aje/kwp325     Document Type: Article

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