Using ancestry matching to combine family-based and unrelated samples for genome-wide association studies

Statistics in Medicine

Volumn 29, Issue 28, 2010, Pages 2932-2945

  Crossett, Andrew ^a   Kent, Brian P ^a   Klei, Lambertus ^b   Ringquist, Steven ^c   Trucco, Massimo ^c   Roeder, Kathryn ^a   Devlin, Bernie ^b  

^a CARNEGIE MELLON UNIVERSITY   (United States)

^b UNIVERSITY OF PITTSBURGH SCHOOL OF MEDICINE   (United States)

^c CHILDREN S HOSPITAL OF PITTSBURGH   (United States)

Author keywords

Conditional logistic regression; Family based design; Genome wide association; Matched case control; Population stratification

Indexed keywords

ALGORITHM; ARTICLE; CLUSTER ANALYSIS; CONDITIONAL LOGISTIC REGRESSION; CONTROLLED STUDY; GENE FREQUENCY; GENETIC ANALYSIS; GENETIC ASSOCIATION; GENETIC DIFFERENCE; GENETIC RISK; GENETIC SIMILARITY; GENETIC VARIABILITY; GENOTYPE; HAPLOTYPE MAP; HUMAN; LOGISTIC REGRESSION ANALYSIS; MATHEMATICAL COMPUTING; MATHEMATICAL MODEL; POPULATION GENETICS; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

BIOSTATISTICS; CASE-CONTROL STUDIES; CONTINENTAL POPULATION GROUPS; DIABETES MELLITUS, TYPE 1; FAMILY; FEMALE; GENOME-WIDE ASSOCIATION STUDY; HLA ANTIGENS; HUMANS; LOGISTIC MODELS; MALE; MODELS, STATISTICAL; PEDIGREE; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 77957736563     PISSN: 02776715     EISSN: 10970258     Source Type: Journal    
DOI: 10.1002/sim.4057     Document Type: Article

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