Sparse principal component analysis for identifying ancestry-informative markers in genome-wide association studies

Genetic Epidemiology

Volumn 36, Issue 4, 2012, Pages 293-302

  Lee, Seokho ^a   Epstein, Michael P ^b   Duncan, Richard ^b   Lin, Xihong ^c  

^a Hankuk University of Foreign Studies   (South Korea)

^b EMORY UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c HARVARD SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Ancestry informative markers; Genome wide association studies; Population stratification; Principal component analysis; Variable selection

Indexed keywords

ANCESTRY INFORMATIVE MARKER; ARTICLE; ENTERITIS; FOLLOW UP; GENETIC ASSOCIATION; GENETIC VARIABILITY; MARKER GENE; POPULATION GENETICS; PRINCIPAL COMPONENT ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM;

ALGORITHMS; CHROMOSOME MAPPING; COMPUTATIONAL BIOLOGY; GENETIC VARIATION; GENETICS, POPULATION; GENOME-WIDE ASSOCIATION STUDY; HAPMAP PROJECT; HUMANS; INFLAMMATORY BOWEL DISEASES; MODELS, STATISTICAL; POLYMORPHISM, SINGLE NUCLEOTIDE; POPULATION GROUPS; PRINCIPAL COMPONENT ANALYSIS; REGRESSION ANALYSIS; SOFTWARE;

EID: 84860340862     PISSN: 07410395     EISSN: 10982272     Source Type: Journal    
DOI: 10.1002/gepi.21621     Document Type: Article

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