An optimum projection and noise reduction approach for detecting rare and common variants associated with complex diseases

Human Heredity

Volumn 74, Issue 1, 2012, Pages 51-60

  Turkmen, Asuman ^a   Lin, Shili ^a  

^a OHIO STATE UNIVERSITY   (United States)

Author keywords

Missing heritability; Noise reduction; Partial least squares; Rare variants; Regularization LASSO; Super variant

Indexed keywords

ARTICLE; CONTROLLED STUDY; DISEASES; GENE SEQUENCE; GENETIC ASSOCIATION; GENETIC IDENTIFICATION; GENETIC TRAIT; GENETIC VARIABILITY; HERITABILITY; NOISE REDUCTION; PARTIAL LEAST SQUARES REGRESSION; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM;

GENETIC PREDISPOSITION TO DISEASE; GENETIC VARIATION; GENOME-WIDE ASSOCIATION STUDY; GENOMICS; HUMANS; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84868680733     PISSN: 00015652     EISSN: 14230062     Source Type: Journal    
DOI: 10.1159/000343797     Document Type: Article

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