Using the realized relationship matrix to disentangle confounding factors for the estimation of genetic variance components of complex traits

Genetics Selection Evolution

Volumn 42, Issue 1, 2010, Pages

  Lee, Sang Hong ^a   Goddard, Michael E ^b,c   Visscher, Peter M ^a   Van Der Werf, Julius H J ^d  

^a QIMR BERGHOFER MEDICAL RESEARCH INSTITUTE   (Australia)

^b DEPARTMENT OF PRIMARY INDUSTRIES   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d UNIVERSITY OF NEW ENGLAND   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

DOMINANCE; EPISTASIS; ESTIMATION METHOD; GENETIC VARIATION; GENOME; GENOTYPE; MATRIX; NUMERICAL MODEL; POLYMORPHISM; RODENT; SELECTION;

MUS;

ANIMAL; ARTICLE; BIOLOGICAL MODEL; EPIDEMIOLOGY; GENETIC VARIABILITY; GENETICS; GENOME; GENOTYPE; MOUSE; PEDIGREE; REGRESSION ANALYSIS; SIBLING; SINGLE NUCLEOTIDE POLYMORPHISM;

ANIMALS; BIAS (EPIDEMIOLOGY); GENETIC VARIATION; GENOME; GENOTYPE; MICE; MODELS, BIOLOGICAL; PEDIGREE; POLYMORPHISM, SINGLE NUCLEOTIDE; REGRESSION ANALYSIS; SIBLINGS;

EID: 77956399066     PISSN: 0999193X     EISSN: 12979686     Source Type: Journal    
DOI: 10.1186/1297-9686-42-22     Document Type: Article

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