GCTA-GREML accounts for linkage disequilibrium when estimating genetic variance from genome-wide SNPs

Proceedings of the National Academy of Sciences of the United States of America

Volumn 113, Issue 32, 2016, Pages E4579-E4580

  Yanga, Jian ^a   Leec, S Hong ^b   Wraya, Naomi R ^a   Goddardd, Michael E ^c,d   Visscher, Peter M ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b UNIVERSITY OF NEW ENGLAND   (Australia)

^c UNIVERSITY OF MELBOURNE   (Australia)

^d Transport and Resources Agriculture Research and Development Division   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

GENE LINKAGE DISEQUILIBRIUM; GENETIC VARIABILITY; GENOME ANALYSIS; GENOME WIDE COMPLEX TRAIT ANALYSIS; GENOMIC RELATEDNESS BASED RESTRICTED MAXIMUM LIKELIHOOD; HUMAN; LETTER; MAXIMUM LIKELIHOOD METHOD; PHENOTYPIC VARIATION; PRIORITY JOURNAL; RELIABILITY; SIMULATION; SINGLE NUCLEOTIDE POLYMORPHISM; SYSTEMATIC ERROR; VARIANCE; GENETIC VARIATION; GENOME; GENOME-WIDE ASSOCIATION STUDY;

GENETIC VARIATION; GENOME; GENOME-WIDE ASSOCIATION STUDY; HUMANS; LINKAGE DISEQUILIBRIUM; POLYMORPHISM, SINGLE NUCLEOTIDE;

EID: 84982976085     PISSN: 00278424     EISSN: 10916490     Source Type: Journal    
DOI: 10.1073/pnas.1602743113     Document Type: Letter

References (8)

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