Bayesian mapping of genome-wide epistatic imprinted loci for quantitative traits

Theoretical and Applied Genetics

Volumn 124, Issue 8, 2012, Pages 1561-1571

  Li, Shize ^a   Wang, Xin ^b   Li, Jiahan ^c   Yang, Tianfu ^b   Min, Lingjiang ^d   Liu, Yang ^b   Lin, Min ^e   Yang, Runqing ^a,b  

^a HEILONGJIANG BAYI AGRICULTURAL UNIVERSITY   (China)

^b SHANGHAI JIAO TONG UNIVERSITY   (China)

^c UNIVERSITY OF NOTRE DAME   (United States)

^d QINGDAO AGRICULTURAL UNIVERSITY   (China)

^e DUKE UNIVERSITY SCHOOL OF MEDICINE   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; COMPUTATIONAL EFFICIENCY; GENE EXPRESSION; MATLAB; MAXIMUM LIKELIHOOD;

BAYESIAN MODEL SELECTION; GENETIC ARCHITECTURE; GENOMIC IMPRINTING; MAXIMUM LIKELIHOOD APPROACHES; POSTERIOR PROBABILITY; QUANTITATIVE TRAIT LOCUS; QUANTITATIVE TRAITS; SELECTIVE SAMPLING;

LEAST SQUARES APPROXIMATIONS;

ANIMALIA; LYCOPERSICON ESCULENTUM;

ALGORITHM; ALLELE; ANIMAL; ARTICLE; BAYES THEOREM; BIOLOGICAL MODEL; BODY WEIGHT; COMPUTER SIMULATION; CROSS BREEDING; FRUIT; GENETIC ASSOCIATION; GENETIC EPISTASIS; GENOME IMPRINTING; HUMAN; MOUSE; PROBABILITY; QUANTITATIVE TRAIT LOCUS; STATISTICAL MODEL;

ALGORITHMS; ALLELES; ANIMALS; BAYES THEOREM; BODY WEIGHT; COMPUTER SIMULATION; CROSSES, GENETIC; EPISTASIS, GENETIC; FRUIT; GENOME-WIDE ASSOCIATION STUDY; GENOMIC IMPRINTING; HUMANS; LIKELIHOOD FUNCTIONS; MICE; MODELS, GENETIC; MODELS, STATISTICAL; PROBABILITY; QUANTITATIVE TRAIT LOCI;

EID: 84865691664     PISSN: 00405752     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00122-012-1810-1     Document Type: Article

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