Genome-wide association study based on multiple imputation with low-depth sequencing data: Application to biofuel traits in reed canarygrass

G3: Genes, Genomes, Genetics

Volumn 5, Issue 5, 2015, Pages 891-909

  Ramstein, Guillaume P ^a   Lipka, Alexander E ^b,f   Lu, Fei ^b   Costich, Denise E ^c   Cherney, Jerome H ^b   Buckler, Edward S ^b,d   Casler, Michael D ^a,e  

^a UNIVERSITY OF WISCONSIN MADISON   (United States)

^b Department of Obstetrics Gynecology   (United States)

^c INTERNATIONAL MAIZE AND WHEAT IMPROVEMENT CENTER CIMMYT   (Mexico)

^d AGRICULTURAL RESEARCH SERVICE   (United States)

^e U S DAIRY FORAGE RESEARCH CENTER   (United States)

^f UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Bioenergy; Genome wide association study; Genotyping by sequencing; Multiple imputation; Phalaris spp

Indexed keywords

BIOFUEL;

ARTICLE; BRACHYPODIUM; CONTROLLED STUDY; GENETIC ASSOCIATION; GENOTYPING TECHNIQUE; MOLECULAR PHYLOGENY; MULTIPLE IMPUTATION; NONHUMAN; PHALARIS; PHALARIS ARUNDINACEA; PHALARIS CAESIA; PHENOTYPE; PLANT GENOME; POPULATION STRUCTURE; SEQUENCE ANALYSIS; SINGLE NUCLEOTIDE POLYMORPHISM; STATISTICAL ANALYSIS; ALGORITHM; GENOME-WIDE ASSOCIATION STUDY; HIGH THROUGHPUT SEQUENCING; QUANTITATIVE TRAIT; THEORETICAL MODEL;

BRACHYPODIUM; CAESIA; PHALARIS; PHALARIS ARUNDINACEA;

ALGORITHMS; BIOFUELS; GENOME, PLANT; GENOME-WIDE ASSOCIATION STUDY; HIGH-THROUGHPUT NUCLEOTIDE SEQUENCING; MODELS, THEORETICAL; QUANTITATIVE TRAIT, HERITABLE;

EID: 84929926610     PISSN: None     EISSN: 21601836     Source Type: Journal    
DOI: 10.1534/g3.115.017533     Document Type: Article

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