His primary scientific interests are in Genetics, Quantitative trait locus, Genetic architecture, Genome-wide association study and Nested association mapping. Michael D. McMullen connects Genetics with Chromatin immunoprecipitation in his study. His Quantitative trait locus research incorporates elements of Epistasis and Linkage disequilibrium.
His biological study spans a wide range of topics, including Genotyping, Fixation index and Genetic association. His Fixation index research is multidisciplinary, relying on both Germplasm and Genetic diversity. His work carried out in the field of Genome-wide association study brings together such families of science as Plant disease resistance, International HapMap Project, Pleiotropy and Genetic variation.
The scientist’s investigation covers issues in Genetics, Quantitative trait locus, Genetic diversity, Gene and Germplasm. His studies deal with areas such as Epistasis, Candidate gene, Nested association mapping and Linkage disequilibrium as well as Quantitative trait locus. He combines subjects such as Genotyping, Genetic association and Fixation index with his study of Linkage disequilibrium.
His study in Genetic diversity is interdisciplinary in nature, drawing from both Evolutionary biology, Fixation and Hybrid, Heterosis. The various areas that Michael D. McMullen examines in his Gene study include Plant virus, Virus and Computational biology. His Genome-wide association study study combines topics from a wide range of disciplines, such as International HapMap Project and Pleiotropy.
Michael D. McMullen mainly investigates Hybrid, Inbred strain, Minor allele frequency, Dominance and Complementation. His research on Hybrid frequently connects to adjacent areas such as Genomics. His Inbred strain research includes themes of Quantitative trait locus, Genetic architecture, Biotechnology and Resistance.
The concepts of his Minor allele frequency study are interwoven with issues in Epistasis, Genetic diversity, Evolutionary biology and Heterosis.
His main research concerns Hybrid, Coefficient of determination, Set, Cluster analysis and Genomics. His Hybrid research includes elements of Quantitative trait locus, Genetic architecture, Inbred strain and Candidate gene. His Coefficient of determination research incorporates elements of Predictive modelling and Optimal design.
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A unified mixed-model method for association mapping that accounts for multiple levels of relatedness
Jianming Yu;Gael Pressoir;William H Briggs;Irie Vroh Bi.
Nature Genetics (2006)
The Genetic Architecture of Maize Flowering Time
Edward S. Buckler;Edward S. Buckler;James B. Holland;James B. Holland;Peter J. Bradbury;Peter J. Bradbury;Charlotte B. Acharya.
Genetic Design and Statistical Power of Nested Association Mapping in Maize
Jianming Yu;James B. Holland;Michael D. McMullen;Edward S. Buckler.
Genetic properties of the maize nested association mapping population.
Michael D. McMullen;Michael D. McMullen;Stephen Kresovich;Hector Sanchez Villeda;Peter Bradbury;Peter Bradbury.
Genome-wide association study of leaf architecture in the maize nested association mapping population
Feng Tian;Peter J Bradbury;Patrick J Brown;Patrick J Brown;Hsiaoyi Hung.
Nature Genetics (2011)
The effects of artificial selection on the maize genome.
Stephen I. Wright;Irie Vroh Bi;Steve G. Schroeder;Masanori Yamasaki.
A first-generation haplotype map of maize
Michael A. Gore;Jer Ming Chia;Robert J. Elshire;Qi Sun.
Comparative population genomics of maize domestication and improvement
Matthew B. Hufford;Xun Xu;Joost Van Heerwaarden;Tanja Pyhäjärvi.
Nature Genetics (2012)
Maize HapMap2 identifies extant variation from a genome in flux
Jer Ming Chia;Chi Song;Peter J. Bradbury;Peter J. Bradbury;Denise Costich;Denise Costich.
Nature Genetics (2012)
Genome-wide association study of quantitative resistance to southern leaf blight in the maize nested association mapping population
Kristen L Kump;Peter J Bradbury;Peter J Bradbury;Randall J Wisser;Edward S Buckler;Edward S Buckler.
Nature Genetics (2011)
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