His scientific interests lie mostly in Genetics, Quantitative trait locus, Genome, Gene and Genetic variation. His Genetics study frequently draws connections between related disciplines such as Computational biology. The concepts of his Computational biology study are interwoven with issues in Restriction map, Contig and Candidate gene.
His Quantitative trait locus research incorporates elements of Expression quantitative trait loci, Allele, Genetic association and Family-based QTL mapping. His Genome research incorporates themes from Arabidopsis thaliana, Arabidopsis, Model organism and Genetic diversity. His Genomics research focuses on Sequence analysis and how it relates to Synteny, Reference genome, Genome evolution and Comparative genomics.
His primary areas of investigation include Genetics, Quantitative trait locus, Gene, Genome and Genetic variation. His studies in Haplotype, Inbred strain, Candidate gene, Locus and Allele are all subfields of Genetics research. His Haplotype study combines topics in areas such as Genotyping, Single-nucleotide polymorphism and Genetic marker.
The various areas that Richard Mott examines in his Quantitative trait locus study include Phenotype, Genome-wide association study, Genetic association and Heritability. In Genome-wide association study, Richard Mott works on issues like Imputation, which are connected to Whole genome sequencing and Evolutionary biology. In his research on the topic of Genome, DNA is strongly related with Computational biology.
Richard Mott mostly deals with Quantitative trait locus, Genetics, Candidate gene, Genome-wide association study and Haplotype. Richard Mott has researched Quantitative trait locus in several fields, including Evolutionary biology, Heritability and Endocrinology. His Genetics study frequently involves adjacent topics like Confounding.
His studies in Candidate gene integrate themes in fields like Chromosome, Cystic fibrosis and Immunology. His research investigates the connection with Genome-wide association study and areas like Genetic association which intersect with concerns in Computational biology, World Wide Web, Visualization and Periodontitis. His study looks at the relationship between Haplotype and fields such as Genome, as well as how they intersect with chemical problems.
Richard Mott focuses on Quantitative trait locus, Genetics, Candidate gene, Evolutionary biology and Genome-wide association study. His research in Quantitative trait locus intersects with topics in Quantitative genetics, Autism, Autism spectrum disorder and Heritability. Gene, Reference genome, Retrotransposon, Transposable element and Laboratory mouse are among the areas of Genetics where the researcher is concentrating his efforts.
His Candidate gene study integrates concerns from other disciplines, such as Chromosome, Serotype, Genetic variation and Allele. Richard Mott interconnects Germplasm, Genetic diversity, Genomics, Plant breeding and Gene mapping in the investigation of issues within Evolutionary biology. His Genome-wide association study study combines topics from a wide range of disciplines, such as Periodontitis, Chronic periodontitis, Aggressive periodontitis and Genetic association.
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Initial sequencing and comparative analysis of the mouse genome.
Robert H. Waterston;Kerstin Lindblad-Toh;Ewan Birney;Jane Rogers.
Nature (2002)
A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes
Marcy E. MacDonald;Christine M. Ambrose;Mabel P. Duyao;Richard H. Myers.
Cell (1993)
A novel gene containing a trinucleotide repeat that is expanded and unstable on Huntington's disease chromosomes. The Huntington's Disease Collaborative Research Group.
M Shah;N Datson;L Srinidhi;VP Stanton.
Cell (1993)
Mouse genomic variation and its effect on phenotypes and gene regulation
T M Keane;L Goodstadt;P Danecek;M A White.
Nature (2011)
The Collaborative Cross, a community resource for the genetic analysis of complex traits
Gary A. Churchill;David C. Airey;Hooman Allayee;Joe M. Angel.
Nature Genetics (2004)
Recent improvements to the SMART domain-based sequence annotation resource
Ivica Letunic;Leo Goodstadt;Nicholas J. Dickens;Tobias Doerks.
Nucleic Acids Research (2002)
1,135 Genomes Reveal the Global Pattern of Polymorphism in Arabidopsis thaliana
Carlos Alonso-Blanco;Jorge Andrade;Claude Becker;Felix Bemm.
Cell (2016)
Sparse whole-genome sequencing identifies two loci for major depressive disorder
Na Cai;Tim B. Bigdeli;Warren Kretzschmar;Yihan Li.
Nature (2015)
Multiple reference genomes and transcriptomes for Arabidopsis thaliana
Xiangchao Gan;Oliver Stegle;Jonas Behr;Joshua G. Steffen.
Nature (2011)
Strategies for mapping and cloning quantitative trait genes in rodents
Jonathan Flint;William Valdar;Sagiv Shifman;Richard Mott.
Nature Reviews Genetics (2005)
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