2016 - Fellow of the American Statistical Association (ASA)
Karl W. Broman mainly focuses on Genetics, Quantitative trait locus, Genetic marker, Genetic linkage and Genome. His study in Genetics concentrates on Chromosome, Gene mapping, Allele, Locus and Linkage disequilibrium. His study in Quantitative trait locus is interdisciplinary in nature, drawing from both Evolutionary biology, Computational biology, Inclusive composite interval mapping, Family-based QTL mapping and Candidate gene.
His Genetic marker study combines topics in areas such as Autosome, Confidence distribution, Genotyping, Bayes' theorem and Linkage. His studies in Genetic linkage integrate themes in fields like Genotype and Age of onset. His research in Genome focuses on subjects like Inbred strain, which are connected to Chromosome breakage.
The scientist’s investigation covers issues in Genetics, Quantitative trait locus, Locus, Genetic linkage and Genome. Genetics is represented through his Gene, Gene mapping, Allele, Genotype and Meiosis research. His Gene mapping study incorporates themes from Genetic marker and X chromosome.
His Quantitative trait locus research also works with subjects such as
Quantitative trait locus, Genetics, Computational biology, Locus and Genotype are his primary areas of study. His Quantitative trait locus study integrates concerns from other disciplines, such as Pleiotropy, Genome, Model selection and Expression quantitative trait loci, Single-nucleotide polymorphism. His study in Gene, Phenotype, Recombination, Homologous recombination and Meiosis falls within the category of Genetics.
His Computational biology research is multidisciplinary, relying on both Microbiome and Shotgun sequencing. Karl W. Broman combines subjects such as Gut flora, Genetic variation, Bile acid and Candidate gene with his study of Locus. His research in the fields of SNP overlaps with other disciplines such as R package, Context and Sample.
Karl W. Broman mostly deals with Genetics, Quantitative trait locus, Locus, Expression quantitative trait loci and Phenotype. Association mapping, Single-nucleotide polymorphism, Homologous recombination, Recombination and Meiosis are the subjects of his Genetics studies. The study incorporates disciplines such as Genome, Strain, Genotyping, Software and Computational biology in addition to Association mapping.
His work carried out in the field of Quantitative trait locus brings together such families of science as Expression data, Upload, DNA microarray, Open source and Web application. His Locus research is multidisciplinary, incorporating elements of Microbial genetics, Gut flora, Genetic variation and Bile acid. Karl W. Broman interconnects Trait and Dominance in the investigation of issues within Phenotype.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
R/qtl: QTL mapping in experimental crosses
Karl W. Broman;Hao Wu;Saunak Sen;Gary A. Churchill.
Comprehensive Human Genetic Maps: Individual and Sex-Specific Variation in Recombination
Karl W. Broman;Jeffrey C. Murray;Val C. Sheffield;Raymond L. White.
American Journal of Human Genetics (1998)
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)
Quantitative trait loci on chromosomes 3 and 17 influence phenotypes of the metabolic syndrome
Ahmed H. Kissebah;Gabriele E. Sonnenberg;Joel Myklebust;Michael Goldstein.
Proceedings of the National Academy of Sciences of the United States of America (2000)
A Guide to QTL Mapping with R/qtl
Karl W. Broman;Saunak Sen.
The genome architecture of the collaborative cross mouse genetic reference population
Fuad A. Iraqi;Mustafa Mahajne;Yasser Salaymah;Hani Sandovski.
Perturbation of Nuclear Architecture by Long-Distance Chromosome Interactions
Abby F. Dernburg;Karl W. Broman;Jennifer C. Fung;Wallace F. Marshall.
A model selection approach for the identification of quantitative trait loci in experimental crosses
Karl W. Broman;Terence P. Speed.
Journal of The Royal Statistical Society Series B-statistical Methodology (2002)
A postgenomic method for predicting essential genes at subsaturation levels of mutagenesis: Application to Mycobacterium tuberculosis
Gyanu Lamichhane;Matteo Zignol;Natalie J. Blades;Deborah E. Geiman.
Proceedings of the National Academy of Sciences of the United States of America (2003)
Olfactory receptor-gene clusters, genomic-inversion polymorphisms, and common chromosome rearrangements.
Sabrina Giglio;Karl W. Broman;Naomichi Matsumoto;Vladimiro Calvari.
American Journal of Human Genetics (2001)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: