Position title: Professor
Biostatistics and Medical Informatics
Statistical problems in genetics and genomics, particularly methods for identifying genes contributing to variation in complex traits in experimental organisms.
- 6743 Medical Sciences Center
- Ph.D., University of California at Berkeley (1997), Postdoctoral Research: Marshfield Medical Research Foundation, Marshfield, Wisconsin
- Lab Website
- Biostatistics and Medical Informatics
- Research Interests
- Statistical problems in genetics and genomics, particularly methods for identifying genes contributing to variation in complex traits in experimental organisms.
- Research Fields
- Computational, Systems & Synthetic Biology, Evolutionary & Population Genetics, Genomics & Proteomics, Human, mouse & rat
I am an applied statistician focusing on problems in genetics and genomics – particularly the analysis of meiotic recombination and the genetic dissection of complex traits in experimental organisms. I am an enthusiastic advocate for open science, open software, reproducible research, and interactive data visualization.
Search PubMed for more publications by Karl Broman
Broman KW, Gatti DM, Svenson KL, Sen Ś, Churchill GA (2019) Cleaning genotype data from Diversity Outbred mice. G3 (Bethesda) 9:1571-1579 https://doi.org/10.1534/g3.119.400165
Broman KW, Gatti DM, Simecek P, Furlotte NA, Prins P, Sen Ś, Yandell BS, Churchill GA (2019) R/qtl2: software for mapping quantitative trait loci with high-dimensional data and multi-parent populations. Genetics 211:495-502 https://doi.org/10.1534/genetics.118.301595
Broman KW, Woo KH (2018) Data organization in spreadsheets. Am Stat 72:2-10 https://doi.org/10/gdz6cm
Broman KW, Keller MP, Broman AT, Kendziorski C, Yandell BS, Sen Ś, Attie AD (2015) Identification and correction of sample mix-ups in expression genetic data: A case study. G3 (Bethesda) 5:2177-2186 https://doi.org/10.1534/g3.115.019778
Broman KW (2015) R/qtlcharts: interactive graphics for quantitative trait locus mapping. Genetics 199:359-361 https://doi.org/10.1534/genetics.114.172742