39 citations · 82 across the 4 of their papers we have counts for
4 papers
The dissection of expression quantitative trait locus hotspots
Jianan Tian, Mark P. Keller, Aimee Teo Broman +4
Studies of the genetic loci that contribute to variation in gene expression frequently identify loci with broad effect on gene expression: expression quantitative trait locus (eQTL…
A simple regression-based method to map quantitative trait loci underlying function-valued phenotypes
Il-Youp Kwak, Candace R. Moore, Edgar P. Spalding +1
Most statistical methods for QTL mapping focus on a single phenotype. However, multiple phenotypes are commonly measured, and recent technological advances have greatly simplified…
Identification and correction of sample mix-ups in expression genetic data: A case study
Karl W. Broman, Mark P. Keller, Aimee Teo Broman +4
In a mouse intercross with more than 500 animals and genome-wide gene expression data on six tissues, we identified a high proportion (18%) of sample mix-ups in the genotype data.…
Fourteen years of R/qtl: Just barely sustainable
Karl W. Broman
R/qtl is an R package for mapping quantitative trait loci (genetic loci that contribute to variation in quantitative traits) in experimental crosses. Its development began in 2000.…