by date Publication Highlights by author

  • Chick JM, Munger SC, Simecek P, Huttlin EL, Choi K, Gatti DM, Raghupathy N, Svenson KL, Churchill GA, Gygi SP
    Defining the consequences of genetic variation on a proteome-wide scale
    Nature. 2016 Jun 23;534(7608):500-5. doi: 10.1038/nature18270. Epub 2016 Jun 15
  • Didion JP, Morgan AP, Clayshulte AM, McMullan RC, Yadgary L, Petkov PM, Bell TA, Gatti DM, Crowley JJ, Hua K, Aylor DL, Bai L, Calaway M, Chesler EJ, French JE, Geiger TR, Gooch TJ, Garland T. Jr, Harrill AH, Hunter K, McMillan L, Holt M, Miller DR, O'Brien DA, Paigen K, Pan W, Rowe LB, Shaw GD, Simecek P, Sullivan PF, Svenson KL, Weinstock GM, Threadgill DW, Pomp D, Churchill GA, Pardo-Manuel de Villena F
    A multi-megabase copy number gain causes maternal transmission ratio distortion on mouse chromosome 2
    PLoS Genetics. 2015;11(2):e1004850
  • French JE, Gatti DM, Morgan DL, Kissling GE, Shockley KR, Knudsen GA, Shepard, KG, Price HC, King D, Witt KL, Pedersen LC, Munger SC, Svenson KL, Churchill GA
    Diversity Outbred Mice Identify Population Based Exposure Thresholds and Genetic Factors that Influence Benzene-Induced Genotoxicity
    Env. Health Persp., 2015;123(3):237-45
  • Gatti DM, Svenson KL, Shabalin A, Wu LY, Valdar W, Simecek P, Goodwin N, Cheng R, Pomp D, Palmer A, Chesler EJ, Broman KW and Churchill GA
    Quantitative trait locus mapping methods for diversity outbred mice
    G3. 2014;4(9):1623-33
  • Munger SC, Raghupathy N, Choi K, Simons AK, Gatti DM, Hinerfeld DA, Svenson KL, Keller MP, Attie AD, Hibbs MA, Graber JH, Chesler EJ, and Churchill GA
    RNA-seq alignment to individualized genomes improves transcript abundance estimates in multiparent populations
    Genetics. 2014;198(1):59-73
  • Blair RH, Kliebenstein DJ, Churchill GA
    What Can Causal Networks Tell Us about Metabolic Pathways?
    PLoS Comput Biol. 2012 Apr;8(4):e1002458
  • Churchill GA, Gatti DM, Munger SC, Svenson KL
    The Diversity Outbred Mouse Population
    Mamm Genome. 2012 Oct;23(9-10):713-8
  • Aylor DL, Valdar W, Foulds-Mathes W, Buus RJ, Verdugo RA, Baric RS, Ferris MT, Frelinger JA, Heise M, Frieman MB, Gralinski LE, Bell TA, Didion JD, Hua K, Nehrenberg DL, Powell CL, Steigerwalt J, Xie Y, Kelada SN, Collins FS, Yang IV, Schwartz DA, Branstetter LA, Chesler EJ, Miller DR, Spence J, Liu EY, McMillan L, Sarkar A, Wang J, Wang W, Zhang Q, Broman KW, Korstanje R, Durrant C, Mott R, Iraqi FA, Pomp D, Threadgill D, Pardo-Manuel de Villena F, Churchill GA
    Genetic analysis of complex traits in the emerging collaborative cross
    Genome Res. 2011 Aug;21(8):1223-38
  • Yang H, Wang JR, Didion JP, Buus RJ, Bell TA, Welsh CE, Bonhomme F, Yu AH, Nachman MW, Pi├ílek J, Tucker P, Boursot P, McMillan L, Churchill GA, Pardo-Manuel de Villena F
    Subspecific origin and haplotype diversity in the laboratory mouse
    Nat Genet. 2011 May 29;43(7):648-55
  • Yang H, Ding Y, Hutchins LN, Szatkiewicz J, Bell TA, Paigen BJ, Graber JH, Pardo-Manuel de Villena F, Churchill GA
    A customized and versatile high-density genotyping array for the mouse
    Nat Methods. 2009 Sep;6(9):663-6
  • Yang H, Bell TA, Churchill GA, Pardo-Manuel de Villena F
    On the subspecific origin of the laboratory mouse
    Nat Genet. 2007 Sep;39(9):1100-7
  • Li R, Tsaih SW, Shockley K, Stylianou IM, Wergedal J, Paigen B, Churchill GA
    Structural model analysis of multiple quantitative traits
    PLoS Genet. 2006 Jul;2(7):e114
  • Complex Trait Consortium
    The Collaborative Cross, a community resource for the genetic analysis of complex traits
    Nat Genet. 2004 Nov;36(11):1133-7
  • Broman KW, Wu H, Sen S, Churchill GA
    R/qtl: QTL mapping in experimental crosses
    Bioinformatics. 2003 May 1;19(7):889-90
  • Churchill GA
    Fundamentals of experimental design for cDNA microarrays
    Nat Genet. 2002 Dec;32 Suppl:490-5
  • Oleksiak MF, Churchill GA, Crawford DL
    Variation in gene expression within and among natural populations
    Nat Genet. 2002 Oct;32(2):261-6
  • Kerr MK, Churchill GA
    Experimental design for gene expression microarrays
    Biostatistics. 2001 Jun;2(2):183-201
  • Sen S, Churchill GA
    A statistical framework for quantitative trait mapping
    Genetics. 2001 Sep;159(1):371-87
  • Shimomura K, Low-Zeddies SS, King DP, Steeves TDL, Whiteley A, Kushla J, Zemenides PD, Lin A, Vitaterna MH, Churchill GA, Takahashi JS
    Genome-wide epistatic interaction analysis reveals complex genetic determinants of circadian behavior in mice
    Genome Res. 2001 Jun;11(6):959-80
  • Sugiyama F, Churchill GA, Higgins DC, Johns C, Makaritsis KP, Gavras H, Paigen B
    Concordance of murine quantitative trait loci for salt-induced hypertension with rat and human loci
    Genomics. 2001 Jan 1;71(1):70-7
  • Kerr MK, Martin M, Churchill GA
    Analysis of variance for gene expression microarray data
    J Comput Biol. 2000;7(6):819-37
  • Reifsnyder PC, Churchill G, Leiter EH
    Maternal environment and genotype interact to establish diabesity in mice
    Genome Res 2000 Oct;10:1568-1578
  • Simonsen KL, Churchill GA
    A Markov chain model of coalescence with recombination
    Theor Popul Biol. 1997 Aug;52(1):43-59
  • Felsenstein J, Churchill GA
    A hidden Markov model approach to variation among sites in rate of evolution
    Mol Biol Evol. 1996 Jan;13(1):93-104
  • Churchill GA, Doerge RW
    Empirical threshold values for quantitative trait mapping
    Genetics. 1994 Nov;138(3):963-71
  • Churchill GA, Waterman MS
    The accuracy of DNA sequences: estimating sequence quality
    Genomics. 1992 Sep;14(1):89-98
  • Churchill GA
    Stochastic models for heterogeneous DNA sequences
    Bull Math Biol. 1989;51(1):79-94