Dr Jeffrey Barrett
Jeffrey develops and applies statistical and computational methods for elucidating the genetic factors in complex human diseases, especially those involving autoimmunity.
Jeffrey Barrett became interested in human disease genetics during an undergraduate research project in Mark Daly's lab at the Whitehead Institute while he was a student at the Massachusetts Institute of Technology (MIT).
After he graduated in 2002, with a, SB, Physics, Jeffrey joined Mark Daly's group full-time, where he developed software tools, including the widely used Haploview program, and analysed large scale human genetic variation datasets, including the HapMap project. In 2005 Jeffrey moved to Lon Cardon's group at the University of Oxford to undertake a DPhil in Statistics (jointly supervised by Peter Donnelly). While at Oxford Jeffrey spent the bulk of his time working on the design and subsequent analysis of the first generation of Genome Wide Association Studies (GWAS). He was a member of the analysis team for the Wellcome Trust Case Control Consortium (WTCCC), which comprised seven disease collections of 2000 cases each, with a shared set of 3000 controls. In addition to his work with the project as a whole, Jeffrey led the analysis of the replication effort in Crohn's disease (the most common type of inflammatory bowel disease). In late 2007 Jeffrey moved to a post-doctoral position in David Clayton's group at the University of Cambridge, where he worked on meta-analyses and follow-up of GWAS in both Crohn's disease and type 1 diabetes, each of which resulted in the identification of roughly twenty novel associations.
Jeffrey moved to the Wellcome Trust Sanger Institute in November 2008 to start a team in statistical and computational genetics, where he is continuing to work on both the general methodology for complex trait gene hunting and the specific follow-up projects of auto-inflammatory diseases like Inflammatory Bowel Disease (IBD) and type 1 diabetes. Jeffrey is also excited to take advantage of the unique capabilities of the Sanger Institute, including genome-wide sequence and transcription datasets. He is involved in a number of international consortia, including the WTCCC2, the 1000 Genomes project and the International IBD Genetics Consortium.
Selected Publications
Synthetic associations are unlikely to account for many common disease genome-wide association signals.
PLoS biology2011;9;1;e1000580
PUBMED: 21267062; PMC: 3022527; DOI: 10.1371/journal.pbio.1000580
Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci.
Nature genetics2010;42;12;1118-25
PUBMED: 21102463; DOI: 10.1038/ng.717
Evoker: a visualization tool for genotype intensity data.
Bioinformatics (Oxford, England)2010;26;14;1786-7
PUBMED: 20507892; PMC: 3073232; DOI: 10.1093/bioinformatics/btq280
Multiple common variants for celiac disease influencing immune gene expression.
Nature genetics2010;42;4;295-302
PUBMED: 20190752; PMC: 2847618; DOI: 10.1038/ng.543
Genome-wide association study of ulcerative colitis identifies three new susceptibility loci, including the HNF4A region.
Nature genetics2009;41;12;1330-4
PUBMED: 19915572; PMC: 2812019; DOI: 10.1038/ng.483
Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes.
Nature genetics2009;41;6;703-7
PUBMED: 19430480; PMC: 2889014; DOI: 10.1038/ng.381
Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease.
Nature genetics2008;40;8;955-62
PUBMED: 18587394; PMC: 2574810; DOI: 10.1038/ng.175
Sequence variants in the autophagy gene IRGM and multiple other replicating loci contribute to Crohn's disease susceptibility.
Nature genetics2007;39;7;830-2
PUBMED: 17554261; PMC: 2628541; DOI: 10.1038/ng2061
Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls.
Nature2007;447;7145;661-78
PUBMED: 17554300; PMC: 2719288; DOI: 10.1038/nature05911
Evaluating coverage of genome-wide association studies.
Nature genetics2006;38;6;659-62
PUBMED: 16715099; DOI: 10.1038/ng1801
A haplotype map of the human genome.
Nature2005;437;7063;1299-320
PUBMED: 16255080; PMC: 1880871; DOI: 10.1038/nature04226
Haploview: analysis and visualization of LD and haplotype maps.
Bioinformatics (Oxford, England)2005;21;2;263-5
PUBMED: 15297300; DOI: 10.1093/bioinformatics/bth457

