Rhian Gwilliam
Wellcome Trust Sanger Institute
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Publication
Featured researches published by Rhian Gwilliam.
Nature Genetics | 2008
Jeffrey C. Barrett; Sarah Hansoul; Dan L. Nicolae; Judy H. Cho; Richard H. Duerr; John D. Rioux; Steven R. Brant; Mark S. Silverberg; Kent D. Taylor; M. Michael Barmada; Alain Bitton; Themistocles Dassopoulos; Lisa W. Datta; Todd Green; Anne M. Griffiths; Emily O. Kistner; Miguel Regueiro; Jerome I. Rotter; L. Philip Schumm; A. Hillary Steinhart; Stephan R. Targan; Ramnik J. Xavier; Cécile Libioulle; Cynthia Sandor; Mark Lathrop; Jacques Belaiche; Olivier Dewit; Ivo Gut; Simon Heath; Debby Laukens
Several risk factors for Crohns disease have been identified in recent genome-wide association studies. To advance gene discovery further, we combined data from three studies on Crohns disease (a total of 3,230 cases and 4,829 controls) and carried out replication in 3,664 independent cases with a mixture of population-based and family-based controls. The results strongly confirm 11 previously reported loci and provide genome-wide significant evidence for 21 additional loci, including the regions containing STAT3, JAK2, ICOSLG, CDKAL1 and ITLN1. The expanded molecular understanding of the basis of this disease offers promise for informed therapeutic development.
Nature Genetics | 2009
Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Singh Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes
We undertook a two-stage genome-wide association study (GWAS) of Alzheimers disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimers disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).
Archive | 2009
Denise Harold; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Marian Lindsay Hamshere; Jaspreet Sing Pahwa; Valentina Moskvina; Kimberley Dowzell; Amy Williams; Nicola L. Jones; Charlene Thomas; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd; Clive Holmes
We undertook a two-stage genome-wide association study (GWAS) of Alzheimers disease (AD) involving over 16,000 individuals, the most powerful AD GWAS to date. In stage 1 (3,941 cases and 7,848 controls), we replicated the established association with the apolipoprotein E (APOE) locus (most significant SNP, rs2075650, P = 1.8 × 10−157) and observed genome-wide significant association with SNPs at two loci not previously associated with the disease: at the CLU (also known as APOJ) gene (rs11136000, P = 1.4 × 10−9) and 5′ to the PICALM gene (rs3851179, P = 1.9 × 10−8). These associations were replicated in stage 2 (2,023 cases and 2,340 controls), producing compelling evidence for association with Alzheimers disease in the combined dataset (rs11136000, P = 8.5 × 10−10, odds ratio = 0.86; rs3851179, P = 1.3 × 10−9, odds ratio = 0.86).
Nature Genetics | 2008
Karen A. Hunt; Alexandra Zhernakova; Graham Turner; Graham A. Heap; Lude Franke; Marcel Bruinenberg; Jihane Romanos; Lotte C. Dinesen; Anthony W. Ryan; Davinder Panesar; Rhian Gwilliam; Fumihiko Takeuchi; William M. McLaren; Geoffrey Holmes; Peter D. Howdle; Julian R. Walters; David S. Sanders; Raymond J. Playford; Gosia Trynka; Chris Jj Mulder; M. Luisa Mearin; Wieke H. Verbeek; Valerie Trimble; Fiona M. Stevens; Colm O'Morain; N. P. Kennedy; Dermot Kelleher; Daniel J. Pennington; David P. Strachan; Wendy L. McArdle
Our genome-wide association study of celiac disease previously identified risk variants in the IL2–IL21 region. To identify additional risk variants, we genotyped 1,020 of the most strongly associated non-HLA markers in an additional 1,643 cases and 3,406 controls. Through joint analysis including the genome-wide association study data (767 cases, 1,422 controls), we identified seven previously unknown risk regions (P < 5 × 10−7). Six regions harbor genes controlling immune responses, including CCR3, IL12A, IL18RAP, RGS1, SH2B3 (nsSNP rs3184504) and TAGAP. Whole-blood IL18RAP mRNA expression correlated with IL18RAP genotype. Type 1 diabetes and celiac disease share HLA-DQ, IL2–IL21, CCR3 and SH2B3 risk regions. Thus, this extensive genome-wide association follow-up study has identified additional celiac disease risk variants in relevant biological pathways.
Nature Genetics | 2011
David Evans; Chris C. A. Spencer; Jennifer J. Pointon; Zhan Su; David Harvey; Grazyna Kochan; U. Oppermann; Alexander Dilthey; M. Pirinen; M Stone; L. H. Appleton; Loukas Moutsianas; Stephen Leslie; Tom Wordsworth; Tony J. Kenna; Tugce Karaderi; Gethin P. Thomas; Michael M. Ward; Michael H. Weisman; C Farrar; Linda A. Bradbury; Patrick Danoy; Robert D. Inman; Walter P. Maksymowych; Dafna D. Gladman; Proton Rahman; Ann W. Morgan; Helena Marzo-Ortega; Paul Bowness; Karl Gaffney
Ankylosing spondylitis is a common form of inflammatory arthritis predominantly affecting the spine and pelvis that occurs in approximately 5 out of 1,000 adults of European descent. Here we report the identification of three variants in the RUNX3, LTBR-TNFRSF1A and IL12B regions convincingly associated with ankylosing spondylitis (P < 5 × 10−8 in the combined discovery and replication datasets) and a further four loci at PTGER4, TBKBP1, ANTXR2 and CARD9 that show strong association across all our datasets (P < 5 × 10−6 overall, with support in each of the three datasets studied). We also show that polymorphisms of ERAP1, which encodes an endoplasmic reticulum aminopeptidase involved in peptide trimming before HLA class I presentation, only affect ankylosing spondylitis risk in HLA-B27–positive individuals. These findings provide strong evidence that HLA-B27 operates in ankylosing spondylitis through a mechanism involving aberrant processing of antigenic peptides.
PLOS ONE | 2010
Lesley Jones; Peter Holmans; Marian Lindsay Hamshere; Denise Harold; Valentina Moskvina; Dobril Ivanov; Andrew Pocklington; Richard Abraham; Paul Hollingworth; Rebecca Sims; Amy Gerrish; Jaspreet Singh Pahwa; Nicola L. Jones; Alexandra Stretton; Angharad R. Morgan; Simon Lovestone; John Powell; Petroula Proitsi; Michelle K. Lupton; Carol Brayne; David C. Rubinsztein; Michael Gill; Brian A. Lawlor; Aoibhinn Lynch; Kevin Morgan; Kristelle Brown; Peter Passmore; David Craig; Bernadette McGuinness; Stephen Todd
Background Late Onset Alzheimers disease (LOAD) is the leading cause of dementia. Recent large genome-wide association studies (GWAS) identified the first strongly supported LOAD susceptibility genes since the discovery of the involvement of APOE in the early 1990s. We have now exploited these GWAS datasets to uncover key LOAD pathophysiological processes. Methodology We applied a recently developed tool for mining GWAS data for biologically meaningful information to a LOAD GWAS dataset. The principal findings were then tested in an independent GWAS dataset. Principal Findings We found a significant overrepresentation of association signals in pathways related to cholesterol metabolism and the immune response in both of the two largest genome-wide association studies for LOAD. Significance Processes related to cholesterol metabolism and the innate immune response have previously been implicated by pathological and epidemiological studies of Alzheimers disease, but it has been unclear whether those findings reflected primary aetiological events or consequences of the disease process. Our independent evidence from two large studies now demonstrates that these processes are aetiologically relevant, and suggests that they may be suitable targets for novel and existing therapeutic approaches.
Nature Genetics | 2009
Nicole Soranzo; Tim D. Spector; Massimo Mangino; Brigitte Kühnel; Augusto Rendon; Alexander Teumer; Christina Willenborg; Benjamin J. Wright; Li Chen; Mingyao Li; Perttu Salo; Benjamin F. Voight; Philippa Burns; Roman A. Laskowski; Yali Xue; Stephan Menzel; David Altshuler; John R. Bradley; Suzannah Bumpstead; Mary-Susan Burnett; Joseph M. Devaney; Angela Döring; Roberto Elosua; Stephen E. Epstein; Wendy N. Erber; Mario Falchi; Stephen F. Garner; Mohammed J. R. Ghori; Alison H. Goodall; Rhian Gwilliam
The number and volume of cells in the blood affect a wide range of disorders including cancer and cardiovascular, metabolic, infectious and immune conditions. We consider here the genetic variation in eight clinically relevant hematological parameters, including hemoglobin levels, red and white blood cell counts and platelet counts and volume. We describe common variants within 22 genetic loci reproducibly associated with these hematological parameters in 13,943 samples from six European population-based studies, including 6 associated with red blood cell parameters, 15 associated with platelet parameters and 1 associated with total white blood cell count. We further identified a long-range haplotype at 12q24 associated with coronary artery disease and myocardial infarction in 9,479 cases and 10,527 controls. We show that this haplotype demonstrates extensive disease pleiotropy, as it contains known risk loci for type 1 diabetes, hypertension and celiac disease and has been spread by a selective sweep specific to European and geographically nearby populations.
Nature Genetics | 2008
Sheila Fisher; Mark Tremelling; Carl A. Anderson; Rhian Gwilliam; Suzannah Bumpstead; Natalie J. Prescott; Elaine R. Nimmo; Dunecan Massey; Carlo Berzuini; Christopher M. Johnson; Jeffrey C. Barrett; Fraser Cummings; Hazel E. Drummond; Charlie W. Lees; Clive M. Onnie; Catherine Hanson; Katarzyna Blaszczyk; Michael Inouye; Philip Ewels; Radhi Ravindrarajah; Andrew Keniry; Sarah Hunt; Martyn J. Carter; Nicholas J. Watkins; Willem H. Ouwehand; Cathryn M. Lewis; L R Cardon; Alan J. Lobo; Alastair Forbes; Jeremy Sanderson
We report results of a nonsynonymous SNP scan for ulcerative colitis and identify a previously unknown susceptibility locus at ECM1. We also show that several risk loci are common to ulcerative colitis and Crohns disease (IL23R, IL12B, HLA, NKX2-3 and MST1), whereas autophagy genes ATG16L1 and IRGM, along with NOD2 (also known as CARD15), are specific for Crohns disease. These data provide the first detailed illustration of the genetic relationship between these common inflammatory bowel diseases.
Nature Genetics | 2009
Jeffrey C. Barrett; James C. Lee; Charles W. Lees; Natalie J. Prescott; Carl A. Anderson; Anne Phillips; Emma Wesley; K. Parnell; Hu Zhang; Hazel E. Drummond; Elaine R. Nimmo; Dunecan Massey; Kasia Blaszczyk; Tim Elliott; L Cotterill; Helen Dallal; Alan J. Lobo; Craig Mowat; Jeremy Sanderson; Derek P. Jewell; William G. Newman; Cathryn Edwards; Tariq Ahmad; John C. Mansfield; Jack Satsangi; Miles Parkes; Christopher G. Mathew; Peter Donnelly; Leena Peltonen; Jenefer M. Blackwell
Ulcerative colitis is a common form of inflammatory bowel disease with a complex etiology. As part of the Wellcome Trust Case Control Consortium 2, we performed a genome-wide association scan for ulcerative colitis in 2,361 cases and 5,417 controls. Loci showing evidence of association at P < 1 × 10−5 were followed up by genotyping in an independent set of 2,321 cases and 4,818 controls. We find genome-wide significant evidence of association at three new loci, each containing at least one biologically relevant candidate gene, on chromosomes 20q13 (HNF4A; P = 3.2 × 10−17), 16q22 (CDH1 and CDH3; P = 2.8 × 10−8) and 7q31 (LAMB1; P = 3.0 × 10−8). Of note, CDH1 has recently been associated with susceptibility to colorectal cancer, an established complication of longstanding ulcerative colitis. The new associations suggest that changes in the integrity of the intestinal epithelial barrier may contribute to the pathogenesis of ulcerative colitis.
Nature Genetics | 2009
Muminatou Jallow; Yik-Ying Teo; Kerrin S. Small; Kirk A. Rockett; Panos Deloukas; Taane G. Clark; Katja Kivinen; Kalifa Bojang; David J. Conway; Margaret Pinder; Giorgio Sirugo; Fatou Sisay-Joof; Stanley Usen; Sarah Auburn; Suzannah Bumpstead; Susana Campino; Alison J. Coffey; Andrew Dunham; Andrew E. Fry; Angela Green; Rhian Gwilliam; Sarah Hunt; Michael Inouye; Anna Jeffreys; Alieu Mendy; Aarno Palotie; Simon Potter; Jiannis Ragoussis; Jane Rogers; Kate Rowlands
We report a genome-wide association (GWA) study of severe malaria in The Gambia. The initial GWA scan included 2,500 children genotyped on the Affymetrix 500K GeneChip, and a replication study included 3,400 children. We used this to examine the performance of GWA methods in Africa. We found considerable population stratification, and also that signals of association at known malaria resistance loci were greatly attenuated owing to weak linkage disequilibrium (LD). To investigate possible solutions to the problem of low LD, we focused on the HbS locus, sequencing this region of the genome in 62 Gambian individuals and then using these data to conduct multipoint imputation in the GWA samples. This increased the signal of association, from P = 4 × 10−7 to P = 4 × 10−14, with the peak of the signal located precisely at the HbS causal variant. Our findings provide proof of principle that fine-resolution multipoint imputation, based on population-specific sequencing data, can substantially boost authentic GWA signals and enable fine mapping of causal variants in African populations.