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Dive into the research topics where Neil M Walker is active.

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Featured researches published by Neil M Walker.


Nature Genetics | 2007

Robust associations of four new chromosome regions from genome-wide analyses of type 1 diabetes

John A. Todd; Neil M Walker; Jason D. Cooper; Deborah J. Smyth; Kate Downes; Vincent Plagnol; Rebecca Bailey; Sergey Nejentsev; Sarah Field; Felicity Payne; Christopher E. Lowe; Jeffrey S. Szeszko; Jason P. Hafler; Lauren Zeitels; Jennie H. M. Yang; Adrian Vella; Sarah Nutland; Helen Stevens; Helen Schuilenburg; Gillian Coleman; Meeta Maisuria; William Meadows; Luc J. Smink; Barry Healy; Oliver Burren; Alex C. Lam; Nigel R Ovington; James E Allen; Ellen C. Adlem; Hin-Tak Leung

The Wellcome Trust Case Control Consortium (WTCCC) primary genome-wide association (GWA) scan on seven diseases, including the multifactorial autoimmune disease type 1 diabetes (T1D), shows associations at P < 5 × 10−7 between T1D and six chromosome regions: 12q24, 12q13, 16p13, 18p11, 12p13 and 4q27. Here, we attempted to validate these and six other top findings in 4,000 individuals with T1D, 5,000 controls and 2,997 family trios independent of the WTCCC study. We confirmed unequivocally the associations of 12q24, 12q13, 16p13 and 18p11 (Pfollow-up ≤ 1.35 × 10−9; Poverall ≤ 1.15 × 10−14), leaving eight regions with small effects or false-positive associations. We also obtained evidence for chromosome 18q22 (Poverall = 1.38 × 10−8) from a GWA study of nonsynonymous SNPs. Several regions, including 18q22 and 18p11, showed association with autoimmune thyroid disease. This study increases the number of T1D loci with compelling evidence from six to at least ten.


Nature Genetics | 2009

Genome-wide association study and meta-analysis find that over 40 loci affect risk of type 1 diabetes

Jeffrey C. Barrett; David G. Clayton; Patrick Concannon; Beena Akolkar; Jason D. Cooper; Henry A. Erlich; Cécile Julier; Grant Morahan; Jørn Nerup; Concepcion Nierras; Vincent Plagnol; Flemming Pociot; Helen Schuilenburg; Deborah J. Smyth; Helen Stevens; John A. Todd; Neil M Walker; Stephen S. Rich

Type 1 diabetes (T1D) is a common autoimmune disorder that arises from the action of multiple genetic and environmental risk factors. We report the findings of a genome-wide association study of T1D, combined in a meta-analysis with two previously published studies. The total sample set included 7,514 cases and 9,045 reference samples. Forty-one distinct genomic locations provided evidence for association with T1D in the meta-analysis (P < 10−6). After excluding previously reported associations, we further tested 27 regions in an independent set of 4,267 cases, 4,463 controls and 2,319 affected sib-pair (ASP) families. Of these, 18 regions were replicated (P < 0.01; overall P < 5 × 10−8) and 4 additional regions provided nominal evidence of replication (P < 0.05). The many new candidate genes suggested by these results include IL10, IL19, IL20, GLIS3, CD69 and IL27.


Nature Genetics | 2006

A genome-wide association study of nonsynonymous SNPs identifies a type 1 diabetes locus in the interferon-induced helicase (IFIH1) region.

Deborah J. Smyth; Jason D. Cooper; Rebecca Bailey; Sarah Field; Oliver Burren; Luc J. Smink; Cristian Guja; Constantin Ionescu-Tirgoviste; Barry Widmer; David B. Dunger; David A. Savage; Neil M Walker; David G. Clayton; John A. Todd

In this study we report convincing statistical support for a sixth type 1 diabetes (T1D) locus in the innate immunity viral RNA receptor gene region IFIH1 (also known as mda-5 or Helicard) on chromosome 2q24.3. We found the association in an interim analysis of a genome-wide nonsynonymous SNP (nsSNP) scan, and we validated it in a case-control collection and replicated it in an independent family collection. In 4,253 cases, 5,842 controls and 2,134 parent-child trio genotypes, the risk ratio for the minor allele of the nsSNP rs1990760 A → G (A946T) was 0.86 (95% confidence interval = 0.82–0.90) at P = 1.42 × 10−10.


The New England Journal of Medicine | 2008

Shared and Distinct Genetic Variants in Type 1 Diabetes and Celiac Disease

Deborah J. Smyth; Vincent Plagnol; Neil M Walker; Jason D. Cooper; Kate Downes; Jennie H. M. Yang; Joanna M. M. Howson; Helen Stevens; Ross McManus; Cisca Wijmenga; Graham A. Heap; P Dubois; David G. Clayton; Karen A. Hunt; David A. van Heel; John A. Todd

BACKGROUND Two inflammatory disorders, type 1 diabetes and celiac disease, cosegregate in populations, suggesting a common genetic origin. Since both diseases are associated with the HLA class II genes on chromosome 6p21, we tested whether non-HLA loci are shared. METHODS We evaluated the association between type 1 diabetes and eight loci related to the risk of celiac disease by genotyping and statistical analyses of DNA samples from 8064 patients with type 1 diabetes, 9339 control subjects, and 2828 families providing 3064 parent-child trios (consisting of an affected child and both biologic parents). We also investigated 18 loci associated with type 1 diabetes in 2560 patients with celiac disease and 9339 control subjects. RESULTS Three celiac disease loci--RGS1 on chromosome 1q31, IL18RAP on chromosome 2q12, and TAGAP on chromosome 6q25--were associated with type 1 diabetes (P<1.00x10(-4)). The 32-bp insertion-deletion variant on chromosome 3p21 was newly identified as a type 1 diabetes locus (P=1.81x10(-8)) and was also associated with celiac disease, along with PTPN2 on chromosome 18p11 and CTLA4 on chromosome 2q33, bringing the total number of loci with evidence of a shared association to seven, including SH2B3 on chromosome 12q24. The effects of the IL18RAP and TAGAP alleles confer protection in type 1 diabetes and susceptibility in celiac disease. Loci with distinct effects in the two diseases included INS on chromosome 11p15, IL2RA on chromosome 10p15, and PTPN22 on chromosome 1p13 in type 1 diabetes and IL12A on 3q25 and LPP on 3q28 in celiac disease. CONCLUSIONS A genetic susceptibility to both type 1 diabetes and celiac disease shares common alleles. These data suggest that common biologic mechanisms, such as autoimmunity-related tissue damage and intolerance to dietary antigens, may be etiologic features of both diseases.


Nature Genetics | 2005

Population structure, differential bias and genomic control in a large-scale, case-control association study

David G. Clayton; Neil M Walker; Deborah J. Smyth; Rebecca Pask; Jason D. Cooper; Lisa M. Maier; Luc J. Smink; Alex C. Lam; Nigel R Ovington; Helen Stevens; Sarah Nutland; Joanna M. M. Howson; Malek Faham; Martin Moorhead; Hywel B. Jones; Matthew Falkowski; Paul Hardenbol; Thomas D. Willis; John A. Todd

The main problems in drawing causal inferences from epidemiological case-control studies are confounding by unmeasured extraneous factors, selection bias and differential misclassification of exposure. In genetics the first of these, in the form of population structure, has dominated recent debate. Population structure explained part of the significant +11.2% inflation of test statistics we observed in an analysis of 6,322 nonsynonymous SNPs in 816 cases of type 1 diabetes and 877 population-based controls from Great Britain. The remainder of the inflation resulted from differential bias in genotype scoring between case and control DNA samples, which originated from two laboratories, causing false-positive associations. To avoid excluding SNPs and losing valuable information, we extended the genomic control method by applying a variable downweighting to each SNP.


Nature Genetics | 2008

Meta-analysis of genome-wide association study data identifies additional type 1 diabetes risk loci

Jason D. Cooper; Deborah J. Smyth; Adam M. Smiles; Vincent Plagnol; Neil M Walker; James E Allen; Kate Downes; Jeffrey C. Barrett; Barry Healy; Josyf C. Mychaleckyj; James H. Warram; John A. Todd

We carried out a meta-analysis of data from three genome-wide association (GWA) studies of type 1 diabetes (T1D), testing 305,090 SNPs in 3,561 T1D cases and 4,646 controls of European ancestry. We obtained further support for 4q27 (IL2-IL21, P = 1.9 × 10−8) and, after genotyping an additional 6,225 cases, 6,946 controls and 2,828 families, convincing evidence for four previously unknown and distinct risk loci in chromosome regions 6q15 (BACH2, P = 4.7 × 10−12), 10p15 (PRKCQ, P = 3.7 × 10−9), 15q24 (CTSH, P = 3.2 × 10−15) and 22q13 (C1QTNF6, P = 2.0 × 10−8).


Nature Genetics | 2007

Large-scale genetic fine mapping and genotype-phenotype associations implicate polymorphism in the IL2RA region in type 1 diabetes

Christopher E. Lowe; Jason D. Cooper; Todd M. Brusko; Neil M Walker; Deborah J. Smyth; Rebecca Bailey; Kirsi Bourget; Vincent Plagnol; Sarah Field; Mark A. Atkinson; David G. Clayton; Linda S. Wicker; John A. Todd

Genome-wide association studies are now identifying disease-associated chromosome regions. However, even after convincing replication, the localization of the causal variant(s) requires comprehensive resequencing, extensive genotyping and statistical analyses in large sample sets leading to targeted functional studies. Here, we have localized the type 1 diabetes (T1D) association in the interleukin 2 receptor alpha (IL2RA) gene region to two independent groups of SNPs, spanning overlapping regions of 14 and 40 kb, encompassing IL2RA intron 1 and the 5′ regions of IL2RA and RBM17 (odds ratio = 2.04, 95% confidence interval = 1.70–2.45; P = 1.92 × 10−28; control frequency = 0.635). Furthermore, we have associated IL2RA T1D susceptibility genotypes with lower circulating levels of the biomarker, soluble IL-2RA (P = 6.28 × 10−28), suggesting that an inherited lower immune responsiveness predisposes to T1D.


American Journal of Human Genetics | 2005

Localization of a type 1 diabetes locus in the IL2RA/CD25 region by use of tag single-nucleotide polymorphisms

Adrian Vella; Jason D. Cooper; Christopher E. Lowe; Neil M Walker; Sarah Nutland; Barry Widmer; Richard Jones; Susan M. Ring; Wendy L. McArdle; Marcus Pembrey; David P. Strachan; David B. Dunger; Rebecca C.J. Twells; David G. Clayton; John A. Todd

As part of an ongoing search for genes associated with type 1 diabetes (T1D), a common autoimmune disease, we tested the biological candidate gene IL2RA (CD25), which encodes a subunit (IL-2R alpha) of the high-affinity interleukin-2 (IL-2) receptor complex. We employed a tag single-nucleotide polymorphism (tag SNP) approach in large T1D sample collections consisting of 7,457 cases and controls and 725 multiplex families. Tag SNPs were analyzed using a multilocus test to provide a regional test for association. We found strong statistical evidence in the case-control collection (P=6.5x10(-8)) for a T1D locus in the CD25 region of chromosome 10p15 and replicated the association in the family collection (P=7.3x10(-3); combined P=1.3x10(-10)). These results illustrate the utility of tag SNPs in a chromosome-regional test of disease association and justify future fine mapping of the causal variant in the region.


Cancer | 1997

The Gothenburg Breast Screening Trial

Nils Bjurstam; R N Lena Björneld; Jane Warwick; Evis Sala; Stephen W. Duffy; Lennarth Nyström; Neil M Walker; Erling Cahlin; Olof Eriksson; Larsolof Hafström; Halvard Lingaas; Jan Mattsson; Stellan Persson; Carl-Magnus Rudenstam; Håkan Salander; Johan Säve-Söderbergh; Torkel Wahlin

Although there is evidence for a reduction in breast carcinoma mortality with mammographic screening, some doubts have been expressed, and there is still uncertainty regarding the age specific effects.


Nature Genetics | 2002

Parameters for reliable results in genetic association studies in common disease

Ingrid Dahlman; Iain A. Eaves; Roman Kosoy; V. Anne Morrison; Joanne M. Heward; S. C. L. Gough; Amit Allahabadia; Jayne A. Franklyn; Jaakko Tuomilehto; Eva Tuomilehto-Wolf; Francesco Cucca; Cristian Guja; Constantin Ionescu-Tirgoviste; Helen Stevens; Philippa Carr; Sarah Nutland; Patricia A. McKinney; Julian Shield; W. Wang; Heather J. Cordell; Neil M Walker; John A. Todd; Patrick Concannon

It is increasingly apparent that the identification of true genetic associations in common multifactorial disease will require studies comprising thousands rather than the hundreds of individuals employed to date. Using 2,873 families, we were unable to confirm a recently published association of the interleukin 12B gene in 422 type I diabetic families. These results emphasize the need for large datasets, small P values and independent replication if results are to be reliable.

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John A. Todd

Wellcome Trust Centre for Human Genetics

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Alex C. Lam

University of Cambridge

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