There is increasing evidence that genome-wide association (GWA) studies represent a powerful approach to the identification of genes involved in common human diseases. We describe a joint GWA study (using the Affymetrix GeneChip 500K Mapping Array Set) undertaken in the British population, which has examined approximately 2,000 individuals for each of 7 major diseases and a shared set of approximately 3,000 controls. Case-control comparisons identified 24 independent association signals at

Despite great progress in identifying genetic variants that influence human disease, most inherited risk remains unexplained. A more complete understanding requires genome-wide studies that fully examine less common alleles in populations with a wide range of ancestry. To inform the design and interpretation of such studies, we genotyped 1.6 million common single nucleotide polymorphisms (SNPs) in 1,184 reference individuals from 11 global populations, and sequenced ten 100-kilobase regions in 692 of these individuals. This integrated data set of common and rare alleles, called ‘HapMap 3’, includes both SNPs and copy number polymorphisms (CNPs). We characterized population-specific differences among low-frequency variants, measured the improvement in imputation accuracy afforded by the larger reference panel, especially in imputing SNPs with a minor allele frequency of ≤5%, and demonstrated the feasibility of imputing newly discovered CNPs and SNPs. This expanded public resource of genome variants in global populations supports deeper interrogation of genomic variation and its role in human disease, and serves as a step towards a high-resolution map of the landscape of human genetic variation.

Elevated blood pressure is a common, heritable cause of cardiovascular disease worldwide. To date, identification of common genetic variants influencing blood pressure has proven challenging. We tested 2.5m genotyped and imputed SNPs for association with systolic and diastolic blood pressure in 34,433 subjects of European ancestry from the Global BPgen consortium and followed up findings with direct genotyping (N≤71,225 European ancestry, N=12,889 Indian Asian ancestry) and in silico comparison (CHARGE consortium, N=29,136). We identified association between systolic or diastolic blood pressure and common variants in 8 regions near the CYP17A1 (P=7×10−24), CYP1A2 (P=1×10−23), FGF5 (P=1×10−21), SH2B3 (P=3×10−18), MTHFR (P=2×10−13), c10orf107 (P=1×10−9), ZNF652 (P=5×10−9) and PLCD3 (P=1×10−8) genes. All variants associated with continuous blood pressure were associated with dichotomous hypertension. These associations between common variants and blood pressure and hypertension offer mechanistic insights into the regulation of blood pressure and may point to novel targets for interventions to prevent cardiovascular disease.

We have genotyped 14,436 nonsynonymous SNPs (nsSNPs) and 897 major histocompatibility complex (MHC) tag SNPs from 1,000 independent cases of ankylosing spondylitis (AS), autoimmune thyroid disease (AITD), multiple sclerosis (MS) and breast cancer (BC). Comparing these data against a common control dataset derived from 1,500 randomly selected healthy British individuals, we report initial association and independent replication in a North American sample of two new loci related to ankylosing spondylitis, ARTS1 and IL23R, and confirmation of the previously reported association of AITD with TSHR and FCRL3. These findings, enabled in part by increased statistical power resulting from the expansion of the control reference group to include individuals from the other disease groups, highlight notable new possibilities for autoimmune regulation and suggest that IL23R may be a common susceptibility factor for the major 'seronegative' diseases.

We tested 310,605 single-nucleotide polymorphisms for association in 778 celiac disease cases and 1422 controls. Outside the HLA, the most significant finding (rs13119723, P=2.0 × 10 −7 , empirical genome-wide significance P=0.045) was in the KIAA1109/Tenr/IL2/IL21 linkage disequilibrium block. Association was independently confirmed in two further collections (strongest at rs6822844, 24kB 5' of IL21, meta-analysis P=1.3 × 10 −14 , OR 0.63), suggesting genetic variation in this region predisposes to celiac disease.Celiac disease is a common (1% prevalence) small intestinal inflammatory condition induced by dietary wheat, rye, and barley. However despite high heritability (estimated at 87% from twin studies1), no non-HLA genetic factors have been identified and convincingly replicated. The majority of celiacs possess HLA-DQ2 (the remainder mostly HLA-DQ82), and how HLA-DQ2 presents cereal peptides to intestinal T cells is understood3. However HLA-DQ2 is common in healthy individuals, demonstrating it is necessary but not sufficient for disease development.

Statement LF and DAvH analysed UK GWAS data, selected SNPs and designed assays for golden gate genotyping. Substantial contributions to sample collections were made by DAvH, LD, GKTH, PH, JRFW, DSS (UK2 cases); DPS, WLMcA (1958 cohort controls); CJM, WV, MLM (DUTCH samples); VT, FMS, COM, NPK, DK (IRISH samples). UKGWAS genotyping was performed as described in PD lab2. KAH extracted UKGWAS and UK2 celiac DNA samples and performed UK2 sample golden gate genotyping. GrahamT and AWR prepared Irish DNA samples. GrahamT, AWR and KAH performed Irish sample golden gate genotyping. UK2 and IRISH genotyping was performed in CAM lab, DP performed quality control steps. AZ prepared DUTCH celiac and control DNA samples, and AZ and JR performed DUTCH sample golden gate genotyping in CW lab. DVH and KAH performed final golden gate genotype clustering on all samples, with assistance from RG. LD and DAvH collected Paxgene RNA celiac blood samples, GH extracted Paxgene RNA, GH and MB performed expression chips in CW lab, GH and LF analysed expression data. GosiaT performed IL18RAP re-sequencing. MCW processed intestinal biopsies, MB and MCW performed expression chips in CW lab, MCW and GH analysed expression data. DJP performed analysis of genes in intestinal T cell subsets. KAH and GH performed bioinformatics and annotation of celiac risk variant regions DAvH, RMM, CW were Principal Investigators and directed respectively the UK, IRISH and DUTCH sample collections and with RJP designed overall strategy and obtained funding for the study. DAvH directed the entire study, performed statistical analysis and generated the figures. DAvH and CW wrote the paper. RMcG, FT and WMMcL performed additional statistical analysis. To identify additional celiac disease susceptibility genes, we recently tested 310,605 SNPs in a genome wide association study of 778 celiac cases and 1,422 population controls from the United Kingdom (UKGWAS), using the Illumina HumanHap300 BeadChip2. The only SNP outside the HLA region demonstrating genome-wide significance was rs13119723 on 4q27, located in a ∼500 kb block of linkage disequilibrium (LD) containing the IL2 and IL21 genes2. Independent replication of SNPs from the IL2-IL21 region was established in both Dutch and Irish collections of celiac patients and controls. We estimate, using the current markers, that the IL2-IL21 region explains less than 1% of the increased familial risk to celiac disease, suggesting that there are additional unidentified susceptibility genes. Since we observed a greater number of significantly associated SNPs in the UKGWAS than would be expected by chance, we proceeded to study >1,000 of the most significant UKGWAS association results in a further 1,643 celiac cases and 3,406 controls from three independent European celiac disease collections. This two-stage strategy, involving a joint analysis of all data, substantially reduces the genotyping requirements versus performing whole genome genotyping on all samples and has been shown to maintain sufficient statistical power3. ...

We report the first genome-wide association study (GWAS) whose sample size (1,053 Swedish subjects) is sufficiently powered to detect genome-wide significance (p<1.5×10−7) for polymorphisms that modestly alter therapeutic warfarin dose. The anticoagulant drug warfarin is widely prescribed for reducing the risk of stroke, thrombosis, pulmonary embolism, and coronary malfunction. However, Caucasians vary widely (20-fold) in the dose needed for therapeutic anticoagulation, and hence prescribed doses may be too low (risking serious illness) or too high (risking severe bleeding). Prior work established that ∼30% of the dose variance is explained by single nucleotide polymorphisms (SNPs) in the warfarin drug target VKORC1 and another ∼12% by two non-synonymous SNPs (*2, *3) in the cytochrome P450 warfarin-metabolizing gene CYP2C9. We initially tested each of 325,997 GWAS SNPs for association with warfarin dose by univariate regression and found the strongest statistical signals (p<10−78) at SNPs clustering near VKORC1 and the second lowest p-values (p<10−31) emanating from CYP2C9. No other SNPs approached genome-wide significance. To enhance detection of weaker effects, we conducted multiple regression adjusting for known influences on warfarin dose (VKORC1, CYP2C9, age, gender) and identified a single SNP (rs2108622) with genome-wide significance (p = 8.3×10−10) that alters protein coding of the CYP4F2 gene. We confirmed this result in 588 additional Swedish patients (p<0.0029) and, during our investigation, a second group provided independent confirmation from a scan of warfarin-metabolizing genes. We also thoroughly investigated copy number variations, haplotypes, and imputed SNPs, but found no additional highly significant warfarin associations. We present power analysis of our GWAS that is generalizable to other studies, and conclude we had 80% power to detect genome-wide significance for common causative variants or markers explaining at least 1.5% of dose variance. These GWAS results provide further impetus for conducting large-scale trials assessing patient benefit from genotype-based forecasting of warfarin dose.

Genetic variants of cytochrome P450 2C9 (CYP2C9) and vitamin K epoxide reductase (VKORC1) are known to influence warfarin dose, but the effect of other genes has not been fully elucidated. We genotyped 183 polymorphisms in 29 candidate genes in 1496 Swedish patients starting warfarin treatment, and tested for association with response. CYP2C9*2 and *3 explained 12% (P ‫؍‬ 6.63 ؋ 10 ؊34 ) of the variation in warfarin dose, while a single VKORC1 SNP explained 30% (P ‫؍‬ 9.82 ؋ 10 ؊100