30 results found
Cheng G, Tang CS-M, Wong EH-M, et al., 2013, Common genetic variants regulating ADD3 gene expression alter biliary atresia risk, JOURNAL OF HEPATOLOGY, Vol: 59, Pages: 1285-1291, ISSN: 0168-8278
Song Y-Q, Karasugi T, Cheung KMC, et al., 2013, Lumbar disc degeneration is linked to a carbohydrate sulfotransferase 3 variant, JOURNAL OF CLINICAL INVESTIGATION, Vol: 123, Pages: 4909-4917, ISSN: 0021-9738
den Hoed M, Eijgelsheim M, Esko T, et al., 2013, Identification of heart rate-associated loci and their effects on cardiac conduction and rhythm disorders, NATURE GENETICS, Vol: 45, Pages: 621-+, ISSN: 1061-4036
Kujala UM, Makinen V-P, Heinonen I, et al., 2013, Long-term Leisure-time Physical Activity and Serum Metabolome, CIRCULATION, Vol: 127, Pages: 340-+, ISSN: 0009-7322
al Basatena N-KS, Hoggart CJ, Coin LJ, et al., 2013, The Effect of Genomic Inversions on Estimation of Population Genetic Parameters from SNP Data, GENETICS, Vol: 193, Pages: 243-253, ISSN: 0016-6731
Codd V, Nelson CP, Albrecht E, et al., 2013, Identification of seven loci affecting mean telomere length and their association with disease, Nat Genet, Vol: 45, Pages: 422-427e2, ISSN: 1546-1718
Interindividual variation in mean leukocyte telomere length (LTL) is associated with cancer and several age-associated diseases. We report here a genome-wide meta-analysis of 37,684 individuals with replication of selected variants in an additional 10,739 individuals. We identified seven loci, including five new loci, associated with mean LTL (P < 5 x 10(-8)). Five of the loci contain candidate genes (TERC, TERT, NAF1, OBFC1 and RTEL1) that are known to be involved in telomere biology. Lead SNPs at two loci (TERC and TERT) associate with several cancers and other diseases, including idiopathic pulmonary fibrosis. Moreover, a genetic risk score analysis combining lead variants at all 7 loci in 22,233 coronary artery disease cases and 64,762 controls showed an association of the alleles associated with shorter LTL with increased risk of coronary artery disease (21% (95% confidence interval, 5-35%) per standard deviation in LTL, P = 0.014). Our findings support a causal role of telomere-length variation in some age-related diseases.
van der Harst P, Zhang W, Leach IM, et al., 2012, Seventy-five genetic loci influencing the human red blood cell, NATURE, Vol: 492, Pages: 369-+, ISSN: 0028-0836
O'Reilly PF, Hoggart CJ, Pomyen Y, et al., 2012, MultiPhen: Joint Model of Multiple Phenotypes Can Increase Discovery in GWAS, PLOS One, Vol: 7, ISSN: 1932-6203
The genome-wide association study (GWAS) approach has discovered hundreds of genetic variants associated with diseasesand quantitative traits. However, despite clinical overlap and statistical correlation between many phenotypes, GWAS aregenerally performed one-phenotype-at-a-time. Here we compare the performance of modelling multiple phenotypes jointlywith that of the standard univariate approach. We introduce a new method and software, MultiPhen, that models multiplephenotypes simultaneously in a fast and interpretable way. By performing ordinal regression, MultiPhen tests the linearcombination of phenotypes most associated with the genotypes at each SNP, and thus potentially captures effects hiddento single phenotype GWAS. We demonstrate via simulation that this approach provides a dramatic increase in power inmany scenarios. There is a boost in power for variants that affect multiple phenotypes and for those that affect only onephenotype. While other multivariate methods have similar power gains, we describe several benefits of MultiPhen overthese. In particular, we demonstrate that other multivariate methods that assume the genotypes are normally distributed,such as canonical correlation analysis (CCA) and MANOVA, can have highly inflated type-1 error rates when testing casecontrolor non-normal continuous phenotypes, while MultiPhen produces no such inflation. To test the performance ofMultiPhen on real data we applied it to lipid traits in the Northern Finland Birth Cohort 1966 (NFBC1966). In these dataMultiPhen discovers 21% more independent SNPs with known associations than the standard univariate GWAS approach,while applying MultiPhen in addition to the standard approach provides 37% increased discovery. The most associatedlinear combinations of the lipids estimated by MultiPhen at the leading SNPs accurately reflect the Friedewald Formula,suggesting that MultiPhen could be used to refine the definition of existing phenotypes or uncover novel heritablepheno
Taal HR, St Pourcain B, Thiering E, et al., 2012, Common variants at 12q15 and 12q24 are associated with infant head circumference, Nat Genet, Vol: 44, Pages: 532-538, ISSN: 1061-4036
Tukiainen T, Kettunen J, Kangas AJ, et al., 2012, Detailed metabolic and genetic characterization reveals new associations for 30 known lipid loci, HUMAN MOLECULAR GENETICS, Vol: 21, Pages: 1444-1455, ISSN: 0964-6906
Hoggart CJ, O'Reilly PF, Kaakinen M, et al., 2012, Fine-Scale Estimation of Location of Birth from Genome-Wide Single-Nucleotide Polymorphism Data, GENETICS, Vol: 190, Pages: 669-U583, ISSN: 0016-6731
Gieger C, Radhakrishnan A, Cvejic A, et al., 2011, New gene functions in megakaryopoiesis and platelet formation, NATURE, Vol: 480, Pages: 201-208, ISSN: 0028-0836
Chambers JC, Zhang W, Sehmi J, et al., 2011, Genome-wide association study identifies loci influencing concentrations of liver enzymes in plasma, NATURE GENETICS, Vol: 43, Pages: 1131-1138, ISSN: 1061-4036
Ehret GB, Munroe PB, Rice KM, et al., 2011, Genetic variants in novel pathways influence blood pressure and cardiovascular disease risk, NATURE, Vol: 478, Pages: 103-109, ISSN: 0028-0836
Wain LV, Verwoert GC, O'Reilly PF, et al., 2011, Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure, NATURE GENETICS, Vol: 43, Pages: 1005-U122, ISSN: 1061-4036
Numerous genetic loci have been associated with systolic blood pressure (SBP) and diastolic blood pressure (DBP) in Europeans1,2,3. We now report genome-wide association studies of pulse pressure (PP) and mean arterial pressure (MAP). In discovery (N = 74,064) and follow-up studies (N = 48,607), we identified at genome-wide significance (P = 2.7 × 10−8 to P = 2.3 × 10−13) four new PP loci (at 4q12 near CHIC2, 7q22.3 near PIK3CG, 8q24.12 in NOV and 11q24.3 near ADAMTS8), two new MAP loci (3p21.31 in MAP4 and 10q25.3 near ADRB1) and one locus associated with both of these traits (2q24.3 near FIGN) that has also recently been associated with SBP in east Asians. For three of the new PP loci, the estimated effect for SBP was opposite of that for DBP, in contrast to the majority of common SBP- and DBP-associated variants, which show concordant effects on both traits. These findings suggest new genetic pathways underlying blood pressure variation, some of which may differentially influence SBP and DBP.
O'Reilly PF, Balding DJ, 2011, Admixture provides new insights into recombination, Nature Genetics, Pages: 819-820
Fox ER, Young JH, Li Y, et al., 2011, Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study., Human Molecular Genetics, Vol: 20, Pages: 2273-2284, ISSN: 1460-2083
The prevalence of hypertension in African Americans (AAs) is higher than in other US groups; yet, few have performed genome-wide association studies (GWASs) in AA. Among people of European descent, GWASs have identified genetic variants at 13 loci that are associated with blood pressure. It is unknown if these variants confer susceptibility in people of African ancestry. Here, we examined genome-wide and candidate gene associations with systolic blood pressure (SBP) and diastolic blood pressure (DBP) using the Candidate Gene Association Resource (CARe) consortium consisting of 8591 AAs. Genotypes included genome-wide single-nucleotide polymorphism (SNP) data utilizing the Affymetrix 6.0 array with imputation to 2.5 million HapMap SNPs and candidate gene SNP data utilizing a 50K cardiovascular gene-centric array (ITMAT-Broad-CARe [IBC] array). For Affymetrix data, the strongest signal for DBP was rs10474346 (P= 3.6 × 10(-8)) located near GPR98 and ARRDC3. For SBP, the strongest signal was rs2258119 in C21orf91 (P= 4.7 × 10(-8)). The top IBC association for SBP was rs2012318 (P= 6.4 × 10(-6)) near SLC25A42 and for DBP was rs2523586 (P= 1.3 × 10(-6)) near HLA-B. None of the top variants replicated in additional AA (n = 11 882) or European-American (n = 69 899) cohorts. We replicated previously reported European-American blood pressure SNPs in our AA samples (SH2B3, P= 0.009; TBX3-TBX5, P= 0.03; and CSK-ULK3, P= 0.0004). These genetic loci represent the best evidence of genetic influences on SBP and DBP in AAs to date. More broadly, this work supports that notion that blood pressure among AAs is a trait with genetic underpinnings but also with significant complexity.
Schumann G, Coin LJ, Lourdusamy A, et al., 2011, Genome-wide association and genetic functional studies identify autism susceptibility candidate 2 gene (AUTS2) in the regulation of alcohol consumption (vol 108, pg 7119, 2011), PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, Vol: 108, Pages: 9316-9316, ISSN: 0027-8424
Kraja AT, Vaidya D, Pankow JS, et al., 2011, A bivariate genome-wide approach to metabolic syndrome STAMPEED consortium, Diabetes, Vol: 60, Pages: 1329-1339, ISSN: 0012-1797
OBJECTIVE The metabolic syndrome (MetS) is defined as concomitant disorders of lipid and glucose metabolism, central obesity, and high blood pressure, with an increased risk of type 2 diabetes and cardiovascular disease. This study tests whether common genetic variants with pleiotropic effects account for some of the correlated architecture among five metabolic phenotypes that define MetS.RESEARCH DESIGN AND METHODS Seven studies of the STAMPEED consortium, comprising 22,161 participants of European ancestry, underwent genome-wide association analyses of metabolic traits using a panel of ∼2.5 million imputed single nucleotide polymorphisms (SNPs). Phenotypes were defined by the National Cholesterol Education Program (NCEP) criteria for MetS in pairwise combinations. Individuals exceeding the NCEP thresholds for both traits of a pair were considered affected.RESULTS Twenty-nine common variants were associated with MetS or a pair of traits. Variants in the genes LPL, CETP, APOA5 (and its cluster), GCKR (and its cluster), LIPC, TRIB1, LOC100128354/MTNR1B, ABCB11, and LOC100129150 were further tested for their association with individual qualitative and quantitative traits. None of the 16 top SNPs (one per gene) associated simultaneously with more than two individual traits. Of them 11 variants showed nominal associations with MetS per se. The effects of 16 top SNPs on the quantitative traits were relatively small, together explaining from ∼9% of the variance in triglycerides, 5.8% of high-density lipoprotein cholesterol, 3.6% of fasting glucose, and 1.4% of systolic blood pressure.CONCLUSIONS Qualitative and quantitative pleiotropic tests on pairs of traits indicate that a small portion of the covariation in these traits can be explained by the reported common genetic variants.
Kilpelaeinen TO, den Hoed M, Ong KK, et al., 2011, Obesity-susceptibility loci have a limited influence on birth weight: a meta-analysis of up to 28,219 individuals, AMERICAN JOURNAL OF CLINICAL NUTRITION, Vol: 93, Pages: 851-860, ISSN: 0002-9165
Tabara Y, Kohara K, Kita Y, et al., 2010, Common Variants in the ATP2B1 Gene Are Associated With Susceptibility to Hypertension The Japanese Millennium Genome Project, HYPERTENSION, Vol: 56, Pages: 973-U533, ISSN: 0194-911X
Ikram MK, Sim X, Jensen RA, et al., 2010, Four novel Loci (19q13, 6q24, 12q24, and 5q14) influence the microcirculation in vivo., PLOS Genetics, Vol: 6, ISSN: 1553-7390
There is increasing evidence that the microcirculation plays an important role in the pathogenesis of cardiovascular diseases. Changes in retinal vascular caliber reflect early microvascular disease and predict incident cardiovascular events. We performed a genome-wide association study to identify genetic variants associated with retinal vascular caliber. We analyzed data from four population-based discovery cohorts with 15,358 unrelated Caucasian individuals, who are members of the Cohort for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium, and replicated findings in four independent Caucasian cohorts (n = 6,652). All participants had retinal photography and retinal arteriolar and venular caliber measured from computer software. In the discovery cohorts, 179 single nucleotide polymorphisms (SNP) spread across five loci were significantly associated (p<5.0×10(-8)) with retinal venular caliber, but none showed association with arteriolar caliber. Collectively, these five loci explain 1.0%-3.2% of the variation in retinal venular caliber. Four out of these five loci were confirmed in independent replication samples. In the combined analyses, the top SNPs at each locus were: rs2287921 (19q13; p = 1.61×10(-25), within the RASIP1 locus), rs225717 (6q24; p = 1.25×10(-16), adjacent to the VTA1 and NMBR loci), rs10774625 (12q24; p = 2.15×10(-13), in the region of ATXN2,SH2B3 and PTPN11 loci), and rs17421627 (5q14; p = 7.32×10(-16), adjacent to the MEF2C locus). In two independent samples, locus 12q24 was also associated with coronary heart disease and hypertension. Our population-based genome-wide association study demonstrates four novel loci associated with retinal venular caliber, an endophenotype of the microcirculation associated with clinical cardiovascular disease. These data provide further insights into the contribution and biological mechanisms of microcirculatory changes that underlie cardiovascular dis
Wang TJ, Zhang F, Richards JB, et al., 2010, Common genetic determinants of vitamin D insufficiency: a genome-wide association study, LANCET, Vol: 376, Pages: 180-188, ISSN: 0140-6736
Freathy RM, Mook-Kanamori DO, Sovio U, et al., 2010, Variants in ADCY5 and near CCNL1 are associated with fetal growth and birth weight, NATURE GENETICS, Vol: 42, Pages: 430-U73, ISSN: 1061-4036
O'Reilly PF, Coin LJM, Hoggart CJ, 2010, invertFREGENE: software for simulating inversions in population genetic data, BIOINFORMATICS, Vol: 26, Pages: 838-840, ISSN: 1367-4803
Pillas D, Hoggart CJ, Evans DM, et al., 2010, Genome-Wide Association Study Reveals Multiple Loci Associated with Primary Tooth Development during Infancy, PLOS Genetics, Vol: 6, ISSN: 1553-7390
Tooth development is a highly heritable process which relates to other growth and developmental processes, and which interacts with the development of the entire craniofacial complex. Abnormalities of tooth development are common, with tooth agenesis being the most common developmental anomaly in humans. We performed a genome-wide association study of time to first tooth eruption and number of teeth at one year in 4,564 individuals from the 1966 Northern Finland Birth Cohort (NFBC1966) and 1,518 individuals from the Avon Longitudinal Study of Parents and Children (ALSPAC). We identified 5 loci at P<5×10−8, and 5 with suggestive association (P<5×10−6). The loci included several genes with links to tooth and other organ development (KCNJ2, EDA, HOXB2, RAD51L1, IGF2BP1, HMGA2, MSRB3). Genes at four of the identified loci are implicated in the development of cancer. A variant within the HOXB gene cluster associated with occlusion defects requiring orthodontic treatment by age 31 years.
Newton-Cheh C, Johnson T, Gateva V, et al., 2009, Genome-wide association study identifies eight loci associated with blood pressure, Nature Genetics, Vol: 41, Pages: 666-676, ISSN: 1061-4036
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 2.5 million 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 eight 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.
Sovio U, Bennett AJ, Millwood IY, et al., 2009, Genetic Determinants of Height Growth Assessed Longitudinally from Infancy to Adulthood in the Northern Finland Birth Cohort 1966, PLOS Genetics, Vol: 5, ISSN: 1553-7390
Recent genome-wide association (GWA) studies have identified dozens of common variants associated with adult height. However, it is unknown how these variants influence height growth during childhood. We derived peak height velocity in infancy (PHV1) and puberty (PHV2) and timing of pubertal height growth spurt from parametric growth curves fitted to longitudinal height growth data to test their association with known height variants. The study consisted of N = 3,538 singletons from the prospective Northern Finland Birth Cohort 1966 with genotype data and frequent height measurements (on average 20 measurements per person) from 0–20 years. Twenty-six of the 48 variants tested associated with adult height (p<0.05, adjusted for sex and principal components) in this sample, all in the same direction as in previous GWA scans. Seven SNPs in or near the genes HHIP, DLEU7, UQCC, SF3B4/SV2A, LCORL, and HIST1H1D associated with PHV1 and five SNPs in or near SOCS2, SF3B4/SV2A, C17orf67, CABLES1, and DOT1L with PHV2 (p<0.05). We formally tested variants for interaction with age (infancy versus puberty) and found biologically meaningful evidence for an age-dependent effect for the SNP in SOCS2 (p = 0.0030) and for the SNP in HHIP (p = 0.045). We did not have similar prior evidence for the association between height variants and timing of pubertal height growth spurt as we had for PHVs, and none of the associations were statistically significant after correction for multiple testing. The fact that in this sample, less than half of the variants associated with adult height had a measurable effect on PHV1 or PHV2 is likely to reflect limited power to detect these associations in this dataset. Our study is the first genetic association analysis on longitudinal height growth in a prospective cohort from birth to adulthood and gives grounding for future research on the genetic regulation of human height during different periods of growth.
Chadeau-Hyam M, Hoggart CJ, O'Reilly PF, et al., 2008, Fregene: Simulation of realistic sequence-level data in populations and ascertained samples, BMC BIOINFORMATICS, Vol: 9, ISSN: 1471-2105
O'Reilly PF, Birney E, Balding DJ, 2008, Confounding between recombination and selection, and the Ped/Pop method for detecting selection, GENOME RESEARCH, Vol: 18, Pages: 1304-1313, ISSN: 1088-9051
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