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The CARDIoGRAMplusC4D Consortium,
Panos Deloukas,
Stavroula Kanoni,
Christina Willenborg,
Martin Farrall,
Themistocles L Assimes,
John R Thompson,
Erik Ingelsson,
Danish Saleheen,
Jeanette Erdmann, [......],
Sekar Kathiresan,
Anders Hamsten,
Jaspal S Kooner,
Unnur Thorsteinsdottir,
John Danesh,
Colin N A Palmer,
Robert Roberts,
Hugh Watkins,
Heribert Schunkert,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r(2) < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
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The CARDIoGRAMplusC4D Consortium,
Panos Deloukas,
Stavroula Kanoni,
Christina Willenborg,
Martin Farrall,
Themistocles L Assimes,
John R Thompson,
Erik Ingelsson,
Danish Saleheen,
Jeanette Erdmann, [......],
Anders Hamsten,
Jaspal S Kooner,
Unnur Thorsteinsdottir,
John Danesh,
Colin N A Palmer,
Robert Roberts,
Hugh Watkins,
Heribert Schunkert,
Nilesh J Samani,
Klaus Stark
[show abstract]
[hide abstract]
ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
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The CARDIoGRAMplusC4D Consortium,
Panos Deloukas,
Stavroula Kanoni,
Christina Willenborg,
Martin Farrall,
Themistocles L Assimes,
John R Thompson,
Erik Ingelsson,
Danish Saleheen,
Jeanette Erdmann, [......],
Sekar Kathiresan,
Anders Hamsten,
Jaspal S Kooner,
Unnur Thorsteinsdottir,
John Danesh,
Colin N A Palmer,
Robert Roberts,
Hugh Watkins,
Heribert Schunkert,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: Coronary artery disease (CAD) is the commonest cause of death. Here, we report an association analysis in 63,746 CAD cases and 130,681 controls identifying 15 loci reaching genome-wide significance, taking the number of susceptibility loci for CAD to 46, and a further 104 independent variants (r2 < 0.2) strongly associated with CAD at a 5% false discovery rate (FDR). Together, these variants explain approximately 10.6% of CAD heritability. Of the 46 genome-wide significant lead SNPs, 12 show a significant association with a lipid trait, and 5 show a significant association with blood pressure, but none is significantly associated with diabetes. Network analysis with 233 candidate genes (loci at 10% FDR) generated 5 interaction networks comprising 85% of these putative genes involved in CAD. The four most significant pathways mapping to these networks are linked to lipid metabolism and inflammation, underscoring the causal role of these activities in the genetic etiology of CAD. Our study provides insights into the genetic basis of CAD and identifies key biological pathways.
Nature Genetics 12/2012; 45(1):25. · 35.53 Impact Factor
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Folkert W Asselbergs,
Yiran Guo,
Erik P A van Iperen,
Suthesh Sivapalaratnam,
Vinicius Tragante,
Matthew B Lanktree,
Leslie A Lange,
Berta Almoguera,
Yolande E Appelman,
John Barnard, [......],
Nilesh J Samani,
Alex P Reiner,
Robert A Hegele,
John J P Kastelein,
Aroon D Hingorani,
Philippa J Talmud,
Hakon Hakonarson,
Clara C Elbers,
Brendan J Keating,
Fotios Drenos
[show abstract]
[hide abstract]
ABSTRACT: Genome-wide association studies (GWASs) have identified many SNPs underlying variations in plasma-lipid levels. We explore whether additional loci associated with plasma-lipid phenotypes, such as high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), total cholesterol (TC), and triglycerides (TGs), can be identified by a dense gene-centric approach. Our meta-analysis of 32 studies in 66,240 individuals of European ancestry was based on the custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) covering ∼2,000 candidate genes. SNP-lipid associations were replicated either in a cohort comprising an additional 24,736 samples or within the Global Lipid Genetic Consortium. We identified four, six, ten, and four unreported SNPs in established lipid genes for HDL-C, LDL-C, TC, and TGs, respectively. We also identified several lipid-related SNPs in previously unreported genes: DGAT2, HCAR2, GPIHBP1, PPARG, and FTO for HDL-C; SOCS3, APOH, SPTY2D1, BRCA2, and VLDLR for LDL-C; SOCS3, UGT1A1, BRCA2, UBE3B, FCGR2A, CHUK, and INSIG2 for TC; and SERPINF2, C4B, GCK, GATA4, INSR, and LPAL2 for TGs. The proportion of explained phenotypic variance in the subset of studies providing individual-level data was 9.9% for HDL-C, 9.5% for LDL-C, 10.3% for TC, and 8.0% for TGs. This large meta-analysis of lipid phenotypes with the use of a dense gene-centric approach identified multiple SNPs not previously described in established lipid genes and several previously unknown loci. The explained phenotypic variance from this approach was comparable to that from a meta-analysis of GWAS data, suggesting that a focused genotyping approach can further increase the understanding of heritability of plasma lipids.
The American Journal of Human Genetics 10/2012; · 10.60 Impact Factor
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Journal of Cardiovascular Magnetic Resonance 04/2012; 13:1-2. · 3.72 Impact Factor
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Richa Saxena,
Clara C Elbers,
Yiran Guo,
Inga Peter,
Tom R Gaunt,
Jessica L Mega,
Matthew B Lanktree,
Archana Tare,
Berta Almoguera Castillo,
Yun R Li, [......],
Paul I W de Bakker,
Jeanne McCaffery,
Cisca Wijmenga,
Marc S Sabatine,
James G Wilson,
Alex Reiner,
Donald W Bowden,
Hakon Hakonarson,
David S Siscovick,
Brendan J Keating
[show abstract]
[hide abstract]
ABSTRACT: To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom ∼50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with ∼2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 × 10(-9)) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 × 10(-6)). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 × 10(-7)) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 × 10(-15)). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 × 10(-8)). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups.
The American Journal of Human Genetics 02/2012; 90(3):410-25. · 10.60 Impact Factor
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[show abstract]
[hide abstract]
ABSTRACT: The purpose of this study was to assess the functional significance of cardiac magnetic resonance (CMR) measures of left ventricular (LV) remodeling and myocardial perfusion reserve (MPR) in patients with severe aortic stenosis (AS), without obstructive coronary artery disease.
Measures of stenosis severity do not correlate well with exercise intolerance in AS. LV remodeling in AS is associated with myocardial fibrosis and impaired MPR. The functional significance and determinants of MPR in AS are unclear.
Forty-six patients with isolated severe AS were prospectively studied before aortic valve replacement. The following investigations were undertaken: cardiopulmonary exercise testing to measure aerobic exercise capacity (peak VO(2)); CMR to assess left ventricular mass index (LVMI), myocardial fibrosis with late gadolinium enhancement (LGE), myocardial blood flow (MBF), and MPR; and transthoracic echocardiography to assess stenosis severity and diastolic function.
Peak VO(2) was associated with sex (β = -0.41), age (β = -0.32), MPR (β = 0.45), resting MBF (β = -0.53), and septal transmitral flow velocity to annular velocity ratio (E/E') (β = -0.34), but not with LVMI, LGE, or echocardiographic measures of AS severity. On stepwise regression analysis, only MPR was independently associated with age- and sex-corrected peak VO(2) (β = 0.46, p = 0.001). MPR was also inversely related to New York Heart Association functional class (p = 0.001). Univariate associations with MPR were sex (β = 0.38, p = 0.02), septal E/E' (β = -0.30, p = 0.03), peak aortic valve velocity (β = -0.34, p = 0.02), LVMI (β = -0.51, p < 0.001), and LGE category (β = -0.46, p = 0.002). On multivariate analysis, LVMI and LGE were independently associated with MPR.
CMR-quantified MPR is independently associated with aerobic exercise capacity in severe AS. LV remodeling appears to be a more important determinant of impaired MPR than stenosis severity per se. Further work is required to determine how CMR assessment of MPR can aid clinical management of patients with AS.
JACC. Cardiovascular imaging 02/2012; 5(2):182-9. · 14.29 Impact Factor
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Maciej Tomaszewski,
Fadi J Charchar,
Christopher P Nelson,
Timothy Barnes,
Matthew Denniff,
Michael Kaiser,
Radoslaw Debiec,
Paraskevi Christofidou, Suzanne Rafelt,
Pim van der Harst,
William Y S Wang,
Christine Maric,
Ewa Zukowska-Szczechowska,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: Variants in the gene encoding fibroblast growth factor 1 (FGF1) co-segregate with familial susceptibility to hypertension, and glomerular upregulation of FGF1 associates with hypertension. To investigate whether variants in other members of the FGF signaling pathway may also associate with hypertension, we genotyped 629 subjects from 207 Polish families with hypertension for 79 single nucleotide polymorphisms in eight genes of this network. Family-based analysis showed that parents transmitted the major allele of the rs16892645 polymorphism in the gene encoding FGF binding protein 1 (FGFBP1) to hypertensive offspring more frequently than expected by chance (P=0.005). An independent cohort of 807 unrelated Polish subjects validated this association. Furthermore, compared with normotensive subjects, hypertensive subjects had approximately 1.5- and 1.4-fold higher expression of renal FGFBP1 mRNA and protein (P=0.04 and P=0.001), respectively. By immunohistochemistry, hypertension-related upregulation of FGFBP1 was most apparent in the glomerulus and juxtaglomerular space. Taken together, these data suggest that FGFBP1 associates with hypertension and that systematic analysis of signaling pathways can identify previously undescribed genetic associations.
Journal of the American Society of Nephrology 03/2011; 22(5):947-55. · 9.66 Impact Factor
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Matthew B Lanktree,
Yiran Guo,
Muhammed Murtaza,
Joseph T Glessner,
Swneke D Bailey,
N Charlotte Onland-Moret,
Guillaume Lettre,
Halit Ongen,
Ramakrishnan Rajagopalan,
Toby Johnson, [......],
Wolfgang Koenig,
Tom R Gaunt,
Sonia S Anand,
Yvonne T van der Schouw,
Nicole Soranzo,
Garret A Fitzgerald,
Alex Reiner,
Robert A Hegele,
Hakon Hakonarson,
Brendan J Keating
[show abstract]
[hide abstract]
ABSTRACT: Height is a classic complex trait with common variants in a growing list of genes known to contribute to the phenotype. Using a genecentric genotyping array targeted toward cardiovascular-related loci, comprising 49,320 SNPs across approximately 2000 loci, we evaluated the association of common and uncommon SNPs with adult height in 114,223 individuals from 47 studies and six ethnicities. A total of 64 loci contained a SNP associated with height at array-wide significance (p < 2.4 × 10(-6)), with 42 loci surpassing the conventional genome-wide significance threshold (p < 5 × 10(-8)). Common variants with minor allele frequencies greater than 5% were observed to be associated with height in 37 previously reported loci. In individuals of European ancestry, uncommon SNPs in IL11 and SMAD3, which would not be genotyped with the use of standard genome-wide genotyping arrays, were strongly associated with height (p < 3 × 10(-11)). Conditional analysis within associated regions revealed five additional variants associated with height independent of lead SNPs within the locus, suggesting allelic heterogeneity. Although underpowered to replicate findings from individuals of European ancestry, the direction of effect of associated variants was largely consistent in African American, South Asian, and Hispanic populations. Overall, we show that dense coverage of genes for uncommon SNPs, coupled with large-scale meta-analysis, can successfully identify additional variants associated with a common complex trait.
The American Journal of Human Genetics 01/2011; 88(1):6-18. · 10.60 Impact Factor
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Bernhard M Kaess,
Maciej Tomaszewski,
Peter S Braund,
Klaus Stark, Suzanne Rafelt,
Marcus Fischer,
Robert Hardwick,
Christopher P Nelson,
Radoslaw Debiec,
Fritz Huber,
Werner Kremer,
Hans Robert Kalbitzer,
Lynda M Rose,
Daniel I Chasman,
Jemma Hopewell,
Robert Clarke,
Paul R Burton,
Martin D Tobin,
Christian Hengstenberg,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: HDL cholesterol (HDL-C) is an established marker of cardiovascular risk with significant genetic determination. However, HDL particles are not homogenous, and refined HDL phenotyping may improve insight into regulation of HDL metabolism. We therefore assessed HDL particles by NMR spectroscopy and conducted a large-scale candidate gene association analysis.
We measured plasma HDL-C and determined mean HDL particle size and particle number by NMR spectroscopy in 2024 individuals from 512 British Caucasian families. Genotypes were 49,094 SNPs in >2,100 cardiometabolic candidate genes/loci as represented on the HumanCVD BeadChip version 2. False discovery rates (FDR) were calculated to account for multiple testing. Analyses on classical HDL-C revealed significant associations (FDR<0.05) only for CETP (cholesteryl ester transfer protein; lead SNP rs3764261: p = 5.6*10(-15)) and SGCD (sarcoglycan delta; rs6877118: p = 8.6*10(-6)). In contrast, analysis with HDL mean particle size yielded additional associations in LIPC (hepatic lipase; rs261332: p = 6.1*10(-9)), PLTP (phospholipid transfer protein, rs4810479: p = 1.7*10(-8)) and FBLN5 (fibulin-5; rs2246416: p = 6.2*10(-6)). The associations of SGCD and Fibulin-5 with HDL particle size could not be replicated in PROCARDIS (n = 3,078) and/or the Women's Genome Health Study (n = 23,170).
We show that refined HDL phenotyping by NMR spectroscopy can detect known genes of HDL metabolism better than analyses on HDL-C.
PLoS ONE 01/2011; 6(1):e14529. · 4.09 Impact Factor
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Maciej Tomaszewski,
Radoslaw Debiec,
Peter S Braund,
Christopher P Nelson,
Robert Hardwick,
Paraskevi Christofidou,
Matthew Denniff,
Veryan Codd, Suzanne Rafelt,
Pim van der Harst, [......],
Kijoung Song,
Peter Vollenweider,
Gerard Waeber,
Ewa Zukowska-Szczechowska,
Paul R Burton,
Vincent Mooser,
Fadi J Charchar,
John R Thompson,
Martin D Tobin,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: Genetic determinants of blood pressure are poorly defined. We undertook a large-scale, gene-centric analysis to identify loci and pathways associated with ambulatory systolic and diastolic blood pressure. We measured 24-hour ambulatory blood pressure in 2020 individuals from 520 white European nuclear families (the Genetic Regulation of Arterial Pressure of Humans in the Community Study) and genotyped their DNA using the Illumina HumanCVD BeadChip array, which contains ≈ 50 000 single nucleotide polymorphisms in >2000 cardiovascular candidate loci. We found a strong association between rs13306560 polymorphism in the promoter region of MTHFR and CLCN6 and mean 24-hour diastolic blood pressure; each minor allele copy of rs13306560 was associated with 2.6 mm Hg lower mean 24-hour diastolic blood pressure (P = 1.2 × 10⁻⁸). rs13306560 was also associated with clinic diastolic blood pressure in a combined analysis of 8129 subjects from the Genetic Regulation of Arterial Pressure of Humans in the Community Study, the CoLaus Study, and the Silesian Cardiovascular Study (P=5.4 × 10⁻⁶). Additional analysis of associations between variants in gene ontology-defined pathways and mean 24-hour blood pressure in the Genetic Regulation of Arterial Pressure of Humans in the Community Study showed that cell survival control signaling cascades could play a role in blood pressure regulation. There was also a significant overrepresentation of rare variants (minor allele frequency: < 0.05) among polymorphisms showing at least nominal association with mean 24-hour blood pressure indicating that a considerable proportion of its heritability may be explained by uncommon alleles. Through a large-scale gene-centric analysis of ambulatory blood pressure, we identified an association of a novel variant at the MTHFR/CLNC6 locus with diastolic blood pressure and provided new insights into the genetic architecture of blood pressure.
Hypertension 11/2010; 56(6):1069-76. · 6.21 Impact Factor
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Elizabeth K Speliotes,
Cristen J Willer,
Sonja I Berndt,
Keri L Monda,
Gudmar Thorleifsson,
Anne U Jackson,
Hana Lango Allen,
Cecilia M Lindgren,
Jian'an Luan,
Reedik Mägi, [......],
Unnur Thorsteinsdottir,
Gonçalo R Abecasis,
Inês Barroso,
Michael Boehnke,
Kari Stefansson,
Kari E North,
Mark I McCarthy,
Joel N Hirschhorn,
Erik Ingelsson,
Ruth J F Loos
[show abstract]
[hide abstract]
ABSTRACT: Obesity is globally prevalent and highly heritable, but its underlying genetic factors remain largely elusive. To identify genetic loci for obesity susceptibility, we examined associations between body mass index and ∼ 2.8 million SNPs in up to 123,865 individuals with targeted follow up of 42 SNPs in up to 125,931 additional individuals. We confirmed 14 known obesity susceptibility loci and identified 18 new loci associated with body mass index (P < 5 × 10⁻⁸), one of which includes a copy number variant near GPRC5B. Some loci (at MC4R, POMC, SH2B1 and BDNF) map near key hypothalamic regulators of energy balance, and one of these loci is near GIPR, an incretin receptor. Furthermore, genes in other newly associated loci may provide new insights into human body weight regulation.
Nature Genetics 10/2010; 42(11):937-48. · 35.53 Impact Factor
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Hana Lango Allen,
Karol Estrada,
Guillaume Lettre,
Sonja I Berndt,
Michael N Weedon,
Fernando Rivadeneira,
Cristen J Willer,
Anne U Jackson,
Sailaja Vedantam,
Soumya Raychaudhuri, [......],
Nilanjan Chatterjee,
Ruth J F Loos,
Michael Boehnke,
Mark I McCarthy,
Erik Ingelsson,
Cecilia M Lindgren,
Gonçalo R Abecasis,
Kari Stefansson,
Timothy M Frayling,
Joel N Hirschhorn
[show abstract]
[hide abstract]
ABSTRACT: Most common human traits and diseases have a polygenic pattern of inheritance: DNA sequence variants at many genetic loci influence the phenotype. Genome-wide association (GWA) studies have identified more than 600 variants associated with human traits, but these typically explain small fractions of phenotypic variation, raising questions about the use of further studies. Here, using 183,727 individuals, we show that hundreds of genetic variants, in at least 180 loci, influence adult height, a highly heritable and classic polygenic trait. The large number of loci reveals patterns with important implications for genetic studies of common human diseases and traits. First, the 180 loci are not random, but instead are enriched for genes that are connected in biological pathways (P = 0.016) and that underlie skeletal growth defects (P < 0.001). Second, the likely causal gene is often located near the most strongly associated variant: in 13 of 21 loci containing a known skeletal growth gene, that gene was closest to the associated variant. Third, at least 19 loci have multiple independently associated variants, suggesting that allelic heterogeneity is a frequent feature of polygenic traits, that comprehensive explorations of already-discovered loci should discover additional variants and that an appreciable fraction of associated loci may have been identified. Fourth, associated variants are enriched for likely functional effects on genes, being over-represented among variants that alter amino-acid structure of proteins and expression levels of nearby genes. Our data explain approximately 10% of the phenotypic variation in height, and we estimate that unidentified common variants of similar effect sizes would increase this figure to approximately 16% of phenotypic variation (approximately 20% of heritable variation). Although additional approaches are needed to dissect the genetic architecture of polygenic human traits fully, our findings indicate that GWA studies can identify large numbers of loci that implicate biologically relevant genes and pathways.
Nature 09/2010; 467(7317):832-8. · 36.28 Impact Factor
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Veryan Codd,
Massimo Mangino,
Pim van der Harst,
Peter S Braund,
Michael Kaiser,
Alan J Beveridge, Suzanne Rafelt,
Jasbir Moore,
Chris Nelson,
Nicole Soranzo, [......],
Willem Ouwehand,
Dirk J van Veldhuisen,
Wiek H van Gilst,
Gerjan Navis,
Paul R Burton,
Martin D Tobin,
Alistair S Hall,
John R Thompson,
Tim Spector,
Nilesh J Samani
[show abstract]
[hide abstract]
ABSTRACT: We conducted genome-wide association analyses of mean leukocyte telomere length in 2,917 individuals, with follow-up replication in 9,492 individuals. We identified an association with telomere length on 3q26 (rs12696304, combined P = 3.72 x 10(-14)) at a locus that includes TERC, which encodes the telomerase RNA component. Each copy of the minor allele of rs12696304 was associated with an approximately 75-base-pair reduction in mean telomere length, equivalent to approximately 3.6 years of age-related telomere-length attrition.
Nature Genetics 02/2010; 42(3):197-9. · 35.53 Impact Factor
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Christopher M. Knapp MD,
Irene Gottlob MD,
Rebecca J. McLean MD,
Yusuf A. Rajabally MD,
Richard J. Abbott MD,
Suzanne Rafelt BSc,
Frank A. Proudlock PhD,
Christopher M. Knapp,
Irene Gottlob,
Rebecca J. McLean,
Yusuf A. Rajabally,
Richard J. Abbott, Suzanne Rafelt,
Frank A. Proudlock
[show abstract]
[hide abstract]
ABSTRACT: Parkinson's disease (PD) is associated with a number of oculomotor deficits; however, little is known about changes in vertical optokinetic nystagmus (OKN) associated with PD. We recorded eye movements in 14 PD patients and 14 age-matched controls in response to large field OKN stimulation using stimulus velocities of 20°/second and 40°/second. We compared asymmetry of horizontal and vertical responses in the two groups. We found vertical OKN to be strongly asymmetric in PD with reduced gains for downward-moving stimuli. This asymmetry was significantly greater than that recorded in control volunteers. We postulate that this could result from an abnormal pursuit/early OKN system in PD leading to greater influence of the delayed OKN system. © 2009 Movement Disorder Society
Movement Disorders 07/2009; 24(10):1533 - 1538. · 4.51 Impact Factor
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[show abstract]
[hide abstract]
ABSTRACT: Parkinson's disease (PD) is associated with a number of oculomotor deficits; however, little is known about changes in vertical optokinetic nystagmus (OKN) associated with PD. We recorded eye movements in 14 PD patients and 14 age-matched controls in response to large field OKN stimulation using stimulus velocities of 20 degrees /second and 40 degrees /second. We compared asymmetry of horizontal and vertical responses in the two groups. We found vertical OKN to be strongly asymmetric in PD with reduced gains for downward-moving stimuli. This asymmetry was significantly greater than that recorded in control volunteers. We postulate that this could result from an abnormal pursuit/early OKN system in PD leading to greater influence of the delayed OKN system.
Movement Disorders 07/2009; 24(10):1533-8. · 4.51 Impact Factor
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Elizabeth K Speliotes,
Cristen J Willer,
Sonja I Berndt,
Keri L Monda,
Gudmar Thorleifsson,
Anne U Jackson,
Hana Lango Allen,
Cecilia M Lindgren,
Jian'an Luan,
Reedik Mägi, [......],
Unnur Thorsteinsdottir,
Gonçalo R Abecasis,
Inês Barroso,
Michael Boehnke,
Kari Stefansson,
Kari E North,
Mark I McCarthy,
Joel N Hirschhorn,
Erik Ingelsson,
Ruth J F Loos
-
Veryan Codd,
Massimo Mangino,
Pim van der Harst,
Peter S Braund,
Michael Kaiser,
Alan J. Beveridge, Suzanne Rafelt,
Nicole Soranzo,
Guangju Zhai,
Ana M Valdes,
Hannah Blackburn,
Irene Mateo Leach,
Rudolf A de Boer,
Masayuki Kimura,
Abraham Aviv,
Wellcome Trust Case Control Consortium,
Matthew Arthur Brown,
Linda A. Bradbury,
Jennifer J Pointon,
et al
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Richa Saxena,
Clara C Elbers,
Yiran Guo,
Inga Peter,
Tom R Gaunt,
Jessica L Mega,
Matthew B Lanktree,
Archana Tare,
Berta Almoguera Castillo,
Yun R Li, [......],
Paul I W,
Jeanne McCaffery,
Cisca Wijmenga,
Marc S Sabatine,
James G Wilson,
Alex Reiner,
Donald W Bowden,
Hakon Hakonarson,
David S Siscovick,
Brendan J Keating
[show abstract]
[hide abstract]
ABSTRACT: To identify genetic factors contributing to type 2 diabetes (T2D), we performed large-scale meta-analyses by using a custom <50,000 SNP genotyping array (the ITMAT-Broad-CARe array) with <2000 candidate genes in 39 multiethnic population-based studies, case-control studies, and clinical trials totaling 17,418 cases and 70,298 controls. First, meta-analysis of 25 studies comprising 14,073 cases and 57,489 controls of European descent confirmed eight established T2D loci at genome-wide significance. In silico follow-up analysis of putative association signals found in independent genome-wide association studies (including 8,130 cases and 38,987 controls) performed by the DIAGRAM consortium identified a T2D locus at genome-wide significance (GATAD2A/CILP2/PBX4; p = 5.7 × 10�9) and two loci exceeding study-wide significance (SREBF1, and TH/INS; p < 2.4 × 10�6). Second, meta-analyses of 1,986 cases and 7,695 controls from eight African-American studies identified study-wide-significant (p = 2.4 × 10�7) variants in HMGA2 and replicated variants in TCF7L2 (p = 5.1 × 10�15). Third, conditional analysis revealed multiple known and novel independent signals within five T2D-associated genes in samples of European ancestry and within HMGA2 in African-American samples. Fourth, a multiethnic meta-analysis of all 39 studies identified T2D-associated variants in BCL2 (p = 2.1 × 10�8). Finally, a composite genetic score of SNPs from new and established T2D signals was significantly associated with increased risk of diabetes in African-American, Hispanic, and Asian populations. In summary, large-scale meta-analysis involving a dense gene-centric approach has uncovered additional loci and variants that contribute to T2D risk and suggests substantial overlap of T2D association signals across multiple ethnic groups.
American journal of human genetics.
