Alistair S Hall |
|
|
|
University of Leeds
·
Leeds Institute of Genetics, Health and Therapeutics (LIGHT)
|
Publications (231) View all
-
Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture.
Sonja I Berndt, Stefan Gustafsson, Reedik Mägi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, André Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson[show abstract] [hide abstract]
ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.Nature Genetics 04/2013; · 35.53 Impact Factor -
Article: Genome-wide meta-analysis identifies 11 new loci for anthropometric traits and provides insights into genetic architecture
Sonja I Berndt, Stefan Gustafsson, Reedik Magi, Andrea Ganna, Eleanor Wheeler, Mary F Feitosa, Anne E Justice, Keri L Monda, Damien C Croteau-Chonka, Felix R Day, [......], Joel N Hirschhorn, Cecilia M Lindgren, Andrew P Morris, David Meyre, Andre Scherag, Mark I McCarthy, Elizabeth K Speliotes, Kari E North, Ruth J F Loos, Erik Ingelsson[show abstract] [hide abstract]
ABSTRACT: Approaches exploiting trait distribution extremes may be used to identify loci associated with common traits, but it is unknown whether these loci are generalizable to the broader population. In a genome-wide search for loci associated with the upper versus the lower 5th percentiles of body mass index, height and waist-to-hip ratio, as well as clinical classes of obesity, including up to 263,407 individuals of European ancestry, we identified 4 new loci (IGFBP4, H6PD, RSRC1 and PPP2R2A) influencing height detected in the distribution tails and 7 new loci (HNF4G, RPTOR, GNAT2, MRPS33P4, ADCY9, HS6ST3 and ZZZ3) for clinical classes of obesity. Further, we find a large overlap in genetic structure and the distribution of variants between traits based on extremes and the general population and little etiological heterogeneity between obesity subgroups.Nature Genetics 04/2013; · 35.53 Impact Factor -
Article: Identification of seven loci affecting mean telomere length and their association with disease.
Veryan Codd, Christopher P Nelson, Eva Albrecht, Massimo Mangino, Joris Deelen, Jessica L Buxton, Jouke Jan Hottenga, Krista Fischer, Tõnu Esko, Ida Surakka, [......], Iiris Hovatta, Christian Gieger, Andres Metspalu, Dorret I Boomsma, Marjo-Riitta Jarvelin, P Eline Slagboom, John R Thompson, Tim D Spector, Pim van der Harst, Nilesh J Samani[show abstract] [hide abstract]
ABSTRACT: 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 × 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.Nature Genetics 03/2013; 45(4):422-427. · 35.53 Impact Factor -
Article: Genetic Predisposition to Higher Blood Pressure Increases Coronary Artery Disease Risk.
Wolfgang Lieb, Henning Jansen, Christina Loley, Michael J Pencina, Christopher P Nelson, Christopher Newton-Cheh, Sekar Kathiresan, Muredach P Reilly, Themistocles L Assimes, Eric Boerwinkle, [......], Ruth McPherson, Unnur Thorsteinsdottir, Andreas Ziegler, Annette Peters, John R Thompson, Inke R König, Jeanette Erdmann, Nilesh J Samani, Ramachandran S Vasan, Heribert Schunkert[show abstract] [hide abstract]
ABSTRACT: Hypertension is a risk factor for coronary artery disease. Recent genome-wide association studies have identified 30 genetic variants associated with higher blood pressure at genome-wide significance (P<5×10-8). If elevated blood pressure is a causative factor for coronary artery disease, these variants should also increase coronary artery disease risk. Analyzing genome-wide association data from 22 233 coronary artery disease cases and 64 762 controls, we observed in the Coronary ARtery DIsease Genome-Wide Replication And Meta-Analysis (CARDIoGRAM) consortium that 88% of these blood pressure-associated polymorphisms were likewise positively associated with coronary artery disease, that is, they had an odds ratio >1 for coronary artery disease, a proportion much higher than expected by chance (P=4×10-5). The average relative coronary artery disease risk increase per each of the multiple blood pressure-raising alleles observed in the consortium was 3.0% for systolic blood pressure-associated polymorphisms (95% confidence interval, 1.8%-4.3%) and 2.9% for diastolic blood pressure-associated polymorphisms (95% confidence interval, 1.7%-4.1%). In substudies, individuals carrying most systolic blood pressure- and diastolic blood pressure-related risk alleles (top quintile of a genetic risk score distribution) had 70% (95% confidence interval, 50%-94%) and 59% (95% confidence interval, 40%-81%) higher odds of having coronary artery disease, respectively, as compared with individuals in the bottom quintile. In conclusion, most blood pressure-associated polymorphisms also confer an increased risk for coronary artery disease. These findings are consistent with a causal relationship of increasing blood pressure to coronary artery disease. Genetic variants primarily affecting blood pressure contribute to the genetic basis of coronary artery disease.Hypertension 03/2013; · 6.21 Impact Factor -
Article: Novel Loci Associated with Increased Risk of Sudden Cardiac Death in the Context of Coronary Artery Disease.
Adriana Huertas-Vazquez, Christopher P Nelson, Xiuqing Guo, Kyndaron Reinier, Audrey Uy-Evanado, Carmen Teodorescu, Jo Ayala, Katherine Jerger, Harpriya Chugh, Wtccc, [......], Michelle Jones, Kent D Taylor, Sara L Pulit, Christopher Newton-Cheh, Karen Gunson, Jonathan Jui, Jerome I Rotter, Christine M Albert, Nilesh J Samani, Sumeet S Chugh[show abstract] [hide abstract]
ABSTRACT: Recent genome-wide association studies (GWAS) have identified novel loci associated with sudden cardiac death (SCD). Despite this progress, identified DNA variants account for a relatively small portion of overall SCD risk, suggesting that additional loci contributing to SCD susceptibility await discovery. The objective of this study was to identify novel DNA variation associated with SCD in the context of coronary artery disease (CAD). Using the MetaboChip custom array we conducted a case-control association analysis of 119,117 SNPs in 948 SCD cases (with underlying CAD) from the Oregon Sudden Unexpected Death Study (Oregon-SUDS) and 3,050 controls with CAD from the Wellcome Trust Case-Control Consortium (WTCCC). Two newly identified loci were significantly associated with increased risk of SCD after correction for multiple comparisons at: rs6730157 in the RAB3GAP1 gene on chromosome 2 (P = 4.93×10(-12), OR = 1.60) and rs2077316 in the ZNF365 gene on chromosome 10 (P = 3.64×10(-8), OR = 2.41). Our findings suggest that RAB3GAP1 and ZNF365 are relevant candidate genes for SCD and will contribute to the mechanistic understanding of SCD susceptibility.PLoS ONE 01/2013; 8(4):e59905. · 4.09 Impact Factor