TY - JOUR A1 - Li, Chen A1 - Stoma, Svetlana A1 - Lotta, Luca A. A1 - Warner, Sophie A1 - Albrecht, Eva A1 - Allione, Alessandra A1 - Arp, Pascal P. A1 - Broer, Linda A1 - Buxton, Jessica L. A1 - Boeing, Heiner A1 - Langenberg, Claudia A1 - Codd, Veryan T1 - Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length JF - American Journal of Human Genetics N2 - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease. KW - Mendelian randomization KW - risk KW - variants KW - disease KW - cancer KW - loci KW - database KW - genes KW - heart KW - gwas Y1 - 2019 VL - 106 IS - 3 PB - Elsevier CY - Amsterdam ER - TY - GEN A1 - Li, Chen A1 - Stoma, Svetlana A1 - Lotta, Luca A. A1 - Warner, Sophie A1 - Albrecht, Eva A1 - Allione, Alessandra A1 - Arp, Pascal P. A1 - Broer, Linda A1 - Buxton, Jessica L. A1 - Boeing, Heiner A1 - Langenberg, Claudia A1 - Codd, Veryan T1 - Genome-wide association analysis in humans links nucleotide metabolism to leukocyte telomere length T2 - Postprints der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe N2 - Leukocyte telomere length (LTL) is a heritable biomarker of genomic aging. In this study, we perform a genome-wide meta-analysis of LTL by pooling densely genotyped and imputed association results across large-scale European-descent studies including up to 78,592 individuals. We identify 49 genomic regions at a false dicovery rate (FDR) < 0.05 threshold and prioritize genes at 31, with five highlighting nucleotide metabolism as an important regulator of LTL. We report six genome-wide significant loci in or near SENP7, MOB1B, CARMIL1 , PRRC2A, TERF2, and RFWD3, and our results support recently identified PARP1, POT1, ATM, and MPHOSPH6 loci. Phenome-wide analyses in >350,000 UK Biobank participants suggest that genetically shorter telomere length increases the risk of hypothyroidism and decreases the risk of thyroid cancer, lymphoma, and a range of proliferative conditions. Our results replicate previously reported associations with increased risk of coronary artery disease and lower risk for multiple cancer types. Our findings substantially expand current knowledge on genes that regulate LTL and their impact on human health and disease. T3 - Zweitveröffentlichungen der Universität Potsdam : Mathematisch-Naturwissenschaftliche Reihe - 1205 KW - Mendelian randomization KW - risk KW - variants KW - disease KW - cancer KW - loci KW - database KW - genes KW - heart KW - gwas Y1 - 2019 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-526843 SN - 1866-8372 IS - 3 ER - TY - JOUR A1 - Zheng, Ju-Sheng A1 - Luan, Jian'an A1 - Sofianopoulou, Eleni A1 - Imamura, Fumiaki A1 - Stewart, Isobel D. A1 - Day, Felix R. A1 - Pietzner, Maik A1 - Wheeler, Eleanor A1 - Lotta, Luca A. A1 - Gundersen, Thomas E. A1 - Amiano, Pilar A1 - Ardanaz, Eva A1 - Chirlaque, Maria-Dolores A1 - Fagherazzi, Guy A1 - Franks, Paul W. A1 - Kaaks, Rudolf A1 - Laouali, Nasser A1 - Mancini, Francesca Romana A1 - Nilsson, Peter M. A1 - Onland-Moret, N. Charlotte A1 - Olsen, Anja A1 - Overvad, Kim A1 - Panico, Salvatore A1 - Palli, Domenico A1 - Ricceri, Fulvio A1 - Rolandsson, Olov A1 - Spijkerman, Annemieke M. W. A1 - Sanchez, Maria-Jose A1 - Schulze, Matthias Bernd A1 - Sala, Nuria A1 - Sieri, Sabina A1 - Tjonneland, Anne A1 - Tumino, Rosario A1 - van der Schouw, Yvonne T. A1 - Weiderpass, Elisabete A1 - Riboli, Elio A1 - Danesh, John A1 - Butterworth, Adam S. A1 - Sharp, Stephen J. A1 - Langenberg, Claudia A1 - Forouhi, Nita G. A1 - Wareham, Nicholas J. T1 - Plasma vitamin C and type 2 diabetes BT - genome-wide association study and Mendelian randomization analysis in European populations JF - Diabetes care N2 - OBJECTIVE: Higher plasma vitamin C levels are associated with lower type 2 diabetes risk, but whether this association is causal is uncertain. To investigate this, we studied the association of genetically predicted plasma vitamin C with type 2 diabetes. RESEARCH DESIGN AND METHODS: We conducted genome-wide association studies of plasma vitamin C among 52,018 individuals of European ancestry to discover novel genetic variants. We performed Mendelian randomization analyses to estimate the association of genetically predicted differences in plasma vitamin C with type 2 diabetes in up to 80,983 case participants and 842,909 noncase participants. We compared this estimate with the observational association between plasma vitamin C and incident type 2 diabetes, including 8,133 case participants and 11,073 noncase participants. RESULTS: We identified 11 genomic regions associated with plasma vitamin C (P < 5 x 10(-8)), with the strongest signal at SLC23A1, and 10 novel genetic loci including SLC23A3, CHPT1, BCAS3, SNRPF, RER1, MAF, GSTA5, RGS14, AKT1, and FADS1. Plasma vitamin C was inversely associated with type 2 diabetes (hazard ratio per SD 0.88; 95% CI 0.82, 0.94), but there was no association between genetically predicted plasma vitamin C (excluding FADS1 variant due to its apparent pleiotropic effect) and type 2 diabetes (1.03; 95% CI 0.96, 1.10). CONCLUSIONS: These findings indicate discordance between biochemically measured and genetically predicted plasma vitamin C levels in the association with type 2 diabetes among European populations. The null Mendelian randomization findings provide no strong evidence to suggest the use of vitamin C supplementation for type 2 diabetes prevention. Y1 - 2020 U6 - https://doi.org/10.2337/dc20-1328 SN - 0149-5992 SN - 1935-5548 VL - 44 IS - 1 SP - 98 EP - 106 PB - American Diabetes Association CY - Alexandria ER -