Publications
403 results found
Ling Y, van Herpt TTW, van Hoek M, et al., 2014, A genetic variant in <i>SLC6A20</i> is associated with Type 2 diabetes in white-European and Chinese populations, DIABETIC MEDICINE, Vol: 31, Pages: 1350-1356, ISSN: 0742-3071
- Author Web Link
- Cite
- Citations: 5
Guigas B, van Weenen JEDL, van Leeuwen N, et al., 2014, Sex-specific effects of naturally occurring variants in the dopamine receptor D2 locus on insulin secretion and Type 2 diabetes susceptibility, DIABETIC MEDICINE, Vol: 31, Pages: 1001-1008, ISSN: 0742-3071
- Author Web Link
- Cite
- Citations: 12
Ganesh SK, Chasman DI, Larson MG, et al., 2014, Effects of Long-Term Averaging of Quantitative Blood Pressure Traits on the Detection of Genetic Associations, AMERICAN JOURNAL OF HUMAN GENETICS, Vol: 95, Pages: 49-65, ISSN: 0002-9297
- Author Web Link
- Cite
- Citations: 55
Simino J, Shi G, Bis JC, et al., 2014, Gene-Age Interactions in Blood Pressure Regulation: A Large-Scale Investigation with the CHARGE, Global BPgen, and ICBP Consortia, AMERICAN JOURNAL OF HUMAN GENETICS, Vol: 95, Pages: 24-38, ISSN: 0002-9297
- Author Web Link
- Cite
- Citations: 80
Holmes MV, Dale CE, Zuccolo L, et al., 2014, Association between alcohol and cardiovascular disease: Mendelian randomisation analysis based on individual participant data, BMJ-BRITISH MEDICAL JOURNAL, Vol: 349, ISSN: 0959-535X
- Author Web Link
- Cite
- Citations: 427
Strawbridge RJ, Deleskog A, McLeod O, et al., 2014, A serum 25-hydroxyvitamin D concentration-associated genetic variant in <i>DHCR7</i> interacts with type 2 diabetes status to influence subclinical atherosclerosis (measured by carotid intima-media thickness), DIABETOLOGIA, Vol: 57, Pages: 1159-1172, ISSN: 0012-186X
- Author Web Link
- Cite
- Citations: 26
Kraja AT, Chasman DI, North KE, et al., 2014, Pleiotropic genes for metabolic syndrome and inflammation, Molecular Genetics and Metabolism, Vol: 112, Pages: 317-338, ISSN: 1096-7206
Metabolic syndrome (MetS) has become a health and financial burden worldwide. The MetS definition captures clustering of risk factors that predict higher risk for diabetes mellitus and cardiovascular disease. Our study hypothesis is that additional to genes influencing individual MetS risk factors, genetic variants exist that influence MetS and inflammatory markers forming a predisposing MetS genetic network. To test this hypothesis a staged approach was undertaken. (a) We analyzed 17 metabolic and inflammatory traits in more than 85,500 participants from 14 large epidemiological studies within the Cross Consortia Pleiotropy Group. Individuals classified with MetS (NCEP definition), versus those without, showed on average significantly different levels for most inflammatory markers studied. (b) Paired average correlations between 8 metabolic traits and 9 inflammatory markers from the same studies as above, estimated with two methods, and factor analyses on large simulated data, helped in identifying 8 combinations of traits for follow-up in meta-analyses, out of 130,305 possible combinations between metabolic traits and inflammatory markers studied. (c) We performed correlated meta-analyses for 8 metabolic traits and 6 inflammatory markers by using existing GWAS published genetic summary results, with about 2.5 million SNPs from twelve predominantly largest GWAS consortia. These analyses yielded 130 unique SNPs/genes with pleiotropic associations (a SNP/gene associating at least one metabolic trait and one inflammatory marker). Of them twenty-five variants (seven loci newly reported) are proposed as MetS candidates. They map to genes MACF1, KIAA0754, GCKR, GRB14, COBLL1, LOC646736-IRS1, SLC39A8, NELFE, SKIV2L, STK19, TFAP2B, BAZ1B, BCL7B, TBL2, MLXIPL, LPL, TRIB1, ATXN2, HECTD4, PTPN11, ZNF664, PDXDC1, FTO, MC4R and TOMM40. Based on large data evidence, we conclude that inflammation is a feature of MetS and several gene variants show pleiotropic genetic associations
Huang J, Huffman JE, Yamkauchi M, et al., 2014, Genome-Wide Association Study for Circulating Tissue Plasminogen Activator Levels and Functional Follow-Up Implicates Endothelial STXBP5 and STX2, ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, Vol: 34, Pages: 1093-1101, ISSN: 1079-5642
- Author Web Link
- Cite
- Citations: 31
Oei L, Campos-Obando N, Dehghan A, et al., 2014, Dissecting the relationship between high-sensitivity serum C-reactive protein and increased fracture risk: the Rotterdam Study, OSTEOPOROSIS INTERNATIONAL, Vol: 25, Pages: 1247-1254, ISSN: 0937-941X
- Author Web Link
- Cite
- Citations: 31
Peloso GM, Auer PL, Bis JC, et al., 2014, Association of Low-Frequency and Rare Coding-Sequence Variants with Blood Lipids and Coronary Heart Disease in 56,000 Whites and Blacks, AMERICAN JOURNAL OF HUMAN GENETICS, Vol: 94, Pages: 223-232, ISSN: 0002-9297
- Author Web Link
- Cite
- Citations: 241
Ibrahim-Verbaas CA, Fornage M, Bis JC, et al., 2014, Predicting Stroke Through Genetic Risk Functions The CHARGE Risk Score Project, STROKE, Vol: 45, Pages: 403-412, ISSN: 0039-2499
- Author Web Link
- Cite
- Citations: 51
Dehghan A, Leening MJG, Solouki AM, et al., 2014, Comparison of Prognosis in Unrecognized Versus Recognized Myocardial Infarction in Men Versus Women > 55 Years of Age (from the Rotterdam Study), AMERICAN JOURNAL OF CARDIOLOGY, Vol: 113, Pages: 1-6, ISSN: 0002-9149
Parsa A, Fuchsberger C, Koettgen A, et al., 2013, Common Variants in Mendelian Kidney Disease Genes and Their Association with Renal Function, JOURNAL OF THE AMERICAN SOCIETY OF NEPHROLOGY, Vol: 24, Pages: 2105-2117, ISSN: 1046-6673
- Author Web Link
- Cite
- Citations: 27
Holmes MV, Simon T, Exeter HJ, et al., 2013, Secretory Phospholipase A<sub>2</sub>-IIA and Cardiovascular Disease, JOURNAL OF THE AMERICAN COLLEGE OF CARDIOLOGY, Vol: 62, Pages: 1966-1976, ISSN: 0735-1097
- Author Web Link
- Cite
- Citations: 91
Sedaghat S, Hoorn EJ, van Rooij FJA, et al., 2013, Serum Uric Acid and Chronic Kidney Disease: The Role of Hypertension, PLOS ONE, Vol: 8, ISSN: 1932-6203
- Author Web Link
- Cite
- Citations: 43
Evans DM, Brion MJA, Paternoster L, et al., 2013, Mining the Human Phenome Using Allelic Scores That Index Biological Intermediates, PLOS GENETICS, Vol: 9, ISSN: 1553-7404
- Author Web Link
- Cite
- Citations: 49
Ho JE, Chen W-Y, Chen M-H, et al., 2013, Common genetic variation at the <i>IL1RL1</i> locus regulates IL-33/ST2 signaling, JOURNAL OF CLINICAL INVESTIGATION, Vol: 123, Pages: 4208-4218, ISSN: 0021-9738
- Author Web Link
- Cite
- Citations: 90
O'Seaghdha CM, Wu H, Yang Q, et al., 2013, Meta-analysis of genome-wide association studies identifies six new loci for serum calcium concentrations, PLoS Genetics, Vol: 9, Pages: 1-13, ISSN: 1553-7390
Calcium is vital to the normal functioning of multiple organ systems and its serum concentration is tightly regulated. Apart from CASR, the genes associated with serum calcium are largely unknown. We conducted a genome-wide association meta-analysis of 39,400 individuals from 17 population-based cohorts and investigated the 14 most strongly associated loci in ≤21,679 additional individuals. Seven loci (six new regions) in association with serum calcium were identified and replicated. Rs1570669 near CYP24A1 (P = 9.1E-12), rs10491003 upstream of GATA3 (P = 4.8E-09) and rs7481584 in CARS (P = 1.2E-10) implicate regions involved in Mendelian calcemic disorders: Rs1550532 in DGKD (P = 8.2E-11), also associated with bone density, and rs7336933 near DGKH/KIAA0564 (P = 9.1E-10) are near genes that encode distinct isoforms of diacylglycerol kinase. Rs780094 is in GCKR. We characterized the expression of these genes in gut, kidney, and bone, and demonstrate modulation of gene expression in bone in response to dietary calcium in mice. Our results shed new light on the genetics of calcium homeostasis.
Sabater-Lleal M, Huang J, Chasman D, et al., 2013, Multiethnic Meta-Analysis of Genome-Wide Association Studies in > 100 000 Subjects Identifies 23 FibrinogenAssociated Loci but No Strong Evidence of a Causal Association Between Circulating Fibrinogen and Cardiovascular Disease, CIRCULATION, Vol: 128, Pages: 1310-1324, ISSN: 0009-7322
- Author Web Link
- Cite
- Citations: 113
Isaacs A, Willems SM, Bos D, et al., 2013, Risk Scores of Common Genetic Variants for Lipid Levels Influence Atherosclerosis and Incident Coronary Heart Disease, ARTERIOSCLEROSIS THROMBOSIS AND VASCULAR BIOLOGY, Vol: 33, Pages: 2233-2239, ISSN: 1079-5642
- Author Web Link
- Cite
- Citations: 36
van Meurs JBJ, Pare G, Schwartz SM, et al., 2013, Common genetic loci influencing plasma homocysteine concentrations and their effect on risk of coronary artery disease, AMERICAN JOURNAL OF CLINICAL NUTRITION, Vol: 98, Pages: 668-676, ISSN: 0002-9165
- Author Web Link
- Cite
- Citations: 143
Oei L, Zillikens MC, Dehghan A, et al., 2013, High Bone Mineral Density and Fracture Risk in Type 2 Diabetes as Skeletal Complications of Inadequate Glucose Control The Rotterdam Study, DIABETES CARE, Vol: 36, Pages: 1619-1628, ISSN: 0149-5992
- Author Web Link
- Cite
- Citations: 261
Olden M, Teumer A, Bochud M, et al., 2013, Overlap Between Common Genetic Polymorphisms Underpinning Kidney Traits and Cardiovascular Disease Phenotypes: The CKDGen Consortium, AMERICAN JOURNAL OF KIDNEY DISEASES, Vol: 61, Pages: 889-898, ISSN: 0272-6386
- Author Web Link
- Cite
- Citations: 29
Fall T, Hagg S, Maegi R, et al., 2013, The Role of Adiposity in Cardiometabolic Traits: A Mendelian Randomization Analysis, PLOS MEDICINE, Vol: 10, ISSN: 1549-1277
- Author Web Link
- Open Access Link
- Cite
- Citations: 145
Crosslin DR, McDavid A, Weston N, et al., 2013, Genetic variation associated with circulating monocyte count in the eMERGE Network, HUMAN MOLECULAR GENETICS, Vol: 22, Pages: 2119-2127, ISSN: 0964-6906
- Author Web Link
- Cite
- Citations: 49
Nanchen D, Leening MJG, Locatelli I, et al., 2013, Resting Heart Rate and the Risk of Heart Failure in Healthy Adults The Rotterdam Study, CIRCULATION-HEART FAILURE, Vol: 6, Pages: 403-+, ISSN: 1941-3289
- Author Web Link
- Cite
- Citations: 62
Koettgen A, Albrecht E, Teumer A, et al., 2013, Genome-wide association analyses identify 18 new loci associated with serum urate concentrations, NATURE GENETICS, Vol: 45, Pages: 145-154, ISSN: 1061-4036
- Author Web Link
- Cite
- Citations: 561
Selwaness M, van den Bouwhuijsen QJA, Verwoert GC, et al., 2013, Blood Pressure Parameters and Carotid Intraplaque Hemorrhage as Measured by Magnetic Resonance Imaging The Rotterdam Study, HYPERTENSION, Vol: 61, Pages: 76-81, ISSN: 0194-911X
- Author Web Link
- Cite
- Citations: 28
Deloukas P, Kanoni S, Willenborg C, et al., 2013, Large-scale association analysis identifies new risk loci for coronary artery disease, NATURE GENETICS, Vol: 45, Pages: 25-U52, ISSN: 1061-4036
- Author Web Link
- Cite
- Citations: 959
Verhaaren BFJ, Vernooij MW, Dehghan A, et al., 2013, The Relation of Uric Acid to Brain Atrophy and Cognition: The Rotterdam Scan Study, NEUROEPIDEMIOLOGY, Vol: 41, Pages: 29-34, ISSN: 0251-5350
- Author Web Link
- Cite
- Citations: 55
This data is extracted from the Web of Science and reproduced under a licence from Thomson Reuters. You may not copy or re-distribute this data in whole or in part without the written consent of the Science business of Thomson Reuters.