Gene-age interactions in blood pressure regulation: a large-scale investigation with the CHARGE, Global BPgen, and ICBP Consortia.

Andrew D. Johnson | M. Fornage | C. Gieger | O. Franco | A. Hofman | A. Uitterlinden | D. Levy | T. Lehtimäki | E. Boerwinkle | C. Wijmenga | Z. Kutalik | P. Ridker | D. Chasman | M. Farrall | Y. Teo | V. Gudnason | C. Bouchard | R. Vasan | H. Völzke | A. Chakravarti | T. Wong | E. Tai | O. Raitakari | E. Lakatta | A. Dehghan | Shih-Jen Hwang | F. Rivadeneira | J. Witteman | A. James | L. Palmer | B. Psaty | D. Siscovick | B. Penninx | H. Snieder | X. Gu | J. Rotter | T. Harris | D. Rao | N. Wareham | Jianjun Liu | K. Rice | C. V. van Duijn | R. D. de Boer | Xiuqing Guo | U. Völker | H. Watkins | J. Bis | M. Larson | T. Johnson | N. Amin | G. Eiriksdottir | M. Kähönen | L. Launer | S. Hercberg | C. Hartman | Ching-Yu Cheng | X. Sim | A. Goel | J. Luan | I. Nolte | R. Scott | P. J. van der Most | T. Aung | G. Ehret | C. Khor | L. Raffel | L. Rose | P. van der Harst | W. Palmas | A. Morrison | S. Sanna | P. Meneton | G. Verwoert | E. Sijbrands | R. Loos | Kiang Liu | K. Khaw | J. Bragg-Gresham | L. Lyytikäinen | J. Zhao | M. Bochud | Guo Li | G. Navis | R. Rettig | N. Verweij | R. Stolk | G. Lucas | M. Laan | Peng Chen | M. M. van der Klauw | E. Vithana | R. Ong | T. Corre | G. Cadby | T. Young | G. Papanicolau | D. Vaidya | Gang Shi | J. Simino | S. Sõber | Rudolf A. de Boer | Peter J. van der Most | C. Lluís-Ganella | A. Smith | A. Johnson | R. Elosúa | P. van der harst | Dhananjay Vaidya | A. Smith | L. Rose | M. Kähönen | A. Uitterlinden | D. Rao | A. Goel | A. Hofman | T. Wong | C. V. van Duijn | R. Scott | B. Psaty | R. Loos | R. Scott | T. Wong | R. Scott | T. Wong | D. Levy | T. Wong

[1]  William Wheeler,et al.  Genome-wide interaction study of smoking and bladder cancer risk. , 2014, Carcinogenesis.

[2]  Hongbing Shen,et al.  A genome-wide gene-environment interaction analysis for tobacco smoke and lung cancer susceptibility. , 2014, Carcinogenesis.

[3]  Christian Gieger,et al.  Gene-centric meta-analysis in 87,736 individuals of European ancestry identifies multiple blood-pressure-related loci. , 2014, American journal of human genetics.

[4]  Yun Ju Sung,et al.  Gene-education interactions identify novel blood pressure loci in the Framingham Heart Study. , 2014, American journal of hypertension.

[5]  T. Beaty,et al.  Evidence of Gene−Environment Interaction for Two Genes on Chromosome 4 and Environmental Tobacco Smoke in Controlling the Risk of Nonsyndromic Cleft Palate , 2014, PloS one.

[6]  Hongyu Zhao,et al.  Genome-Wide Interaction Study Identifies RCBTB1 as a Modifier for Smoking Effect on Carotid Intima-Media Thickness , 2014, Arteriosclerosis, thrombosis, and vascular biology.

[7]  M. McQueen,et al.  Is the Gene-Environment Interaction Paradigm Relevant to Genome-Wide Studies? The Case of Education and Body Mass Index , 2014, Demography.

[8]  D. Rao,et al.  Gene-alcohol interactions identify several novel blood pressure loci including a promising locus near SLC16A9 , 2013, Front. Genet..

[9]  Xihong Lin,et al.  Gene-environment interaction effects on lung function- a genome-wide association study within the Framingham heart study , 2013, Environmental Health.

[10]  E. Riboli,et al.  Genes–Environment Interactions in Obesity- and Diabetes-Associated Pancreatic Cancer: A GWAS Data Analysis , 2013, Cancer Epidemiology, Biomarkers & Prevention.

[11]  Juan Pablo Lewinger,et al.  Finding Novel Genes by Testing G × E Interactions in a Genome‐Wide Association Study , 2013, Genetic epidemiology.

[12]  J. Chang-Claude,et al.  Empirical Hierarchical Bayes Approach to Gene‐Environment Interactions: Development and Application to Genome‐Wide Association Studies of Lung Cancer in TRICL , 2013, Genetic epidemiology.

[13]  H. Snieder,et al.  Familial Aggregation of Blood Pressure , 2013 .

[14]  JoAnn E. Manson,et al.  Gene-environment interactions and obesity traits among postmenopausal African-American and Hispanic women in the Women’s Health Initiative SHARe Study , 2012, Human Genetics.

[15]  U. Nöthlings,et al.  Genome-wide investigation of gene–environment interactions in colorectal cancer , 2012, Human Genetics.

[16]  C. Nievergelt,et al.  Paraoxonase 1 (PON1) C/T-108 association with longitudinal mean arterial blood pressure. , 2012, American journal of hypertension.

[17]  L. Liang,et al.  Genome-wide association analyses of esophageal squamous cell carcinoma in Chinese identify multiple susceptibility loci and gene-environment interactions , 2012, Nature Genetics.

[18]  David A Sinclair,et al.  The intersection between aging and cardiovascular disease. , 2012, Circulation research.

[19]  Manel Esteller,et al.  Hot topics in epigenetic mechanisms of aging: 2011 , 2012, Aging cell.

[20]  Hyun-Seok Jin,et al.  Age-dependent association of the polymorphisms in the mitochondria-shaping gene, OPA1, with blood pressure and hypertension in Korean population. , 2011, American journal of hypertension.

[21]  C. Gieger,et al.  A Genome-Wide Screen for Interactions Reveals a New Locus on 4p15 Modifying the Effect of Waist-to-Hip Ratio on Total Cholesterol , 2011, PLoS genetics.

[22]  Christian Gieger,et al.  Genome-wide association study identifies six new loci influencing pulse pressure and mean arterial pressure , 2011, Nature Genetics.

[23]  Christian Gieger,et al.  Genetic Variants in Novel Pathways Influence Blood Pressure and Cardiovascular Disease Risk , 2011, Nature.

[24]  M. Arfan Ikram,et al.  The Rotterdam Study: 2012 objectives and design update , 2011, European journal of epidemiology.

[25]  R. D. Rudic,et al.  SUMO1 Negatively Regulates Reactive Oxygen Species Production From NADPH Oxidases , 2011, Arteriosclerosis, thrombosis, and vascular biology.

[26]  Tien Yin Wong,et al.  Meta-analysis of genome-wide association studies identifies common variants associated with blood pressure variation in east Asians , 2011, Nature Genetics.

[27]  Peter Kraft,et al.  Gene‐environment interplay in common complex diseases: forging an integrative model—recommendations from an NIH workshop , 2011, Genetic epidemiology.

[28]  A. Naranjo,et al.  CASZ1b, the Short Isoform of CASZ1 Gene, Coexpresses with CASZ1a during Neurogenesis and Suppresses Neuroblastoma Cell Growth , 2011, PloS one.

[29]  Tom R. Gaunt,et al.  Association of genetic variation with systolic and diastolic blood pressure among African Americans: the Candidate Gene Association Resource study , 2011, Human molecular genetics.

[30]  P. Elliott,et al.  Meta-Analysis of Genome-Wide Association Studies in >80 000 Subjects Identifies Multiple Loci for C-Reactive Protein Levels , 2011, Circulation.

[31]  J. Khan,et al.  CASZ1, a candidate tumor-suppressor gene, suppresses neuroblastoma tumor growth through reprogramming gene expression , 2011, Cell Death and Differentiation.

[32]  J. Flynn,et al.  Comprar Pediatric Hypertension (Clinical Hypertension And Vascular Diseases) | J. Flynn | 9781603278232 | Humana Press , 2011 .

[33]  Tariq Ahmad,et al.  Genome-wide meta-analysis increases to 71 the number of confirmed Crohn's disease susceptibility loci , 2010, Nature Genetics.

[34]  O. Cummings,et al.  Genome-wide association study identifies variants associated with histologic features of nonalcoholic Fatty liver disease. , 2010, Gastroenterology.

[35]  Michael Boehnke,et al.  LocusZoom: regional visualization of genome-wide association scan results , 2010, Bioinform..

[36]  Yun Li,et al.  METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..

[37]  T. Ogihara,et al.  Blood Pressure and Hypertension Are Associated With 7 Loci in the Japanese Population , 2010, Circulation.

[38]  Wei Zhang,et al.  SCAN: SNP and copy number annotation , 2010, Bioinform..

[39]  P. Mitchell,et al.  Distribution and determinants of ocular biometric parameters in an Asian population: the Singapore Malay eye study. , 2010, Investigative ophthalmology & visual science.

[40]  P. Mitchell,et al.  Methodology of the Singapore Indian Chinese Cohort (SICC) Eye Study: Quantifying ethnic variations in the epidemiology of eye diseases in Asians , 2009, Ophthalmic epidemiology.

[41]  T. Wong,et al.  Is there a clear threshold for fasting plasma glucose that differentiates between those with and without neuropathy and chronic kidney disease?: the Singapore Prospective Study Program. , 2009, American journal of epidemiology.

[42]  P. O’Reilly,et al.  Genome-wide association study identifies eight loci associated with blood pressure , 2009, Nature Genetics.

[43]  Andrew D. Johnson,et al.  Genome-wide association study of blood pressure and hypertension , 2009, Nature Genetics.

[44]  C. Ting,et al.  Genome-Wide Association Study of Young-Onset Hypertension in the Han Chinese Population of Taiwan , 2009, PloS one.

[45]  C. Gieger,et al.  Association of Novel Genetic Loci With Circulating Fibrinogen Levels: A Genome-Wide Association Study in 6 Population-Based Cohorts , 2009, Circulation. Cardiovascular genetics.

[46]  F. Zitman,et al.  Depression Is Associated With Decreased Blood Pressure, but Antidepressant Use Increases the Risk for Hypertension , 2009, Hypertension.

[47]  P. Ridker,et al.  Novel Loci, Including Those Related to Crohn Disease, Psoriasis, and Inflammation, Identified in a Genome-Wide Association Study of Fibrinogen in 17 686 Women: The Women's Genome Health Study , 2009, Circulation. Cardiovascular genetics.

[48]  J. Pankow,et al.  Genetic Effect on Blood Pressure Is Modulated by Age: The Hypertension Genetic Epidemiology Network Study , 2009, Hypertension.

[49]  N. Wray,et al.  Genomewide Association for Major Depressive Disorder: A possible role for the presynaptic protein Piccolo , 2008, Molecular Psychiatry.

[50]  Monique M. B. Breteler,et al.  The Rotterdam Study: 2016 objectives and design update , 2015, European Journal of Epidemiology.

[51]  G. Nahler.  mean arterial blood pressure (MAP) , 2009 .

[52]  Frank C Verhulst,et al.  Cohort profile: the Dutch 'TRacking Adolescents' Individual Lives' Survey'; TRAILS. , 2008, International journal of epidemiology.

[53]  P. Cuijpers,et al.  The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods , 2008, International journal of methods in psychiatric research.

[54]  Judy H. Cho,et al.  Genome-wide association defines more than 30 distinct susceptibility loci for Crohn's disease , 2008, Nature Genetics.

[55]  S. Fowler,et al.  MsrA knockout mouse exhibits abnormal behavior and brain dopamine levels. , 2008, Free radical biology & medicine.

[56]  Subhajyoti De,et al.  Common variants near MC4R are associated with fat mass, weight and risk of obesity , 2008, Nature Genetics.

[57]  F. Kronenberg,et al.  On the replication of genetic associations: timing can be everything! , 2008, American journal of human genetics.

[58]  Vincent Mooser,et al.  The CoLaus study: a population-based study to investigate the epidemiology and genetic determinants of cardiovascular risk factors and metabolic syndrome , 2008, BMC cardiovascular disorders.

[59]  Stefan Lorkowski,et al.  Susceptibility to coronary artery disease and diabetes is encoded by distinct, tightly linked SNPs in the ANRIL locus on chromosome 9p. , 2008, Human molecular genetics.

[60]  N. Cook,et al.  Rationale, design, and methodology of the Women's Genome Health Study: a genome-wide association study of more than 25,000 initially healthy american women. , 2008, Clinical chemistry.

[61]  K. Mossman.  The Wellcome Trust Case Control Consortium, U.K. , 2008 .

[62]  Ronald P. Stolk,et al.  Universal risk factors for multifactorial diseases-LifeLines : a three-generation population-based study , 2008 .

[63]  A. Hofman,et al.  The Rotterdam Study: objectives and design update , 2007, European Journal of Epidemiology.

[64]  P. Ridker,et al.  Risk of cardiovascular events among women with high normal blood pressure or blood pressure progression: prospective cohort study , 2007, BMJ : British Medical Journal.

[65]  Qiong Yang,et al.  The Third Generation Cohort of the National Heart, Lung, and Blood Institute's Framingham Heart Study: design, recruitment, and initial examination. , 2007, American journal of epidemiology.

[66]  V. Gudnason,et al.  Age, Gene/Environment Susceptibility-Reykjavik Study: multidisciplinary applied phenomics. , 2007, American journal of epidemiology.

[67]  T. Wong,et al.  Rationale and Methodology for a Population-Based Study of Eye Diseases in Malay People: The Singapore Malay Eye Study (SiMES) , 2007, Ophthalmic epidemiology.

[68]  D. Postma,et al.  Universal risk factors for multifactorial diseases , 2007, European Journal of Epidemiology.

[69]  G. Abecasis,et al.  Heritability of Cardiovascular and Personality Traits in 6,148 Sardinians , 2006, PLoS genetics.

[70]  Nuala A Sheehan,et al.  Adjusting for treatment effects in studies of quantitative traits: antihypertensive therapy and systolic blood pressure , 2005, Statistics in medicine.

[71]  C. Gieger,et al.  KORA-gen - Resource for Population Genetics, Controls and a Broad Spectrum of Disease Phenotypes , 2005 .

[72]  Douglas W. Smith,et al.  Interactive Effects of Common &bgr;2-Adrenoceptor Haplotypes and Age on Susceptibility to Hypertension and Receptor Function , 2005, Hypertension.

[73]  F. Kronenberg,et al.  Association of the 103I MC4R allele with decreased body mass in 7937 participants of two population based surveys , 2005, Journal of Medical Genetics.

[74]  U. John,et al.  Study of Health in Pomerania (SHIP): A health examination survey in an east German region: Objectives and design , 2005, Sozial- und Präventivmedizin.

[75]  René Veenstra,et al.  Evaluation of non-response bias in mental health determinants and outcomes in a large sample of pre-adolescents , 2005, European Journal of Epidemiology.

[76]  W. Post,et al.  Racial/ethnic differences in hypertension and hypertension treatment and control in the multi-ethnic study of atherosclerosis (MESA). , 2004, American journal of hypertension.

[77]  Brian P. Mulhall,et al.  Nonalcoholic steatohepatitis , 2004, Current treatment options in gastroenterology.

[78]  S. Harrap,et al.  Antihypertensive Treatments Obscure Familial Contributions to Blood Pressure Variation , 2003, Hypertension.

[79]  R. Collins,et al.  Age-specific relevance of usual blood pressure to vascular mortality: a meta-analysis of individual data for one million adults in 61 prospective studies , 2002, The Lancet.

[80]  R. Kronmal,et al.  Multi-Ethnic Study of Atherosclerosis: objectives and design. , 2002, American journal of epidemiology.

[81]  Hans L Hillege,et al.  Urinary Albumin Excretion Predicts Cardiovascular and Noncardiovascular Mortality in General Population , 2002, Circulation.

[82]  V. Burke,et al.  Accuracy of blood pressure measurement and anthropometry among volunteer observers in a large community survey. , 2002, Journal of clinical epidemiology.

[83]  J. Izzo.  Aging and systolic hypertension: cluster patterns and problem-solving strategies to answer the genetic riddle. , 2001, Hypertension.

[84]  M. Trevisan,et al.  Relationship of the Trp64Arg polymorphism of the beta3-adrenoceptor gene to central adiposity and high blood pressure: interaction with age. Cross-sectional and longitudinal findings of the Olivetti Prospective Heart Study , 2001, Journal of hypertension.

[85]  D. Zeeuw,et al.  Urinary albumin excretion is associated with renal functional abnormalities in a nondiabetic population. , 2000, Journal of the American Society of Nephrology : JASN.

[86]  N. Day,et al.  EPIC-Norfolk: study design and characteristics of the cohort. European Prospective Investigation of Cancer. , 1999, British journal of cancer.

[87]  P. Galan,et al.  Background and rationale behind the SU.VI.MAX Study, a prevention trial using nutritional doses of a combination of antioxidant vitamins and minerals to reduce cardiovascular diseases and cancers. SUpplementation en VItamines et Minéraux AntioXydants Study. , 1998, International journal for vitamin and nutrition research. Internationale Zeitschrift fur Vitamin- und Ernahrungsforschung. Journal international de vitaminologie et de nutrition.

[88]  D. Levy,et al.  Hemodynamic patterns of age-related changes in blood pressure. The Framingham Heart Study. , 1997, Circulation.

[89]  J. Fleg,et al.  Age-associated changes in blood pressure in a longitudinal study of healthy men and women. , 1997, The journals of gerontology. Series A, Biological sciences and medical sciences.

[90]  M C Neale,et al.  Age-specific genetic effects for blood pressure. , 1993, Hypertension.

[91]  R. Kronmal,et al.  The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.

[92]  A. Folsom,et al.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. , 1989, American journal of epidemiology.

[93]  S B Hulley,et al.  CARDIA: study design, recruitment, and some characteristics of the examined subjects. , 1988, Journal of clinical epidemiology.

[94]  K. Svärdsudd,et al.  Age-related changes in blood pressure. , 1986, Hypertension.

[95]  W. Willett,et al.  Validation of questionnaire information on risk factors and disease outcomes in a prospective cohort study of women. , 1986, American journal of epidemiology.

[96]  A. Ben-Zvi,et al.  Age associated changes in intracellular cyclic adenosine monophosphate. , 1984, Clinical and experimental immunology.

[97]  W. Kannel,et al.  Blood pressure aggregation in families. , 1979, American journal of epidemiology.

[98]  W. Kannel,et al.  The Framingham Offspring Study. Design and preliminary data. , 1975, Preventive medicine.

[99]  T. Dawber,et al.  Epidemiological approaches to heart disease: the Framingham Study. , 1951, American journal of public health and the nation's health.