Author: "RANKINEN, TUOMO" / Topic: blood pressure - Searchworks@Jio Institute Digital Library Search Results

Your search keyword '"RANKINEN, TUOMO"' showing total 25 results

Start Over Author "RANKINEN, TUOMO" Topic blood pressure

25 results on '"RANKINEN, TUOMO"'

1. Plasma Steroids are Not Associated with Resting and Exercise Blood Pressure.

Author: He Z, Rankinen T, Leon AS, Skinner J, Tchernof A, and Bouchard C
Subjects: Adolescent, Adult, Female, Heart Rate, Humans, Male, Middle Aged, Oxygen Consumption, Sedentary Behavior, Young Adult, Blood Pressure, Exercise physiology, Rest physiology, Sex Hormone-Binding Globulin analysis, Steroids blood
Abstract: We investigated the associations between steroid hormones and resting and exercise blood pressure in the sedentary state and in response to an exercise program controlling for sex, body mass, ethnicity, age, oral contraceptives, hormone therapy, smoking and alcohol intake in subjects from the HERITAGE Family Study.: In the sedentary state, 267 men (28% Blacks) and 301 women (37% Blacks) were available, and 241 men and 254 women completed the exercise program. Fourteen steroid hormones and sex hormone-binding globulin concentrations were assayed in a fasted state. Statistical significance was set at a Bonferroni adjusted p<0.0001. After controlling for the various covariates, only testosterone came close to a significant correlation with exercise systolic blood pressure at 50 W (r=-0.21, P=0.0006) in men. No other correlations with resting and exercise blood pressure traits were found at baseline. There were significant changes in blood pressure in response to the exercise program, but none of the correlations with baseline plasma steroids reached statistical significance. Plasma steroids do not correlate with resting and exercise blood pressure in sedentary adults and do not associate with blood pressure changes in response to a 20-week endurance exercise program., Competing Interests: No conflict of interest has been declared by the authors., (© Georg Thieme Verlag KG Stuttgart · New York.)
Published: 2018
Full Text: View/download PDF

2. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

Author: Feitosa MF, Kraja AT, Chasman DI, Sung YJ, Winkler TW, Ntalla I, Guo X, Franceschini N, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Bentley AR, Brown MR, Schwander K, Richard MA, Noordam R, Aschard H, Bartz TM, Bielak LF, Dorajoo R, Fisher V, Hartwig FP, Horimoto ARVR, Lohman KK, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Wojczynski MK, Alver M, Boissel M, Cai Q, Campbell A, Chai JF, Chen X, Divers J, Gao C, Goel A, Hagemeijer Y, Harris SE, He M, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Komulainen P, Kühnel B, Laguzzi F, Luan J, Matoba N, Nolte IM, Padmanabhan S, Riaz M, Rueedi R, Robino A, Said MA, Scott RA, Sofer T, Stančáková A, Takeuchi F, Tayo BO, van der Most PJ, Varga TV, Vitart V, Wang Y, Ware EB, Warren HR, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Amin N, Amini M, Arking DE, Aung T, Boerwinkle E, Borecki I, Broeckel U, Brown M, Brumat M, Burke GL, Canouil M, Chakravarti A, Charumathi S, Ida Chen YD, Connell JM, Correa A, de Las Fuentes L, de Mutsert R, de Silva HJ, Deng X, Ding J, Duan Q, Eaton CB, Ehret G, Eppinga RN, Evangelou E, Faul JD, Felix SB, Forouhi NG, Forrester T, Franco OH, Friedlander Y, Gandin I, Gao H, Ghanbari M, Gigante B, Gu CC, Gu D, Hagenaars SP, Hallmans G, Harris TB, He J, Heikkinen S, Heng CK, Hirata M, Howard BV, Ikram MA, John U, Katsuya T, Khor CC, Kilpeläinen TO, Koh WP, Krieger JE, Kritchevsky SB, Kubo M, Kuusisto J, Lakka TA, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lewis CE, Li Y, Lin S, Liu J, Liu J, Loh M, Louie T, Mägi R, McKenzie CA, Meitinger T, Metspalu A, Milaneschi Y, Milani L, Mohlke KL, Momozawa Y, Nalls MA, Nelson CP, Sotoodehnia N, Norris JM, O'Connell JR, Palmer ND, Perls T, Pedersen NL, Peters A, Peyser PA, Poulter N, Raffel LJ, Raitakari OT, Roll K, Rose LM, Rosendaal FR, Rotter JI, Schmidt CO, Schreiner PJ, Schupf N, Scott WR, Sever PS, Shi Y, Sidney S, Sims M, Sitlani CM, Smith JA, Snieder H, Starr JM, Strauch K, Stringham HM, Tan NYQ, Tang H, Taylor KD, Teo YY, Tham YC, Turner ST, Uitterlinden AG, Vollenweider P, Waldenberger M, Wang L, Wang YX, Wei WB, Williams C, Yao J, Yu C, Yuan JM, Zhao W, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Deary IJ, Esko T, Farrall M, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Jonas JB, Kamatani Y, Kato N, Kooner JS, Kutalik Z, Laakso M, Laurie CC, Leander K, Lehtimäki T, Study LC, Magnusson PKE, Oldehinkel AJ, Penninx BWJH, Polasek O, Porteous DJ, Rauramaa R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Wu T, Zheng W, Bouchard C, Christensen K, Evans MK, Gudnason V, Horta BL, Kardia SLR, Liu Y, Pereira AC, Psaty BM, Ridker PM, van Dam RM, Gauderman WJ, Zhu X, Mook-Kanamori DO, Fornage M, Rotimi CN, Cupples LA, Kelly TN, Fox ER, Hayward C, van Duijn CM, Tai ES, Wong TY, Kooperberg C, Palmas W, Rice K, Morrison AC, Elliott P, Caulfield MJ, Munroe PB, Rao DC, Province MA, and Levy D
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Cohort Studies, Female, Gene-Environment Interaction, Genetic Predisposition to Disease epidemiology, Genetic Predisposition to Disease genetics, Genome-Wide Association Study, Humans, Male, Middle Aged, Pedigree, Young Adult, Alcohol Drinking epidemiology, Alcohol Drinking genetics, Blood Pressure genetics, Hypertension epidemiology, Hypertension genetics, Polymorphism, Single Nucleotide, Racial Groups genetics, Racial Groups statistics & numerical data
Abstract: Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension., Competing Interests: The authors have read the journal's policy and the authors of this manuscript have the following competing interests: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. OHF is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Terho Lehtimäki (TL) is employed by Fimlab Ltd. Ozren Polašek (OP) is employed by Gen‐info Ltd. There are no patents, products in development, or marked products to declare. All the other authors have declared no competing interests exist. This does not alter the authors' adherence to PLOS ONE policies on sharing data and materials.
Published: 2018
Full Text: View/download PDF

3. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

Author: Sung YJ, Winkler TW, de Las Fuentes L, Bentley AR, Brown MR, Kraja AT, Schwander K, Ntalla I, Guo X, Franceschini N, Lu Y, Cheng CY, Sim X, Vojinovic D, Marten J, Musani SK, Li C, Feitosa MF, Kilpeläinen TO, Richard MA, Noordam R, Aslibekyan S, Aschard H, Bartz TM, Dorajoo R, Liu Y, Manning AK, Rankinen T, Smith AV, Tajuddin SM, Tayo BO, Warren HR, Zhao W, Zhou Y, Matoba N, Sofer T, Alver M, Amini M, Boissel M, Chai JF, Chen X, Divers J, Gandin I, Gao C, Giulianini F, Goel A, Harris SE, Hartwig FP, Horimoto ARVR, Hsu FC, Jackson AU, Kähönen M, Kasturiratne A, Kühnel B, Leander K, Lee WJ, Lin KH, 'an Luan J, McKenzie CA, Meian H, Nelson CP, Rauramaa R, Schupf N, Scott RA, Sheu WHH, Stančáková A, Takeuchi F, van der Most PJ, Varga TV, Wang H, Wang Y, Ware EB, Weiss S, Wen W, Yanek LR, Zhang W, Zhao JH, Afaq S, Alfred T, Amin N, Arking D, Aung T, Barr RG, Bielak LF, Boerwinkle E, Bottinger EP, Braund PS, Brody JA, Broeckel U, Cabrera CP, Cade B, Caizheng Y, Campbell A, Canouil M, Chakravarti A, Chauhan G, Christensen K, Cocca M, Collins FS, Connell JM, de Mutsert R, de Silva HJ, Debette S, Dörr M, Duan Q, Eaton CB, Ehret G, Evangelou E, Faul JD, Fisher VA, Forouhi NG, Franco OH, Friedlander Y, Gao H, Gigante B, Graff M, Gu CC, Gu D, Gupta P, Hagenaars SP, Harris TB, He J, Heikkinen S, Heng CK, Hirata M, Hofman A, Howard BV, Hunt S, Irvin MR, Jia Y, Joehanes R, Justice AE, Katsuya T, Kaufman J, Kerrison ND, Khor CC, Koh WP, Koistinen HA, Komulainen P, Kooperberg C, Krieger JE, Kubo M, Kuusisto J, Langefeld CD, Langenberg C, Launer LJ, Lehne B, Lewis CE, Li Y, Lim SH, Lin S, Liu CT, Liu J, Liu J, Liu K, Liu Y, Loh M, Lohman KK, Long J, Louie T, Mägi R, Mahajan A, Meitinger T, Metspalu A, Milani L, Momozawa Y, Morris AP, Mosley TH Jr, Munson P, Murray AD, Nalls MA, Nasri U, Norris JM, North K, Ogunniyi A, Padmanabhan S, Palmas WR, Palmer ND, Pankow JS, Pedersen NL, Peters A, Peyser PA, Polasek O, Raitakari OT, Renström F, Rice TK, Ridker PM, Robino A, Robinson JG, Rose LM, Rudan I, Sabanayagam C, Salako BL, Sandow K, Schmidt CO, Schreiner PJ, Scott WR, Seshadri S, Sever P, Sitlani CM, Smith JA, Snieder H, Starr JM, Strauch K, Tang H, Taylor KD, Teo YY, Tham YC, Uitterlinden AG, Waldenberger M, Wang L, Wang YX, Wei WB, Williams C, Wilson G, Wojczynski MK, Yao J, Yuan JM, Zonderman AB, Becker DM, Boehnke M, Bowden DW, Chambers JC, Chen YI, de Faire U, Deary IJ, Esko T, Farrall M, Forrester T, Franks PW, Freedman BI, Froguel P, Gasparini P, Gieger C, Horta BL, Hung YJ, Jonas JB, Kato N, Kooner JS, Laakso M, Lehtimäki T, Liang KW, Magnusson PKE, Newman AB, Oldehinkel AJ, Pereira AC, Redline S, Rettig R, Samani NJ, Scott J, Shu XO, van der Harst P, Wagenknecht LE, Wareham NJ, Watkins H, Weir DR, Wickremasinghe AR, Wu T, Zheng W, Kamatani Y, Laurie CC, Bouchard C, Cooper RS, Evans MK, Gudnason V, Kardia SLR, Kritchevsky SB, Levy D, O'Connell JR, Psaty BM, van Dam RM, Sims M, Arnett DK, Mook-Kanamori DO, Kelly TN, Fox ER, Hayward C, Fornage M, Rotimi CN, Province MA, van Duijn CM, Tai ES, Wong TY, Loos RJF, Reiner AP, Rotter JI, Zhu X, Bierut LJ, Gauderman WJ, Caulfield MJ, Elliott P, Rice K, Munroe PB, Morrison AC, Cupples LA, Rao DC, and Chasman DI
Subjects: Cohort Studies, Diastole genetics, Epistasis, Genetic, Female, Humans, Male, Polymorphism, Single Nucleotide genetics, Quantitative Trait Loci genetics, Reproducibility of Results, Systole genetics, Blood Pressure genetics, Genetic Loci, Genome-Wide Association Study, Racial Groups genetics, Smoking genetics
Abstract: Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10 -8 ) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10 -8 ). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2)., (Copyright © 2018 American Society of Human Genetics. All rights reserved.)
Published: 2018
Full Text: View/download PDF

4. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.

Author: Sung YJ, Winkler TW, Manning AK, Aschard H, Gudnason V, Harris TB, Smith AV, Boerwinkle E, Brown MR, Morrison AC, Fornage M, Lin LA, Richard M, Bartz TM, Psaty BM, Hayward C, Polasek O, Marten J, Rudan I, Feitosa MF, Kraja AT, Province MA, Deng X, Fisher VA, Zhou Y, Bielak LF, Smith J, Huffman JE, Padmanabhan S, Smith BH, Ding J, Liu Y, Lohman K, Bouchard C, Rankinen T, Rice TK, Arnett D, Schwander K, Guo X, Palmas W, Rotter JI, Alfred T, Bottinger EP, Loos RJ, Amin N, Franco OH, van Duijn CM, Vojinovic D, Chasman DI, Ridker PM, Rose LM, Kardia S, Zhu X, Rice K, Borecki IB, Rao DC, Gauderman WJ, and Cupples LA
Subjects: Cohort Studies, Databases, Factual, Family, Gene Frequency, Genome-Wide Association Study, Genotype, Humans, Phenotype, Blood Pressure genetics, Gene-Environment Interaction, Smoking
Abstract: Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts., (© 2016 WILEY PERIODICALS, INC.)
Published: 2016
Full Text: View/download PDF

5. The effect of different doses of aerobic exercise training on exercise blood pressure in overweight and obese postmenopausal women.

Author: Swift DL, Earnest CP, Katzmarzyk PT, Rankinen T, Blair SN, and Church TS
Subjects: Aged, Body Mass Index, Body Weight, Chi-Square Distribution, Energy Metabolism, Exercise Test, Female, Heart Rate, Humans, Middle Aged, Overweight physiopathology, Oxygen Consumption, Postmenopause, Single-Blind Method, Blood Pressure, Exercise physiology, Obesity physiopathology
Abstract: Objective: Abnormally elevated exercise blood pressure is associated with an increased risk of cardiovascular disease. Aerobic exercise training has been shown to reduce exercise blood pressure. However, it is unknown whether these improvements occur in a dose-dependent manner. The purpose of the present study was to determine the effect of different doses of aerobic exercise training on exercise blood pressure in obese postmenopausal women., Methods: Participants (N = 404) were randomized to one of four groups--groups with 4, 8, or 12 kcal/kg of energy expenditure per week or a nonexercise control group--for 6 months. Exercise blood pressure was obtained during the 50-watt stage of a cycle ergometer maximal exercise test., Results: There was a significant reduction in systolic blood pressure at 50 watts in the 4 kcal/kg per week (-10.9 mm Hg, P < 0.001), 8 kcal/kg per week (-9.9 mm Hg, P = 0.022), and 12 kcal/kg per week (-13.7 mm Hg, P < 0.001) compared with control (-4.2 mm Hg). Only the highest exercise training dose significantly reduced diastolic blood pressure (-4.3 mm Hg, P = 0.033) compared with control. In addition, resting blood pressure was not altered after exercise training (P > 0.05) compared with control and was not associated with changes in exercise systolic (r = 0.09, P = 0.09) or diastolic (r = 0.10, P = 0.08) blood pressure., Conclusions: Aerobic exercise training reduces exercise blood pressure and may be more modifiable than changes in resting blood pressure. A high dose of aerobic exercise is recommended to successfully reduce both exercise systolic and diastolic blood pressure and therefore may attenuate the cardiovascular disease risk associated with abnormally elevated exercise blood pressure.
Published: 2012
Full Text: View/download PDF

6. Effect of endothelin 1 genotype on blood pressure is dependent on physical activity or fitness levels.

Author: Rankinen T, Church T, Rice T, Markward N, Leon AS, Rao DC, Skinner JS, Blair SN, and Bouchard C
Subjects: Adult, Aged, Female, Genotype, Haplotypes, Humans, Male, Middle Aged, Blood Pressure, Endothelin-1 genetics, Exercise, Physical Fitness, Polymorphism, Single Nucleotide
Abstract: Contributions of the DNA sequence variation at the endothelin 1 locus to the risk of hypertension and to endurance training-induced changes in blood pressure were investigated in the Aerobics Center Longitudinal Study and the Health, Risk Factors, Exercise Training and Genetics Family Study cohorts. We identified 586 normotensive control subjects and 607 incident hypertensive case subjects from the Aerobics Center Longitudinal Study cohort (all whites) who were normotensive and healthy at their first clinic visit. The case subjects were diagnosed with hypertension during an average follow-up of 9.5 years, whereas the control subjects remained normotensive. The allele and genotype frequencies of 5 endothelin 1 haplotype tagging single nucleotide polymorphisms did not differ significantly between the case and control subjects. However, we observed a significant (P=0.0025) interaction between the endothelin 1 rs5370 (G/T; Lys198Asn) genotype and cardiorespiratory fitness level on the risk of hypertension: among low-fit subjects, the rs5370 minor allele (T; 198Asn) was associated with higher risk of hypertension (odds ratio: 1.95; 95% CI: 1.36 to 2.81; P=0.0003), whereas the risk did not differ among genotypes in high-fit subjects. In the white Health, Risk Factors, Exercise Training and Genetics subjects (N=480), the rs5370 T allele was associated with blunted systolic blood pressure (P=0.0046) and pulse pressure (P=0.0016) responses to a 20-week endurance training program. The Lys198Asn variant of the endothelin 1 locus is associated with blood pressure phenotypes in whites. However, the expression of the genotype effect is modulated by physical activity or cardiorespiratory fitness level. Our study provides an illustrative example of how physical activity and fitness level modifies the associations between a candidate gene and outcome phenotype.
Published: 2007
Full Text: View/download PDF

7. Meta-analysis of genome-wide scans for blood pressure in African American and Nigerian samples. The National Heart, Lung, and Blood Institute GeneLink Project.

Author: Rice T, Cooper RS, Wu X, Bouchard C, Rankinen T, Rao DC, Jaquish CE, Fabsitz RR, and Province MA
Subjects: Adolescent, Adult, Aged, Aged, 80 and over, Female, Humans, Hypertension genetics, Male, Middle Aged, Nigeria ethnology, Black or African American genetics, Black People genetics, Blood Pressure genetics, Genome, Human
Abstract: Background: In many genetic studies of complex traits, sample sizes are often too small to detect linkages of low-to-moderate effects. However, the combined linkage evidence across several studies can be synthesized using meta-analysis with the aim of providing more definitive support of linkage., Methods: In the current study using the National Heart, Lung, and Blood Institute (NHLBI) GeneLink Project, a meta-analysis based on a modification of Fisher's method of pooling P values was used to investigate linkage for systolic blood pressure (SBP) and diastolic blood pressure (DBP) values across three studies involving African American and Nigerian families (HyperGEN, Health, Risk Factors, Exercise Training and Genetics [HERITAGE], and Genetics of Hypertension in Blacks)., Results: The meta results suggest two regions (2p and 7p) provide enhanced linkage evidence compared with the individual study results. The maximal meta Lod score of 2.9 on 2p14-p13.1 (64-78 cM) represented approximately 1-Lod unit increase over the respective individual study scores. This general region has been implicated previously involving primarily families of white ethnicity and provides confirmatory evidence that this QTL is common across ethnic groups. The second finding at 7p21.3-p15.3 (8-25 cM) provided a meta Lod of 3.5. Although region was implicated primarily in the Nigerian subjects the low-level but consistent support involving the African American families (individual Lod score of 1.0) suggests a novel QTL with respect to BP variation in individuals of black ethnicity., Conclusions: Follow-up studies involving positional cloning efforts of the combined families showing linkage evidence in these regions (particularly 2p) may be warranted to verify these findings and identify the genes and causative variants.
Published: 2006
Full Text: View/download PDF

8. Meta-analysis of genome-wide scans for hypertension and blood pressure in Caucasians shows evidence of susceptibility regions on chromosomes 2 and 3.

Author: Koivukoski L, Fisher SA, Kanninen T, Lewis CM, von Wowern F, Hunt S, Kardia SL, Levy D, Perola M, Rankinen T, Rao DC, Rice T, Thiel BA, and Melander O
Subjects: Humans, White People genetics, Blood Pressure genetics, Chromosomes, Human, Pair 2, Chromosomes, Human, Pair 3, Genetic Linkage, Genetic Predisposition to Disease, Genome, Human, Hypertension genetics
Abstract: Individual genome-wide scans of blood pressure (BP) and hypertension (HT) have shown inconsistent results. The aim of this study was to investigate whether there was any consistent evidence of linkage across multiple studies with similar ethnicity. We applied the genome-search meta-analysis method (GSMA) to nine published genome-wide scans of BP (n = 5) and HT (n = 4) from Caucasian populations. For each study, the genome was divided into 120 bins and ranked according to the maximum evidence of linkage within each bin. The ranks were summed and averaged across studies and significance levels were estimated, on the basis of a distribution function of summed ranks or permutation tests without (PU) or with (PW) a study sample size weighting factor. Chromosome 3p14.1-q12.3 showed consistent evidence of linkage to HT (PU = 0.0001 and PW = 0.0001), diastolic BP (DBP) (PU = 0.007 and PW = 0.02), HT and DBP pooled (PU = 0.00002 and PW = 0.0001) and HT and systolic BP (SBP) pooled (PU = 0.0003 and PW = 0.0005). Chromosome 2p12-q22.1 showed evidence of linkage to HT (PU = 0.003 and PW = 0.009), DBP (PU = 0.05 and PW = NS), HT and DBP pooled (PU = 0.001 and PW = 0.004) and HT and SBP pooled (PU = 0.001 and P W = 0.005). The summed ranks of the HT analysis correlated significantly with those of the DBP (r = 0.20, P = 0.03) but not with those of the SBP. Both loci showed clustering of significant bins in the analysis of HT and DBP. We conclude that modest or non-significant linkage on chromosomes 3p14.1-q12.3 and 2p12-q22.1 in each individual study translates into genome-wide significant or highly suggestive linkages to HT and DBP in our GSMA analysis.
Published: 2004
Full Text: View/download PDF

9. Physical exercise and blood pressure with reference to the angiotensinogen M235T polymorphism.

Author: Rauramaa R, Kuhanen R, Lakka TA, Väisänen SB, Halonen P, Alén M, Rankinen T, and Bouchard C
Subjects: Aging genetics, Aging physiology, Angiotensinogen physiology, Blood Pressure physiology, Exercise Test, Humans, Male, Middle Aged, Physical Fitness, Posture, Supine Position, Angiotensinogen genetics, Blood Pressure genetics, Exercise, Polymorphism, Genetic
Abstract: We investigated the role of the angiotensinogen (AGT) gene M235T polymorphism in determining blood pressure (BP) response to moderate intensity exercise in a 6-yr randomized controlled trial in 140 middle-aged men. Sitting, supine, and standing blood pressures were measured annually. Of the randomized men, 86% participated in the trial for 6 yr. Submaximal cardiorespiratory fitness increased by 16% in the exercise group. In the M homozygotes, sitting systolic BP decreased by 1.0 mmHg in the exercise but increased by 14.6 mmHg in the reference group (P = 0.007 for net effect). Sitting and supine diastolic BP decreased by 6.2 and 3.3 mmHg in the exercise but increased by 2.8 and 3.2 mmHg in the reference group (P = 0.026 and 0.024 for net effects), respectively. Regular moderate intensity exercise attenuates aging-related increase in systolic BP and decreases diastolic BP among the M homozygotes of the AGT gene M235T polymorphism.
Published: 2002
Full Text: View/download PDF

10. Genomewide linkage scan of resting blood pressure: HERITAGE Family Study. Health, Risk Factors, Exercise Training, and Genetics.

Author: Rice T, Rankinen T, Chagnon YC, Province MA, Pérusse L, Leon AS, Skinner JS, Wilmore JH, Bouchard C, and Rao DC
Subjects: Adult, Black People genetics, Coronary Disease etiology, Coronary Disease genetics, Family Health, Female, Genetic Predisposition to Disease, Genome, Human, Humans, Hypertension genetics, Male, Middle Aged, Risk Factors, White People genetics, Blood Pressure genetics, Exercise, Genetic Linkage
Abstract: The purpose of this study was to search for genomic regions influencing resting systolic (SBP) and diastolic (DBP) blood pressure (BP) in sedentary families (baseline), and for resting BP responses (changes) resulting from a 20-week exercise training intervention (post-training-baseline) in the Health, Risk Factors, Exercise Training, and Genetics (HERITAGE) Family Study. A genome-wide scan was conducted on 317 black individuals from 114 families and 519 white individuals from 99 families using a multipoint variance-components linkage model and a panel of 509 markers. Promising results were primarily, but not exclusively, found in the black families. Linkage evidence (P<0.0023) with baseline BP replicated other studies within a 1-logarithm of odds (LOD) interval on 2p14, 3p26.3, and 12q21.33, and provided new evidence on 3q28, 11q21, and 19p12. Results for several known hypertension genes were less compelling. For response BP, results were not very strong, although markers on 13q11 were mildly suggestive (P<0.01). In conclusion, these HERITAGE data, in conjunction with results from previous genomewide scans, provide a basis for planning future investigations. The major areas warranting further study involve fine mapping to narrow down 3 regions on 2q, 3p, and 12q that may contain "novel" hypertension genes, additional typing of some biological candidate genes to determine whether they are the sources of these and other signals, multilocus investigations to understand how and to what extent some of these candidates may interact, and multivariate studies to characterize any pleiotropy.
Published: 2002
Full Text: View/download PDF

11. Multi-ancestry genome-wide gene–sleep interactions identify novel loci for blood pressure

Author: Wang, Heming, Noordam, Raymond, Cade, Brian E, Schwander, Karen, Winkler, Thomas W, Lee, Jiwon, Sung, Yun Ju, Bentley, Amy R, Manning, Alisa K, Aschard, Hugues, Kilpeläinen, Tuomas O, Ilkov, Marjan, Brown, Michael R, Horimoto, Andrea R, Richard, Melissa, Bartz, Traci M, Vojinovic, Dina, Lim, Elise, Nierenberg, Jovia L, Liu, Yongmei, Chitrala, Kumaraswamynaidu, Rankinen, Tuomo, Musani, Solomon K, Franceschini, Nora, Rauramaa, Rainer, Alver, Maris, Zee, Phyllis C, Harris, Sarah E, van der Most, Peter J, Nolte, Ilja M, Munroe, Patricia B, Palmer, Nicholette D, Kühnel, Brigitte, Weiss, Stefan, Wen, Wanqing, Hall, Kelly A, Lyytikäinen, Leo-Pekka, O’Connell, Jeff, Eiriksdottir, Gudny, Launer, Lenore J, de Vries, Paul S, Arking, Dan E, Chen, Han, Boerwinkle, Eric, Krieger, Jose E, Schreiner, Pamela J, Sidney, Stephen, Shikany, James M, Rice, Kenneth, Chen, Yii-Der Ida, Gharib, Sina A, Bis, Joshua C, Luik, Annemarie I, Ikram, M Arfan, Uitterlinden, André G, Amin, Najaf, Xu, Hanfei, Levy, Daniel, He, Jiang, Lohman, Kurt K, Zonderman, Alan B, Rice, Treva K, Sims, Mario, Wilson, Gregory, Sofer, Tamar, Rich, Stephen S, Palmas, Walter, Yao, Jie, Guo, Xiuqing, Rotter, Jerome I, Biermasz, Nienke R, Mook-Kanamori, Dennis O, Martin, Lisa W, Barac, Ana, Wallace, Robert B, Gottlieb, Daniel J, Komulainen, Pirjo, Heikkinen, Sami, Mägi, Reedik, Milani, Lili, Metspalu, Andres, Starr, John M, Milaneschi, Yuri, Waken, RJ, Gao, Chuan, Waldenberger, Melanie, Peters, Annette, Strauch, Konstantin, Meitinger, Thomas, Roenneberg, Till, Völker, Uwe, Dörr, Marcus, Shu, Xiao-Ou, Mukherjee, Sutapa, Hillman, David R, Kähönen, Mika, Wagenknecht, Lynne E, Gieger, Christian, Grabe, Hans J, and Zheng, Wei
Subjects: Human Genome, Sleep Research, Clinical Research, Biotechnology, Hypertension, Genetics, Aetiology, 2.1 Biological and endogenous factors, Cardiovascular, Blood Pressure, Genetic Loci, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Sleep, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry
Abstract: Long and short sleep duration are associated with elevated blood pressure (BP), possibly through effects on molecular pathways that influence neuroendocrine and vascular systems. To gain new insights into the genetic basis of sleep-related BP variation, we performed genome-wide gene by short or long sleep duration interaction analyses on four BP traits (systolic BP, diastolic BP, mean arterial pressure, and pulse pressure) across five ancestry groups in two stages using 2 degree of freedom (df) joint test followed by 1df test of interaction effects. Primary multi-ancestry analysis in 62,969 individuals in stage 1 identified three novel gene by sleep interactions that were replicated in an additional 59,296 individuals in stage 2 (stage 1 + 2 Pjoint
Published: 2021

12. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

Author: de las Fuentes, Lisa, Sung, Yun Ju, Noordam, Raymond, Winkler, Thomas, Feitosa, Mary F, Schwander, Karen, Bentley, Amy R, Brown, Michael R, Guo, Xiuqing, Manning, Alisa, Chasman, Daniel I, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Campbell, Archie, Cheng, Ching-Yu, Dorajoo, Rajkumar, Hartwig, Fernando P, Horimoto, ARVR, Li, Changwei, Li-Gao, Ruifang, Liu, Yongmei, Marten, Jonathan, Musani, Solomon K, Ntalla, Ioanna, Rankinen, Tuomo, Richard, Melissa, Sim, Xueling, Smith, Albert V, Tajuddin, Salman M, Tayo, Bamidele O, Vojinovic, Dina, Warren, Helen R, Xuan, Deng, Alver, Maris, Boissel, Mathilde, Chai, Jin-Fang, Chen, Xu, Christensen, Kaare, Divers, Jasmin, Evangelou, Evangelos, Gao, Chuan, Girotto, Giorgia, Harris, Sarah E, He, Meian, Hsu, Fang-Chi, Kühnel, Brigitte, Laguzzi, Federica, Li, Xiaoyin, Lyytikäinen, Leo-Pekka, Nolte, Ilja M, Poveda, Alaitz, Rauramaa, Rainer, Riaz, Muhammad, Rueedi, Rico, Shu, Xiao-ou, Snieder, Harold, Sofer, Tamar, Takeuchi, Fumihiko, Verweij, Niek, Ware, Erin B, Weiss, Stefan, Yanek, Lisa R, Amin, Najaf, Arking, Dan E, Arnett, Donna K, Bergmann, Sven, Boerwinkle, Eric, Brody, Jennifer A, Broeckel, Ulrich, Brumat, Marco, Burke, Gregory, Cabrera, Claudia P, Canouil, Mickaël, Chee, Miao Li, Chen, Yii-Der Ida, Cocca, Massimiliano, Connell, John, de Silva, H Janaka, de Vries, Paul S, Eiriksdottir, Gudny, Faul, Jessica D, Fisher, Virginia, Forrester, Terrence, Fox, Ervin F, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Giulianini, Franco, Gu, Chi Charles, Gu, Dongfeng, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hunt, Steven, Ikram, M Arfan, Irvin, Marguerite R, Kähönen, Mika, and Kavousi, Maryam
Subjects: Biomedical and Clinical Sciences, Biological Psychology, Clinical and Health Psychology, Clinical Sciences, Psychology, Genetics, Cardiovascular, Hypertension, Aetiology, 2.1 Biological and endogenous factors, Blood Pressure, Epistasis, Genetic, Genetic Loci, Genome-Wide Association Study, Humans, Polymorphism, Single Nucleotide, Lifelines Cohort Study, Biological Sciences, Medical and Health Sciences, Psychology and Cognitive Sciences, Psychiatry, Clinical sciences, Biological psychology, Clinical and health psychology
Abstract: Educational attainment is widely used as a surrogate for socioeconomic status (SES). Low SES is a risk factor for hypertension and high blood pressure (BP). To identify novel BP loci, we performed multi-ancestry meta-analyses accounting for gene-educational attainment interactions using two variables, "Some College" (yes/no) and "Graduated College" (yes/no). Interactions were evaluated using both a 1 degree of freedom (DF) interaction term and a 2DF joint test of genetic and interaction effects. Analyses were performed for systolic BP, diastolic BP, mean arterial pressure, and pulse pressure. We pursued genome-wide interrogation in Stage 1 studies (N = 117 438) and follow-up on promising variants in Stage 2 studies (N = 293 787) in five ancestry groups. Through combined meta-analyses of Stages 1 and 2, we identified 84 known and 18 novel BP loci at genome-wide significance level (P
Published: 2021

13. Genetics and the Blood Pressure Response to Exercise Training

Author: Rankinen, Tuomo, Coleman, William B., Series editor, Tsongalis, Gregory J., Series editor, and Pescatello, Linda S., editor
Published: 2015
Full Text: View/download PDF

14. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Feitosa, Mary F, Kraja, Aldi T, Chasman, Daniel I, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Li, Changwei, Bentley, Amy R, Brown, Michael R, Schwander, Karen, Richard, Melissa A, Noordam, Raymond, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P, Horimoto, Andrea RVR, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Wojczynski, Mary K, Alver, Maris, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, He, Meian, Hsu, Fang-Chi, Jackson, Anne U, Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'an, Matoba, Nana, Nolte, Ilja M, Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, van der Most, Peter J, Varga, Tibor V, Vitart, Veronique, Wang, Yajuan, Ware, Erin B, Warren, Helen R, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morris, Brumat, Marco, Burke, Gregory L, Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Ida Chen, Yii-Der, Connell, John M, Correa, Adolfo, de Las Fuentes, Lisa, de Mutsert, Renée, de Silva, H Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B, Ehret, Georg, and Kuivaniemi, Helena
Subjects: Adult, Male, Alcohol Drinking, Adolescent, General Science & Technology, Blood Pressure, Cardiovascular, Cohort Studies, Alcohol Use and Health, Young Adult, Genetics, 80 and over, 2.1 Biological and endogenous factors, Humans, Genetic Predisposition to Disease, Aetiology, Polymorphism, Aged, Continental Population Groups, Racial Groups, Human Genome, Substance Abuse, Single Nucleotide, InterAct Consortium, Middle Aged, Pedigree, Alcoholism, Hypertension, Female, Gene-Environment Interaction, Biotechnology, Genome-Wide Association Study
Abstract: Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.
Published: 2018

15. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group

Author: Sung, Yun Ju, Winkler, Thomas, Manning, Alisa, Aschard, Hugues, Gudnason, Vilmundur, Harris, Tamara, Smith, Albert, Boerwinkle, Eric, Brown, Michael, Morrison, Alanna, Fornage, Myriam, Lin, Li-An, Richard, Melissa, Bartz, Traci, Psaty, Bruce, Hayward, Caroline, Polasek, Ozren, Marten, Jonathan, Rudan, Igor, Feitosa, Mary, Kraja, Aldi, Province, Michael, Deng, Xuan, Fisher, Virginia, Zhou, Yanhua, Bielak, Lawrence, Smith, Jennifer, Huffman, Jennifer, Padmanabhan, Sandosh, Smith, Blair, Ding, Jingzhong, Liu, Yongmei, Lohman, Kurt, Bouchard, Claude, Rankinen, Tuomo, Rice, Treva, Arnett, Donna, Schwander, Karen, Guo, Xiuqing, Palmas, Walter, Rotter, Jerome, Alfred, Tamuno, Bottinger, Erwin, Loos, Ruth, Amin, Najaf, Franco, Oscar, Van Duijn, Cornelia, Vojinovic, Dina, Chasman, Daniel, Ridker, Paul, Rose, Lynda, Kardia, Sharon, Zhu, Xiaofeng, Rice, Kenneth, Borecki, Ingrid, Rao, Dabeeru, Gauderman, W James, Cupples, L Adrienne, Gauderman, W. James, Cupples, L. Adrienne, Department of Educational Psychology and Counseling, National Taiwan Normal University (NTNU), Harvard School of Public Health, Icelandic Heart Association, Kopavogur, Iceland., National Institute on Aging [Bethesda, MD, USA], Icelandic Heart Association, Heart Preventive Clinic and Research Institute, and The University of Texas Health Science Center at Houston (UTHealth)
Subjects: MESH: Smoking, Databases, Factual, Genotype, Epidemiology, Blood Pressure, MESH: Phenotype, Article, MESH: Genotype, Cohort Studies, Databases, Gene Frequency, Clinical Research, MESH: Gene Frequency, Genetics, Humans, Family, MESH: Cohort Studies, MESH: Family, Factual, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Humans, Smoking, Human Genome, MESH: Gene-Environment Interaction, MESH: Blood Pressure, MESH: Databases, Factual, gene-environment interaction, meta-analysis, Phenotype, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, MESH: Genome-Wide Association Study, Public Health and Health Services, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], [STAT.ME]Statistics [stat]/Methodology [stat.ME], low-frequency variants, Genome-Wide Association Study
Abstract: International audience; Studying gene-environment (G × E) interactions is important, as they extend our knowledge of the genetic architecture of complex traits and may help to identify novel variants not detected via analysis of main effects alone. The main statistical framework for studying G × E interactions uses a single regression model that includes both the genetic main and G × E interaction effects (the "joint" framework). The alternative "stratified" framework combines results from genetic main-effect analyses carried out separately within the exposed and unexposed groups. Although there have been several investigations using theory and simulation, an empirical comparison of the two frameworks is lacking. Here, we compare the two frameworks using results from genome-wide association studies of systolic blood pressure for 3.2 million low frequency and 6.5 million common variants across 20 cohorts of European ancestry, comprising 79,731 individuals. Our cohorts have sample sizes ranging from 456 to 22,983 and include both family-based and population-based samples. In cohort-specific analyses, the two frameworks provided similar inference for population-based cohorts. The agreement was reduced for family-based cohorts. In meta-analyses, agreement between the two frameworks was less than that observed in cohort-specific analyses, despite the increased sample size. In meta-analyses, agreement depended on (1) the minor allele frequency, (2) inclusion of family-based cohorts in meta-analysis, and (3) filtering scheme. The stratified framework appears to approximate the joint framework well only for common variants in population-based cohorts. We conclude that the joint framework is the preferred approach and should be used to control false positives when dealing with low-frequency variants and/or family-based cohorts.
Published: 2016

16. Plasma Steroids are not Associated with Resting and Exercise Blood Pressure.

Author: Zihong He, Rankinen, Tuomo, Leon, Arthur S., Skinner, James, Tchernof, André, and Bouchard, Claude
Subjects: *AGE distribution, *BLACK people, *BLOOD pressure, *BODY weight, *ALCOHOL drinking, *ETHNIC groups, *EXERCISE physiology, *FASTING, *GLOBULINS, *HORMONES, *SEX hormones, *ORAL contraceptives, *RELAXATION for health, *SEX distribution, *SMOKING, *STATISTICS, *STEROIDS, *TESTOSTERONE, *THERAPEUTICS, *DATA analysis, *ANAEROBIC exercises, *SEDENTARY lifestyles
Abstract: We investigated the associations between steroid hormones and resting and exercise blood pressure in the sedentary state and in response to an exercise program controlling for sex, body mass, ethnicity, age, oral contraceptives, hormone therapy, smoking and alcohol intake in subjects from the HERITAGE Family Study. In the sedentary state, 267 men (28 % Blacks) and 301 women (37 % Blacks) were available, and 241 men and 254 women completed the exercise program. Fourteen steroid hormones and sex hormone-binding globulin concentrations were assayed in a fasted state. Statistical significance was set at a Bonferroni adjusted p < 0.0001. After controlling for the various covariates, only testosterone came close to a significant correlation with exercise systolic blood pressure at 50 W (r = - 0.21, P = 0.0006) in men. No other correlations with resting and exercise blood pressure traits were found at baseline. There were significant changes in blood pressure in response to the exercise program, but none of the correlations with baseline plasma steroids reached statistical significance. Plasma steroids do not correlate with resting and exercise blood pressure in sedentary adults and do not associate with blood pressure changes in response to a 20-week endurance exercise program. [ABSTRACT FROM AUTHOR]
Published: 2018
Full Text: View/download PDF

17. Functional identification of the promoter of SLC4A5, a gene associated with cardiovascular and metabolic phenotypes in the HERITAGE Family Study.

Author: Stütz, Adrian M., Teran-Garcia, Margarita, Rao, D. C., Rice, Treva, Bouchard, Claude, and Rankinen, Tuomo
Subjects: PHENOTYPES, GENETIC polymorphisms, BLOOD pressure, GENETICS, SODIUM bicarbonate
Abstract: The sodium bicarbonate cotransporter gene SLC4A5, associated earlier with cardiovascular phenotypes, was tested for associations in the HERITAGE Family Study, and possible mechanisms were investigated. Twelve tag-single nucleotide polymorphisms (SNPs) covering the SLC4A5 gene were analyzed in 276 Black and 503 White healthy, sedentary subjects. Associations were tested using a variance components-based (QTDT) method with data adjusted for age, sex and body size. In Whites, rs6731545 and rs7571842 were significantly associated with resting and submaximal exercise pulse pressure (PP) (0.0004 2 (P=0.003), rs7587117 and rs7571842 and VCO2 (0.0005
Published: 2009
Full Text: View/download PDF

18. Genes, exercise, growth, and the sedentary, obese child.

Author: Teran-Garcia, Margarita, Rankinen, Tuomo, and Bouchard, Claude
Subjects: DIABETES complications, CHILDREN'S health, DIABETIC angiopathies, SCHOOL food, CARBOHYDRATE intolerance, TYPE 2 diabetes, BLOOD pressure
Abstract: It is still not possible to provide an evidence-based answer to the question of whether regular exercise is essential for normal growth. It is also unclear whether very low levels of exercise result in growth deficits. Regular exposure to exercise is characterized by heterogeneity in responsiveness, with most individuals experiencing improvements in fitness traits but a significant proportion showing only very minor gains. Whether a sedentary mode of life during the growing years results in a permanent deficit in cardio-respiratory fitness or a diminished ability to respond favorably to regular exercise later in life remains to be investigated. Although several genes have been associated with fitness levels or response to regular exercise, the quality of the evidence is weak mainly because studies are statistically underpowered. The special case of the obese, sedentary child is discussed, and the importance of the "energy gap" in the excess weight gain during growth is highlighted. Obese, sedentary children have high blood pressure, dyslipidemia, elevated glycemia and type 2 diabetes, hepatic steatosis, respiratory problems, orthopedic complications, and other health disorders more frequently than normal weight, physically active children. The role of genetic differences in the inclination to be sedentary or physically active is reviewed. An understanding of the true role of genetic differences and regular exercise on the growth of children will require more elaborate paradigms incorporating not only DNA sequence variants and exercise exposure but also information on nutrition, programming, and epigenetic events during fetal life and early postnatal years. [ABSTRACT FROM AUTHOR]
Published: 2008
Full Text: View/download PDF

19. AGT M235T and ACE ID polymorphisms and exercise blood pressure in the HERITAGE Family Study.

Author: Rankinen, Tuomo and Gagnon, Jacques
Subjects: *GENETIC polymorphisms, *ANGIOTENSIN converting enzyme, *ANGIOTENSINS, *BLOOD pressure, *PHYSIOLOGY
Abstract: Focuses on a study which investigated the association between angiotensinogen (AGT) and angiotensin-converting enzyme (ACE) gene polymorphisms and exercise training responses of resting and exercise blood pressure (BP). Description of the subjects and methods of the study used; Results; Conclusion.
Published: 2000
Full Text: View/download PDF

20. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Author: Sung, Yun Ju, De Las Fuentes, Lisa, Winkler, Thomas W, Chasman, Daniel I, Bentley, Amy R, Kraja, Aldi T, Ntalla, Ioanna, Warren, Helen R, Guo, Xiuqing, Schwander, Karen, Manning, Alisa K, Brown, Michael R, Aschard, Hugues, Feitosa, Mary F, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Kilpeläinen, Tuomas O, Richard, Melissa A, Aslibekyan, Stella, Bartz, Traci M, Dorajoo, Rajkumar, Li, Changwei, Liu, Yongmei, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Maris, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea RVR, Hsu, Fang-Chi, Jackson, Anne U, Kammerer, Candace M, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, Luan, Jian'an, Lyytikäinen, Leo-Pekka, McKenzie, Colin A, Nelson, Christopher P, Noordam, Raymond, Scott, Robert A, Sheu, Wayne HH, Stančáková, Alena, Takeuchi, Fumihiko, Van Der Most, Peter J, Varga, Tibor V, Waken, Robert J, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan E, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cade, Brian, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Cocca, Massimiliano, Collins, Francis S, Connell, John M, De Mutsert, Renée, De Silva, H Janaka, Dörr, Marcus, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelos, Faul, Jessica D, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Gu, C Charles, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hofman, Albert, Howard, Barbara V, Hunt, Steven C, Irvin, Marguerite R, Jia, Yucheng, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Kooperberg, Charles B, Krieger, Jose E, Kubo, Michiaki, Kutalik, Zoltan, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Joseph H, Lehne, Benjamin, Levy, Daniel, Lewis, Cora E, Li, Yize, Lifelines Cohort Study, Lim, Sing Hui, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Louie, Tin, Mägi, Reedik, Matsuda, Koichi, Meitinger, Thomas, Metspalu, Andres, Milani, Lili, Momozawa, Yukihide, Mosley, Thomas H, Nalls, Mike A, Nasri, Ubaydah, O'Connell, Jeff R, Ogunniyi, Adesola, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Porteous, David, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Sims, Mario, Sitlani, Colleen M, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Wilson, Gregory, Wojczynski, Mary K, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, Weir, David R, De Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost Bruno, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik KE, Oldehinkel, Albertine J, Pereira, Alexandre C, Perls, Thomas, Rauramaa, Rainer, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Wickremasinghe, Ananda R, Wu, Tangchun, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Hixson, James, Kardia, Sharon LR, Kritchevsky, Stephen B, Psaty, Bruce M, Van Dam, Rob M, Arnett, Donna K, Mook-Kanamori, Dennis O, Fornage, Myriam, Fox, Ervin R, Hayward, Caroline, Van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth JF, Reiner, Alex P, Rotimi, Charles N, Bierut, Laura J, Zhu, Xiaofeng, Cupples, L Adrienne, Province, Michael A, Rotter, Jerome I, Franks, Paul W, Rice, Kenneth, Elliott, Paul, Caulfield, Mark J, Gauderman, W James, Munroe, Patricia B, Rao, Dabeeru C, and Morrison, Alanna C
Subjects: Adult, Aged, 80 and over, Male, Receptors, Vasopressin, Polymorphism, Genetic, Adolescent, Tumor Suppressor Proteins, Racial Groups, Smoking, Membrane Proteins, Blood Pressure, Middle Aged, Antiporters, Caspase 9, 3. Good health, Young Adult, Sulfate Transporters, Hypertension, Ethnicity, Humans, Arterial Pressure, Female, Gene-Environment Interaction, Aged, Genome-Wide Association Study
Abstract: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene-smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene-smoking interaction analysis and 38 were newly identified (P < 5 × 10-8, false discovery rate < 0.05). We also identified nine new signals near known loci. Of the 136 loci, 8 showed significant interaction with smoking status. They include CSMD1 previously reported for insulin resistance and BP in the spontaneously hypertensive rats. Many of the 38 new loci show biologic plausibility for a role in BP regulation. SLC26A7 encodes a chloride/bicarbonate exchanger expressed in the renal outer medullary collecting duct. AVPR1A is widely expressed, including in vascular smooth muscle cells, kidney, myocardium and brain. FHAD1 is a long non-coding RNA overexpressed in heart failure. TMEM51 was associated with contractile function in cardiomyocytes. CASP9 plays a central role in cardiomyocyte apoptosis. Identified only in African ancestry were 30 novel loci. Our findings highlight the value of multi-ancestry investigations, particularly in studies of interaction with lifestyle factors, where genomic and lifestyle differences may contribute to novel findings.

21. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Author: Sung, Yun J, Winkler, Thomas W, De Las Fuentes, Lisa, Bentley, Amy R, Brown, Michael R, Kraja, Aldi T, Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Li, Changwei, Feitosa, Mary F, Kilpeläinen, Tuomas O, Richard, Melissa A, Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugues, Bartz, Traci M, Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Warren, Helen R, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Maris, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando Pires, Horimoto, Andrea RVR, Hsu, Fang-Chi, Jackson, Anne U, Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, 'An Luan, Jian, McKenzie, Colin A, Meian, He, Nelson, Christopher P, Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A, Sheu, Wayne HH, Stančáková, Alena, Takeuchi, Fumihiko, Van Der Most, Peter J, Varga, Tibor V, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cabrera, Claudia P, Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, CHARGE Neurology Working Group, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, COGENT-Kidney Consortium, Collins, Francis S, Connell, John M, De Mutsert, Renée, De Silva, H Janaka, Debette, Stephanie, Dörr, Marcus, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelos, Faul, Jessica D, Fisher, Virginia A, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, GIANT Consortium, Gigante, Bruna, Graff, Misa, Gu, C Charles, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V, Hunt, Steven, Irvin, Marguerite R, Jia, Yucheng, Joehanes, Roby, Justice, Anne E, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Komulainen, Pirjo, Kooperberg, Charles, Krieger, Jose E, Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lewis, Cora E, Li, Yize, Lifelines Cohort Study, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thomas, Metspalu, Andres, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P, Mosley, Thomas H, Munson, Peter, Murray, Alison D, Nalls, Mike A, Nasri, Ubaydah, Norris, Jill M, North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya X, Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, De Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik KE, Newman, Anne B, Oldehinkel, Albertine J, Pereira, Alexandre C, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Kardia, Sharon LR, Kritchevsky, Stephen B, Levy, Daniel, O'Connell, Jeff R, Psaty, Bruce M, Van Dam, Rob M, Sims, Mario, Arnett, Donna K, Mook-Kanamori, Dennis O, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N, Province, Michael A, Van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth JF, Reiner, Alex P, Rotter, Jerome I, Zhu, Xiaofeng, Bierut, Laura J, Gauderman, W James, Caulfield, Mark J, Elliott, Paul, Rice, Kenneth, Munroe, Patricia B, Morrison, Alanna C, Cupples, L Adrienne, Rao, Dabeeru C, and Chasman, Daniel I
Subjects: lifestyle, multi-ancestry, GWAS, blood pressure, GxE interactions, smoking, 3. Good health
Abstract: Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined ∼18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 × 10-8) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 × 10-8). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).

22. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Feitosa, Mary F, Kraja, Aldi T, Chasman, Daniel I, Sung, Yun J, Winkler, Thomas W, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Li, Changwei, Bentley, Amy R, Brown, Michael R, Schwander, Karen, Richard, Melissa A, Noordam, Raymond, Aschard, Hugues, Bartz, Traci M, Bielak, Lawrence F, Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P, Horimoto, Andrea RVR, Lohman, Kurt K, Manning, Alisa K, Rankinen, Tuomo, Smith, Albert V, Tajuddin, Salman M, Wojczynski, Mary K, Alver, Maris, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E, He, Meian, Hsu, Fang-Chi, Jackson, Anne U, Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'an, Matoba, Nana, Nolte, Ilja M, Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M Abdullah, Scott, Robert A, Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O, Van Der Most, Peter J, Varga, Tibor V, Vitart, Veronique, Wang, Yajuan, Ware, Erin B, Warren, Helen R, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E, Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morris, Brumat, Marco, Burke, Gregory L, Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Ida Chen, Yii-Der, Connell, John M, Correa, Adolfo, De Las Fuentes, Lisa, De Mutsert, Renée, De Silva, H Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B, Ehret, Georg, Eppinga, Ruben N, Evangelou, Evangelos, Faul, Jessica D, Felix, Stephan B, Forouhi, Nita G, Forrester, Terrence, Franco, Oscar H, Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gigante, Bruna, Gu, C Charles, Gu, Dongfeng, Hagenaars, Saskia P, Hallmans, Göran, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Howard, Barbara V, Ikram, M Arfan, InterAct Consortium, John, Ulrich, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O, Koh, Woon-Puay, Krieger, José E, Kritchevsky, Stephen B, Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lehne, Benjamin, Lewis, Cora E, Li, Yize, Lin, Shiow, Liu, Jianjun, Liu, Jingmin, Loh, Marie, Louie, Tin, Mägi, Reedik, McKenzie, Colin A, Meitinger, Thomas, Metspalu, Andres, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L, Momozawa, Yukihide, Nalls, Mike A, Nelson, Christopher P, Sotoodehnia, Nona, Norris, Jill M, O'Connell, Jeff R, Palmer, Nicholette D, Perls, Thomas, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Poulter, Neil, Raffel, Leslie J, Raitakari, Olli T, Roll, Kathryn, Rose, Lynda M, Rosendaal, Frits R, Rotter, Jerome I, Schmidt, Carsten O, Schreiner, Pamela J, Schupf, Nicole, Scott, William R, Sever, Peter S, Shi, Yuan, Sidney, Stephen, Sims, Mario, Sitlani, Colleen M, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Stringham, Heather M, Tan, Nicholas YQ, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Turner, Stephen T, Uitterlinden, André G, Vollenweider, Peter, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Williams, Christine, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Franks, Paul W, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Jonas, Jost Bruno, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S, Kutalik, Zoltán, Laakso, Markku, Laurie, Cathy C, Leander, Karin, Lehtimäki, Terho, Study, Lifelines Cohort, Magnusson, Patrik KE, Oldehinkel, Albertine J, Penninx, Brenda WJH, Polasek, Ozren, Porteous, David J, Rauramaa, Rainer, Samani, Nilesh J, Scott, James, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Weir, David R, Wickremasinghe, Ananda R, Wu, Tangchun, Zheng, Wei, Bouchard, Claude, Christensen, Kaare, Evans, Michele K, Gudnason, Vilmundur, Horta, Bernardo L, Kardia, Sharon LR, Liu, Yongmei, Pereira, Alexandre C, Psaty, Bruce M, Ridker, Paul M, Van Dam, Rob M, Gauderman, W James, Zhu, Xiaofeng, Mook-Kanamori, Dennis O, Fornage, Myriam, Rotimi, Charles N, Cupples, L Adrienne, Kelly, Tanika N, Fox, Ervin R, Hayward, Caroline, Van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Kooperberg, Charles, Palmas, Walter, Rice, Kenneth, Morrison, Alanna C, Elliott, Paul, Caulfield, Mark J, Munroe, Patricia B, Rao, Dabeeru C, Province, Michael A, and Levy, Daniel
Subjects: Adult, Aged, 80 and over, Male, Adolescent, Alcohol Drinking, Racial Groups, Blood Pressure, Middle Aged, Polymorphism, Single Nucleotide, 3. Good health, Pedigree, Cohort Studies, Young Adult, Hypertension, Humans, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, Aged, Genome-Wide Association Study
Abstract: Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10-5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10-8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10-8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension.

23. A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

Author: Bamidele O. Tayo, RJ Waken, Mario Sims, Diane M. Becker, Tõnu Esko, Yingchang Lu, Pamela J. Schreiner, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Archie Campbell, Ozren Polasek, Salman M. Tajuddin, Jing Hua Zhao, Barbara V. Howard, Saima Afaq, Vilmundur Gudnason, Lynda M. Rose, Francis S. Collins, Massimiliano Cocca, Ruth J. F. Loos, Yii-Der Ida Chen, W. James Gauderman, Jaspal S. Kooner, Lawrence F. Bielak, Ulrich Broeckel, Anuradhani Kasturiratne, Melissa A. Richard, Tomohiro Katsuya, Nicola D. Kerrison, Tin Aung, Lisa de las Fuentes, Lynne E. Wagenknecht, Oscar H. Franco, Yongmei Liu, Eric Boerwinkle, Nana Matoba, Saskia P. Hagenaars, Rob M. van Dam, Tibor V. Varga, Nilesh J. Samani, Tangchun Wu, Thomas H. Mosley, Caroline Hayward, Joseph H. Lee, Frida Renström, Tamara B. Harris, Alena Stančáková, Adesola Ogunniyi, Wen Bin Wei, Lenore J. Launer, Marcus Dörr, Xiuqing Guo, Jennifer A. Smith, Terho Lehtimäki, Dan E. Arking, Fang-Chi Hsu, Karin Leander, Martin Farrall, Konstantin Strauch, Albert V. Smith, Richard S. Cooper, Chiea Chuen Khor, Changwei Li, James E. Hixson, Sami Heikkinen, David R. Weir, Pirjo Komulainen, Renée de Mutsert, Raymond Noordam, Ubaydah Nasri, Paul M. Ridker, C. Charles Gu, Tamuno Alfred, Jerome I. Rotter, Nora Franceschini, Nita G. Forouhi, Lihua Wang, Alanna C. Morrison, Jian-Min Yuan, Ching-Yu Cheng, Peter S. Braund, Paul Elliott, Gregory P. Wilson, Jianjun Liu, Xiaofeng Zhu, Markku Laakso, Christian Gieger, Yukihide Momozawa, Rainer Rettig, Carsten Oliver Schmidt, Amy R. Bentley, Wei Zhao, Ioanna Ntalla, Kenneth Rice, Yoichiro Kamatani, Andres Metspalu, Helen R. Warren, Yechiel Friedlander, Susan Redline, Kurt Lohman, Cornelia M. van Duijn, Aravinda Chakravarti, Traci M. Bartz, Sarah E. Harris, Yih Chung Tham, He Gao, Mike A. Nalls, Mathilde Boissel, Donna K. Arnett, Harold Snieder, James S. Pankow, Babatunde L. Salako, Laura J. Bierut, Tin Louie, Albertine J. Oldehinkel, Xueling Sim, Thomas Meitinger, Maris Alver, Claudia Langenberg, Stephen B. Kritchevsky, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Alexandre C. Pereira, Michael R. Brown, Karen Schwander, Charles Kooperberg, Blair H. Smith, Annette Peters, Fernando Pires Hartwig, Yanhua Zhou, Jie Yao, Alisa K. Manning, Keng-Hung Lin, Dennis O. Mook-Kanamori, Ervin R. Fox, Tuomo Rankinen, Timo A. Lakka, Charles N. Rotimi, Nicholette D. Palmer, Jiang He, Nicholas J. Wareham, Jingmin Liu, Yun Ju Sung, Cathy C. Laurie, Donald W. Bowden, Yong-Bing Xiang, Lisa R. Yanek, B. Kuhnel, Nancy L. Pedersen, Yajuan Wang, Ananda R. Wickremasinghe, Jonathan Marten, Yi-Jen Hung, Dabeeru C. Rao, Bernardo L. Horta, Joel D. Kaufman, Barry I. Freedman, Chuan Gao, Olli T. Raitakari, Reedik Mägi, Solomon K. Musani, Albert Hofman, Wanqing Wen, Heming Wang, Xiao-Ou Shu, Y Liu, Mark J. Caulfield, Meian He, Daniel I. Chasman, Carl D. Langefeld, Charumathi Sabanayagam, Bruce M. Psaty, Jasmin Divers, R. Graham Barr, Chew-Kiat Heng, Stella Aslibekyan, John M. Starr, Stefan Weiss, Anuj Goel, Tuomas O. Kilpeläinen, Terrence Forrester, Mary F. Feitosa, Jost B. Jonas, Kae-Woei Liang, Colleen M. Sitlani, Daniel Levy, Marie Loh, Qing Duan, Aldi T. Kraja, Tien Yin Wong, Myriam Fornage, Andrea R. V. R. Horimoto, Michele K. Evans, David J. Porteous, Dina Vojinovic, Hua Tang, Michael A. Province, Ching-Ti Liu, Rainer Rauramaa, William R. Scott, Cora E. Lewis, Charles B. Eaton, Sharon L.R. Kardia, Michael Boehnke, James Scott, Colin A McKenzie, Jin-Fang Chai, Woon-Puay Koh, Yucheng Jia, Claude Bouchard, Peter S. Sever, Koichi Matsuda, Najaf Amin, Ulf de Faire, Walter Palmas, André G. Uitterlinden, Thomas T. Perls, Erin B. Ware, Wayne Huey-Herng Sheu, Michiaki Kubo, Ya Xing Wang, Hugh Watkins, Steven C. Hunt, Weihua Zhang, Johanna Kuusisto, Lili Milani, Rajkumar Dorajoo, Georg Ehret, L. Adrienne Cupples, Franco Giulianini, Zoltán Kutalik, Jose E Krieger, Kevin Sandow, Bruna Gigante, Alexander P. Reiner, Preeti Gupta, Heikki A. Koistinen, Treva Rice, Patricia B. Munroe, Wen-Jane Lee, Jennifer A. Brody, Paolo Gasparini, Paul W. Franks, Yik Ying Teo, Leo-Pekka Lyytikäinen, Thomas W. Winkler, Patricia A. Peyser, Ian J. Deary, Jessica D. Faul, Sing Hui Lim, Fumihiko Takeuchi, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, E. Shyong Tai, Candace M Kammerer, Mary K. Wojczynski, Pim van der Harst, Marzyeh Amini, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Benjamin Lehne, M. Waldenberger, Jeffrey R. O'Connell, Hugues Aschard, Ilaria Gandin, Kent D. Taylor, Igor Rudan, Christopher P. Nelson, John M. C. Connell, Jian'an Luan, Mickaël Canouil, Robert A. Scott, Yize Li, Marguerite R. Irvin, Sung, Yun Ju, de Las Fuentes, Lisa, Winkler, Thomas W, Chasman, Daniel I, Bentley, Amy R, Kraja, Aldi T, Ntalla, Ioanna, Warren, Helen R, Guo, Xiuqing, Schwander, Karen, Manning, Alisa K, Brown, Michael R, Aschard, Hugue, Feitosa, Mary F, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K, Kilpeläinen, Tuomas O, Richard, Melissa A, Aslibekyan, Stella, Bartz, Traci M, Dorajoo, Rajkumar, Li, Changwei, Liu, Yongmei, Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M, Tayo, Bamidele O, Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E, Hartwig, Fernando P, He, Meian, Horimoto, Andrea R V R, Hsu, Fang-Chi, Jackson, Anne U, Kammerer, Candace M, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, Luan, Jian'An, Lyytikäinen, Leo-Pekka, Mckenzie, Colin A, Nelson, Christopher P, Noordam, Raymond, Scott, Robert A, Sheu, Wayne H H, Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J, Varga, Tibor V, Waken, Robert J, Wang, Heming, Wang, Yajuan, Ware, Erin B, Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R, Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan E, Aung, Tin, Barr, R Graham, Bielak, Lawrence F, Boerwinkle, Eric, Bottinger, Erwin P, Braund, Peter S, Brody, Jennifer A, Broeckel, Ulrich, Cade, Brian, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Cocca, Massimiliano, Collins, Francis S, Connell, John M, de Mutsert, Renée, de Silva, H Janaka, Dörr, Marcu, Duan, Qing, Eaton, Charles B, Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D, Forouhi, Nita G, Franco, Oscar H, Friedlander, Yechiel, Gao, He, Gigante, Bruna, Gu, C Charle, Gupta, Preeti, Hagenaars, Saskia P, Harris, Tamara B, He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hofman, Albert, Howard, Barbara V, Hunt, Steven C, Irvin, Marguerite R, Jia, Yucheng, Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D, Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A, Kooperberg, Charles B, Krieger, Jose E, Kubo, Michiaki, Kutalik, Zoltan, Kuusisto, Johanna, Lakka, Timo A, Langefeld, Carl D, Langenberg, Claudia, Launer, Lenore J, Lee, Joseph H, Lehne, Benjamin, Levy, Daniel, Lewis, Cora E, Li, Yize, Lim, Sing Hui, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Yeheng, Loh, Marie, Lohman, Kurt K, Louie, Tin, Mägi, Reedik, Matsuda, Koichi, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Mosley, Thomas H, Nalls, Mike A, Nasri, Ubaydah, O'Connell, Jeff R, Ogunniyi, Adesola, Palmas, Walter R, Palmer, Nicholette D, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Peyser, Patricia A, Polasek, Ozren, Porteous, David, Raitakari, Olli T, Renström, Frida, Rice, Treva K, Ridker, Paul M, Robino, Antonietta, Robinson, Jennifer G, Rose, Lynda M, Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L, Sandow, Kevin, Schmidt, Carsten O, Schreiner, Pamela J, Scott, William R, Sever, Peter, Sims, Mario, Sitlani, Colleen M, Smith, Blair H, Smith, Jennifer A, Snieder, Harold, Starr, John M, Strauch, Konstantin, Tang, Hua, Taylor, Kent D, Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Wilson, Gregory, Wojczynski, Mary K, Xiang, Yong-Bing, Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B, Becker, Diane M, Boehnke, Michael, Bowden, Donald W, Chambers, John C, Chen, Yii-Der Ida, Weir, David R, de Faire, Ulf, Deary, Ian J, Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Freedman, Barry I, Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost Bruno, Kato, Norihiro, Kooner, Jaspal S, Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K E, Oldehinkel, Albertine J, Pereira, Alexandre C, Perls, Thoma, Rauramaa, Rainer, Redline, Susan, Rettig, Rainer, Samani, Nilesh J, Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E, Wareham, Nicholas J, Watkins, Hugh, Wickremasinghe, Ananda R, Wu, Tangchun, Kamatani, Yoichiro, Laurie, Cathy C, Bouchard, Claude, Cooper, Richard S, Evans, Michele K, Gudnason, Vilmundur, Hixson, Jame, Kardia, Sharon L R, Kritchevsky, Stephen B, Psaty, Bruce M, van Dam, Rob M, Arnett, Donna K, Mook-Kanamori, Dennis O, Fornage, Myriam, Fox, Ervin R, Hayward, Caroline, van Duijn, Cornelia M, Tai, E Shyong, Wong, Tien Yin, Loos, Ruth J F, Reiner, Alex P, Rotimi, Charles N, Bierut, Laura J, Zhu, Xiaofeng, Cupples, L Adrienne, Province, Michael A, Rotter, Jerome I, Franks, Paul W, Rice, Kenneth, Elliott, Paul, Caulfield, Mark J, Gauderman, W Jame, Munroe, Patricia B, Rao, Dabeeru C, Morrison, Alanna C, Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Département de Biologie Computationnelle - Department of Computational Biology, Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Harvard School of Public Health, European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), The University of Texas Health Science Center at Houston (UTHealth), U.S. National Heart, Lung, and Blood Institute (NHLBI) (K25HL121091 to Y.J.S.), National Institutes of Health (R01HL118305), We thank anonymous reviewers for critical reading and providing constructive and insightful comments, which substantially improved the article. This project, like several other projects, was carried out as part of the CHARGE Gene–Lifestyle Interactions Working Group., Conflict of Interest statement. The authors declare no competing financial interests except for the following: B.M.P. serves on the Data and Safety Monitoring Board of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson, O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health), L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,‘Markers for Addiction’ covering the use of certain SNPs in determining the diagnosis, prognosis and treatment of addiction, P.S. has received research awards from Pfizer Inc, J.B.J. is a consultant for Mundipharma Co. (Cambridge, UK), Patent holder with Biocompatibles UK Ltd (Franham, Surrey, UK) (title: treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor, Patent number: 20120263794) and Patent application with University of Heidelberg (Heidelberg, Germany) (title: agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia, Europäische Patentanmeldung 15000771.4), P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative project, M.A.N.'s participation is supported by a consulting contract between Data Tecnica International and the National Institute on Aging, National Institutes of Health, Bethesda, MD, USA, M.A.N. also consults for Illumina Inc, the Michael J. Fox Foundation and University of California Healthcare among others, and M.J. C. is chief scientist for Genomics England, a UK government company., Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Epidemiology, Internal Medicine, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), University Management, Department of Medicine, University of Helsinki, HUS Abdominal Center, Endokrinologian yksikkö, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, and Medical Research Council (MRC)
Subjects: Male, Receptors, Vasopressin, multi-ancestry, Genome-wide association study, Blood Pressure, HYDROCARBON RECEPTOR AHR, 030204 cardiovascular system & hematology, Antiporters, gene-smoking interaction, 0302 clinical medicine, Polymorphism (computer science), genome-wide study, Ethnicity, OXIDATIVE STRESS, Association Studies Article, 11 Medical and Health Sciences, Genetics (clinical), Genetics & Heredity, Genetics, ddc:616, Aged, 80 and over, 0303 health sciences, [STAT.AP]Statistics [stat]/Applications [stat.AP], DEPENDENT HYPERTENSION, CARDIOVASCULAR RISK, Smoking, 1184 Genetics, developmental biology, physiology, General Medicine, ASSOCIATION, Middle Aged, Caspase 9, 3. Good health, Pulse pressure, ENVIRONMENT INTERACTION, Sulfate Transporters, T-CADHERIN, Hypertension, Female, Life Sciences & Biomedicine, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Adult, Biochemistry & Molecular Biology, Mean arterial pressure, Adolescent, Diastole, Biology, elevated blood pressure, gene-smoking interactions, 03 medical and health sciences, Young Adult, Insulin resistance, Lifelines Cohort Study, medicine, Humans, Arterial Pressure, Molecular Biology, METAANALYSIS, 030304 developmental biology, Aged, Science & Technology, Polymorphism, Genetic, Tumor Suppressor Proteins, Racial Groups, Membrane Proteins, 06 Biological Sciences, SYSTOLIC BLOOD-PRESSURE, BODY-MASS INDEX, medicine.disease, Blood pressure, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, Heart failure, 1182 Biochemistry, cell and molecular biology, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, Gene-Environment Interaction, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], Genome-Wide Association Study
Abstract: Elevated blood pressure (BP), a leading cause of global morbidity and mortality, is influenced by both genetic and lifestyle factors. Cigarette smoking is one such lifestyle factor. Across five ancestries, we performed a genome-wide gene–smoking interaction study of mean arterial pressure (MAP) and pulse pressure (PP) in 129 913 individuals in stage 1 and follow-up analysis in 480 178 additional individuals in stage 2. We report here 136 loci significantly associated with MAP and/or PP. Of these, 61 were previously published through main-effect analysis of BP traits, 37 were recently reported by us for systolic BP and/or diastolic BP through gene–smoking interaction analysis and 38 were newly identified (P
Published: 2019

24. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

Author: Patricia A. Peyser, Jessica D. Faul, Sing Hui Lim, Xu Chen, Brian E. Cade, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, W. James Gauderman, Wei Zhao, Andres Metspalu, R. Graham Barr, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Daniel I. Chasman, Jasmin Divers, Fernando Pires Hartwig, Jing Hua Zhao, Yu Caizheng, Roby Joehanes, Nora Franceschini, Nita G. Forouhi, Charumathi Sabanayagam, Paul M. Ridker, Yun J. Sung, Mary F. Feitosa, Barbara V. Howard, Vilmundur Gudnason, Jost B. Jonas, Hua Tang, Yukihide Momozawa, Michael R. Brown, Tibor V. Varga, Franco Giulianini, Francis S. Collins, Alexander P. Reiner, Ulrich Broeckel, Tuomo Rankinen, Preeti Gupta, Tin Louie, Eric Boerwinkle, Saskia P. Hagenaars, Mark J. Caulfield, Albert Hofman, Aravinda Chakravarti, Paul W. Franks, Nicole Schupf, E. Shyong Tai, Carl D. Langefeld, Carsten Oliver Schmidt, Lawrence F. Bielak, Treva Rice, Anne B. Newman, Ioanna Ntalla, Kae-Woei Liang, Nilesh J. Samani, Alena Stančáková, Thomas H. Mosley, Dan E. Arking, Kenneth Rice, Bruce M. Psaty, Jirong Long, Yechiel Friedlander, Jianjun Liu, Donna K. Arnett, Ya X. Wang, Xiuqing Guo, Anne E. Justice, Pamela J. Schreiner, Renée de Mutsert, Lisa de las Fuentes, Marcus Dörr, Amy R. Bentley, Susan Redline, Cornelia M. van Duijn, Melissa A. Richard, Sarah E. Harris, Pirjo Komulainen, Nicholette D. Palmer, Alexandre C. Pereira, Michele K. Evans, Jie Yao, Adesola Ogunniyi, Wen Bin Wei, Anuradhani Kasturiratne, Yoichiro Kamatani, Charles Kooperberg, Helen R. Warren, Shiow Lin, Ozren Polasek, Makoto Hirata, Anubha Mahajan, Yingchang Lu, Jonathan Marten, Claudia P. Cabrera, Chuan Gao, Oscar H. Franco, Yongmei Liu, Mathilde Boissel, Olli T. Raitakari, Xiao-Ou Shu, Yii-Der Ida Chen, Y Liu, Claudia Langenberg, C. Charles Gu, Cathy C. Laurie, Tamuno Alfred, L. Adrienne Cupples, Yajuan Wang, Colin A. McKenzie, Mika Kähönen, Yize Li, Xiaofeng Zhu, Nana Matoba, James Scott, Marguerite R. Irvin, Markku Laakso, Frida Renström, Woon-Puay Koh, Dabeeru C. Rao, Yucheng Jia, Paul Elliott, Tangchun Wu, Caroline Hayward, Tamara B. Harris, Alison D. Murray, Karin Leander, Reedik Mägi, Keng-Hung Lin, Harold Snieder, Laura J. Bierut, Christine Williams, Solomon K. Musani, Michael A. Province, Charles B. Eaton, Sharon L.R. Kardia, Mario Sims, Steven C. Hunt, Stephen B. Kritchevsky, Weihua Zhang, David R. Weir, Andrea R. V. R. Horimoto, Saima Afaq, Hugues Aschard, Ilaria Gandin, Michiaki Kubo, Jaspal S. Kooner, Peter S. Braund, Jeffrey R. O'Connell, Kent D. Taylor, Annette Peters, Wei Zheng, Rainer Rettig, Nicola D. Kerrison, Donald W. Bowden, Ruth J. F. Loos, Tanika N. Kelly, Dennis O. Mook-Kanamori, Terrence Forrester, Igor Rudan, Brigitte Kühnel, Christopher P. Nelson, Ching-Yu Cheng, Alanna C. Morrison, Tuomas O. Kilpeläinen, Jian-Min Yuan, Bruna Gigante, Lisa R. Yanek, Ching-Ti Liu, Ananda R. Wickremasinghe, Michael Boehnke, Tin Aung, Jin-Fang Chai, Kaare Christensen, Wen-Jane Lee, Stéphanie Debette, Jennifer A. Brody, Wayne Huey-Herng Sheu, John M. C. Connell, Ganesh Chauhan, Jian'an Luan, Melanie Waldenberger, Erin B. Ware, Paolo Gasparini, Chew-Kiat Heng, Lili Milani, Alisa K. Manning, José Eduardo Krieger, Kiang Liu, Mickaël Canouil, Robert A. Scott, Yik Ying Teo, Gregory P. Wilson, Stella Aslibekyan, Andrew P. Morris, Thomas Meitinger, Jennifer A. Smith, Yi-Jen Hung, Myriam Fornage, Dina Vojinovic, William R. Scott, Virginia Fisher, Peter S. Sever, André G. Uitterlinden, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Rajkumar Dorajoo, Georg Ehret, Heming Wang, Sandosh Padmanabhan, Jingmin Liu, Colleen M. Sitlani, Anuj Goel, Bamidele O. Tayo, Daniel Levy, Barry I. Freedman, Marie Loh, Yanhua Zhou, Charles N. Rotimi, Qing Duan, Aldi T. Kraja, He Meian, Archie Campbell, Kari E. North, Tien Yin Wong, Salman M. Tajuddin, Traci M. Bartz, Mike A. Nalls, Misa Graff, Dongfeng Gu, Sudha Seshadri, Tõnu Esko, Antonietta Robino, Anne U. Jackson, H. Janaka de Silva, Peter J. van der Most, Fang-Chi Hsu, Chiea Chuen Khor, Changwei Li, Sami Heikkinen, Maris Alver, Karen Schwander, Wanqing Wen, Rainer Rauramaa, Lynne E. Wagenknecht, Ubaydah Nasri, Peter J. Munson, He Gao, Evangelos Evangelou, Philippe Froguel, Ervin R. Fox, Christian Gieger, Kurt Lohman, James S. Pankow, Nicholas J. Wareham, Lynda M. Rose, Massimiliano Cocca, Rob M. van Dam, John M. Starr, Martin Farrall, Stefan Weiss, Konstantin Strauch, Albert V. Smith, Jill M. Norris, Raymond Noordam, Cora E. Lewis, Claude Bouchard, Ulf de Faire, Walter Palmas, Diane M. Becker, Kevin Sandow, Tomohiro Katsuya, Jiang He, Nancy L. Pedersen, Bernardo L. Horta, Joel D. Kaufman, Terho Lehtimäki, Heikki A. Koistinen, Thomas W. Winkler, Ian J. Deary, Richard S. Cooper, Fumihiko Takeuchi, Jerome I. Rotter, Lihua Wang, Yih Chung Tham, Babatunde L. Salako, Mary K. Wojczynski, Pim van der Harst, Jennifer G. Robinson, Erwin P. Bottinger, Alan B. Zonderman, Patricia B. Munroe, Ehret, Georg Benedikt, Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), Bordeaux population health (BPH), Université de Bordeaux (UB)-Institut de Santé Publique, d'Épidémiologie et de Développement (ISPED)-Institut National de la Santé et de la Recherche Médicale (INSERM), The various Gene-Lifestyle Interaction projects, including this one, are largely supported by a grant from the U.S. National Heart, Lung, and Blood Institute (NHLBI), the National Institutes of Health, R01HL118305. A Career Development Award (K25HL121091), also from the NHLBI, enabled Y.J.S. to lead this project. Full set of study-specific funding sources and acknowledgments appear in the Supplemental Note., Sung, Yun J., Winkler, Thomas W., de las Fuentes, Lisa, Bentley, Amy R., Brown, Michael R., Kraja, Aldi T., Schwander, Karen, Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Lu, Yingchang, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Feitosa, Mary F., Kilpeläinen, Tuomas O., Richard, Melissa A., Noordam, Raymond, Aslibekyan, Stella, Aschard, Hugue, Bartz, Traci M., Dorajoo, Rajkumar, Liu, Yongmei, Manning, Alisa K., Rankinen, Tuomo, Smith, Albert Vernon, Tajuddin, Salman M., Tayo, Bamidele O., Warren, Helen R., Zhao, Wei, Zhou, Yanhua, Matoba, Nana, Sofer, Tamar, Alver, Mari, Amini, Marzyeh, Boissel, Mathilde, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gandin, Ilaria, Gao, Chuan, Giulianini, Franco, Goel, Anuj, Harris, Sarah E., Hartwig, Fernando Pire, Horimoto, Andrea R. V. R., Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Kühnel, Brigitte, Leander, Karin, Lee, Wen-Jane, Lin, Keng-Hung, ’an Luan, Jian, Mckenzie, Colin A., Meian, He, Nelson, Christopher P., Rauramaa, Rainer, Schupf, Nicole, Scott, Robert A., Sheu, Wayne H. H., Stančáková, Alena, Takeuchi, Fumihiko, van der Most, Peter J., Varga, Tibor V., Wang, Heming, Wang, Yajuan, Ware, Erin B., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Alfred, Tamuno, Amin, Najaf, Arking, Dan, Aung, Tin, Barr, R. Graham, Bielak, Lawrence F., Boerwinkle, Eric, Bottinger, Erwin P., Braund, Peter S., Brody, Jennifer A., Broeckel, Ulrich, Cabrera, Claudia P., Cade, Brian, Caizheng, Yu, Campbell, Archie, Canouil, Mickaël, Chakravarti, Aravinda, Chauhan, Ganesh, Christensen, Kaare, Cocca, Massimiliano, Collins, Francis S., Connell, John M., de Mutsert, Renée, de Silva, H. Janaka, Debette, Stephanie, Dörr, Marcu, Duan, Qing, Eaton, Charles B., Ehret, Georg, Evangelou, Evangelo, Faul, Jessica D., Fisher, Virginia A., Forouhi, Nita G., Franco, Oscar H., Friedlander, Yechiel, Gao, He, Gigante, Bruna, Graff, Misa, Gu, C. Charle, Gu, Dongfeng, Gupta, Preeti, Hagenaars, Saskia P., Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Hofman, Albert, Howard, Barbara V., Hunt, Steven, Irvin, Marguerite R., Jia, Yucheng, Joehanes, Roby, Justice, Anne E., Katsuya, Tomohiro, Kaufman, Joel, Kerrison, Nicola D., Khor, Chiea Chuen, Koh, Woon-Puay, Koistinen, Heikki A., Komulainen, Pirjo, Kooperberg, Charle, Krieger, Jose E., Kubo, Michiaki, Kuusisto, Johanna, Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lim, Sing Hui, Lin, Shiow, Liu, Ching-Ti, Liu, Jianjun, Liu, Jingmin, Liu, Kiang, Liu, Yeheng, Loh, Marie, Lohman, Kurt K., Long, Jirong, Louie, Tin, Mägi, Reedik, Mahajan, Anubha, Meitinger, Thoma, Metspalu, Andre, Milani, Lili, Momozawa, Yukihide, Morris, Andrew P., Mosley, Thomas H., Munson, Peter, Murray, Alison D., Nalls, Mike A., Nasri, Ubaydah, Norris, Jill M., North, Kari, Ogunniyi, Adesola, Padmanabhan, Sandosh, Palmas, Walter R., Palmer, Nicholette D., Pankow, James S., Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Polasek, Ozren, Raitakari, Olli T., Renström, Frida, Rice, Treva K., Ridker, Paul M., Robino, Antonietta, Robinson, Jennifer G., Rose, Lynda M., Rudan, Igor, Sabanayagam, Charumathi, Salako, Babatunde L., Sandow, Kevin, Schmidt, Carsten O., Schreiner, Pamela J., Scott, William R., Seshadri, Sudha, Sever, Peter, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Uitterlinden, André G., Waldenberger, Melanie, Wang, Lihua, Wang, Ya X., Wei, Wen Bin, Williams, Christine, Wilson, Gregory, Wojczynski, Mary K., Yao, Jie, Yuan, Jian-Min, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Chen, Yii-Der Ida, de Faire, Ulf, Deary, Ian J., Esko, Tõnu, Farrall, Martin, Forrester, Terrence, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Horta, Bernardo Lessa, Hung, Yi-Jen, Jonas, Jost B., Kato, Norihiro, Kooner, Jaspal S., Laakso, Markku, Lehtimäki, Terho, Liang, Kae-Woei, Magnusson, Patrik K. E., Newman, Anne B., Oldehinkel, Albertine J., Pereira, Alexandre C., Redline, Susan, Rettig, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, van der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Kamatani, Yoichiro, Laurie, Cathy C., Bouchard, Claude, Cooper, Richard S., Evans, Michele K., Gudnason, Vilmundur, Kardia, Sharon L. R., Kritchevsky, Stephen B., Levy, Daniel, O'Connell, Jeff R., Psaty, Bruce M., van Dam, Rob M., Sims, Mario, Arnett, Donna K., Mook-Kanamori, Dennis O., Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Fornage, Myriam, Rotimi, Charles N., Province, Michael A., van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Loos, Ruth J. F., Reiner, Alex P., Rotter, Jerome I., Zhu, Xiaofeng, Bierut, Laura J., Gauderman, W. Jame, Caulfield, Mark J., Elliott, Paul, Rice, Kenneth, Munroe, Patricia B., Morrison, Alanna C., Cupples, L. Adrienne, Rao, Dabeeru C., Chasman, Daniel I., Marten, Jonathan [0000-0001-6916-2014], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Epidemiology, Internal Medicine, Gastroenterology & Hepatology, Clinicum, Department of Medicine, Endokrinologian yksikkö, HUS Internal Medicine and Rehabilitation, and Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS)
Subjects: 0301 basic medicine, Male, multi-ancestry, Smoking/genetics, Genome-wide association study, Continental Population Groups/genetics, INTIMA-MEDIA THICKNESS, Cohort Studies, Diastole, Polymorphism (computer science), GWAS, TRANSTORNOS RELACIONADOS AO USO DE ÁLCOOL, GENE-ENVIRONMENT INTERACTION, Genetics (clinical), ddc:616, INSULIN-RESISTANCE, Multi-ancestry, Smoking, 1184 Genetics, developmental biology, physiology, blood pressure, GxE interaction, Diastole/genetics, 3. Good health, FALSE DISCOVERY RATE, Blood pressure, Medical genetics, CORONARY-ARTERY-DISEASE, Female, Single Nucleotide/genetics, Systole/genetics, BODY-MASS INDEX, ASSOCIATION ANALYSIS, COMMON VARIANTS, METAANALYSIS, DISEASE, OBESITY, JOINT, medicine.medical_specialty, lifestyle, SUSCEPTIBILITY LOCI, Blood Pressure/genetics, Systole, Quantitative Trait Loci, Single-nucleotide polymorphism, Accounting, Biology, Quantitative trait locus, Polymorphism, Single Nucleotide, GxE interactions, Article, smoking, 03 medical and health sciences, Genetic, medicine, Genetics, Journal Article, Humans, Polymorphism, Genetic association, ALCOHOL DEPENDENCE, business.industry, Racial Groups, Reproducibility of Results, Epistasis, Genetic, ta3121, Lifestyle, Genetic architecture, NICOTINE DEPENDENCE, 030104 developmental biology, Genetic Loci, Epistasis, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, 3111 Biomedicine, business, Quantitative Trait Loci/genetics, Genome-Wide Association Study
Abstract: The authors declare no competing financial interests except for the following. B.M.P. serves on the DSMB of a clinical trial funded by the manufacturer (Zoll LifeCor) and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson; O.H.F. received grants from Metagenics (on women’s health and epigenetics) and from Nestle (on child health); L.J.B. is listed as an inventor on Issued U.S. Patent 8,080,371,“Markers for Addiction” covering the use of certain SNPs in determining the diagnosis, prognosis, and treatment of addiction; P.S. has received research awards from Pfizer Inc., is a consultant for Mundipharma Co. (Cambridge, UK), is a patent holder with Biocompatibles UK Ltd. (Franham, Surrey, UK) (Title: Treatment of eye diseases using encapsulated cells encoding and secreting neuroprotective factor and/or anti-angiogenic factor; Patent number: 20120263794), and has a patent application with University of Heidelberg (Heidelberg, Germany) (Title: Agents for use in the therapeutic or prophylactic treatment of myopia or hyperopia; Europäische Patentanmeldung 15 000 771.4); P.W.F. has been a paid consultant for Eli Lilly and Sanofi Aventis and has received research support from several pharmaceutical companies as part of a European Union Innovative Medicines Initiative (IMI) project; M.A.N.’s participation is supported by a consulting contract between Data Tecnica Internation and the National Institute on Aging (NIH, Bethesda, MD, USA), and he also consults for Illumina, Inc., the Michael J. Fox Foundation, and University of California Healthcare among others; and M.J.C. is Chief Scientist for Genomics England, a UK government company.; International audience; Genome-wide association analysis advanced understanding of blood pressure (BP), a major risk factor for vascular conditions such as coronary heart disease and stroke. Accounting for smoking behavior may help identify BP loci and extend our knowledge of its genetic architecture. We performed genome-wide association meta-analyses of systolic and diastolic BP incorporating gene-smoking interactions in 610,091 individuals. Stage 1 analysis examined approximately 18.8 million SNPs and small insertion/deletion variants in 129,913 individuals from four ancestries (European, African, Asian, and Hispanic) with follow-up analysis of promising variants in 480,178 additional individuals from five ancestries. We identified 15 loci that were genome-wide significant (p < 5 x 10(-8)) in stage 1 and formally replicated in stage 2. A combined stage 1 and 2 meta-analysis identified 66 additional genome-wide significant loci (13, 35, and 18 loci in European, African, and trans-ancestry, respectively). A total of 56 known BP loci were also identified by our results (p < 5 x 10(-8)). Of the newly identified loci, ten showed significant interaction with smoking status, but none of them were replicated in stage 2. Several loci were identified in African ancestry, highlighting the importance of genetic studies in diverse populations. The identified loci show strong evidence for regulatory features and support shared pathophysiology with cardiometabolic and addiction traits. They also highlight a role in BP regulation for biological candidates such as modulators of vascular structure and function (CDKN1B, BCAR1-CFDP1, PXDN, EEA1), ciliopathies (SDCCAG8, RPGRIP1L), telomere maintenance (TNKS, PINX1, AKTIP), and central dopaminergic signaling (MSRA, EBF2).
Published: 2018

25. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Author: Rico Rueedi, Yuri Milaneschi, Brenda W.J.H. Penninx, Neil Poulter, Karen Schwander, Marco Brumat, Kenneth Rice, Yize Li, Veronique Vitart, Ioanna Ntalla, Michele K. Evans, Jeffrey R. O'Connell, Nilesh J. Samani, Colleen M. Sitlani, W. James Gauderman, Xuan Deng, Paul M. Ridker, Yun J. Sung, Yukihide Momozawa, Archie Campbell, Tin Louie, Nona Sotoodehnia, Yii-Der Ida Chen, Cornelia M. van Duijn, Tanika N. Kelly, Peter S. Sever, André G. Uitterlinden, Brigitte Kühnel, John M. Starr, Lawrence F. Bielak, Christopher P. Nelson, Wanqing Wen, Stephan B. Felix, Stefan Weiss, Daniel Levy, Nicholette D. Palmer, Alisa K. Manning, Salman M. Tajuddin, Jill M. Norris, Marie Loh, M. Abdullah Said, Alena Stančáková, Anuradhani Kasturiratne, John M. C. Connell, Jian'an Luan, Tuomas O. Kilpeläinen, Amy R. Bentley, Stephen Sidney, Alan B. Zonderman, Karin Leander, David J. Porteous, Jianjun Liu, Tin Aung, Charles B. Eaton, Sharon L.R. Kardia, Rajkumar Dorajoo, Stephen Turner, Michael Boehnke, Diane M. Becker, Cora E. Lewis, Ozren Polasek, Mickaël Canouil, Kurt Lohman, Georg Ehret, Sarah E. Harris, Robert A. Scott, Claude Bouchard, Lynne E. Wagenknecht, Mohsen Ghanbari, Stephen B. Kritchevsky, Jin-Fang Chai, Gregory L. Burke, Jiang He, Federica Laguzzi, Michael R. Brown, Walter Palmas, Lili Milani, Thomas T. Perls, Tibor V. Varga, José Eduardo Krieger, Erin B. Ware, Tamara B. Harris, Tomohiro Katsuya, Nicole Schupf, Mika Kähönen, Nana Matoba, Hugues Aschard, Ilaria Gandin, Jennifer A. Smith, Traci M. Bartz, James Scott, Tuomo Rankinen, Yuan Shi, Meian He, Timo A. Lakka, Helen R. Warren, Mike A. Nalls, Kent D. Taylor, Woon-Puay Koh, Ya Xing Wang, Muhammad Riaz, Sandosh Padmanabhan, Mary F. Feitosa, Jost B. Jonas, Paul Elliott, Christian Gieger, Terho Lehtimäki, Kaare Christensen, Maris Alver, Pirjo Komulainen, Pamela J. Schreiner, M. Arfan Ikram, David R. Weir, Charles Kooperberg, Oscar H. Franco, Yongmei Liu, Lisa de las Fuentes, Nancy L. Pedersen, Thomas W. Winkler, Bruna Gigante, Göran Hallmans, Ingrid B. Borecki, Shiow Lin, Ian J. Deary, Wei Zheng, Yajuan Wang, Bernardo L. Horta, Heather M. Stringham, Bruce M. Psaty, Paul W. Franks, Weihua Zhang, Nora Franceschini, Adolfo Correa, Nita G. Forouhi, Xiuqing Guo, Fumihiko Takeuchi, L. Adrienne Cupples, William R. Scott, Zoltán Kutalik, He Gao, Nicholas J. Wareham, E. Shyong Tai, Aravinda Chakravarti, C. Charles Gu, Paolo Gasparini, Albertine J. Oldehinkel, Xueling Sim, Norihiro Kato, Evangelos Evangelou, Philippe Froguel, Colin A. McKenzie, Qing Duan, Aldi T. Kraja, Carsten Oliver Schmidt, Bamidele O. Tayo, Xiaofeng Zhu, Thomas Meitinger, Mary K. Wojczynski, Markku Laakso, Mark J. Caulfield, Carl D. Langefeld, Jingzhong Ding, Yechiel Friedlander, Tien Yin Wong, Virginia Fisher, Raymond Noordam, Caizheng Yu, Pim van der Harst, Yik Ying Teo, Ervin R. Fox, Sabanayagam Charumathi, Jonathan Marten, Nicholas Y.Q. Tan, Jerome I. Rotter, Harold Snieder, Karen L. Mohlke, Christine Williams, Olli T. Raitakari, Renée de Mutsert, Lihua Wang, Kathryn Roll, Jingmin Liu, Dongfeng Gu, Wei Zhao, Lynda M. Rose, Michael A. Province, Fernando Pires Hartwig, Rob M. van Dam, Barry I. Freedman, Andres Metspalu, Donald W. Bowden, Andrea R. V. R. Horimoto, Martin Farrall, Frits R. Rosendaal, Rainer Rauramaa, Konstantin Strauch, Albert V. Smith, Yanick Hagemeijer, Michiaki Kubo, Ilja M. Nolte, Tõnu Esko, Yih Chung Tham, Cathy C. Laurie, Antonietta Robino, Anne U. Jackson, Chuan Gao, Dabeeru C. Rao, Xiao-Ou Shu, H. Janaka de Silva, Morris J. Brown, Alanna C. Morrison, Peter J. van der Most, Jian-Min Yuan, Melanie Waldenberger, Leslie J. Raffel, Ulrich John, Fang-Chi Hsu, Reedik Mägi, Solomon K. Musani, Chiea Chuen Khor, Mario Sims, Ruben N. Eppinga, Melissa A. Richard, Yoichiro Kamatani, Changwei Li, Qiuyin Cai, Daniel I. Chasman, Mathilde Boissel, Claudia Langenberg, Sami Heikkinen, Jasmin Divers, Saima Afaq, Wen Bin Wei, Jaspal S. Kooner, Terrence Forrester, Hua Tang, Charles N. Rotimi, Anuj Goel, Annette Peters, Tangchun Wu, Dennis O. Mook-Kanamori, Caroline Hayward, Ching-Yu Cheng, Lisa R. Yanek, Ananda R. Wickremasinghe, Chew-Kiat Heng, Myriam Fornage, Dina Vojinovic, Najaf Amin, Lenore J. Launer, Hugh Watkins, Johanna Kuusisto, Jing Hua Zhao, Barbara V. Howard, Vilmundur Gudnason, Ulrich Broeckel, Eric Boerwinkle, Saskia P. Hagenaars, Dan E. Arking, Peter Vollenweider, Alexandre C. Pereira, Jie Yao, Makoto Hirata, Patricia B. Munroe, Patricia A. Peyser, Jessica D. Faul, Xu Chen, Patrik K. E. Magnusson, John C. Chambers, Tamar Sofer, Marzyeh Amini, Benjamin Lehne, Epidemiology, Erasmus MC other, Neurology, Radiology & Nuclear Medicine, Internal Medicine, Læknadeild (HÍ), Faculty of Medicine (UI), School of Health Sciences (UI), Heilbrigðisvísindasvið (HÍ), Háskóli Íslands (HÍ), University of Iceland (UI), Life Course Epidemiology (LCE), Interdisciplinary Centre Psychopathology and Emotion regulation (ICPE), Cardiovascular Centre (CVC), Washington University School of Medicine in St. Louis, Washington University in Saint Louis (WUSTL), Brigham and Women's Hospital [Boston], Harvard Medical School [Boston] (HMS), University of Regensburg, Queen Mary University of London (QMUL), Harbor UCLA Medical Center [Torrance, Ca.], Department of Epidemiology, University of North Carolina [Chapel Hill] (UNC), University of North Carolina System (UNC)-University of North Carolina System (UNC)-UNC Gillings School of Global Public Health-Carolina Center for Genome Sciences, Northwestern Polytechnical University [Xi'an] (NPU), Centre for Molecular Epidemiology, National University of Singapore (NUS), Harvard School of Public Health, Centre de Bioinformatique, Biostatistique et Biologie Intégrative (C3BI), Institut Pasteur [Paris]-Centre National de la Recherche Scientifique (CNRS), European Genomic Institute for Diabetes - FR 3508 (EGID), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Institut Pasteur de Lille, Réseau International des Instituts Pasteur (RIIP), National Institutes of Health [Bethesda] (NIH), The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript., AGES (Age Gene/Environment Susceptibility Reykjavik Study) is approved by the Icelandic National Bioethics Committee, VSN: 00–063. The researchers are indebted to the participants for their willingness to participate in the study. ARIC (Atherosclerosis Risk in Communities): The authors thank the staff and participants of the ARIC study for their important contributions. CARDIA (Coronary Artery Risk Development in Young Adults): This manuscript has been reviewed and approved by CARDIA for scientific content. CHS (Cardiovascular Health Study): A full list of principal CHS investigators and institutions can be found at CHS-NHLBI.org. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. IGMM (Institute of Genetics and Molecular Medicine): CROATIA-Korcula: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools and the Croatian Institute for Public Health. We would like to acknowledge the invaluable contributions of the recruitment team in Korcula, the administrative teams in Croatia and Edinburgh and the participants. The SNP genotyping for the CROATIA-Korcula cohort was performed in Helmholtz Zentrum München, Neuherberg, Germany. CROATIA-Vis: We would like to acknowledge the staff of several institutions in Croatia that supported the field work, including but not limited to The University of Split and Zagreb Medical Schools, the Institute for Anthropological Research in Zagreb and Croatian Institute for Public Health. The SNP genotyping for the CROATIA-Vis cohort was performed in the core genotyping laboratory of the Wellcome Trust Clinical Research Facility at the Western General Hospital, Edinburgh, Scotland. GS:SFHS: Generation Scotland received core support from the Chief Scientist Office of the Scottish Government Health Directorates [CZD/16/6] and the Scottish Funding Council [HR03006]. Genotyping of the GS:SFHS samples was carried out by the Genetics Core Laboratory at the Wellcome Trust Clinical Research Facility, Edinburgh, Scotland. ERF (Erasmus Rucphen Family study): We are grateful to all study participants and their relatives, general practitioners and neurologists for their contributions and to P. Veraart for her help in genealogy, J. Vergeer for the supervision of the laboratory work, P. Snijders for his help in data collection and E.M. van Leeuwen for genetic imputation. GENOA (Genetic Epidemiology Network of Arteriopathy): Genotyping was performed at the Mayo Clinic (Stephen T. Turner, MD, Mariza de Andrade PhD, Julie Cunningham, PhD). We thank Eric Boerwinkle, PhD and Megan L. Grove from the Human Genetics Center and Institute of Molecular Medicine and Division of Epidemiology, University of Texas Health Science Center, Houston, Texas, USA for their help with genotyping. We would also like to thank the families that participated in the GENOA study. HANDLS (Healthy Aging in Neighborhoods of Diversity across the Life Span): Data analyses for the HANDLS study utilized the high-performance computational resources of the Biowulf Linux cluster at the National Institutes of Health, Bethesda, MD. http://hpc.nih.gov HUFS (Howard University Family Study): We thank the participants of the study. The contents of this publication are solely the responsibility of the authors and do not necessarily represent the official view of the National Institutes of Health. HyperGEN (Hypertension Genetic Epidemiology Network): The study involves: University of Utah: (Network Coordinating Center, Field Center, and Molecular Genetics Lab), Univ. of Alabama at Birmingham: (Field Center and Echo Coordinating and Analysis Center), Medical College of Wisconsin: (Echo Genotyping Lab), Boston University: (Field Center), University of Minnesota: (Field Center and Biochemistry Lab), University of North Carolina: (Field Center), Washington University: (Data Coordinating Center), Weil Cornell Medical College: (Echo Reading Center), National Heart, Lung, & Blood Institute. For a complete list of HyperGEN Investigators: http://www.biostat.wustl.edu/hypergen/Acknowledge.html JHS (Jackson Heart Study): The authors wish to thank the staffs and participants of the JHS. MESA (Multi-Ethnic Study of Atherosclerosis): MESA and the MESA SHARe project are conducted in collaboration with MESA investigators. Genotyping was performed at Affymetrix (Santa Clara, California, USA) and the Broad Institute of Harvard and MIT (Boston, Massachusetts, USA) using the Affymetrix Genome-Wide Human SNP Array 6.0. NEO (The Netherlands Epidemiology of Obesity study): The authors of the NEO study thank all individuals who participated in the Netherlands Epidemiology in Obesity study, all participating general practitioners for inviting eligible participants and all research nurses for collection of the data. We thank the NEO study group, Petra Noordijk, Pat van Beelen and Ingeborg de Jonge for the coordination, lab and data management of the NEO study. RS (Rotterdam Study) was funded by Erasmus Medical Center and Erasmus University, Rotterdam, Netherlands Organization for the Health Research and Development (ZonMw), the Research Institute for Diseases in the Elderly (RIDE), the Ministry of Education, Culture and Science, the Ministry for Health, Welfare and Sports, the European Commission (DG XII), and the Municipality of Rotterdam. The authors are grateful to the study participants, the staff from the Rotterdam Study and the participating general practitioners and pharmacists. The generation and management of GWAS genotype data for the Rotterdam Study was executed by the Human Genotyping Facility of the Genetic Laboratory of the Department of Internal Medicine, Erasmus MC, Rotterdam, The Netherlands. We thank Pascal Arp, Mila Jhamai, Marijn Verkerk, Lizbeth Herrera, Marjolein Peters and Carolina Medina-Gomez for their help in creating the GWAS database, and Karol Estrada, Yurii Aulchenko and Carolina Medina-Gomez for the creation and analysis of imputed data. WHI (Women’s Health Initiative): The authors thank the WHI investigators and staff for their dedication, and the study participants for making the program possible. A full listing of WHI investigators can be found at: http://www.whi.org/researchers/Documents%20%20Write%20a%20Paper/WHI%20Investigator%20Short%20List.pdf Replication: AA-DHS (African American Diabetes Heart Study): The investigators acknowledge the cooperation of our Diabetes Heart Study (DHS) and AA-DHS participants. ASCOT (Anglo-Scandinavian Cardiac Outcomes Trial): We thank all ASCOT trial participants, physicians, nurses, and practices in the participating countries for their important contribution to the study. In particular, we thank Clare Muckian and David Toomey for their help in DNA extraction, storage, and handling. We would also like to acknowledge the Barts and The London Genome Centre staff for genotyping the Exome chip array. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. BBJ (Biobank Japan Project): We thank all the participants, medical coordinators of the cooperating hospitals for collecting samples and clinical information in the project. BRIGHT (British Genetics of Hypertension): The BRIGHT study is extremely grateful to all the patients who participated in the study and the BRIGHT nursing team. P.B.M, M.J.C and H.R.W wish to acknowledge the support of the NIHR Cardiovascular Biomedical Research Centre at Barts and Queen Mary University of London, UK. CoLaus (Cohorte Lausannoise Study): The authors would like to thank all the people who participated in the recruitment of the participants, data collection and validation, particularly Nicole Bonvin, Yolande Barreau, Mathieu Firmann, François Bastardot, Julien Vaucher, Panagiotis Antiochos and Cédric Gubelmann. DESIR (Data from an Epidemiological Study on the Insulin Resistance): The DESIR Study Group is composed of Inserm-U1018 (Paris: B. Balkau, P. Ducimetière, E. Eschwège), Inserm-U367 (Paris: F. Alhenc-Gelas), CHU d’Angers (A. Girault), Bichat Hospital (Paris: F. Fumeron, M. Marre, R. Roussel), CHU de Rennes (F. Bonnet), CNRS UMR-8199 (Lille: A. Bonnefond, P. Froguel), Medical Examination Services (Alençon, Angers, Blois, Caen, Chartres, Chateauroux, Cholet, LeMans, Orléans and Tours), Research Institute for General Medicine (J. Cogneau), the general practitioners of the region and the Cross- Regional Institute for Health (C. Born, E. Caces, M. Cailleau, N. Copin, J.G. Moreau, F. Rakotozafy, J. Tichet, S. Vol). DHS (Diabetes Heart Study): The authors thank the investigators, staff, and participants of the DHS for their valuable contributions. EGCUT Estonian Genome Center—University of Tartu (Estonian Biobank): Data analyzes were carried out in part in the High Performance Computing Center of University of Tartu. EPIC (European Prospective Investigation into Cancer and Nutrition)-Norfolk: We thank all EPIC participants and staff for their contribution to the study. FENLAND (The Fenland Study): We are grateful to all the volunteers for their time and help, and to the General Practitioners and practice staff for assistance with recruitment. We thank the Fenland Study Investigators, Fenland Study Co-ordination team and the Epidemiology Field, Data and Laboratory teams. We further acknowledge support from the Medical research council (MC_UU_12015/1). GeneSTAR (Genetic Studies of Atherosclerosis Risk): We are very grateful to all of our participants for their long-term involvement. GLACIER (Gene x Lifestyle Interactions and Complex Traits Involved in Elevated Disease Risk): We thank the participants, health professionals and data managers involved in the Västerbottens Intervention Project. We are also grateful to the staff of the Northern Sweden Biobank for preparing materials and to K Enqvist and T Johansson (Västerbottens County Council, Umeå, Sweden) for DNA preparation. HCHS/SOL (Hispanic Community Health Study/Study of Latinos): We thank the participants and staff of the HCHS/SOL study for their contributions to this study. HRS (Health & Retirement Study): Our genotyping was conducted by the NIH Center for Inherited Disease Research (CIDR) at Johns Hopkins University. Genotyping quality control and final preparation of the data were performed by the Genetics Coordinating Center at the University of Washington. HyperGEN-AXIOM (Hypertension Genetic Epidemiology Network—Axiom Chip GWAS): We thank the study investigators, staff and participants for their value contributions. INGI (Italian Network Genetic Isolate): We thank all the inhabitants who participated to the projects. InterAct (The EPIC-InterAct Case-Cohort Study): We thank all EPIC participants and staff for their contribution to the study. IRAS (Insulin Resistance Atherosclerosis Study): The authors thank study investigators, staff, and participants for their valuable contributions. KORA (Cooperative Health Research in the Augsburg Region): We thank all KORA participants and staff for their contribution to the study. LBC1921 (Lothian Birth Cohort 1921): We thank the LBC1921 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LBC1936 (Lothian Birth Cohort 1936): We thank the LBC1936 cohort participants and team members who contributed to these studies. Funding from the Biological Sciences Research Council (BBSRC) and Medical Research Council (MRC) is gratefully acknowledged. LifeLines (Lifelines Cohort Study): The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. The authors wish to acknowledge the services of the Lifelines, the contributing research centers delivering data to Lifelines, and all the study participants. Also, Lifelines acknowledges the contributions from Behrooz Z Alizadeh (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), H Marike Boezen (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Lude Franke (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Pim van der Harst (Department of Cardiology, University of Groningen, University Medical Center Groningen, The Netherlands), Gerjan Navis (Department of Internal Medicine, Division of Nephrology, University of Groningen, University Medical Center Groningen, The Netherlands), Marianne Rots (Department of Medical Biology, University of Groningen, University Medical Center Groningen, The Netherlands), Harold Snieder (Department of Epidemiology, University of Groningen, University Medical Center Groningen, The Netherlands), Morris Swertz (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands), Bruce HR Wolffenbuttel (Department of Endocrinology, University of Groningen, University Medical Center Groningen, The Netherlands), Cisca Wijmenga (Department of Genetics, University of Groningen, University Medical Center Groningen, The Netherlands). LLFS (Long Life Family Study): The LLFS would like to thank the participants and research staff who make the study possible. LOLIPOP (London Life Sciences Prospective Population Study): We acknowledge support of the MRC-PHE Centre for Environment and Health, and the NIHR Health Protection Research Unit on Health Impact of Environmental Hazards. The work was carried out in part at the NIHR/Wellcome Trust Imperial Clinical Research Facility. The views expressed are those of the author(s) and not necessarily those of the Imperial College Healthcare NHS Trust, the NHS, the NIHR or the Department of Health. We thank the participants and research staff who made the study possible. PROCARDIS (Precocious Coronary Artery Disease): The PROCARDIS researchers thank the patients for their selfless participation in this project. RHS (Ragama Health Study): The RHS was supported by the Grant of National Center for Global Health and Medicine (NCGM), Japan. SWHS/SMHS (Shanghai Women's Health Study/ Shanghai Men's Health Study): We thank all the individuals who took part in these studies and all the researchers who have enabled this work to be carried out. TRAILS (TRacking Adolescents’ Individual Lives Survey): TRAILS is a collaborative project involving various departments of the University Medical Center and University of Groningen, the Erasmus University Medical Center Rotterdam, the University of Utrecht, the Radboud Medical Center Nijmegen, and the Parnassia Bavo group, all in the Netherlands. We are grateful to all adolescents who participated in this research and to everyone who worked on this project and made it possible. UKB (United Kingdom Biobank, www.ukbiobank.ac.uk): This research has been conducted using the UK Biobank Resource. The UK Biobank data were analyzed from the data set corresponding to UK Biobank access application no. 236, application title 'Genome-wide association study of blood pressure', with Paul Elliott as the PI/applicant. This work was supported by the UK-CMC and the BP working group., InterAct Consortium, Marten, Jonathan [0000-0001-6916-2014], Luan, Jian'an [0000-0003-3137-6337], Zhao, Jing Hua [0000-0003-4930-3582], Forouhi, Nita [0000-0002-5041-248X], Langenberg, Claudia [0000-0002-5017-7344], Wareham, Nicholas [0000-0003-1422-2993], Apollo - University of Cambridge Repository, Lee Kong Chian School of Medicine (LKCMedicine), Institut Pasteur [Paris] (IP)-Centre National de la Recherche Scientifique (CNRS), Institut Européen de Génomique du Diabète - European Genomic Institute for Diabetes - FR 3508 (EGID), Réseau International des Instituts Pasteur (RIIP)-Réseau International des Instituts Pasteur (RIIP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université de Lille-Centre National de la Recherche Scientifique (CNRS), Feitosa, Mary F., Kraja, Aldi T., Chasman, Daniel I., Sung, Yun J., Winkler, Thomas W., Ntalla, Ioanna, Guo, Xiuqing, Franceschini, Nora, Cheng, Ching-Yu, Sim, Xueling, Vojinovic, Dina, Marten, Jonathan, Musani, Solomon K., Li, Changwei, Bentley, Amy R., Brown, Michael R., Schwander, Karen, Richard, Melissa A., Noordam, Raymond, Aschard, Hugue, Bartz, Traci M., Bielak, Lawrence F., Dorajoo, Rajkumar, Fisher, Virginia, Hartwig, Fernando P., Horimoto, Andrea R. V. R., Lohman, Kurt K., Manning, Alisa K., Rankinen, Tuomo, Smith, Albert V., Tajuddin, Salman M., Wojczynski, Mary K., Alver, Mari, Boissel, Mathilde, Cai, Qiuyin, Campbell, Archie, Chai, Jin Fang, Chen, Xu, Divers, Jasmin, Gao, Chuan, Goel, Anuj, Hagemeijer, Yanick, Harris, Sarah E., He, Meian, Hsu, Fang-Chi, Jackson, Anne U., Kähönen, Mika, Kasturiratne, Anuradhani, Komulainen, Pirjo, Kühnel, Brigitte, Laguzzi, Federica, Luan, Jian'An, Matoba, Nana, Nolte, Ilja M., Padmanabhan, Sandosh, Riaz, Muhammad, Rueedi, Rico, Robino, Antonietta, Said, M. Abdullah, Scott, Robert A., Sofer, Tamar, Stančáková, Alena, Takeuchi, Fumihiko, Tayo, Bamidele O., Van Der Most, Peter J., Varga, Tibor V., Vitart, Veronique, Wang, Yajuan, Ware, Erin B., Warren, Helen R., Weiss, Stefan, Wen, Wanqing, Yanek, Lisa R., Zhang, Weihua, Zhao, Jing Hua, Afaq, Saima, Amin, Najaf, Amini, Marzyeh, Arking, Dan E., Aung, Tin, Boerwinkle, Eric, Borecki, Ingrid, Broeckel, Ulrich, Brown, Morri, Brumat, Marco, Burke, Gregory L., Canouil, Mickaël, Chakravarti, Aravinda, Charumathi, Sabanayagam, Chen, Yii-Der Ida, Connell, John M., Correa, Adolfo, De Las Fuentes, Lisa, De Mutsert, Renée, De Silva, H. Janaka, Deng, Xuan, Ding, Jingzhong, Duan, Qing, Eaton, Charles B., Ehret, Georg, Eppinga, Ruben N., Evangelou, Evangelo, Faul, Jessica D., Felix, Stephan B., Forouhi, Nita G., Forrester, Terrence, Franco, Oscar H., Friedlander, Yechiel, Gandin, Ilaria, Gao, He, Ghanbari, Mohsen, Gigante, Bruna, Gu, C. Charle, Gu, Dongfeng, Hagenaars, Saskia P., Hallmans, Göran, Harris, Tamara B., He, Jiang, Heikkinen, Sami, Heng, Chew-Kiat, Hirata, Makoto, Howard, Barbara V., Ikram, M. Arfan, John, Ulrich, Katsuya, Tomohiro, Khor, Chiea Chuen, Kilpeläinen, Tuomas O., Koh, Woon-Puay, Krieger, José E., Kritchevsky, Stephen B., Kubo, Michiaki, Kuusisto, Johanna, Lakka, Timo A., Langefeld, Carl D., Langenberg, Claudia, Launer, Lenore J., Lehne, Benjamin, Lewis, Cora E., Li, Yize, Lin, Shiow, Liu, Jianjun, Liu, Jingmin, Loh, Marie, Louie, Tin, Mägi, Reedik, Mckenzie, Colin A., Meitinger, Thoma, Metspalu, Andre, Milaneschi, Yuri, Milani, Lili, Mohlke, Karen L., Momozawa, Yukihide, Nalls, Mike A., Nelson, Christopher P., Sotoodehnia, Nona, Norris, Jill M., O'Connell, Jeff R., Palmer, Nicholette D., Perls, Thoma, Pedersen, Nancy L., Peters, Annette, Peyser, Patricia A., Poulter, Neil, Raffel, Leslie J., Raitakari, Olli T., Roll, Kathryn, Rose, Lynda M., Rosendaal, Frits R., Rotter, Jerome I., Schmidt, Carsten O., Schreiner, Pamela J., Schupf, Nicole, Scott, William R., Sever, Peter S., Shi, Yuan, Sidney, Stephen, Sims, Mario, Sitlani, Colleen M., Smith, Jennifer A., Snieder, Harold, Starr, John M., Strauch, Konstantin, Stringham, Heather M., Tan, Nicholas Y. Q., Tang, Hua, Taylor, Kent D., Teo, Yik Ying, Tham, Yih Chung, Turner, Stephen T., Uitterlinden, André G., Vollenweider, Peter, Waldenberger, Melanie, Wang, Lihua, Wang, Ya Xing, Wei, Wen Bin, Williams, Christine, Yao, Jie, Yu, Caizheng, Yuan, Jian-Min, Zhao, Wei, Zonderman, Alan B., Becker, Diane M., Boehnke, Michael, Bowden, Donald W., Chambers, John C., Deary, Ian J., Esko, Tõnu, Farrall, Martin, Franks, Paul W., Freedman, Barry I., Froguel, Philippe, Gasparini, Paolo, Gieger, Christian, Jonas, Jost Bruno, Kamatani, Yoichiro, Kato, Norihiro, Kooner, Jaspal S., Kutalik, Zoltán, Laakso, Markku, Laurie, Cathy C., Leander, Karin, Lehtimäki, Terho, Magnusson, Patrik K. E., Oldehinkel, Albertine J., Penninx, Brenda W. J. H., Polasek, Ozren, Porteous, David J., Rauramaa, Rainer, Samani, Nilesh J., Scott, Jame, Shu, Xiao-Ou, Van Der Harst, Pim, Wagenknecht, Lynne E., Wareham, Nicholas J., Watkins, Hugh, Weir, David R., Wickremasinghe, Ananda R., Wu, Tangchun, Zheng, Wei, Bouchard, Claude, Christensen, Kaare, Evans, Michele K., Gudnason, Vilmundur, Horta, Bernardo L., Kardia, Sharon L. R., Liu, Yongmei, Pereira, Alexandre C., Psaty, Bruce M., Ridker, Paul M., Van Dam, Rob M., Gauderman, W. Jame, Zhu, Xiaofeng, Mook-Kanamori, Dennis O., Fornage, Myriam, Rotimi, Charles N., Cupples, L. Adrienne, Kelly, Tanika N., Fox, Ervin R., Hayward, Caroline, Van Duijn, Cornelia M., Tai, E. Shyong, Wong, Tien Yin, Kooperberg, Charle, Palmas, Walter, Rice, Kenneth, Morrison, Alanna C., Elliott, Paul, Caulfield, Mark J., Munroe, Patricia B., Rao, Dabeeru C., Province, Michael A., Levy, Daniel, Psychiatry, Amsterdam Neuroscience - Complex Trait Genetics, Surgery, APH - Mental Health, Amsterdam Neuroscience - Mood, Anxiety, Psychosis, Stress & Sleep, APH - Digital Health, and Ehret, Georg Benedikt
Subjects: Genetics and Molecular Biology (all), Male, Erfðagreining, Áfengissýki, LOCI, Social Sciences, Blood Pressure, Genome-wide association study, Biochemistry, Vascular Medicine, TRANSCRIPTION FACTOR GATA4, Biochemistry, Genetics and Molecular Biology (all), Agricultural and Biological Sciences (all), DEPENDENCE, HEPATOCELLULAR-CARCINOMA, 80 and over, Psychology, Public and Occupational Health, Alcohol consumption, Cardiac and Cardiovascular Systems, Gene–environment interaction, ddc:616, Aged, 80 and over, [STAT.AP]Statistics [stat]/Applications [stat.AP], MESH: Middle Aged, Kardiologi, MESH: Polymorphism, Single Nucleotide, Áfengisneysla, MESH: Gene-Environment Interaction, COMMON VARIANTS, Genomics, MESH: Blood Pressure, Pedigree, 3. Good health, Näringslära, MESH: Young Adult, Physical Sciences, Medicine, Medical genetics, Erfðarannsóknir, Statistics (Mathematics), medicine.medical_specialty, Blood Pressure/genetics, Alcohol Drinking, MESH: Pedigree, Science, Genetic loci, ta3111, Genome Complexity, 03 medical and health sciences, Gene mapping, Genetics, Humans, Polymorphism, Statistical Methods, GENOME-WIDE ASSOCIATION, Molecular Biology Techniques, Molecular Biology, Alleles, Aged, MESH: Adolescent, MESH: Humans, Adolescent, Adult, Alcohol Drinking/epidemiology, Alcohol Drinking/genetics, Cohort Studies, Continental Population Groups/genetics, Continental Population Groups/statistics & numerical data, Female, Gene-Environment Interaction, Genetic Predisposition to Disease/epidemiology, Genetic Predisposition to Disease/genetics, Genome-Wide Association Study, Hypertension/epidemiology, Hypertension/genetics, Middle Aged, Polymorphism, Single Nucleotide, Young Adult, Gene Mapping, Racial Groups, ta1182, Biology and Life Sciences, Computational Biology, MESH: Adult, Meta-analysis, 030104 developmental biology, Genetic Loci, MESH: Genome-Wide Association Study, [INFO.INFO-BI]Computer Science [cs]/Bioinformatics [q-bio.QM], MESH: Female, Mathematics, MESH: Alcohol Drinking, Meta-Analysis, 0301 basic medicine, MESH: Continental Population Groups, MESH: Hypertension, Mathematical and Statistical Techniques, MESH: Aged, 80 and over, Polymorphism (computer science), Medicine and Health Sciences, FUNCTIONAL VARIATION, MESH: Cohort Studies, MESH: Aged, Alcohol Consumption, Multidisciplinary, Nutrition and Dietetics, MESH: Genetic Predisposition to Disease, Genetic Predisposition to Disease/epidemiology/genetics, Single Nucleotide, Blóðþrýstingur, ENVIRONMENT INTERACTION, PTP4A1-PHF3-EYS VARIANTS, Alcoholism, ANCESTRAIS, Háþrýstingur, Hypertension, Blood pressure, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Medical Genetics, Research Article, Substance-Related Disorders, Addiction, RISK, METAANALYSIS, Research and Analysis Methods, Mental Health and Psychiatry, medicine, Medicine [Science], Genetic Predisposition to Disease, Allele, Hypertension/epidemiology/genetics, Nutrition, Medicinsk genetik, Continental Population Groups/genetics/statistics & numerical data, business.industry, Alcohol Drinking/epidemiology/genetics, Genetic architecture, MESH: Male, Introns, Diet, BODY-MASS INDEX, [SDV.GEN.GH]Life Sciences [q-bio]/Genetics/Human genetics, [SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologie, business
Abstract: Publisher's version (útgefin grein)., Heavy alcohol consumption is an established risk factor for hypertension; the mechanism by which alcohol consumption impact blood pressure (BP) regulation remains unknown. We hypothesized that a genome-wide association study accounting for gene-alcohol consumption interaction for BP might identify additional BP loci and contribute to the understanding of alcohol-related BP regulation. We conducted a large two-stage investigation incorporating joint testing of main genetic effects and single nucleotide variant (SNV)-alcohol consumption interactions. In Stage 1, genome-wide discovery meta-analyses in ≈131K individuals across several ancestry groups yielded 3,514 SNVs (245 loci) with suggestive evidence of association (P < 1.0 x 10−5). In Stage 2, these SNVs were tested for independent external replication in ≈440K individuals across multiple ancestries. We identified and replicated (at Bonferroni correction threshold) five novel BP loci (380 SNVs in 21 genes) and 49 previously reported BP loci (2,159 SNVs in 109 genes) in European ancestry, and in multi-ancestry meta-analyses (P < 5.0 x 10−8). For African ancestry samples, we detected 18 potentially novel BP loci (P < 5.0 x 10−8) in Stage 1 that warrant further replication. Additionally, correlated meta-analysis identified eight novel BP loci (11 genes). Several genes in these loci (e.g., PINX1, GATA4, BLK, FTO and GABBR2) have been previously reported to be associated with alcohol consumption. These findings provide insights into the role of alcohol consumption in the genetic architecture of hypertension., The following authors declare commercial private and/or governmental affiliations: Bruce M. Psaty (BMP) serves on the DSMB of a clinical trial funded by Zoll Lifecor and on the Steering Committee of the Yale Open Data Access Project funded by Johnson & Johnson. Barbara V. Howard (BVH) has a contract from National Heart, Lung, and Blood Institute (NHLBI). Brenda W.J.H. Penninx (BWJHP) has received research funding (non-related to the work reported here) from Jansen Research and Boehringer Ingelheim. Mike A. Nalls (MAN) is supported by a consulting contract between Data Tecnica International LLC and the National Institute on Aging (NIA), National Institutes of Health (NIH), Bethesda, MD, USA. MAN also consults for Illumina Inc., the Michael J. Fox Foundation, and the University of California Healthcare. MAN also has commercial affiliation with Data Tecnica International, Glen Echo, MD, USA. Mark J. Caulfield (MJC) has commercial affiliation and is Chief Scientist for Genomics England, a UK government company. Oscar H Franco (OHF) is supported by grants from Metagenics (on women's health and epigenetics) and from Nestlé (on child health). Peter S. Sever (PSS) is financial supported from several pharmaceutical companies which manufacture either blood pressure lowering or lipid lowering agents, or both, and consultancy fees. Paul W. Franks (PWF) has been a paid consultant in the design of a personalized nutrition trial (PREDICT) as part of a private-public partnership at Kings College London, UK, and has received research support from several pharmaceutical companies as part of European Union Innovative Medicines Initiative (IMI) projects. Fimlab LTD provided support in the form of salaries for author Terho Lehtimäki (TL) but did not have any additional role in the study design to publish, or preparation of the manuscript. Gen‐info Ltd provided support in the form of salaries for author Ozren Polašek (OP) but did not have any additional role in the study design to publish, or preparation of the manuscript. The specific roles of these authors are articulated in the ‘author contributions’ section. There are no patents, products in development, or marked products to declare. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
Published: 2018

Catalog

Books, media, physical & digital resources

See catalog results

Searchworks

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources

Refine your results

25 results on '"RANKINEN, TUOMO"'

1. Plasma Steroids are Not Associated with Resting and Exercise Blood Pressure.

2. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries.

3. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure.

4. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group.

5. The effect of different doses of aerobic exercise training on exercise blood pressure in overweight and obese postmenopausal women.

6. Effect of endothelin 1 genotype on blood pressure is dependent on physical activity or fitness levels.

7. Meta-analysis of genome-wide scans for blood pressure in African American and Nigerian samples. The National Heart, Lung, and Blood Institute GeneLink Project.

8. Meta-analysis of genome-wide scans for hypertension and blood pressure in Caucasians shows evidence of susceptibility regions on chromosomes 2 and 3.

9. Physical exercise and blood pressure with reference to the angiotensinogen M235T polymorphism.

10. Genomewide linkage scan of resting blood pressure: HERITAGE Family Study. Health, Risk Factors, Exercise Training, and Genetics.

11. Multi-ancestry genome-wide gene–sleep interactions identify novel loci for blood pressure

12. Gene-educational attainment interactions in a multi-ancestry genome-wide meta-analysis identify novel blood pressure loci

13. Genetics and the Blood Pressure Response to Exercise Training

14. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

15. An Empirical Comparison of Joint and Stratified Frameworks for Studying G × E Interactions: Systolic Blood Pressure and Smoking in the CHARGE Gene-Lifestyle Interactions Working Group

16. Plasma Steroids are not Associated with Resting and Exercise Blood Pressure.

17. Functional identification of the promoter of SLC4A5, a gene associated with cardiovascular and metabolic phenotypes in the HERITAGE Family Study.

18. Genes, exercise, growth, and the sedentary, obese child.

19. AGT M235T and ACE ID polymorphisms and exercise blood pressure in the HERITAGE Family Study.

20. A multi-ancestry genome-wide study incorporating gene-smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

21. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

22. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

23. A multi-ancestry genome-wide study incorporating gene–smoking interactions identifies multiple new loci for pulse pressure and mean arterial pressure

24. A Large-Scale Multi-ancestry Genome-wide Study Accounting for Smoking Behavior Identifies Multiple Significant Loci for Blood Pressure

25. Novel genetic associations for blood pressure identified via gene-alcohol interaction in up to 570K individuals across multiple ancestries

Catalog

Searchworks

Select search scope, currently: Articles Catalog books, media & more in Jio Institute collections Articles journal articles & other e-resources

Search

Search Constraints

Refine your results

Search Limiters

Topic

Publication Year Range

Language

Publication Type

Journal

Database

Publisher

25 results on '"RANKINEN, TUOMO"'

Search Results

Catalog

Select search scope, currently: Articles

Catalog

books, media & more in Jio Institute collections

Articles

journal articles & other e-resources