Multi-ancestry study of blood lipid levels identifies four loci interacting with physical activity
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Jennifer G. Robinson | Nicholette D. Palmer | P. Elliott | M. Fornage | M. Nalls | C. Gieger | M. Waldenberger | A. Peters | I. Deary | I. Ntalla | R. Mägi | S. Redline | T. Lehtimäki | E. Boerwinkle | N. Risch | C. Rotimi | C. Wijmenga | M. Laakso | Z. Kutalik | K. Strauch | M. Boehnke | Hua Tang | M. Rots | P. Ridker | D. Chasman | N. Samani | J. Connell | P. Munroe | V. Gudnason | J. Jonas | C. Lewis | A. Zonderman | M. Evans | E. Tai | B. Horta | O. Raitakari | H. Boezen | H. Boezen | S. Kardia | T. Meitinger | K. Lohman | Yongmei Liu | S. Kritchevsky | B. Psaty | D. Gu | B. Penninx | A. Kraja | M. Province | A. Metspalu | T. Esko | H. Snieder | B. Sternfeld | K. Mohlke | H. Stringham | A. Jackson | J. Tuomilehto | K. Taylor | J. Rotter | P. Froguel | F. Hsu | R. Rueedi | J. Jonas | T. Harris | T. Lakka | R. Rauramaa | B. Cade | J. Norris | I. Rudan | M. Swertz | Tangchun Wu | X. Shu | Jian-Min Yuan | W. Koh | Y. Xiang | W. Zheng | D. Porteous | J. Starr | C. Langefeld | D. Becker | L. Bielak | P. Peyser | N. Wareham | Jianjun Liu | T. Sofer | K. Rice | Xiaofeng Zhu | C. Nelson | P. Magnusson | N. Pedersen | C. V. van Duijn | L. Franke | P. Franks | L. Cupples | U. de Faire | Xiuqing Guo | K. North | M. Ikram | S. Harris | C. Heng | B. Wolffenbuttel | C. Gu | S. Rich | S. Hunt | B. Alizadeh | N. Amin | C. Hayward | O. Polašek | Jennifer A. Smith | Wei Zhao | J. Faul | L. Launer | P. Vollenweider | D. Weir | S. Kardia | D. Arnett | T. Mosley | M. Feitosa | Y. Sung | T. Winkler | N. Franceschini | X. Sim | D. Vojinović | J. Marten | S. Musani | Changwei Li | A. Bentley | K. Schwander | R. Noordam | H. Aschard | T. Bartz | R. Dorajoo | Virginia Fisher | F. Hartwig | A. Horimoto | A. Manning | S. Tajuddin | A. Campbell | Jin-Fang Chai | Xu Chen | J. Divers | Chuan Gao | M. He | P. Komulainen | B. Kühnel | F. Laguzzi | I. Nolte | Muhammad B. Riaz | A. Robino | R. Scott | F. Takeuchi | P. J. van der Most | E. Ware | W. Wen | L. Yanek | Jinghua Zhao | M. Amini | M. Brumat | M. Canouil | L. de las Fuentes | R. de Mutsert | H. J. de Silva | Jingzhong Ding | C. Eaton | E. Evangelou | Y. Friedlander | M. Ghanbari | Jiang He | S. Heikkinen | T. Kilpeläinen | J. Krieger | J. Kuusisto | C. Langenberg | Y. Milaneschi | J. O'connell | N. Palmer | L. Rose | P. Schreiner | M. Sims | Y. X. Wang | Caizheng Yu | D. Bowden | B. Freedman | P. Gasparini | N. Kato | K. Leander | A. Oldehinkel | P. van der Harst | L. Wagenknecht | A. Pereira | R. V. van Dam | W. Gauderman | D. Mook-Kanamori | T. Kelly | E. Fox | C. Kooperberg | A. Morrison | R. Loos | Ching‐Ti Liu | A. Demirkan | L. Lyytikäinen | J. Zhao | Xiaoyin Li | G. Navis | E. K. Nang | J. V. van Vliet-Ostaptchouk | D. van Heemst | N. Verweij | M. Graff | A. Murray | G. Wilson | A. Manichaikul | R. Pazoki | K. Gabriel | Jiang He | T. Voortman | S. Aslibekyan | Neil Risch | M. Ikram | Heming Wang | P. D. de Vries | M. Concas | A. Poveda | P. Wennberg | R. Lemaitre | G. Papanicolau | D. Gu | P. Magnusson | M. Tsai | Annette Peters | N. Kato | Jingjing Liang | S. Sidney | E. Tai | M. Y. van der Ende | Minjung Kho | Zhe Wang | J. Connell | S. Rich | Hermina Jakupović | J. Yao | O. Raitakari | T. Varga | D. Rao | D. Porteous | Maris Alver | Franco Giulianini | Y. Chen | Cora E. Lewis | Paul Elliott | Jingjing Liang | Hua Tang | M. Boissel | C. Nwuba | Xiaofeng Zhu | P. Gasparini | A. Uitterlinden | Charles B. Eaton | P. van der harst | Alison D. Murray | M. Y. Van Der Ende | A. Pereira | Behrooz Z. H. Marike Lude Gerjan Marianne Morris Bruce H. Alizadeh Boezen Franke Navis Rots Swertz W | Sotoodehnia Nona | Y. Xiang | Stephen B. Kritchevsky | Michael R. Brown | A. Smith | M. Richard | Behrooz Z. H. Marike Lude Gerjan Marianne Morris Bruce H. Alizadeh Boezen Franke Navis Rots Swertz | L. Rose | A. Uitterlinden | Wei Zhao | D. Rao | C. V. van Duijn | B. Psaty | Brigitte Kühnel | J. Krieger | R. Loos | R. Scott | C. Nelson
[1] R. Marioni,et al. DNA methylation outlier burden, health, and ageing in Generation Scotland and the Lothian Birth Cohorts of 1921 and 1936 , 2020, Clinical Epigenetics.
[2] T. Hankemeier,et al. Genome-wide association study of plasma lipids , 2019, bioRxiv.
[3] M. Orlovic. PMH30 UNDERSTANDING TRENDS IN DEMENTIA AND COGNITIVE IMPAIRMENT IN THE UNITED STATES: EVIDENCE FROM THE HEALTH AND RETIREMENT STUDY (HRS) , 2019, Value in Health.
[4] Kee Seng Chia,et al. Cohort Profile: The Singapore Multi-Ethnic Cohort (MEC) study. , 2018, International journal of epidemiology.
[5] M. Kanai,et al. Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases , 2018, Nature Genetics.
[6] Fanxin Long,et al. Hedgehog signaling via Gli2 prevents obesity induced by high-fat diet in adult mice , 2017, eLife.
[7] Dajiang J. Liu,et al. Exome chip meta-analysis identifies novel loci and East Asian-specific coding variants contributing to lipid levels and coronary artery disease , 2017, Nature Genetics.
[8] Nicola J. Rinaldi,et al. Genetic effects on gene expression across human tissues , 2017, Nature.
[9] Raquel S. Sevilla,et al. Exome-wide association study of plasma lipids in >300,000 individuals , 2017, Nature Genetics.
[10] Tanya M. Teslovich,et al. Common, low-frequency, and rare genetic variants associated with lipoprotein subclasses and triglyceride measures in Finnish men from the METSIM study , 2017, PLoS genetics.
[11] Shiyong Huang,et al. Developmental Disruption of GABAAR-Meditated Inhibition in Cntnap2 KO Mice , 2017, eNeuro.
[12] P. Munroe,et al. Multiancestry Study of Gene–Lifestyle Interactions for Cardiovascular Traits in 610 475 Individuals From 124 Cohorts: Design and Rationale , 2017, Circulation. Cardiovascular genetics.
[13] Jeremy Schwartzentruber,et al. Whole genome sequencing and imputation in isolated populations identify genetic associations with medically-relevant complex traits , 2017, Nature Communications.
[14] Archie Campbell,et al. Exploration of haplotype research consortium imputation for genome-wide association studies in 20,032 Generation Scotland participants , 2017, Genome Medicine.
[15] Sanghoon Moon,et al. Association analyses of East Asian individuals and trans‐ancestry analyses with European individuals reveal new loci associated with cholesterol and triglyceride levels , 2017, Human molecular genetics.
[16] E. Boerwinkle,et al. Genetic Risk, Adherence to a Healthy Lifestyle, and Coronary Disease. , 2016, The New England journal of medicine.
[17] Marcelo P. Segura-Lepe,et al. Meta-analysis of 49 549 individuals imputed with the 1000 Genomes Project reveals an exonic damaging variant in ANGPTL4 determining fasting TG levels , 2016, Journal of Medical Genetics.
[18] Xueli Yang,et al. Genetic Susceptibility to Lipid Levels and Lipid Change Over Time and Risk of Incident Hyperlipidemia in Chinese Populations , 2016, Circulation. Cardiovascular genetics.
[19] Jason M. Torres,et al. Meta-analysis of lipid-traits in Hispanics identifies novel loci, population-specific effects, and tissue-specific enrichment of eQTLs , 2016, Scientific Reports.
[20] C. Wijmenga,et al. Cohort Profile Cohort Profile : LifeLines , a three-generation cohort study and biobank , 2015 .
[21] Cesar G Victora,et al. Cohort Profile Update: The 1982 Pelotas (Brazil) Birth Cohort Study , 2015, International journal of epidemiology.
[22] U. Ekelund,et al. Physical activity and all-cause mortality across levels of overall and abdominal adiposity in European men and women: the European Prospective Investigation into Cancer and Nutrition Study (EPIC) , 2015, BDJ.
[23] U. Ekelund,et al. Physical Activity and all-cause mortality across levels of general and abdominal adiposity: The European Prospective Investigation into Cancer and Nutrition Study (EPIC) , 2015 .
[24] Jeanette Spear,et al. The Airwave Health Monitoring Study of police officers and staff in Great Britain: rationale, design and methods. , 2014, Environmental research.
[25] F. Hu,et al. Gene-Lifestyle Interactions in Complex Diseases: Design and Description of the GLACIER and VIKING Studies , 2014, Current Nutrition Reports.
[26] R. Mägi,et al. Quality control and conduct of genome-wide association meta-analyses , 2014, Nature Protocols.
[27] Amanda Sonnega,et al. Cohort Profile: the Health and Retirement Study (HRS). , 2014, International journal of epidemiology.
[28] Peggy Hall,et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations , 2013, Nucleic Acids Res..
[29] F. Hu,et al. Cohort Profile: the Dongfeng-Tongji cohort study of retired workers. , 2013, International journal of epidemiology.
[30] D. O'Gorman,et al. Lipoprotein particle distribution and skeletal muscle lipoprotein lipase activity after acute exercise , 2012, Lipids in Health and Disease.
[31] Olga Peñagarikano,et al. What does CNTNAP2 reveal about autism spectrum disorder? , 2012, Trends in molecular medicine.
[32] Karen L. Mohlke,et al. Novel Loci for Adiponectin Levels and Their Influence on Type 2 Diabetes and Metabolic Traits: A Multi-Ethnic Meta-Analysis of 45,891 Individuals , 2012, PLoS genetics.
[33] E. Tai,et al. Validity of the international physical activity questionnaire and the Singapore prospective study program physical activity questionnaire in a multiethnic urban Asian population , 2011, BMC medical research methodology.
[34] P. Ridker,et al. Race, ethnicity, and the efficacy of rosuvastatin in primary prevention: the Justification for the Use of Statins in Prevention: an Intervention Trial Evaluating Rosuvastatin (JUPITER) trial. , 2011, American heart journal.
[35] Josée Dupuis,et al. Meta‐analysis of gene‐environment interaction: joint estimation of SNP and SNP × environment regression coefficients , 2011, Genetic epidemiology.
[36] Hiroaki Tanaka,et al. Regulation of skeletal muscle transcriptome in elderly men after 6weeks of endurance training at lactate threshold intensity , 2010, Experimental Gerontology.
[37] Jing Hua Zhao,et al. Physical Activity Attenuates the Genetic Predisposition to Obesity in 20,000 Men and Women from EPIC-Norfolk Prospective Population Study , 2010, PLoS medicine.
[38] U. Ekelund,et al. Physical activity attenuates the body mass index-increasing influence of genetic variation in the FTO gene. , 2009, The American journal of clinical nutrition.
[39] A. Kasturiratne,et al. Prevalence and risk factors for non‐alcoholic fatty liver disease among adults in an urban Sri Lankan population , 2009, Journal of gastroenterology and hepatology.
[40] T. Wong,et al. Is there a clear threshold for fasting plasma glucose that differentiates between those with and without neuropathy and chronic kidney disease?: the Singapore Prospective Study Program. , 2009, American journal of epidemiology.
[41] Johanna Kuusisto,et al. Changes in Insulin Sensitivity and Insulin Release in Relation to Glycemia and Glucose Tolerance in 6,414 Finnish Men , 2009, Diabetes.
[42] P. Libby,et al. Rosuvastatin to prevent vascular events in men and women with elevated C-reactive protein. , 2008, The New England journal of medicine.
[43] P. Cuijpers,et al. The Netherlands Study of Depression and Anxiety (NESDA): rationale, objectives and methods , 2008, International journal of methods in psychiatric research.
[44] A. Moss,et al. α-1-Syntrophin Mutation and the Long-QT Syndrome: A Disease of Sodium Channel Disruption , 2008, Circulation. Arrhythmia and electrophysiology.
[45] T. Hansen,et al. Low Physical Activity Accentuates the Effect of the FTO rs9939609 Polymorphism on Body Fat Accumulation , 2008, Diabetes.
[46] C. Victora,et al. Cohort profile: the 1982 Pelotas (Brazil) birth cohort study. , 2006, International journal of epidemiology.
[47] L. Tong,et al. Acetyl-coenzyme A carboxylase: crucial metabolic enzyme and attractive target for drug discovery , 2005, Cellular and Molecular Life Sciences CMLS.
[48] C. Hui,et al. Gli2 and Gli3 have redundant and context-dependent function in skeletal muscle formation , 2005, Development.
[49] E. Boerwinkle,et al. Familial aggregation of hypertension treatment and control in the Genetic Epidemiology Network of Arteriopathy (GENOA) study. , 2004, The American journal of medicine.
[50] Garnet L Anderson,et al. The Women's Health Initiative recruitment methods and results. , 2003, Annals of epidemiology.
[51] Nilesh Samani,et al. Genome-wide mapping of human loci for essential hypertension , 2003, The Lancet.
[52] R. Kronmal,et al. Multi-Ethnic Study of Atherosclerosis: objectives and design. , 2002, American journal of epidemiology.
[53] Hans L Hillege,et al. Urinary Albumin Excretion Predicts Cardiovascular and Noncardiovascular Mortality in General Population , 2002, Circulation.
[54] R. Matsuda,et al. α1-Syntrophin–deficient skeletal muscle exhibits hypertrophy and aberrant formation of neuromuscular junctions during regeneration , 2002, The Journal of cell biology.
[55] A. Leon,et al. Response of blood lipids to exercise training alone or combined with dietary intervention. , 2001, Medicine and science in sports and exercise.
[56] D C Rao,et al. NHLBI Family Heart Study: objectives and design. , 1996, American journal of epidemiology.
[57] R. Kronmal,et al. The Cardiovascular Health Study: design and rationale. , 1991, Annals of epidemiology.
[58] A. Folsom,et al. The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators. , 1989, American journal of epidemiology.
[59] H. Scholte,et al. Acetyl-CoA carboxylase deficiency: an inborn error of de novo fatty acid synthesis. , 1981, The New England journal of medicine.
[60] M. de Andrade,et al. Heritability of cardiovascular risk factors in a Brazilian population: Baependi Heart Study , 2008, BMC Medical Genetics.
[61] Daniel W. Jones,et al. Toward resolution of cardiovascular health disparities in African Americans: design and methods of the Jackson Heart Study. , 2005, Ethnicity & disease.
[62] M. Andrew,et al. Recruiting African-American research participation in the Jackson Heart Study: methods, response rates, and sample description. , 2005, Ethnicity & disease.
[63] C. Bouchard,et al. Effects of long-term negative energy balance with exercise on plasma lipid and lipoprotein levels in identical twins. , 2004, Atherosclerosis.
[64] M. Andrew,et al. A community-driven model of research participation: the Jackson Heart Study Participant Recruitment and Retention Study. , 2003, Ethnicity & disease.
[65] Steven C. Hunt,et al. Multi-center genetic study of hypertension: The Family Blood Pressure Program (FBPP). , 2002, Hypertension.
[66] M. Nieminen,et al. Rationale, Design, and Methods , 1997 .
[67] R. Suzman,et al. An Overview of the Health and Retirement Study , 1995 .
[68] S B Hulley,et al. CARDIA: study design, recruitment, and some characteristics of the examined subjects. , 1988, Journal of clinical epidemiology.
[69] G. Abecasis,et al. Supporting Online Material Materials and Methods Figs. S1 to S8 Tables S1 to S10 References a Genome-wide Association Study of Type 2 Diabetes in Finns Detects Multiple Susceptibility Variants , 2022 .