Genome-wide physical activity interactions in adiposity ― A meta-analysis of 200,452 adults
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Patrícia | Paula J. Griffin | Audrey Y. Chu | Min A. Jhun | Blair H. Smith | M. Fornage | Toshiko Tanaka | D. Hernandez | C. Gieger | R. Mägi | K. Kristiansson | M. Perola | N. Grarup | C. Lindgren | Z. Kutalik | S. Bergmann | J. Blangero | J. Whitfield | J. Justesen | T. Ahluwalia | J. Hui | J. Beilby | A. James | A. Mulas | K. Lohman | N. Hastie | G. Willemsen | G. Montgomery | T. Haller | H. Snieder | L. Hindorff | B. Sternfeld | L. Bonnycastle | P. Chines | A. Swift | N. Narisu | L. Kinnunen | B. Balkau | D. Hadley | A. Havulinna | T. Lakka | I. Rudan | L. Bielak | R. Luben | A. Mahajan | J. Hottenga | H. Grallert | M. Müller-Nurasyid | I. Prokopenko | P. Marques‐Vidal | A. Teumer | S. Buyske | K. Ong | L. Hocking | N. Amin | C. Holzapfel | I. Kolčić | W. Peyrot | L. Quaye | Jennifer A. Smith | V. Vitart | Wei Zhao | H. Campbell | G. Eiriksdottir | J. Faul | M. Kähönen | L. Launer | T. Tammelin | H. Vestergaard | T. Rankinen | T. Winkler | J. Marten | P. Komulainen | J. Luan | I. Nolte | S. Padmanabhan | R. Scott | Weihua Zhang | Jinghua Zhao | J. Kuusisto | B. Lehne | Y. Milaneschi | L. Rose | W. Scott | A. Oldehinkel | A. Bonnefond | M. Marre | R. Rawal | S. Sanna | F. Busonero | A. Shuldiner | C. Sarti | L. Yengo | M. Cornelis | S. Männistö | B. Thorand | J. Bragg-Gresham | A. Demirkan | M. Kleber | L. Lyytikäinen | Ying Wu | M. Kumari | A. Bertoni | S. Gläser | P. Gordon-Larsen | M. Nauck | M. Dörr | L. Xue | Jie Huang | C. Huth | P. Navarro | J. V. Vliet-Ostaptchouk | N. Heard-Costa | T. Workalemahu | K. Monda | M. Lorentzon | J. Ngwa | L. Vandenput | A. Chu | A. Justice | U. Lim | D. Pasko | C. Bellis | G. Delgado | T. Grammer | M. Hassinen | M. Sarzynski | M. Graff | K. Young | T. Ebeling | Mette Hollensted | F. Renström | Mao Fu | Sian-Tsung Tan | D. Thuillier | Q. Qi | M. Aadahl | Matthias Olden | M. Juonala | L. Rasmussen-Torvik | Tao Huang | T. Corre | G. Cadby | M. Hoed | K. Savonen | J. Eicher | L. Paternoster | M. Moor | J. Nettleton | H. Puolijoki | N. Hutri-Kähönen | G. Silbernagel | J. Auvinen | R. Männikkö | P. J. Most | J. Eriksson | Llilda Barata | Shafqat Ahmad | Nicole D Dueker | C. Huppertz | J. Borja | E. Lim | Jeremiah Perez | Richard | Annette Peters | K. Færch | S. Sidney | Heikki | K. Harald | Natalia V. Rivera | W. Musk | N. Rivera | J. Hayes | Oddgeir L. Holmens | Mary | J. Gong | A. Smith | S. Bien | Jennifer | Heather | O. Raitakari | A. Koistinen | G. D. Smith | Paul | U. Peters | A. | F. Feitosa | E. Huffman | Marie | Neergaard Harder | M. Stringham | Anne | U. Jackson | Samuel Johansson | ren Snitker | -. Yu | Ching-Hsia Cheng | Linda S. Adair | N. Bergman | ren Brage | Francis | S. Collins | N. Esko | G. Grootheest | J. Jansson | A. Peyser | M. Ridker | P. Marques-Vidal | M. Olden | S. Tan | A. Smith
[1] C. Ulrich,et al. Accelerometry and physical activity questionnaires - a systematic review , 2016, BMC Public Health.
[2] Tanya M. Teslovich,et al. The Influence of Age and Sex on Genetic Associations with Adult Body Size and Shape: A Large-Scale Genome-Wide Interaction Study , 2015, PLoS Genetics.
[3] J. Christians,et al. Pappa2 deletion alters IGFBPs but has little effect on glucose disposal or adiposity. , 2015, Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society.
[4] S. Humphries,et al. Functional Analysis of a Carotid Intima-Media Thickness Locus Implicates BCAR1 and Suggests a Causal Variant , 2015, Circulation. Cardiovascular genetics.
[5] Manolis Kellis,et al. FTO Obesity Variant Circuitry and Adipocyte Browning in Humans. , 2015, The New England journal of medicine.
[6] Ross M. Fraser,et al. Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.
[7] Michael Q. Zhang,et al. Integrative analysis of 111 reference human epigenomes , 2015, Nature.
[8] Florian Kronenberg,et al. EasyStrata: evaluation and visualization of stratified genome-wide association meta-analysis data , 2015, Bioinform..
[9] Tamara S. Roman,et al. New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.
[10] M. Daly,et al. LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.
[11] Epidemiology Branch. Genome-Wide Meta-Analysis of Joint Tests for Genetic and Gene-Environment Interaction Effects , 2015 .
[12] Audrey Y. Chu,et al. FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. , 2014, Human molecular genetics.
[13] C. Ling,et al. Epigenetic adaptation to regular exercise in humans. , 2014, Drug discovery today.
[14] Zoltán Kutalik,et al. Quality control and conduct of genome-wide association meta-analyses , 2014, Nature Protocols.
[15] Peggy Hall,et al. The NHGRI GWAS Catalog, a curated resource of SNP-trait associations , 2013, Nucleic Acids Res..
[16] Andrew D. Johnson,et al. Synthesis of 53 tissue and cell line expression QTL datasets reveals master eQTLs , 2014, BMC Genomics.
[17] S. Snyder,et al. Dexras1 mediates glucocorticoid-associated adipogenesis and diet-induced obesity , 2013, Proceedings of the National Academy of Sciences.
[18] Jian Wang,et al. Detection of a novel frameshift mutation and regions with homozygosis within ARHGEF28 gene in familial amyotrophic lateral sclerosis , 2013, Amyotrophic lateral sclerosis & frontotemporal degeneration.
[19] Audrey Y. Chu,et al. Gene × Physical Activity Interactions in Obesity: Combined Analysis of 111,421 Individuals of European Ancestry , 2013, PLoS genetics.
[20] Andrew D. Johnson,et al. Gene Expression Signatures of Coronary Heart Disease , 2013, Arteriosclerosis, thrombosis, and vascular biology.
[21] Anthony S. Kaleth,et al. Association between sleep disorders, obesity, and exercise: a review , 2013, Nature and science of sleep.
[22] Devin R. de Zwaan,et al. Pregnancy Associated Plasma Protein A2 (PAPP-A2) Affects Bone Size and Shape and Contributes to Natural Variation in Postnatal Growth in Mice , 2013, PloS one.
[23] Joel Eriksson,et al. FTO genotype is associated with phenotypic variability of body mass index , 2012, Nature.
[24] M. Strong,et al. Co-aggregation of RNA binding proteins in ALS spinal motor neurons: evidence of a common pathogenic mechanism , 2012, Acta Neuropathologica.
[25] Ulf Ekelund,et al. A systematic review of reliability and objective criterion-related validity of physical activity questionnaires , 2012, International Journal of Behavioral Nutrition and Physical Activity.
[26] Tanya M. Teslovich,et al. The Metabochip, a Custom Genotyping Array for Genetic Studies of Metabolic, Cardiovascular, and Anthropometric Traits , 2012, PLoS genetics.
[27] Tanya M. Teslovich,et al. No Interactions Between Previously Associated 2-Hour Glucose Gene Variants and Physical Activity or BMI on 2-Hour Glucose Levels , 2012, Diabetes.
[28] C. Barnes,et al. Genome-Wide Screen for Metabolic Syndrome Susceptibility Loci Reveals Strong Lipid Gene Contribution But No Evidence for Common Genetic Basis for Clustering of Metabolic Syndrome Traits , 2012, Circulation. Cardiovascular genetics.
[29] P. Visscher,et al. Conditional and joint multiple-SNP analysis of GWAS summary statistics identifies additional variants influencing complex traits , 2012, Nature Genetics.
[30] D. O'Gorman,et al. Acute exercise remodels promoter methylation in human skeletal muscle. , 2012, Cell metabolism.
[31] Jiang Li,et al. Genome‐Wide Association of BMI in African Americans , 2012, Obesity.
[32] Yusuke Nakamura,et al. Common variants at CDKAL1 and KLF9 are associated with body mass index in east Asian populations , 2012, Nature Genetics.
[33] G. Chrousos,et al. Genome wide analysis reveals association of a FTO gene variant with epigenetic changes. , 2012, Genomics.
[34] Dvir Aran,et al. Genome-wide survey reveals predisposing diabetes type 2-related DNA methylation variations in human peripheral blood. , 2012, Human molecular genetics.
[35] D. Corella,et al. A high intake of saturated fatty acids strengthens the association between the fat mass and obesity-associated gene and BMI. , 2011, The Journal of nutrition.
[36] Iris M Heid,et al. To stratify or not to stratify: power considerations for population‐based genome‐wide association studies of quantitative traits , 2011, Genetic epidemiology.
[37] S. Cohen,et al. MAPK/ERK Signaling Regulates Insulin Sensitivity to Control Glucose Metabolism in Drosophila , 2011, PLoS genetics.
[38] E. Demerath,et al. Physical Activity Attenuates the Influence of FTO Variants on Obesity Risk: A Meta-Analysis of 218,166 Adults and 19,268 Children , 2011, PLoS medicine.
[39] M. Lazar,et al. Forming functional fat: a growing understanding of adipocyte differentiation , 2011, Nature Reviews Molecular Cell Biology.
[40] Min Liu,et al. CEP70 Protein Interacts with γ-Tubulin to Localize at the Centrosome and Is Critical for Mitotic Spindle Assembly* , 2011, The Journal of Biological Chemistry.
[41] J. Beckmann,et al. Novel method to estimate the phenotypic variation explained by genome‐wide association studies reveals large fraction of the missing heritability , 2011, Genetic epidemiology.
[42] C. Gieger,et al. Genome-Wide Association Study Identifies Novel Restless Legs Syndrome Susceptibility Loci on 2p14 and 16q12.1 , 2011, PLoS genetics.
[43] C. Conover,et al. Pregnancy-associated plasma protein-A2 (PAPP-A2): tissue expression and biological consequences of gene knockout in mice. , 2011, Endocrinology.
[44] P. Ridker,et al. Lifestyle Interaction With Fat Mass and Obesity-Associated (FTO) Genotype and Risk of Obesity in Apparently Healthy U.S. Women , 2011, Diabetes Care.
[45] Peter Kraft,et al. Genome-Wide Meta-Analysis of Joint Tests for Genetic and Gene-Environment Interaction Effects , 2011, Human Heredity.
[46] G. Abecasis,et al. MaCH: using sequence and genotype data to estimate haplotypes and unobserved genotypes , 2010, Genetic epidemiology.
[47] Ian M. Morison,et al. Integrated Genetic and Epigenetic Analysis Identifies Haplotype-Specific Methylation in the FTO Type 2 Diabetes and Obesity Susceptibility Locus , 2010, PloS one.
[48] Thomas Meitinger,et al. Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution , 2010, Nature Genetics.
[49] 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.
[50] Yun Li,et al. METAL: fast and efficient meta-analysis of genomewide association scans , 2010, Bioinform..
[51] M. Laakso,et al. The rs1800629 polymorphism in the TNF gene interacts with physical activity on the changes in C-reactive protein levels in the Finnish Diabetes Prevention Study. , 2010, Experimental and clinical endocrinology & diabetes : official journal, German Society of Endocrinology [and] German Diabetes Association.
[52] Tanya M. Teslovich,et al. Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index , 2010 .
[53] M. Orho-Melander,et al. Fat and carbohydrate intake modify the association between genetic variation in the FTO genotype and obesity. , 2009, The American journal of clinical nutrition.
[54] 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.
[55] Suzette J. Bielinski,et al. NRXN3 Is a Novel Locus for Waist Circumference: A Genome-Wide Association Study from the CHARGE Consortium , 2009, PLoS genetics.
[56] Yongtao Guan,et al. Practical Issues in Imputation-Based Association Mapping , 2008, PLoS genetics.
[57] T. Hansen,et al. Low Physical Activity Accentuates the Effect of the FTO rs9939609 Polymorphism on Body Fat Accumulation , 2008, Diabetes.
[58] P. Donnelly,et al. A new multipoint method for genome-wide association studies by imputation of genotypes , 2007, Nature Genetics.
[59] R. Ophoff,et al. Common Genetic Variations in CCK, Leptin, and Leptin Receptor Genes Are Associated With Specific Human Eating Patterns , 2007, Diabetes.
[60] Peter Nürnberg,et al. Positional cloning uncovers mutations in PLCE1 responsible for a nephrotic syndrome variant that may be reversible , 2006, Nature Genetics.
[61] H. Towle,et al. ChREBP•Mlx Is the Principal Mediator of Glucose-induced Gene Expression in the Liver* , 2006, Journal of Biological Chemistry.
[62] J. Repa,et al. Carbohydrate response element binding protein, ChREBP, a transcription factor coupling hepatic glucose utilization and lipid synthesis. , 2006, Cell metabolism.
[63] C. Bouchard,et al. The TNF-alpha G-308A polymorphism is associated with C-reactive protein levels: the HERITAGE Family Study. , 2006, Vascular pharmacology.
[64] A. Bird,et al. Epigenetic regulation of gene expression: how the genome integrates intrinsic and environmental signals , 2003, Nature Genetics.
[65] D. Dupuy,et al. SCAN domain-containing 2 gene (SCAND2) is a novel nuclear protein derived from the zinc finger family by exon shuffling. , 2002, Gene.
[66] S. Roy,et al. MEKK1 plays a critical role in activating the transcription factor C/EBP-beta-dependent gene expression in response to IFN-gamma. , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[67] H. Hamm,et al. A Novel Bifunctional Phospholipase C That Is Regulated by Gα12 and Stimulates the Ras/Mitogen-activated Protein Kinase Pathway* , 2001, The Journal of Biological Chemistry.
[68] A. Astrup,et al. Obesity : Preventing and managing the global epidemic , 2000 .
[69] A. Stunkard,et al. Intrapair resemblance in very low calorie diet-induced weight loss in female obese identical twins , 2000, International Journal of Obesity.
[70] Ling Zhao,et al. Transient Induction of ENC-1, a Kelch-related Actin-binding Protein, Is Required for Adipocyte Differentiation* , 2000, The Journal of Biological Chemistry.
[71] T. Lømo,et al. Ras is involved in nerve-activity-dependent regulation of muscle genes , 2000, Nature Cell Biology.
[72] Who Consultation on Obesity. Obesity: preventing and managing the global epidemic. Report of a WHO consultation. , 2000, World Health Organization technical report series.
[73] K. Roeder,et al. Genomic Control for Association Studies , 1999, Biometrics.
[74] F. Diderichsen,et al. Exposure-dependent misclassification of exposure in interaction analyses. , 1999, Epidemiology.
[75] ScienceDirect. Growth hormone & IGF research : official journal of the Growth Hormone Research Society and the International IGF Research Society. , 1998 .
[76] C. Bouchard,et al. Genetic influences on the response of body fat and fat distribution to positive and negative energy balances in human identical twins. , 1997, The Journal of nutrition.
[77] L. Kunkel,et al. Molecular characterization of Br-cadherin, a developmentally regulated, brain-specific cadherin. , 1997, Proceedings of the National Academy of Sciences of the United States of America.
[78] J. Keene,et al. Hel-N1/Hel-N2 proteins are bound to poly(A)+ mRNA in granular RNP structures and are implicated in neuronal differentiation. , 1996, Journal of cell science.
[79] D. Ragland,et al. Dichotomizing Continuous Outcome Variables: Dependence of the Magnitude of Association and Statistical Power on the Cutpoint , 1992, Epidemiology.
[80] A Tremblay,et al. The response to long-term overfeeding in identical twins. , 1990, The New England journal of medicine.
[81] F. Pi‐Sunyer,et al. Effects of cholecystokinin-octapeptide (CCK-8) on food intake and gastric emptying in man , 1988, Physiology & Behavior.
[82] G. P. Smith,et al. Cholecystokinin decreases food intake in rats. , 1973, Journal of comparative and physiological psychology.