Genome-wide association study of habitual physical activity in over 377,000 UK Biobank participants identifies multiple variants including CADM2 and APOE

[1]  Po-Ru Loh,et al.  Mixed-model association for biobank-scale datasets , 2018, Nature Genetics.

[2]  Alkes L. Price,et al.  Mixed-model association for biobank-scale datasets , 2018, Nature Genetics.

[3]  M. N. Poy,et al.  Cadm2 regulates body weight and energy homeostasis in mice , 2017, Molecular metabolism.

[4]  J. Marchini,et al.  Genome-wide association studies of brain structure and function 1 in the UK Biobank 2 , 2018 .

[5]  Lloyd T. Elliott,et al.  The genetic basis of human brain structure and function: 1,262 genome-wide associations found from 3,144 GWAS of multimodal brain imaging phenotypes from 9,707 UK Biobank participants , 2017, bioRxiv.

[6]  Paul J. Harrison,et al.  Genome-wide analysis of self-reported risk-taking behaviour and cross-disorder genetic correlations in the UK Biobank cohort , 2017, bioRxiv.

[7]  P. Donnelly,et al.  Genome-wide genetic data on ~500,000 UK Biobank participants , 2017, bioRxiv.

[8]  Kristin G Ardlie,et al.  Genetic Analysis in UK Biobank Links Insulin Resistance and Transendothelial Migration Pathways to Coronary Artery Disease , 2017, Nature Genetics.

[9]  Robert Plomin,et al.  Genome-wide association meta-analysis of 78,308 individuals identifies new loci and genes influencing human intelligence , 2017, Nature Genetics.

[10]  S. Kathiresan,et al.  Genetic Analysis of Venous Thromboembolism in UK Biobank Identifies the ZFPM2 Locus and Implicates Obesity as a Causal Risk Factor , 2017, Circulation. Cardiovascular genetics.

[11]  I. Deary,et al.  Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N=112 117) , 2017, Molecular Psychiatry.

[12]  A. Auton,et al.  Replication and characterization of CADM2 and MSRA genes on human behavior , 2017, bioRxiv.

[13]  D. Posthuma,et al.  17 FUMA: FUNCTIONAL MAPPING AND ANNOTATION OF GENETIC ASSOCIATIONS , 2017, European Neuropsychopharmacology.

[14]  Nils Y. Hammerla,et al.  Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study , 2017, PloS one.

[15]  I. Deary,et al.  Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank , 2017 .

[16]  Aaron F. McDaid,et al.  Quantifying the extent to which index event biases influence large genetic association studies , 2016, bioRxiv.

[17]  Andres Metspalu,et al.  Genome-Wide Association Analyses in 128,266 Individuals Identifies New Morningness and Sleep Duration Loci , 2016, PLoS genetics.

[18]  L. Wain,et al.  Haplotype estimation for biobank scale datasets , 2016, Nature Genetics.

[19]  Tom R. Gaunt,et al.  LD Hub: a centralized database and web interface to perform LD score regression that maximizes the potential of summary level GWAS data for SNP heritability and genetic correlation analysis , 2016, bioRxiv.

[20]  D. Gudbjartsson,et al.  Physical and neurobehavioral determinants of reproductive onset and success , 2016, Nature Genetics.

[21]  Sayan Mukherjee,et al.  Fast Principal-Component Analysis Reveals Convergent Evolution of ADH1B in Europe and East Asia. , 2016, American journal of human genetics.

[22]  Po-Ru Loh,et al.  A Robust Example of Collider Bias in a Genetic Association Study. , 2016, American journal of human genetics.

[23]  Blair H. Smith,et al.  GWAS for executive function and processing speed suggests involvement of the CADM2 gene , 2016, Molecular Psychiatry.

[24]  Leif Groop,et al.  The (in)famous GWAS P-value threshold revisited and updated for low-frequency variants , 2016, European Journal of Human Genetics.

[25]  Garrett I. Ash,et al.  Obesity-Related Genetic Variants and their Associations with Physical Activity , 2015, Sports Medicine - Open.

[26]  Tom R. Gaunt,et al.  The UK10K project identifies rare variants in health and disease , 2016 .

[27]  Jun S. Liu,et al.  The Genotype-Tissue Expression (GTEx) pilot analysis: Multitissue gene regulation in humans , 2015, Science.

[28]  M. Daly,et al.  An Atlas of Genetic Correlations across Human Diseases and Traits , 2015, Nature Genetics.

[29]  Joris M. Mooij,et al.  MAGMA: Generalized Gene-Set Analysis of GWAS Data , 2015, PLoS Comput. Biol..

[30]  P. Elliott,et al.  UK Biobank: An Open Access Resource for Identifying the Causes of a Wide Range of Complex Diseases of Middle and Old Age , 2015, PLoS medicine.

[31]  Ross M. Fraser,et al.  Genetic studies of body mass index yield new insights for obesity biology , 2015, Nature.

[32]  Peter Kraft,et al.  Adjusting for heritable covariates can bias effect estimates in genome-wide association studies. , 2015, American journal of human genetics.

[33]  Tamara S. Roman,et al.  New genetic loci link adipose and insulin biology to body fat distribution , 2014, Nature.

[34]  B. Berger,et al.  Efficient Bayesian mixed model analysis increases association power in large cohorts , 2014, Nature Genetics.

[35]  M. Daly,et al.  LD Score regression distinguishes confounding from polygenicity in genome-wide association studies , 2014, Nature Genetics.

[36]  Frank Dudbridge,et al.  Gene-Environment Dependence Creates Spurious Gene-Environment Interaction , 2014, American journal of human genetics.

[37]  Kosuke Imai,et al.  mediation: R Package for Causal Mediation Analysis , 2014 .

[38]  Ulf Ekelund,et al.  Age group comparability of raw accelerometer output from wrist- and hip-worn monitors. , 2014, Medicine and science in sports and exercise.

[39]  C. Spencer,et al.  Biological Insights From 108 Schizophrenia-Associated Genetic Loci , 2014, Nature.

[40]  E. Mariman,et al.  Heritability and genetic etiology of habitual physical activity: a twin study with objective measures , 2014, Genes & Nutrition.

[41]  Andy H. Lee,et al.  Joint Identification of Genetic Variants for Physical Activity in Korean Population , 2014, International journal of molecular sciences.

[42]  M. Hagger,et al.  What keeps a body moving? The brain-derived neurotrophic factor val66met polymorphism and intrinsic motivation to exercise in humans , 2014, Journal of Behavioral Medicine.

[43]  Nicholas J. Timpson,et al.  Assessing Causality in the Association between Child Adiposity and Physical Activity Levels: A Mendelian Randomization Analysis , 2014, PLoS medicine.

[44]  M. Herring,et al.  Genetic factors in exercise adoption, adherence and obesity , 2014, Obesity reviews : an official journal of the International Association for the Study of Obesity.

[45]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[46]  T. Spector,et al.  Heritability of objectively assessed daily physical activity and sedentary behavior1234 , 2013, The American journal of clinical nutrition.

[47]  A. Lucia,et al.  Exercise is the real polypill. , 2013, Physiology.

[48]  M. Spitz,et al.  Sensation‐seeking genes and physical activity in youth , 2013, Genes, brain, and behavior.

[49]  Hollis G. Potter,et al.  Author Manuscript , 2013 .

[50]  Po-Huang Chyou,et al.  A Simple and Robust Way of Concluding Meta-Analysis Results Using Reported P values, Standardized Effect Sizes, or Other Statistics , 2012, Clinical Medicine & Research.

[51]  Kenny Q. Ye,et al.  An integrated map of genetic variation from 1,092 human genomes , 2012, Nature.

[52]  J. Wells,et al.  Correlates of physical activity: why are some people physically active and others not? , 2012, The Lancet.

[53]  Disorder Working Group.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 , 2012, Nature Genetics.

[54]  J. Marchini,et al.  Genotype Imputation with Thousands of Genomes , 2011, G3: Genes | Genomes | Genetics.

[55]  Manuel A. R. Ferreira,et al.  Large-scale genome-wide association analysis of bipolar disorder identifies a new susceptibility locus near ODZ4 , 2011, Nature Genetics.

[56]  J. T. Lightfoot.  Current understanding of the genetic basis for physical activity. , 2011, The Journal of nutrition.

[57]  T. Spector,et al.  Variance Components Models for Physical Activity With Age as Modifier: A Comparative Twin Study in Seven Countries , 2011, Twin Research and Human Genetics.

[58]  Henrik,et al.  Association analyses of 249,796 individuals reveal eighteen new loci associated with body mass index , 2012 .

[59]  Tanya M. Teslovich,et al.  Association analyses of 249,796 individuals reveal 18 new loci associated with body mass index , 2010 .

[60]  P. Sullivan,et al.  Genome-wide association study of exercise behavior in Dutch and American adults. , 2009, Medicine and science in sports and exercise.

[61]  S. Blair.  Physical inactivity: the biggest public health problem of the 21st century. , 2009, British journal of sports medicine.

[62]  T. Spector,et al.  Genetic Influences on Exercise Participation in 37.051 Twin Pairs from Seven Countries , 2006, PloS one.

[63]  U. Ekelund,et al.  Criterion-related validity of the last 7-day, short form of the International Physical Activity Questionnaire in Swedish adults , 2006, Public Health Nutrition.

[64]  J. Ordovás,et al.  Angiotensin-converting enzyme genotype and adherence to aerobic exercise training. , 2006, Preventive cardiology.

[65]  K. Westerterp,et al.  Genetic analysis of physical activity in twins. , 2005, The American journal of clinical nutrition.

[66]  A. Manley.  Physical Activity And Health: A Report Of The Surgeon General , 2004 .

[67]  P. Thompson,et al.  Apolipoprotein E genotype and changes in serum lipids and maximal oxygen uptake with exercise training. , 2004, Metabolism: clinical and experimental.

[68]  B. Ainsworth,et al.  International physical activity questionnaire: 12-country reliability and validity. , 2003, Medicine and science in sports and exercise.

[69]  A. Bauman,et al.  Correlates of adults' participation in physical activity: review and update. , 2002, Medicine and science in sports and exercise.

[70]  Berrit C Stroehla,et al.  Apolipoprotein E polymorphism and cardiovascular disease: a HuGE review. , 2002, American journal of epidemiology.

[71]  D. Levy,et al.  Apolipoprotein E genotype and cardiovascular disease in the Framingham Heart Study. , 2001, Atherosclerosis.

[72]  D. Gunnell,et al.  Area based measures of social and economic circumstances: cause specific mortality patterns depend on the choice of index , 2001, Journal of epidemiology and community health.

[73]  J. Meyer,et al.  Familial determinants of moderate and intense physical activity: a twin study. , 1997, Medicine and science in sports and exercise.

[74]  A. Folsom,et al.  Physical activity and incidence of coronary heart disease in middle-aged women and men. , 1997, Medicine and science in sports and exercise.

[75]  W. Strawbridge,et al.  Natural history of leisure-time physical activity and its correlates: associations with mortality from all causes and cardiovascular disease over 28 years. , 1996, American journal of epidemiology.

[76]  B. Ainsworth,et al.  Ability of the Atherosclerosis Risk in Communities (ARIC)/Baecke Questionnaire to assess leisure-time physical activity. , 1995, International journal of epidemiology.

[77]  A. D. Roses,et al.  Association of apolipoprotein E allele €4 with late-onset familial and sporadic Alzheimer’s disease , 2006 .

[78]  M. Pericak-Vance,et al.  Linkage studies in familial Alzheimer disease: evidence for chromosome 19 linkage. , 1991, American journal of human genetics.

[79]  Aric Invest.  The Atherosclerosis Risk in Communities (ARIC) Study: design and objectives. The ARIC investigators , 1989 .

[80]  C. Bouchard,et al.  Genetic and environmental influences on level of habitual physical activity and exercise participation. , 1989, American journal of epidemiology.

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

[82]  J E Frijters,et al.  A short questionnaire for the measurement of habitual physical activity in epidemiological studies. , 1982, The American journal of clinical nutrition.

[83]  J. Kaprio,et al.  Cigarette smoking, use of alcohol, and leisure-time physical activity among same-sexed adult male twins. , 1981, Progress in clinical and biological research.