GWAS of 165,084 Japanese individuals identified nine loci associated with dietary habits

[1]  Y. Kamatani,et al.  Functional variants in ADH1B and ALDH2 are non-additively associated with all-cause mortality in Japanese population , 2019, European Journal of Human Genetics.

[2]  D. Chasman,et al.  A genome-wide association study of bitter and sweet beverage consumption. , 2019, Human molecular genetics.

[3]  M. Kanai,et al.  GWAS of smoking behaviour in 165,436 Japanese people reveals seven new loci and shared genetic architecture , 2019, Nature Human Behaviour.

[4]  M. Kanai,et al.  Genetic and phenotypic landscape of the major histocompatibilty complex region in the Japanese population , 2019, Nature Genetics.

[5]  Dajiang J. Liu,et al.  Association studies of up to 1.2 million individuals yield new insights into the genetic etiology of tobacco and alcohol use , 2018, Nature Genetics.

[6]  Y. Okada eLD: entropy-based linkage disequilibrium index between multiallelic sites , 2018, Human Genome Variation.

[7]  P. Kraft,et al.  A genome-wide association study of energy intake and expenditure , 2018, PloS one.

[8]  S. Katsuura-Kamano,et al.  Inverse association between soy food consumption, especially fermented soy products intake and soy isoflavone, and arterial stiffness in Japanese men , 2018, Scientific Reports.

[9]  Kazuhiko Yamamoto,et al.  Deep whole-genome sequencing reveals recent selection signatures linked to evolution and disease risk of Japanese , 2018, Nature Communications.

[10]  M. Kanai,et al.  Genetic analysis of quantitative traits in the Japanese population links cell types to complex human diseases , 2018, Nature Genetics.

[11]  M. Kubo,et al.  A genome-wide association study in the Japanese population identifies the 12q24 locus for habitual coffee consumption: The J-MICC Study , 2018, Scientific Reports.

[12]  Audrey Y. Chu,et al.  Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts , 2017, PloS one.

[13]  M. Kanai,et al.  Genome-wide association study identifies 112 new loci for body mass index in the Japanese population , 2017, Nature Genetics.

[14]  K. Rawlik,et al.  An atlas of genetic associations in UK Biobank , 2017, bioRxiv.

[15]  A. McQuillin,et al.  Genetic variants in ALDH1B1 and alcohol dependence risk in a British and Irish population: A bioinformatic and genetic study , 2017, PloS one.

[16]  A. Tremblay,et al.  Yogurt, diet quality and lifestyle factors , 2017, European Journal of Clinical Nutrition.

[17]  N. Risch,et al.  Genetic Contributors to Variation in Alcohol Consumption Vary by Race/Ethnicity in a Large Multi-Ethnic Genome-wide Association Study , 2017, Molecular Psychiatry.

[18]  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.

[19]  B. Voight,et al.  Patterns of shared signatures of recent positive selection across human populations , 2017, Nature Ecology & Evolution.

[20]  Y. Kamatani,et al.  Overview of the BioBank Japan Project: Study design and profile , 2017, Journal of epidemiology.

[21]  Chuan-Chao Wang,et al.  Molecular adaption of alcohol metabolism to agriculture in East Asia , 2016 .

[22]  T. Spector,et al.  Genome-wide association study of caffeine metabolites provides new insights to caffeine metabolism and dietary caffeine-consumption behavior. , 2016, Human molecular genetics.

[23]  P. O’Reilly,et al.  KLB is associated with alcohol drinking, and its gene product β-Klotho is necessary for FGF21 regulation of alcohol preference , 2016, Proceedings of the National Academy of Sciences.

[24]  L. Karssen,et al.  Non-additive genome-wide association scan reveals a new gene associated with habitual coffee consumption , 2016, Scientific Reports.

[25]  M. Kubo,et al.  ALDH2 polymorphism is associated with fasting blood glucose through alcohol consumption in Japanese men , 2016, Nagoya journal of medical science.

[26]  J. Fallowfield,et al.  Systematic review with meta‐analysis: coffee consumption and the risk of cirrhosis , 2016, Alimentary pharmacology & therapeutics.

[27]  Sanghoon Moon,et al.  Evaluation of pleiotropic effects among common genetic loci identified for cardio-metabolic traits in a Korean population , 2016, Cardiovascular Diabetology.

[28]  Daniel Marbach,et al.  Fast and Rigorous Computation of Gene and Pathway Scores from SNP-Based Summary Statistics , 2016, PLoS Comput. Biol..

[29]  Yakir A Reshef,et al.  Partitioning heritability by functional annotation using genome-wide association summary statistics , 2015, Nature Genetics.

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

[31]  J. J. Wang,et al.  Genome-wide meta-analysis identifies six novel loci associated with habitual coffee consumption , 2014, Molecular Psychiatry.

[32]  S. Tsugane,et al.  The JPHC study: design and some findings on the typical Japanese diet. , 2014, Japanese journal of clinical oncology.

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

[34]  Ellen T. Gelfand,et al.  The Genotype-Tissue Expression (GTEx) project , 2013, Nature Genetics.

[35]  M. Schwab,et al.  Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation. , 2013, Pharmacology & therapeutics.

[36]  Xueli Yang,et al.  Common variants at 12q24 are associated with drinking behavior in Han Chinese. , 2013, The American journal of clinical nutrition.

[37]  N. Wray,et al.  Genome-wide association analysis of coffee drinking suggests association with CYP1A1/CYP1A2 and NRCAM , 2011, Molecular Psychiatry.

[38]  R. Mägi,et al.  Sequence variants at CYP1A1-CYP1A2 and AHR associate with coffee consumption. , 2011, Human molecular genetics.

[39]  E. Rimm,et al.  Genome-Wide Meta-Analysis Identifies Regions on 7p21 (AHR) and 15q24 (CYP1A2) As Determinants of Habitual Caffeine Consumption , 2011, PLoS genetics.

[40]  B. Han,et al.  Genome-wide association studies identify genetic loci related to alcohol consumption in Korean men. , 2011, The American journal of clinical nutrition.

[41]  T. Hansen,et al.  Genetic determinants of both ethanol and acetaldehyde metabolism influence alcohol hypersensitivity and drinking behaviour among Scandinavians , 2009, Clinical and experimental allergy : journal of the British Society for Allergy and Clinical Immunology.

[42]  A. Linneberg,et al.  The association of ADH and ALDH gene variants with alcohol drinking habits and cardiovascular disease risk factors. , 2008, Alcoholism, clinical and experimental research.

[43]  Ahmed El-Sohemy,et al.  Genetic polymorphism of the adenosine A2A receptor is associated with habitual caffeine consumption. , 2007, The American journal of clinical nutrition.

[44]  Marcia M. Nizzari,et al.  Genome-Wide Association Analysis Identifies Loci for Type 2 Diabetes and Triglyceride Levels , 2007, Science.

[45]  W. Daniel,et al.  Effect of cytochrome P450 (CYP) inducers on caffeine metabolism in the rat. , 2007, Pharmacological reports : PR.

[46]  M. Inoue,et al.  Influence of coffee drinking on subsequent risk of hepatocellular carcinoma: a prospective study in Japan. , 2005, Journal of the National Cancer Institute.

[47]  A. Guillouzo,et al.  Evidence for the involvement of several cytochromes P-450 in the first steps of caffeine metabolism by human liver microsomes. , 1991, Drug metabolism and disposition: the biological fate of chemicals.

[48]  I. Deary,et al.  Genome-wide association study of alcohol consumption and genetic overlap with other health-related traits in UK Biobank (N= 112117) , 2017 .

[49]  A. Turrini,et al.  Sociodemographic and lifestyle characteristics of yogurt consumers in Italy: Results from the INRAN-SCAI 2005-06 survey , 2015 .

[50]  L A Farrer,et al.  Genome-wide association study of alcohol dependence:significant findings in African- and European-Americans including novel risk loci , 2014, Molecular Psychiatry.

[51]  T. Ogihara,et al.  Confirmation of ALDH2 as a Major locus of drinking behavior and of its variants regulating multiple metabolic phenotypes in a Japanese population. , 2011, Circulation Journal.

[52]  M. Suganuma,et al.  Preventive effects of drinking green tea on cancer and cardiovascular disease: epidemiological evidence for multiple targeting prevention. , 2000, BioFactors.