SynthesisPloS one2017
Genome-wide association meta-analysis of fish and EPA+DHA consumption in 17 US and European cohorts.
Open access · goldAbstract readMeta-Analysis
In one paragraph
Synthesis in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
1.9field-weighted citation impact, top 14% of its field
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- Intake of dietary fats and fatty acids and the incidence of type 2 diabetes: A systematic review and dose-response meta-analysis of prospective observational studies.PLoS medicine · 2020Pooled it
- Association between DHA and depression: results from the NHANES 2011-2014 and a bidirectional Mendelian randomization analysis.European journal of medical research · 2025Article
- Causal impact of genetically-determined fish and fish oil intake on epigenetic age acceleration and related serum markers.Human genomics · 2025Article
- The relationship between height and fruit/vegetable intakes in adults: A nationwide cross-sectional study.Nutrition and health · 2024Article
- Characterization of three new plant growth-promoting microbes and effects of the interkingdom interactions on plant growth and disease prevention.Plant cell reports · 2023Article
- A genome-wide association study on adherence to low-carbohydrate diets in Japanese.European journal of clinical nutrition · 2022Article
- Scientific advice related to nutrient profiling for the development of harmonised mandatory front-of-pack nutrition labelling and the setting of nutrient profiles for restricting nutrition and health claims on foods.EFSA journal. European Food Safety Authority · 2022Article
- A genome-wide association study in Japanese identified one variant associated with a preference for a Japanese dietary pattern.European journal of clinical nutrition · 2021Article
- Review
- A genome-wide association study on fish consumption in a Japanese population-the Japan Multi-Institutional Collaborative Cohort study.European journal of clinical nutrition · 2021Article
- GWAS of 165,084 Japanese individuals identified nine loci associated with dietary habits.Nature human behaviour · 2020Article
- Prioritization of Variants for Investigation of Genotype-Directed Nutrition in Human Superpopulations.International journal of molecular sciences · 2019Article
- Identification of the 12q24 locus associated with fish intake frequency by genome-wide meta-analysis in Japanese populations.Genes & nutrition · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
65 authors at 20 institutions in 8 countries.
Dariush MozaffarianFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.ORCID http://orcid.org/0000-0001-7958-9492
Hassan S DashtiFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States of America.
Audrey Y ChuDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.
Jennifer A NettletonDivision of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States of America.
Satu MännistöNational Institute for Health and Welfare, Helsinki, Finland.
Kati KristianssonNational Institute for Health and Welfare, Helsinki, Finland.
Mägi ReedikEstonian Genome Center, University of Tartu, Tartu, Estonia.
Jari LahtiInstitute of Behavioural Sciences, University of Helsinki, Helsinki, Finland.
Denise K HoustonSticht Center on Aging, Wake Forest School of Medicine, Winston Salem, NC, United States of America.
Marilyn C CornelisDepartment of Nutrition, Harvard School of Public Health, Boston, MA, United States of America.
Frank J A van RooijDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
Maria DimitriouDepartment of Dietetics and Nutrition, Harokopio University, Athens, Greece.
Stavroula KanoniWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
Vera MikkiläDepartment of Food and Environmental Sciences, University of Helsinki, Finland.
Lyn M SteffenDivision of Epidemiology and Community Health, University of Minnesota School of Public Health, Minneapolis, MN, United States of America.
Marcia C de Oliveira OttoDivision of Epidemiology, Human Genetics and Environmental Sciences, University of Texas Health Science Center at Houston, Houston, TX, United States of America.
Lu QiNetherlands Genomics Initiative-sponsored Netherlands Consortium for Healthy Aging, Leiden, The Netherlands.
Bruce PsatyDepartment of Medicine, Epidemiology and Health Services, University of Washington, Seattle, WA, United States of America.
Luc DjousseDepartment of Medicine, Harvard Medical School, and Division of Aging Brigham and Women's Hospital, Boston, MA, United States of America.
Jerome I RotterLos Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-UCLA Medical Center, Los Angeles, CA, United States of America.
Kennet HaraldNational Institute for Health and Welfare, Helsinki, Finland.
Markus PerolaNational Institute for Health and Welfare, Helsinki, Finland.
Harri RissanenNational Institute for Health and Welfare, Helsinki, Finland.
Antti JulaNational Institute for Health and Welfare, Helsinki, Finland.
Fischer KristaEstonian Genome Center, University of Tartu, Tartu, Estonia.
Evelin MihailovEstonian Genome Center, University of Tartu, Tartu, Estonia.
Mary F FeitosaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States of America.
Julius S NgwaDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
Luting XueDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
Paul F JacquesFriedman School of Nutrition Science & Policy, Tufts University, Boston, MA, United States of America.
Mia-Maria PeräläDepartment of Chronic Disease Prevention, National Institute for Health and Welfare, Helsinki, Finland.
Aarno PalotieInstitute for Molecular Medicine Finland (FIMM), University of Helsinki, Helsinki, Finland.
Yongmei LiuDepartment of Biostatistical Sciences, Wake Forest School of Medicine, Winston Salem, NC, United States of America.
Nike A NallsLaboratory of Neurogenetics, National Institute of Aging, Bethesda, MD, United States of America.
Luigi FerrucciClinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America.
Dena HernandezLaboratory of Neurogenetics, National Institute of Aging, Bethesda, MD, United States of America.
Ani ManichaikulCenter for Public Health Genomics and Division of Biostatistics and Epidemiology, Department of Public Health Sciences, University of Virginia, Charlottesville, VA, United States of America.
Michael Y TsaiDepartment of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, United States of America.
Jessica C Kiefte-de JongDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
Albert HofmanDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
André G UitterlindenDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
Loukianos RallidisSecond Department of Cardiology, University General Hospital Attikon, Athens, Greece.
Paul M RidkerNational Institute for Health and Welfare, Helsinki, Finland.
Lynda M RoseDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.
Julie E BuringDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.
Terho LehtimäkiDepartment of Clinical Chemistry, Fimlab Laboratories, University of Tampere School of Medicine, Tampere, Finland.
Mika KähönenDepartment of Clinical Physiology, University of Tampere and Tampere University Hospital, Tampere, Finland.
Jorma ViikariDepartment of Medicine, University of Turku and Turku University Hospital, Turku, Finland.
Rozenn LemaitreDepartment of Medicine, University of Washington, Seattle, WA, United States of America.
Veikko SalomaaNational Institute for Health and Welfare, Helsinki, Finland.
Paul KnektNational Institute for Health and Welfare, Helsinki, Finland.
Andres MetspaluEstonian Genome Center, University of Tartu, Tartu, Estonia.
Ingrid B BoreckiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, United States of America.
L Adrienne CupplesDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, United States of America.
Johan G ErikssonNational Institute for Health and Welfare, Helsinki, Finland.
Stephen B KritchevskySticht Center on Aging, Wake Forest School of Medicine, Winston Salem, NC, United States of America.
Stefania BandinelliGeriatric Rehabilitation Unit, Azienda Sanitaria Firenze, Florence, Italy.
David SiscovickNew York Academy of Medicine, New York, NY, United States of America.
Oscar H FrancoDepartment of Epidemiology, Erasmus MC, Rotterdam, The Netherlands.
Panos DeloukasWilliam Harvey Research Institute, Barts and The London School of Medicine and Dentistry, Queen Mary University of London, London, United Kingdom.
George DedoussisDepartment of Dietetics and Nutrition, Harokopio University, Athens, Greece.
Daniel I ChasmanDivision of Preventive Medicine, Brigham and Women's Hospital, Boston, MA, United States of America.
Olli RaitakariResearch Centre of Applied and Preventive Cardiovascular Medicine, University of Turku, Turku, Finland.
Toshiko TanakaClinical Research Branch, National Institute on Aging, Baltimore, MD, United States of America.
Finnish Institute for Health and Welfare · FIBrigham and Women's Hospital · USUniversity of Helsinki · FIErasmus MC · NLNational Institute on Aging · USUniversity of Tartu · EEBoston University · USTufts University · USWake Forest University · USHarokopio University of Athens · GRHarvard University · USQueen Mary University of London · GBThe University of Texas Health Science Center at Houston · USUniversity of Minnesota · USUniversity of Turku · FIUniversity of Washington · USAzienda Sanitaria di Firenze · ITLeiden University · NLNetherlands Consortium for Healthy Ageing · NLNew York Academy of Medicine · US
Funding
Subject CollectionU10AA008401 · NIAAA · SUNY DOWNSTATE MEDICAL CENTER · PI Yunlong Liu · 1989 to 2026
$162.7MUCLA Clinical Translational Science InstituteUL1TR001881 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ARLEEN F. BROWN, ARASH NAEIM · 2016 to 2026
$118.1MInstitute for Clinical and Translational Research (UL1)UL1RR025005 · NCRR · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2007 to 2011
$75.8MCTSA INFRASTRUCTURE FOR PEDIATRIC RESEARCHUL1RR024156 · NCRR · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI GINSBERG, HENRY N · 2006 to 2011
$53.0MTransgenic & Knock-out MouseP30DK063491 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Andrea L Hevener · 2003 to 2026
$40.4MWomen's Health Study: Continued Follow-upR01CA047988 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI BURING, JULIE E., LEE, I-MIN · 1991 to 2014
$28.2MJH/CIDR Genotyping for Genome-Wide Association StudiesU01HG004438 · NHGRI · JOHNS HOPKINS UNIVERSITY · PI VALLE, DAVID · 2007 to 2011
$24.2MGENETIC SUSCEPTIBILITY TO CANCER IN MULTIETHNIC COHORTSR01CA063464 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI HENDERSON, BRIAN E · 2001 to 2005
$23.2MMultiethnic Cohort Study of Diet and CancerR37CA054281 · NCI · UNIVERSITY OF HAWAII AT MANOA · PI KOLONEL, LAURENCE N. · 2003 to 2012
$23.2MLong Term Multidisciplinary Study of Cancer in Women: The Nurses Health StudyUM1CA186107 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ELIASSEN, A. HEATHER, STAMPFER, MEIR · 2014 to 2023
$22.3MZORVIRAX ORAL SUSPENSION FOR SEVERE CHILDHOOD HERPES VIRUS INFECTIONSM01RR000069 · NCRR · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 1985 to 2008
$22.1MA Center for GEI Association StudiesU01HG004424 · NHGRI · MASSACHUSETTS INSTITUTE OF TECHNOLOGY · PI GABRIEL, STACEY · 2007 to 2010
$21.4MIntramural NIH HHS Z01 CP010200NCATS NIH HHS UL1 TR001881NCI NIH HHS P01 CA089392NCI NIH HHS R01 CA040356NCI NIH HHS R01 CA047988NCI NIH HHS R01 CA054281NCI NIH HHS R01 CA063464NCI NIH HHS R37 CA054281NCI NIH HHS U01 CA063464NCI NIH HHS U01 CA098233NCI NIH HHS U01 CA136792NCI NIH HHS UM1 CA167552NCI NIH HHS UM1 CA182913NCI NIH HHS UM1 CA186107NCRR NIH HHS M01 RR000069NCRR NIH HHS UL1 RR024156NCRR NIH HHS UL1 RR025005NEI NIH HHS T32 EY022303NHGRI NIH HHS HHSN268200782096CNHGRI NIH HHS U01 HG004399NHGRI NIH HHS U01 HG004402NHGRI NIH HHS U01 HG004415NHGRI NIH HHS U01 HG004422NHGRI NIH HHS U01 HG004423NHGRI NIH HHS U01 HG004424NHGRI NIH HHS U01 HG004436NHGRI NIH HHS U01 HG004438NHGRI NIH HHS U01 HG004446NHGRI NIH HHS U01 HG004726NHGRI NIH HHS U01 HG004728NHGRI NIH HHS U01 HG004729NHGRI NIH HHS U01 HG004735NHGRI NIH HHS U01 HG004738NHLBI NIH HHS HHSN268200800007CNHLBI NIH HHS HHSN268201200036CNHLBI NIH HHS N01 HC055222NHLBI NIH HHS N01 HC085079NHLBI NIH HHS N01 HC085080NHLBI NIH HHS N01 HC085081NHLBI NIH HHS N01 HC085082NHLBI NIH HHS N01 HC085083NHLBI NIH HHS N01 HC085086NHLBI NIH HHS N01 HC095159NHLBI NIH HHS N01 HC095169NHLBI NIH HHS R01 HL043851NHLBI NIH HHS R01 HL059367NHLBI NIH HHS R01 HL080467NHLBI NIH HHS R01 HL085710NHLBI NIH HHS R01 HL086694NHLBI NIH HHS R01 HL087641NHLBI NIH HHS R01 HL105756NHLBI NIH HHS R01 HL117078NHLBI NIH HHS U01 HL056567NHLBI NIH HHS U01 HL067893NHLBI NIH HHS U01 HL067894NHLBI NIH HHS U01 HL067895NHLBI NIH HHS U01 HL067896NHLBI NIH HHS U01 HL067897NHLBI NIH HHS U01 HL067898NHLBI NIH HHS U01 HL067899NHLBI NIH HHS U01 HL067900NHLBI NIH HHS U01 HL067901NHLBI NIH HHS U01 HL067902NHLBI NIH HHS U01 HL080295NIAAA NIH HHS U10 AA008401NIA NIH HHS N01 AG062101NIA NIH HHS N01 AG062103NIA NIH HHS N01 AG062106NIA NIH HHS R01 AG023629NIA NIH HHS R01 AG032098NIDA NIH HHS R01 DA013423NIDCR NIH HHS U01 DE018903NIDCR NIH HHS U01 DE018993NIDDK NIH HHS K01 DK082729NIDDK NIH HHS K24 DK080140NIDDK NIH HHS P01 DK070756NIDDK NIH HHS P30 DK063491NIDDK NIH HHS R01 DK078616NIMHD NIH HHS R01 MD009164Wellcome Trust
Abstract
backgroundRegular fish and omega-3 consumption may have several health benefits and are recommended by major dietary guidelines. Yet, their intakes remain remarkably variable both within and across populations, which could partly owe to genetic influences.
objectiveTo identify common genetic variants that influence fish and dietary eicosapentaenoic acid plus docosahexaenoic acid (EPA+DHA) consumption.
designWe conducted genome-wide association (GWA) meta-analysis of fish (n = 86,467) and EPA+DHA (n = 62,265) consumption in 17 cohorts of European descent from the CHARGE (Cohorts for Heart and Aging Research in Genomic Epidemiology) Consortium Nutrition Working Group. Results from cohort-specific GWA analyses (additive model) for fish and EPA+DHA consumption were adjusted for age, sex, energy intake, and population stratification, and meta-analyzed separately using fixed-effect meta-analysis with inverse variance weights (METAL software). Additionally, heritability was estimated in 2 cohorts.
resultsHeritability estimates for fish and EPA+DHA consumption ranged from 0.13-0.24 and 0.12-0.22, respectively. A significant GWA for fish intake was observed for rs9502823 on chromosome 6: each copy of the minor allele (FreqA = 0.015) was associated with 0.029 servings/day (~1 serving/month) lower fish consumption (P = 1.96x10-8). No significant association was observed for EPA+DHA, although rs7206790 in the obesity-associated FTO gene was among top hits (P = 8.18x10-7). Post-hoc calculations demonstrated 95% statistical power to detect a genetic variant associated with effect size of 0.05% for fish and 0.08% for EPA+DHA.
conclusionsThese novel findings suggest that non-genetic personal and environmental factors are principal determinants of the remarkable variation in fish consumption, representing modifiable targets for increasing intakes among all individuals. Genes underlying the signal at rs72838923 and mechanisms for the association warrant further investigation.
Indexed as
Genome-Wide Association StudySeafoodAdultAgedCohort StudiesDocosahexaenoic AcidsEicosapentaenoic AcidEuropeFemaleHumansMaleMiddle AgedUnited StatesWhite PeopleDocosahexaenoic AcidsEicosapentaenoic Acid
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