Evidence map›Paper›PMID 34733494›Full record

ArticleJournal of nutritional science2021

A genome-wide association study on meat consumption in a Japanese population: the Japan Multi-Institutional Collaborative Cohort study.

Yasuyuki Nakamura, Akira Narita, Yoichi Sutoh, Nahomi Imaeda, Chiho Goto, Kenji Matsui, Naoyuki Takashima, Aya Kadota, Katsuyuki Miura, Masahiro Nakatochi and 24 more

Abstract read
In one paragraph

Article in Journal of nutritional science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Association ofNutrients · 2022
    Article
  3. ALDH2 variance in disease and populations.Disease models & mechanisms · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

34 authors.

Yasuyuki NakamuraDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Akira NaritaDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Yoichi SutohDivision of Biomedical Information Analysis, Institute for Biomedical Sciences, Iwate Medical University, Shiwa-gun, Iwate, Japan.
Nahomi ImaedaDepartment of Nutrition, Faculty of Wellness, Shigakkan University, Obu, Japan.
Chiho GotoDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Kenji MatsuiDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Aya KadotaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Katsuyuki MiuraDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID 0000-0002-1838-4837
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Ryoko NakashimaDepartment of General Internal Medicine, Kyushu University Hospital, Fukuoka, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Faculty of Medical Sciences, Kyushu University Graduate School, Fukuoka, Japan.
Megumi HaraDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Yuichiro NishidaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Toshiro TakezakiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Rie IbusukiDepartment of International Island and Community Medicine, Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Japan.
Isao OzeDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center, Nagoya, Japan.
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center, Nagoya, Japan.
Nagato KuriyamaDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Haruo MikamiCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Miho KusakabeCancer Prevention Center, Chiba Cancer Center Research Institute, Chiba, Japan.
Hiroko Nakagawa-SendaDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Sakurako Katsuura-KamanoDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kokichi ArisawaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Kiyonori KurikiLaboratory of Public Health, Division of Nutritional Sciences, School of Food and Nutritional Sciences, University of Shizuoka, Shizuoka, Japan.
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Michiaki KuboLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.
Kenji TakeuchiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Yoshikuni KitaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent genome-wide association studies (GWAS) on the dietary habits of the Japanese population have shown that an effect rs671 allele was inversely associated with fish consumption, whereas it was directly associated with coffee consumption. Although meat is a major source of protein and fat in the diet, whether genetic factors that influence meat-eating habits in healthy populations are unknown. This study aimed to conduct a GWAS to find genetic variations that affect meat consumption in a Japanese population. We analysed GWAS data using 14 076 participants from the Japan Multi-Institutional Collaborative Cohort (J-MICC) study. We used a semi-quantitative food frequency questionnaire to estimate food intake that was validated previously. Association of the imputed variants with total meat consumption per 1000 kcal energy was performed by linear regression analysis with adjustments for age, sex, and principal component analysis components 1-10. We found that no genetic variant, including rs671, was associated with meat consumption. The previously reported single nucleotide polymorphisms that were associated with meat consumption in samples of European ancestry could not be replicated in our J-MICC data. In conclusion, significant genetic factors that affect meat consumption were not observed in a Japanese population.

Indexed as

Genome-Wide Association StudyPolymorphism, Single NucleotideCohort StudiesJapanMeatALDH2, aldehyde dehydrogenase 2BMI, body mass indexFFQ, food frequency questionnaireGenome-wide association studyGWAS, genome-wide association studyJ-MICC, Japan Multi-Institutional Collaborative CohortMeat consumptionPCA, principal component analysisQ–Q, quantile–quantileRs671SNP, single nucleotide polymorphism

Identifiers

PMID34733494
PMCPMC8532070

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.