Evidence map›Paper›PMID 31959922›Full record

ArticleNature human behaviour2020

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

Nana Matoba, Masato Akiyama, Kazuyoshi Ishigaki, Masahiro Kanai, Atsushi Takahashi, Yukihide Momozawa, Shiro Ikegawa, Masashi Ikeda, Nakao Iwata, Makoto Hirata and 5 more

Abstract read
PubMed Publisher
In one paragraph

Article in Nature human behaviour, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 78 papers, 9 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
78citing papers in PubMed, 9 pooled it
–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

78 citing papers in PubMed, 9 syntheses or guidelines pooled it.

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18 more citing papers are in PubMed but not listed here.

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

15 authors.

Nana MatobaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-5329-0134
Masato AkiyamaLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Kazuyoshi IshigakiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0003-2881-0657
Masahiro KanaiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-5165-4408
Atsushi TakahashiLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.ORCID http://orcid.org/0000-0001-7099-8767
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Shiro IkegawaLaboratory for Bone and Joint Diseases, RIKEN Center for Integrative Medical Sciences, Tokyo, Japan.ORCID http://orcid.org/0000-0003-0316-2147
Masashi IkedaDepartment of Psychiatry, Fujita Health University School of Medicine, Toyotake, Japan.ORCID http://orcid.org/0000-0001-6237-2449
Nakao IwataDepartment of Psychiatry, Fujita Health University School of Medicine, Toyotake, Japan.ORCID http://orcid.org/0000-0003-3189-6076
Makoto HirataInstitute of Medical Science, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-9994-9958
Koichi MatsudaGraduate School of Frontier Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0001-7292-2686
Yoshinori MurakamiDivision of Molecular Pathology, the Institute of Medical Sciences, The University of Tokyo, Tokyo, Japan.ORCID http://orcid.org/0000-0002-2826-4396
Michiaki KuboRIKEN Center for Integrative Medical Sciences, Yokohama, Japan.
Yoichiro KamataniLaboratory for Statistical Analysis, RIKEN Center for Integrative Medical Sciences, Yokohama, Japan. yoichiro.kamatani@riken.jp.ORCID http://orcid.org/0000-0001-8748-5597
Yukinori OkadaDepartment of Statistical Genetics, Osaka University Graduate School of Medicine, Suita, Japan. yokada@sg.med.osaka-u.ac.jp.ORCID http://orcid.org/0000-0002-0311-8472

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dietary habits are important factors in our lifestyle, and confer both susceptibility to and protection from a variety of human diseases. We performed genome-wide association studies for 13 dietary habits including consumption of alcohol (ever versus never drinkers and drinks per week), beverages (coffee, green tea and milk) and foods (yoghurt, cheese, natto, tofu, fish, small whole fish, vegetables and meat) in Japanese individuals (n = 58,610-165,084) collected by BioBank Japan, the nationwide hospital-based genome cohort. Significant associations were found in nine genetic loci (MCL1-ENSA, GCKR, AGR3-AHR, ADH1B, ALDH1B1, ALDH1A1, ALDH2, CYP1A2-CSK and ADORA2A-AS1) for 13 dietary traits (P < 3.8 × 10

Indexed as

BeveragesDrinking BehaviorFeeding BehaviorFoodGenome-Wide Association StudyAdultAlcohol DrinkingCohort StudiesDatabases, GeneticGenetic LociGenetic PleiotropyHumansJapan

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.