Evidence map›Paper›PMID 35132194›Full record

ArticleEuropean journal of clinical nutrition2022

A genome-wide association study on adherence to low-carbohydrate diets in Japanese.

Yasuyuki Nakamura, Takashi Tamura, Akira Narita, Atsushi Shimizu, Yoichi Sutoh, Naoyuki Takashima, Kenji Matsui, Naoko Miyagawa, Aya Kadota, Katsuyuki Miura and 27 more

Abstract read
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In one paragraph

Article in European journal of clinical nutrition, 2022. 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
0.2field-weighted citation impact, top 49% of its field
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, 2 citations in OpenAlex.

  1. Article
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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

37 authors at 14 institutions in 1 country.

Yasuyuki NakamuraDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan. nakamura@belle.shiga-med.ac.jp.ORCID http://orcid.org/0000-0002-3710-5258
Takashi TamuraDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Akira NaritaDepartment of Integrative Genomics, Tohoku Medical Megabank Organization, Tohoku University, Sendai, Japan.
Atsushi ShimizuDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa-gun, Iwate, Japan.
Yoichi SutohDivision of Biomedical Information Analysis, Iwate Tohoku Medical Megabank Organization, Iwate Medical University, Shiwa-gun, Iwate, Japan.
Naoyuki TakashimaDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.ORCID http://orcid.org/0000-0002-9593-6797
Kenji MatsuiDepartment of Public Health, Shiga University of Medical Science, Otsu, Japan.
Naoko MiyagawaDepartment 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.
Jun OtonariDepartment of Psychosomatic Medicine, International University of Health and Welfare Narita Hospital, Narita, Japan.
Hiroaki IkezakiDepartment of Comprehensive General Internal Medicine, Graduate School of Medical Sciences, Kyushu University, Fukuoka, Japan.
Asahi HishidaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Mako NagayoshiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Rieko OkadaDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID http://orcid.org/0000-0002-6206-2501
Yoko KuboDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
Keitaro TanakaDepartment of Preventive Medicine, Faculty of Medicine, Saga University, Saga, Japan.
Chisato ShimanoeDepartment of Pharmacy, Saga University Hospital, Saga, Japan.ORCID http://orcid.org/0000-0002-3561-9538
Rie IbusukiSchool of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan.
Daisaku NishimotoSchool of Health Sciences, Faculty of Medicine, Kagoshima University, Kagoshima, Japan.
Isao OzeDivision of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID http://orcid.org/0000-0002-0762-1147
Hidemi ItoDivision of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan.ORCID http://orcid.org/0000-0002-8023-4581
Etsuko OzakiDepartment of Epidemiology for Community Health and Medicine, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Daisuke MatsuiDepartment 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.
Sadao SuzukiDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Miki WatanabeDepartment of Public Health, Nagoya City University Graduate School of Medical Sciences, Nagoya, Japan.
Kokichi ArisawaDepartment of Preventive Medicine, Tokushima University Graduate School of Biomedical Sciences, Tokushima, Japan.
Sakurako Katsuura-KamanoDepartment 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.
Masahiro NakatochiPublic Health Informatics Unit, Department of Integrated Health Sciences, Nagoya University Graduate School of Medicine, Nagoya, Japan.ORCID http://orcid.org/0000-0002-1838-4837
Yukihide MomozawaLaboratory for Genotyping Development, RIKEN Center for Integrative Medical Sciences, Kanagawa, Japan.ORCID http://orcid.org/0000-0001-5638-3504
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.
Kenji WakaiDepartment of Preventive Medicine, Nagoya University Graduate School of Medicine, Nagoya, Japan.
J-MICC Research Group Consortium
Nagoya University · JPShiga University of Medical Science · JPAichi Cancer Center · JPChiba Cancer Center · JPIwate Medical University · JPKagoshima University · JPKyoto Prefectural University of Medicine · JPKyushu University · JPNagoya City University · JPRIKEN Center for Integrative Medical Sciences · JPSaga University · JPTokushima University · JPTohoku University · JPUniversity of Shizuoka · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesLow-carbohydrate diets (LCD) are useful for weight reduction, and 50-55% carbohydrate consumption is associated with minimal risk. Genetic differences were related to nutritional consumption, food preferences, and dietary patterns, but whether particular genetic differences in individuals influence LCD adherence is unknown. SUBJECTS/

methodsWe conducted a GWAS on adherence to LCD utilizing 14,076 participants from the Japan Multi-Institutional Collaborative Cohort study. We used a previously validated semiquantitative food frequency questionnaire to estimate food consumption. Association of the imputed variants with the LCD score by Halton et al. we used linear regression analysis adjusting for sex, age, total dietary energy consumption, and components 1 to 10 by principal component analysis. We repeated the analysis with adjustment for alcohol consumption (g/day) in addition to the above-described variables.

resultsMen and women combined analysis without adjustment for alcohol consumption; we found 395 variants on chromosome 12 associated with the LCD score having P values <5 × 10

conclusionWe found rs671 was inversely associated with adherence to LCD, but that was strongly confounded by alcohol consumption.

Indexed as

Diet, Carbohydrate-RestrictedGenome-Wide Association StudyCohort StudiesFemaleHumansJapanMaleRisk

Identifiers

PMID35132194
OpenAlexW4210823163

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.