Evidence map›Paper›PMID 29477148›Full record

SynthesisNutrition journal2018

Gene-diet interaction effects on BMI levels in the Singapore Chinese population.

Xuling Chang, Rajkumar Dorajoo, Ye Sun, Yi Han, Ling Wang, Chiea-Chuen Khor, Xueling Sim, E-Shyong Tai, Jianjun Liu, Jian-Min Yuan and 4 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in Nutrition journal, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 3 pooled it
1.4field-weighted citation impact, top 17% 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

10 citing papers in PubMed, 3 syntheses or guidelines pooled it, 22 citations in OpenAlex.

  1. Polygenic Risk and Nutrient Intake Interactions on Obesity Outcomes: A Systematic Review and Meta-Analysis of Observational Studies.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    Pooled it
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  4. Trial
  5. Review
  6. Article
  7. Article
  8. Observational
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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

14 authors at 6 institutions in 3 countries.

Xuling ChangDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore; and Khoo Teck Puat - National University Children's Medical Institute, National University Health System, NUHS Tower Block, Level 12, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Rajkumar DorajooGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Ye SunDepartment of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Yi HanDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore; and Khoo Teck Puat - National University Children's Medical Institute, National University Health System, NUHS Tower Block, Level 12, 1E Kent Ridge Road, Singapore, 119228, Singapore.
Ling WangGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Chiea-Chuen KhorGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Xueling SimSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
E-Shyong TaiSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Jianjun LiuGenome Institute of Singapore, Agency for Science, Technology and Research, Singapore, Singapore.
Jian-Min YuanDepartment of Epidemiology, Graduate School of Public Health; and University of Pittsburgh Cancer Institute, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Woon-Puay KohSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Rob M van DamSaw Swee Hock School of Public Health, National University of Singapore, Singapore, Singapore.
Yechiel FriedlanderSchool of Public Health and Community Medicine, Hebrew University of Jerusalem, Jerusalem, Israel. yechielf@ekmd.huji.ac.il.
Chew-Kiat HengDepartment of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore; and Khoo Teck Puat - National University Children's Medical Institute, National University Health System, NUHS Tower Block, Level 12, 1E Kent Ridge Road, Singapore, 119228, Singapore. paehck@nus.edu.sg.
National University Health System · SGNational University of Singapore · SGAgency for Science, Technology and Research · SGGenome Institute of Singapore · SGHebrew University of Jerusalem · ILUPMC Hillman Cancer Center · US

Funding

Prospective studies of cancer etiology and prevention in Shanghai and SingaporeR01CA144034 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2010 to 2014
$7.0M
Cancer epidemiology cohorts in Shanghai and Singapore UM1CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2014 to 2018
$4.3M
The Singapore Chinese Health StudyU01CA182876 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI YUAN, JIAN-MIN · 2019 to 2019
$150k
HUJ-CREATE Programme of the National Research Foundation, Singapore 370062002National Institute of Health, USA R01 CA144034 and UM1 CA182876NCI NIH HHS R01 CA144034NCI NIH HHS U01 CA182876NCI NIH HHS UM1 CA182876
6 · The paper itself

Abstract

backgroundRecent genome-wide association studies (GWAS) have identified 97 body-mass index (BMI) associated loci. We aimed to evaluate if dietary intake modifies BMI associations at these loci in the Singapore Chinese population.

methodsWe utilized GWAS information from six data subsets from two adult Chinese population (N = 7817). Seventy-eight genotyped or imputed index BMI single nucleotide polymorphisms (SNPs) that passed quality control procedures were available in all datasets. Alternative Healthy Eating Index (AHEI)-2010 score and ten nutrient variables were evaluated. Linear regression analyses between z score transformed BMI (Z-BMI) and dietary factors were performed. Interaction analyses were performed by introducing the interaction term (diet x SNP) in the same regression model. Analysis was carried out in each cohort individually and subsequently meta-analyzed using the inverse-variance weighted method. Analyses were also evaluated with a weighted gene-risk score (wGRS) contructed by BMI index SNPs from recent large-scale GWAS studies.

resultsNominal associations between Z-BMI and AHEI-2010 and some dietary factors were identified (P = 0.047-0.010). The BMI wGRS was robustly associated with Z-BMI (P = 1.55 × 10

conclusionsThe CCDC171 gene locus may interact with cholesterol intake to increase BMI in the Singaporean Chinese population, however most known obesity risk loci were not associated with dietary intake and did not interact with diet to modify BMI levels.

Indexed as

Body Mass IndexDietGenotypeAdultAgedAged, 80 and overAsian PeopleCholesterol, DietaryCross-Sectional StudiesFemaleGene-Environment InteractionGenome-Wide Association StudyHumansMaleMiddle AgedObesityCholesterol, DietaryBody mass indexDietGene-diet interaction studyObesity

Identifiers

PMID29477148
PMCPMC6389173
OpenAlexW2788448938

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.