Evidence map›Paper›PMID 24932782›Full record

ArticleNutrition & diabetes2014

Genetic risk score and adiposity interact to influence triglyceride levels in a cohort of Filipino women.

N Zubair, E J Mayer-Davis, M A Mendez, K L Mohlke, K E North, L S Adair

Open access · goldAbstract read
In one paragraph

Article in Nutrition & diabetes, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.2field-weighted citation impact, top 19% 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, 18 citations in OpenAlex.

  1. Trial
  2. An overview of persistent chylomicronemia: much more than meets the eye.Current opinion in endocrinology, diabetes, and obesity · 2025
    Review
  3. Polygenic Risk of Hypertriglyceridemia Is Modified by BMI.International journal of molecular sciences · 2022
    Article
  4. Article
  5. Genetics of Hypertriglyceridemia.Frontiers in endocrinology · 2020
    Review
  6. Article
  7. Article
  8. Article
  9. Article
  10. 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

6 authors at 2 institutions in 2 countries.

N ZubairPublic Health Sciences Division, Cancer Prevention, Fred Hutchinson Cancer Research Center, Seattle, WA, USA.
E J Mayer-DavisDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
M A MendezDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
K L MohlkeDepartment of Genetics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
K E NorthDepartment of Epidemiology and Carolina Center for Genome Sciences, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
L S AdairDepartment of Nutrition, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
University of North Carolina at Chapel Hill · USCape Town HVTN Immunology Laboratory / Hutchinson Centre Research Institute of South Africa · ZA

Funding

Research Services CoreP2CHD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KAREN B GUZZO · 2015 to 2026
$9.6M
Modeling the Developmental Origins of Adult Disease Risk FactorsR01HD054501 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2008 to 2012
$2.0M
Obesity development and CVD risk factor--Filipino womenR01HL085144 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2006 to 2009
$1.9M
Effect of Health on Education &Work in Filipino YouthR01TW005596 · FIC · UNIVERSITY OF NORTH CAROLINA CHAPEL HILL · PI ADAIR, LINDA S · 2001 to 2005
$1.5M
FIC NIH HHS R01 TW005596NHLBI NIH HHS R01 HL085144NICHD NIH HHS P2C HD050924NICHD NIH HHS R01 HD054501
6 · The paper itself

Abstract

BACKGROUND/

objectivesIndividually, genetic variants only moderately influence cardiometabolic (CM) traits, such as lipid and inflammatory markers. In this study we generated genetic risk scores from a combination of previously reported variants influencing CM traits, and used these scores to explore how adiposity levels could mediate genetic contributions to CM traits. SUBJECTS/

methodsParticipants included 1649 women from the 2005 Cebu Longitudinal Health and Nutrition Survey. Three genetic risk scores were constructed for C-reactive protein (CRP), high-density lipoprotein cholesterol (HDL-C) and triglycerides (TGs). We used linear regression models to assess the association between each genetic risk score and its related trait. We also tested for interactions between each score and measures of adiposity.

resultsEach genetic risk score explained a greater proportion of variance in trait levels than any individual genetic variant. We found an interaction between the TG genetic risk score (2.29-14.34 risk alleles) and waist circumference (WC) (Pinteraction=1.66 × 10(-2)). Based on model predictions, for individuals with a higher TG genetic risk score (75th percentile=12), having an elevated WC (⩾80 cm) increased TG levels from 1.32 to 1.71 mmol l(-1). However, for individuals with a lower score (25th percentile=7), having an elevated WC did not significantly change TG levels.

conclusionsThe TG genetic risk score interacted with adiposity to synergistically influence TG levels. For individuals with a genetic predisposition to elevated TG levels, our results suggest that reducing adiposity could possibly prevent further increases in TG levels and thereby lessen the likelihood of adverse health outcomes such as cardiovascular disease.

Identifiers

PMID24932782
PMCPMC4079926
OpenAlexW2055068369

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.