Evidence map›Paper›PMID 28345493›Full record

ArticleThe British journal of nutrition2017

Genetic risk scores, sex and dietary factors interact to alter serum uric acid trajectory among African-American urban adults.

May A Beydoun, Jose-Atilio Canas, Marie T Fanelli-Kuczmarski, Salman M Tajuddin, Michele K Evans, Alan B Zonderman

Abstract read
In one paragraph

Article in The British journal of nutrition, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
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  6. Article
  7. Review
  8. Risk Predictors of High Uric Acid Levels Among Patients with Type-2 Diabetes.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
  9. Article
  10. 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

6 authors.

May A Beydoun1Laboratory of Epidemiology and Population Sciences,National Institute on Aging (NIA),National Institutes of Health, Intramural Research Program (NIH/IRP),Baltimore,MD 21224,USA.
Jose-Atilio Canas2Pediatric Endocrinology, Diabetes and Metabolism,Nemour's Children's Clinic,Jacksonville,FL 32207,USA.
Marie T Fanelli-Kuczmarski3Department of Behavioral Health and Nutrition,University of Delaware,Newark,DE 19716,USA.
Salman M Tajuddin1Laboratory of Epidemiology and Population Sciences,National Institute on Aging (NIA),National Institutes of Health, Intramural Research Program (NIH/IRP),Baltimore,MD 21224,USA.
Michele K Evans1Laboratory of Epidemiology and Population Sciences,National Institute on Aging (NIA),National Institutes of Health, Intramural Research Program (NIH/IRP),Baltimore,MD 21224,USA.
Alan B Zonderman1Laboratory of Epidemiology and Population Sciences,National Institute on Aging (NIA),National Institutes of Health, Intramural Research Program (NIH/IRP),Baltimore,MD 21224,USA.

Funding

Healthy Aging In Neighborhoods of Diversity Across the Life Span (HANDLS)ZIAAG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2009 to 2025
$70.9M
Healthy Aging Neighborhoods of Diversity Across LifespanZ01AG000513 · NIA · NATIONAL INSTITUTE ON AGING · PI EVANS, MICHELE K · 2001 to 2008
$6.8M
Intramural NIH HHS Z01 AG000513Intramural NIH HHS Z99 AG999999
6 · The paper itself

Abstract

Serum uric acid (SUA), a causative agent for gout among others, is affected by both genetic and dietary factors, perhaps differentially by sex. We evaluated cross-sectional (SUAbase) and longitudinal (SUArate) associations of SUA with a genetic risk score (GRS), diet and sex. We then tested the interactive effect of GRS, diet and sex on SUA. Longitudinal data on 766 African-American urban adults participating in the Healthy Aging in Neighborhood of Diversity across the Lifespan study were used. In all, three GRS for SUA were created from known SUA-associated SNP (GRSbase (n 12 SNP), GRSrate (n 3 SNP) and GRStotal (n 15 SNP)). Dietary factors included added sugar, total alcohol, red meat, total fish, legumes, dairy products, caffeine and vitamin C. Mixed-effects linear regression models were conducted. SUAbase was higher among men compared with that among women, and increased with GRStotal tertiles. SUArate was positively associated with legume intake in women (γ=+0·14; 95 % CI +0·06, +0·22, P=0·001) and inversely related to dairy product intake in both sexes combined (γ=-0·042; 95 % CI -0·075, -0·009), P=0·010). SUAbase was directly linked to alcohol consumption among women (γ=+0·154; 95 % CI +0·046, +0·262, P=0·005). GRSrate was linearly related to SUArate only among men. Legume consumption was also positively associated with SUArate within the GRStotal's lowest tertile. Among women, a synergistic interaction was observed between GRSrate and red meat intake in association with SUArate. Among men, a synergistic interaction between low vitamin C and genetic risk was found. In sum, sex-diet, sex-gene and gene-diet interactions were detected in determining SUA. Further similar studies are needed to replicate our findings.

Indexed as

Black or African AmericanDietGenetic Predisposition to DiseaseSex FactorsAdultAlcohol DrinkingAscorbic Acid DeficiencyCohort StudiesCross-Sectional StudiesFabaceaeFemaleHumansHyperuricemiaLongitudinal StudiesMaleMiddle AgedUric AcidAA African-AmericanAfrican-AmericansDietsGenetic risk scoresGRS genetic risk scoreHANDLS Healthy Aging in Neighborhoods of Diversity Across the Lifespanmember 9Serum uric acidSLC2A9 solute carrier family 2 (facilitated GLUT)SUA serum uric acidUA uric acidUrban adults

Identifiers

PMID28345493
PMCPMC5679207

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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.