Evidence map›Paper›PMID 27352405›Full record

ArticleEnvironmental health perspectives2017

Association of Cardiometabolic Genes with Arsenic Metabolism Biomarkers in American Indian Communities: The Strong Heart Family Study (SHFS).

Poojitha Balakrishnan, Dhananjay Vaidya, Nora Franceschini, V Saroja Voruganti, Matthew O Gribble, Karin Haack, Sandra Laston, Jason G Umans, Kevin A Francesconi, Walter Goessler and 8 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 2 pooled it
5.1field-weighted citation impact, top 5% 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

24 citing papers in PubMed, 2 syntheses or guidelines pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. AS3MT facilitates NLRP3 inflammasome activation by mCell biology and toxicology · 2023
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  14. Rare, Protein-Altering Variants inEnvironmental health perspectives · 2021
    Article
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  19. Review
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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

18 authors at 9 institutions in 2 countries.

Poojitha BalakrishnanDepartment of Environmental Health Sciences, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, USA.
Dhananjay Vaidya
Nora Franceschini
V Saroja Voruganti
Matthew O Gribble
Karin Haack
Sandra Laston
Jason G Umans
Kevin A Francesconi
Walter Goessler
Kari E North
Elisa Lee
Joseph Yracheta
Lyle G Best
Jean W MacCluer
Jack Kent
Shelley A Cole
Ana Navas-Acien
Texas Biomedical Research Institute · USJohns Hopkins University · USMissouri Breaks Industries Research (United States) · USUniversity of Graz · ATEmory University · USGeorgetown-Howard Universities Center for Clinical and Translational Science · USThe University of Texas Rio Grande Valley · USUniversity of North Carolina at Chapel Hill · USUniversity of Oklahoma Health Sciences Center · US

Funding

Maternal Morbidity and Mortality: Risk Factors, Early Detection and Personalized InterventionUL1TR001409 · NCATS · GEORGETOWN UNIVERSITY · PI GONDRE-LEWIS, MARJORIE C, MELLMAN, THOMAS A · 2015 to 2024
$37.8M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Pilot Project ProgramP30ES019776 · NIEHS · EMORY UNIVERSITY · PI Carmen Joseph Marsit · 2013 to 2026
$22.6M
Traning Program in Environmental Health SciencesT32ES007141 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI Marsha Wills-Karp · 1985 to 2026
$22.2M
CVD in American Indians Study and Data Management Center and OK Field CenterR01HL109284 · NHLBI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI STONER, JULIE A · 2013 to 2018
$4.6M
CVD in American Indians Biomarker lab and Arizona Field CenterR01HL109319 · NHLBI · MEDSTAR HEALTH RESEARCH INSTITUTE · PI UMANS, JASON G · 2013 to 2017
$3.6M
CVD in American Indians Genetics CenterR01HL109301 · NHLBI · TEXAS BIOMEDICAL RESEARCH INSTITUTE · PI COLE, SHELLEY A · 2013 to 2018
$3.2M
Arsenic Exposure, Genetic Determinants and Diabetes Risk in a Family StudyR01ES021367 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI NAVAS-ACIEN, ANA, VAIDYA, DHANANJAY MADHUKAR · 2012 to 2015
$2.4M
NCATS NIH HHS UL1 TR001409NHLBI NIH HHS R01 HL109284NHLBI NIH HHS R01 HL109301NHLBI NIH HHS R01 HL109319NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES019776NIEHS NIH HHS R01 ES021367NIEHS NIH HHS T32 ES007141
6 · The paper itself

Abstract

backgroundMetabolism of inorganic arsenic (iAs) is subject to inter-individual variability, which is explained partly by genetic determinants.

objectivesWe investigated the association of genetic variants with arsenic species and principal components of arsenic species in the Strong Heart Family Study (SHFS).

methodsWe examined variants previously associated with cardiometabolic traits (~ 200,000 from Illumina Cardio MetaboChip) or arsenic metabolism and toxicity (670) among 2,428 American Indian participants in the SHFS. Urine arsenic species were measured by high performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS), and percent arsenic species [iAs, monomethylarsonate (MMA), and dimethylarsinate (DMA), divided by their sum × 100] were logit transformed. We created two orthogonal principal components that summarized iAs, MMA, and DMA and were also phenotypes for genetic analyses. Linear regression was performed for each phenotype, dependent on allele dosage of the variant. Models accounted for familial relatedness and were adjusted for age, sex, total arsenic levels, and population stratification. Single nucleotide polymorphism (SNP) associations were stratified by study site and were meta-analyzed. Bonferroni correction was used to account for multiple testing.

resultsVariants at 10q24 were statistically significant for all percent arsenic species and principal components of arsenic species. The index SNP for iAs%, MMA%, and DMA% (rs12768205) and for the principal components (rs3740394, rs3740393) were located near AS3MT, whose gene product catalyzes methylation of iAs to MMA and DMA. Among the candidate arsenic variant associations, functional SNPs in AS3MT and 10q24 were most significant (p < 9.33 × 10-5).

conclusionsThis hypothesis-driven association study supports the role of common variants in arsenic metabolism, particularly AS3MT and 10q24. Citation: Balakrishnan P, Vaidya D, Franceschini N, Voruganti VS, Gribble MO, Haack K, Laston S, Umans JG, Francesconi KA, Goessler W, North KE, Lee E, Yracheta J, Best LG, MacCluer JW, Kent J Jr., Cole SA, Navas-Acien A. 2017. Association of cardiometabolic genes with arsenic metabolism biomarkers in American Indian communities: the Strong Heart Family Study (SHFS). Environ Health Perspect 125:15-22; http://dx.doi.org/10.1289/EHP251.

Indexed as

ArsenicArsenicalsBiomarkersEnvironmental ExposureHeartHumansIndians, North AmericanArsenicArsenicalsBiomarkers

Identifiers

PMID27352405
PMCPMC5226702
OpenAlexW2474157279

What OpenQuestion holds

Textmetadata
LicenceCC0
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.