Evidence map›Paper›PMID 25768001›Full record

ArticleEnvironmental health perspectives2015

The Genetic Architecture of Arsenic Metabolism Efficiency:A SNP-Based Heritability Study of Bangladeshi Adults.

Jianjun Gao, Lin Tong, Maria Argos, Molly Scannell Bryan, Alauddin Ahmed, Muhammad Rakibuz-Zaman, Muhammad G Kibriya, Farzana Jasmine, Vesna Slavkovich, Joseph H Graziano and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Environmental health perspectives, 2015. 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
3.2field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Update of the risk assessment of inorganic arsenic in food.EFSA journal. European Food Safety Authority · 2024
    Article
  3. Genetics and Epigenetics of Manganese Toxicity.Current environmental health reports · 2022
    Review
  4. Review
  5. Rare, Protein-Altering Variants inEnvironmental health perspectives · 2021
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Determinants and Consequences of Arsenic Metabolism Efficiency among 4,794 Individuals: Demographics, Lifestyle, Genetics, and Toxicity.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2016
    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

12 authors at 4 institutions in 2 countries.

Jianjun GaoDepartment of Public Health Sciences, The University of Chicago, Chicago, Illinois, USA.
Lin Tong
Maria Argos
Molly Scannell Bryan
Alauddin Ahmed
Muhammad Rakibuz-Zaman
Muhammad G Kibriya
Farzana Jasmine
Vesna Slavkovich
Joseph H Graziano
Habibul Ahsan
Brandon L Pierce
University of Chicago · USColumbia University · USUniversity of Chicago Research Bangladesh · BDCancer Research And Biostatistics · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI MARK W. LINGEN · 1985 to 2026
$122.1M
Training CoreP42ES010349 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI NAVAS-ACIEN, ANA · 2000 to 2020
$53.6M
True Metal fac coreP30ES009089 · NIEHS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI MATTHEW S PERZANOWSKI · 1998 to 2026
$44.7M
Re-Engineering Translational Research at the University of ChicagoUL1TR000430 · NCATS · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2012 to 2016
$20.2M
Chemoprevention of arsenic-induced skin cancerR01CA107431 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2005 to 2014
$17.3M
Genetic Susceptibility to Arsenic-induced Skin CancerR01CA102484 · NCI · UNIVERSITY OF CHICAGO · PI AHSAN, HABIBUL · 2004 to 2008
$2.0M
A Study of Telomeres in an Arsenic-Exposed Bangladesh CohortR01ES020506 · NIEHS · UNIVERSITY OF CHICAGO · PI PIERCE, BRANDON LEE · 2011 to 2015
$1.9M
NCATS NIH HHS UL1 TR000430NCI NIH HHS P30 CA014599NCI NIH HHS P30CA014599NCI NIH HHS R01 CA102484NCI NIH HHS R01CA102484NCI NIH HHS R01 CA107431NCI NIH HHS R01CA107431NIEHS NIH HHS P30 ES009089NIEHS NIH HHS P42 ES010349NIEHS NIH HHS P42ES010349NIEHS NIH HHS R01 ES020506NIEHS NIH HHS R01ES020506
6 · The paper itself

Abstract

backgroundConsumption of arsenic-contaminated drinking water adversely affects health. There is interindividual variation in arsenic metabolism efficiency, partially due to genetic variation in the arsenic methyltransferase (AS3MT) gene region.

objectivesThe goal of this study was to assess the overall contribution of genetic factors to variation in arsenic metabolism efficiency, as measured by the relative concentration of dimethylarsinic acid (DMA%) in urine.

methodsUsing data on genome-wide single nucleotide polymorphisms (SNPs) and urinary DMA% for 2,053 arsenic-exposed Bangladeshi individuals, we employed various SNP-based approaches for heritability estimation and polygenic modeling.

resultsUsing data on all participants, the percent variance explained (PVE) for DMA% by all measured and imputed SNPs was 16% (p = 0.08), which was reduced to 5% (p = 0.34) after adjusting for AS3MT SNPs. Using information on close relatives only, the PVE was 63% (p = 0.0002), but decreased to 41% (p = 0.01) after adjusting for AS3MT SNPs. Regional heritability analysis confirmed 10q24.32 (AS3MT) as a major arsenic metabolism locus (PVE = 7%, p = 4.4 × 10(-10)), but revealed no additional regions. We observed a moderate association between a polygenic score reflecting elevated DMA% (composed of thousands of non-AS3MT SNPs) and reduced skin lesion risk in an independent sample (p < 0.05). We observed no associations for SNPs reported in prior candidate gene studies of arsenic metabolism.

conclusionsOur results suggest that there are common variants outside of the AS3MT region that influence arsenic metabolism in Bangladeshi individuals, but the effects of these variants are very weak compared with variants near AS3MT. The high heritability estimates observed using family-based heritability approaches suggest substantial effects for rare variants and/or unmeasured environmental factors.

Indexed as

Multifactorial InheritancePolymorphism, Single NucleotideAdolescentAdultAgedArsenicBangladeshCacodylic AcidFemaleHumansLongitudinal StudiesMaleMethylationMiddle AgedProspective StudiesSkin DiseasesArsenicCacodylic Acid

Identifiers

PMID25768001
PMCPMC4590755
OpenAlexW1966840431

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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.