Evidence map›Paper›PMID 23070617›Full record

ArticleEnvironmental health perspectives2013

Possible positive selection for an arsenic-protective haplotype in humans.

Carina M Schlebusch, Cecil M Lewis, Marie Vahter, Karin Engström, Raúl Y Tito, Alexandra J Obregón-Tito, Doris Huerta, Susan I Polo, Ángel C Medina, Tom D Brutsaert and 3 more

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Article in Environmental health perspectives, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.7field-weighted citation impact, top 13% of its field
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 53 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 8 institutions in 3 countries.

Carina M SchlebuschDepartment of Evolutionary Biology, Evolutionary Biology Centre, Uppsala University, Uppsala, Sweden.
Cecil M Lewis
Marie Vahter
Karin Engström
Raúl Y Tito
Alexandra J Obregón-Tito
Doris Huerta
Susan I Polo
Ángel C Medina
Tom D Brutsaert
Gabriela Concha
Mattias Jakobsson
Karin Broberg
University of Oklahoma · USLund University · SEUppsala University · SEKarolinska Institutet · SENational Food Administration · SENational University of San Marcos · PESyracuse University · USUniversidad Nacional del Altiplano · PE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundArsenic in drinking water causes severe health effects. Indigenous people in the South American Andes have likely lived with arsenic-contaminated drinking water for thousands of years. Inhabitants of San Antonio de los Cobres (SAC) in the Argentinean highlands generally carry an AS3MT (the major arsenic-metabolizing gene) haplotype associated with reduced health risks due to rapid arsenic excretion and lower urinary fraction of the monomethylated metabolite.

objectivesWe hypothesized an adaptation to high-arsenic living conditions via a possible positive selection for protective AS3MT variants and compared AS3MT haplotype frequencies among different indigenous groups.

methodsIndigenous groups we evaluated were a) inhabitants of SAC and villages near Salta in northern Argentina (n = 346), b) three Native American populations from the Human Genome Diversity Project (HGDP; n = 25), and c) five Peruvian populations (n = 97). The last two groups have presumably lower historical exposure to arsenic.

resultsWe found a significantly higher frequency of the protective AS3MT haplotype in the SAC population (68.7%) compared with the HGDP (14.3%, p < 0.001, Fisher exact test) and Peruvian (50.5%, p < 0.001) populations. Genome-wide microsatellite (n = 671) analysis showed no detectable level of population structure between SAC and Peruvian populations (measure of population differentiation FST = 0.006) and low levels of structure between SAC and HGDP populations (FST < 0.055 for all pairs of populations compared).

conclusionsBecause population stratification seems unlikely to explain the differences in AS3MT haplotype frequencies, our data raise the possibility that, during a few thousand years, natural selection for tolerance to the environmental stressor arsenic may have increased the frequency of protective variants of AS3MT. Further studies are needed to investigate this hypothesis.

Indexed as

ArgentinaArsenicArsenic PoisoningGene FrequencyHaplotypesHumansMethyltransferasesPolymorphism, Single NucleotideWater Pollutants, ChemicalArsenicAS3MT protein, humanMethyltransferasesWater Pollutants, Chemical

Identifiers

PMID23070617
PMCPMC3553437
OpenAlexW1718049194

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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.