Evidence map›Paper›PMID 29854914›Full record

ArticleSSM - population health2018

Biogeographical ancestry is associated with socioenvironmental conditions and infections in a Latin American urban population.

Thiago Magalhães da Silva, Rosemeire L Fiaccone, Fernanda S G Kehdy, Eduardo Tarazona-Santos, Laura C Rodrigues, Gustavo N O Costa, Camila A Figueiredo, Neuza Maria Alcantara-Neves, Maurício L Barreto

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in SSM - population health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.4field-weighted citation impact, top 44% 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

0 citing papers in PubMed, 4 citations in OpenAlex.

No citing paper in PubMed yet.

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

9 authors at 4 institutions in 2 countries.

Thiago Magalhães da SilvaInstitute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Rosemeire L FiacconeDepartamento de Estatística, Instituto de Matemática, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Fernanda S G KehdyLaboratório de Hanseníase, Instituto Oswaldo Cruz, Fundação Oswaldo Cruz, Rio de Janeiro, Brazil.
Eduardo Tarazona-SantosDepartamento de Biologia Geral, Instituto de Ciências Biológicas, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil.
Laura C RodriguesDepartment of Infectious Disease Epidemiology, Faculty of Epidemiology, London School of Hygiene and Tropical Medicine, London, United Kingdom.
Gustavo N O CostaInstitute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Camila A FigueiredoInstituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Neuza Maria Alcantara-NevesInstituto de Ciências da Saúde, Universidade Federal da Bahia, Salvador, Bahia, Brazil.
Maurício L BarretoInstitute of Collective Health, Federal University of Bahia, Salvador, Bahia, Brazil.
Universidade Federal da Bahia · BRFundação Oswaldo Cruz · BRLondon School of Hygiene & Tropical Medicine · GBUniversidade Federal de Minas Gerais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Racial inequalities are observed for different diseases and are mainly caused by differences in socioeconomic status between ethnoracial groups. Genetic factors have also been implicated, and recently, several studies have investigated the association between biogeographical ancestry (BGA) and complex diseases. However, the role of BGA as a proxy for non-genetic health determinants has been little investigated. Similarly, studies comparing the association of BGA and self-reported skin colour with these determinants are scarce. Here, we report the association of BGA and self-reported skin colour with socioenvironmental conditions and infections. We studied 1246 children living in a Brazilian urban poor area. The BGA was estimated using 370,539 genome-wide autosomal markers. Standardised questionnaires were administered to the children's guardians to evaluate socioenvironmental conditions. Infection (or pathogen exposure) was defined by the presence of positive serologic test results for IgG to seven pathogens (T

Indexed as

Biogeographical ancestryInfectionsRacial inequalitiesSocioeconomic status

Identifiers

PMID29854914
PMCPMC5976841
OpenAlexW2792387980

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.