Evidence map›Paper›PMID 35560161›Full record

ArticleGenetics and molecular biology2022

Common BMI and diabetes-related genetic variants: A pilot study among indigenous people in the Brazilian Amazon.

Isabela Guerreiro Diniz, Rosilene Reis Della Noce, Ana Paula Pereira, Aylla Núbia Lima Martins da Silva, Eliene Rodrigues Putira Sacuena, Renan Barbosa Lemes, Greice de Lemos Cardoso-Costa, Gilderlânio Santana Araújo, Jéssica Lígia Picanço Machado, Fernanda Andreza de Pinho Lott Figueiredo and 2 more

Open access · goldAbstract read
In one paragraph

Article in Genetics and molecular biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.3field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Association of Genetic Variants ofInternational journal of endocrinology · 2026
    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

12 authors at 2 institutions in 1 country.

Isabela Guerreiro DinizUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0002-7827-6328
Rosilene Reis Della NoceUniversidade Federal do Pará, Instituto de Ciências da Saúde, Faculdade de Nutrição, Belém, PA, Brazil.ORCID http://orcid.org/0000-0002-5775-4861
Ana Paula PereiraUniversidade Federal do Pará, Instituto de Ciências da Saúde, Faculdade de Nutrição, Belém, PA, Brazil.ORCID http://orcid.org/0000-0001-9796-4743
Aylla Núbia Lima Martins da SilvaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0002-2299-3301
Eliene Rodrigues Putira SacuenaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0001-9836-8054
Renan Barbosa LemesUniversidade de São Paulo, Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil.ORCID http://orcid.org/0000-0002-5177-3105
Greice de Lemos Cardoso-CostaUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0002-8916-0283
Gilderlânio Santana AraújoUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0001-9199-9419
Jéssica Lígia Picanço MachadoUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0003-0870-1090
Fernanda Andreza de Pinho Lott FigueiredoUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0003-4321-073X
Tábita HümemeierUniversidade de São Paulo, Departamento de Genética e Biologia Evolutiva, São Paulo, SP, Brazil.
João Farias GuerreiroUniversidade Federal do Pará, Instituto de Ciências Biológicas, Laboratório de Genética Humana e Médica, Belém, PA, Brazil.ORCID http://orcid.org/0000-0003-1979-3656
Universidade Federal do Pará · BRUniversidade de São Paulo · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was carried out to investigate the frequency of genetic variants related to body mass index (BMI) and type 2 diabetes (T2D) and evaluating the potential impact of risk alleles on susceptibility to these disorders in six indigenous peoples from Brazilian Amazon region. The majority of Fst values for pairwise population comparisons among the indigenous groups are low or moderate. The indigenous people show high values of differentiation with Africans, Europeans and Southeast Asians and moderate values with East Asian and American populations, as expected. The allelic frequencies among indigenous indicate that the majority of associations observed with T2D in continental populations can be replicated in native Amazonians. The genetic risk scores calculated for T2D in indigenous are high and similar to those calculated for Americans and East Asians, while the estimates obtained for obesity are low, probably due to the low frequencies of the risk allele of the FTO gene found in our samples. ADRB3-rs4994 and ABCC8-rs1799854 genes showed a significant association with BMI and waist circumference, and the KCNJ11-rs5219 gene with hyperglycemia. These results emphasize the importance of knowing the genetic variability underlying complex genetic diseases in indigenous peoples and the search for particular or rare variants.

Identifiers

PMID35560161
PMCPMC9104643
OpenAlexW4285173574

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.