Evidence map›Paper›PMID 42181176›Full record

ArticleFrontiers in endocrinology2026

Ancestry-informative regulatory variants at KCNB1 modulate adipogenesis and body mass index.

Samantha Kuwada Teixeira, Caroline Pancera Laurindo, Fábio Takeo Sato, Luiz Fernando Goda Zuleta, Nubia E Duarte, Ana Vitória V Jensen, Samantha L G Paço, Alexandre C Pereira, Noboru Sakabe, Marcelo Nobrega and 1 more

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

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

11 authors.

Samantha Kuwada TeixeiraInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Caroline Pancera LaurindoInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Fábio Takeo SatoInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Luiz Fernando Goda ZuletaInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Nubia E DuarteInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Ana Vitória V JensenInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Samantha L G PaçoInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Alexandre C PereiraInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.
Noboru SakabeDepartment of Human Genetics, University of Chicago, Chicago, IL, United States.
Marcelo NobregaDepartment of Human Genetics, University of Chicago, Chicago, IL, United States.
Jose Eduardo KriegerInstituto do Coração, Hospital das Clínicas HCFMUSP, Faculdade de Medicina, Universidade de São Paulo, Sao Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Obesity and related metabolic disorders represent a major global health burden, yet their genetic determinants remain incompletely characterized, particularly in non-European populations. We aimed to identify body mass index (BMI)-associated loci in an admixed Brazilian population and to functionally characterize ancestry-enriched variants contributing to obesity risk. Methods: We conducted a genome-wide association study (GWAS) of BMI in 1,079 admixed Brazilian individuals. Significant and suggestive loci were evaluated using integrative analysis, including epigenomic annotation and chromatin conformation data. Regulatory activity was assessed using allele-specific luciferase reporter assays and electrophoretic mobility shift assays. The functional role of the prioritized gene was examined using pharmacological inhibition in human preadipocytes and genetic deletion in mice. Results: We identified three BMI-associated loci reaching genome-wide significance (p ≤ 5 × 10 Discussion: Our findings identify KCNB1 as a regulator of adipogenesis and body composition and highlight the importance of studying admixed populations to uncover ancestry-specific genetic mechanisms underlying obesity.

Indexed as

AdipogenesisBody Mass IndexObesityPolymorphism, Single NucleotideAdipocytesAdultAnimalsBrazilFemaleGenome-Wide Association StudyHumansMaleMiceMice, Knockoutadipogenesisadmixed populationancestry-specific variantsBMIbody compositionKCNB1obesity

Identifiers

PMID42181176
PMCPMC13189953

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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.