Evidence mapPaperPMID 42397967Full record

ArticleGenetics and molecular biology2026

Obesity in young adults: The differentiated impact of LEP, LEPR, and FTO gene variants.

Leandro da Rocha Lima, Roberta Luisa Barbosa Leal, Marcos Vinícius Guimarães Soares, Gabriela Eduardo França de Araujo, Ana Beatriz Martins Topciu Fonseca, Alessandra Dos Santos Ribeiro, Beatriz de Abreu Lopes de Azevedo, Marcelo Ribeiro-Alves, Kenia Balbi El-Jaick

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Article in Genetics and molecular biology, 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Leandro da Rocha LimaUniversidade Federal do Estado do Rio de Janeiro, Programa de Pós-Graduação em Biologia Molecular e Celular, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-7554-0365
Roberta Luisa Barbosa LealUniversidade Federal do Estado do Rio de Janeiro, Programa de Pós-Graduação em Biologia Molecular e Celular, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-3916-8305
Marcos Vinícius Guimarães SoaresUniversidade Federal do Estado do Rio de Janeiro, Programa de Pós-Graduação em Biologia Molecular e Celular, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-2462-4702
Gabriela Eduardo França de AraujoUniversidade Federal do Estado do Rio de Janeiro, Programa de Pós-Graduação em Biologia Molecular e Celular, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0001-8439-8551
Ana Beatriz Martins Topciu FonsecaUniversidade Federal do Estado do Rio de Janeiro, Escola de Nutrição, Rio de Janeiro, RJ, Brazil.
Alessandra Dos Santos RibeiroUniversidade Federal do Estado do Rio de Janeiro, Escola de Nutrição, Rio de Janeiro, RJ, Brazil.
Beatriz de Abreu Lopes de AzevedoUniversidade Federal do Estado do Rio de Janeiro, Escola de Nutrição, Rio de Janeiro, RJ, Brazil.
Marcelo Ribeiro-AlvesFundação Oswaldo Cruz, Instituto Nacional de Infectologia Evandro Chagas, Laboratório de Pesquisa Clínica em IST-AIDS, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-8663-3364
Kenia Balbi El-JaickUniversidade Federal do Estado do Rio de Janeiro, Programa de Pós-Graduação em Biologia Molecular e Celular, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-3316-9323

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obesity is a global public health issue, increasingly affecting young adults. Its association with other diseases highlights the urgency of developing prevention strategies. Genetic factors play a significant role in susceptibility to obesity, making the identification of risk-associated variants essential for prevention strategies. Therefore, this study aimed to analyze LEP, LEPR, and FTO variants as potential genetic risk factors for obesity in Brazilians aged 18-35 years. The participants were classified with, or without obesity/overweight. Genotyping was performed by ASO-PCR, RFLP, and DNA sequencing. A questionnaire was applied to collect anthropometric data, and personal and family medical history. Preliminary analyses indicated that obesity was significantly associated with individuals over 25 years of age; therefore, to specifically investigate early-onset obesity, the primary genetic association analyses were restricted to the 18-25 age group. A significant association was found between the LEP rs7799039 variant and BMI ≥ 25 Kg/m², and LEP rs17151919 was strongly associated with BMI ≥ 30 Kg/m² in this age group. These findings underscore the importance of identifying genetic variants that increase the risk of obesity in young adults and suggest contributing to the development of more effective and personalized prevention strategies, integrating knowledge from genetics, medicine, and nutrition.

Identifiers

PMID42397967
PMCPMC13331066

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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 Socratic graph.