UCP3 gene variants and obesity in a Pakistani sample population

Obesity is a growing public health challenge with complex causes involving both environmental and genetic factors. This study explored the contribution of genetic variants in the UCP3 gene (implicated in energy metabolism) to obesity risk in a Pakistani population. Using a case-control design, 400 participants from Karachi (200 cases-individuals with obesity; 200 controls-individuals with normal body mass index or BMI) were assessed for sociodemographic, obesity-related physical signs, comorbidities, anthropometric, metabolic, and lifestyle factors, alongside next-generation sequencing of the UCP3 gene. Individuals with obesity (cases) were more frequently married, had a family history of obesity, and exhibited obesity-related physical signs compared to controls. All anthropometric (except height) and metabolic (except HDL-C) variables were significantly aberrant in cases. Similarly, behavioral patterns such as random eating, a tendency toward fat-dense food, low physical activity, and irregular sleep-wake cycles were more prevalent among cases. Genetic analysis revealed 43 variants after quality filtering, with most located in regulatory regions rather than altering protein structure. Three variants, including rs35517703, rs142107918, and rs928421426, were observed exclusively in the individuals with obesity (cases). Additionally, three novel variants [73712770 (GA > GAA), 73718482 (CTTT > CTT), and 73718482 (CTTT > CTTTT)] were identified that may reflect population-specific genetic diversity. By focusing on UCP3 variants with population relevance, this research provides new insights into the genetic architecture of obesity in Pakistanis or South Asians in general. It supports the value of regional genetics and genomics studies in global health contexts.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-09-26
DOI
https://doi.org/10.1038/s41598-025-18434-8
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

UCP3 gene variants and obesity in a Pakistani sample population

Adil Anwar Bhatti, Muhammad Irfan, Hina Nawaz, Sobia Rana et al.
Scientific Reports
Adipose Tissue and Metabolism
article

UCP3 gene variants and obesity in a Pakistani sample population

Adil Anwar Bhatti, Muhammad Irfan, Hina Nawaz, Sobia Rana, Maryam Khalid
article en

Abstract

Obesity is a growing public health challenge with complex causes involving both environmental and genetic factors. This study explored the contribution of genetic variants in the UCP3 gene (implicated in energy metabolism) to obesity risk in a Pakistani population. Using a case-control design, 400 participants from Karachi (200 cases-individuals with obesity; 200 controls-individuals with normal body mass index or BMI) were assessed for sociodemographic, obesity-related physical signs, comorbidities, anthropometric, metabolic, and lifestyle factors, alongside next-generation sequencing of the UCP3 gene. Individuals with obesity (cases) were more frequently married, had a family history of obesity, and exhibited obesity-related physical signs compared to controls. All anthropometric (except height) and metabolic (except HDL-C) variables were significantly aberrant in cases. Similarly, behavioral patterns such as random eating, a tendency toward fat-dense food, low physical activity, and irregular sleep-wake cycles were more prevalent among cases. Genetic analysis revealed 43 variants after quality filtering, with most located in regulatory regions rather than altering protein structure. Three variants, including rs35517703, rs142107918, and rs928421426, were observed exclusively in the individuals with obesity (cases). Additionally, three novel variants [73712770 (GA > GAA), 73718482 (CTTT > CTT), and 73718482 (CTTT > CTTTT)] were identified that may reflect population-specific genetic diversity. By focusing on UCP3 variants with population relevance, this research provides new insights into the genetic architecture of obesity in Pakistanis or South Asians in general. It supports the value of regional genetics and genomics studies in global health contexts.

Scientific ReportsVol. 15(1)
University of Karachi (PK), International Center for Chemical and Biological Sciences (PK)
University of Karachi, Directorate for Biological Sciences
Openalex Percentile: Top 67%
Adipose Tissue and Metabolism
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.