Genetic etiology and clinical features of non-syndromic pediatric obesity in the Chinese population: a large cohort study

Our findings highlight the genetic heterogeneity of non-syndromic pediatric obesity and identify UCP3 and MC4R as potential hotspot genes in the Chinese population. The study underscores the potential of genetic testing for early diagnosis and personalized management of pediatric obesity.

Authors

Institutions

Publication Details

Journal
BMC Pediatrics
Published
2025-05-07
DOI
https://doi.org/10.1186/s12887-025-05702-9
Primary Topic
Obesity, Physical Activity, Diet
Type
article
Field-Weighted Citation Impact
0.00

Funders

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

Genetic etiology and clinical features of non-syndromic pediatric obesity in the Chinese population: a large cohort study

Yang Li, Yu Yang, Dongguang Zhang, Hui Huang et al.
BMC Pediatrics
Obesity, Physical Activity, Diet
article

Genetic etiology and clinical features of non-syndromic pediatric obesity in the Chinese population: a large cohort study

Yang Li, Yu Yang, Dongguang Zhang, Hui Huang, Liang Yiwei, Xie Liling
article en

Abstract

Our findings highlight the genetic heterogeneity of non-syndromic pediatric obesity and identify UCP3 and MC4R as potential hotspot genes in the Chinese population. The study underscores the potential of genetic testing for early diagnosis and personalized management of pediatric obesity.

BMC PediatricsVol. 25(1)
Nanchang University (CN)
Health Commission of Jiangxi Province
Zero hunger
Openalex Percentile: Top 87%
Obesity, Physical Activity, Diet
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.