Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

Whether all obesity-related variants contribute to the onset of obesity or one or a few variants cause obesity in genetically heterogeneous populations remains obscure. Here, we investigated the genetic architecture of obesity by clustering the Japanese and British populations with obesity using obesity-related factors. In Step-1, we conducted a genome-wide association study (GWAS) with body mass index (BMI) as the outcome for eligible participants. In Step-2, we assigned participants with obesity (BMI ≥25 kg/m) to five clusters based on obesity-related factors. Subsequently, participants from each cluster and those with a BMI <25 kg/m were combined. A GWAS was conducted for each cluster. Several previously identified obesity-related genes were verified in Step-1. Of the genes detected in Step-1, unique obesity-related genes were detected separately for each cluster in Step-2. Our novel findings suggest that a smaller sample size with increased homogeneity may provide insights into the genetic architecture of obesity.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11379603PMC
http://dx.doi.org/10.1016/j.heliyon.2024.e36023DOI Listing

Publication Analysis

Top Keywords

genome-wide association
8
association study
8
genetic architecture
8
architecture obesity
8
obesity-related factors
8
obesity
6
study based
4
based clustering
4
obesity-related
4
clustering obesity-related
4

Similar Publications

Motivation: A genome-wide variant effect calibration method was recently developed under the guidelines of the American College of Medical Genetics and Genomics and the Association for Molecular Pathology (ACMG/AMP), following ClinGen recommendations for variant classification. While genome-wide approaches offer clinical utility, emerging evidence highlights the need for gene- and context-specific calibration to improve accuracy. Building on previous work, we have developed an algorithm tailored to converting functional scores from both multiplexed assays of variant effects (MAVEs) and computational variant effect predictors (VEPs) into ACMG/AMP evidence strengths.

View Article and Find Full Text PDF

Epinephelus tukula is an economically important aquaculture animal, and a major parent in grouper crossbreeding. To better preserve and exploit E. tukula germplasm resources, a core collection (containing 34 individuals derived from 10 genetic groups) was first constructed based on phenotypic growth traits and whole-genome resequencing (WGS) data.

View Article and Find Full Text PDF

Identification and prioritization of gene sets associated with schizophrenia risk by network analysis.

Psychopharmacology (Berl)

September 2025

Institute of Cardiovascular Research, Sleep Medical Center, Department of Psychiatry, Fundamental and Clinical Research on Mental Disorders Key Laboratory of Luzhou, Affiliated Hospital, Southwest Medical University, Luzhou, Sichuan Province, 646000, China.

Rationale: Genome-wide association studies (GWASs) are used to identify genetic variants for association with schizophrenia (SCZ) risk; however, each GWAS can only reveal a small fraction of this association.

Objectives: This study systematically analyzed multiple GWAS data sets to identify gene subnetwork and pathways associated with SCZ.

Methods: We identified gene subnetwork using dmGWAS program by combining SCZ GWASs and a human interaction network, performed gene-set analysis to test the association of gene subnetwork with clinical symptom scores and disease state, meanwhile, conducted spatiotemporal and tissue-specific expression patterns and cell-type-specific analysis of genes in the subnetwork.

View Article and Find Full Text PDF

Autism spectrum disorder (ASD) is a neurodevelopmental condition that is increasingly linked to immune dysfunction and neuroinflammation. Regulatory T cells (Tregs), which are crucial in maintaining immune homeostasis, have been implicated in the pathogenesis of ASD. However, their role in neuroimmune interactions and behavioral outcomes remains poorly understood.

View Article and Find Full Text PDF

Background And Aims: Several observational studies have reported inconsistent associations between dyslipidaemia, stains use and atopic dermatitis (AD). Nevertheless, the available data on the effects of -C-lowering as well as TG-lowering drugs remain inconclusive and limited. The aim of this study was to evaluate the causal association of lipid traits and long-term use of lipid-lowering drugs on AD risk.

View Article and Find Full Text PDF