Descriptive analysis of MC4R gene variants associated with obesity listed on ClinVar

Further analysis of the relationships between monogenic obesity and diabetes requires additional investigation to discover the underlying causes of these conditions. The study findings imply that mutations in MC4R's topological and transmembrane regions may significantly influence receptor activation and signaling. As more MC4R variants are discovered and their correlation with obesity is established, there is potential to definitively establish a strong connection between MC4R pathogenic variants and the development of obesity.

Authors

Institutions

Publication Details

Journal
Science Progress
Published
2024-10-01
DOI
https://doi.org/10.1177/00368504241297197
Citations
1
Primary Topic
Adipose Tissue and Metabolism
Type
article
Field-Weighted Citation Impact
0.33

Funders

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

Descriptive analysis of MC4R gene variants associated with obesity listed on ClinVar

Jeane Silva, Z Karim, Giti Bayhaghi
1 citations
Science Progress
Adipose Tissue and Metabolism
0.33
article

Descriptive analysis of MC4R gene variants associated with obesity listed on ClinVar

Jeane Silva, Z Karim, Giti Bayhaghi
article en
1 citations

Abstract

Further analysis of the relationships between monogenic obesity and diabetes requires additional investigation to discover the underlying causes of these conditions. The study findings imply that mutations in MC4R's topological and transmembrane regions may significantly influence receptor activation and signaling. As more MC4R variants are discovered and their correlation with obesity is established, there is potential to definitively establish a strong connection between MC4R pathogenic variants and the development of obesity.

Science ProgressVol. 107(4)
Augusta University (US), Augusta University Health (US)
Augusta University
Openalex Percentile: Top 36%
Adipose Tissue and Metabolism
0.33
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.