Category Ranking
98%
Total Visits
921
Avg Visit Duration
2 minutes
Citations
20
Article Abstract
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.1038/s41576-025-00877-4 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Impact of genetic variants linked to liver fat and liver volume on MRI-mapped body composition.
JHEP Rep
September 2025
Molecular Epidemiology, Department of Medical Sciences, Uppsala University, Uppsala, Sweden.
Background & Aims: A quarter of the world population is estimated to have metabolic dysfunction-associated steatotic liver disease. Here, we aim to understand the impact of liver trait-associated genetic variants on fat content and tissue volume across organs and body compartments and on a large set of biomarkers.
Methods: Genome-wide association analyses were performed on liver fat and liver volume estimated with magnetic resonance imaging in up to 27,243 unrelated European participants from the UK Biobank.
Temporal analysis of physiological phenotypes identifies metabolic and genetic underpinnings of senescence in maize.
Plant Cell
August 2025
Department of Genetics and Biochemistry, Clemson University, Clemson, SC 29634, USA.
Delayed leaf senescence (staygreen) is an important agronomic trait associated with enhanced resilience to abiotic and biotic stresses and improved productivity. While senescence induces large-scale metabolomic changes, the characterization of metabolic shifts and the identification of key metabolites and pathways determining the staygreen trait remain limited. Here, we generated a temporal map of the physiological and metabolic variation in genetically diverse maize (Zea mays) inbred lines spanning the staygreen spectrum.
View Article and Find Full Text PDFMapping trait-associated cells with spatial transcriptomics.
Nat Rev Genet
July 2025
School of Life Sciences, Westlake University, Hangzhou, China.
Focus on single gene effects limits discovery and interpretation of complex trait-associated variants.
bioRxiv
June 2025
Department of Genetics, Stanford University School of Medicine, Stanford, California.
Standard QTL mapping approaches consider variant effects on a single gene at a time, despite abundant evidence for allelic pleiotropy, where a single variant can affect multiple genes simultaneously. While allelic pleiotropy describes variant effects on both local and distal genes or a mixture of molecular effects on a single gene, here we specifically investigate allelic expression "proxitropy": where a single variant influences the expression of multiple, neighboring genes. We introduce a multi-gene eQTL mapping framework--principal component expression QTL (-pc eQTL or pcQTL)-to identify variants associated with shared axes of expression variation across a cluster of neighboring genes.
View Article and Find Full Text PDFBenchmarking methods integrating GWAS and single-cell transcriptomic data for mapping trait-cell type associations.
medRxiv
June 2025
Institute for Molecular Bioscience, University of Queensland, Brisbane, QLD, Australia.
Genome-wide association studies (GWAS) have discovered numerous trait-associated variants, but their biological context remains unclear. Integrating GWAS summary statistics with single-cell RNA-sequencing expression profiles can help identify the cell types in which these variants influence traits. Two main strategies have been developed to integrate these data types.
View Article and Find Full Text PDF