Results 141 to 150 of about 46,677 (295)
Genetic Determinants of Fatty Acid Composition in Subcutaneous and Visceral Adipose Tissue
Obesity, Volume 33, Issue 12, Page 2406-2415, December 2025.ABSTRACT Objective Fatty acids in adipose tissue are key structural and metabolic regulators of cardiometabolic health, but the genetic architecture governing depot‐specific composition in subcutaneous (SAT) and visceral adipose tissue (VAT) is not well defined.
Altayeb Ahmed +8 more
wiley +1 more source
Shared Genetic Links Between Birth Weight and Developmental‐Behavioral Disorders
Genes, Brain and Behavior, Volume 24, Issue 6, December 2025.These findings support a shared genetic structure between developmental–behavioral disorders and birth weight. The findings also shed light on the pleiotropy between birth weight and developmental–behavioral disorders. ABSTRACT While observational studies have linked birth weight to developmental‐behavioral disorders, establishing genetic correlations ...
Rongyue Sun +4 more
wiley +1 more source
Allele-specific NKX2-5 binding underlies multiple genetic associations with human electrocardiographic traits. [PDF]
, 2019 The cardiac transcription factor (TF) gene NKX2-5 has been associated with electrocardiographic (EKG) traits through genome-wide association studies (GWASs), but the extent to which differential binding of NKX2-5 at common regulatory variants contributes
Benaglio, Paola +17 more
core
The Impact of Complement Factor H‐Related Protein Gene Deletions on Kidney Transplantation
Scandinavian Journal of Immunology, Volume 102, Issue 6, December 2025.In this study, we found that rs7542235 allele G tags a deletion of the CFHR1 gene. We also found that rs6677604 allele A tags a deletion of the whole CFHR3–1 locus. The plasma proteomics studies show that both variants are associated with an altered expression of FH/FHR proteins thus revealing a novel level of intricate regulation of the complement ...
Markkinen Salla +6 more
wiley +1 more source
Joint variable selection and network modeling for detecting eQTLs [PDF]
, 2020 Xuan Cao, Lili Ding, Tesfaye B. Mersha
openalex +1 more source
From omics to AI—mapping the pathogenic pathways in type 2 diabetes
FEBS Letters, Volume 599, Issue 22, Page 3244-3280, November 2025.Integrating multi‐omics data with AI‐based modelling (unsupervised and supervised machine learning) identify optimal patient clusters, informing AI‐driven accurate risk stratification. Digital twins simulate individual trajectories in real time, guiding precision medicine by matching patients to targeted therapies.
Siobhán O'Sullivan +2 more
wiley +1 more source
Current trends in single‐cell RNA sequencing applications in diabetes mellitus
FEBS Open Bio, Volume 15, Issue 11, Page 1738-1761, November 2025.Single‐cell RNA sequencing is a powerful approach to decipher the cellular and molecular landscape at a single‐cell resolution. The rapid development of this technology has led to a wide range of applications, including the detection of cellular and molecular mechanisms and the identification and introduction of novel potential diagnostic and ...
Seyed Sajjad Zadian +6 more
wiley +1 more source