Results 71 to 80 of about 39,970,022 (174)

Integrating genome‐ and transcriptome‐wide association studies to uncover the host–microbiome interactions in bovine rumen methanogenesis

iMeta
The ruminal microbiota generates biogenic methane in ruminants. However, the role of host genetics in modifying ruminal microbiota‐mediated methane emissions remains mysterious, which has severely hindered the emission control of this notorious ...
Wei Wang, Zhenyu Wei, Zhuohui Li, Jianrong Ren, Yanliang Song, Jingyi Xu, Anguo Liu, Xinmei Li, Manman Li, Huimei Fan, Liangliang Jin, Zhannur Niyazbekova, Wen Wang, Yuanpeng Gao, Yu Jiang, Junhu Yao, Fuyong Li, Shengru Wu, Yu Wang   +18 more
doaj   +1 more source

Sodium Butyrate Attenuates Renal Fibrosis by Regulating Glycolysis and Histone H4K12 Lactylation in Diabetic Kidney Disease

Diabetes, Obesity and Metabolism, Volume 28, Issue 10, Page 9518-9534, October 2026.
ABSTRACT Background The role of histone lactylation in diabetes associated renal fibrosis remains poorly defined. In this study, we investigated the contribution of histone H4 lysine 12 lactylation (H4K12la) to abnormal glycolysis and renal fibrogenesis in diabetic kidney disease (DKD) and evaluated sodium butyrate (NaB) as a potential therapeutic ...
Ping He, Mingxiu Wang, Hang Mei, Yue Liu, Min Wang, He Sun, Yali Peng, Xuan Ban, Yue Wang, Xiaofang Tang, Qiuling Fan   +10 more
wiley   +1 more source

Power analysis of transcriptome-wide association study: Implications for practical protocol choice.

PLoS Genetics, 2021
The transcriptome-wide association study (TWAS) has emerged as one of several promising techniques for integrating multi-scale 'omics' data into traditional genome-wide association studies (GWAS).
Chen Cao, Bowei Ding, Qing Li, Devin Kwok, Jingjing Wu, Quan Long   +5 more
doaj   +1 more source

A microRNA Transcriptome-wide Association Study of Prostate Cancer Risk

Frontiers in Genetics, 2022
Large genome-wide association studies have identified hundreds of single-nucleotide polymorphisms associated with increased risk of prostate cancer (PrCa), and many of these risk loci is presumed to confer regulatory effects on gene expression.
Nicholas B. Larson, Shannon K. McDonnell, Zachary Fogarty, Yuanhang Liu, Amy J. French, Lori S. Tillmans, John C. Cheville, Liang Wang, Daniel J. Schaid, Stephen N. Thibodeau   +9 more
doaj   +1 more source

Livestock Multi‐Omics Integration: A Systematic Framework From Statistical Association to Causal Interpretation

Advanced Science, Volume 13, Issue 50, 7 September 2026.
A three‐tier livestock multi‐omics framework resolves four typical analytical pitfalls. Moving from statistical association through machine learning preprocessing to triple‐modal causal inference, it converts omics results into genomic selection and gene editing strategies to achieve One Health, underpinned by multi‐omics data, multimodal sequencing ...
Jiying Wen, Zhongyu Wang, Jieping Huang, Fen Li, Ningbo Chen, Yun Ma   +5 more
wiley   +1 more source

Bayesian genome-wide TWAS with reference transcriptomic data of brain and blood tissues identified 141 risk genes for Alzheimer’s disease dementia

Alzheimer’s Research & Therapy
Background Transcriptome-wide association study (TWAS) is an influential tool for identifying genes associated with complex diseases whose genetic effects are likely mediated through transcriptome.
Shuyi Guo, Jingjing Yang
doaj   +1 more source

SR-TWAS: leveraging multiple reference panels to improve transcriptome-wide association study power by ensemble machine learning

Nature Communications
Multiple reference panels of a given tissue or multiple tissues often exist, and multiple regression methods could be used for training gene expression imputation models for transcriptome-wide association studies (TWAS). To leverage expression imputation models (i.e., base models) trained with multiple reference panels, regression methods, and tissues,
Randy L. Parrish, Aron S. Buchman, Shinya Tasaki, Yanling Wang, Denis Avey, Jishu Xu, Philip L. De Jager, David A. Bennett, Michael P. Epstein, Jingjing Yang   +9 more
openaire   +3 more sources

Cellular transcriptomic signatures underpinning the heterogeneity of depression in Alzheimer's disease

Alzheimer's &Dementia, Volume 22, Issue 9, September 2026.
Abstract INTRODUCTION Late‐onset Alzheimer's disease (LOAD) and major depressive disorder (MDD) share genetic etiologies. Here, we investigated brain transcriptomic landscapes to gain insights into shared and divergent molecular and biological etiologies across LOAD and MDD.
Michael W. Lutz, Zhaohui Man, Ornit Chiba‐Falek   +2 more
wiley   +1 more source

A uterine‐centric view of reproductive senescence: Genetic insights into late‐life performance in laying hens

iMetaOmics, Volume 3, Issue 3, September 2026.
This study identifies uterus weight as a heritable (h2 = 0.45) intermediate phenotype that independently associates with late‐life egg production and eggshell quality in aged laying hens. Genome‐wide association study (GWAS) reveals a genome‐wide significant locus on chromosome 3 and suggestive loci on chromosome 11 for uterus weight, mediation ...
Junnan Zhang, Mingyue Gao, Ronglang Cai, Xinwei Jiang, Boxuan Zhang, Zhaojie Li, Ning Yang, Congjiao Sun   +7 more
wiley   +1 more source

Beyond the Classics: The Synergy of AI and Genomics Reveals an Expanded Repertoire of Pigmentation Genes

Journal of Experimental Zoology Part B: Molecular and Developmental Evolution, Volume 346, Issue 6, Page 475-486, September 2026.
Classical approaches for coloration analysis are limited by human low‐resolution phenotyping and genetic analysis. Artificial intelligence allows us to find genes beyond the tip of the iceberg that explain color and pattern diversity in nature. ABSTRACT Pigmentation has long served as a powerful system for exploring gene–trait relationships, yet much ...
Ehsan Pashay Ahi, Nidal Karagic
wiley   +1 more source