Results 81 to 90 of about 39,970,022 (174)

XingyiGuo/transTF-TWAS: TransTF-TWAS

<p>Transcriptome-wide association studies (TWAS) have been successful in identifying disease susceptibility genes by integrating cis-variants predicted gene expression with genome-wide association studies (GWAS) data, while trans-located variants ...
Guo Lab at VUMC
core   +1 more source

Integrative Analysis of Transcriptome-Wide Association Study and mRNA Expression Profiles Identifies Candidate Genes Associated With Idiopathic Pulmonary Fibrosis

Frontiers in Genetics, 2020
Idiopathic pulmonary fibrosis (IPF) is a type of scarring lung disease characterized by a chronic, progressive, and irreversible decline in lung function. The genetic basis of IPF remains elusive.
Weiming Gong, Ping Guo, Lu Liu, Qingbo Guan, Qingbo Guan, Qingbo Guan, Zhongshang Yuan   +6 more
doaj   +1 more source

Integrative Analysis Uncover the Effects and Multi‐Omics Features of Thigh Muscle Fat Infiltration

Aging Cell, Volume 25, Issue 9, September 2026.
Thigh muscle fat infiltration (TMFI), estimated from MRI, is associated with increased mortality and diseases affecting multiple organ systems and mediates the effects of lifestyle factors on health. Multi‐omics analyses delineate the genetic, cellular, transcriptional, proteomic, and metabolic architecture of TMFI.
Yiwei Zhang, Qin Dang, Xizeng Zong, Haowei Chen, Simin Wen, Siqi Xu, Kunyan Wang, Xiaoshuai Wang, Jianwei Zhu, Zhaohua Zhu, Changhai Ding, Guangfeng Ruan, Yan Zhang   +12 more
wiley   +1 more source

Population-Matched Transcriptome Prediction Increases Discovery and Replication Rate in TWAS [PDF]

, 2021
Most genome-wide and transcriptome-wide association studies (GWAS, TWAS) focus on European populations; however, these results cannot always be accurately applied to non-European populations due to differences in genetic architecture.
Geoffroy, Elyse
core   +1 more source

Transcriptome-wide association study of cardiovascular outcomes in chronic kidney disease: The chronic renal insufficiency cohort

HGG Advances
Summary: Transcriptome-wide association studies (TWASs) are powerful for identifying gene-trait associations by integrating gene expression and genome-wide association data, but findings may be impacted by the choice of gene expression reference.
Bridget M. Lin, Jia Wen, Andrea R.V.R. Horimoto, Lingbo Zhou, Shuai Huang, Mirela Dobre, Alan S. Go, Yun Li, Nora Franceschini, Amanda H. Anderson, Lawrence J. Appel, Jing Chen, Debbie L. Cohen, Laura M. Dember, Alan S. Go, James P. Lash, Mahboob Rahman, Panduranga S. Rao, Vallabh O. Shah, Mark L. Unruh   +19 more
doaj   +1 more source

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults.

PLoS Genetics, 2021
As a type of relatively new methodology, the transcriptome-wide association study (TWAS) has gained interest due to capacity for gene-level association testing.
Binglan Li, Yogasudha Veturi, Anurag Verma, Yuki Bradford, Eric S Daar, Roy M Gulick, Sharon A Riddler, Gregory K Robbins, Jeffrey L Lennox, David W Haas, Marylyn D Ritchie   +10 more
doaj   +1 more source

Environmental Association Analyses in Plants and the Influence of Methodological Decisions

Molecular Ecology, Volume 35, Issue 16, August 2026.
ABSTRACT Climate change is predicted to impact existing ecological systems, leading to a requirement to improve our understanding of environmental adaptation in plants, particularly for conservation and the development of environmentally tolerant crop varieties.
James A. Bedford, Mark A. Carine, Mark A. Chapman   +2 more
wiley   +1 more source

Biology‐informed neural networks learn nonlinear representations from omics data to improve genomic prediction and biological discovery

The Plant Journal, Volume 127, Issue 3, August 2026.
SUMMARY Traditional genotype‐to‐phenotype models depend heavily on direct mappings that achieve only modest accuracy, forcing breeders to conduct large, costly field trials to maintain or marginally improve genetic gain. Models that incorporate intermediate molecular phenotypes can achieve higher predictive fit, but remain impractical since such data ...
Katiana Kontolati, Rini Jasmine Gladstone, Ian W. Davis, Ethan M. Pickering   +3 more
wiley   +1 more source

Genetic architecture of the limbic white matter microstructure in aging and Alzheimer's Disease

Alzheimer's &Dementia, Volume 22, Issue 7, July 2026.
Abstract INTRODUCTION Limbic white matter (WM) abnormalities are prevalent in aging and Alzheimer's disease (AD), but genetic drivers are unclear. METHODS In 2614 older adults (mean age ± SD: 73.7 ± 9.8 years; 26% cognitively impaired) from seven harmonized cohorts enriched for cognitive impairment, we quantified free‐water–corrected diffusion MRI ...
Anna S Lorenz, Aditi Sathe, Yisu Yang, Alaina Durant, Yiyang Wu, Michael E. Kim, Chenyu Gao, Nancy R. Newlin, Karthik Ramadass, Praitayini Kanakaraj, Nazirah Mohd Khairi, Zhiyuan Li, Tianyuan Yao, Yuankai Huo, Logan Dumitrescu, Niranjana Shashikumar, Kimberly R. Pechman, Shannon L. Risacher, Lori L. Beason‐Held, Yang An, Konstantinos Arfanakis, Guray Erus, Christos Davatzikos, Mohamad Habes, Di Wang, Duygu Tosun, Arthur W. Toga, Paul M. Thompson, Elizabeth C. Mormino, Panpan Zhang, Kurt Schilling, Marilyn Albert, Walter Kukull, Sarah A. Biber, Bennett A. Landman, Sterling C. Johnson, Barbara Bendlin, Julie Schneider, David A. Bennett, Angela L. Jefferson, Susan M. Resnick, Andrew J. Saykin, Jennifer E. Below, Timothy J. Hohman, Derek B. Archer, Alzheimer's Disease Neuroimaging Initiative (ADNI), The BIOCARD Study Team (BIOCARD), The Alzheimer's Disease Sequencing Project (ADSP)   +47 more
wiley   +1 more source

Multi‐Trait Genetic Insights Into Schizophrenia Across Ancestries: Genome‐Wide Association Meta‐Analyses, Machine Learning, and Drug Repurposing Study

Brain and Behavior, Volume 16, Issue 7, July 2026.
ABSTRACT Background Schizophrenia is a psychiatric disorder characterized by a wide range of symptoms and a complex interplay between genetic and environmental factors. Despite advances in genomics, the genetic underpinnings of SC and its relationship with drug use remain poorly understood.
Ping Yan, Haili Wang, Ye Shu, Rui Xie, Ainiwaner Reyidan, Songnian Fu   +5 more
wiley   +1 more source