Results 141 to 150 of about 41,900,780 (178)

Transcriptome and plasma proteome analyses identify susceptibility genes and proteins for alcohol-related hepatocellular carcinoma. [PDF]

Hum Genomics
Li Z, Liu M, Li J, Li W, Min T, Pan R, Wang W, Chen Z, Li W, Huang R.   +9 more
europepmc   +1 more source

Genomic structural equation modeling reveals novel genetic loci and pathways in panvascular disease. [PDF]

Medicine (Baltimore)
Gao L, Jin B, Mei K, Zhang X.
europepmc   +1 more source

Transcriptomic signatures of early- versus late-diagnosed ADHD and implications for treatment heterogeneity. [PDF]

Discov Ment Health
Cheung N.
europepmc   +1 more source

Integrative statistical genetics prioritizes candidate ASCVD susceptibility genes across tissues. [PDF]

Mol Med
Liu Q, Han X, Hu YQ, Fu L.
europepmc   +1 more source

Integrative cross-tissue transcriptome-wide association and metabolomic analysis reveals novel genetic risk loci for aortic aneurysm. [PDF]

Front Nutr
Wang H, Cheng J, Yao J, Jin W, Li W.
europepmc   +1 more source

Multivariate genetic architecture of age-related eye disease. [PDF]

PLoS One
Gao L, Wang Q, Zhu C.
europepmc   +1 more source

Integrative Multivariate Genomics Identifies Shared Epithelial-Immune and Cytokine-Regulatory Mechanisms Across Major Chronic Lung Diseases. [PDF]

Int J Mol Sci
Liao CC, Liao KR, Li JM.
europepmc   +1 more source

Shared Genetic Architecture of Premenstrual Disorder and Postpartum Depression: Registry-Based and Genetic Evidence

Qu S, Hu K, Guintivano J, Hysaj E, Jaholkowski P, Shadrin AA, Nevriana A, Keijser R, Lu Y, Meijsen J, Tang B, Valdimarsdóttir UA, Skalkidou A, Rudzinskas SA, Laisk T, Goldman D, Schmidt PJ, Andreassen OA, Lu D.   +18 more
europepmc   +1 more source

Editorial: Advances in livestock genetics: enhancing breeding practices and improving animal health. [PDF]

Front Genet
Wilson CS, Cesar ASM, Rezende FM.
europepmc   +1 more source

Multi-omics mapping of PSC genetic risk to a high TWAS-active JAML+ lipid-associated macrophage program: bridging single-cell heterogeneity, spatial fibrotic niches, and machine learning selection. [PDF]

Front Cell Dev Biol
Du Z, Xu Z, Yang C, Zhang Y, Jiang Q, Wang X.   +5 more
europepmc   +1 more source