Results 131 to 140 of about 60,478 (247)
Personality disorders and cardiometabolic diseases: A Mendelian randomization study. [PDF]
Yang W, Yang Z, Xi J, Bian C, Cheng Z.
europepmc +1 more source
Targeting the microbiota‐miRNA‐protease axis: A new therapeutic avenue in melanoma
Modulation of extracellular matrix (ECM) turnover is central to melanoma progression and metastasis, driven largely by ECM proteases. This review highlights the epigenetic regulation of ECM proteases by microRNAs and their roles in melanoma growth, invasion, and immune modulation.
Elias N. Katsoulieris +2 more
wiley +1 more source
Retraction: Kidney damage on fertility and pregnancy: A Mendelian randomization. [PDF]
PLOS One Editors.
europepmc +1 more source
Investigating the causal effect of various metabolites on postherpetic neuralgia: a Mendelian randomization study [PDF]
Jiahao Zhu +5 more
openalex +1 more source
Genomic Prediction Ability for Novel Profitability Traits Using Different Models in Nelore Cattle
ABSTRACT The aim of this study was to assess the accuracy, bias and dispersion of genomic predictions for accumulated profitability (APF) and profit per kilogram of liveweight gain (PFT) in Nelore cattle using different prediction approaches. The dataset consisted of 3969 phenotypic records for each trait. The pedigree harboured information from 38,930
Letícia Silva Pereira +9 more
wiley +1 more source
Expectations for Mendelian randomization research in PLOS One. [PDF]
Pruller J, Mockridge J, Vousden G.
europepmc +1 more source
ABSTRACT In order to investigate the applicability and efficiency of genomic selection for growth and carcass traits in Nordic beef cattle, single‐step genomic BLUP (ssGBLUP) was applied in 4321 Charolais and 4532 Hereford animals with information on approximately 43,000 SNPs each.
Anahit Nazari‐Ghadikolaei +2 more
wiley +1 more source
Bidirectional causal relationships between IgA nephropathy and COVID-19: genetic evidence from Mendelian randomization [PDF]
Zhao‐Xing Gao +9 more
openalex +1 more source
ABSTRACT The aim of this study was to evaluate the impact of incorporating genomic information on the estimation of genetic (co)variance components and the accuracy of breeding values for milk yield under varying thermal environments, and to identify SNPs associated with genes that play significant roles in heat tolerance.
Gabriela Stefani +3 more
wiley +1 more source

