The genes of OMIM: A legacy of Victor McKusick.

Am J Med Genet A

Department of Genetic Medicine, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.

Published: November 2021

Download full-text PDF

Source
http://dx.doi.org/10.1002/ajmg.a.62415DOI Listing

Publication Analysis

Top Keywords

genes omim
4
omim legacy
4
legacy victor
4
victor mckusick
4
genes
1
legacy
1
victor
1
mckusick
1

Similar Publications

Shuanghuanglian (SHL) and its primary constituents have demonstrated protective effects against allergenic diseases. This review examines the anaphylactic and anti-allergenic activities of SHL and its constituents. We also discuss potential avenues for future research, particularly regarding the expansion of the clinical applications of SHL formulations (oral or nebulized) for the treatment of allergenic disorders.

View Article and Find Full Text PDF

Shenlian (SL) decoction, a renowned traditional Chinese formula for diabetes mellitus, has also been employed to treat intestinal disorders. Previous studies have demonstrated the efficacy of SL decoction in regulating blood glucose and intestinal bacteria. Nevertheless, further analysis is required to elucidate the mechanistic link between SL decoction-mediated improvement of intestinal function and treatment of Type 2 diabetes mellitus (T2DM).

View Article and Find Full Text PDF

Utilizing network pharmacology and molecular docking, we evaluated the possible pharmacological mechanism of Danggui Sini Decoction (DGSND) for treating erectile dysfunction (ED). DGSND's chemical components and targets were found utilizing the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform (TCMSP). Disease-related genes associated with ED were identified through GeneCards, OMIM, TTD, DrugBank, and DisGeNET databases.

View Article and Find Full Text PDF

Identifying cancer prognosis genes through causal learning.

Brief Bioinform

November 2024

School of Artificial Intelligence, Jilin University, 3003 Qianjin Street, 130012 Changchun, China.

Accurate identification of causal genes for cancer prognosis is critical for estimating disease progression and guiding treatment interventions. In this study, we propose CPCG (Cancer Prognosis's Causal Gene), a two-stage framework identifying gene sets causally associated with patient prognosis across diverse cancer types using transcriptomic data. Initially, an ensemble approach models gene expression's impact on survival with parametric and semiparametric hazard models.

View Article and Find Full Text PDF

Background: Human kinesin family member 11 (KIF11) plays a vital role in regulating the cell cycle and is implicated in the tumorigenesis and progression of various cancers, but its role in endometrial cancer (EC) is still unclear. Our current research explored the prognostic value, biological function and targeting strategy of KIF11 in EC through approaches including bioinformatics, machine learning and experimental studies.

Methods: The GSE17025 dataset from the GEO database was analyzed via the limma package to identify differentially expressed genes (DEGs) in EC.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!