Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Multi-Omics Analysis Revealed the rSNPs Potentially Involved in T2DM Pathogenic Mechanism and Metformin Response.

International journal of molecular sciences - 27 Aug 2024

Damarov Igor S, Korbolina Elena E, Rykova Elena Y, Merkulova Tatiana I

Abstract excerpt

The goal of our study was to identify and assess the functionally significant SNPs with potentially important roles in the development of type 2 diabetes mellitus (T2DM) and/or their effect on individual response to antihyperglycemic medication with metformin. We applied a bioinformatics approach to identify the regulatory SNPs (rSNPs) associated with allele-asymmetric binding and expression events in our paired...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Computational Biology
Share to Diabetes Mellitus, Type 2

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Regulation

Share to Hypoglycemic Agents

Share to Leukocytes, Mononuclear

Share to Metformin

Share to Multiomics

Share to Quantitative Trait Loci

Source

Open in PubMed Open full text

Identifiers

PMID: 39273245
DOI: 10.3390/ijms25179297
PMCID: PMC11394919

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Multi-Omics Analysis Revealed the rSNPs Potentially Involved in T2DM Pathogenic Mechanism and Metformin Response.PMID 39273245Read ↗

Functional mechanisms for type 2 diabetes-associated genetic variants.Semantic proximity Read ↗

Implications of genetic variations, differential gene expression, and allele-specific expression on metformin response in drug-naïve type 2 diabetes.Semantic proximity Read ↗

Genome-wide association analyses identify 143 risk variants and putative regulatory mechanisms for type 2 diabetes.Semantic proximity Read ↗

Computational analyses of type 2 diabetes-associated loci identified by genome-wide association studies.Semantic proximity Read ↗

Bioinformatics Analysis of Next Generation Sequencing Data Identifies Molecular Biomarkers Associated With Type 2 Diabetes MellitusSemantic proximity Read ↗

Multi-omics regulatory networks reveal the key driver genes in the development of type 2 diabetesSemantic proximity Read ↗

In silico functional and pathway analysis of risk genes and SNPs for type 2 diabetes in Asian population.Semantic proximity Read ↗

Single-cell RNA sequencing of peripheral blood mononuclear cells reveals complex cellular signalling signatures of metformin treatment type 2 diabetes mellitusSemantic proximity Read ↗

An Expanded Genome-Wide Association Study of Type 2 Diabetes in Europeans.Semantic proximity Read ↗

Genome-wide meta-analysis of genetic susceptible genes for Type 2 Diabetes.Semantic proximity Read ↗

Interactome-transcriptome analysis discovers signatures complementary to GWAS Loci of Type 2 Diabetes.Semantic proximity Read ↗

Multi-omics characterization of type 2 diabetes associated genetic variationSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.