Discover Community Create You

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

Genome-wide meta-analysis of genetic susceptible genes for Type 2 Diabetes.

BMC systems biology - 1 Jan 2012

Hale Paul J, López-Yunez Alfredo M, Chen Jake Y

Abstract excerpt

BACKGROUND: Many genetic studies, including single gene studies and Genome-wide association studies (GWAS), aim to identify risk alleles for genetic diseases such as Type II Diabetes (T2D). However, in T2D studies, there is a significant amount of the hereditary risk that cannot be simply explained by individual risk genes. There is a need for developing systems biology approaches to integrate comprehensive...

Read the complete abstract on PubMed

Topics

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

Share to Chromosomes, Human
Share to Diabetes Mellitus, Type 2
Share to Gene Expression

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Gene Expression Profiling

Share to Gene Regulatory Networks

Share to Models, Genetic

Share to Systems Biology

Share to Transcription Factor 7-Like 2 Protein

Source

Open in PubMed Open full text

Identifiers

PMID: 23281828
DOI: 10.1186/1752-0509-6-S3-S16
PMCID: PMC3524015

Genes

ENPP1
ESR1

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genome-wide meta-analysis of genetic susceptible genes for Type 2 Diabetes.PMID 23281828Read ↗

Genetics of type 2 diabetes.Semantic proximity Read ↗

A Dual Systems Genetics Approach Identifies Common Genes, Networks, and Pathways for Type 1 and 2 Diabetes in Human IsletsSemantic proximity Read ↗

A Pathway and Network Oriented Approach to Enlighten Molecular Mechanisms of Type 2 Diabetes Using Multiple Association StudiesSemantic proximity Read ↗

High-throughput Genetic Clustering of Type 2 Diabetes Loci Reveals Heterogeneous Mechanistic Pathways of Metabolic DiseaseSemantic proximity Read ↗

A systems genetics approach identifies genes and pathways for type 2 diabetes in human islets.Semantic proximity Read ↗

Large-scale association analysis provides insights into the genetic architecture and pathophysiology of type 2 diabetes.Semantic proximity Read ↗

<i>In-silico</i> analysis reveals hub genes and enriched pathways in Type 2 Diabetes MellitusSemantic proximity Read ↗

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

Fine-mapping of an expanded set of type 2 diabetes loci to single-variant resolution using high-density imputation and islet-specific epigenome mapsSemantic proximity Read ↗

Progress in defining the genetic contribution to type 2 diabetes susceptibility.Semantic proximity Read ↗

Shared genetic risk contributes to type 1 and type 2 diabetes etiologySemantic proximity Read ↗

Twelve type 2 diabetes susceptibility loci identified through large-scale association analysis.Semantic proximity Read ↗

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