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

Laying a solid foundation for Manhattan--'setting the functional basis for the post-GWAS era'.

Trends in genetics : TIG - 1 Apr 2014

Zhang Xiaoyang, Bailey Swneke D, Lupien Mathieu

Abstract excerpt

Genome-wide association studies (GWAS) have identified more than 8900 genetic variants, mainly single-nucleotide polymorphisms (SNPs), associated with hundreds of human traits and diseases, which define risk-associated loci. Variants that map to coding regions can affect protein sequence, translation rate, and alternative splicing, all of which influence protein function. However, the vast majority of sequence...

Read the complete abstract on PubMed

Topics

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

Share to DNA, Intergenic
Share to DNA Repair Mechanisms
Share to Genetic factors in colorectal cancer

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Genetic Variation

Share to Genome

Share to Genome-Wide Association Study

Share to Open Reading Frames

Source

Open in PubMed Open full text

Identifiers

PMID: 24661571
DOI: 10.1016/j.tig.2014.02.006
PMCID: PMC4026049

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Laying a solid foundation for Manhattan--'setting the functional basis for the post-GWAS era'.PMID 24661571Read ↗

Genetic study of complex diseases in the post-GWAS era.Semantic proximity Read ↗

Interpreting noncoding genetic variation in complex traits and human disease.Semantic proximity Read ↗

Demystifying non-coding GWAS variants: an overview of computational tools and methods.Semantic proximity Read ↗

Genomics in the post-GWAS era.Semantic proximity Read ↗

Performing post-genome-wide association study analysis: overview, challenges and recommendationsSemantic proximity Read ↗

Challenges and progress in interpretation of non-coding genetic variants associated with human disease.Semantic proximity Read ↗

Technological advancements in functional interpretation of genome-wide association studies (GWAS) findings: bridging the gap to clinical translation.Semantic proximity Read ↗

Potential etiologic and functional implications of genome-wide association loci for human diseases and traits.Semantic proximity Read ↗

A systematic approach to understand the functional consequences of non-protein coding risk regions.Semantic proximity Read ↗

An Introduction to Genome-Wide Association Studies: GWAS for DummiesSemantic proximity Read ↗

Genomic resources for dissecting the role of non-protein coding variation in gene-environment interactions.Semantic proximity Read ↗

Mining the Unknown: Assigning Function to Noncoding Single Nucleotide Polymorphisms.Semantic proximity Read ↗

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