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

Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region.

Annals of human genetics - 1 Jan 2014

Spencer Amy Victoria, Cox Angela, Walters Kevin

Abstract excerpt

Genome-wide association studies have successfully identified associations between common diseases and a large number of single nucleotide polymorphisms (SNPs) across the genome. We investigate the effectiveness of several statistics, including p-values, likelihoods, genetic map distance and linkage disequilibrium between SNPs, in filtering SNPs in several disease-associated regions. We use simulated data to...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Databases, Factual
Share to Genome

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genotyping Techniques

Share to Logistic Models

Share to Odds Ratio

Share to ROC Curve

Share to Sample Size

Source

Open in PubMed Open full text

Identifiers

PMID: 24205929
DOI: 10.1111/ahg.12043
PMCID: PMC4282378

Genes

MAF

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

Comparing the efficacy of SNP filtering methods for identifying a single causal SNP in a known association region.PMID 24205929Read ↗

Finding type 2 diabetes causal single nucleotide polymorphism combinations and functional modules from genome-wide association data.Semantic proximity Read ↗

Beyond Rare-Variant Association Testing: Pinpointing Rare Causal Variants in Case-Control Sequencing Study.Semantic proximity Read ↗

Association testing strategy for data from dense marker panels.Semantic proximity Read ↗

Computational Tools for Causal Inference in Genetics.Semantic proximity Read ↗

Finding disease variants in Mendelian disorders by using sequence data: methods and applications.Semantic proximity Read ↗

Filtering genetic variants and placing informative priors based on putative biological function.Semantic proximity Read ↗

Assessing methods for assigning SNPs to genes in gene-based tests of association using common variants.Semantic proximity Read ↗

Strategies for developing prediction models from genome-wide association studies.Semantic proximity Read ↗

Finding genes underlying human disease.Semantic proximity Read ↗

A quality control algorithm for filtering SNPs in genome-wide association studies.Semantic proximity Read ↗

Joint modeling of linkage and association: identifying SNPs responsible for a linkage signal.Semantic proximity Read ↗

Additional SNPs and linkage-disequilibrium analyses are necessary for whole-genome association studies in humans.Semantic proximity Read ↗

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