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

SNP set association analysis for familial data.

Genetic epidemiology - 1 Dec 2012

Schifano Elizabeth D, Epstein Michael P, Bielak Lawrence F, Jhun Min A, Kardia Sharon L R, Peyser Patricia A, Lin Xihong

Abstract excerpt

Genome-wide association studies (GWAS) are a popular approach for identifying common genetic variants and epistatic effects associated with a disease phenotype. The traditional statistical analysis of such GWAS attempts to assess the association between each individual single-nucleotide polymorphism (SNP) and the observed phenotype. Recently, kernel machine-based tests for association between a SNP set (e.g.,...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Artificial Intelligence
Share to Chromosomes, Human, Pair 10

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Family

Share to Genetic Association Studies

Share to Genome-Wide Association Study

Share to Models, Genetic

Source

Open in PubMed Open full text

Identifiers

PMID: 22968922
DOI: 10.1002/gepi.21676
PMCID: PMC3683469

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

SNP set association analysis for familial data.PMID 22968922Read ↗

Powerful SNP-set analysis for case-control genome-wide association studies.Semantic proximity Read ↗

A kernel regression approach to gene-gene interaction detection for case-control studies.Semantic proximity Read ↗

Kernel machine SNP-set analysis for censored survival outcomes in genome-wide association studies.Semantic proximity Read ↗

GEE-based SNP set association test for continuous and discrete traits in family-based association studies.Semantic proximity Read ↗

Prioritizing individual genetic variants after kernel machine testing using variable selection.Semantic proximity Read ↗

gsSKAT: Rapid gene set analysis and multiple testing correction for rare-variant association studies using weighted linear kernels.Semantic proximity Read ↗

Gene set analysis of SNP data: benefits, challenges, and future directions.Semantic proximity Read ↗

Multivariate phenotype association analysis by marker-set kernel machine regression.Semantic proximity Read ↗

Powerful and efficient SNP-set association tests across multiple phenotypes using GWAS summary dataSemantic proximity Read ↗

An optimal kernel-based multivariate U-statistic to test for associations with multiple phenotypes.Semantic proximity Read ↗

Association tests using kernel-based measures of multi-locus genotype similarity between individuals.Semantic proximity Read ↗

Associating Multivariate Quantitative Phenotypes with Genetic Variants in Family Samples with a Novel Kernel Machine Regression Method.Semantic proximity Read ↗

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