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

SNPing away at candidate genes.

Genetic epidemiology - 1 Jan 2001

Suchard M A, Bailey J N, Elashoff D A, Sinsheimer J S

Abstract excerpt

We develop regression methodology to identify subsets of single nucleotide polymorphisms (SNPs) within candidate genes related to quantitative traits and apply our methods to the simulated Genetic Analysis Workshop (GAW) 12 data set. In the data set we find 694 SNP loci with minimum allele frequencies of at least 0.01. We assume an additive casual model between these SNPs and all five quantitative traits. After...

Read the complete abstract on PubMed

Topics

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

Share to Alleles
Share to Chromosome Mapping
Share to Gene Frequency

Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

Share to Genetic Predisposition to Disease

Share to Models, Genetic

Share to Polymorphism, Single Nucleotide

Share to Quantitative Trait, Heritable

Share to Regression Analysis

Source

Identifiers

PMID: 11793754
DOI: 10.1002/gepi.2001.21.s1.s643

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence. Graph snapshot: 2026-09-29.

Research trail→

Click a neighbor to travelStep 1 · 10 closest

SNPing away at candidate genes.PMID 11793754Read ↗

SNPs--where's the beef?Semantic proximity Read ↗

Identifying susceptibility genes by using joint tests of association and linkage and accounting for epistasis.Semantic proximity Read ↗

Optimal selection of SNP markers for disease association studies.Semantic proximity Read ↗

Genome-wide linkage analysis in a general population sample using sigma 2A random effects (SSARs) fitted by Gibbs sampling.Semantic proximity Read ↗

Genetic analysis of a common oligogenic trait with quantitative correlates: summary of GAW9 results.Semantic proximity Read ↗

Predicting quantitative trait levels by modeling SNP interaction.Semantic proximity Read ↗

Selection of genetic markers for association analyses, using linkage disequilibrium and haplotypes.Semantic proximity Read ↗

MQScore_SNP software for multipoint parametric linkage analysis of quantitative traits in large pedigrees.Semantic proximity Read ↗

SNPs selection using support vector regression and genetic algorithms in GWAS.Semantic proximity Read ↗

Screening for linkage using a multipoint identity-by-descent method.Semantic proximity Read ↗

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