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

Statistical genetic issues for genome-wide association studies.

Genome - 1 Nov 2010

Weir Bruce S

Abstract excerpt

Genotyping technology now allows the rapid and affordable generation of million-SNP profiles for humans, leading to considerable activity in association mapping. Similar activity is anticipated for many plant species, including Brassica. These plant association mapping activities will require the...

Read the complete abstract on PubMed

Topics

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

Share to Data Interpretation, Statistical
Share to Gene Frequency
Share to Genome, Plant

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Genome-Wide Association Study

Share to Genotype

Share to Linkage Disequilibrium

Share to Phenotype

Share to Polymorphism, Single Nucleotide

Source

Open in PubMed Open full text

Identifiers

PMID: 21076502
DOI: 10.1139/G10-062
PMCID: PMC4686343

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-21076502-2026-09-02.2. Manifest publication-graph-cohort-2026-09-02.2.

Source receipt: PubMed via Helena Literature Corpus, retrieved 2 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Statistical genetic issues for genome-wide association studies.PMID 21076502Read ↗

Overview of Statistical Methods for Genome-Wide Association Studies (GWAS).Semantic proximity Read ↗

Concepts and relevance of genome-wide association studies.Semantic proximity Read ↗

Bioinformatics challenges for genome-wide association studies.Semantic proximity Read ↗

Statistical analysis for genome-wide association studySemantic proximity Read ↗

Statistical issues in gene association studies.Semantic proximity Read ↗

Identification and Validation of Candidate Genes from Genome-Wide Association Studies.Semantic proximity Read ↗

Common statistical issues in genome-wide association studies: a review on power, data quality control, genotype calling and population structure.Semantic proximity Read ↗

Status and prospects of genome-wide association studies in plants.Semantic proximity Read ↗

Naturalgwas: An R package for evaluating genomewide association methods with empirical data.Semantic proximity Read ↗

Significance levels in genome scans.Semantic proximity Read ↗

Designing a GWAS: power, sample size, and data structure.Semantic proximity Read ↗

Significance thresholds for quantitative trait locus mapping under selective genotyping.Semantic proximity Read ↗

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