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

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.

BMC bioinformatics - 12 Aug 2008

Hong Huixiao, Su Zhenqiang, Ge Weigong, Shi Leming, Perkins Roger, Fang Hong, Xu Joshua, Chen James J, Han Tao, Kaput Jim, Fuscoe James C, Tong Weida

Abstract excerpt

BACKGROUND: Genome-wide association studies (GWAS) aim to identify genetic variants (usually single nucleotide polymorphisms [SNPs]) across the entire human genome that are associated with phenotypic traits such as disease status and drug response. Highly accurate and reproducible genotype calling are paramount since errors introduced by calling algorithms can lead to inflation of false associations between...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Base Sequence

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Chromosome Mapping

Share to DNA Mutational Analysis

Share to Genome, Human

Share to Haplotypes

Share to Oligonucleotide Array Sequence Analysis

Share to Software

Source

Open in PubMed Open full text

Identifiers

PMID: 18793462
DOI: 10.1186/1471-2105-9-S9-S17
PMCID: PMC2537568

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

Assessing batch effects of genotype calling algorithm BRLMM for the Affymetrix GeneChip Human Mapping 500 K array set using 270 HapMap samples.PMID 18793462Read ↗

Batch effects in the BRLMM genotype calling algorithm influence GWAS results for the Affymetrix 500K array.Semantic proximity Read ↗

Identifying and mitigating batch effects in whole genome sequencing data.Semantic proximity Read ↗

Impact of Variant-level Batch Effects on Identification of Genetic Risk Factors in Large Sequencing StudiesSemantic proximity Read ↗

Impact of variant-level batch effects on identification of genetic risk factors in large sequencing studies.Semantic proximity Read ↗

Quantifying uncertainty in genotype calls.Semantic proximity Read ↗

Evaluating variations of genotype calling: a potential source of spurious associations in genome-wide association studies.Semantic proximity Read ↗

An interactive effect of batch size and composition contributes to discordant results in GWAS with the CHIAMO genotyping algorithm.Semantic proximity Read ↗

Variability in GWAS analysis: the impact of genotype calling algorithm inconsistencies.Semantic proximity Read ↗

MA-SNP--A new genotype calling method for oligonucleotide SNP arrays modeling the batch effect with a normal mixture model.Semantic proximity Read ↗

A new statistic for identifying batch effects in high-throughput genomic data that uses guided principal component analysis.Semantic proximity Read ↗

Algorithms for large-scale genotyping microarrays.Semantic proximity Read ↗

Assessment of variability in GWAS with CRLMM genotyping algorithm on WTCCC coronary artery disease.Semantic proximity Read ↗

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