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

Effects of normalization on quantitative traits in association test.

BMC bioinformatics - 14 Dec 2009

Goh Liang, Yap Von Bing

Abstract excerpt

BACKGROUND: Quantitative trait loci analysis assumes that the trait is normally distributed. In reality, this is often not observed and one strategy is to transform the trait. However, it is not clear how much normality is required and which transformation works best in association studies. RESUL...

Read the complete abstract on PubMed

Topics

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

Share to Computational Biology
Share to Genetic Variation
Share to Polymorphism, Single Nucleotide

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Quantitative Trait Loci

Share to Sample Size

Source

Open in PubMed Open full text

Identifiers

PMID: 20003414
DOI: 10.1186/1471-2105-10-415
PMCID: PMC2800123

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026. Prepared record publication-20003414-2026-09-02.2. 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

Effects of normalization on quantitative traits in association test.PMID 20003414Read ↗

Rank-based robust tests for quantitative-trait genetic association studies.Semantic proximity Read ↗

Operating characteristics of the rank-based inverse normal transformation for quantitative trait analysis in genome-wide association studies.Semantic proximity Read ↗

Transformation to estimate the causal effect in Mendelian randomization study with binary risk factor and outcome.Semantic proximity Read ↗

A systematic comparison of normalization methods for eQTL analysis.Semantic proximity Read ↗

Rank-based inverse normal transformations are increasingly used, but are they merited?Semantic proximity Read ↗

The effect of phenotypic outliers and non-normality on rare-variant association testing.Semantic proximity Read ↗

Statistical tests for detecting rare variants using variance-stabilising transformations.Semantic proximity Read ↗

Genetic association tests based on ranks (GATOR) for quantitative traits with and without censoring.Semantic proximity Read ↗

Adaptive linear rank tests for eQTL studies.Semantic proximity Read ↗

The longitudinal nonparametric test as a new tool to explore gene-gene and gene-time effects in cohorts.Semantic proximity Read ↗

Quantitative allelic test--a fast test for very large association studies.Semantic proximity Read ↗

Bayes factor based on the trend test incorporating Hardy-Weinberg disequilibrium: more power to detect genetic association.Semantic proximity Read ↗

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