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

Testing for association between ordinal traits and genetic variants in pedigree-structured samples by collapsing and kernel methods.

The international journal of biostatistics - 1 Nov 2024

Chien Li-Chu

Abstract excerpt

In genome-wide association studies (GWAS), logistic regression is one of the most popular analytics methods for binary traits. Multinomial regression is an extension of binary logistic regression that allows for multiple categories. However, many GWAS methods have been limited application to binary traits. These methods have improperly often been used to account for ordinal traits, which causes inappropriate type...

Read the complete abstract on PubMed

Topics

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

Share to Computer Simulation
Share to Genetic Variation
Share to Genome-Wide Association Study

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Models, Statistical

Share to Pedigree

Source

Identifiers

PMID: 37743670
DOI: 10.1515/ijb-2022-0123

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

Testing for association between ordinal traits and genetic variants in pedigree-structured samples by collapsing and kernel methods.PMID 37743670Read ↗

Associating Multivariate Traits with Genetic Variants Using Collapsing and Kernel Methods with Pedigree- or Population-Based Studies.Semantic proximity Read ↗

Multiple genetic variant association testing by collapsing and kernel methods with pedigree or population structured data.Semantic proximity Read ↗

Ordered multinomial regression for genetic association analysis of ordinal phenotypes at Biobank scale.Semantic proximity Read ↗

Gene-level association analysis of bivariate ordinal traits with functional regressions.Semantic proximity Read ↗

Joint association analysis of a binary and a quantitative trait in family samples.Semantic proximity Read ↗

Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrixSemantic proximity Read ↗

Observational epidemiological studies can mitigate genetic confounding with a genetic relatedness matrix.Semantic proximity Read ↗

Identifying latent genetic interactions in genome-wide association studies using multiple traits.Semantic proximity Read ↗

Statistical methods for association tests of multiple continuous traits in genome-wide association studies.Semantic proximity Read ↗

Statistically efficient association analysis of quantitative traits with haplotypes and untyped SNPs in family studies.Semantic proximity Read ↗

Detecting associations of rare variants with common diseases: collapsing or haplotyping?Semantic proximity Read ↗

A semiparametric test to detect associations between quantitative traits and candidate genes in structured populations.Semantic proximity Read ↗

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