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

Genetic association analysis using data from triads and unrelated subjects.

American journal of human genetics - 1 Apr 2005

Epstein Michael P, Veal Colin D, Trembath Richard C, Barker Jonathan N W N, Li Chun, Satten Glen A

Abstract excerpt

The selection of an appropriate control sample for use in association mapping requires serious deliberation. Unrelated controls are generally easy to collect, but the resulting analyses are susceptible to spurious association arising from population stratification. Parental controls are popular, since triads comprising a case and two parents can be used in analyses that are robust to this stratification. However,...

Read the complete abstract on PubMed

Topics

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

Share to Algorithms
Share to Genetic Linkage
Share to Likelihood Functions

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Genetic

Share to Models, Statistical

Share to Parents

Share to Psoriasis

Share to Research Design

Source

Open in PubMed Open full text

Identifiers

PMID: 15712104
DOI: 10.1086/429225
PMCID: PMC1199297

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Genetic association analysis using data from triads and unrelated subjects.PMID 15712104Read ↗

Combining case-control and case-trio data from the same population in genetic association analyses: overview of approaches and illustration with a candidate gene study.Semantic proximity Read ↗

Simple association analysis combining data from trios/sibships and unrelated controls.Semantic proximity Read ↗

On combining triads and unrelated subjects data in candidate gene studies: an application to data on testicular cancer.Semantic proximity Read ↗

A hybrid design: case-parent triads supplemented by control-mother dyads.Semantic proximity Read ↗

Handling marker-marker linkage disequilibrium: pedigree analysis with clustered markers.Semantic proximity Read ↗

Benchmarking statistical methods for analyzing parent-child dyads in genetic association studies.Semantic proximity Read ↗

A comparative study of sibship tests of linkage and/or association.Semantic proximity Read ↗

Disentangling pooled triad genotypes for association studies.Semantic proximity Read ↗

Screening and replication using the same data set: testing strategies for family-based studies in which all probands are affected.Semantic proximity Read ↗

Family-based samples can play an important role in genetic association studies.Semantic proximity Read ↗

Family-based association studies.Semantic proximity Read ↗

Testing for genetic association with constrained models using triads.Semantic proximity Read ↗

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