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

Estimating gene penetrance from family data.

Genetic epidemiology - 1 May 2010

Gong Gail, Hannon Nathan, Whittemore Alice S

Abstract excerpt

Family data are useful for estimating disease risk in carriers of specific genotypes of a given gene (penetrance). Penetrance is frequently estimated assuming that relatives' phenotypes are independent, given their genotypes for the gene of interest. This assumption is unrealistic when multiple shared risk factors contribute to disease risk. In this setting, the phenotypes of relatives are correlated even after...

Read the complete abstract on PubMed

Topics

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

Share to Disease
Share to Family Health
Share to Models, Genetic

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Models, Statistical

Share to Penetrance

Share to Risk Factors

Share to Treatment Outcome

Source

Open in PubMed Open full text

Identifiers

PMID: 20397150
DOI: 10.1002/gepi.20493
PMCID: PMC3003663

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

Estimating gene penetrance from family data.PMID 20397150Read ↗

Estimating penetrance from multiple case families with predisposing mutations: extension of the 'genotype-restricted likelihood' (GRL) method.Semantic proximity Read ↗

Calculating variant penetrance using family history of disease and population data AuthorshipSemantic proximity Read ↗

Optimal designs for estimating penetrance of rare mutations of a disease-susceptibility gene.Semantic proximity Read ↗

Power evaluations for family-based tests of association with incomplete parental genotypes.Semantic proximity Read ↗

Calculating variant penetrance from family history of disease and average family size in population-scale data.Semantic proximity Read ↗

Estimating the penetrance of pathogenic gene variants in families with missing pedigree information.Semantic proximity Read ↗

Estimating disease prevalence using relatives of case and control probands.Semantic proximity Read ↗

Power calculations for familial aggregation studies.Semantic proximity Read ↗

Association and aggregation analysis using kin-cohort designs with applications to genotype and family history data from the Washington Ashkenazi Study.Semantic proximity Read ↗

Estimating disease risk associated with mutated genes in family-based designs.Semantic proximity Read ↗

Estimating penetrance from family data using a retrospective likelihood when ascertainment depends on genotype and age of onset.Semantic proximity Read ↗

Prediction of genetic risks from segregation analyses of morbid risks.Semantic proximity Read ↗

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