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

Using the phenotype differences model to identify genetic effects in samples of partially genotyped sibling pairs.

Proceedings of the National Academy of Sciences of the United States of America - 3 Dec 2024

Trejo Sam, Kanopka Klint

Abstract excerpt

The identification of causal relationships between specific genes and social, behavioral, and health outcomes is challenging due to environmental confounding from population stratification and dynastic genetic effects. Existing methods to eliminate environmental confounding leverage random genetic variation resulting from recombination and require within-family dyadic genetic data (i.e., parent-child and/or...

Read the complete abstract on PubMed

Topics

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

Share to Body Mass Index
Share to Genotype
Share to Longevity

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Longitudinal Studies

Share to Models, Genetic

Share to Multifactorial Inheritance

Share to Phenotype

Share to Siblings

Source

Open in PubMed Open full text

Identifiers

PMID: 39589875
DOI: 10.1073/pnas.2405725121
PMCID: PMC11626128

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 3 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Using the phenotype differences model to identify genetic effects in samples of partially genotyped sibling pairs.PMID 39589875Read ↗

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 ↗

Genetic risk scores of disease and mortality capture differences in longevity, economic behavior, and insurance outcomesSemantic proximity Read ↗

Polygenic Health Index, General Health, and Pleiotropy: Sibling Analysis and Disease Risk ReductionSemantic proximity Read ↗

Sibling validation of polygenic risk scores and complex trait prediction.Semantic proximity Read ↗

Within-sibship GWAS improve estimates of direct genetic effectsSemantic proximity Read ↗

Within-Family Validation of Polygenic Risk Scores and Complex Trait PredictionSemantic proximity Read ↗

Incorporating polygenic risk scores and social determinants of health across populations: Considerations and best practices in research.Semantic proximity Read ↗

The relationship between 11 different polygenic longevity scores, parental lifespan, and disease diagnosis in the UK Biobank.Semantic proximity Read ↗

Genome-Wide Estimates of Heritability for Social Demographic Outcomes.Semantic proximity Read ↗

Within-family heritability estimates for behavioural and disease phenotypes from 500,000 sibling pairs of diverse ancestriesSemantic proximity Read ↗

The National Longitudinal Study of Adolescent to Adult Health (Add Health) sibling pairs genome-wide data.Semantic proximity Read ↗

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