ArticleAmerican journal of human genetics2024
Estimating disease heritability from complex pedigrees allowing for ascertainment and covariates.
Article in American journal of human genetics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Advancing risk gene discovery across the allele frequency spectrum.HGG advances · 2026Review
- Estimating genetic parameters of egg production in three local Tanzanian chicken ecotypes.Poultry science · 2026Article
- Per-allele disease and complex trait effect sizes are predominantly African MAF-dependent in European populations.medRxiv : the preprint server for health sciences · 2026Article
- Article
- Article
- Heritability of Alzheimer's disease-related plasma biomarkers in the Amish population.Alzheimer's & dementia (Amsterdam, Netherlands)Article
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We propose TetraHer, a method for estimating the liability heritability of binary phenotypes. TetraHer has five key features. First, it can be applied to data from complex pedigrees that contain multiple types of relationships. Second, it can correct for ascertainment of cases or controls. Third, it can accommodate covariates. Fourth, it can model the contribution of common environment. Fifth, it produces a likelihood that can be used for significance testing. We first demonstrate the validity of TetraHer on simulated data. We then use TetraHer to estimate liability heritability for 229 codes from the tenth International Classification of Diseases (ICD-10). We identify 107 codes with significant heritability (p < 0.05/229), which can be used in future analyses for investigating the genetic architecture of human diseases.
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Registered trials
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