ArticleStatistics in biosciences2016
Power and Effective Study Size in Heritability Studies.
Article in Statistics in biosciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Unraveling the Heritability of Ocular Rigidity and Myopia-Related Traits: A Siblings-Based Study.Investigative ophthalmology & visual science · 2026Article
- Exploring the Genetic Link Between Coat Colour and Morphological Traits: The Case of Peruano de Paso Horse.Animals : an open access journal from MDPI · 2025Article
- Accelerating Heritability, Genetic Correlation, and Genome-Wide Association Imaging Genetic Analyses in Complex Pedigrees.Human brain mapping · 2024Article
- Cohort Study Protocol: A Cohort of Korean Atomic Bomb Survivors and Their Offspring.Journal of preventive medicine and public health = Yebang Uihakhoe chi · 2023Article
- Comparing empirical kinship derived heritability for imaging genetics traits in the UK biobank and human connectome project.NeuroImage · 2021Article
- Article
- Correlations between relatives: From Mendelian theory to complete genome sequence.Genetic epidemiology · 2019Article
- Realized Genome Sharing in Heritability Estimation Using Random Effects Models.G3 (Bethesda, Md.) · 2019Article
- Detecting the dominance component of heritability in isolated and outbred human populations.Scientific reports · 2018Article
- The evolution of phenotypic integration: How directional selection reshapes covariation in mice.Evolution; international journal of organic evolution · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
Correlation between study units in quantitative genetics studies often makes it difficult to compare important inferential aspects of studies. Describing the relatedness between study units is critical to capture features of pedigree studies involving heritability, including power and precision of heritability estimates. Blangero et al (2012) showed that in pedigree studies the power to detect heritability is a function of the true heritability and the eigenvalues of the kinship matrix. We extend this to a more general setting which allows statements about expected precision of heritability estimates. Using two different Taylor series approximations, we summarize the relatedness in a study design by one or two parameters. These relatedness summary parameters (RSPs) are functions of the eigenvalues or log-eigenvalues of the kinship matrix. Using the RSPs based on the log-eigenvalues, we accurately approximate the expectation of the likelihood ratio test and expected confidence interval widths. We define an effective sample size of a target study as one which has the equivalent power and precision to a reference design. Using unrelated sibpairs as the reference design provides very accurate assessments of power. RSPs and effective sample sizes provide new tools for comparing studies and communicating information about relatedness in heritability studies.
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Registered trials
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