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Biometrics
Article . 2016 . Peer-reviewed
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Biometrics
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Article . 2016
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Biometrics
Article . 2017
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The Latent Class Twin Method

The latent class twin method
Authors: Baker, Stuart G.;

The Latent Class Twin Method

Abstract

Summary The twin method refers to the use of data from same-sex identical and fraternal twins to estimate the genetic and environmental contributions to a trait or outcome. The standard twin method is the variance component twin method that estimates heritability, the fraction of variance attributed to additive genetic inheritance. The latent class twin method estimates two quantities that are easier to interpret than heritability: the genetic prevalence, which is the fraction of persons in the genetic susceptibility latent class, and the heritability fraction, which is the fraction of persons in the genetic susceptibility latent class with the trait or outcome. We extend the latent class twin method in three important ways. First, we incorporate an additive genetic model to broaden the sensitivity analysis beyond the original autosomal dominant and recessive genetic models. Second, we specify a separate survival model to simplify computations and improve convergence. Third, we show how to easily adjust for covariates by extending the method of propensity scores from a treatment difference to zygosity. Applying the latent class twin method to data on breast cancer among Nordic twins, we estimated a genetic prevalence of 1%, a result with important implications for breast cancer prevention research.

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Keywords

Reliability and life testing, Models, Genetic, Estimation in multivariate analysis, Breast Neoplasms, latent class, Scandinavian and Nordic Countries, Applications of statistics to biology and medical sciences; meta analysis, phantom heritability, breast cancer, survival variance components, Data Interpretation, Statistical, missing heritability, Prevalence, Humans, Twin Studies as Topic, Female, Gene-Environment Interaction, Genetic Predisposition to Disease, propensity score

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
1
Average
Average
Average
hybrid