Heritability estimation of dichotomous phenotypes using a liability threshold model on ascertained family‐based samples

Numerous methods for estimating heritability have been proposed; however, unlike quantitative phenotypes, heritability estimation for dichotomous phenotypes is computationally and statistically complex, and the use of heritability is infrequent. In this study, we developed a statistical method to es...

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Veröffentlicht in:Genetic epidemiology 2019-10, Vol.43 (7), p.761-775
Hauptverfasser: Kim, Wonji, Kwak, Soo Heon, Won, Sungho
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creator Kim, Wonji
Kwak, Soo Heon
Won, Sungho
description Numerous methods for estimating heritability have been proposed; however, unlike quantitative phenotypes, heritability estimation for dichotomous phenotypes is computationally and statistically complex, and the use of heritability is infrequent. In this study, we developed a statistical method to estimate heritability of dichotomous phenotypes using a liability threshold model in the context of ascertained family‐based samples. This model assumes that dichotomous phenotypes are determined by unobserved latent variables that are normally distributed and can be applied to general pedigree data. The proposed methods were applied to simulated data and Korean type‐2 diabetes family‐based samples, and the accuracy of the estimates provided by the experimental methods was compared with that of the established methods.
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source MEDLINE; Wiley Online Library All Journals
subjects Adult
Algorithms
ascertainment bias
Computer Simulation
Diabetes mellitus
Diabetes Mellitus, Type 2 - genetics
Family
Female
Genetic Predisposition to Disease
Heritability
Humans
Inheritance Patterns - genetics
liability threshold model
Male
Middle Aged
Models, Genetic
Pedigree
Phenotype
Phenotypes
Risk Factors
title Heritability estimation of dichotomous phenotypes using a liability threshold model on ascertained family‐based samples
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