Heritability estimation of diseases in case-control studies

TL;DR

This paper investigates the theoretical properties of a heritability estimation method for binary disease traits in case-control studies, proving its consistency and comparing approximation approaches through numerical analysis.

Contribution

It provides the first theoretical proof of consistency for an existing heritability estimator used in case-control genetic studies.

Findings

The heritability estimator is proven to be consistent.

Numerical comparisons of approximation methods are provided.

The method effectively accounts for oversampling in case-control data.

Abstract

In the field of genetics, the concept of heritability refers to the proportion of variations of a biological trait or disease that can be explained by genetic factors. Quantifying the heritability of a disease is a fundamental challenge in human genetics, especially when the causes are plural and not clearly identified. Although the literature regarding heritability estimation for binary traits is less rich than for quantitative traits, several methods have been proposed to estimate the heritability of complex diseases. However, to the best of our knowledge, the existing methods are not supported by theoretical grounds. Moreover, most of the methodologies do not take into account a major specificity of the data coming from medical studies, which is the oversampling of the number of patients compared to controls. We propose in this paper to investigate the theoretical properties of the method developed by Golan et al. (2014), which is very efficient in practice, despite the oversampling of patients. Our main result is the proof of the consistency of this estimator. We also provide a numerical study to compare two approximations leading to two heritability estimators.