HEDE: Heritability estimation in high dimensions by Ensembling Debiased Estimators

Understand

Estimating heritability remains a significant challenge in statistical genetics.

• Diverse approaches have emerged over the years that are broadly categorized as either random effects or fixed effects heritability methods.
• In this work, we focus on the latter.
• We propose HEDE, an ensemble approach to estimate heritability or the signal-to-noise ratio in high-dimensional linear models where the sample size and the dimension grow proportionally.