POISE: New Method Infers Parent-of-Origin Genetic Effects Without Family Data
Researchers have developed POISE, a computational method that can identify parent-of-origin effects (POEs) in genetic data without requiring family pedigree information. POEs occur when the same allele has different effects on a trait depending on whether it was inherited from the mother or father, and studying them has traditionally required costly family-based studies. POISE could substantially lower the barrier to discovering these effects by working directly with standard genome-wide association study data.
Parent-of-origin effects (POEs) are a class of genetic phenomena where an allele's impact on a trait — such as BMI or cholesterol levels — depends on whether it was maternally or paternally inherited, and they have been linked to growth, metabolism, and neurodevelopment. Conventional methods for detecting POEs require family-based datasets to trace the parental origin of alleles, making such studies expensive and time-intensive relative to standard GWAS. POISE (Parent of Origin Inference via Spectral Estimation) addresses this limitation by applying a spectral decomposition approach borrowed from machine learning's community detection algorithms, enabling POE inference from unlabeled genomic data. The method also generates bias-corrected bootstrap confidence intervals and includes an information-theoretic filter to exclude unreliable estimates, providing robustness against confounding sources of variation such as variance quantitative trait loci. When applied to UK Biobank GWAS data for BMI, LDL cholesterol, and HDL cholesterol, POISE successfully replicated known POE loci and identified 134 additional variants at genes associated with lipid metabolism, immune regulation, and growth. Simulation studies showed POISE is well-calibrated under both Gaussian and heavy-tailed noise and outperforms existing covariance-based tests in robustness. The Python implementation is publicly available on GitHub.
What's missing
As a preprint, POISE has not yet undergone peer review, so its claimed advantages over existing methods and the 134 novel loci identified in the UK Biobank remain unvalidated by independent expert assessment. The study does not report replication of the newly identified loci in an independent cohort, leaving open the question of how many represent true POEs versus false positives. The method's performance on non-European ancestry populations, which are underrepresented in the UK Biobank, is not addressed.
What different sources said
- bioRxivCenter
POISE: Spectral Inference of Parent-of-Origin Effects in Unlabeled Genomic Data
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