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Article

Missing single nucleotide polymorphisms in Genetic Risk Scores: A simulation study.

PloS one - 1 Jan 2018

Chagnon Miguel, O'Loughlin Jennifer, Engert James C, Karp Igor, Sylvestre Marie-Pierre

Abstract excerpt

Using a genetic risk score (GRS) to predict a phenotype in a target sample can be complicated by missing data on the single nucleotide polymorphisms (SNPs) that comprise the GRS. This is usually addressed by imputation, omission of the SNPs or by replacing the missing SNPs with proxy SNPs. To assess the impact of the omission and proxy approaches on effect size estimation and predictive ability of weighted and...

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Source

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Identifiers

PMID: 30024900
DOI: 10.1371/journal.pone.0200630
PMCID: PMC6053141

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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