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Article

Evaluation of low-pass genome sequencing in polygenic risk score calculation for Parkinson's disease.

Human genomics - 28 Aug 2021

Kim Sungjae, Shin Jong-Yeon, Kwon Nak-Jung, Kim Chang-Uk, Kim Changhoon, Lee Chong Sik, Seo Jeong-Sun

Abstract excerpt

BACKGROUND: Low-pass sequencing (LPS) has been extensively investigated for applicability to various genetic studies due to its advantages over genotype array data including cost-effectiveness. Predicting the risk of complex diseases such as Parkinson's disease (PD) using polygenic risk score (PRS) based on the genetic variations has shown decent prediction accuracy. Although ultra-LPS has been shown to be...

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Identifiers

PMID: 34454617
DOI: 10.1186/s40246-021-00357-w
PMCID: PMC8403377

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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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