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Article

A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease.

European journal of human genetics : EJHG - 1 Feb 2024

Norland Kristjan, Schaid Daniel J, Kullo Iftikhar J

Abstract excerpt

Polygenic scores (PGS) for coronary heart disease (CHD) are constructed using GWAS summary statistics for CHD. However, pleiotropy is pervasive in biology and disease-associated variants often share etiologic pathways with multiple traits. Therefore, incorporating GWAS summary statistics of additional traits could improve the performance of PGS for CHD. Using lasso regression models, we developed two multi-PGS...

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Identifiers

PMID: 37752310
DOI: 10.1038/s41431-023-01463-0
PMCID: PMC10853172

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-08.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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