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A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease - European Journal of Human Genetics

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A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease - European Journal of Human Genetics

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.

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A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease - European Journal of Human Genetics

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A linear weighted combination of polygenic scores for a broad range of traits improves prediction of coronary heart disease - European Journal of Human Genetics

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