Polygenic Risk Scores

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چکیده

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Multiethnic polygenic risk scores improve risk prediction in diverse populations.

Methods for genetic risk prediction have been widely investigated in recent years. However, most available training data involves European samples, and it is currently unclear how to accurately predict disease risk in other populations. Previous studies have used either training data from European samples in large sample size or training data from the target population in small sample size, but...

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Modeling Linkage Disequilibrium Increases Accuracy of Polygenic Risk Scores.

Polygenic risk scores have shown great promise in predicting complex disease risk and will become more accurate as training sample sizes increase. The standard approach for calculating risk scores involves linkage disequilibrium (LD)-based marker pruning and applying a p value threshold to association statistics, but this discards information and can reduce predictive accuracy. We introduce LDp...

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Power and Predictive Accuracy of Polygenic Risk Scores

Polygenic scores have recently been used to summarise genetic effects among an ensemble of markers that do not individually achieve significance in a large-scale association study. Markers are selected using an initial training sample and used to construct a score in an independent replication sample by forming the weighted sum of associated alleles within each subject. Association between a tr...

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Effect of polygenic risk scores on depression in childhood trauma.

BACKGROUND Research on gene × environment interaction in major depressive disorder (MDD) has thus far primarily focused on candidate genes, although genetic effects are known to be polygenic. AIMS To test whether the effect of polygenic risk scores on MDD is moderated by childhood trauma. METHOD The study sample consisted of 1645 participants with a DSM-IV diagnosis of MDD and 340 screened ...

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Polygenic hazard scores in preclinical Alzheimer disease.

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ژورنال

عنوان ژورنال: Current Protocols

سال: 2021

ISSN: 2691-1299,2691-1299

DOI: 10.1002/cpz1.126