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Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Scientific Reports

Feb 2, 2017

Hon-Cheong So, Pak C Sham

Abstract

Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS...read more

Mentioned in this Paper

Biological Markers
Metabolic Process, Cellular
Genome-Wide Association Study
Area Under Curve
In Silico
Size
Genome
Weighing Patient
Incidence Studies
Genomics
10
99
1
Paper Details
References
  • References18
  • Citations5
12

Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Scientific Reports

Feb 2, 2017

Hon-Cheong So, Pak C Sham

PMID: 28145530

DOI: 10.1038/srep41262

Abstract

Polygenic risk scores (PRS) from genome-wide association studies (GWAS) are increasingly used to predict disease risks. However some included variants could be false positives and the raw estimates of effect sizes from them may be subject to selection bias. In addition, the standard PRS...read more

Mentioned in this Paper

Biological Markers
Metabolic Process, Cellular
Genome-Wide Association Study
Area Under Curve
In Silico
Size
Genome
Weighing Patient
Incidence Studies
Genomics
10
99
1
Paper Details
References
  • References18
  • Citations5
12
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