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Journal ArticleDOI

The personal and clinical utility of polygenic risk scores.

TLDR
The authors review recent studies that have demonstrated the utility of polygenic risk scores for disease risk stratification and their potential impact on early disease detection, prevention, therapeutic intervention and life planning.
Abstract
Initial expectations for genome-wide association studies were high, as such studies promised to rapidly transform personalized medicine with individualized disease risk predictions, prevention strategies and treatments. Early findings, however, revealed a more complex genetic architecture than was anticipated for most common diseases - complexity that seemed to limit the immediate utility of these findings. As a result, the practice of utilizing the DNA of an individual to predict disease has been judged to provide little to no useful information. Nevertheless, recent efforts have begun to demonstrate the utility of polygenic risk profiling to identify groups of individuals who could benefit from the knowledge of their probabilistic susceptibility to disease. In this context, we review the evidence supporting the personal and clinical utility of polygenic risk profiling.

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Citations
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Journal ArticleDOI

2021 ESC Guidelines on cardiovascular disease prevention in clinical practice

Frank L.J. Visseren, +105 more
Journal ArticleDOI

Clinical use of current polygenic risk scores may exacerbate health disparities.

TL;DR: To realize the full and equitable potential of polygenic risk scores, greater diversity must be prioritized in genetic studies, and summary statistics must be publically disseminated to ensure that health disparities are not increased for those individuals already most underserved.
Journal ArticleDOI

Benefits and limitations of genome-wide association studies.

TL;DR: This Review comprehensively assess the benefits and limitations of GWAS in human populations and discusses the relevance of performing more GWAS, with a focus on the cardiometabolic field.
Journal ArticleDOI

Tutorial: a guide to performing polygenic risk score analyses.

TL;DR: This review presents comprehensive guidelines for performing and evaluating PRS analyses, and outlines standard quality control steps, different methods for the calculation of PRSs, and provides an introductory online tutorial that takes users through quality control and visualization steps.

The genetic architecture of type 2 diabetes

Christian Fuchsberger, +300 more
TL;DR: Large-scale sequencing does not support the idea that lower-frequency variants have a major role in predisposition to type 2 diabetes, but most fell within regions previously identified by genome-wide association studies.
References
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Journal ArticleDOI

Systematic Review: Process of Forming Academic Service Partnerships to Reform Clinical Education

TL;DR: This study’s findings can provide practical guidelines to steer partnership programs within the academic and clinical bodies, with the aim of providing a collaborative partnership approach to clinical education.
Journal ArticleDOI

Systematic review and meta-analysis

TL;DR: In this review the usual methods applied in systematic reviews and meta-analyses are outlined, and the most common procedures for combining studies with binary outcomes are described, illustrating how they can be done using Stata commands.
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Genome-wide association study of 14,000 cases of seven common diseases and 3,000 shared controls

Paul Burton, +195 more
- 07 Jun 2007 - 
TL;DR: This study has demonstrated that careful use of a shared control group represents a safe and effective approach to GWA analyses of multiple disease phenotypes; generated a genome-wide genotype database for future studies of common diseases in the British population; and shown that, provided individuals with non-European ancestry are excluded, the extent of population stratification in theBritish population is generally modest.
Journal ArticleDOI

The Future of Genetic Studies of Complex Human Diseases

TL;DR: The identification of the genetic basis of complex human diseases such as schizophrenia and diabetes has proven difficult as mentioned in this paper, and Risch and Merikangas proposed that they can best accomplish this goal by combining the power of the human genome project with association studies.
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