Literature DB >> 29789686

The personal and clinical utility of polygenic risk scores.

Ali Torkamani1,2, Nathan E Wineinger3,4, Eric J Topol3,5.   

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.

Mesh:

Year:  2018        PMID: 29789686     DOI: 10.1038/s41576-018-0018-x

Source DB:  PubMed          Journal:  Nat Rev Genet        ISSN: 1471-0056            Impact factor:   53.242


  365 in total

Review 1.  Complex Trait Prediction from Genome Data: Contrasting EBV in Livestock to PRS in Humans: Genomic Prediction.

Authors:  Naomi R Wray; Kathryn E Kemper; Benjamin J Hayes; Michael E Goddard; Peter M Visscher
Journal:  Genetics       Date:  2019-04       Impact factor: 4.562

Review 2.  Genetic Risk Scores.

Authors:  Robert P Igo; Tyler G Kinzy; Jessica N Cooke Bailey
Journal:  Curr Protoc Hum Genet       Date:  2019-12

3.  Screening Human Embryos for Polygenic Traits Has Limited Utility.

Authors:  Ehud Karavani; Or Zuk; Danny Zeevi; Nir Barzilai; Nikos C Stefanis; Alex Hatzimanolis; Nikolaos Smyrnis; Dimitrios Avramopoulos; Leonid Kruglyak; Gil Atzmon; Max Lam; Todd Lencz; Shai Carmi
Journal:  Cell       Date:  2019-11-21       Impact factor: 41.582

Review 4.  Polygenic Scores to Assess Atherosclerotic Cardiovascular Disease Risk: Clinical Perspectives and Basic Implications.

Authors:  Krishna G Aragam; Pradeep Natarajan
Journal:  Circ Res       Date:  2020-04-23       Impact factor: 17.367

5.  Separating Measured Genetic and Environmental Effects: Evidence Linking Parental Genotype and Adopted Child Outcomes.

Authors:  Benjamin W Domingue; Jason Fletcher
Journal:  Behav Genet       Date:  2020-04-30       Impact factor: 2.805

Review 6.  A systems approach to clinical oncology uses deep phenotyping to deliver personalized care.

Authors:  James T Yurkovich; Qiang Tian; Nathan D Price; Leroy Hood
Journal:  Nat Rev Clin Oncol       Date:  2019-10-16       Impact factor: 66.675

7.  Genome-wide association study of breakfast skipping links clock regulation with food timing.

Authors:  Hassan S Dashti; Jordi Merino; Jacqueline M Lane; Yanwei Song; Caren E Smith; Toshiko Tanaka; Nicola M McKeown; Chandler Tucker; Dianjianyi Sun; Traci M Bartz; Ruifang Li-Gao; Hoirun Nisa; Sirimon Reutrakul; Rozenn N Lemaitre; Tahani M Alshehri; Renée de Mutsert; Lydia Bazzano; Lu Qi; Kristen L Knutson; Bruce M Psaty; Dennis O Mook-Kanamori; Vesna Boraska Perica; Marian L Neuhouser; Frank A J L Scheer; Martin K Rutter; Marta Garaulet; Richa Saxena
Journal:  Am J Clin Nutr       Date:  2019-08-01       Impact factor: 7.045

Review 8.  Towards a Better Classification and Novel Therapies Based on the Genetics of Systemic Sclerosis.

Authors:  Marialbert Acosta-Herrera; Elena López-Isac; Javier Martín
Journal:  Curr Rheumatol Rep       Date:  2019-07-15       Impact factor: 4.592

Review 9.  African genetic diversity and adaptation inform a precision medicine agenda.

Authors:  Luisa Pereira; Leon Mutesa; Paulina Tindana; Michèle Ramsay
Journal:  Nat Rev Genet       Date:  2021-01-11       Impact factor: 53.242

10.  Trans Effects on Gene Expression Can Drive Omnigenic Inheritance.

Authors:  Xuanyao Liu; Yang I Li; Jonathan K Pritchard
Journal:  Cell       Date:  2019-05-02       Impact factor: 41.582

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