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Konuma and Okada Inflammation and Regeneration           (2021) 41:18                    Page 4 of 5





            genetic background by population stratification remains  Conclusions
            unclear. In another example, considerable differences of  In this review, we focused on recent advances, utilities,
            PRSs between the non-mainlanders and mainlanders in  and perspectives of PRS. The predictive accuracy of PRS
            Japan were reported [26]. In this report, PRS of BMI  will continue to be improved by more extensive and
            showed that the smaller BMI PRS was observed in non-  diverse cohorts to construct PRS models and improve
            mainlanders, although the greater BMI was observed in  methods for PRS derivation and application. Although
            non-mainlanders. This difference is assumed to be a re-  further improvements of its comprehensiveness and
            sult of sudden changes in environmental factors which  generalizability would be needed for its clinical imple-
            affected non-mainlanders’ BMI in the non-mainland that  mentation in the future, the potential clinical impacts
            preceded the reflection of genomic structure in response  and benefits of the PRS have been proposed and dis-
            to these environmental changes. From these examples,  cussed. For example, PRS-informed clinical intervention,
            the PRS could be susceptible to population structure’s  PRS-informed disease screening, and PRS-informed life
            geographical distributions, even within a relatively  planning were proposed as the potential clinical benefits
            homogeneous population.                           [5]. Also, individual PRS measurement only needs its
              Third, given the numerous available models of PRS, it  genome sequence, which could be taken once at a rela-
            remains unclear which method is the most suitable for  tively low cost, and PRS will be potentially applied for
            predicting the risks of diseases or traits. It was reported  various diseases and traits. PRS will guide therapeutic in-
            that when categorizing the existing 15 PRS methods into  terventions and lifestyle recommendations in several dis-
            three groups, which consisted of (1) simple methods that  eases. Thus, it might ultimately improve the health of an
            selected variants below a p-value limit and within a LD  entire population in the future.
            range, (2) complex methods that selected variants by
            attempting to approximate the results of a mixed-model  Abbreviations
                                                              PRS: Polygenic risk score; SNP: Single nucleotide polymorphism;
            approach, and (3) ensemble methods created by taking
                                                              GWAS: Genome-wide association study; AUC: Area under the curve;
            an average of the top five PRSs weighted by their coeffi-  ER: Estrogen receptor; BMI: Body mass index
            cients in a cross-validated logistic regression, it was
            shown that the simple methods generated slightly more  Acknowledgements
                                                              Not applicable.
            accurate PRSs than did the complex methods [27]. Fur-
            ther insight into the characterization of PRS models will  Authors’ contributions
            be needed to evaluate and compare these predictive per-  T.K. wrote the manuscripts. Y.O. supervised the review. The authors read and
            formances. Comparable performance metrics of these  approved the final manuscript.
            PRS models would need to be systematically evaluated.
                                                              Funding
            For example, the PGS Catalog [28], an open resource for  This study was supported by the Japan Society for the Promotion of Science
            PRSs that has been reported recently, enables PRS ana-  (JSPS) KAKENHI (19H01021 and 20 K21834) and AMED (JP20km0405211,
            lysis in a standardized format along with consistent  JP20ek0109413, JP20ek0410075, JP20gm4010006, and 20 km0405217), Takeda
                                                              Science Foundation, and Bioinformatics Initiative of Osaka University
            metadata and direct comparison between scores.    Graduate School of Medicine, Osaka University. T.K. is an employee of Japan
              Fourth, the prospect of clinical use of PRS is associated  Tobacco Inc.
            with a wide variety of ELSI (ethical, legal, and social im-
                                                              Availability of data and materials
            plications) concerns, which have been also discussed in
                                                              Not applicable.
            the context of monogenic genetic results and is also
            present in the polygenic context [29]. One of the ELSI  Declarations
            concerns about PRS is the relevance of findings of PRS
                                                              Ethics approval and consent to participate
            to family members. Genetic variation is shared in fam-
                                                              Not applicable.
            ilies and the PRS of first-degree family members are cor-
            related [30], but this information is not as clear as in the  Consent for publication
            monogenic genetic results. Guidelines developed by pro-  Not applicable.
            fessional societies would be needed for both patients and
                                                              Competing interests
            providers for prompt warning about the polygenic risk
                                                              The authors declare that they have no competing interests.
            to family members. Other examples of the ELSI con-
            cerns about PRS are risk of psychosocial harms, false re-  Author details
                                                              1 Department of Statistical Genetics, Osaka University Graduate School of
            assurance, and overdiagnosis and overtreatment, which                           2
                                                              Medicine, 2-2 Yamadaoka, Suita 565-0871, Japan. Central Pharmaceutical
            are typically considered in the monogenic genetic  Research Institute, Japan Tobacco Inc., Takatsuki 569-1125, Japan. Laboratory
                                                                                                      3
            results. Further research for whether the harms of false  of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC),
                                                                                      4
                                                              Osaka University, Suita 565-0871, Japan. Integrated Frontier Research for
            reassurance, overtreatment and overdiagnosis materialize
                                                              Medical Science Division, Institute for Open and Transdisciplinary Research
            would be needed.                                  Initiatives, Osaka University, Suita 565-0871, Japan.
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