3
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Limited clinical utility for GWAS or polygenic risk score for postoperative acute kidney injury in non-cardiac surgery in European-ancestry patients

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Prior studies support a genetic basis for postoperative acute kidney injury (AKI). We conducted a genome-wide association study (GWAS), assessed the clinical utility of a polygenic risk score (PRS), and estimated the heritable component of AKI in patients who underwent noncardiac surgery.

          Methods

          We performed a retrospective large-scale genome-wide association study followed by a meta-analysis of patients who underwent noncardiac surgery at the Vanderbilt University Medical Center (“Vanderbilt” cohort) or Michigan Medicine, the academic medical center of the University of Michigan (“Michigan” cohort). In the Vanderbilt cohort, the relationship between polygenic risk score for estimated glomerular filtration rate and postoperative AKI was also tested to explore the predictive power of aggregating multiple common genetic variants associated with AKI risk. Similarly, in the Vanderbilt cohort genome-wide complex trait analysis was used to estimate the heritable component of AKI due to common genetic variants.

          Results

          The study population included 8248 adults in the Vanderbilt cohort (mean [SD] 58.05 [15.23] years, 50.2% men) and 5998 adults in Michigan cohort (56.24 [14.76] years, 49% men). Incident postoperative AKI events occurred in 959 patients (11.6%) and in 277 patients (4.6%), respectively. No loci met genome-wide significance in the GWAS and meta-analysis. PRS for estimated glomerular filtration rate explained a very small percentage of variance in rates of postoperative AKI and was not significantly associated with AKI (odds ratio 1.050 per 1 SD increase in polygenic risk score [95% CI, 0.971–1.134]). The estimated heritability among common variants for AKI was 4.5% (SE = 4.5%) suggesting low heritability.

          Conclusion

          The findings of this study indicate that common genetic variation minimally contributes to postoperative AKI after noncardiac surgery, and likely has little clinical utility for identifying high-risk patients.

          Supplementary Information

          The online version contains supplementary material available at 10.1186/s12882-022-02964-8.

          Related collections

          Most cited references42

          • Record: found
          • Abstract: found
          • Article: found

          KDIGO Clinical Practice Guidelines for Acute Kidney Injury

            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            GCTA: a tool for genome-wide complex trait analysis.

            For most human complex diseases and traits, SNPs identified by genome-wide association studies (GWAS) explain only a small fraction of the heritability. Here we report a user-friendly software tool called genome-wide complex trait analysis (GCTA), which was developed based on a method we recently developed to address the "missing heritability" problem. GCTA estimates the variance explained by all the SNPs on a chromosome or on the whole genome for a complex trait rather than testing the association of any particular SNP to the trait. We introduce GCTA's five main functions: data management, estimation of the genetic relationships from SNPs, mixed linear model analysis of variance explained by the SNPs, estimation of the linkage disequilibrium structure, and GWAS simulation. We focus on the function of estimating the variance explained by all the SNPs on the X chromosome and testing the hypotheses of dosage compensation. The GCTA software is a versatile tool to estimate and partition complex trait variation with large GWAS data sets.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: not found

              Comorbidity measures for use with administrative data.

              This study attempts to develop a comprehensive set of comorbidity measures for use with large administrative inpatient datasets. The study involved clinical and empirical review of comorbidity measures, development of a framework that attempts to segregate comorbidities from other aspects of the patient's condition, development of a comorbidity algorithm, and testing on heterogeneous and homogeneous patient groups. Data were drawn from all adult, nonmaternal inpatients from 438 acute care hospitals in California in 1992 (n = 1,779,167). Outcome measures were those commonly available in administrative data: length of stay, hospital charges, and in-hospital death. A comprehensive set of 30 comorbidity measures was developed. The comorbidities were associated with substantial increases in length of stay, hospital charges, and mortality both for heterogeneous and homogeneous disease groups. Several comorbidities are described that are important predictors of outcomes, yet commonly are not measured. These include mental disorders, drug and alcohol abuse, obesity, coagulopathy, weight loss, and fluid and electrolyte disorders. The comorbidities had independent effects on outcomes and probably should not be simplified as an index because they affect outcomes differently among different patient groups. The present method addresses some of the limitations of previous measures. It is based on a comprehensive approach to identifying comorbidities and separates them from the primary reason for hospitalization, resulting in an expanded set of comorbidities that easily is applied without further refinement to administrative data for a wide range of diseases.
                Bookmark

                Author and article information

                Contributors
                miklos.kertai@vumc.org
                Journal
                BMC Nephrol
                BMC Nephrol
                BMC Nephrology
                BioMed Central (London )
                1471-2369
                21 October 2022
                21 October 2022
                2022
                : 23
                : 339
                Affiliations
                [1 ]GRID grid.412807.8, ISNI 0000 0004 1936 9916, Department of Anesthesiology, , Vanderbilt University Medical Center, ; Nashville, TN USA
                [2 ]GRID grid.412807.8, ISNI 0000 0004 1936 9916, Department of Biomedical Informatics, , Vanderbilt University Medical Center, ; Nashville, TN USA
                [3 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Biostatistics, , University of Michigan, ; Ann Arbor, MI USA
                [4 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Anesthesiology, , University of Michigan, ; Ann Arbor, MI USA
                [5 ]GRID grid.214458.e, ISNI 0000000086837370, Institute of Healthcare Policy & Innovation, , University of Michigan, ; Ann Arbor, MI USA
                [6 ]GRID grid.214458.e, ISNI 0000000086837370, Division of Nephrology, Department of Internal Medicine, , University of Michigan, ; Ann Arbor, MI USA
                [7 ]GRID grid.214458.e, ISNI 0000000086837370, Department of Computational Medicine and Bioinformatics, , University of Michigan, ; Ann Arbor, MI USA
                [8 ]GRID grid.412807.8, ISNI 0000 0004 1936 9916, Department of Medicine, , Vanderbilt University Medical Center, ; Nashville, TN USA
                [9 ]Division of Nephrology and Hypertension, Vanderbilt Center for Kidney Disease (VCKD) and Integrated Program for AKI (VIP-AKI), Tennessee Valley Health System, Nashville Veterans Affairs Hospital, Nashville, TN USA
                [10 ]GRID grid.412807.8, ISNI 0000 0004 1936 9916, Vanderbilt O’Brien Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, , Vanderbilt University Medical Center, ; Nashville, TN USA
                [11 ]GRID grid.412807.8, ISNI 0000 0004 1936 9916, Division of Adult Cardiothoracic Anesthesiology, Department of Anesthesiology, , Vanderbilt University Medical Center, ; 1211 21st Avenue South, Medical Arts Building, Office 526E, Nashville, TN 37212 USA
                Article
                2964
                10.1186/s12882-022-02964-8
                9587619
                36271344
                417fce38-e3fe-4e63-b884-dce9c2f942a3
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 23 March 2022
                : 27 September 2022
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/100000092, U.S. National Library of Medicine;
                Award ID: LM010685-11
                Funded by: FundRef http://dx.doi.org/10.13039/100005831, Foundation for Anesthesia Education and Research;
                Funded by: FundRef http://dx.doi.org/10.13039/100000062, National Institute of Diabetes and Digestive and Kidney Diseases;
                Award ID: DK131346-01
                Funded by: FundRef http://dx.doi.org/10.13039/100000050, National Heart, Lung, and Blood Institute;
                Award ID: HL141701
                Funded by: FundRef http://dx.doi.org/10.13039/100000057, National Institute of General Medical Sciences;
                Award ID: GM130791
                Funded by: FundRef http://dx.doi.org/10.13039/100000968, American Heart Association;
                Award ID: 16FTF30130005
                Funded by: Veterans Affairs Health Service and Development Grant
                Award ID: SDR 18-194
                Funded by: Vanderbilt O’Brian Center Grants
                Award ID: P30-DK114809
                Funded by: Vanderbilt Institute for Clinical and Translation Research Grant
                Award ID: VR54975
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Nephrology
                acute kidney injury,genome-wide association study,polygenic risk score,surgery
                Nephrology
                acute kidney injury, genome-wide association study, polygenic risk score, surgery

                Comments

                Comment on this article