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Genetic predisposition may not improve prediction of cardiac surgery-associated acute kidney injury.
Douville, Nicholas J; Larach, Daniel B; Lewis, Adam; Bastarache, Lisa; Pandit, Anita; He, Jing; Heung, Michael; Mathis, Michael; Wanderer, Jonathan P; Kheterpal, Sachin; Surakka, Ida; Kertai, Miklos D.
Afiliação
  • Douville NJ; Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States.
  • Larach DB; Center for Computational Medicine and Bioinformatics, University of Michigan Health System, Ann Arbor, MI, United States.
  • Lewis A; Michigan Integrated Center for Health Analytics and Medical Prediction, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.
  • Bastarache L; Department of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Pandit A; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
  • He J; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Heung M; Center for Statistical Genetics and Precision Health Initiative, University of Michigan, Ann Arbor, MI, United States.
  • Mathis M; Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, United States.
  • Wanderer JP; Division of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, United States.
  • Kheterpal S; Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, United States.
  • Surakka I; Center for Computational Medicine and Bioinformatics, University of Michigan Health System, Ann Arbor, MI, United States.
  • Kertai MD; Michigan Integrated Center for Health Analytics and Medical Prediction, Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, United States.
Front Genet ; 14: 1094908, 2023.
Article em En | MEDLINE | ID: mdl-37124606
ABSTRACT

Background:

The recent integration of genomic data with electronic health records has enabled large scale genomic studies on a variety of perioperative complications, yet genome-wide association studies on acute kidney injury have been limited in size or confounded by composite outcomes. Genome-wide association studies can be leveraged to create a polygenic risk score which can then be integrated with traditional clinical risk factors to better predict postoperative complications, like acute kidney injury.

Methods:

Using integrated genetic data from two academic biorepositories, we conduct a genome-wide association study on cardiac surgery-associated acute kidney injury. Next, we develop a polygenic risk score and test the predictive utility within regressions controlling for age, gender, principal components, preoperative serum creatinine, and a range of patient, clinical, and procedural risk factors. Finally, we estimate additive variant heritability using genetic mixed models.

Results:

Among 1,014 qualifying procedures at Vanderbilt University Medical Center and 478 at Michigan Medicine, 348 (34.3%) and 121 (25.3%) developed AKI, respectively. No variants exceeded genome-wide significance (p < 5 × 10-8) threshold, however, six previously unreported variants exceeded the suggestive threshold (p < 1 × 10-6). Notable variants detected include 1) rs74637005, located in the exonic region of NFU1 and 2) rs17438465, located between EVX1 and HIBADH. We failed to replicate variants from prior unbiased studies of post-surgical acute kidney injury. Polygenic risk was not significantly associated with post-surgical acute kidney injury in any of the models, however, case duration (aOR = 1.002, 95% CI 1.000-1.003, p = 0.013), diabetes mellitus (aOR = 2.025, 95% CI 1.320-3.103, p = 0.001), and valvular disease (aOR = 0.558, 95% CI 0.372-0.835, p = 0.005) were significant in the full model.

Conclusion:

Polygenic risk score was not significantly associated with cardiac surgery-associated acute kidney injury and acute kidney injury may have a low heritability in this population. These results suggest that susceptibility is only minimally influenced by baseline genetic predisposition and that clinical risk factors, some of which are modifiable, may play a more influential role in predicting this complication. The overall impact of genetics in overall risk for cardiac surgery-associated acute kidney injury may be small compared to clinical risk factors.
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Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Temas: Geral Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Genet Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos