Evidence map›Paper›PMID 36271344›Full record

SynthesisBMC nephrology2022

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

Daniel B Larach, Adam Lewis, Lisa Bastarache, Anita Pandit, Jing He, Anik Sinha, Nicholas J Douville, Michael Heung, Michael R Mathis, Jonathan D Mosley and 7 more

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMC nephrology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 20% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

17 authors at 3 institutions in 1 country.

Daniel B LarachDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Adam Lewis *Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Lisa Bastarache *Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Anita Pandit *Department of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Jing HeDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Anik SinhaDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Nicholas J DouvilleDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Michael HeungDivision of Nephrology, Department of Internal Medicine, University of Michigan, Ann Arbor, MI, USA.
Michael R MathisDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Jonathan D MosleyDepartment of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
Jonathan P WandererDepartment of Anesthesiology, Vanderbilt University Medical Center, Nashville, TN, USA.
Sachin KheterpalDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Matthew ZawistowskiDepartment of Biostatistics, University of Michigan, Ann Arbor, MI, USA.
Chad M BrummettDepartment of Anesthesiology, University of Michigan, Ann Arbor, MI, USA.
Edward D SiewDivision 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.
Cassianne Robinson-CohenVanderbilt O'Brien Kidney Center, Division of Nephrology and Hypertension, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN, USA.
Miklos D KertaiDivision of Adult Cardiothoracic Anesthesiology, Department of Anesthesiology, Vanderbilt University Medical Center, 1211 21st Avenue South, Medical Arts Building, Office 526E, Nashville, TN, 37212, USA. miklos.kertai@vumc.org.
University of Michigan–Ann Arbor · USVanderbilt University Medical Center · USValley Health System · US

Funding

From GWAS to PheWAS: Scanning the EMR Phenome for Gene-disease AssociationsR01LM010685 · NLM · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BASTARACHE, LISA · 2011 to 2022
$6.3M
Vanderbilt O'Brien Kidney Center - Core D - Clinical and Translational CoreP30DK114809 · NIDDK · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WILSON, MATTHEW H · 2017 to 2021
$5.9M
TIPS: Training in Perioperative ScienceT32GM108554 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Eric J Delpire · 2014 to 2026
$3.7M
Leveraging common genetic variation to reduce misclassification of non-diseased individuals and unnecessary health care utilization attributable to surrogate biomarkersR01GM130791 · NIGMS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI MOSLEY, JONATHAN DAVID · 2019 to 2023
$2.3M
Modular Automated -80C Sample Storage SystemS10OD025092 · OD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GOLDENRING, JAMES RICHARD · 2019 to 2019
$2.0M
Early Diagnosis of Heart Failure: A Perioperative Data-Driven ApproachK01HL141701 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI MATHIS, MICHAEL ROBERT · 2018 to 2022
$862k
Predicting Postoperative Acute Kidney Injury through Integration of Genetics and Electronic Health RecordsK08DK131346 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Nicholas J Douville · 2022 to 2026
$839k
HSRD VA I01 HX002489NHLBI NIH HHS K01 HL141701NIDDK NIH HHS K08 DK131346NIDDK NIH HHS P30 DK114809NIGMS NIH HHS R01 GM130791NIGMS NIH HHS T32 GM108554NIH HHS S10 OD025092NLM NIH HHS R01 LM010685
6 · The paper itself

Abstract

backgroundPrior 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.

methodsWe 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.

resultsThe 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.

conclusionThe 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.

Indexed as

Acute Kidney InjuryGenome-Wide Association StudyAdultFemaleGlomerular Filtration RateHumansMalePostoperative ComplicationsRetrospective StudiesRisk FactorsAcute kidney injuryGenome-wide association studyPolygenic risk scoreSurgery

Identifiers

PMID36271344
PMCPMC9587619
OpenAlexW4307022293

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.