Evidence map›Paper›PMID 32841307›Full record

ArticlePloS one2020

Validating a non-invasive, ALT-based non-alcoholic fatty liver phenotype in the million veteran program.

Marina Serper, Marijana Vujkovic, David E Kaplan, Rotonya M Carr, Kyung Min Lee, Qing Shao, Donald R Miller, Peter D Reaven, Lawrence S Phillips, Christopher J O'Donnell and 19 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 10% 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

16 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  4. Integrating PNPLA3 into clinical risk prediction.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
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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

29 authors at 15 institutions in 1 country.

Marina SerperCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-4899-2160
Marijana VujkovicCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-4924-5714
David E KaplanCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-3839-336X
Rotonya M CarrCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.
Kyung Min LeeCenter for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts, United States of America.
Qing ShaoCenter for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts, United States of America.
Donald R MillerCenter for Healthcare Organization and Implementation Research, Edith Nourse Rogers Memorial Veterans Hospital, Bedford, Massachusetts, United States of America.
Peter D ReavenPhoenix VA Health Care System, Phoenix, Arizona, United States of America.
Lawrence S PhillipsDepartment of Veterans Affairs, Atlanta Health Care System, Decatur, Georgia, United States of America.
Christopher J O'DonnellMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States of America.
James B MeigsMassachusetts General Hospital, Harvard Medical School and the Broad Institute, Boston, Massachusetts, United States of America.ORCID 0000-0002-2439-2657
Peter W F WilsonDepartment of Veterans Affairs, Atlanta Health Care System, Decatur, Georgia, United States of America.
Rachel Vickers-SmithUniversity of Louisville, Louisville, Kentucky, United States of America.ORCID 0000-0002-7224-8916
Henry R KranzlerUniversity of Louisville, Louisville, Kentucky, United States of America.
Amy C JusticeYale School of Medicine, New Haven, Connecticut, United States of America.
John M GazianoMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Sumitra MuralidharOffice of Research and Development, Veterans Health Administration, Washington, DC, United States of America.
Saiju PyarajanMassachusetts Veterans Epidemiology Research and Information Center, VA Boston Healthcare System, Boston, Massachusetts, United States of America.
Scott L DuVallVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, United States of America.
Themistocles L AssimesDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.ORCID 0000-0003-2349-0009
Jennifer S LeeDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Philip S TsaoDepartment of Medicine, Stanford University School of Medicine, Stanford, California, United States of America.
Daniel J RaderDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Scott M DamrauerCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.
Julie A LynchVA Informatics and Computing Infrastructure, VA Salt Lake City Health Care System, Salt Lake City, Utah, United States of America.
Danish SaleheenCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.
Benjamin F VoightCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0002-6205-9994
Kyong-Mi ChangCorporal Michael J. Crescenz VA Medical Center, Philadelphia, Pennsylvania, United States of America.
VA Million Veteran Program
Philadelphia VA Medical Center · USVA Palo Alto Health Care System · USBoston University · USBrigham and Women's Hospital · USEdith Nourse Rogers Memorial Veterans Hospital · USEmory University · USUniversity of Louisville · USBroad Institute · USCardiovascular Institute of the South · USPhoenix VA Health Care System · USTranslational Therapeutics (United States) · USUniversity of Massachusetts Boston · USUniversity of Utah · USVeterans Health Administration · USYale University · US

Funding

TOPMed Omics of Type 2 Diabetes and Quantitative TraitsUM1DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MANNING, ALISA KNODLE · 2021 to 2025
$3.8M
Rare Sequence Variation and Diabetes Quantitative TraitsU01DK078616 · NIDDK · MASSACHUSETTS GENERAL HOSPITAL · PI MEIGS, JAMES B · 2015 to 2019
$3.6M
Network-based algorithms for target identification and drug repositioning from genetic associationsR01HG010067 · NHGRI · UNIVERSITY OF PENNSYLVANIA · PI GREENE, CASEY S · 2018 to 2022
$3.2M
Molecular Mechanisms Of Post-Transplant Recurrent Alcoholic Liver DiseaseR01AA026302 · NIAAA · UNIVERSITY OF WASHINGTON · PI ROTONYA M CARR · 2017 to 2026
$3.2M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Developing technology-based approaches to improve access and quality of care in cirrhosisK23DK115897 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI SERPER, MARINA · 2018 to 2022
$961k
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR56DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2019 to 2019
$272k
Diabetic Complications and Genetic Variants in the Million Veterans ProgramI01CX001737 · VA · VETERANS HEALTH ADMINISTRATION · PI PHILLIPS, LAWRENCE S · 2019 to 2023
–
Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
BLRD VA I01 BX003362BLRD VA I01 BX005831CSRD VA I01 CX001737CSRD VA IK2 CX001780NHGRI NIH HHS R01 HG010067NIAAA NIH HHS R01 AA026302NIDDK NIH HHS K23 DK115897NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478NIDDK NIH HHS U01 DK078616NIDDK NIH HHS UM1 DK078616
6 · The paper itself

Abstract

BACKGROUND &

aimsGiven ongoing challenges in non-invasive non-alcoholic liver disease (NAFLD) diagnosis, we sought to validate an ALT-based NAFLD phenotype using measures readily available in electronic health records (EHRs) and population-based studies by leveraging the clinical and genetic data in the Million Veteran Program (MVP), a multi-ethnic mega-biobank of US Veterans.

methodsMVP participants with alanine aminotransferases (ALT) >40 units/L for men and >30 units/L for women without other causes of liver disease were compared to controls with normal ALT. Genetic variants spanning eight NAFLD risk or ALT-associated loci (LYPLAL1, GCKR, HSD17B13, TRIB1, PPP1R3B, ERLIN1, TM6SF2, PNPLA3) were tested for NAFLD associations with sensitivity analyses adjusting for metabolic risk factors and alcohol consumption. A manual EHR review assessed performance characteristics of the NAFLD phenotype with imaging and biopsy data as gold standards. Genetic associations with advanced fibrosis were explored using FIB4, NAFLD Fibrosis Score and platelet counts.

resultsAmong 322,259 MVP participants, 19% met non-invasive criteria for NAFLD. Trans-ethnic meta-analysis replicated associations with previously reported genetic variants in all but LYPLAL1 and GCKR loci (P<6x10-3), without attenuation when adjusted for metabolic risk factors and alcohol consumption. At the previously reported LYPLAL1 locus, the established genetic variant did not appear to be associated with NAFLD, however the regional association plot showed a significant association with NAFLD 279kb downstream. In the EHR validation, the ALT-based NAFLD phenotype yielded a positive predictive value 0.89 and 0.84 for liver biopsy and abdominal imaging, respectively (inter-rater reliability (Cohen's kappa = 0.98)). HSD17B13 and PNPLA3 loci were associated with advanced fibrosis.

conclusionsWe validate a simple, non-invasive ALT-based NAFLD phenotype using EHR data by leveraging previously established NAFLD risk-associated genetic polymorphisms.

Indexed as

17-Hydroxysteroid DehydrogenasesAbdomenAcyltransferasesAdaptor Proteins, Signal TransducingAgedAlanine TransaminaseElectronic Health RecordsFemaleGenetic LociGenetic Predisposition to DiseaseGenetic VariationHumansLipaseLiverLysophospholipaseMale17-Hydroxysteroid DehydrogenasesAcyltransferasesAdaptor Proteins, Signal TransducingAlanine TransaminaseGCKR protein, humanHSD17B13 protein, humanLipaseLYPLAL1 protein, humanLysophospholipaseMembrane ProteinsPhospholipases A2, Calcium-IndependentPNPLA3 protein, human

Identifiers

PMID32841307
PMCPMC7447043
OpenAlexW3080970123

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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.