Evidence map›Paper›PMID 32145261›Full record

ArticleJournal of hepatology2020

A common variant in PNPLA3 is associated with age at diagnosis of NAFLD in patients from a multi-ethnic biobank.

Ryan W Walker, Gillian M Belbin, Elena P Sorokin, Tielman Van Vleck, Genevieve L Wojcik, Arden Moscati, Christopher R Gignoux, Judy Cho, Noura S Abul-Husn, Girish Nadkarni and 2 more

Open access · greenAbstract read
In one paragraph

Article in Journal of hepatology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed
4.9field-weighted citation impact, top 4% 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

42 citing papers in PubMed, 58 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Multiscale Analysis of PNPLA2 and PNPLA3 Membrane Targeting.bioRxiv : the preprint server for biology · 2026
    Article
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Targeting PNPLA3 to Treat MASH and MASH Related Fibrosis and Cirrhosis.Liver international : official journal of the International Association for the Study of the Liver · 2025
    Review
  13. International journal of molecular sciences · 2025
    Article
  14. Article
  15. Review
  16. Article
  17. Article
  18. MASLD: What We Have Learned and Where We Need to Go-A Call to Action.Radiographics : a review publication of the Radiological Society of North America, Inc · 2024
    Review
  19. Review
  20. Age, BMI, and Type 2 Diabetes Modify the Relationship Between PNPLA3 and Advanced Fibrosis in Children and Adults With NAFLD.Clinical gastroenterology and hepatology : the official clinical practice journal of the American Gastroenterological Association · 2024
    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

12 authors at 5 institutions in 1 country.

Ryan W WalkerThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA. Electronic address: ryan.walker@mssm.edu.
Gillian M BelbinThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Elena P SorokinDepartment of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA.
Tielman Van VleckThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Genevieve L WojcikDepartment of Genetics, Stanford School of Medicine, Stanford University, Stanford, CA, USA.
Arden MoscatiThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Christopher R GignouxCenter for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Colorado Center for Personalized Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA; Department of Biostatistics, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Judy ChoThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Gastroenterology, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Noura S Abul-HusnThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Girish NadkarniThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Eimear E KennyThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Center for Genomic Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Ruth J F LoosThe Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA; The Mindich Child Health Development Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
Icahn School of Medicine at Mount Sinai · USGenomic Health (United States) · USStanford University · USChild Health and Development Institute · USUniversity of Colorado Anschutz Medical Campus · US

Funding

New York Center for Collaborative Research In Common Disease Genomics: Genome Aggregation and Joint Variant Calling for CCDG Freeze2UM1HG008901 · NHGRI · NEW YORK GENOME CENTER · PI MANIATIS, THOMAS P, WIGLER, MICHAEL H · 2016 to 2020
$56.6M
New Approaches for Empowering Studies of Asthma in Populations of African DescentR01HL104608 · NHLBI · UNIVERSITY OF COLORADO DENVER · PI BARNES, KATHLEEN C, KENNY, EIMEAR ELIZABETH · 2011 to 2022
$23.1M
The Mount Sinai Transdisciplinary Center on Early Environmental ExposuresP30ES023515 · NIEHS · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI Manish Arora · 2014 to 2026
$21.3M
Incorporating genomics into the clinical care of diverse NYC childrenU01HG009610 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI GELB, BRUCE D, HOROWITZ, CAROL R · 2017 to 2021
$17.0M
Cell Interactions in the Inflamed Intestinal MucosaR01DK075787 · NIDDK · BOSTON CHILDREN'S HOSPITAL · PI JOEL N HIRSCHHORN · 2007 to 2026
$13.1M
Research Training Program in Pediatric ExposomicsT32HD049311 · NICHD · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KECIA Nicole CARROLL, Robert O Wright · 2007 to 2026
$7.4M
PAGE III: Population Architecture using Genomics and EpidemiologyR01HG010297 · NHGRI · RUTGERS, THE STATE UNIV OF N.J. · PI GIGNOUX, CHRISTOPHER R, MATISE, TARA C. · 2019 to 2022
$6.5M
Hispanic Latino Lipid ConsortiumR01HL142302 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Jennifer Below, JOSEPH MCCORMICK · 2018 to 2026
$5.8M
Optimizing imputation for diverse populations in a distributed frameworkU01HG009080 · NHGRI · STANFORD UNIVERSITY · PI KENNY, EIMEAR ELIZABETH · 2016 to 2020
$5.2M
Diverse ancestry biobank to map biomedical traits and elucidate health disparitieU01HG007417 · NHGRI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2013 to 2017
$3.5M
Study of coding variants in human obesity and their functional characterization using human iPSC-derived cellular modelsR01DK110113 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2016 to 2020
$2.8M
Search for obesity-associated genes with protective effects on metabolic healthR01DK107786 · NIDDK · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI LOOS, RUTH JF · 2017 to 2020
$2.3M
NHGRI NIH HHS R01 HG010297NHGRI NIH HHS R56 HG010297NHGRI NIH HHS U01 HG007417NHGRI NIH HHS U01 HG009080NHGRI NIH HHS U01 HG009610NHGRI NIH HHS UM1 HG008901NHLBI NIH HHS R01 HL104608NHLBI NIH HHS R01 HL142302NICHD NIH HHS T32 HD049311NIDDK NIH HHS R01 DK075787NIDDK NIH HHS R01 DK101855NIDDK NIH HHS R01 DK107786NIDDK NIH HHS R01 DK110113NIEHS NIH HHS P30 ES023515NIH HHS S10 OD018522NIH HHS S10 OD026880
6 · The paper itself

Abstract

BACKGROUND &

aimsThe Ile138Met variant (rs738409) in the PNPLA3 gene has the largest effect on non-alcoholic fatty liver disease (NAFLD), increasing the risk of progression to severe forms of liver disease. It remains unknown if the variant plays a role in age of NAFLD onset. We aimed to determine if rs738409 impacts on the age of NAFLD diagnosis.

methodsWe applied a novel natural language processing (NLP) algorithm to a longitudinal electronic health records (EHR) dataset of >27,000 individuals with genetic data from a multi-ethnic biobank, defining NAFLD cases (n = 1,703) and confirming controls (n = 8,119). We conducted i) a survival analysis to determine if age at diagnosis differed by rs738409 genotype, ii) a receiver operating characteristics analysis to assess the utility of the rs738409 genotype in discriminating NAFLD cases from controls, and iii) a phenome-wide association study (PheWAS) between rs738409 and 10,095 EHR-derived disease diagnoses.

resultsThe PNPLA3 G risk allele was associated with: i) earlier age of NAFLD diagnosis, with the strongest effect in Hispanics (hazard ratio 1.33; 95% CI 1.15-1.53; p <0.0001) among whom a NAFLD diagnosis was 15% more likely in risk allele carriers vs. non-carriers; ii) increased NAFLD risk (odds ratio 1.61; 95% CI 1.349-1.73; p <0.0001), with the strongest effect among Hispanics (odds ratio 1.43; 95% CI 1.28-1.59; p <0.0001); iii) additional liver diseases in a PheWAS (p <4.95 × 10

conclusionGiven the role of the rs738409 in NAFLD diagnosis age, our results suggest that stratifying risk within populations known to have an enhanced risk of liver disease, such as Hispanic carriers of the rs738409 variant, would be effective in earlier identification of those who would benefit most from early NAFLD prevention and treatment strategies. LAY SUMMARY: Despite clear associations between the PNPLA3 rs738409 variant and elevated risk of progression from non-alcoholic fatty liver disease (NAFLD) to more severe forms of liver disease, it remains unknown if PNPLA3 rs738409 plays a role in the age of NAFLD onset. Herein, we found that this risk variant is associated with an earlier age of NAFLD and other liver disease diagnoses; an observation most pronounced in Hispanic Americans. We conclude that PNPLA3 rs738409 could be used to better understand liver disease risk within vulnerable populations and identify patients that may benefit from early prevention strategies.

Indexed as

Biological Specimen BanksPolymorphism, Single NucleotideAcyltransferasesAdolescentAdultAgedAged, 80 and overAge FactorsAllelesCase-Control StudiesChildChild, PreschoolElectronic Health RecordsFemaleGene FrequencyGenetic Predisposition to DiseaseAcyltransferasesLipaseMembrane ProteinsPhospholipases A2, Calcium-IndependentPNPLA3 protein, humanBiobankElectronic health recordGeneticHispanicNAFLDNatural language processingNon-alcoholic fatty liver diseasePhenome-wide association studyPheWASPNPLA3Survival

Identifiers

PMID32145261
PMCPMC7840172
OpenAlexW3009821608

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.