Evidence map›Paper›PMID 33310085›Full record

ArticleGastroenterology2021

Association of Genetic Variation With Cirrhosis: A Multi-Trait Genome-Wide Association and Gene-Environment Interaction Study.

Connor A Emdin, Mary Haas, Veeral Ajmera, Tracey G Simon, Julian Homburger, Cynthia Neben, Lan Jiang, Wei-Qi Wei, Qiping Feng, Alicia Zhou and 5 more

Open access · bronzeAbstract read
In one paragraph

Article in Gastroenterology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 77 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
77citing papers in PubMed, 6 pooled it
10.5field-weighted citation impact, top 1% 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

77 citing papers in PubMed, 6 syntheses or guidelines pooled it, 125 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Pooled it
  7. Article
  8. Age-Specific Associations of Polygenic Risk Scores With Advanced Fibrosis and Histological Activity in Biopsy-Proven MASLD.Liver international : official journal of the International Association for the Study of the Liver · 2026
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Review
  18. JHEP reports : innovation in hepatology · 2026
    Article
  19. Article
  20. Article

17 more citing papers are in PubMed but not listed here.

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

15 authors at 5 institutions in 1 country.

Connor A EmdinCenter for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts.
Mary HaasCenter for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts.
Veeral AjmeraNonalcoholic Fatty Liver Disease Research Center, Department of Medicine, University of California San Diego, La Jolla, California.
Tracey G SimonLiver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Julian HomburgerColor Genomics, Burlingame, California.
Cynthia NebenColor Genomics, Burlingame, California.
Lan JiangDepartment of Biomedical Informatics, Vanderbilt University, Vanderbilt, Tennessee.
Wei-Qi WeiDepartment of Biomedical Informatics, Vanderbilt University, Vanderbilt, Tennessee; Department of Medicine, Vanderbilt University, Vanderbilt, Tennessee.
Qiping FengDepartment of Medicine, Vanderbilt University, Vanderbilt, Tennessee.
Alicia ZhouColor Genomics, Burlingame, California.
Joshua DennyDepartment of Biomedical Informatics, Vanderbilt University, Vanderbilt, Tennessee; Department of Medicine, Vanderbilt University, Vanderbilt, Tennessee.
Kathleen CoreyLiver Center, Division of Gastroenterology, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts.
Rohit LoombaNonalcoholic Fatty Liver Disease Research Center, Department of Medicine, University of California San Diego, La Jolla, California.
Sekar KathiresanDepartment of Medicine, Harvard Medical School, Boston, Massachusetts; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Verve Therapeutics, Cambridge, Massachusetts.
Amit V KheraCenter for Genomic Medicine, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts; Department of Medicine, Harvard Medical School, Boston, Massachusetts; Program in Medical and Population Genetics, Broad Institute, Cambridge, Massachusetts; Cardiology Division, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts. Electronic address: avkhera@mgh.harvard.edu.
Vanderbilt University · USBroad Institute · USMassachusetts General Hospital · USUniversity of California San Diego · USHarvard University · US

Funding

Center for Common Disease GeneticsUM1HG008895 · NHGRI · BROAD INSTITUTE, INC. · PI DALY, MARK JOSEPH, GABRIEL, STACEY · 2016 to 2020
$111.2M
Exploring Statin Pleiotropic Effects within a Very Large EHR Cohort - Diversity SupplementR01HL133786 · NHLBI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI WEI, WEI-QI · 2017 to 2020
$1.7M
A Novel Multimodal Approach to Characterize NAFLD Severity and PrognosisK23DK119460 · NIDDK · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AJMERA, VEERAL HARESH · 2019 to 2023
$1.1M
Polygenic prediction of common, complex diseasesK08HG010155 · NHGRI · MASSACHUSETTS GENERAL HOSPITAL · PI KHERA, AMIT VIKRAM · 2018 to 2021
$1.1M
NHGRI NIH HHS K08 HG010155NHGRI NIH HHS UM1 HG008895NHLBI NIH HHS R01 HL133786NIDDK NIH HHS K23 DK119460
6 · The paper itself

Abstract

BACKGROUND &

aimsIn contrast to most other common diseases, few genetic variants have been identified that impact risk of cirrhosis. We aimed to identify new genetic variants that predispose to cirrhosis, to test whether such variants, aggregated into a polygenic score, enable genomic risk stratification, and to test whether alcohol intake or body mass index interacts with polygenic predisposition.

methodsWe conducted a multi-trait genome-wide association study combining cirrhosis and alanine aminotransferase levels performed in 5 discovery studies (UK Biobank, Vanderbilt BioVU, Atherosclerosis Risk in Communities study, and 2 case-control studies including 4829 individuals with cirrhosis and 72,705 controls and 362,539 individuals with alanine aminotransferase levels). Identified variants were replicated in 3 studies (Partners HealthCare Biobank, FinnGen, and Biobank Japan including 3554 individuals with cirrhosis and 343,826 controls). A polygenic score was tested in Partners HealthCare Biobank.

resultsFive previously reported and 7 newly identified genetic variants were associated with cirrhosis in both the discovery studies multi-trait genome-wide association study (P < 5 × 10

conclusionsTwelve independent genetic variants, 7 of which are newly identified in this study, conferred risk for cirrhosis. Aggregated into a polygenic score, these variants identified a subset of the population at substantially increased risk who are most susceptible to the hepatotoxic effects of excess alcohol consumption or obesity.

Indexed as

Gene-Environment InteractionGenetic VariationAdultAgedAge FactorsAlcohol DrinkingCase-Control StudiesComorbidityFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansLiver CirrhosisMaleMiddle AgedMultifactorial InheritanceChronic Liver DiseaseCirrhosisGeneticsGenome-Wide Association Study

Identifiers

PMID33310085
PMCPMC8035329
OpenAlexW3111390227

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.