Evidence map›Paper›PMID 32100095›Full record

ReviewHuman genetics2020

Human genetics of HCV infection phenotypes in the era of direct-acting antivirals.

Pierre Nahon, Aurélie Cobat

Open access · hybridAbstract readReview
PubMed Publisher
In one paragraph

Review in Human genetics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

9 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. A review of historical landmarks and pioneering technologies for the diagnosis of Hepatitis C Virus (HCV).European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2025
    Review
  3. Review
  4. Article
  5. Article
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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

2 authors at 1 institution in 1 country.

Pierre NahonAP-HP, Hôpital Jean Verdier, Liver Unit, Bondy, France.
Aurélie CobatLaboratory of Human Genetics of Infectious Diseases, Necker Branch, INSERM U1163, Necker Hospital for Sick Children, Paris, France. aurelie.cobat@inserm.fr.ORCID http://orcid.org/0000-0001-7209-6257
Inserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent introduction of direct-acting antivirals (DAAs) has revolutionized hepatitis C virus (HCV) therapy by improving virus eradication rates to over 90% in most patient groups. However, the impact of DAAs on global disease burden is currently limited, and a large number of chronically infected individuals remain at risk of developing liver complications, such as liver cirrhosis and hepatocellular carcinoma (HCC). The identification of patients at risk of liver complications and a greater understanding of the biological mechanisms involved in HCV disease progression might improve disease control. Recent genome-wide association and exome sequencing studies have identified several host genetic variants influencing the progression of liver fibrosis and the development of HCC associated with HCV infection and are reviewed here. Interestingly, some of the genetic variants associated with those HCV-associated liver complications were also associated with the clinical course of non-viral chronic hepatitis. Future challenges include the incorporation of this genetic information into clinical risk models for personalized disease management and the study of emerging phenotypes such as liver fibrosis regression and HCC development after HCV eradication.

Indexed as

Human GeneticsPolymorphism, Single NucleotideAntiviral AgentsCarcinoma, HepatocellularDisease ProgressionGenome-Wide Association StudyHepacivirusHepatitis C, ChronicHumansLiver CirrhosisLiver NeoplasmsPhenotypeRisk FactorsAntiviral Agents

Identifiers

PMID32100095
OpenAlexW3007447774

What OpenQuestion holds

Textmetadata
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.