Evidence map›Paper›PMID 19812435›Full record

ReviewAntiviral therapy2009

Host genetics influences on HIV type-1 disease.

Jacques Fellay

Open access · greenAbstract readReview
In one paragraph

Review in Antiviral therapy, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 31 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Genome-wide association study reveals genetic variants associated with HIV-1C infection in a Botswana study population.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  5. 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

1 author at 1 institution in 1 country.

Jacques FellayCenter for Human Genome Variation, Institute for Genome Sciences & Policy, Duke University, Durham, NC, USA. jcf20@duke.edu
Duke University · US

Funding

Viral Sequencing CoreU19AI067854 · NIAID · DUKE UNIVERSITY · PI CRUMP, JOHN ANDREW · 2006 to 2011
$290.5M
NIAID NIH HHS U19 AI067854
6 · The paper itself

Abstract

HIV host genetic studies seek to describe as comprehensively as possible the effect of human genetic variation on the individual response to HIV type-1 (HIV-1) infection. Many associations between specific gene variants and HIV-1 disease outcomes have been reported over the past 15 years. Although most of them have yet to be confirmed or have been proven false-positives, the identification of several definitive genotype-phenotype associations has shed new light on HIV-1 pathogenesis. This review discusses these results in the context of the new genome-wide approaches that now make it possible to globally assess the influence of the host genome on HIV-1-related outcomes.

Indexed as

Genetic Predisposition to DiseaseHIV-1HIV InfectionsHumans

Identifiers

PMID19812435
PMCPMC2851194
OpenAlexW1986139739

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.