Evidence map›Paper›PMID 28182649›Full record

ArticlePLoS computational biology2017

Estimating the Respective Contributions of Human and Viral Genetic Variation to HIV Control.

István Bartha, Paul J McLaren, Chanson Brumme, Richard Harrigan, Amalio Telenti, Jacques Fellay

Abstract read
In one paragraph

Article in PLoS computational biology, 2017. 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
–field-weighted citation impact
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.

  1. Trial
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Immune Control of HIV.Journal of life sciences (Westlake Village, Calif.) · 2019
    Article
  11. Two-way mixed-effects methods for joint association analysis using both host and pathogen genomes.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. Review
  13. Article
  14. Review
  15. Article
  16. Review
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

6 authors.

István BarthaSchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.
Paul J McLarenNational HIV and Retrovirology Laboratory, Public Health Agency of Canada, Winnipeg, Manitoba, Canada.ORCID 0000-0001-6019-7018
Chanson BrummeBC Centre for Excellence in HIV/AIDS, University of British Columbia, Vancouver, British Columbia, Canada.
Richard HarriganBC Centre for Excellence in HIV/AIDS, University of British Columbia, Vancouver, British Columbia, Canada.
Amalio TelentiGenomic Medicine Group, J. Craig Venter Institute, La Jolla, California, United States of America.ORCID 0000-0001-6290-7677
Jacques FellaySchool of Life Sciences, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland.ORCID 0000-0002-8240-939X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We evaluated the fraction of variation in HIV-1 set point viral load attributable to viral or human genetic factors by using joint host/pathogen genetic data from 541 HIV infected individuals. We show that viral genetic diversity explains 29% of the variation in viral load while host factors explain 8.4%. Using a joint model including both host and viral effects, we estimate a total of 30% heritability, indicating that most of the host effects are reflected in viral sequence variation.

Indexed as

Models, GeneticAIDS VaccinesGenetic Association StudiesGenetic Predisposition to DiseaseGenetic VariationGenome, HumanGenome, ViralHIVHIV InfectionsHost-Pathogen InteractionsHumansViral LoadAIDS Vaccines

Identifiers

PMID28182649
PMCPMC5300119

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.