Evidence map›Paper›PMID 24583618›Full record

ReviewJournal of acquired immune deficiency syndromes (1999)2014

Genetic, transcriptomic, and epigenetic studies of HIV-associated neurocognitive disorder.

Andrew J Levine, Stella E Panos, Steve Horvath

Abstract readReview
In one paragraph

Review in Journal of acquired immune deficiency syndromes (1999), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
1.1field-weighted citation impact, top 24% 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

18 citing papers in PubMed, 25 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Andrew J Levine*Department of Neurology, National Neurological AIDS Bank, David Geffen School of Medicine, University of California, Los Angeles, CA; †Department of Psychiatry and Biobehavioral Science, David Geffen School of Medicine, University of California, Los Angeles, CA; ‡Department of Human Genetics, David Geffen School of Medicine, University of California, Los Angeles, CA; and §Department of Biostatistics, University of California, Los Angeles, CA.
Stella E Panos
Steve Horvath
University of California, Los Angeles · USNeurobehavioral Systems · US

Funding

UCLA Clinical and Translational Science InstituteUL1TR000124 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI DUBINETT, STEVEN M. · 2012 to 2015
$57.0M
Virology CoreP30AI028697 · NIAID · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ANTON, PETER A · 1991 to 2018
$39.9M
Pathways to HIV-Associated Neurocognitive Disorders: A Systems Biology ApproachR01DA030913 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI HORVATH, STEVE, LEVINE, ANDREW J · 2010 to 2014
$1.5M
The impact of host genetics and stimulant use on neurocognition in HIV+ adults.R03DA026099 · NIDA · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LEVINE, ANDREW J · 2008 to 2009
$252k
NCATS NIH HHS UL1 TR000124NCATS NIH HHS UL1TR000124NIAID NIH HHS AI28697NIAID NIH HHS P30 AI028697NIDA NIH HHS R01 DA030913NIDA NIH HHS R01DA030913NIDA NIH HHS R03 DA026099NIDA NIH HHS R03DA026099
6 · The paper itself

Abstract

The Human Genome Project, coupled with rapidly evolving high-throughput technologies, has opened the possibility of identifying heretofore unknown biological processes underlying human disease. Because of the opaque nature of HIV-associated neurocognitive disorder (HAND) neuropathogenesis, the utility of such methods has gained notice among NeuroAIDS researchers. Furthermore, the merging of genetics with other research areas has also allowed for application of relatively nascent fields, such as neuroimaging genomics, and pharmacogenetics, to the context of HAND. In this review, we detail the development of genetic, transcriptomic, and epigenetic studies of HAND, beginning with early candidate gene association studies and culminating in current "omics" approaches that incorporate methods from systems biology to interpret data from multiple levels of biological functioning. Challenges with this line of investigation are discussed, including the difficulty of defining a valid phenotype for HAND. We propose that leveraging known associations between biology and pathology across multiple levels will lead to a more reliable and valid phenotype. We also discuss the difficulties of interpreting the massive and multitiered mountains of data produced by current high-throughput omics assays and explore the utility of systems biology approaches in this regard.

Indexed as

Epigenesis, GeneticTranscriptomeAIDS Dementia ComplexHIV InfectionsHumans

Identifiers

PMID24583618
PMCPMC3947559
OpenAlexW2088575308

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.