Evidence map›Paper›PMID 27603370›Full record

Observational studyMedicine2016

Genetically determined ancestry is more informative than self-reported race in HIV-infected and -exposed children.

Stephen A Spector, Sean S Brummel, Caroline M Nievergelt, Adam X Maihofer, Kumud K Singh, Murli U Purswani, Paige L Williams, Rohan Hazra, Russell Van Dyke, George R Seage and 1 more

Registry-linked trialOpen access · goldAbstract readObservational Study
In one paragraph

Observational study in Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01418014 (Adolescent Master Protocol), which is not on this map. Cited by 4 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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.

NCT01418014 completednot on this map

Adolescent Master Protocol

TypeobservationalSponsorHarvard School of Public Health (HSPH)Ran2007 to 2021Enrolled678ConditionsHIV/AIDS
3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Evaluating and sharing global genetic ancestry in biomedical datasets.Journal of the American Medical Informatics Association : JAMIA · 2019
    Article
  4. Article
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

11 authors at 7 institutions in 1 country.

Stephen A SpectorUniversity of California, San Diego, La Jolla Rady Children's Hospital-San Diego, San Diego, CA Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA Albert Einstein College of Medicine, Bronx Lebanon Hospital, Bronx, New York, NY Departments of Biostatistics Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD Tulane University School of Medicine, New Orleans, LA.
Sean S Brummel
Caroline M Nievergelt
Adam X Maihofer
Kumud K Singh
Murli U Purswani
Paige L Williams
Rohan Hazra
Russell Van Dyke
George R Seage
Pediatric HIV/AIDS Cohort Study (PHACS)
University of California, San Diego · USCancer Research And Biostatistics · USAlbert Einstein College of Medicine · USHarvard University · USNational Institutes of Health · USRady Children's Hospital-San Diego · USTulane University · US

Funding

PHACS - Data and Operations CenterU01HD052102 · NICHD · HARVARD UNIVERSITY (SCH OF PUBLIC HLTH) · PI WILLIAMS, PAIGE L · 2005 to 2019
$242.7M
University of California, San Diego Clinical Trial UnitUM1AI069536 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI STEPHEN A SPECTOR · 2012 to 2026
$34.0M
Pediatric HIV/AIDS Cohort Study (PHACS): Understanding Maternal HIV Disease through Pregnancy and the Postpartum Period and its Role in Child Health OutcomesU01HD052104 · NICHD · TULANE UNIVERSITY OF LOUISIANA · PI VAN DYKE, RUSSELL B. · 2005 to 2019
$15.7M
Host Genetic Factors Associated with CNS Disease of HIV-Infected ChildrenR01NS077874 · NINDS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI SPECTOR, STEPHEN A · 2011 to 2015
$3.6M
NIAID NIH HHS UM1 AI069536NICHD NIH HHS U01 HD052102NICHD NIH HHS U01 HD052104NINDS NIH HHS R01 NS077874
6 · The paper itself

Abstract

The Pediatric HIV/AIDS Cohort Study (PHACS), the largest ongoing longitudinal study of perinatal HIV-infected (PHIV) and HIV-exposed, uninfected (PHEU) children in the United States, comprises the Surveillance Monitoring of Antiretroviral Therapy [ART] Toxicities (SMARTT) Study in PHEU children and the Adolescent Master Protocol (AMP) that includes PHIV and PHEU children ≥7 years. Although race/ethnicity is often used to assess health outcomes, this approach remains controversial and may fail to accurately reflect the backgrounds of ancestry-diverse populations as represented in the PHACS participants.In this study, we compared genetically determined ancestry (GDA) and self-reported race/ethnicity (SRR) in the PHACS cohort. GDA was estimated using a highly discriminative panel of 41 single nucleotide polymorphisms and compared to SRR. Because SRR was similar between the PHIV and PHEU, and between the AMP and SMARTT cohorts, data for all unique 1958 participants were combined.According to SRR, 63% of study participants identified as Black/African-American, 27% White, and 34% Hispanic. Using the highest percentage of ancestry/ethnicity to identify GDA, 9.5% of subjects were placed in the incorrect superpopulation based on SRR. When ≥50% or ≥75% GDA of a given superpopulation was required, 12% and 25%, respectively, of subjects were placed in the incorrect superpopulation based on SRR, and the percent of subjects classified as multiracial increased. Of 126 participants with unidentified SRR, 71% were genetically identified as Eurasian.GDA provides a more robust assessment of race/ethnicity when compared to self-report, and study participants with unidentified SRR could be assigned GDA using genetic markers. In addition, identification of continental ancestry removes the taxonomic identification of race as a variable when identifying risk for clinical outcomes.

Indexed as

Self ReportChildHIV InfectionsHumansRacial GroupsUnited States

Identifiers

PMID27603370
PMCPMC5023893
OpenAlexW2509277825

What OpenQuestion holds

Textmetadata
LicenceCC BY-ND
Read underepoch 390

Registered trials

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.