Evidence map›Paper›PMID 27566956›Full record

ArticleEBioMedicine2016

Racial and Socioeconomic Variation in Genetic Markers of Telomere Length: A Cross-Sectional Study of U.S. Older Adults.

Rita Hamad, Shripad Tuljapurkar, David H Rehkopf

Open access · goldAbstract read
In one paragraph

Article in EBioMedicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 3 pooled it
2.1field-weighted citation impact, top 13% 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

24 citing papers in PubMed, 3 syntheses or guidelines pooled it, 32 citations in OpenAlex.

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  17. Racial discrimination and telomere shortening among African Americans: The Coronary Artery Risk Development in Young Adults (CARDIA) Study.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2020
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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 1 institution in 1 country.

Rita HamadStanford University, Department of Medicine, 1070 Arastradero Road, Palo Alto, CA 94304, USA. Electronic address: rhamad@stanford.edu.
Shripad TuljapurkarStanford University, Biology Department, Herrin Labs 454, Stanford, CA 94305, USA.
David H RehkopfStanford University, Department of Medicine, 1070 Arastradero Road, Palo Alto, CA 94304, USA.
Stanford University · US

Funding

Spectrum Stanford Center for clinical and Translational Research and EducationKL2TR001083 · NCATS · STANFORD UNIVERSITY · PI CULLEN, MARK RICHARD, GREENBERG, HARRY BERNARD · 2013 to 2017
$4.9M
Research Networks in Biodemography and Demography of AgingR24AG039345 · NIA · STANFORD UNIVERSITY · PI TULJAPURKAR, SHRIPAD D. · 2010 to 2014
$1.2M
Life course contexts and work - quantifying impacts on aging and chronic diseaseK01AG047280 · NIA · STANFORD UNIVERSITY · PI REHKOPF, DAVID H · 2014 to 2018
$632k
6 · The paper itself

Abstract

backgroundShorter telomere length (TL) has been associated with stress and adverse socioeconomic conditions, yet U.S. blacks have longer TL than whites. The role of genetic versus environmental factors in explaining TL by race and socioeconomic position (SEP) remains unclear.

methodsWe used data from the U.S. Health and Retirement Study (N=11,934) to test the hypothesis that there are differences in TL-associated SNPs by race and SEP. We constructed a TL polygenic risk score (PRS) and examined its association with race/ethnicity, educational attainment, assets, gender, and age.

resultsU.S. blacks were more likely to have a lower PRS for TL, as were older individuals and men. Racial differences in TL were statistically accounted for when controlling for population structure using genetic principal components. The GWAS-derived SNPs for TL, however, may not have consistent associations with TL across different racial/ethnic groups.

conclusionsThis study showed that associations of race/ethnicity with TL differed when accounting for population stratification. The role of race/ethnicity for TL remains uncertain, however, as the genetic determinants of TL may differ by race/ethnicity. Future GWAS samples should include racially diverse participants to allow for better characterization of the determinants of TL in human populations.

Indexed as

Genetic MarkersPopulation SurveillanceAgedAged, 80 and overAge FactorsAllelesCross-Sectional StudiesEthnicityFemaleGene FrequencyGenome-Wide Association StudyGeriatric AssessmentHumansMaleMiddle AgedPolymorphism, Single NucleotideGenetic MarkersPolygenic risk scoreRaceSingle nucleotide polymorphismSocioeconomic positionTelomereTelomere length

Identifiers

PMID27566956
PMCPMC5049995
OpenAlexW2507752161

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.