Evidence map›Paper›PMID 28800603›Full record

ArticlePloS one2017

Genetic variants specific to aging-related verbal memory: Insights from GWASs in a population-based cohort.

Thalida E Arpawong, Neil Pendleton, Krisztina Mekli, John J McArdle, Margaret Gatz, Chris Armoskus, James A Knowles, Carol A Prescott

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed, 2 pooled it
3.1field-weighted citation impact, top 8% 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

28 citing papers in PubMed, 2 syntheses or guidelines pooled it, 37 citations in OpenAlex.

  1. Pooled it
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  4. Genetic variants associated with age-related episodic memory decline implicate distinct memory pathologies.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
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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

8 authors at 2 institutions in 2 countries.

Thalida E ArpawongDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America.ORCID http://orcid.org/0000-0001-9671-9535
Neil PendletonDivision of Neuroscience and Experimental Psychology, School of Biological Sciences, The University of Manchester, Manchester, United Kingdom.ORCID http://orcid.org/0000-0003-0794-2386
Krisztina MekliCathie Marsh Institute for Social Research, The University of Manchester, Manchester, United Kingdom.
John J McArdleDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America.
Margaret GatzDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America.ORCID http://orcid.org/0000-0002-1071-9970
Chris ArmoskusDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
James A KnowlesDepartment of Psychiatry and the Behavioral Sciences, Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America.
Carol A PrescottDepartment of Psychology, Dornsife College of Letters, Arts and Sciences, University of Southern California, Los Angeles, California, United States of America.ORCID http://orcid.org/0000-0002-1216-8586
University of Southern California · USUniversity of Manchester · GB

Funding

HRS Yrs29-34: Y33 SSA CoFundingU01AG009740 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Jessica Faul, KENNETH M LANGA · 1990 to 2026
$555.8M
Project-001R01AG017644 · NIA · UNIVERSITY OF LONDON INST OF NEUROLOGY · PI Andrew Steptoe · 2000 to 2026
$56.2M
USC/UCLA Center on Biodemography &Population HealthP30AG017265 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JENNIFER A AILSHIRE, HIRAM BELTRAN-SANCHEZ · 1999 to 2026
$17.9M
Creating a National Resource for Genetic Research in Behavioral & Health SciencesRC2AG036495 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2009 to 2010
$7.4M
Expanding a National Resource for Genetic Research in Behavioral & Health ScienceRC4AG039029 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI WEIR, DAVID R. · 2010 to 2010
$6.0M
Etiology of Emotional Resilience in Older Adults: Stress, Genes, and BehaviorsF32AG048681 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ARPAWONG, THALIDA EM · 2014 to 2016
$158k
Medical Research Council MR/N01104X/1Medical Research Council MR/N01104X/2NIA NIH HHS F32 AG048681NIA NIH HHS P30 AG017265NIA NIH HHS R01 AG017644NIA NIH HHS RC2 AG036495NIA NIH HHS RC4 AG039029NIA NIH HHS U01 AG009740
6 · The paper itself

Abstract

Verbal memory is typically studied using immediate recall (IR) and delayed recall (DR) scores, although DR is dependent on IR capability. Separating these components may be useful for deciphering the genetic variation in age-related memory abilities. This study was conducted to (a) construct individual trajectories in IR and independent aspects of delayed recall, or residualized-DR (rDR), across older adulthood; and (b) identify genetic markers that contribute to four estimated phenotypes: IR and rDR levels and changes after age 60. A cognitively intact sample (N = 20,650 with 125,164 observations) was drawn from the U.S. Health and Retirement Study, a nationally representative study of adults aged 50 and older. Mixed effects regression models were constructed using repeated measures from data collected every two years (1996-2012) to estimate level at age 60 and change in memory post-60 in IR and rDR. Genome-wide association scans (GWAS) were conducted in the genotypic subsample (N = 7,486) using ~1.2 million single nucleotide polymorphisms (SNPs). One SNP (rs2075650) in TOMM40 associated with rDR level at the genome-wide level (p = 5.0x10-08), an effect that replicated in an independent sample from the English Longitudinal Study on Ageing (N = 6,898 with 41,328 observations). Meta-analysis of rDR level confirmed the association (p = 5.0x10-11) and identified two others in TOMM40 (rs71352238 p = 1.0x10-10; rs157582 p = 7.0x10-09), and one in APOE (rs769449 p = 3.1 x10-12). Meta-analysis of IR change identified associations with three of the same SNPs in TOMM40 (rs157582 p = 8.3x10-10; rs71352238 p = 1.9x10-09) and APOE (rs769449 p = 2.2x10-08). Conditional analyses indicate GWAS signals on rDR level were driven by APOE, whereas signals on IR change were driven by TOMM40. Additionally, we found that TOMM40 had effects independent of APOE e4 on both phenotypes. Findings from this first U.S. population-based GWAS study conducted on both age-related immediate and delayed verbal memory merit continued examination in other samples and additional measures of verbal memory.

Indexed as

CommunicationGenetic VariationGenome-Wide Association StudyMemoryAgedAged, 80 and overAgingAllelesApolipoprotein E4Cohort StudiesFemaleGene Regulatory NetworksGenotypeHealthHumansMaleApolipoprotein E4Membrane Transport ProteinsMitochondrial Precursor Protein Import Complex ProteinsTOMM40 protein, human

Identifiers

PMID28800603
PMCPMC5553750
OpenAlexW2743948565

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.