Evidence map›Paper›PMID 36813607›Full record

ArticleNeurobiology of aging2023

Rare genetic variants correlate with better processing speed.

Zeyuan Song, Anastasia Gurinovich, Marianne Nygaard, Jonas Mengel-From, Stacy Andersen, Stephanie Cosentino, Nicole Schupf, Joseph Lee, Joseph Zmuda, Svetlana Ukraintseva and 4 more

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.6field-weighted citation impact, top 16% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

14 authors at 6 institutions in 2 countries.

Zeyuan SongDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA. Electronic address: zeyuan@bu.edu.
Anastasia GurinovichInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Marianne NygaardEpidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Jonas Mengel-FromEpidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark.
Stacy AndersenDepartment of Medicine, Boston University School of Medicine, Boston, MA, USA.
Stephanie CosentinoDepartments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA.
Nicole SchupfDepartments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA.
Joseph LeeDepartments of Epidemiology and Neurology, Columbia University Medical Center, New York, NY, USA.
Joseph ZmudaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA.
Svetlana UkraintsevaBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Konstantin ArbeevBiodemography of Aging Research Unit, Social Science Research Institute, Duke University, Durham, NC, USA.
Kaare ChristensenEpidemiology, Biostatistics and Biodemography, The Danish Aging Research Center, and The Danish Twin Registry, Institute of Public Health, University of Southern Denmark, Odense, Denmark; Department of Clinical Genetics, Odense University Hospital, Odense, Denmark; Department of Clinical Biochemistry and Pharmacology, Odense University Hospital, Odense, Denmark.
Thomas PerlsDepartment of Medicine, Boston University School of Medicine, Boston, MA, USA.
Paola SebastianiInstitute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, USA.
Boston University · USColumbia University Irving Medical Center · USUniversity of Southern Denmark · DKSocial Science Research Council · USTufts Medical Center · USUniversity of Pittsburgh · US

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI PAOLA SEBASTIANI · 2019 to 2026
$125.4M
Long Life Family Study: Data Management and Coordinating CenterU01AG023746 · NIA · WASHINGTON UNIVERSITY · PI PROVINCE, MICHAEL A. · 2004 to 2018
$29.2M
Identifying protective omics profiles in centenarians and translating these into preventive and therapeutic strategiesUH3AG064704 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2022 to 2025
$14.7M
The Long Life Family StudyU01AG023755 · NIA · BOSTON MEDICAL CENTER · PI PERLS, THOMAS T · 2004 to 2018
$13.2M
Plasma beta-amyloid in long lived families: genetics and risk of ADU01AG023749 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI COSENTINO, STEPHANIE ANN, LEE, JOSEPH HYUNGWOO · 2004 to 2018
$13.0M
Multicenter Study on Exceptional Survival in Families: The Long Life Family StudyU01AG023744 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI NEWMAN, ANNE B., ZMUDA, JOSEPH M. · 2004 to 2018
$12.0M
Long Life Family Study: Duke Univ./Univ. of Southern Denmark Field CenterU01AG023712 · NIA · DUKE UNIVERSITY · PI CHRISTENSEN, KAARE · 2004 to 2018
$10.4M
Understanding Alzheimer's Disease in the Context of the AgingR01AG062623 · NIA · DUKE UNIVERSITY · PI OUKRAINTSEVA, SVETLANA V. · 2019 to 2023
$3.6M
Gene-Environment Interplay of Social Contexts and Aging-Related OutcomesR01AG037985 · NIA · UNIVERSITY OF SOUTHERN CALIFORNIA · PI PEDERSEN, NANCY L · 2010 to 2014
$3.2M
Protein Signatures of APOE2 and Cognitive AgingR01AG061844 · NIA · TUFTS MEDICAL CENTER · PI PERLS, THOMAS T, SEBASTIANI, PAOLA · 2018 to 2022
$3.1M
Digital Markers of Cognition Across the Spectrum of Preclinical Cognitive Impairment to DementiaK01AG057798 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI ANDERSEN, STACY · 2018 to 2022
$596k
NIA NIH HHS K01 AG057798NIA NIH HHS R01 AG037985NIA NIH HHS R01 AG061844NIA NIH HHS R01 AG062623NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19 AG063893NIA NIH HHS UH3 AG064704
6 · The paper itself

Abstract

We conducted a genome-wide association study of Digit Symbol Substitution Test scores administered in 4207 family members of the Long Life Family Study (LLFS). Genotype data were imputed to the HRC panel of 64,940 haplotypes resulting in ∼15M genetic variants with a quality score > 0.7. The results were replicated using genetic data imputed to the 1000 Genomes phase 3 reference panel from 2 Danish twin cohorts: the study of Middle Aged Danish Twins and the Longitudinal Study of Aging Danish Twins. The genome-wide association study in LLFS discovered 18 rare genetic variants (minor allele frequency (MAF) < 1.0%) that reached genome-wide significance (p-value < 5 × 10

Indexed as

Genome-Wide Association StudyProcessing SpeedGenotypeHaplotypesHumansLongitudinal StudiesMiddle AgedPolymorphism, Single NucleotideDigit Symbol Substitution TestGenome-wide association studyProcessing speedRare variants

Identifiers

PMID36813607
PMCPMC10038891
OpenAlexW4318447245

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.