Evidence map›Paper›PMID 34156441›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2021

Identification of a Novel Locus for Gait Speed Decline With Aging: The Long Life Family Study.

Adam J Santanasto, Mary K Wojczynski, Ryan K Cvejkus, Shiow Lin, Lihua Wang, Bharat Thyagarajan, Kaare Christensen, Nicole Schupf, Mary F Feitosa, Ping An and 1 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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.

Adam J SantanastoDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6912-2909
Mary K WojczynskiDepartment of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA.
Ryan K CvejkusDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA.
Shiow LinDepartment of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA.
Lihua WangDepartment of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, USA.ORCID 0000-0001-6968-6985
Kaare ChristensenThe Danish Aging Research Center, Epidemiology Unit, Institute of Public Health, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
Nicole SchupfDepartment of Epidemiology, Mailman School of Public Health, Columbia University, New York, USA.
Mary F FeitosaDepartment of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA.
Ping AnDepartment of Genetics, Division of Statistical Genomics, Washington University School of Medicine, St. Louis, Missouri, USA.
Joseph M ZmudaDepartment of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pennsylvania, USA.

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
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
Training in Molecular Epidemiology: Linking Genes to Physical Function in Older AdultsK01AG057726 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI SANTANASTO, ADAM J · 2018 to 2022
$582k
NIA NIH HHS K01 AG057726NIA NIH HHS U01 AG023712NIA NIH HHS U01 AG023744NIA NIH HHS U01 AG023746NIA NIH HHS U01 AG023749NIA NIH HHS U01 AG023755NIA NIH HHS U19-AG063893-01
6 · The paper itself

Abstract

backgroundGait speed is a powerful indicator of health with aging. Potential genetic contributions to gait speed and its decline with aging are not well defined. We determined the heritability of and potential genetic regions underlying change in gait speed using longitudinal data from 2379 individuals belonging to 509 families in the Long Life Family Study (mean age 64 ± 12, range 30-110 years; 45% men).

methodsGait speed was measured over 4 m at baseline and follow-up (7 ± 1 years). Quantitative trait linkage analyses were completed using pedigree-based maximum likelihood methods with logarithm of the odds (LOD) scores greater than 3.0, indicating genome-wide significance. We also performed linkage analysis in the top 10% of families contributing to LOD scores to allow for heterogeneity among families (HLOD). Data were adjusted for age, sex, height, and field center.

resultsAt baseline, 26.9% of individuals had "slow" gait speed less than 1.0 m/s (mean: 1.1 ± 0.2 m/s) and gait speed declined at a rate of -0.02 ± 0.03 m/s per year (p < .0001). Baseline and change in gait speed were significantly heritable (h2 = 0.24-0.32, p < .05). We did not find significant evidence for linkage for baseline gait speed; however, we identified a significant locus for change in gait speed on chromosome 16p (LOD = 4.2). A subset of 21 families contributed to this linkage peak (HLOD = 6.83). Association analyses on chromosome 16 showed that the strongest variant resides within the ADCY9 gene.

conclusionFurther analysis of the chromosome 16 region, and ADCY9 gene, may yield new insight on the biology of mobility decline with aging.

Indexed as

AgingWalking SpeedAgedAged, 80 and overBody HeightFemaleGaitHumansMaleEpidemiologyGaitGeneticsPhysical function

Identifiers

PMID34156441
PMCPMC8436996

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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.