Evidence map›Paper›PMID 41707076›Full record

ArticleAnnals of the New York Academy of Sciences2026

Polygenic Associations Between Motor Behavior, Neuromotor Traits, and Active Music Engagement in Four Cohorts.

Tara L Henechowicz, Peyton L Coleman, Daniel E Gustavson, Yasmina N Mekki, Srishti Nayak, Rachana Nitin, Alyssa C Scartozzi, Earvin S Tio, Rivka T N van Klei, Daniel Felsky and 2 more

Abstract read
In one paragraph

Article in Annals of the New York Academy of Sciences, 2026. 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

5 · Who and what money

Authors and funding

12 authors.

Tara L HenechowiczMusic and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0001-6680-2098
Peyton L ColemanVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-5388-6886
Daniel E GustavsonInstitute for Behavioral Genetics, University of Colorado Boulder, Boulder, Colorado, USA.ORCID 0000-0002-1470-4928
Yasmina N MekkiVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-5733-9721
Srishti NayakVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0001-6581-3510
Rachana NitinVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0002-3331-1580
Alyssa C ScartozziVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-1703-2423
Earvin S TioKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0002-0521-779X
Rivka T N van KleiKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0009-0007-0661-4387
Daniel FelskyKrembil Centre for Neuroinformatics, Centre for Addiction and Mental Health, Toronto, Ontario, Canada.ORCID 0000-0003-1831-9848
Michael H ThautMusic and Health Science Research Collaboratory, Faculty of Music, University of Toronto, Toronto, Ontario, Canada.ORCID 0000-0002-8603-8127
Reyna L GordonVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, Tennessee, USA.ORCID 0000-0003-1643-6979

Funding

The Vanderbilt Institute for Clinical and Translational Research (VICTR)UL1TR000445 · NCATS · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BERNARD, GORDON RAPHAEL · 2012 to 2016
$41.4M
Overall: Eunice Kennedy Shriver Intellectual and Developmental Disabilities Research Center at VanderbiltP50HD103537 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI Lea K Davis · 2020 to 2026
$10.3M
Neurobiological Markers of Rhythm: Risk and Resilience for Language AcquisitionR01DC016977 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORDON, REYNA LEIGH · 2019 to 2023
$3.5M
Biomarkers of Rhythmic Communication: Integrating Foundational and Translational ApproachesDP2HD098859 · NICHD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GORDON, REYNA LEIGH · 2018 to 2018
$2.4M
Establishing if Music Engagement is a Protective Factor in Adolescent Substance Use Using Existing Longitudinal, Genetic, and Environmental DatasetsR01DA059804 · NIDA · UNIVERSITY OF COLORADO · PI Daniel Gustavson · 2024 to 2026
$2.0M
The Musicality, Hearing and Genetics ("MyHearingG") Project: Experimental, epidemiological, and genomics techniques to explore the role of musicality in hearing healthR21DC021276 · NIDCD · VANDERBILT UNIVERSITY MEDICAL CENTER · PI NAYAK, SRISHTI · 2023 to 2025
$656k
Canadian Statistical Sciences Institute (CANSSI Ontario STAGE)Data science institute at the University of TorontoMitacs GlobalinkNational Science Foundation NSF1926794NICHD NIH HHS P50 HD103537NIDA NIH HHS R01 DA059804NIDCD NIH HHS R21 DC021276NIH HHS DP2HD098859NIH HHS R01DC016977NIH HHS UL1TR000445University of Toronto Faculty of Music
6 · The paper itself

Abstract

Active music engagement, that is, playing a musical instrument or singing, may be protective of motor function decline in aging. Although playing a musical instrument may transfer to benefits in motor function, it is also possible that the genetic architecture of motor behavior and the motor system brain structures may influence active music engagement. This study investigated whether polygenic scores (PGSs) for five behavioral motor traits, 12 structural brain traits, and seven rate-of-change in brain structure traits trained from existing genome-wide association studies predict active music engagement in four independent cohorts: the Canadian Longitudinal Study on Aging (CLSA; N = 22,198), Wisconsin Longitudinal Study (WLS; N = 4605), Vanderbilt's BioVU Repository (BioVU; N = 6150), and Vanderbilt's Online Musicality Study (OM; N = 1559). Results were meta-analyzed for each PGS main effect across outcomes and cohorts, revealing that PGS for a faster walking pace was associated with higher amounts of active music engagement. Within CLSA, a higher PGS for walking pace was associated with greater odds of engaging with music. Our findings suggest a shared genetic architecture between motor function and active music engagement. Future research should consider the genetic underpinnings of motor behavior when evaluating the effects of music engagement on motor function.

Indexed as

AgingBrainMotor ActivityMultifactorial InheritanceMusicAgedCohort StudiesFemaleGenetic Risk ScoreGenome-Wide Association StudyHumansLongitudinal StudiesMaleMiddle AgedBioVUbrain structureCLSAindividual differencesmotor functionmusicalitymusic trainingpolygenic scoresWLS

Identifiers

PMID41707076
PMCPMC12916079

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.