Evidence map›Paper›PMID 38808484›Full record

ArticleThe journals of gerontology. Series A, Biological sciences and medical sciences2024

Whole Genome Linkage and Association Analyses Identify DLG Associated Protein-1 as a Novel Positional and Biological Candidate Gene for Muscle Strength: The Long Life Family Study.

Adam J Santanasto, Sandeep Acharya, Mary K Wojczynski, Ryan K Cvejkus, Shiow Lin, Michael R Brent, Jason A Anema, Lihua Wang, Bharat Thyagarajan, Kaare Christensen and 2 more

Abstract read
In one paragraph

Article in The journals of gerontology. Series A, Biological sciences and medical sciences, 2024. 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

12 authors.

Adam J SantanastoDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.ORCID 0000-0002-6912-2909
Sandeep AcharyaDivision of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA.
Mary K WojczynskiDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Ryan K CvejkusDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.
Shiow LinDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Michael R BrentDivision of Computational and Data Sciences, Center for Genome Sciences and Systems Biology, Washington University in St. Louis, St. Louis, Missouri, USA.ORCID 0000-0002-8689-0299
Jason A AnemaDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Lihua WangDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Bharat ThyagarajanDepartment of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, Minnesota, USA.ORCID 0000-0001-6968-6985
Kaare ChristensenEpidemiology Unit, Institute of Public Health, The Danish Aging Research Center, University of Southern Denmark, Odense, Denmark.ORCID 0000-0002-5429-5292
E Warwick DawDivision of Statistical Genomics, Department of Genetics, Washington University School of Medicine in St. Louis, St. Louis, Missouri, USA.
Joseph M ZmudaDepartment of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, Pennsylvania, USA.

Funding

The Long Life Family StudyU19AG063893 · NIA · WASHINGTON UNIVERSITY · PI Stacy Andersen, KAARE CHRISTENSEN · 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 AG063893NIA NIH HHS U19-AG063893-01
6 · The paper itself

Abstract

backgroundGrip strength is a robust indicator of overall health, is moderately heritable, and predicts longevity in older adults.

methodsUsing genome-wide linkage analysis, we identified a novel locus on chromosome 18p (mega-basepair region: 3.4-4.0) linked to grip strength in 3 755 individuals from 582 families aged 64 ± 12 years (range 30-110 years; 55% women). There were 26 families that contributed to the linkage peak (cumulative logarithm of the odds [LOD] score = 10.94), with 6 families (119 individuals) accounting for most of the linkage signal (LOD = 6.4). In these 6 families, using whole genome sequencing data, we performed association analyses between the 7 312 single nucleotide (SNVs) and insertion deletion (INDELs) variants in the linkage region and grip strength. Models were adjusted for age, age2, sex, height, field center, and population substructure.

resultsWe found significant associations between genetic variants (8 SNVs and 4 INDELs, p < 5 × 10-5) in the Disks Large-associated Protein 1 (DLGAP1) gene and grip strength. Haplotypes constructed using these variants explained up to 98.1% of the LOD score. Finally, RNAseq data showed that these variants were significantly associated with the expression of nearby Myosin Light Chain 12A (MYL12A), Structural Maintenance of Chromosomes Flexible Hinge Domain Containing 1 (SMCHD1), Erythrocyte Membrane Protein Band 4.1 Like 3 (EPB41L3) genes (p < .0004).

conclusionsThe DLGAP1 gene plays an important role in the postsynaptic density of neurons; thus, it is both a novel positional and biological candidate gene for follow-up studies aimed at uncovering genetic determinants of muscle strength.

Indexed as

Genome-Wide Association StudyHand StrengthAdultAgedAged, 80 and overFemaleGenetic LinkageHumansLongevityMaleMiddle AgedMuscle StrengthPolymorphism, Single NucleotideSAP90-PSD95 Associated ProteinsDLGAP1 protein, humanSAP90-PSD95 Associated ProteinsEpidemiologyGeneticsMuscle strengthNerveRNA

Identifiers

PMID38808484
PMCPMC11226997

What Socratic holds

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Registered trials

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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 Socratic graph.