Evidence map›Paper›PMID 29158487›Full record

ArticleScientific reports2017

Genetic variants associated with physical performance and anthropometry in old age: a genome-wide association study in the ilSIRENTE cohort.

David Heckerman, Bryan J Traynor, Anna Picca, Riccardo Calvani, Emanuele Marzetti, Dena Hernandez, Michael Nalls, Sampath Arepali, Luigi Ferrucci, Francesco Landi

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 3 institutions in 3 countries.

David HeckermanMicrosoft Research, Los Angeles, California, USA.
Bryan J TraynorNeuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA.
Anna PiccaCenter for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy.
Riccardo CalvaniCenter for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy.
Emanuele MarzettiCenter for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy.ORCID 0000-0001-9567-6983
Dena HernandezGenomics Technology Group, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA.
Michael NallsMolecular Genetics Unit, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA.
Sampath ArepaliGenomics Technology Group, Laboratory of Neurogenetics, National Institute on Aging, 35 Convent Drive, Room 1A-1000, Bethesda, MD, 20892, USA.
Luigi FerrucciLongitudinal Studies Section, Clinical Research Branch, National Institute on Aging, 251 Bayview Blvd., Room BRC/04C225, Baltimore, MD, 21224, USA.
Francesco LandiCenter for Geriatric Medicine (CEMI), Department of Geriatrics, Neurosciences and Orthopedics, Catholic University of Sacred Heart, Rome, 00168, Italy. francesco.landi@unicatt.it.
National Institute on Aging · USUniversità Cattolica del Sacro Cuore · ITMicrosoft (United States) · US

Funding

Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Intramural NIH HHS Z01 AG000949
6 · The paper itself

Abstract

Unraveling the complexity of aging is crucial for understanding its mechanisms and its role as a risk factor for most chronic conditions. Advancements marked by genome-wide association studies (GWASs) have sparked interest in gene cataloguing in the context of aging and age-related conditions. Here, we used GWAS to explore whether single nucleotide polymorphisms (SNPs) were associated with functional and anthropometric parameters in a cohort of old community-dwellers enrolled in the ilSIRENTE study. Analyses were carried out in men and women aged 80+ years enrolled in the ilSIRENTE study (n = 286) and replicated in the inCHIANTI study (n = 1055). Genotyping was accomplished on Infinium Human610-QUAD version 1. In the ilSIRENTE population, genetic variants in ZNF295 and C2CD2 (rs928874 and rs1788355) on chromosome 21q22.3, were significantly associated with the 4-meter gait speed (rs928874, p = 5.61 × 10

Indexed as

AgedAged, 80 and overAgingAnthropometryDNA-Binding ProteinsFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMembrane ProteinsPhysical Functional PerformancePolymorphism, Single NucleotideTranscription FactorsWalking SpeedC2CD2L protein, humanDNA-Binding ProteinsMembrane ProteinsTranscription FactorsZBTB21 protein, human

Identifiers

PMID29158487
PMCPMC5696534
OpenAlexW2768191269

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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 OpenQuestion graph.