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  The complex genetics of gait speed: genome-wide meta-analysis approach

Ben-Avraham, D., Karasik, D., Verghese, J., Lunetta, K. L., Smith, J. A., Eicher, J. D., et al. (2017). The complex genetics of gait speed: genome-wide meta-analysis approach. Aging (Albany NY), 9(1), 209-246. doi:10.18632/aging.101151.

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https://www.ncbi.nlm.nih.gov/pubmed/28077804 (beliebiger Volltext)
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Ben-Avraham, D., Autor
Karasik, D., Autor
Verghese, J., Autor
Lunetta, K. L., Autor
Smith, J. A., Autor
Eicher, J. D., Autor
Vered, R., Autor
Deelen, J.1, Autor           
Arnold, A. M., Autor
Buchman, A. S., Autor
Tanaka, T., Autor
Faul, J. D., Autor
Nethander, M., Autor
Fornage, M., Autor
Adams, H. H., Autor
Matteini, A. M., Autor
Callisaya, M. L., Autor
Smith, A. V., Autor
Yu, L., Autor
De Jager, P. L., Autor
Evans, D. A., AutorGudnason, V., AutorHofman, A., AutorPattie, A., AutorCorley, J., AutorLauner, L. J., AutorKnopman, D. S., AutorParimi, N., AutorTurner, S. T., AutorBandinelli, S., AutorBeekman, M., AutorGutman, D., AutorSharvit, L., AutorMooijaart, S. P., AutorLiewald, D. C., AutorHouwing-Duistermaat, J. J., AutorOhlsson, C., AutorMoed, M., AutorVerlinden, V. J., AutorMellstrom, D., Autorvan der Geest, J. N., AutorKarlsson, M., AutorHernandez, D., AutorMcWhirter, R., AutorLiu, Y., AutorThomson, R., AutorTranah, G. J., AutorUitterlinden, A. G., AutorWeir, D. R., AutorZhao, W., AutorStarr, J. M., AutorJohnson, A. D., AutorIkram, M. A., AutorBennett, D. A., AutorCummings, S. R., AutorDeary, I. J., AutorHarris, T. B., AutorKardia, S. L., AutorMosley, T. H., AutorSrikanth, V. K., AutorWindham, B. G., AutorNewman, A. B., AutorWalston, J. D., AutorDavies, G., AutorEvans, D. S., AutorSlagboom, P. E., Autor           Ferrucci, L., AutorKiel, D. P., AutorMurabito, J. M., AutorAtzmon, G., Autor mehr..
Affiliations:
1Deelen – Genetics and Biomarkers of Human Ageing, Research Groups, Max Planck Institute for Biology of Ageing, Max Planck Society, ou_3394006              

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Schlagwörter: Aged Aged, 80 and over Aging/*genetics Female Gait/*genetics Genome-Wide Association Study Humans Male Middle Aged Phenotype *Polymorphism, Single Nucleotide Quantitative Trait Loci Receptor-Like Protein Tyrosine Phosphatases, Class 2/genetics Serine Endopeptidases/genetics Walking Speed/*genetics *gwas *aging *gait speed *meta-analysis
 Zusammenfassung: Emerging evidence suggests that the basis for variation in late-life mobility is attributable, in part, to genetic factors, which may become increasingly important with age. Our objective was to systematically assess the contribution of genetic variation to gait speed in older individuals. We conducted a meta-analysis of gait speed GWASs in 31,478 older adults from 17 cohorts of the CHARGE consortium, and validated our results in 2,588 older adults from 4 independent studies. We followed our initial discoveries with network and eQTL analysis of candidate signals in tissues. The meta-analysis resulted in a list of 536 suggestive genome wide significant SNPs in or near 69 genes. Further interrogation with Pathway Analysis placed gait speed as a polygenic complex trait in five major networks. Subsequent eQTL analysis revealed several SNPs significantly associated with the expression of PRSS16, WDSUB1 and PTPRT, which in addition to the meta-analysis and pathway suggested that genetic effects on gait speed may occur through synaptic function and neuronal development pathways. No genome-wide significant signals for gait speed were identified from this moderately large sample of older adults, suggesting that more refined physical function phenotypes will be needed to identify the genetic basis of gait speed in aging.

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 Datum: 2017-01-102017-01-13
 Publikationsstatus: Erschienen
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 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: Anderer: 28077804
DOI: 10.18632/aging.101151
ISSN: 1945-4589 (Electronic)1945-4589 (Linking)
 Art des Abschluß: -

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Quelle 1

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Titel: Aging (Albany NY)
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 9 (1) Artikelnummer: - Start- / Endseite: 209 - 246 Identifikator: -