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Correction: The complex genetics of gait speed: Genome-wide metaanalysis approach [Aging, (Albany NY), 9, 1, (2017), (209-246)]doi 10.18632/aging.101151

  • Dan Ben-Avraham
  • , David Karasik
  • , Joe Verghese
  • , Kathryn L. Lunetta
  • , Jennifer A. Smith
  • , John D. Eicher
  • , Rotem Vered
  • , Joris Deelen
  • , Alice M. Arnold
  • , Aron S. Buchman
  • , Toshiko Tanaka
  • , Jessica D. Faul
  • , Maria Nethander
  • , Myriam Fornage
  • , Hieab H. Adams
  • , Amy M. Matteini
  • , Michele L. Callisaya
  • , Albert V. Smith
  • , Lei Yu
  • , Philip L. De Jager
  • Denis A. Evans, Vilmundur Gudnason, Albert Hofman, Alison Pattie, Janie Corley, Lenore J. Launer, Davis S. Knopman, Neeta Parimi, Stephen T. Turner, Stefania Bandinelli, Marian Beekman, Danielle Gutman, Lital Sharvit, Simon P. Mooijaart, David C. Liewald, Jeanine J. Houwing-Duistermaat, Claes Ohlsson, Matthijs Moed, Vincent J. Verlinden, Dan Mellström, Jos N. van der Geest, Magnus Karlsson, Dena Hernandez, Rebekah McWhirter, Yongmei Liu, Russell Thomson, Gregory J. Tranah, Andre G. Uitterlinden, David R. Weir, Wei Zhao, John M. Starr, Andrew D. Johnson, M. Arfan Ikram, David A. Bennett, Steven R. Cummings, Ian J. Deary, Tamara B. Harris, Sharon L.R. Kardia, Thomas H. Mosley, Velandai K. Srikanth, Beverly G. Windham, Ann B. Newman, Jeremy D. Walston, Gail Davies, Daniel S. Evans, Eline P. Slagboom, Luigi Ferrucci, Douglas P. Kiel, Joanne M. Murabito, Gil Atzmon
  • Albert Einstein College of Medicine
  • Harvard University
  • Bar-Ilan University
  • The National Heart Lung and Blood Institute's Framingham Heart Study
  • Boston University
  • University of Michigan, Ann Arbor
  • National Institutes of Health
  • University of Haifa
  • Leiden University
  • Max Planck Institute for Biology of Ageing
  • University of Washington
  • Rush University
  • University of Gothenburg
  • University of Texas Health Science Center at Houston
  • Erasmus University Rotterdam
  • Johns Hopkins University
  • Peninsula Health
  • University of Tasmania
  • University of Iceland
  • Brigham and Women’s Hospital
  • Rush Institute for Healthy Aging
  • University of Edinburgh
  • Mayo Clinic Rochester, MN
  • California Pacific Medical Center
  • Azienda Sanitaria Firenze (ASF)
  • University of Leeds
  • Lund University
  • Wake Forest University
  • Western Sydney University
  • Netherlands Genomics Initiative
  • University of Mississippi
  • University of Pittsburgh
  • Broad Institute

Research output: Contribution to journalComment/debate

2 Scopus citations

Abstract

Applying HaploReg v4.1 analysis to the 536 variants resulted in 9 categories (Supplementary Table 8): miscRNA (1 variant); snoRNA (2 variants); microRNA (4 variants); snRNA (9 variants); pseudogenes (14 variants); sequencing in progress (43 variants); LINC RNA (86 variants); and 372 variants within protein coding genes. In addition, some variants annotate to the same gene resulting in a total of 139 genes (protein-coding or non-coding). Of those genes, 6 are exceptionally long, containing over a million base-pairs, the longest of which is PTPRT coded by 1117219bp. The shortest genes are the ones coding for micro (MIR3143) or small nuclear (U7) RNAs at 63bp each. There is only partial information regarding the chromatin state of each variant. However, from the information gathered in the analysis we observed 14 transcription start sites and 245 enhancers (Supplementary Table 8).

Original languageEnglish
Pages (from-to)1844-1846
Number of pages3
JournalAging
Volume9
Issue number7
DOIs
StatePublished - Jul 1 2017

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