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Genome-wide meta-analysis associates HLA-DQA1/DRB1 and LPA and lifestyle factors with human longevity

  • Peter K. Joshi*
  • , Nicola Pirastu
  • , Katherine A. Kentistou
  • , Krista Fischer
  • , Edith Hofer
  • , Katharina E. Schraut
  • , David W. Clark
  • , Teresa Nutile
  • , Catriona L.K. Barnes
  • , Paul R.H.J. Timmers
  • , Xia Shen
  • , Ilaria Gandin
  • , Aaron F. McDaid
  • , Thomas Folkmann Hansen
  • , Scott D. Gordon
  • , Franco Giulianini
  • , Thibaud S. Boutin
  • , Abdel Abdellaoui
  • , Wei Zhao
  • , Carolina Medina-Gomez
  • Traci M. Bartz, Stella Trompet, Leslie A. Lange, Laura Raffield, Ashley Van Der Spek, Tessel E. Galesloot, Petroula Proitsi, Lisa R. Yanek, Lawrence F. Bielak, Antony Payton, Federico Murgia, Maria Pina Concas, Ginevra Biino, Salman M. Tajuddin, Ilkka Seppälä, Najaf Amin, Eric Boerwinkle, Anders D. Børglum, Archie Campbell, Ellen W. Demerath, Ilja Demuth, Jessica D. Faul, Ian Ford, Alessandro Gialluisi, Martin Gögele, Mariaelisa Graff, Aroon Hingorani, Jouke Jan Hottenga, David M. Hougaard, Mikko A. Hurme, M. Arfan Ikram, Marja Jylhä, Diana Kuh, Lannie Ligthart, Christina M. Lill, Ulman Lindenberger, Thomas Lumley, Reedik Mägi, Pedro Marques-Vidal, Sarah E. Medland, Lili Milani, Reka Nagy, William E.R. Ollier, Patricia A. Peyser, Peter P. Pramstaller, Paul M. Ridker, Fernando Rivadeneira, Daniela Ruggiero, Yasaman Saba, Reinhold Schmidt, Helena Schmidt, P. Eline Slagboom, Blair H. Smith, Jennifer A. Smith, Nona Sotoodehnia, Elisabeth Steinhagen-Thiessen, Frank J.A. Van Rooij, André L. Verbeek, Sita H. Vermeulen, Peter Vollenweider, Yunpeng Wang, Thomas Werge, John B. Whitfield, Alan B. Zonderman, Terho Lehtimäki, Michele K. Evans, Mario Pirastu, Christian Fuchsberger, Lars Bertram, Neil Pendleton, Sharon L.R. Kardia, Marina Ciullo, Diane M. Becker, Andrew Wong, Bruce M. Psaty, Cornelia M. Van Duijn, James G. Wilson, J. Wouter Jukema, Lambertus Kiemeney, André G. Uitterlinden, Nora Franceschini, Kari E. North, David R. Weir, Andres Metspalu, Dorret I. Boomsma, Caroline Hayward, Daniel Chasman, Nicholas G. Martin, Naveed Sattar, Harry Campbell, Tonu Esko, Zoltán Kutalik, James F. Wilson
*Corresponding author for this work
  • University of Edinburgh
  • University of Tartu
  • Medical University of Graz
  • National Research Council of Italy
  • Karolinska Institutet
  • University of Trieste
  • IRCCS Ospedale Infantile Burlo Garofolo - Trieste
  • University of Lausanne
  • Swiss Institute of Bioinformatics
  • Mental Health Centre Sct. Hans
  • The Lundbeck Foundation Initiative for Integrative Psychiatric Research
  • Queensland Institute of Medical Research
  • Brigham and Women’s Hospital
  • University of Amsterdam
  • University of Michigan, Ann Arbor
  • Erasmus University Rotterdam
  • University of Washington
  • Leiden University
  • University of Colorado Anschutz Medical Campus
  • University of North Carolina at Chapel Hill
  • Radboud University Nijmegen
  • University College London
  • Johns Hopkins University
  • University of Manchester
  • EURAC Research
  • University of Lübeck
  • National Institutes of Health
  • Tampere University
  • University of Texas Health Science Center at Houston
  • Aarhus University
  • University of Minnesota Twin Cities
  • Charité – Universitätsmedizin Berlin
  • University of Glasgow
  • IRCCS Istituto Neurologico Mediterraneo Neuromed - Pozzilli (IS)
  • Statens Serum Institut
  • Gerontology Research Center
  • Max Planck Institute for Human Development
  • The University of Auckland
  • Harvard University
  • University of Dundee
  • University of Oslo
  • Imperial College London
  • Kaiser Permanente
  • University of Mississippi
  • University of Glasgow
  • Broad Institute

Research output: Contribution to journalArticlepeer-review

Abstract

Genomic analysis of longevity offers the potential to illuminate the biology of human aging. Here, using genome-wide association meta-analysis of 606,059 parents' survival, we discover two regions associated with longevity (HLA-DQA1/DRB1 and LPA). We also validate previous suggestions that APOE, CHRNA3/5, CDKN2A/B, SH2B3 and FOXO3A influence longevity. Next we show that giving up smoking, educational attainment, openness to new experience and high-density lipoprotein (HDL) cholesterol levels are most positively genetically correlated with lifespan while susceptibility to coronary artery disease (CAD), cigarettes smoked per day, lung cancer, insulin resistance and body fat are most negatively correlated. We suggest that the effect of education on lifespan is principally mediated through smoking while the effect of obesity appears to act via CAD. Using instrumental variables, we suggest that an increase of one body mass index unit reduces lifespan by 7 months while 1 year of education adds 11 months to expected lifespan.

Original languageEnglish
Article number910
JournalNature Communications
Volume8
Issue number1
DOIs
Publication statusPublished - 1 Dec 2017
Externally publishedYes

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