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Genome-Wide Meta-Analysis of Sciatica in Finnish Population

Author

Listed:
  • Susanna Lemmelä
  • Svetlana Solovieva
  • Rahman Shiri
  • Christian Benner
  • Markku Heliövaara
  • Johannes Kettunen
  • Verneri Anttila
  • Samuli Ripatti
  • Markus Perola
  • Ilkka Seppälä
  • Markus Juonala
  • Mika Kähönen
  • Veikko Salomaa
  • Jorma Viikari
  • Olli T Raitakari
  • Terho Lehtimäki
  • Aarno Palotie
  • Eira Viikari-Juntura
  • Kirsti Husgafvel-Pursiainen

Abstract

Sciatica or the sciatic syndrome is a common and often disabling low back disorder in the working-age population. It has a relatively high heritability but poorly understood molecular mechanisms. The Finnish population is a genetic isolate where small founder population and bottleneck events have led to enrichment of certain rare and low frequency variants. We performed here the first genome-wide association (GWAS) and meta-analysis of sciatica. The meta-analysis was conducted across two GWAS covering 291 Finnish sciatica cases and 3671 controls genotyped and imputed at 7.7 million autosomal variants. The most promising loci (p

Suggested Citation

  • Susanna Lemmelä & Svetlana Solovieva & Rahman Shiri & Christian Benner & Markku Heliövaara & Johannes Kettunen & Verneri Anttila & Samuli Ripatti & Markus Perola & Ilkka Seppälä & Markus Juonala & Mik, 2016. "Genome-Wide Meta-Analysis of Sciatica in Finnish Population," PLOS ONE, Public Library of Science, vol. 11(10), pages 1-18, October.
    • Handle: RePEc:plo:pone00:0163877
    DOI: 10.1371/journal.pone.0163877
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    References listed on IDEAS

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    1. Pasi J Eskola & Susanna Lemmelä & Per Kjaer & Svetlana Solovieva & Minna Männikkö & Niels Tommerup & Allan Lind-Thomsen & Kirsti Husgafvel-Pursiainen & Kenneth M C Cheung & Danny Chan & Dino Samartzis, 2012. "Genetic Association Studies in Lumbar Disc Degeneration: A Systematic Review," PLOS ONE, Public Library of Science, vol. 7(11), pages 1-10, November.
    2. B. Devlin & Kathryn Roeder, 1999. "Genomic Control for Association Studies," Biometrics, The International Biometric Society, vol. 55(4), pages 997-1004, December.
    3. Bryan N Howie & Peter Donnelly & Jonathan Marchini, 2009. "A Flexible and Accurate Genotype Imputation Method for the Next Generation of Genome-Wide Association Studies," PLOS Genetics, Public Library of Science, vol. 5(6), pages 1-15, June.
    4. Ida Surakka & Aaron Isaacs & Lennart C Karssen & Pirkka-Pekka P Laurila & Rita P S Middelberg & Emmi Tikkanen & Janina S Ried & Claudia Lamina & Massimo Mangino & Wilmar Igl & Jouke-Jan Hottenga & Vas, 2011. "A Genome-Wide Screen for Interactions Reveals a New Locus on 4p15 Modifying the Effect of Waist-to-Hip Ratio on Total Cholesterol," PLOS Genetics, Public Library of Science, vol. 7(10), pages 1-8, October.
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