Genome-Wide Meta-Analysis of Sciatica in Finnish Population

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 and Kirsti Husgafvel-Pursiainen

PLOS ONE, 2016, vol. 11, issue 10, 1-18

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

Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0163877 (text/html)
https://journals.plos.org/plosone/article/file?id= ... 63877&type=printable (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0163877

DOI: 10.1371/journal.pone.0163877

Access Statistics for this article

More articles in PLOS ONE from Public Library of Science
Bibliographic data for series maintained by plosone ().