research data . Dataset . 2018

Genome-wide association summary statistics for back pain

Maxim B Freidin; Yakov A Tsepilov; Melody Palmer; Lennart Karssen; CHARGE Musculoskeletal Working Group; Pradeep Suri; Yurii S Aulchenko; Frances MK Williams;
Open Access
  • Published: 23 Jul 2018
  • Publisher: Zenodo
Abstract
<p>The dataset contains results of a genome-wide association study of back pain. Two files contain association summary statistics for discovery GWAS based on the analysis of 350,000 white British individuals from the UK Biobank and meta-analysis GWAS based on the meta-analysis of the same 350,000 individuals and additional 103,862 individuals of European Ancestry from the UK biobank (total N = 453,862). The phenotype of back pain was defined by the answer provided by the UK biobank participants to the following question: &quot;Pain type(s) experienced in last month&quot;. Those who reported &ldquo;Back pain&rdquo;, were considered as cases, all the rest were con...
Subjects
free text keywords: back pain, genetics, gwas, Science Policy, 110309 Infectious Diseases, Plant Biology, 69999 Biological Sciences not elsewhere classified
Funded by
EC| PAIN-OMICS
Project
PAIN-OMICS
Multi-dimensional omics approach to stratification of patients with low back pain
  • Funder: European Commission (EC)
  • Project Code: 602736
  • Funding stream: FP7 | SP1 | HEALTH
Communities
Science and Innovation Policy Studies
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Dataset . 2018
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Dataset . 2018
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Dataset . 2018
Provider: Zenodo
figshare
Dataset . 2018
Provider: figshare
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