Genome-wide association summary statistics of chronic musculoskeletal pain at four anatomic sites and their genetically independent components
| Main Authors: | Yakov A. Tsepilov, Maxim B. Freidin, Alexandra S. Shadrina, Sodbo Z. Sharapov, Elizaveta E. Elgaeva, Jan van Zundert, Lennart С. Karssen, Pradeep Suri, Frances M.K. Williams, Yurii S. Aulchenko |
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| Format: | info dataset |
| Bahasa: | eng |
| Terbitan: |
, 2020
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/3797553 |
Daftar Isi:
- The dataset contains results of a genome-wide association study of distinct chronic musculoskeletal pain conditions: back pain, knee pain, neck pain, and hip pain. Additionally, there are genome-wide association summary statistics for four genetically independent components of pain conditions, listed above. For more details, please, read the paper XXX. All files contain association summary statistics for genome-wide association meta-analysis of the 265,000 white British individuals from the UK Biobank and additional 191,580 individuals of European Ancestry from the UK biobank (total N = 456,580). Cases and controls were defined based on questionnaire responses. First, participants responded to “Pain type(s) experienced in the last months” followed by questions inquiring if the specific pain had been present for more than 3 months. Those who reported back, neck or shoulder, hip, or knee pain lasting more than 3 months were considered chronic back, neck/shoulder, hip, and knee pain cases, respectively. Participants reporting no such pain lasting longer than 3 months were considered controls (regardless of whether they had another regional chronic pain, such as abdominal pain, or not). Individuals who preferred not to answer were excluded from the study. Besides this, we excluded individuals who reported more than 3 months of pain all over the body. The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data; for utilization of data available prior to publication, you agree to respect the requested responsibilities of resource users under 2003 Fort Lauderdale principles; you agree that you will never attempt to identify any participant. This research has been conducted using the UK Biobank Resource and the use of the data is guided by the principles formulated by the UK Biobank. When using downloaded data, please cite the corresponding paper and this repository: Tsepilov et al 2020 Funding: The work of YSA and SZS was supported by the Russian Ministry of Education and Science under the 5-100 Excellence Programme and by the Federal Agency of Scientific Organizations via the Institute of Cytology and Genetics (project 0324-2019-0040). The work of YAT, ASSh, and EEE was supported by the Russian Foundation for Basic Research (project 19-015-00151). The contribution of LСK was funded by PolyOmica. Dr. Suri was supported by VA Career Development Award # 1IK2RX001515 from the United States (U.S.) Department of Veterans Affairs Rehabilitation Research and Development (RR&D) Service. Dr. Suri is a Staff Physician at the VA Puget Sound Health Care System. The contents of this work do not represent the views of the U.S. Department of Veterans Affairs or the United States Government. List of files: Back_output_done.csv: GWAS summary statistics for the chronic back pain gpc1_output_done.csv: GWAS summary statistics for the GIP1 gpc2_output_done.csv: GWAS summary statistics for the GIP2 gpc3_output_done.csv: GWAS summary statistics for the GIP3 gpc4_output_done.csv: GWAS summary statistics for the GIP4 Hip_output_done.csv: GWAS summary statistics for the chronic hip pain Knee_output_done.csv: GWAS summary statistics for the chronic knee pain Neck_output_done.csv: GWAS summary statistics for the chronic neck pain Column headers: gwas_id: uninformative field rs_id: dbSNP rsID (GRCh37 build) snp_num: uninformative field chr: chromosome (GRCh37 build) bp: position (GRCh37 build) ea: effect allele (coded as "1") ra: reference allele (coded as "0") eaf: effect allele frequency af_ref: uninformative field beta: effect size of effect allele se: standard error of effect size p: P-value of association (without GC correction) n:Total sample size z: Z-statistic of association info: uninformative field af_outlier: uninformative field pz_outlier: uninformative field