Data Related to Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
Loading...
Persistent link to this item
Statistics
View StatisticsCollection period
Date completed
Date updated
Time period coverage
Geographic coverage
Source information
Journal Title
Journal ISSN
Volume Title
Title
Data Related to Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
Published Date
2019-02-04
Author Contact
Erzurumluoglu, A. Mesut
erzurumlumesut@gmail.com
erzurumlumesut@gmail.com
Type
Dataset
Genomics Data
Genomics Data
Abstract
Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). SNV-trait associations with P < 5 × 10−8 in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. These novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
Description
Here we have included four sets of meta-analysis results: Meta-analysis of discovery and replication cohorts, combining genotyped Exome-chip and Axiom array content for (i) Smoking Initiation, (ii) Cigarettes per day, and (iii) Smoking Cessation, and (iv) meta-analysis of discovery cohorts for Pack Years.
Referenced by
Erzurumluoglu, A. M., Liu, M., Jackson, V. E., Barnes, D. R., Datta, G., Melbourne, C. A., … Understanding Society Scientific Group, E.-C., GSCAN, Consortium for Genetics of Smoking Behaviour, CHD Exome+ consortium. (2019). Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Molecular Psychiatry.
https://doi.org/10.1038/s41380-018-0313-0
https://doi.org/10.1038/s41380-018-0313-0
Related to
Replaces
Publisher
Collections
Funding information
item.page.sponsorshipfunderid
item.page.sponsorshipfundingagency
item.page.sponsorshipgrant
Previously Published Citation
Suggested citation
GSCAN; Consortium for Genetics of Smoking Behaviour; CHD Exome+ consortium. (2019). Data Related to Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci. Retrieved from the University Digital Conservancy, https://doi.org/10.13020/qfwg-tn13.
View/Download file
| File View/Open | Description | Size |
|---|---|---|
| Erzurumluoglu_et_al_2019_MolPsy_documentation_v2.txt | Readme file | 2.56 KB |
| Erzurumluoglu_et_al_2018_combined_meta-analysis_SC_results_02132019.txt.gz | Smoking Cessation (SC) data | 29.09 MB |
| Erzurumluoglu_et_al_2018_discovery-stage_meta-analysis_PY_results_02132019.txt.gz | Pack Years (PY) data | 32.23 MB |
| Erzurumluoglu_et_al_2018_combined_meta-analysis_CPD_results_02132019.txt.gz | Cigarettes Per Day (CPD) data | 43.03 MB |
| Erzurumluoglu_et_al_2018_combined_meta-analysis_SI_results_02132019.txt.gz | Smoking Initiation (SI) data | 43.3 MB |
Content distributed via the University Digital Conservancy may be subject to additional license and use restrictions applied by the depositor. By using these files, users agree to the Terms of Use. Materials in the UDC may contain content that is disturbing and/or harmful. For more information, please see our statement on harmful content in digital repositories.