| dc.contributor |
Wellcome Trust |
|
| dc.contributor |
Adams, Mark |
|
| dc.creator |
Wigmore, Ella |
|
| dc.creator |
Hafferty, Jonathan |
|
| dc.creator |
Hall, Lynsey |
|
| dc.creator |
Howard, David |
|
| dc.creator |
Clarke, Toni-Kim |
|
| dc.creator |
Fabbri, Chiara |
|
| dc.creator |
Lewis, Cathryn |
|
| dc.creator |
Uher, Rudolf |
|
| dc.creator |
Navrady, Lauren |
|
| dc.creator |
Adams, Mark |
|
| dc.creator |
Zeng, Yanni |
|
| dc.creator |
Campbell, Archie |
|
| dc.creator |
Gibson, Jude |
|
| dc.creator |
Thomson, Pippa |
|
| dc.creator |
Hayward, Caroline |
|
| dc.creator |
Smith, Blair |
|
| dc.creator |
Hocking, Lynne |
|
| dc.creator |
Padmanabhan, Sandosh |
|
| dc.creator |
Deary, Ian |
|
| dc.creator |
Porteous, David |
|
| dc.creator |
Mors, Ole |
|
| dc.creator |
Mattheisen, Manuel |
|
| dc.creator |
Nicodemus, Kristin |
|
| dc.creator |
McIntosh, Andrew |
|
| dc.date |
2020-03-31T10:07:33Z |
|
| dc.date |
2020-03-31T10:07:33Z |
|
| dc.date.accessioned |
2023-02-17T20:53:18Z |
|
| dc.date.available |
2023-02-17T20:53:18Z |
|
| dc.identifier |
Wigmore, Ella; Hafferty, Jonathan; Hall, Lynsey; Howard, David; Clarke, Toni-Kim; Fabbri, Chiara; Lewis, Cathryn; Uher, Rudolf; Navrady, Lauren; Adams, Mark; Zeng, Yanni; Campbell, Archie; Gibson, Jude; Thomson, Pippa; Hayward, Caroline; Smith, Blair; Hocking, Lynne; Padmanabhan, Sandosh; Deary, Ian; Porteous, David; Mors, Ole; Mattheisen, Manuel; Nicodemus, Kristin; McIntosh, Andrew. (2020). Genome-wide association summary statistics of antidepressant treatment resistance meta-analysis, [dataset]. University of Edinurgh. Centre for Clinical Brain Sciences. Department of Psychiatry. https://doi.org/10.7488/ds/2791. |
|
| dc.identifier |
https://hdl.handle.net/10283/3597 |
|
| dc.identifier |
https://doi.org/10.7488/ds/2791 |
|
| dc.identifier.uri |
http://localhost:8080/xmlui/handle/CUHPOERS/244099 |
|
| dc.description |
Data from Wigmore et al "Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP". The Pharmacogenomics Journal 20, 329–341 (2020) DOI:10.1038/s41397-019-0067-3
This dataset consists of two sets of GWAS summary statistics:
- case-control analysis of treatment resistance phenotype in the Generation Scotland and GENDEP samples (inverse variance weighted meta-analysis). Cases = 358, Controls = 3855.
- quantitative stages of resistance phenotype in Generation Scotland. N = 3452. |
|
| dc.description |
File: TRD_meta.Wigmore2020.txt.gz
Description: Meta-analysis of Generation Scotland and GENDEP
Columns:
- CHR: chromosome
- SNP: marker RSID
- BP: base-pair position
- A1: effect allele
- A2: non-effect allele
- Freq1: average frequency of A1
- FreqSE: standard error of frequency
- logOR: effect of A1 as log Odds Ratio
- logOR_SE: standard error of the effect
- P: p-value
- Direction: direction of effect from each study (order: GENDEP, GenScot)
- HetISq, HetChiSq, HetDf, HetPVal: heterogeneity statistics
File: TRD_Stages.Wigmore2020.txt.gz
Description: Stage of resistance in Generation Scotland
Columns:
- CHR: chromsome
- SNP: marker RSID
- BP: base-pair position
- A1: effect allele
- A2: non-effect allele
- Freq: frequency of A1
- beta: effect of A1
- se: standard error of effect
- P: p-value |
|
| dc.format |
application/octet-stream |
|
| dc.format |
application/gzip |
|
| dc.format |
application/gzip |
|
| dc.language |
eng |
|
| dc.publisher |
University of Edinurgh. Centre for Clinical Brain Sciences. Department of Psychiatry |
|
| dc.relation |
https://doi.org/10.1038/s41397-019-0067-3 |
|
| dc.rights |
Creative Commons Attribution 4.0 International Public License |
|
| dc.subject |
depression |
|
| dc.subject |
antidepressant |
|
| dc.subject |
electronic health records |
|
| dc.subject |
Medicine and Dentistry |
|
| dc.title |
Genome-wide association summary statistics of antidepressant treatment resistance meta-analysis |
|
| dc.title |
Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP |
|
| dc.type |
dataset |
|
| dc.coverage |
Scotland |
|
| dc.coverage |
UK |
|
| dc.coverage |
UNITED KINGDOM |
|