A method to decipher pleiotropy by detecting underlying heterogeneity driven by hidden subgroups applied to autoimmune and neuropsychiatric diseases
- Submitting institution
-
The University of Manchester
- Unit of assessment
- 1 - Clinical Medicine
- Output identifier
- 62520052
- Type
- D - Journal article
- DOI
-
10.1038/ng.3572
- Title of journal
- Nature Genetics
- Article number
- -
- First page
- 803
- Volume
- 48
- Issue
- 7
- ISSN
- 1061-4036
- Open access status
- Exception within 3 months of publication
- Month of publication
- May
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
21
- Research group(s)
-
B - Musculoskeletal and Dermatological Sciences
- Citation count
- 39
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- I was involved in data acquisition and interpretation, and critiquing the intellectual content of the paper
- Non-English
- No
- English abstract
- -
