Published November 1, 2019 | Version v1
Dataset Open

GTEx v8 Elastic Net prediction models

Description

Elastic Net prediction models and LD reference (PrediXcan/MultiXcan support, individual-level or summary-level versions)

# Data usage policy

When using this data, you must acknowledge the source by citing the publication "Widespread dose-dependent effects of RNA expression and splicing on complex diseases and traits" (https://doi.org/10.1101/814350).

 

# Disclaimer

The data is provided "as is", and the authors assume no responsibility for errors or omissions.  
The User assumes the entire risk associated with its use of these data.  
The authors shall not be held liable for any use or misuse of the data described and/or contained herein.  
The User bears all responsibility in determining whether these data are fit for the User's intended use.  

The information contained in these data is not better than the original sources from which they were derived,
and both scale and accuracy may vary across the data set.  
These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics
appropriate for applications that potential users of the data may contemplate.  
 
The user is responsible to comply with any data usage policy from the original GWAS studies;
refer to the list of traits described [here](https://www.biorxiv.org/content/10.1101/814350v1)
to identify their respective Consortia's requirements.


THE DATA IS PROVIDED WITHOUT WARRANTY OF ANY KIND,
EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT.
IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY,
WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE DATA OR THE USE OR OTHER DEALINGS IN THE DATA.

Files

Files (26.6 GB)

Name Size Download all
md5:055b1144bcda2f2bc37f0a10e3beb742
2.9 GB Download
md5:915df87b3db14db1fe3aac4377a54a20
4.8 GB Download
md5:fdf286cf30ce8c5258c92058e8405ae1
10.0 GB Download
md5:2a047bc237027d36a9b86b5c861acb9a
8.9 GB Download

Additional details

Related works

Is part of
Preprint: 10.1101/814350 (DOI)