Dataset Open Access

GTEx v8 Elastic Net prediction models

Barbeira, Alvaro Numa; Bonazzola, Rodrigo; Gamazon, Eric R; Liang, Yanyu; Park, YoSon; Kim-Hellmuth, Sarah; Wang, Gao; Jiang, Zhuoxun; Zhou, Dan; Hormozdiari, Farhad; Liu, Boxiang; Rao, Abhiram; Hamel, Andrew R; Pividori, Milton D; Aguet, François; Bastarache, Lisa; Jordan, Daniel M; Verbanck, Marie; Do, Ron; Stephens, Matthew; Ardlie, Kristin; McCarthy, Mark; Montgomery, Stephen B; Segré, Ayellet V; Brown, Christopher D; Lappalainen, Tuuli; Wen, Xiaoquan; Im, Hae Kyung


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      <creatorName>Gamazon, Eric R</creatorName>
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      <creatorName>Zhou, Dan</creatorName>
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      <creatorName>Hormozdiari, Farhad</creatorName>
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      <creatorName>Liu, Boxiang</creatorName>
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      <affiliation>Stanford University</affiliation>
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      <creatorName>Rao, Abhiram</creatorName>
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      <affiliation>Stanford University</affiliation>
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      <creatorName>Hamel, Andrew R</creatorName>
      <givenName>Andrew R</givenName>
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      <creatorName>Pividori, Milton D</creatorName>
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      <affiliation>The University of Chicago</affiliation>
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      <creatorName>Aguet, François</creatorName>
      <givenName>François</givenName>
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      <creatorName>Bastarache, Lisa</creatorName>
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      <creatorName>Jordan, Daniel M</creatorName>
      <givenName>Daniel M</givenName>
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      <creatorName>Verbanck, Marie</creatorName>
      <givenName>Marie</givenName>
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      <creatorName>Do, Ron</creatorName>
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      <creatorName>Montgomery, Stephen B</creatorName>
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      <affiliation>Stanford University</affiliation>
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      <creatorName>Segré, Ayellet V</creatorName>
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      <creatorName>Brown, Christopher D</creatorName>
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      <affiliation>University of Pennsylvania</affiliation>
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      <creatorName>Lappalainen, Tuuli</creatorName>
      <givenName>Tuuli</givenName>
      <familyName>Lappalainen</familyName>
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      <affiliation>New York Genome Center</affiliation>
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      <creatorName>Wen, Xiaoquan</creatorName>
      <givenName>Xiaoquan</givenName>
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      <affiliation>University of Michigan</affiliation>
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      <creatorName>Im, Hae Kyung</creatorName>
      <givenName>Hae Kyung</givenName>
      <familyName>Im</familyName>
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      <affiliation>The University of Chicago</affiliation>
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  </creators>
  <titles>
    <title>GTEx v8 Elastic Net prediction models</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>gtex gwas predixcan eqtl sqtl</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-11-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3519321</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsPartOf" resourceTypeGeneral="Text">10.1101/814350</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3519320</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Elastic Net prediction models and LD reference (PrediXcan/MultiXcan support, individual-level or summary-level versions)&lt;/p&gt;

&lt;p&gt;# Data usage policy&lt;/p&gt;

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

&lt;p&gt;&amp;nbsp;&lt;/p&gt;

&lt;p&gt;# Disclaimer&lt;/p&gt;

&lt;p&gt;The data is provided &amp;quot;as is&amp;quot;, and the authors assume no responsibility for errors or omissions. &amp;nbsp;&lt;br&gt;
The User assumes the entire risk associated with its use of these data. &amp;nbsp;&lt;br&gt;
The authors shall not be held liable for any use or misuse of the data described and/or contained herein. &amp;nbsp;&lt;br&gt;
The User bears all responsibility in determining whether these data are fit for the User&amp;#39;s intended use. &amp;nbsp;&lt;/p&gt;

&lt;p&gt;The information contained in these data is not better than the original sources from which they were derived,&lt;br&gt;
and both scale and accuracy may vary across the data set. &amp;nbsp;&lt;br&gt;
These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics&lt;br&gt;
appropriate for applications that potential users of the data may contemplate. &amp;nbsp;&lt;br&gt;
&amp;nbsp;&lt;br&gt;
The user is responsible to comply with any data usage policy from the original GWAS studies;&lt;br&gt;
refer to the list of traits described [here](https://www.biorxiv.org/content/10.1101/814350v1)&lt;br&gt;
to identify their respective Consortia&amp;#39;s requirements.&lt;/p&gt;

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