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Summary-level data from meta-analysis of fat distribution phenotypes in UK Biobank and GIANT

Sara L Pulit


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  <identifier identifierType="DOI">10.5281/zenodo.1251813</identifier>
  <creators>
    <creator>
      <creatorName>Sara L Pulit</creatorName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-2502-3669</nameIdentifier>
      <affiliation>University Medical Center Utrecht</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Summary-level data from meta-analysis of fat distribution phenotypes in UK Biobank and GIANT</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <dates>
    <date dateType="Issued">2018-05-23</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset"/>
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    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/1251813</alternateIdentifier>
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    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.1251812</relatedIdentifier>
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  <rightsList>
    <rights rightsURI="http://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;~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~&lt;/p&gt;

&lt;p&gt;Summary-level data as presented in:&lt;/p&gt;

&lt;p&gt;&amp;quot;Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry.&amp;quot; Pulit, SL et al. bioRxiv, 2018. https://www.biorxiv.org/content/early/2018/04/18/304030&lt;/p&gt;

&lt;p&gt;**If you use these data, please cite the above preprint.&lt;/p&gt;

&lt;p&gt;If you have any questions or comments regarding these files, please contact me:&lt;/p&gt;

&lt;p&gt;Sara L Pulit&lt;br&gt;
spulit@well.ox.ac.uk or s.l.pulit@umcutrecht.nl&lt;/p&gt;

&lt;p&gt;~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;(1) Data files&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;&lt;em&gt;i. whradjbmi.giant-ukbb.meta-analysis.combined.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of waist-to-hip ratio adjusted for body mass index (whradjbmi) in UK Biobank and GIANT data. Combined set of samples, max N = 694,649.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;ii. whradjbmi.giant-ukbb.meta-analysis.females.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of whradjbmi in UK Biobank and GIANT data. Female samples only, max N = 379,501.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;iii. whradjbmi.giant-ukbb.meta-analysis.males.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of whradjbmi in UK Biobank and GIANT data. Male samples only, max N = 315,284.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;iv. whr.giant-ukbb.meta-analysis.combined.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of waist-to-hip ratio (whr) in UK Biobank and GIANT data. Combined set of samples, max N = 697,734.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;v. whr.giant-ukbb.meta-analysis.females.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of whr in UK Biobank and GIANT data. Female samples only, max N = 381,152.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;vi. whr.giant-ukbb.meta-analysis.males.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of whr in UK Biobank and GIANT data. Male samples only, max N = 316,772.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;vii. bmi.giant-ukbb.meta-analysis.combined.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of body mass index (bmi) in UK Biobank and GIANT data. Combined set of samples, max N = 806,834.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;viii. bmi.giant-ukbb.meta-analysis.females.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of bmi in UK Biobank and GIANT data. Female samples only, max N = 434,794.&lt;/p&gt;

&lt;p&gt;&lt;em&gt;ix. bmi.giant-ukbb.meta-analysis.males.23May2018.txt&lt;/em&gt;&lt;br&gt;
Meta-analysis of bmi in UK Biobank and GIANT data. Male samples only, max N = 374,756.&lt;/p&gt;

&lt;p&gt;&lt;strong&gt;(2) Data file format&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;CHR:&amp;nbsp;Chromosome&lt;/p&gt;

&lt;p&gt;POS:&amp;nbsp;Chromosomal position of the SNP, build hg19&lt;/p&gt;

&lt;p&gt;SNP: the dbSNP151 identifier of the SNP, followed by the first allele and second allele of the SNP, delimited with a colon. A small number of SNPs (&amp;lt;9,000) from the GIANT data had no dbSNP151 identifier, and are left as just an rsID. Note that these SNPs are also missing chromosome and position information (not provided in the GIANT data).&lt;/p&gt;

&lt;p&gt;Tested_Allele: the allele for which all association statistics are reported&lt;/p&gt;

&lt;p&gt;Other_Allele: the other allele at the SNP&lt;/p&gt;

&lt;p&gt;Freq_Tested_Allele:&amp;nbsp;frequency of the tested allele&lt;/p&gt;

&lt;p&gt;BETA: the effect size of the tested allele&lt;/p&gt;

&lt;p&gt;SE: the standard error of the beta&lt;/p&gt;

&lt;p&gt;P:&amp;nbsp;the p-value of the SNP, as reported from the inverse variance-weighted fixed effects meta-analysis&lt;/p&gt;

&lt;p&gt;N:&amp;nbsp;the total sample size for this SNP&lt;/p&gt;

&lt;p&gt;INFO: the imputation quality (info score) of the SNP, as reported by UK Biobank. A number between 0 and 1 indicating quality of imputation (0, poor quality; 1, high quality or genotyped). Note that the summary-level GIANT data does not report info score, so SNPs appearing only in the GIANT analysis do not have info scores.&lt;/p&gt;</description>
  </descriptions>
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