Published July 2, 2018 | Version 1
Dataset Open

Genome-wide association summary statistics for human healthspan

  • 1. Gero LLC, Novokuznetskaya street 24/2, Moscow 119017, Russia
  • 2. Novosibirsk State University, Pirogova 2, 630090, Novosibirsk, Russia

Description

The dataset contains genome-wide association summary statistics computed for heathspan. The UKB sub-population of 300,447 genetically Caucasian, British individuals were analyzed. For more details see [1].

The data are provided on an "AS-IS" basis, without warranty of any type, expressed or implied, including but not limited to any warranty as to their performance, merchantability, or fitness for any particular purpose. If investigators use these data, any and all consequences are entirely their responsibility. By downloading and using these data, you agree that you will cite the appropriate publication in any communications or publications arising directly or indirectly from these data; for utilisation of data available prior to publication, you agree to respect the requested responsibilities of resource users under 2003 Fort Lauderdale principles; you agree that you will never attempt to identify any participant. This research has been conducted using the UK Biobank Resource and the use of the data is guided by the principles formulated by the UK Biobank.

When using downloaded data, please cite corresponding paper and this repository:

  1. Zenin, A., Tsepilov, Y., Sharapov, S., Getmantsev, E., Menshikov, L. I., Fedichev, P. O., & Aulchenko, Y. (2019). Identification of 12 genetic loci associated with human healthspan. Communications Biology, 2(1), 41. http://doi.org/10.1038/s42003-019-0290-0
  2. Aleksandr Zenin, Yakov Tsepilov, Sodbo Sharapov, Evgeny Getmantsev, Leonid Menshikov, Peter Fedichev, & Yurii Aulchenko. (2018). Genome-wide association summary statistics for human healthspan (Version 1) [Data set]. Zenodo. http://doi.org/10.5281/zenodo.1302861

Funding

The work was supported by Russian Ministry of Science and Education under 5-100 Excellence Programme. 
The work was supported by the Federal Agency of Scientific Organizations via the Institute of Cytology and Genetics (project #0324-2018-0017). 
This research has been conducted using the UK Biobank Resource. 
The study has been funded by Gero LLC.

Column headers:

  1. SNPID - SNP rsID
  2. chr - chromosome
  3. pos - position (GRCh37 build / hg19)
  4. EA - effective allele (coded as "1")
  5. RA - reference allele (coded as "0")
  6. EAF - effective allele frequency
  7. beta - effect size of effective allele
  8. se - standard error of effect size
  9. Z - Z-value of association
  10. -log10(p-value) - minus log10(P-value) of association

Files

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Additional details

Related works

Is supplement to
10.1101/300889 (DOI)