Summary statistics

This folder contains summary statistics that we use in use cases throughout containers.

If you use this data you must comply with requirements established by the authors of these datasets. The links and a summary of these requirements is provided below.

• clozuk_pgc2.meta.sumstats.txt.gz, obtained from https://walters.psycm.cf.ac.uk/

  Citation: Pardiñas AF, Holmans P, Pocklington AJ, Escott-Price V, Ripke S, Carrera N, et al. 
  Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong 
  background selection. Nat Genet. 2018. doi: 10.1038/s41588-018-0059-2.
  
  DISCLAIMER: These data are provided "as is", and without warranty, for scientific and educational use only.
  If you download these data, you acknowledge that these data will be used only for non-commercial 
  research purposes; that the investigator is in compliance with all applicable state, local, and 
  federal laws or regulations and institutional policies regarding human subjects and genetics 
  research; that secondary distribution of the data without registration by secondary parties is 
  prohibited; and that the investigator will cite the appropriate publication in any communications 
  or publications arising directly or indirectly from these data. You also acknowledge that yourself 
  or any member of your research team will never attempt to identify any participant in these studies.
  

• SavageJansen_2018_intelligence_metaanalysis.txt.gz, obtained from https://ctg.cncr.nl/software/summary_statistics (original file named SavageJansen_IntMeta_sumstats.zip, extracted and re-packed into .gz)

  Summary statistics for intelligence, wave 2 from Jeanne Savage et al., 2018, 
  Genome-wiide association meta-analysis (N=269,867) identifies new genetic and 
  functional links to intelligence. Nature Genetics, 2018 Jul;50(7):912-919
  
  Please cite this reference when using the summary statistics.
  
  This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 
  (https://creativecommons.org/licenses/by-nc-sa/4.0/). In addition, when downloading the sumstats you agree not 
  to attempt to identify individual participants and not to use the sumstats for projects that may lead to 
  stigmatizing individuals or groups of individuals.
  

• Morningness_sumstats_Jansenetal.txt.gz, obtained from https://ctg.cncr.nl/software/summary_statistics (original file named Morningness_sumstats_Jansenetal.txt.gz, extracted and re-packed into .gz)

   Summary statistics for Insomnia, wave 2 from Philip Jansen et al., 2019
   Jansen PR, Watanabe K, Stringer S, Skene N, Bryois J, Hammerschlag AR, de Leeuw CA, Benjamins JS, Muñoz-Manchado AB, Nagel M, Savage JE, Tiemeier H, White T;       23andMe Research Team, Tung JY, Hinds DA, Vacic V, Wang X, Sullivan PF, van der Sluis S, Polderman TJC, Smit AB, Hjerling-Leffler J, Van Someren EJW, Posthuma       D. Genome-wide analysis of insomnia in 1,331,010 individuals identifies new risk loci and functional pathways . Nature Genetics 2019 Mar;51(3):394-403. doi:         10.1038/s41588-018-0333-3.
  
  Please cite this reference when using the summary statistics.
  
  This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License 
  (https://creativecommons.org/licenses/by-nc-sa/4.0/). In addition, when downloading the sumstats you agree not 
  to attempt to identify individual participants and not to use the sumstats for projects that may lead to 
  stigmatizing individuals or groups of individuals.