Welcome to MetaBrain

MetaBrain is a large scale eQTL meta-analysis of previously published human brain eQTL datasets. On this website you can find a browser for the cis-eQTL and trans-eQTL meta-analysis in Cortex samples from European ancestry. Additionally, this website provides a gene network that can be used to annotate genes and to perform gene set enrichment analyses. Full summary statistics for the eQTL analyses will be provided through this website in the near future.

Overview of MetaBrain

Disclosure / Terms of use

By using this website or downloading these data, you and your collaborators (“investigators”) signify your assent to all of the following conditions:
  1. These data are provided on an “AS-IS” and “AS-AVAILABLE” basis for scientific research and educational use only; 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); and without warranty as to the accuracy, completeness, currency or reliability of any content available through this website.
  2. Use of this website and the content available on this website is at investigators’ sole risk. Investigators are responsible for taking all necessary precautions to ensure that any content you may obtain from the website is free of viruses.
  3. MetaBrain results cannot be re-distributed for any purpose.
  4. Investigators certify that they are in compliance with all applicable local, state, and federal laws and/or regulations and institutional policies regarding use of this data (e.g., including regarding human subjects and genetics research).
  5. Investigators will cite the appropriate MetaBrain publication reference(s) when presenting or publishing on results based (directly or indirectly) on this data. (Please refer to references listed below.)
  6. Investigators will never attempt to identify any participant.

How to cite

Please cite: Brain expression quantitative trait locus and network analysis reveals downstream effects and putative drivers for brain-related diseases by N. de Klein et al., bioRxiv, 2021. doi: https://doi.org/10.1101/2021.03.01.433439


For questions, bug reports, or requests, please contact Ellen Tsai (ellen.tsai@biogen.com); Lude Franke (ludefranke@gmail.com); Niek de Klein (niekdeklein@gmail.com); or Harm-Jan Westra (h.j.westra@umcg.nl).