| License: Creative Commons Attribution 4.0 PDF - Published Version (794kB) |
- URN to cite this document:
- urn:nbn:de:bvb:355-epub-440913
- DOI to cite this document:
- 10.5283/epub.44091
Abstract
Over the last 15 years, genome-wide association studies (GWAS) have greatly advanced our understanding of the genetic landscape of complex phenotypes. Nevertheless, causal interpretations of GWAS data are challenging but crucial to understand underlying mechanisms and pathologies. In this review, we explore to what extend the research community follows up on GWAS data. We have traced the ...

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