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Gene-methylation interactions: discovering region-wise DNA methylation levels that modify SNP-associated disease risk.

Julia RomanowskaØystein A HaalandAstanand JugessurMiriam GjerdevikZongli XuJack TaylorAllen J WilcoxInge JonassenRolv T LieHåkon K Gjessing
Published in: Clinical epigenetics (2020)
The new methods, G ×Me and PoO ×Me, integrate DNA methylation in the assessment of genetic relative risks and thus enable a more comprehensive biological interpretation of genome-wide scans. Moreover, our strategy of condensing DNA methylation levels within regions helps overcome specific disadvantages of using sparse chip-based measurements. The methods are implemented in the freely available R package Haplin ( https://cran.r-project.org/package=Haplin ), enabling fast scans of multi-omics datasets.
Keyphrases
  • genome wide
  • dna methylation
  • copy number
  • gene expression
  • computed tomography
  • quality improvement
  • high throughput
  • contrast enhanced
  • climate change
  • rna seq