Dept of Clinical Sciences Malmö
CRC, SUS Malmö, Building 60, floor 13
Jan Waldenströms gata 35
SE-205 02 Malmö, Sweden


+46 40 391237


+46 40 391222




Nikolay Oskolkov

Associate Researcher

I have a background in Soft Matter theoretical physics and currently combining it with bioinformatics methods in applications to type 2 diabetes (T2D) research.

Current project

  1. We study mechanical properties of TCF7L2 gene known to have strongest association with T2D. We use molecular dynamics computer simulations of TCF7L2 deformability and its interaction with proteins as well as dynamic light scattering (DLS) and small angle X-ray scattering (SAXS) experiments.
  2. Using RNA-seq data for human pancreatic islets we apply eQTL, sQTL, differential gene expression, differential exon usage and co-expression analyses in order to study TCF7L2target genes and splicing behavior of TCF7L2.
  3. Within the frameworks of "Exercise as prevention for T2D" project we performed GWAS and eQTL analyses on human skeletal muscle fibretypes in order to identify functional variants associated with fibretype composition.
  4. We are currently working on the RNA-sequencing of human skeletal muscle biopsies from Botnia cohort in order to understand the role of exercise on the gene expression and splicing patterns in human muscles.
  5. We are working on the RNA-sequencing of apes skeletal muscle biopsies from chimpanzees, gorillas, macaques, orangutans and banobos in order to study splicing pattern differences between humans and apes.
  6. Using GWAS results on human skeletal muscle fibretypes, we are developing a method of phenotype prediction based on the analysis of multiple loci in human genome associated with certain type of muscles. The pilot study was performed using NGS data of Neanderthal genome in order to predict fibretype composition of Neanderthas.

Last updated: March 18, 2014
Website contact: LUDC webteam

LUDC, CRC, SUS Malmö, Entrance 72, House 91:12. SE-205 02 Malmö. Telephone: +46 40 39 10 00