Statistical genetics and its application to neuroimmunology

  • Kotaro Ogawa
  • , Yukinori Okada

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations

Abstract

Statistical genetics is a field involving the analysis of genetic data. With the development of next-generation sequencing and single-nucleotide polymorphism microarrays, the amount of genetic data is increasing rapidly. Genome-wide association studies are one example of the successful application of an approach based on statistical genetics. To shed light on neuroinflammatory diseases, such as multiple sclerosis, >100 000 people have been enrolled in the genome-wide association study meta-analysis, and 200 loci associated with multiple sclerosis have been detected. To utilize these genetic data for clinical medicine, development of novel methods of statistical genetics is warranted. Human leukocyte antigen imputation and in silico drug repositioning are good examples of such approaches.

Original languageEnglish
Pages (from-to)7-12
Number of pages6
JournalClinical and Experimental Neuroimmunology
Volume9
Issue number1
DOIs
StatePublished - Feb 2018
Externally publishedYes

Keywords

  • drug repositioning
  • genome-wide association study
  • human leukocyte antigen imputation
  • multiple sclerosis
  • statistical genetics

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