Analyzing Pattern of Mutation in mtDNA Using Markov Chain

• Main Authors: Lira Adiyani, Sutawanir Darwis, Achmad Saifuddin Noer
• Format: Article
• Language: Indonesian
• Published: Universitas Islam Bandung 2014-10-01
• Series: Statistika
• Online Access: http://ejournal.unisba.ac.id/index.php/statistika/article/view/982

Mutation in mtDNA becomes an interesting topic that needed to discuss. If someone has a mutation in his mtDNA, then it might be affect his health. Those effects could be some diseases or another variation that gives different characteristics. In study of mutation, there are two such things become the main problems: (1) does mutation occur dependently? and (2) what is the pattern? From the research (by 9 degrees of freedom χ2), DNA sequence shows a positional dependence. In addition, we can also see a positional dependence in mtDNA sequence clearly (position i-1, i, i+1 are dependent with i define as mutation) by sign test, which means, it is possibly that there is a pattern of mutation. This paper uses Markov chain to quantify the pattern and as results all bases will mutate if position i+1 is C or cytosine (±40%). Moreover, A, C, and G will mutate (become T) if position i-1 is A or adenine (54.5%).