Background : Genetic variation refers to differences in the genetic makeup of individuals in a population. Genetic disease is mostly caused by familiarity in the genetic code. Genetic variation is necessary in natural selection. In natural selection, organisms with environmentally selected traits are better able to adapt to the environment and pass on their genes. This study aims to evaluate the variation of method of producing human liver projenitor cells by direct reprogramming.

Methods : Data obtained from 6 sequences of method of producing human liver projenitor cells by direct reprogramming sequence on secondary data form on https://www.ncbi.nlm.nih.gov/. The phylogeny analysis of variations and relationships of DNA sequences Constructed with Neighbor Joining using MEGA software.

Results : Based on the analysis of variations, it is known that on the dendogram, 6 sequences were divided into 2 main groups, namely groups A consisting of 4 specimens and groups B consisting of 4 specimens. The optimal tree with the sum of branch length = 23.10190808 is shown. The tree is drawn to scale, with branch lengths in the same units as those of the evolutionary distances used to infer the phylogenetic tree. The evolutionary distances were computed using the Maximum Composite Likelihood method and are in the units of the number of base substitutions per site. The proportion of sites where at least 1 unambiguous base is present in at least 1 sequence for each descendent clade is shown next to each internal node in the tree. The analysis involved 6 nucleotide sequences. All positions containing gaps and missing data were eliminated. There were a total of 2046 positions in the final dataset.

Conclusions : The variation method of producing human liver projenitor cells by direct reprogramming was quite varied. Information genetic variation can be used as an informative source to assembly of superior genes in living of human cells.