Paternity Test Through Kinship Analysis as Forensic Identification Technique

Ahmad Yudianto, Fery Setiawan, Reni Sumino

Abstract


Paternity tests is often faced with the unavailability of information from the father, mother, or child as a comparison in forensic DNA examination process. Therefore, comparisons with information from close family lines are needed, for example from the victim's siblings or the perpetrator if there are no comparisons from parents or siblings. This study was conducted by the Human Genetic Study Group of Airlangga University in its campus from January to April 2020. The aim of the study was to analyze the use of kinship analysis in paternity test through STR CODIS examination on siblings. This was an observational laboratory study with a temporary design. DNA sample extraction level and purity results were measured with the mean DNA sample level of 675±5.35ng/µL, while the purity values ranged from 1.05 to 1.86. The paternity test principle is based on comparison process between the parents’ alleles with the child’s alleles. However, if the parents’ alleles are not available, the siblings’ alleles can be used as a comparison for identification purpose, which is known as kinship analysis. Statistically, full siblings have a 2 alleles accuracy probability of [0.25] 25%, which was the same as not having the same allele or 0 allele, while 1 allele accuracy reached 50%. All CODIS STR loci had the highest percentage of 2 allele sharing. Therefore, it is recommended to use sibling or kinship analysis if both parents are absent.


Keywords


Kinship analysis; paternity test; sibling; STR CODIS.

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References


Fraige K, Travensolo RF, Carrilho E. Analysis of seven human loci for paternity testing by microchip electrophoresis. Braz Arch Biol. Technol. 2013;56(2):213–21.

Yudianto A. Pemeriksaan identifikasi forensik molekuler. Surabaya: Global Persada Press; 2015.

Syukriani YF. DNA forensik. Jakarta: Sagung Seto; 2012.

Jaber MMT, Mohamed NS, Ahmed NS. Study genetic variation of 15 Autosomal short tandem repeat (STR) loci in Maysan Muslim individuals. Journal of Engineering Science and Technology Review. 2018;2(8):1148–60.

Butler JM. The future of forensic DNA analysis. Philos Trans R Soc Lond B Biol Sci. 2015;370(1674):20140252.

Elston RC, Satagopan JM, Sun S. Genetic terminology. Methods Mol Biol. 2012;850:1–9.

Mangoendidjojo W. Genetika populasi. Yogyakarta: Gadjah Mada University Press; 2014.

Negi DS, Shrivastava P, Das SP. Biochemical characterization of Molecular Markers for Human Genetic Identification in Paternity testing by DNA profiling. Asian Journal of Biomedical and Pharmaceutical Sciences. 2014;4(37):52–6.

Li JN, Luo HB, Song F, Hou YP. Genetic polymorphisms of 22 autosomal STR loci in Chinese Han population. Forensic Sci Int. 2015;5:e45–7.

Prastowo W, Lyrawati D, Andarini S, Mintaroem K. Allele frequencies of STR CODIS 13 of Madura Ethnic from Bangkalan and Probolinggo. Research Journal of Life Science. 2018;5(2):116–20.

O’Connor KL. Interpretation of DNA typing results for kinship analysis. Washington DC: National Institute of Standards and Technology USCIS Working Group on DNA Policy; 2011.

Hares DR. Selection and implementation of expanded CODIS core loci inthe United States. Forensic Sci Int Genet. 2015;17:33–4.

Maeda K, Murakami C, Irie W, Sasaki C, Oishi M, Nakamaru N, et al. The case of 2 siblings that identified not only by DNA profiling. For Sci Int. 2015;5:e555–6.

Marano LA, Fridman C. DNA phenotyping: current application in forensic science. Res Rep in Forensic Med Sci. 2018;9:1–8.

Sosiawan A, Yudianto A, Furqoni AH, Nzilibili SM and Indah N. Full-Sibling Allelic frequency and sharing among Madurese: STR technique by 12 locus and the sex-typing amelogenin gene. Egypt J For Sci. 2019;9:38.




DOI: https://doi.org/10.15395/mkb.v53n1.2154

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