Skip to main content
Log in

Population data for 20 insertion-null allele markers in the Li ethnic minority from Hainan Province

  • Population Data
  • Published:
International Journal of Legal Medicine Aims and scope Submit manuscript

Abstract

Insertion/null polymorphisms (INNULs) can be used as an alternative marker of STRs to detect the highly degraded samples in forensic cases. In this study, we evaluated the genetic data of 20 INNUL markers in the Innotyper® 21 Human DNA Analysis Kit (InnoGenomics) for Hainan Li population, including allele frequencies and forensic parameters. No significant deviation from Hardy-Weinberg equilibrium and linkage disequilibrium was found in all loci after Bonferroni correction. The combined power of discrimination (CPD) was 0.99999891, the combined power of exclusion for duo paternity testing (CPEduo) was 0.75274389, and the combined power of exclusion for trio paternity testing (CPEtrio) was 0.94766143. These data would be useful for the application of the kit in practice and the research of the kit used in molecular anthropology studies.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  1. Statistical Bureau of Hainan Province, Survey Office of National Bureau of Statistics in Hainan (2019) Hainan Statistics Yearbook. China Statistic Press, China

    Google Scholar 

  2. Sinha S, Murphy G, Brown H, Green A, Montgomery A, Carrol M, Tabak J (2015) Retrotransposable elements: novel and sensitive DNA markers and their application in human identity. Forensic Sci Int Genet Suppl Ser 5:e627–e629

    Article  Google Scholar 

  3. LaRue BL, Sinha SK, Montgomery AH, Thompson R, Klaskala L, Ge J, King J, Turnbough M, Budowle B (2012) INNULs: a novel design amplification strategy for retrotransposable elements for studying population variation. Hum Hered 74:27–35

    Article  CAS  Google Scholar 

  4. Lander ES, Linton LM, Birren B, Nusbaum C, Zody MC, Baldwin J, Devon K, Dewar K, Doyle M, FitzHugh W, Funke R, Gage D, Harris K, Heaford A, Howland J, Kann L, Lehoczky J, LeVine R, McEwan P, McKernan K, Meldrim J, Mesirov JP, Miranda C, Morris W, Naylor J, Raymond C, Rosetti M, Santos R, Sheridan A, Sougnez C, Stange-Thomann Y, Stojanovic N, Subramanian A, Wyman D, Rogers J, Sulston J, Ainscough R, Beck S, Bentley D, Burton J, Clee C, Carter N, Coulson A, Deadman R, Deloukas P, Dunham A, Dunham I, Durbin R, French L, Grafham D, Gregory S, Hubbard T, Humphray S, Hunt A, Jones M, Lloyd C, McMurray A, Matthews L, Mercer S, Milne S, Mullikin JC, Mungall A, Plumb R, Ross M, Shownkeen R, Sims S, Waterston RH, Wilson RK, Hillier LW, McPherson J, Marra MA, Mardis ER, Fulton LA, Chinwalla AT, Pepin KH, Gish WR, Chissoe SL, Wendl MC, Delehaunty KD, Miner TL, Delehaunty A, Kramer JB, Cook LL, Fulton RS, Johnson DL, Minx PJ, Clifton SW, Hawkins T, Branscomb E, Predki P, Richardson P, Wenning S, Slezak T, Doggett N, Cheng JF, Olsen A, Lucas S, Elkin C, Uberbacher E, Frazier M, Gibbs RA, Muzny DM, Scherer SE, Bouck JB, Sodergren EJ, Worley KC, Rives CM, Gorrell JH, Metzker ML, Naylor SL, Kucherlapati RS, Nelson DL, Weinstock GM, Sakaki Y, Fujiyama A, Hattori M, Yada T, Toyoda A, Itoh T, Kawagoe C, Watanabe H, Totoki Y, Taylor T, Weissenbach J, Heilig R, Saurin W, Artiguenave F, Brottier P, Bruls T, Pelletier E, Robert C, Wincker P, Smith DR, Doucette-Stamm L, Rubenfield M, Weinstock K, Lee HM, Dubois J, Rosenthal A, Platzer M, Nyakatura G, Taudien S, Rump A, Yang H, Yu J, Wang J, Huang G, Gu J, Hood L, Rowen L, Madan A, Qin S, Davis RW, Federspiel NA, Abola AP, Proctor MJ, Myers RM, Schmutz J, Dickson M, Grimwood J, Cox DR, Olson MV, Kaul R, Raymond C, Shimizu N, Kawasaki K, Minoshima S, Evans GA, Athanasiou M, Schultz R, Roe BA, Chen F, Pan H, Ramser J, Lehrach H, Reinhardt R, McCombie W, de la Bastide M, Dedhia N, Blöcker H, Hornischer K, Nordsiek G, Agarwala R, Aravind L, Bailey JA, Bateman A, Batzoglou S, Birney E, Bork P, Brown DG, Burge CB, Cerutti L, Chen HC, Church D, Clamp M, Copley RR, Doerks T, Eddy SR, Eichler EE, Furey TS, Galagan J, Gilbert JG, Harmon C, Hayashizaki Y, Haussler D, Hermjakob H, Hokamp K, Jang W, Johnson LS, Jones TA, Kasif S, Kaspryzk A, Kennedy S, Kent WJ, Kitts P, Koonin EV, Korf I, Kulp D, Lancet D, Lowe TM, McLysaght A, Mikkelsen T, Moran JV, Mulder N, Pollara VJ, Ponting CP, Schuler G, Schultz J, Slater G, Smit AF, Stupka E, Szustakowki J, Thierry-Mieg D, Thierry-Mieg J, Wagner L, Wallis J, Wheeler R, Williams A, Wolf YI, Wolfe KH, Yang SP, Yeh RF, Collins F, Guyer MS, Peterson J, Felsenfeld A, Wetterstrand KA, Patrinos A, Morgan MJ, de Jong P, Catanese JJ, Osoegawa K, Shizuya H, Choi S, Chen YJ, Szustakowki J, International Human Genome Sequencing Consortium (2001) Initial sequencing and analysis of the human genome. Nature 409:860–921

    Article  CAS  Google Scholar 

  5. Novick GE, Novick CC, Yunis J, Yunis E, Martinez K, Duncan GG, Troup GM, Deininger PL, Stoneking M, Batzer MA, Herrera RJ (1995) Polymorphic human specific Alu insertions as markers for human identification. Electrophoresis 16:1596–1601

    Article  CAS  Google Scholar 

  6. Mamedov IZ, Shagina IA, Kurnikova MA, Novozhilov SN, Shagin DA, Lebedev YB (2010) A new set of markers for human identification based on 32 polymorphic Alu insertions. Eur J Hum Genet 18:808–814

    Article  CAS  Google Scholar 

  7. van den Berge M, Wiskerke D, Gerretsen RR, Tabak J, Sijen T (2016) DNA and RNA profiling of excavated human remains with varying postmortem intervals. Int J Legal Med 130:1471–1480

    Article  Google Scholar 

  8. Brown H, Thompson R, Murphy G, Peters D, La Rue B, King J, Montgomery AH, Carroll M, Baus J, Sinha S, Wendt FR, Song B, Chakraborty R, Budowle B, Sinha SK (2017) Development and validation of a novel multiplexed DNA analysis system, InnoTyper ® 21. Forensic Sci Int Genet 29:80–99

    Article  CAS  Google Scholar 

  9. Tasker E, LaRue B, Beherec C, Gangitano D, Hughes-Stamm S (2017) Analysis of DNA from post-blast pipe bomb fragments for identification and determination of ancestry. Forensic Sci Int Genet 28:195–202

    Article  CAS  Google Scholar 

  10. Grisedale KS, Murphy GM, Brown H, Wilson MR, Sinha SK (2018) Successful nuclear DNA profiling of rootless hair shafts: a novel approach. Int J Legal Med 132:107–115

    Article  Google Scholar 

  11. Martins C, Ferreira PM, Carvalho R, Costa SC, Farinha C, Azevedo L, Amorim A, Oliveira M (2018) Internal validation of two new retrotransposons-based kits (InnoQuant® HY and InnoTyper ® 21) at a forensic lab. Forensic Sci Int 283:1–8

    Article  CAS  Google Scholar 

  12. Martins C, Ferreira PM, Carvalho R, Costa SC, Farinha C, Azevedo L, Amorim A, Oliveira M (2019) Evaluation of InnoQuant® HY and InnoTyper® 21 kits in the DNA analysis of rootless hair samples. Forensic Sci Int Genet 39:61–65

    Article  CAS  Google Scholar 

  13. Saiz M, Gutierrez-Carvajal A, Galvez X, Lorente JA, Alvarez JC (2019) Population genetic data of 20 insertion-null allele markers in the Andalusian population. Int J Legal Med 133:1397–1400

    Article  Google Scholar 

  14. Ristow PG, Barnes N, Murphy GP, Brown H, Cloete KW, D'Amato ME (2017) Evaluation of the InnoTyper ® 21 genotyping kit in multi-ethnic populations. Forensic Sci Int Genet 30:43–50

    Article  CAS  Google Scholar 

  15. Moura-Neto RS, Mello ICT, Silva R, Maette APC, Bottino CG, Woerner A, King J, Wendt F, Budowle B (2018) Evaluation of InnoTyper ® 21 in a sample of Rio de Janeiro population as an alternative forensic panel. Int J Legal Med 132:149–151

    Article  CAS  Google Scholar 

  16. Kalinowski ST, Taper ML, Marshall TC (2007) Revising how the computer program CERVUS accommodates genotyping error increases success in paternity assignment. Mol Ecol 16:1099–1106

    Article  Google Scholar 

  17. Excoffier L, Lischer HE (2010) Arlequin suite ver 3.5: a new series of programs to perform population genetics analyses under Linux and Windows. Mol Ecol Resour 10:564–567

    Article  Google Scholar 

  18. Saitou N, Nei M (1987) The neighbor-joining method: a new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406–425

    CAS  PubMed  Google Scholar 

  19. Kumar S, Stecher G, Li M, Knyaz C, Tamura K (2018) MEGA X: molecular evolutionary genetics analysis across computing platforms. Mol Biol Evol 35:1547–1549

    Article  CAS  Google Scholar 

Download references

Acknowledgment

We thank the volunteers for participating in this study.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Shujin Li.

Ethics declarations

All procedures performed in the study involving human participants were in accordance with the ethical standards of the Medical Ethics Committee of Hebei Medical University (No. 2018011) and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

Conflict of interest

The authors declare that they have no conflict of interest.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Electronic supplementary material

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Xu, J., Sun, L., Wang, X. et al. Population data for 20 insertion-null allele markers in the Li ethnic minority from Hainan Province. Int J Legal Med 134, 2075–2077 (2020). https://doi.org/10.1007/s00414-020-02424-8

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00414-020-02424-8

Keywords

Navigation