Literature DB >> 16360294

Developing a SNP panel for forensic identification of individuals.

Kenneth K Kidd1, Andrew J Pakstis, William C Speed, Elena L Grigorenko, Sylvester L B Kajuna, Nganyirwa J Karoma, Selemani Kungulilo, Jong-Jin Kim, Ru-Band Lu, Adekunle Odunsi, Friday Okonofua, Josef Parnas, Leslie O Schulz, Olga V Zhukova, Judith R Kidd.   

Abstract

Single nucleotide polymorphisms (SNPs) are likely in the near future to have a fundamental role in forensics in both human identification and description. However, considerable research is necessary to establish adequate scientific foundations for these applications. In the case of identification, because allele frequencies can vary greatly among populations, the population genetics of match probabilities is a critical issue. Some SNPs, however, show little allele frequency variation among populations while remaining highly informative. We describe here both an efficient strategy for identifying and characterizing such SNPs, and test that strategy on a broad representation of world populations. Markers with high heterozygosity and little frequency variation among African American, European American, and East Asian populations are selected for additional screening on seven populations that provide a sampling of genetic variation from the world's major geographical regions. Those with little allele frequency variation on the seven populations are then screened on a total of 40 populations ( approximately 2100 individuals) and the most promising retained. The preliminary panel of 19 SNPs, from an initial selection of 195 SNPs, gives an average match probability of <10(-7) in most of 40 populations studied and no greater than 10(-6) in the most isolated, inbred populations. Expansion of this panel to approximately 50 comparable SNPs should give match probabilities of about 10(-15) with a small global range.

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Year:  2005        PMID: 16360294     DOI: 10.1016/j.forsciint.2005.11.017

Source DB:  PubMed          Journal:  Forensic Sci Int        ISSN: 0379-0738            Impact factor:   2.395


  61 in total

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Authors:  Bobby L LaRue; Jianye Ge; Jonathan L King; Bruce Budowle
Journal:  Int J Legal Med       Date:  2012-01-15       Impact factor: 2.686

2.  Assessment of DNA degradation and the genotyping success of highly degraded samples.

Authors:  Sheree R Hughes-Stamm; Kevin J Ashton; Angela van Daal
Journal:  Int J Legal Med       Date:  2010-04-24       Impact factor: 2.686

3.  Genotyping of 75 SNPs using arrays for individual identification in five population groups.

Authors:  Hsiao-Lin Hwa; Lawrence Shih Hsin Wu; Chun-Yen Lin; Tsun-Ying Huang; Hsiang-I Yin; Li-Hui Tseng; James Chun-I Lee
Journal:  Int J Legal Med       Date:  2015-08-22       Impact factor: 2.686

4.  Candidate SNPs for a universal individual identification panel.

Authors:  Andrew J Pakstis; William C Speed; Judith R Kidd; Kenneth K Kidd
Journal:  Hum Genet       Date:  2007-02-27       Impact factor: 4.132

5.  Haplotype block: a new type of forensic DNA markers.

Authors:  Jianye Ge; Bruce Budowle; John V Planz; Ranajit Chakraborty
Journal:  Int J Legal Med       Date:  2009-12-22       Impact factor: 2.686

6.  Identifying individuals in a complex mixture of DNA with unknown ancestry.

Authors:  Joshua Sampson; Hongyu Zhao
Journal:  Stat Appl Genet Mol Biol       Date:  2009-09-09

7.  SNPs for a universal individual identification panel.

Authors:  Andrew J Pakstis; William C Speed; Rixun Fang; Fiona C L Hyland; Manohar R Furtado; Judith R Kidd; Kenneth K Kidd
Journal:  Hum Genet       Date:  2010-03       Impact factor: 4.132

8.  Development of SNP-based human identification system.

Authors:  Jae-Jung Kim; Bok-Ghee Han; Hae-In Lee; Han-Wook Yoo; Jong-Keuk Lee
Journal:  Int J Legal Med       Date:  2010-03       Impact factor: 2.686

9.  Selection of 29 highly informative InDel markers for human identification and paternity analysis in Chinese Han population by the SNPlex genotyping system.

Authors:  Chengtao Li; Suhua Zhang; Li Li; Jingzhong Chen; Yan Liu; Shumin Zhao
Journal:  Mol Biol Rep       Date:  2011-06-18       Impact factor: 2.316

10.  Improved resolution haplogroup G phylogeny in the Y chromosome, revealed by a set of newly characterized SNPs.

Authors:  Lynn M Sims; Dennis Garvey; Jack Ballantyne
Journal:  PLoS One       Date:  2009-06-04       Impact factor: 3.240

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