Forensic genetic informativeness of an SNP panel consisting of 19 multi-allelic SNPs.
Forensic Sci Int Genet
; 34: 49-56, 2018 05.
Article
in En
| MEDLINE
| ID: mdl-29413635
ABSTRACT
Current research focusing on forensic personal identification, phenotype inference and ancestry information on single-nucleotide polymorphisms (SNPs) has been widely reported. In the present study, we focused on tetra-allelic SNPs in the Chinese Han population. A total of 48 tetra-allelic SNPs were screened out from the Chinese Han population of the 1000 Genomes Database, including Chinese Han in Beijing (CHB) and Chinese Han South (CHS). Considering the forensic genetic requirement for the polymorphisms, only 11 tetra-allelic SNPs with a heterozygosity >0.06 were selected for further multiplex panel construction. In order to meet the demands of personal identification and parentage identification, an additional 8 tri-allelic SNPs were combined into the final multiplex panel. To ensure application in the degraded DNA analysis, all the PCR products were designed to be 87-188â¯bp. Employing multiple PCR reactions and SNaPshot minisequencing, 511 unrelated Chinese Han individuals from Sichuan were genotyped. The combined match probability (CMP), combined discrimination power (CDP), and cumulative probability of exclusion (CPE) of the panel were 6.07â¯×â¯10-11, 0.9999999999393 and 0.996764, respectively. Based on the population data retrieved from the 1000 Genomes Project, Fst values between Chinese Han in Sichuan (SCH) and all the populations included in the 1000 Genomes Project were calculated. The results indicated that two SNPs in this panel may contain ancestry information and may be used as markers of forensic biogeographical ancestry inference.
Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Ethnicity
/
Polymorphism, Single Nucleotide
/
Alleles
/
Genetics, Population
Limits:
Humans
Country/Region as subject:
Asia
Language:
En
Journal:
Forensic Sci Int Genet
Journal subject:
GENETICA
/
JURISPRUDENCIA
Year:
2018
Document type:
Article
Affiliation country:
China