Characterization of genetic polymorphisms in Nigerians residing in Guangzhou using massively parallel sequencing.
Black People
/ genetics
China
Chromosomes, Human, X
Chromosomes, Human, Y
DNA Fingerprinting
Female
Gene Frequency
Genetics, Population
Genotype
Heterozygote
High-Throughput Nucleotide Sequencing
Humans
Male
Microsatellite Repeats
Nigeria
/ ethnology
Polymorphism, Single Nucleotide
Sequence Analysis, DNA
Forensic genetics
Massively parallel sequencing
Nigerian population
Short tandem repeat
Single nucleotide polymorphism
Journal
Forensic science international. Genetics
ISSN: 1878-0326
Titre abrégé: Forensic Sci Int Genet
Pays: Netherlands
ID NLM: 101317016
Informations de publication
Date de publication:
09 2020
09 2020
Historique:
received:
16
01
2020
revised:
21
05
2020
accepted:
03
06
2020
pubmed:
24
6
2020
medline:
13
7
2021
entrez:
24
6
2020
Statut:
ppublish
Résumé
African populations exhibit extensive linguistic and cultural diversity but are less studied from a population genetic standpoint. Although much genetic data on admixed African individuals, such as African Americans, have been published, genetic polymorphism data, especially that based on sequence-based typing, are still insufficient in indigenous Africans. In this study, we examined the genetic diversity of 85 Nigerians residing in Guangzhou, China. Forensically relevant genetic markers, including autosomal short tandem repeats (A-STRs), X-chromosomal STRs (X-STRs), Y-chromosomal STRs (Y-STRs), and identity-informative single nucleotide polymorphisms (iiSNPs) were genotyped to uncover the genetic polymorphisms of this population. Sequence-based allelic variations were observed in 22 A-STRs, ten Y-STRs, and four X-STRs. Using massively parallel sequencing (MPS), the allele number increased from 475 length-based alleles to 683 sequence-based alleles. Compared to other populations, the overall observed heterozygosity of the 27 A-STRs was the highest in Nigerians, which reflected the higher genetic diversity of this population. The combined match probability of the 27 A-STRs was low at 9.06 × 10
Identifiants
pubmed: 32574994
pii: S1872-4973(20)30096-X
doi: 10.1016/j.fsigen.2020.102323
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
102323Informations de copyright
Copyright © 2020 Elsevier B.V. All rights reserved.