Massively parallel sequencing of autosomal STRs and identity-informative SNPs highlights consanguinity in Saudi Arabia

2019 ◽  
Vol 43 ◽  
pp. 102164 ◽  
Author(s):  
Yahya M. Khubrani ◽  
Pille Hallast ◽  
Mark A. Jobling ◽  
Jon H. Wetton
2019 ◽  
Vol 7 (1) ◽  
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Qingwei Fan ◽  
Yan Wang ◽  
Jing Zhao ◽  
Feng Cheng ◽  
Mengchun Wang ◽  
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2016 ◽  
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pp. 1-7 ◽  
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Eun Hye Kim ◽  
Hwan Young Lee ◽  
In Seok Yang ◽  
Sang-Eun Jung ◽  
Woo Ick Yang ◽  
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2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Suhua Zhang ◽  
Yong Niu ◽  
Yingnan Bian ◽  
Rixia Dong ◽  
Xiling Liu ◽  
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2018 ◽  
Vol 39 (22) ◽  
pp. 2906-2911 ◽  
Author(s):  
Rachel Houston ◽  
Carrie Mayes ◽  
Jonathan L. King ◽  
Sheree Hughes‐Stamm ◽  
David Gangitano

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Ye-Lim Kwon ◽  
Bo Min Kim ◽  
Eun Young Lee ◽  
Kyoung-Jin Shin

AbstractThe introduction of massively parallel sequencing (MPS) in forensic investigation enables sequence-based large-scale multiplexing beyond size-based analysis using capillary electrophoresis (CE). For the practical application of MPS to forensic casework, many population studies have provided sequence data for autosomal short tandem repeats (STRs). However, SE33, a highly polymorphic STR marker, has little sequence-based data because of difficulties in analysis. In this study, 25 autosomal STRs were analyzed, including SE33, using an in-house MPS panel for 350 samples from four populations (African–American, Caucasian, Hispanic, and Korean). The barcoded MPS library was generated using a two-step PCR method and sequenced using a MiSeq System. As a result, 99.88% genotype concordance was obtained between length- and sequence-based analyses. In SE33, the most discordances (eight samples, 0.08%) were observed because of the 4 bp deletion between the CE and MPS primer binding sites. Compared with the length-based CE method, the number of alleles increased from 332 to 725 (2.18-fold) for 25 autosomal STRs in the sequence-based MPS method. Notably, additional 129 unique alleles, a 4.15-fold increase, were detected in SE33 by identifying sequence variations. This population data set provides sequence variations and sequence-based allele frequencies for 25 autosomal STRs.


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