2022
DOI: 10.1016/j.forsciint.2022.111509
|View full text |Cite
|
Sign up to set email alerts
|

Inferring bio-geographical ancestry with 35 microhaplotypes

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2022
2022
2025
2025

Publication Types

Select...
6
1

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(2 citation statements)
references
References 40 publications
0
2
0
Order By: Relevance
“…The outcome of this population genetics evaluation further corroborates the robustness and reliability of this STR dataset. Despite all the applications already addressed in the beginning of this section, the most important contribution of this open access genotype dataset probably lies in the fact that it may be used to estimate and establish additional population genetics parameters that may be taken as direct references in many studies that are using the 1000 Genomes Project dataset to retrieve new sets of SNPs, indels and microhaplotypes in various efforts to maximize intelligence from DNA evidence [ 27 , 47 , 48 , 49 , 50 ].…”
Section: Discussionmentioning
confidence: 99%
“…The outcome of this population genetics evaluation further corroborates the robustness and reliability of this STR dataset. Despite all the applications already addressed in the beginning of this section, the most important contribution of this open access genotype dataset probably lies in the fact that it may be used to estimate and establish additional population genetics parameters that may be taken as direct references in many studies that are using the 1000 Genomes Project dataset to retrieve new sets of SNPs, indels and microhaplotypes in various efforts to maximize intelligence from DNA evidence [ 27 , 47 , 48 , 49 , 50 ].…”
Section: Discussionmentioning
confidence: 99%
“…The outcome of this population genetics evaluation further corroborates the robustness and reliability of this STR dataset. Despite all the applications already addressed in the beginning of this section, the most important contribution of this open access genotype dataset probably lies in the fact that it may be used to estimate and establish additional population genetics parameters that may be taken as direct references in many studies that are using the 1000 Genomes Project dataset to retrieve new sets of SNPs, indels and microhaplotypes in various efforts to maximize intelligence from DNA evidence (de la Puente et al, 2021;Phillips et al, 2020;Lan et al, 2020;Huang et al, 2022).…”
Section: Resultsmentioning
confidence: 99%