Data Publication

U.S. population data for human identification markers

Part of the Forensics Science Data Collection

Lisa Borsuk

, Katherine Gettings

, Kevin Kiesler

, Becky Steffen

, Peter Vallone

Contact: Katherine Gettings.

Identifier: doi:10.18434/t4/1500024

Version: 1.3... Revised: 2023-05-31

The primary data consist of allele or haplotype frequencies for N=1036 anonymized U.S. population samples. Additional files are supplements to the associated publications. Any changes to spreadsheets are listed in the "Change Log" tab within each spreadsheet. DOI numbers for associated publications are listed below, under "References".

Research Areas

NIST R&D: Forensics: DNA and biological evidence

Keywords: STRSNPforensicsequencepopulationShow more...

These data are public.

Files

Loading file list...

Gettings, K. B., Borsuk, L. A., Steffen, C. R., Kiesler, K. M., & Vallone, P. M. (2018). Sequence-based U.S. population data for 27 autosomal STR loci. Forensic Science International: Genetics, 37, 106-115. doi:10.1016/j.fsigen.2018.07.013

Borsuk, L. A., Gettings, K. B., Steffen, C. R., Kiesler, K. M., & Vallone, P. M. (2018). Sequence-based US population data for the SE33 locus. ELECTROPHORESIS, 39(21), 2694-2701. doi:10.1002/elps.201800091

Borsuk, L. A., Steffen, C. R., Kiesler, K. M., Vallone, P. M., & Gettings, K. B. (2020). Sequence-based U.S. population data for 7 X-STR loci. Forensic Science International: Reports, 2, 100160. doi:10.1016/j.fsir.2020.100160

Steffen, C. R., Huszar, T. I., Borsuk, L. A., Vallone, P. M., & Gettings, K. B. (2022). A multi-dimensional evaluation of the 'NIST 1032' sample set across four forensic Y-STR multiplexes. Forensic Science International: Genetics, 57, 102655. https://doi.org/10.1016/j.fsigen.2021.102655

Version: 1.3... Revised: 2023-05-31

This dataset is part of the Forensics Science Data Collection.

Cite this dataset

Lisa Borsuk, Katherine Gettings, Kevin Kiesler, Becky Steffen, Peter Vallone (2018), U.S. population data for human identification markers, National Institute of Standards and Technology, https://doi.org/10.18434/t4/1500024 (Accessed 2025-05-06)

Repository Metadata

Machine-readable descriptions of this dataset are available in the following formats:

NERDm

Access Metrics

Metrics data is not available for all datasets, including this one. This may be because the data is served via servers external to this repository.