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Dive into the research topics where Katherine Butler Gettings is active.

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Featured researches published by Katherine Butler Gettings.


Forensic Science International-genetics | 2016

Sequence variation of 22 autosomal STR loci detected by next generation sequencing

Katherine Butler Gettings; Kevin M. Kiesler; Seth A. Faith; Elizabeth Montano; Christine H. Baker; Brian A. Young; Richard A. Guerrieri; Peter M. Vallone

Sequencing short tandem repeat (STR) loci allows for determination of repeat motif variations within the STR (or entire PCR amplicon) which cannot be ascertained by size-based PCR fragment analysis. Sanger sequencing has been used in research laboratories to further characterize STR loci, but is impractical for routine forensic use due to the laborious nature of the procedure in general and additional steps required to separate heterozygous alleles. Recent advances in library preparation methods enable high-throughput next generation sequencing (NGS) and technological improvements in sequencing chemistries now offer sufficient read lengths to encompass STR alleles. Herein, we present sequencing results from 183 DNA samples, including African American, Caucasian, and Hispanic individuals, at 22 autosomal forensic STR loci using an assay designed for NGS. The resulting dataset has been used to perform population genetic analyses of allelic diversity by length compared to sequence, and exemplifies which loci are likely to achieve the greatest gains in discrimination via sequencing. Within this data set, six loci demonstrate greater than double the number of alleles obtained by sequence compared to the number of alleles obtained by length: D12S391, D2S1338, D21S11, D8S1179, vWA, and D3S1358. As expected, repeat region sequences which had not previously been reported in forensic literature were identified.


Forensic Science International-genetics | 2016

Massively parallel sequencing of forensic STRs: Considerations of the DNA commission of the International Society for Forensic Genetics (ISFG) on minimal nomenclature requirements

Walther Parson; David Ballard; Bruce Budowle; John M. Butler; Katherine Butler Gettings; Peter Gill; Leonor Gusmão; Douglas R. Hares; Jodi A. Irwin; Jonathan L. King; Peter de Knijff; Niels Morling; Mechthild Prinz; Peter M. Schneider; Christophe Van Neste; Sascha Willuweit; C. Phillips

The DNA Commission of the International Society for Forensic Genetics (ISFG) is reviewing factors that need to be considered ahead of the adoption by the forensic community of short tandem repeat (STR) genotyping by massively parallel sequencing (MPS) technologies. MPS produces sequence data that provide a precise description of the repeat allele structure of a STR marker and variants that may reside in the flanking areas of the repeat region. When a STR contains a complex arrangement of repeat motifs, the level of genetic polymorphism revealed by the sequence data can increase substantially. As repeat structures can be complex and include substitutions, insertions, deletions, variable tandem repeat arrangements of multiple nucleotide motifs, and flanking region SNPs, established capillary electrophoresis (CE) allele descriptions must be supplemented by a new system of STR allele nomenclature, which retains backward compatibility with the CE data that currently populate national DNA databases and that will continue to be produced for the coming years. Thus, there is a pressing need to produce a standardized framework for describing complex sequences that enable comparison with currently used repeat allele nomenclature derived from conventional CE systems. It is important to discern three levels of information in hierarchical order (i) the sequence, (ii) the alignment, and (iii) the nomenclature of STR sequence data. We propose a sequence (text) string format the minimal requirement of data storage that laboratories should follow when adopting MPS of STRs. We further discuss the variant annotation and sequence comparison framework necessary to maintain compatibility among established and future data. This system must be easy to use and interpret by the DNA specialist, based on a universally accessible genome assembly, and in place before the uptake of MPS by the general forensic community starts to generate sequence data on a large scale. While the established nomenclature for CE-based STR analysis will remain unchanged in the future, the nomenclature of sequence-based STR genotypes will need to follow updated rules and be generated by expert systems that translate MPS sequences to match CE conventions in order to guarantee compatibility between the different generations of STR data.


Forensic Science International-genetics | 2015

STR allele sequence variation: Current knowledge and future issues

Katherine Butler Gettings; Rachel A. Aponte; Peter M. Vallone; John M. Butler

This article reviews what is currently known about short tandem repeat (STR) allelic sequence variation in and around the twenty-four loci most commonly used throughout the world to perform forensic DNA investigations. These STR loci include D1S1656, TPOX, D2S441, D2S1338, D3S1358, FGA, CSF1PO, D5S818, SE33, D6S1043, D7S820, D8S1179, D10S1248, TH01, vWA, D12S391, D13S317, Penta E, D16S539, D18S51, D19S433, D21S11, Penta D, and D22S1045. All known reported variant alleles are compiled along with genomic information available from GenBank, dbSNP, and the 1000 Genomes Project. Supplementary files are included which provide annotated reference sequences for each STR locus, characterize genomic variation around the STR repeat region, and compare alleles present in currently available STR kit allelic ladders. Looking to the future, STR allele nomenclature options are discussed as they relate to next generation sequencing efforts underway.


Forensic Science International-genetics | 2015

Performance of a next generation sequencing SNP assay on degraded DNA

Katherine Butler Gettings; Kevin M. Kiesler; Peter M. Vallone

Forensic DNA casework samples are often of insufficient quantity or quality to generate full profiles by conventional DNA typing methods. Polymerase chain reaction (PCR) amplification of short tandem repeat (STR) loci is inherently limited in samples containing degraded DNA, as the cumulative size of repeat regions, primer binding regions, and flanking sequence is necessarily larger than the PCR template. Additionally, traditional capillary electrophoresis (CE) assay design further inherently limits shortening amplicons because the markers must be separated by size. Non-traditional markers, such as single nucleotide polymorphisms (SNPs) and insertion deletion polymorphisms (InDels), may yield more information from challenging samples due to their smaller amplicon size. In this study, the performance of a next generation sequencing (NGS) SNP assay and CE-based STR, mini-STR, and InDel assays was evaluated with a series of fragmented, size-selected samples. Information obtained from the NGS SNP assay exhibited higher overall inverse random match probability (1/RMP) values compared to the CE-based typing assays, with particular benefit for fragment sizes ≤ 150 base pairs (bp). The InDel, mini-STR, and NGS SNP assays all had similar percentages of loci with reportable alleles at this level of degradation; however, the relatively fewer number of loci in the InDel and mini-STR assays results in the NGS SNP assay having at least nine orders of magnitude higher 1/RMP values. In addition, the NGS SNP assay and three CE-based assays (two STR and one InDel assay) were tested using a dilution series consisting of 0.5 ng, 0.1 ng, and 0.05 ng non-degraded DNA. All tested assays showed similar percentages of loci with reportable alleles at these levels of input DNA; however, due to the larger number of loci, the NGS SNP assay and the larger of the two tested CE-based STR assays both resulted in considerably higher 1/RMP values than the other assays. These results indicate the potential advantage of NGS SNP assays for forensic analysis of degraded DNA samples.


Forensic Science International-genetics | 2016

D5S2500 is an ambiguously characterized STR: Identification and description of forensic microsatellites in the genomics age

C. Phillips; Walther Parson; Jorge Amigo; Jonathan L. King; Michael D. Coble; Carolyn R. Steffen; Peter M. Vallone; Katherine Butler Gettings; John M. Butler; Bruce Budowle

In the process of establishing short tandem repeat (STR) sequence variant nomenclature guidelines in anticipation of expanded forensic multiplexes for massively parallel sequencing (MPS), it was discovered that the STR D5S2500 has multiple positions and genomic characteristics reported. This ambiguity is because the marker named D5S2500 consists of two different microsatellites forming separate components in the capillary electrophoresis multiplexes of Qiagens HDplex (Hilden, Germany) and AGCU ScienTechs non-CODIS STR 21plex (Wuxi, Jiangsu, China). This study outlines the genomic details used to identify each microsatellite and reveals the D5S2500 marker in HDplex has the correctly assigned STR name, while the D5S2500 marker in the AGCU 21plex, closely positioned a further 1643 nucleotides in the human reference sequence, is an unnamed microsatellite. The fact that the D5S2500 marker has existed as two distinct STR loci undetected for almost ten years, even with reported discordant genotypes for the standard control DNA, underlines the need for careful scrutiny of the genomic properties of forensic STRs, as they become adapted for sequence analysis with MPS systems. We make the recommendation that precise chromosome location data must be reported for any forensic marker under development but not in common use, so that the genomic characteristics of the locus are validated to the same level of accuracy as its allelic variation and forensic performance. To clearly differentiate each microsatellite, we propose the name D5S2800 be used to identify the Chromosome-5 STR in the AGCU 21plex.


Forensic Science International-genetics | 2015

Forensic ancestry analysis with two capillary electrophoresis ancestry informative marker (AIM) panels: Results of a collaborative EDNAP exercise

Carla Santos; M. Fondevila; David Ballard; R. Banemann; A.M. Bento; Claus Børsting; Wojciech Branicki; Francesca Brisighelli; M. Burrington; Tomas Capal; Lakshmi Chaitanya; Runa Daniel; V. Decroyer; R. England; Katherine Butler Gettings; T.E. Gross; Cordula Haas; Joyce Harteveld; P. Hoff-Olsen; A. Hoffmann; Manfred Kayser; P. Kohler; Adrian Linacre; M. Mayr-Eduardoff; C. McGovern; Niels Morling; Geraldine O’Donnell; Walther Parson; V. L. Pascali; M.J. Porto

There is increasing interest in forensic ancestry tests, which are part of a growing number of DNA analyses that can enhance routine profiling by obtaining additional genetic information about unidentified DNA donors. Nearly all ancestry tests use single nucleotide polymorphisms (SNPs), but these currently rely on SNaPshot single base extension chemistry that can fail to detect mixed DNA. Insertion-deletion polymorphism (Indel) tests have been developed using dye-labeled primers that allow direct capillary electrophoresis detection of PCR products (PCR-to-CE). PCR-to-CE maintains the direct relationship between input DNA and signal strength as each marker is detected with a single dye, so mixed DNA is more reliably detected. We report the results of a collaborative inter-laboratory exercise of 19 participants (15 from the EDNAP European DNA Profiling group) that assessed a 34-plex SNP test using SNaPshot and a 46-plex Indel test using PCR-to-CE. Laboratories were asked to type five samples with different ancestries and detect an additional mixed DNA sample. Statistical inference of ancestry was made by participants using the Snipper online Bayes analysis portal plus an optional PCA module that analyzes the genotype data alongside calculation of Bayes likelihood ratios. Exercise results indicated consistent genotyping performance from both tests, reaching a particularly high level of reliability for the Indel test. SNP genotyping gave 93.5% concordance (compared to the organizing laboratorys data) that rose to 97.3% excluding one laboratory with a large number of miscalled genotypes. Indel genotyping gave a higher concordance rate of 99.8% and a reduced no-call rate compared to SNP analysis. All participants detected the mixture from their Indel peak height data and successfully assigned the correct ancestry to the other samples using Snipper, with the exception of one laboratory with SNP miscalls that incorrectly assigned ancestry of two samples and did not obtain informative likelihood ratios for a third. Therefore, successful ancestry assignments were achieved by participants in 92 of 95 Snipper analyses. This exercise demonstrates that ancestry inference tests based on binary marker sets can be readily adopted by laboratories that already have well-established CE regimes in place. The Indel test proved to be easy to use and allowed all exercise participants to detect the DNA mixture as well as achieving complete and concordant profiles in nearly all cases. Lastly, two participants successfully ran parallel next-generation sequencing analyses (each using different systems) and achieved high levels of genotyping concordance using the exercise PCR primer mixes unmodified.


Forensic Science International-genetics | 2017

A collaborative EDNAP exercise on SNaPshot™-based mtDNA control region typing

Natalie E.C. Weiler; K. Baca; David Ballard; F. Balsa; M. Bogus; Claus Børsting; Francesca Brisighelli; J. Červenáková; Lakshmi Chaitanya; Michael D. Coble; V. Decroyer; Stijn Desmyter; K.J. van der Gaag; Katherine Butler Gettings; Cordula Haas; J. Heinrich; M. João Porto; Arnoud J. Kal; Manfred Kayser; A. Kúdelová; Niels Morling; Ana Mosquera-Miguel; Fabrice Noel; Walther Parson; Vânia Pereira; C. Phillips; Peter M. Schneider; D. Syndercombe Court; M. Turanská; Athina Vidaki

A collaborative European DNA Profiling (EDNAP) Group exercise was undertaken to assess the performance of an earlier described SNaPshot™-based screening assay (denoted mini-mtSNaPshot) (Weiler et al., 2016) [1] that targets 18 single nucleotide polymorphism (SNP) positions in the mitochondrial (mt) DNA control region and allows for discrimination of major European mtDNA haplogroups. Besides the organising laboratory, 14 forensic genetics laboratories were involved in the analysis of 13 samples, which were centrally prepared and thoroughly tested prior to shipment. The samples had a variable complexity and comprised straightforward single-source samples, samples with dropout or altered peak sizing, a point heteroplasmy and two-component mixtures resulting in one to five bi-allelic calls. The overall success rate in obtaining useful results was high (97.6%) given that some of the participating laboratories had no previous experience with the typing technology and/or mtDNA analysis. The majority of the participants proceeded to haplotype inference to assess the feasibility of assigning a haplogroup and checking phylogenetic consistency when only 18 SNPs are typed. To mimic casework procedures, the participants compared the SNP typing data of all 13 samples to a set of eight mtDNA reference profiles that were described according to standard nomenclature (Parson et al., 2014) [2], and indicated whether these references matched each sample or not. Incorrect scorings were obtained for 2% of the comparisons and derived from a subset of the participants, indicating a need for training and guidelines regarding mini-mtSNaPshot data interpretation.


Forensic Science International-genetics | 2018

Sequence-based U.S. population data for 27 autosomal STR loci

Katherine Butler Gettings; Lisa A. Borsuk; Carolyn R. Steffen; Kevin M. Kiesler; Peter M. Vallone

This manuscript reports Short Tandem Repeat (STR) sequence-based allele frequencies for 1036 samples across 27 autosomal STR loci: D1S1656, TPOX, D2S441, D2S1338, D3S1358, D4S2408, FGA, D5S818, CSF1PO, D6S1043, D7S820, D8S1179, D9S1122, D10S1248, TH01, vWA, D12S391, D13S317, Penta E, D16S539, D17S1301, D18S51, D19S433, D20S482, D21S11, Penta D, and D22S1045. Sequence data were analyzed by two bioinformatic pipelines and all samples have been evaluated for concordance with alleles derived from CE-based analysis at all loci. Each reported sequence includes high-quality flanking sequence and is properly formatted according to the most recent guidance of the International Society for Forensic Genetics. In addition, GenBank accession numbers are reported for each sequence, and associated records are available in the STRSeq BioProject (https://www.ncbi.nlm.nih.gov/bioproject/380127). The D3S1358 locus demonstrates the greatest average increase in heterozygosity across populations (approximately 10 percentage points). Loci demonstrating average increase in heterozygosity from 10 to 5 percentage points include (in descending order) D9S1122, D13S317, D8S1179, D21S11, D5S818, D12S391, and D2S441. The remaining 19 loci each demonstrate less than 5 percentage point increase in average heterozygosity. Discussion includes the utility of this data in understanding traditional CE results, such as informing stutter models and understanding migration challenges, and considerations for population sampling strategies in light of the marked increase in rare alleles for several of the sequence-based STR loci. This NIST 1036 data set is expected to support the implementation of STR sequencing forensic casework by providing high-confidence sequence-based allele frequencies for the same sample set which are already the basis for population statistics in many U.S. forensic laboratories.


Forensic Science International-genetics | 2017

STRSeq: A catalog of sequence diversity at human identification Short Tandem Repeat loci

Katherine Butler Gettings; Lisa A. Borsuk; David Ballard; Martin Bodner; Bruce Budowle; Laurence Devesse; Jonathan L. King; Walther Parson; C. Phillips; Peter M. Vallone


Forensic Science International: Genetics Supplement Series | 2015

The next dimension in STR sequencing: Polymorphisms in flanking regions and their allelic associations

Katherine Butler Gettings; Rachel A. Aponte; Kevin M. Kiesler; Peter M. Vallone

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Peter M. Vallone

National Institute of Standards and Technology

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Kevin M. Kiesler

National Institute of Standards and Technology

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Lisa A. Borsuk

National Institute of Standards and Technology

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Walther Parson

Innsbruck Medical University

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C. Phillips

University of Santiago de Compostela

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Carolyn R. Steffen

National Institute of Standards and Technology

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Niels Morling

University of Copenhagen

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Bruce Budowle

University of North Texas Health Science Center

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John M. Butler

National Institute of Standards and Technology

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