Evidence map›Paper›PMID 33138247›Full record

ArticleGenes2020

Platinum-Quality Mitogenome Haplotypes from United States Populations.

Cassandra R Taylor, Kevin M Kiesler, Kimberly Sturk-Andreaggi, Joseph D Ring, Walther Parson, Moses Schanfield, Peter M Vallone, Charla Marshall

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
3.1field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed, 23 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 2 countries.

Cassandra R TaylorArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA.
Kevin M KieslerNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
Kimberly Sturk-AndreaggiArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA.ORCID 0000-0001-6857-923X
Joseph D RingArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA.
Walther ParsonInstitute of Legal Medicine, Medical University of Innsbruck, Innsbruck 6020, Austria.ORCID 0000-0002-5692-2392
Moses SchanfieldDepartment of Forensic Sciences, The George Washington University, Washington, DC 20007, USA.
Peter M ValloneNational Institute of Standards and Technology (NIST), Gaithersburg, MD 20899, USA.
Charla MarshallArmed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), Dover Air Force Base, DE 19002, USA.ORCID 0000-0002-8495-1748
National Institute of Standards and Technology · USPennsylvania State University · USGeorge Washington University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A total of 1327 platinum-quality mitochondrial DNA haplotypes from United States (U.S.) populations were generated using a robust, semi-automated next-generation sequencing (NGS) workflow with rigorous quality control (QC). The laboratory workflow involved long-range PCR to minimize the co-amplification of nuclear mitochondrial DNA segments (NUMTs), PCR-free library preparation to reduce amplification bias, and high-coverage Illumina MiSeq sequencing to produce an average per-sample read depth of 1000 × for low-frequency (5%) variant detection. Point heteroplasmies below 10% frequency were confirmed through replicate amplification, and length heteroplasmy was quantitatively assessed using a custom read count analysis tool. Data analysis involved a redundant, dual-analyst review to minimize errors in haplotype reporting with additional QC checks performed by EMPOP. Applying these methods, eight sample sets were processed from five U.S. metapopulations (African American, Caucasian, Hispanic, Asian American, and Native American) corresponding to self-reported identity at the time of sample collection. Population analyses (e.g., haplotype frequencies, random match probabilities, and genetic distance estimates) were performed to evaluate the eight datasets, with over 95% of haplotypes unique per dataset. The platinum-quality mitogenome haplotypes presented in this study will enable forensic statistical calculations and thereby support the usage of mitogenome sequencing in forensic laboratories.

Indexed as

DNA FingerprintingDNA, MitochondrialFemaleGenome, MitochondrialHaplotypesHigh-Throughput Nucleotide SequencingHumansMaleMitochondriaPlatinumPolymerase Chain ReactionSequence Analysis, DNAUnited StatesDNA, MitochondrialPlatinumhaplogrouphaplotypemitogenomemtDNAnext-generation sequencingpopulation statistics

Identifiers

PMID33138247
PMCPMC7716222
OpenAlexW3096177814

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.