Evidence map›Paper›PMID 32977385›Full record

ArticleGenes2020

Autosomal STR Profiling and Databanking in Malaysia: Current Status and Future Prospects.

Hashom Mohd Hakim, Hussein Omar Khan, Japareng Lalung, Bryan Raveen Nelson, Geoffrey Keith Chambers, Hisham Atan Edinur

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 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 17% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Forensic genetics through the lens of Lewontin: population structure, ancestry and race.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  5. Article
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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

6 authors at 4 institutions in 3 countries.

Hashom Mohd HakimDNA Databank Division (D13), Criminal Investigation Department, Royal Malaysian Police, Cheras 43200, Selangor, Malaysia.
Hussein Omar KhanDNA Databank Division (D13), Criminal Investigation Department, Royal Malaysian Police, Cheras 43200, Selangor, Malaysia.
Japareng LalungSchool of Industrial Technology, Universiti Sains Malaysia, Pulau Pinang 11800, Malaysia.
Bryan Raveen NelsonInstitute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia.ORCID 0000-0002-2461-5347
Geoffrey Keith ChambersSchool of Biological Sciences, Victoria University of Wellington, P.O. Box 600, Wellington 6140, New Zealand.
Hisham Atan EdinurInstitute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Nerus 21030, Terengganu, Malaysia.ORCID 0000-0002-3379-6063
Universiti Sains Malaysia · MYGriffith University · AUUniversiti Malaysia Terengganu · MYVictoria University of Wellington · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Science and technology are extensively used in criminal investigation. From the mid- to late-1980s, one of the scientific discoveries that has had a particularly remarkable impact on this field has been the use of highly variable DNA sequence regions (minisatellites) in the human genome for individual identification. The technique was initially referred to as DNA fingerprinting, but is now more widely referred to as DNA profiling. Since then, many new developments have occurred within this area of science. These include the introduction of new genetic markers (microsatellites also known as short tandem repeats/STRs), the use of the polymerase chain reaction for target amplification, the development of DNA databases (databanking), and the advancement and/or improvement of genotyping protocols and technologies. In 2019, we described the progress of DNA profiling and DNA databanking in Malaysia for the first time. This report included information on DNA analysis regulations and legislation, STR genotyping protocols, database management, and accreditation status. Here, we provide an update on the performance of our DNA databank (numbers of DNA profiles and hits) plus the technical issues associated with correctly assigning the weight of evidence for DNA profiles in an ethnically diverse population, and the potential application of rapid DNA testing in the country. A total of 116,534 DNA profiles were obtained and stored in the Forensic DNA Databank of Malaysia (FDDM) by 2019, having increased from 70,570 in 2017. The number of hits increased by more than three-fold in just two years, where 17 and 69 hits between the DNA profiles stored in the FDDM and those from crime scenes, suspects, detainees, drug users, convicts, missing persons, or volunteers were recorded in 2017 and 2019, respectively. Forensic DNA analysis and databanking are thus progressing well in Malaysia and have already contributed to many criminal investigations. However, several other issues are discussed here, including the need for STR population data for uncharacterized population groups, and pilot trials for adopting rapid DNA profiling technology. These aspects should be considered by policy makers and law enforcement agencies in order to increase the reliability and efficiency of DNA profiling in criminal cases and in kinship analysis in Malaysia.

Indexed as

Genetic MarkersMicrosatellite RepeatsDatabases, Nucleic AcidDNADNA FingerprintingForensic GeneticsGenetics, PopulationGenotyping TechniquesHumansMalaysiaDNAGenetic Markerscriminal investigationDNA databaseDNA profilingFDDMgenetic markersSTR genotyping

Identifiers

PMID32977385
PMCPMC7597947
OpenAlexW3088399553

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.