Evidence map›Paper›PMID 28070634›Full record

ArticleInternational journal of legal medicine2017

Increasing the reference populations for the 55 AISNP panel: the need and benefits.

Andrew J Pakstis, Longli Kang, Lijun Liu, Zhiying Zhang, Tianbo Jin, Elena L Grigorenko, Frank R Wendt, Bruce Budowle, Sibte Hadi, Mariam Salam Al Qahtani and 7 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in International journal of legal medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
–field-weighted citation impact
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

16 citing papers in PubMed.

  1. Review
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  15. Article
  16. Ancestry inference of 96 population samples using microhaplotypes.International journal of legal medicine · 2018
    Article
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

17 authors.

Andrew J PakstisDepartment of Genetics, Yale University School of Medicine, P.O. Box 208005, 333 Cedar Street, New Haven, CT, 06520-8005, USA. Andrew.Pakstis@yale.edu.
Longli KangKey Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China.
Lijun LiuKey Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China.
Zhiying ZhangKey Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China.
Tianbo JinKey Laboratory for Molecular Genetic Mechanisms and Intervention Research on High Altitude Disease of Tibet Autonomous Region, School of Medicine, Xizang Minzu University, Xianyang, Shaanxi, 712082, China.
Elena L GrigorenkoDepartment of Psychology, University of Houston, Houston, TX, 77204, USA.
Frank R WendtInstitute of Molecular Medicine, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.
Bruce BudowleCenter for Human Identification, University of North Texas Health Science Center, 3500 Camp Bowie Blvd, Fort Worth, TX, 76107, USA.
Sibte HadiSchool of Forensic & Applied Sciences, University of Central Lancashire, Preston, UK.
Mariam Salam Al QahtaniSchool of Forensic & Applied Sciences, University of Central Lancashire, Preston, UK.
Niels MorlingSection of Forensic Genetics, Department of Forensic Medicine, University of Copenhagen, DK-2100, Copenhagen, Denmark.
Helle Smidt MogensenSection of Forensic Genetics, Department of Forensic Medicine, University of Copenhagen, DK-2100, Copenhagen, Denmark.
Goncalo E ThemudoSection of Forensic Genetics, Department of Forensic Medicine, University of Copenhagen, DK-2100, Copenhagen, Denmark.
Usha SoundararajanDepartment of Genetics, Yale University School of Medicine, P.O. Box 208005, 333 Cedar Street, New Haven, CT, 06520-8005, USA.
Haseena RajeevanDepartment of Genetics, Yale University School of Medicine, P.O. Box 208005, 333 Cedar Street, New Haven, CT, 06520-8005, USA.
Judith R KiddDepartment of Genetics, Yale University School of Medicine, P.O. Box 208005, 333 Cedar Street, New Haven, CT, 06520-8005, USA.
Kenneth K KiddDepartment of Genetics, Yale University School of Medicine, P.O. Box 208005, 333 Cedar Street, New Haven, CT, 06520-8005, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ancestry inference for an individual can only be as good as the reference populations with allele frequency data on the SNPs being used. If the most relevant ancestral population(s) does not have data available for the SNPs studied, then analyses based on DNA evidence may indicate a quite distantly related population, albeit one among the more closely related of the existing reference populations. We have added reference population allele frequencies for 14 additional population samples (with >1100 individuals studied) to the 125 population samples previously published for the Kidd Lab 55 AISNP panel. Allele frequencies are now publicly available for all 55 SNPs in ALFRED and FROG-kb for a total of 139 population samples. This Kidd Lab panel of 55 ancestry informative SNPs has been incorporated in commercial kits by both ThermoFisher Scientific and Illumina for massively parallel sequencing. Researchers employing those kits will find the enhanced set of reference populations useful.

Indexed as

Gene FrequencyGenetics, PopulationPolymorphism, Single NucleotideDatabases, GeneticEthnicityGenotypeHigh-Throughput Nucleotide SequencingHumansRacial GroupsAlfredAncestryFROG-kbReference databaseSNP

Identifiers

PMID28070634
PMCPMC5491587

What OpenQuestion holds

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Registered trials

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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.