Evidence map›Paper›PMID 30468002›Full record

ArticleHLA2018

Cost-effective and fast KIR gene-content genotyping by multiplex melting curve analysis.

Leonardo M Amorim, Tiago H S Santos, Jill A Hollenbach, Paul J Norman, Wesley M Marin, Ravi Dandekar, Enilze M S F Ribeiro, Maria L Petzl-Erler, Danillo G Augusto

Abstract readValidation Study
In one paragraph

Article in HLA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

9 authors at 3 institutions in 2 countries.

Leonardo M AmorimLaboratório de Genética Molecular Humana, Universidade Federal do Paraná, Curitiba, Brazil.
Tiago H S SantosLaboratório de Genética Molecular Humana, Universidade Federal do Paraná, Curitiba, Brazil.
Jill A HollenbachDepartment of Neurology, University of California San Francisco, San Francisco, California.
Paul J NormanDivision of Biomedical Informatics and Personalized Medicine, and Department of Immunology, University of Colorado, Denver.
Wesley M MarinDepartment of Neurology, University of California San Francisco, San Francisco, California.
Ravi DandekarDepartment of Neurology, University of California San Francisco, San Francisco, California.
Enilze M S F RibeiroLaboratório de Citogenética Humana e Oncogenética, Universidade Federal do Paraná, Curitiba, Brazil.
Maria L Petzl-ErlerLaboratório de Genética Molecular Humana, Universidade Federal do Paraná, Curitiba, Brazil.
Danillo G AugustoLaboratório de Genética Molecular Humana, Universidade Federal do Paraná, Curitiba, Brazil.ORCID 0000-0001-5665-8547
Universidade Federal do Paraná · BRUniversity of California, San Francisco · USUniversity of Denver · US

Funding

KIR association studies in neurological diseasesU19NS095774 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERNANDEZ-VINA, MARCELO, OKSENBERG, JORGE R. · 2015 to 2019
$7.0M
BMI Bioinformatics Training GrantsT32GM067547 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HERNANDEZ, RYAN D. · 2003 to 2022
$6.6M
Integrated Exchange and Storage of Current- and Future-Generation Immunogenomic DataR01AI128775 · NIAID · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JILL Allison HOLLENBACH, STEVEN JOHN MACK · 2017 to 2026
$4.5M
NIAID NIH HHS R01 AI128775NINDS NIH HHS U19 NS095774
6 · The paper itself

Abstract

Killer cell immunoglobulin-like receptor (KIR) genes encode cell surface molecules that recognize HLA molecules and modulate the activity of natural killer (NK) cells. KIR genes exhibit presence and absence polymorphism, which generates a variety of gene-content haplotypes in worldwide populations. KIR gene-content variation is implicated in many diseases and is also important for placentation and transplantation. Because of the complexity of KIR polymorphism, variation in this family is still mostly studied at the gene-content level, even with the advent of next-generation sequencing (NGS) methods. Gene-content determination is generally expensive and/or time-consuming. To overcome these difficulties, we developed a method based on multiplex polymerase chain reaction with specific sequence primers (PCR-SSP) followed by melting curve analysis that allows cost-effective, precise and fast generation of results. Our method was 100% concordant with a gel-based method and 99.9% concordant with presence and absence determination by NGS. The limit of detection for accurate typing was 30 ng of DNA (0.42 μM) with 260/230 and 260/280 ratios as low as 0.19 and of 0.44. In addition, we developed a user-friendly Java-based computational application called killerPeak that interprets the raw data generated by Viia7 or QuantStudio 7 quantitative PCR machines and reliably exports the final genotyping results in spreadsheet file format. The combination of a reliable method that requires low amount of DNA with an automated interpretation of results allows scaling the KIR genotyping in large cohorts with reduced turnaround time.

Indexed as

GenotypePolymorphism, GeneticDNA PrimersGene ExpressionGenotyping TechniquesHigh-Throughput Nucleotide SequencingHumansKiller Cells, NaturalLimit of DetectionMultiplex Polymerase Chain ReactionNucleic Acid DenaturationReceptors, KIRSoftwareDNA PrimersReceptors, KIRgenotypingkiller-cell immunoglobulin-like receptorsPCR-SSPqPCRreal-time

Identifiers

PMID30468002
PMCPMC6433384
OpenAlexW2900453061

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.