Evidence map›Paper›PMID 28433078›Full record

ArticleThe Journal of molecular diagnostics : JMD2017

Haplotype Counting for Sensitive Chimerism Testing: Potential for Early Leukemia Relapse Detection.

Marija Debeljak, Evelina Mocci, Max C Morrison, Aparna Pallavajjalla, Katie Beierl, Marie Amiel, Michaël Noë, Laura D Wood, Ming-Tseh Lin, Christopher D Gocke and 4 more

Abstract read
In one paragraph

Article in The Journal of molecular diagnostics : JMD, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. A New Fast Phasing Method Based On Haplotype Subtraction.The Journal of molecular diagnostics : JMD · 2019
    Article
  7. Review
  8. 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

14 authors.

Marija DebeljakDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Evelina MocciDepartment of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Max C MorrisonDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Aparna PallavajjallaDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Katie BeierlDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Marie AmielDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Michaël NoëDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Laura D WoodDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Ming-Tseh LinDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Christopher D GockeDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Alison P KleinDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Ephraim J FuchsDepartment of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
Richard J JonesDepartment of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland.
James R EshlemanDepartment of Pathology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland; Department of Oncology, Johns Hopkins University, Johns Hopkins Medical Institutions, Baltimore, Maryland. Electronic address: jeshlem@jhmi.edu.

Funding

Institute for Clinical and Translational ResearchUL1TR001079 · NCATS · JOHNS HOPKINS UNIVERSITY · PI FORD, DANIEL ERNEST · 2013 to 2017
$60.1M
Tumor Antigens for Individual Signatures and TherapyP50CA062924 · NCI · JOHNS HOPKINS UNIVERSITY · PI JAFFEE, ELIZABETH M. · 1993 to 2022
$54.6M
NCATS NIH HHS UL1 TR001079NCI NIH HHS P50 CA062924
6 · The paper itself

Abstract

Fields of forensics, transplantation, and paternity rely on human identity testing. Currently, this is accomplished through amplification of microsatellites followed by capillary electrophoresis. An alternative and theoretically better approach uses multiple single-nucleotide polymorphisms located within a small region of DNA, a method we initially developed using HLA-A and called haplotype counting. Herein, we validated seven additional polymorphic loci, sequenced a total of 45 individuals from three of the 1000 Genomes populations (15 from each), and determined the number of haplotypes, heterozygosity, and polymorphic information content for each locus. In addition, we developed a multiplex PCR that amplifies five of these loci simultaneously. Using this strategy with a small cohort of leukemic patients who underwent allogeneic bone marrow transplantation, we first attempted to define a threshold (0.26% recipient) by examining seven patients who tested all donor and did not relapse. Although this initial threshold will need to be confirmed in a larger cohort, we detected increased recipient DNA above this threshold 90 to 145 days earlier than microsatellite positivity, and 127 to 142 days before clinical relapse in four of eight patients (50%). Haplotype counting using these novel loci may be useful for ultrasensitive detection in fields such as bone marrow transplantation, solid organ transplant rejection, patient identification, and forensics.

Indexed as

Bone Marrow TransplantationChimerismFemaleHaplotypesHematopoietic Stem Cell TransplantationHumansLeukemiaMaleMicrosatellite RepeatsPolymerase Chain Reaction

Identifiers

PMID28433078
PMCPMC5707182

What OpenQuestion holds

Textmetadata
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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.