Evidence map›Paper›PMID 24253860›Full record

ReviewEuropean journal of human genetics : EJHG2014

Making the genomic leap in HCT: application of second-generation sequencing to clinical advances in hematopoietic cell transplantation.

Yun R Li, John E Levine, Hakon Hakonarson, Brendan J Keating

Abstract readReview
In one paragraph

Review in European journal of human genetics : EJHG, 2014. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Integrative omics for health and disease.Nature reviews. Genetics · 2018
    Review
  3. Applying genomics in heart transplantation.Transplant international : official journal of the European Society for Organ Transplantation · 2018
    Review
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

4 authors.

Yun R Li1] Medical Scientist Training Program, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA [2] Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA.
John E LevineBlood and Marrow Transplant Program, University of Michigan, Ann Arbor, MI, USA.
Hakon Hakonarson1] Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA [2] Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA [3] Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Brendan J Keating1] Center for Applied Genomics, Abramson Research Center, The Children's Hospital of Philadelphia, Philadelphia, PA, USA [2] Department of Pediatrics, The Children's Hospital of Philadelphia, Philadelphia, PA, USA [3] Department of Pediatrics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA [4] Division of Transplantation, Department of Surgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.

Funding

Integrative Analysis of a GWAS Repository with EMRs from over 40,000 ChildrenU01HG006830 · NHGRI · CHILDREN'S HOSP OF PHILADELPHIA · PI HAKONARSON, HAKON · 2012 to 2014
$3.7M
NHGRI NIH HHS 3U01HG006830-S1NHGRI NIH HHS U01 HG006830NHGRI NIH HHS U01HG006830
6 · The paper itself

Abstract

Recent developments in second-generation sequencing (SGS) technologies provide an avenue for achieving rapid and accurate high-throughput analysis of human and microbial genomic diversity. SGS technologies have the potential to transform existing medical management of complex and life-threatening medical conditions by enabling clinicians to develop disease-targeted clinical care plans for each patient. In this review, we outline how innovative SGS-based approaches can improve the care of recipients of allogeneic hematopoietic cell transplantation (HCT), a life-saving procedure that carries a 1-year mortality risk of over 30%. We specifically evaluate foreseeable applications of SGS-based technology in facilitating rapid, phase-sensitive human leukocyte antigen (HLA) typing, assessment of non-HLA genomic compatibility, identifying patients at high risk for adverse drug reactions, and post-HCT monitoring for engraftment, minimal residual disease and infection. We conclude that innovative SGS approaches have the capacity to revolutionize the HCT recipient risk assessment process, support non-invasive clinical monitoring and improve patient outcomes, thereby setting the stage for a new era of genomically informed patient-centered medicine.

Indexed as

GenomicsHematopoietic Stem Cell TransplantationHigh-Throughput Nucleotide SequencingHistocompatibility TestingHLA AntigensHumansTranslational Research, BiomedicalHLA Antigens

Identifiers

PMID24253860
PMCPMC4023221

What OpenQuestion holds

Textmetadata
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.