Evidence map›Paper›PMID 28904649›Full record

ReviewCurrent fungal infection reports2017

Harnessing Whole Genome Sequencing in Medical Mycology.

Christina A Cuomo

Abstract readReview
In one paragraph

Review in Current fungal infection reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Cerebrospinal Drain Infection byJournal of fungi (Basel, Switzerland) · 2024
    Review
  8. Genotypic diversity, virulence, and molecular genetic tools inMicrobiology and molecular biology reviews : MMBR · 2024
    Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Clinical Pathogen Genomics.Clinics in laboratory medicine · 2020
    Review
  15. Review
  16. Review
  17. 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

1 author.

Christina A CuomoInfectious Disease and Microbiome Program, Broad Institute of MIT and Harvard, Cambridge, MA USA.

Funding

Viral Genomics: evolution, spread, and host interactionsU19AI110818 · NIAID · BROAD INSTITUTE, INC. · PI CUOMO, CHRISTINA A · 2014 to 2024
$66.5M
NIAID NIH HHS U19 AI110818
6 · The paper itself

Abstract

purpose of reviewComparative genome sequencing studies of human fungal pathogens enable identification of genes and variants associated with virulence and drug resistance. This review describes current approaches, resources, and advances in applying whole genome sequencing to study clinically important fungal pathogens. RECENT

findingsGenomes for some important fungal pathogens were only recently assembled, revealing gene family expansions in many species and extreme gene loss in one obligate species. The scale and scope of species sequenced is rapidly expanding, leveraging technological advances to assemble and annotate genomes with higher precision. By using iteratively improved reference assemblies or those generated de novo for new species, recent studies have compared the sequence of isolates representing populations or clinical cohorts. Whole genome approaches provide the resolution necessary for comparison of closely related isolates, for example, in the analysis of outbreaks or sampled across time within a single host. SUMMARY: Genomic analysis of fungal pathogens has enabled both basic research and diagnostic studies. The increased scale of sequencing can be applied across populations, and new metagenomic methods allow direct analysis of complex samples.

Indexed as

Fungal infectionsGenome sequencingHuman fungal pathogensMedical mycologyReviewWhole genome sequencing

Identifiers

PMID28904649
PMCPMC5570814

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.