Evidence map›Paper›PMID 30999980›Full record

ReviewCurrent topics in developmental biology2019

Translating genomics to the clinical diagnosis of disorders/differences of sex development.

Abhinav Parivesh, Hayk Barseghyan, Emmanuèle Délot, Eric Vilain

Abstract readReview
In one paragraph

Review in Current topics in developmental biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A NovelJournal of pediatric genetics · 2024
    Article
  7. Article
  8. Article
  9. Contexts of care for people with differences of sex development: Diversity is still missing in the laboratory routine.Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2023
    Article
  10. Article
  11. Article
  12. Article
  13. Review
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  15. 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

4 authors.

Abhinav PariveshCenter for Genetic Medicine Research, Children's National Medical Center, Washington, DC, United States.
Hayk BarseghyanCenter for Genetic Medicine Research, Children's National Medical Center, Washington, DC, United States; Department of Genomics and Precision Medicine, The George Washington University, Washington, DC, United States.
Emmanuèle DélotCenter for Genetic Medicine Research, Children's National Medical Center, Washington, DC, United States; Department of Genomics and Precision Medicine, The George Washington University, Washington, DC, United States. Electronic address: edelot@gwu.edu.
Eric VilainCenter for Genetic Medicine Research, Children's National Medical Center, Washington, DC, United States; Department of Genomics and Precision Medicine, The George Washington University, Washington, DC, United States. Electronic address: evilain@gwu.edu.

Funding

Research_ProjectU54HD090257 · NICHD · CHILDREN'S RESEARCH INSTITUTE · PI VITTORIO GALLO, VITTORIO GALLO VITTORIO GALLO · 2016 to 2020
$5.9M
NICHD NIH HHS U54 HD090257
6 · The paper itself

Abstract

The medical and psychosocial challenges faced by patients living with Disorders/Differences of Sex Development (DSD) and their families can be alleviated by a rapid and accurate diagnostic process. Clinical diagnosis of DSD is limited by a lack of standardization of anatomical and endocrine phenotyping and genetic testing, as well as poor genotype/phenotype correlation. Historically, DSD genes have been identified through positional cloning of disease-associated variants segregating in families and validation of candidates in animal and in vitro modeling of variant pathogenicity. Owing to the complexity of conditions grouped under DSD, genome-wide scanning methods are better suited for identifying disease causing gene variant(s) and providing a clinical diagnosis. Here, we review a number of established genomic tools (karyotyping, chromosomal microarrays and exome sequencing) used in clinic for DSD diagnosis, as well as emerging genomic technologies such as whole-genome (short-read) sequencing, long-read sequencing, and optical mapping used for novel DSD gene discovery. These, together with gene expression and epigenetic studies can potentiate the clinical diagnosis of DSD diagnostic rates and enhance the outcomes for patients and families.

Indexed as

Sex Chromosome AberrationsDisorders of Sex DevelopmentExome SequencingGenetic TestingGenomicsHumansKaryotypingSex ChromosomesDisorders/differences of sex developmentExome sequencingGenetic diagnosisLong-read sequencingNext-generation sequencingOptical genome mappingSexual developmentStructural variantsWhole genome sequencing

Identifiers

PMID30999980
PMCPMC7382024

What OpenQuestion holds

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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.