Evidence map›Paper›PMID 32222824›Full record

ReviewHuman genetics2021

Molecular genetic diagnostics of hypogonadotropic hypogonadism: from panel design towards result interpretation in clinical practice.

Henriett Butz, Gábor Nyírő, Petra Anna Kurucz, István Likó, Attila Patócs

Open access · hybridAbstract readReview
In one paragraph

Review in Human genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed, 2 pooled it
6.8field-weighted citation impact, top 3% 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

33 citing papers in PubMed, 2 syntheses or guidelines pooled it, 53 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
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  6. Review
  7. Article
  8. Article
  9. Article
  10. Frontiers in endocrinology · 2025
    Article
  11. Article
  12. Kallmann Syndrome: Functional Analysis of aInternational journal of molecular sciences · 2024
    Article
  13. Disorders of puberty and neurodevelopment: A shared etiology?Annals of the New York Academy of Sciences · 2024
    Review
  14. Review
  15. Article
  16. Review
  17. Article
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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

5 authors at 2 institutions in 1 country.

Henriett ButzDepartment of Laboratory Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
Gábor NyírőDepartment of Laboratory Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
Petra Anna KuruczDepartment of Laboratory Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary.
István LikóHereditary Tumours Research Group, Hungarian Academy of Sciences and Semmelweis University, Budapest, Hungary.
Attila PatócsDepartment of Laboratory Medicine, Semmelweis University, Nagyvárad tér 4, Budapest, 1089, Hungary. patocs.attila@med.semmelweis-univ.hu.
Semmelweis University · HUHungarian Academy of Sciences · HU

Funding

National Bionics Program Medical Bionics theme
6 · The paper itself

Abstract

Congenital hypogonadotropic hypogonadism (CHH) is a clinically and genetically heterogeneous congenital disease. Symptoms cover a wide spectrum from mild forms to complex phenotypes due to gonadotropin-releasing hormone (GnRH) deficiency. To date, more than 40 genes have been identified as pathogenic cause of CHH. These genes could be grouped into two major categories: genes controlling development and GnRH neuron migration and genes being responsible for neuroendocrine regulation and GnRH neuron function. High-throughput, next-generation sequencing (NGS) allows to analyze numerous gene sequences at the same time. Nowadays, whole exome or whole genome datasets could be investigated in clinical genetic diagnostics due to their favorable cost-benefit. The increasing genetic data generated by NGS reveal novel candidate genes and gene variants with unknown significance (VUSs). To provide clinically valuable genetic results, complex clinical and bioinformatics work are needed. The multifaceted genetics of CHH, the variable mode of inheritance, the incomplete penetrance, variable expressivity and oligogenic characteristics further complicate the interpretation of the genetic variants detected. The objective of this work, apart from reviewing the currently known genes associated with CHH, was to summarize the advantages and disadvantages of the NGS-based platforms and through the authors' own practice to guide through the whole workflow starting from gene panel design, performance analysis and result interpretation. Based on our results, a genetic diagnosis was clearly identified in 21% of cases tested (8/38).

Indexed as

AnimalsExomeGenetic VariationGonadotropin-Releasing HormoneHigh-Throughput Nucleotide SequencingHumansHypogonadismPathology, MolecularPhenotypeGonadotropin-Releasing Hormone

Identifiers

PMID32222824
PMCPMC7864839
OpenAlexW3013500571

What Socratic holds

Textmetadata
LicenceCC BY
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.