Evidence map›Paper›PMID 34440832›Full record

ReviewCells2021

Applying Bioinformatic Platforms, In Vitro, and In Vivo Functional Assays in the Characterization of Genetic Variants in the GH/IGF Pathway Affecting Growth and Development.

Sabina Domené, Paula A Scaglia, Mariana L Gutiérrez, Horacio M Domené

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Review
  4. Article
  5. 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 at 2 institutions in 1 country.

Sabina DomenéCentro de Investigaciones Endocrinológicas 'Dr César Bergadá', (CEDIE) CONICET, FEI, División de Endocrinología, Hospital de Niños Ricardo Gutiérrez), Buenos Aires C1425EFD, Argentina.
Paula A ScagliaCentro de Investigaciones Endocrinológicas 'Dr César Bergadá', (CEDIE) CONICET, FEI, División de Endocrinología, Hospital de Niños Ricardo Gutiérrez), Buenos Aires C1425EFD, Argentina.
Mariana L GutiérrezCentro de Investigaciones Endocrinológicas 'Dr César Bergadá', (CEDIE) CONICET, FEI, División de Endocrinología, Hospital de Niños Ricardo Gutiérrez), Buenos Aires C1425EFD, Argentina.
Horacio M DomenéCentro de Investigaciones Endocrinológicas 'Dr César Bergadá', (CEDIE) CONICET, FEI, División de Endocrinología, Hospital de Niños Ricardo Gutiérrez), Buenos Aires C1425EFD, Argentina.
Consejo Nacional de Investigaciones Científicas y Técnicas · ARHospital General de Niños Ricardo Gutierrez · AR

Funding

Agencia Nacional de Promoción Científica y Tecnológica, Argentina. Préstamo BID PICT 2018-00579
6 · The paper itself

Abstract

Heritability accounts for over 80% of adult human height, indicating that genetic variability is the main determinant of stature. The rapid technological development of Next-Generation Sequencing (NGS), particularly Whole Exome Sequencing (WES), has resulted in the characterization of several genetic conditions affecting growth and development. The greatest challenge of NGS remains the high number of candidate variants identified. In silico bioinformatic tools represent the first approach for classifying these variants. However, solving the complicated problem of variant interpretation requires the use of experimental approaches such as in vitro and, when needed, in vivo functional assays. In this review, we will discuss a rational approach to apply to the gene variants identified in children with growth and developmental defects including: (i) bioinformatic tools; (ii) in silico modeling tools; (iii) in vitro functional assays; and (iv) the development of in vivo models. While bioinformatic tools are useful for a preliminary selection of potentially pathogenic variants, in vitro-and sometimes also in vivo-functional assays are further required to unequivocally determine the pathogenicity of a novel genetic variant. This long, time-consuming, and expensive process is the only scientifically proven method to determine causality between a genetic variant and a human genetic disease.

Indexed as

Genetic VariationAnimalsCarrier ProteinsComputational BiologyDNA Copy Number VariationsDwarfismHumansInsulin-Like Growth Factor ISignal TransductionTranscription FactorsCarrier ProteinsInsulin-Like Growth Factor Isomatotropin-binding proteinTranscription Factorsbioinformaticsfunctional assaysGH-IGF axisgrowth and developmentnext-generation sequencingshort stature

Identifiers

PMID34440832
PMCPMC8392544
OpenAlexW3188909913

What OpenQuestion 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 OpenQuestion graph.