Evidence map›Paper›PMID 32987860›Full record

ArticleGenes2020

High-Throughput Genetic Testing in ALS: The Challenging Path of Variant Classification Considering the ACMG Guidelines.

Serena Lattante, Giuseppe Marangi, Paolo Niccolò Doronzio, Amelia Conte, Giulia Bisogni, Marcella Zollino, Mario Sabatelli

Open access · goldAbstract read
In one paragraph

Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 14% 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

13 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Evidence-based consensus guidelines for ALS genetic testing and counseling.Annals of clinical and translational neurology · 2023
    Article
  5. Article
  6. Article
  7. Article
  8. Genes · 2022
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. 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

7 authors at 2 institutions in 1 country.

Serena LattanteSection of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy.ORCID 0000-0003-2891-0340
Giuseppe MarangiSection of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy.ORCID 0000-0002-6898-8882
Paolo Niccolò DoronzioSection of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy.
Amelia ConteAdult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy.
Giulia BisogniAdult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy.
Marcella ZollinoSection of Genomic Medicine, Department of Life Sciences and Public Health, Faculty of Medicine and Surgery, Catholic University of the Sacred Heart, 00168 Roma, Italy.
Mario SabatelliAdult NEMO Clinical Center, Complex Operational Unit of Neurology, Department of Aging, Neurological, Orthopedic and Head-Neck Sciences, A. Gemelli University Hospital Foundation IRCCS, 00168 Roma, Italy.
Università Cattolica del Sacro Cuore · ITCentro Clinico Nemo · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The development of high-throughput sequencing technologies and screening of big patient cohorts with familial and sporadic amyotrophic lateral sclerosis (ALS) led to the identification of a significant number of genetic variants, which are sometimes difficult to interpret. The American College of Medical Genetics and Genomics (ACMG) provided guidelines to help molecular geneticists and pathologists to interpret variants found in laboratory testing. We assessed the application of the ACMG criteria to ALS-related variants, combining data from literature with our experience. We analyzed a cohort of 498 ALS patients using massive parallel sequencing of ALS-associated genes and identified 280 variants with a minor allele frequency < 1%. Examining all variants using the ACMG criteria, thus considering the type of variant, inheritance, familial segregation, and possible functional studies, we classified 20 variants as "pathogenic". In conclusion, ALS's genetic complexity, such as oligogenic inheritance, presence of genes acting as risk factors, and reduced penetrance, needs to be considered when interpreting variants. The goal of this work is to provide helpful suggestions to geneticists and clinicians dealing with ALS.

Indexed as

Genetic VariationGenome, HumanAmyotrophic Lateral SclerosisCase-Control StudiesCohort StudiesComputational BiologyGenetics, MedicalGenetic TestingHigh-Throughput Nucleotide SequencingHumansSoftwareACMG guidelinesamyotrophic lateral sclerosisgene panel sequencinghigh-throughput genetic testing

Identifiers

PMID32987860
PMCPMC7600768
OpenAlexW3088107043

What OpenQuestion holds

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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.