↓ Skip to main content

Targeted Genetic Screen in Amyotrophic Lateral Sclerosis Reveals Novel Genetic Variants with Synergistic Effect on Clinical Phenotype

Overview of attention for article published in Frontiers in Molecular Neuroscience, November 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
96 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Targeted Genetic Screen in Amyotrophic Lateral Sclerosis Reveals Novel Genetic Variants with Synergistic Effect on Clinical Phenotype
Published in
Frontiers in Molecular Neuroscience, November 2017
DOI 10.3389/fnmol.2017.00370
Pubmed ID
Authors

Johnathan Cooper-Knock, Henry Robins, Isabell Niedermoser, Matthew Wyles, Paul R. Heath, Adrian Higginbottom, Theresa Walsh, Mbombe Kazoka, Project MinE ALS Sequencing Consortium, Paul G. Ince, Guillaume M. Hautbergue, Christopher J. McDermott, Janine Kirby, Pamela J. Shaw, Ahmad Al Kheifat, Ammar Al-Chalabi, Nazli Basak, Ian Blair, Annelot Dekker, Orla Hardiman, Winston Hide, Alfredo Iacoangeli, Kevin Kenna, John Landers, Russel McLaughlin, Jonathan Mill, Bas Middelkoop, Mattieu Moisse, Jesus Mora Pardina, Karen Morrison, Stephen Newhouse, Sara Pulit, Aleksey Shatunov, Chris Shaw, William Sproviero, Gijs Tazelaar, Philip van Damme, Leonard van den Berg, Rick van der Spek, Kristelvan Eijk, Michael van Es, Wouter van Rheenen, Joke van Vugt, Jan Veldink, Maarten Kooyman, Jonathan Glass, Wim Robberecht, Marc Gotkine, Vivian Drory, Matthew Kiernan, Miguel Mitne Neto, Mayana Ztaz, Philippe Couratier, Philippe Corcia, Vincenzo Silani, Adriano Chio, Mamede de Carvalho, Susana Pinto, Alberto Garcia Redondo, Peter Andersen, Markus Weber, Nicola Ticozzi

Abstract

Amyotrophic lateral sclerosis (ALS) is underpinned by an oligogenic rare variant architecture. Identified genetic variants of ALS include RNA-binding proteins containing prion-like domains (PrLDs). We hypothesized that screening genes encoding additional similar proteins will yield novel genetic causes of ALS. The most common genetic variant of ALS patients is a G4C2-repeat expansion within C9ORF72. We have shown that G4C2-repeat RNA sequesters RNA-binding proteins. A logical consequence of this is that loss-of-function mutations in G4C2-binding partners might contribute to ALS pathogenesis independently of and/or synergistically with C9ORF72 expansions. Targeted sequencing of genomic DNA encoding either RNA-binding proteins or known ALS genes (n = 274 genes) was performed in ALS patients to identify rare deleterious genetic variants and explore genotype-phenotype relationships. Genomic DNA was extracted from 103 ALS patients including 42 familial ALS patients and 61 young-onset (average age of onset 41 years) sporadic ALS patients; patients were chosen to maximize the probability of identifying genetic causes of ALS. Thirteen patients carried a G4C2-repeat expansion of C9ORF72. We identified 42 patients with rare deleterious variants; 6 patients carried more than one variant. Twelve mutations were discovered in known ALS genes which served as a validation of our strategy. Rare deleterious variants in RNA-binding proteins were significantly enriched in ALS patients compared to control frequencies (p = 5.31E-18). Nineteen patients featured at least one variant in a RNA-binding protein containing a PrLD. The number of variants per patient correlated with rate of disease progression (t-test, p = 0.033). We identified eighteen patients with a single variant in a G4C2-repeat binding protein. Patients with a G4C2-binding protein variant in combination with a C9ORF72 expansion had a significantly faster disease course (t-test, p = 0.025). Our data are consistent with an oligogenic model of ALS. We provide evidence for a number of entirely novel genetic variants of ALS caused by mutations in RNA-binding proteins. Moreover we show that these mutations act synergistically with each other and with C9ORF72 expansions to modify the clinical phenotype of ALS. A key finding is that this synergy is present only between functionally interacting variants. This work has significant implications for ALS therapy development.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 96 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 13 14%
Researcher 10 10%
Student > Bachelor 10 10%
Other 7 7%
Other 20 21%
Unknown 19 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 23%
Neuroscience 17 18%
Medicine and Dentistry 13 14%
Agricultural and Biological Sciences 11 11%
Nursing and Health Professions 2 2%
Other 5 5%
Unknown 26 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 27 November 2017.
All research outputs
#14,559,172
of 23,316,003 outputs
Outputs from Frontiers in Molecular Neuroscience
#1,585
of 2,972 outputs
Outputs of similar age
#185,068
of 332,049 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#51
of 124 outputs
Altmetric has tracked 23,316,003 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,972 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one is in the 42nd percentile – i.e., 42% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 332,049 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 124 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.