Evidence map›Paper›PMID 39044379›Full record

ArticleAnnals of clinical and translational neurology2024

ALS Identified: two-year findings from a sponsored ALS genetic testing program.

Stephen A Goutman, Namita A Goyal, Katelyn Payne, Coro Paisán-Ruiz, Varant Kupelian, Melissa L Kang, Adele A Mitchell, Teresa E Fecteau

Abstract read
In one paragraph

Article in Annals of clinical and translational neurology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Genetic analysis ofFrontiers in aging neuroscience · 2025
    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

8 authors.

Stephen A GoutmanUniversity of Michigan, Ann Arbor, Michigan, USA.ORCID 0000-0001-8780-6637
Namita A GoyalUniversity of California Irvine, Orange, California, USA.
Katelyn PayneIndiana University Health, Indianapolis, Indiana, USA.
Coro Paisán-RuizBiogen, Cambridge, Massachusetts, USA.
Varant KupelianBiogen, Cambridge, Massachusetts, USA.
Melissa L KangBiogen, Cambridge, Massachusetts, USA.
Adele A MitchellBiogen, Cambridge, Massachusetts, USA.
Teresa E FecteauBiogen, Cambridge, Massachusetts, USA.

Funding

Biogen (Cambridge, MA, USA)
6 · The paper itself

Abstract

objectiveTo report initial results from the Amyotrophic Lateral Sclerosis (ALS) Identified genetic testing (GT) program on characteristics of individuals tested and frequency of reported disease-causing variants.

methodsALS Identified used the Invitae Amyotrophic Lateral Sclerosis panel (Invitae, San Francisco, CA, USA) to assay 22 ALS-associated genes. Sponsored by Biogen (Cambridge, MA, USA), the program was launched in June 2021 and was available at no charge to individuals ≥18 years in the United States and Puerto Rico with an ALS diagnosis or a known family history of ALS. Deidentified data were available to Biogen.

resultsAs of 26 October 2023, 998 healthcare professionals ordered the panel at 681 unique care sites. Of 8054 individuals examined, 7483 (92.9%) were reported to have a clinical diagnosis of ALS, while 571 (7.1%) were asymptomatic relatives. Of the individuals with a clinical ALS diagnosis, 57.7% were male (n = 4319) and 42.3% female (n = 3164). Mean (SD) age at diagnosis is 62 (13) years. Out of the 7483 clinically diagnosed individuals, 1810 (24.2%) showed genetic variations in ALS-associated genes. Among these, 865 individuals (47.8%) carried pathogenic variants, and 44 (2.4%) had likely pathogenic variants, totaling 12.1% of the clinically diagnosed population.

interpretationSince 2021 there has been robust uptake and sustained use of the ALS Identified program, one of the largest samples of people with ALS to date across the United States, demonstrating the interest and need for genetic ALS testing.

Indexed as

Amyotrophic Lateral SclerosisGenetic TestingAdultAgedFemaleHumansMaleMiddle AgedUnited States

Identifiers

PMID39044379
PMCPMC11330217

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