Evidence map›Paper›PMID 25023141›Full record

SynthesisJAMA neurology2014

Genome-wide analysis of the heritability of amyotrophic lateral sclerosis.

Margaux F Keller, Luigi Ferrucci, Andrew B Singleton, Pentti J Tienari, Hannu Laaksovirta, Gabriella Restagno, Adriano Chiò, Bryan J Traynor, Michael A Nalls

Erratum issuedAbstract readMeta-Analysis
In one paragraph

Synthesis in JAMA neurology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing 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

41 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Dysregulated NFrontiers of medicine · 2024
    Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Review
  13. Motoneuron Diseases.Advances in neurobiology · 2022
    Article
  14. Review
  15. Article
  16. Article
  17. Pathogenic Effect ofNeurology · 2021
    Article
  18. Review
  19. Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Margaux F KellerMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland2Department of Biological Anthropology, Temple University, Philadelphia, Pennsylvania.
Luigi FerrucciLongitudinal Studies Section, Clinical Research Branch, National Institute on Aging, National Institutes of Health, Baltimore, Maryland.
Andrew B SingletonMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.
Pentti J TienariDepartment of Neurology, Helsinki University Central Hospital and Molecular Neurology, Research Programs Unit, Biomedicum, University of Helsinki, Helsinki, Finland.
Hannu LaaksovirtaDepartment of Neurology, Helsinki University Central Hospital and Molecular Neurology, Research Programs Unit, Biomedicum, University of Helsinki, Helsinki, Finland.
Gabriella RestagnoMolecular Genetics Unit, Department of Clinical Pathology, ASO OIRM-St Anna, Turin, Italy.
Adriano ChiòRita Levi-Montalcini Department of Neuroscience, University of Turin, Turin, Italy.
Bryan J TraynorNeuromuscular Diseases Research Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.
Michael A NallsMolecular Genetics Section, Laboratory of Neurogenetics, National Institute on Aging, National Institutes of Health, Bethesda, Maryland.

Funding

Genome wide SNP analysis in Amyotrophic Lateral SclerosisZIAAG000933 · NIA · NATIONAL INSTITUTE ON AGING · PI TRAYNOR, BRYAN · 2009 to 2025
$9.8M
Genome wide SNP analysis in Parkinson's diseaseZ01AG000949 · NIA · NATIONAL INSTITUTE ON AGING · PI SINGLETON, ANDREW B · 2006 to 2008
$2.6M
Genetic Epidemiology of ALS in VeteransR01ES013244 · NIEHS · DUKE UNIVERSITY · PI SCHMIDT, SILKE A · 2004 to 2008
$2.3M
Intramural NIH HHS Z01 AG000949Intramural NIH HHS ZIA AG000933Medical Research CouncilNIA NIH HHS Z01AG000949-02NIEHS NIH HHS ES013244NIEHS NIH HHS R01 ES013244
6 · The paper itself

Abstract

importanceConsiderable advances have been made in our understanding of the genetics underlying amyotrophic lateral sclerosis (ALS). Nevertheless, for the majority of patients who receive a diagnosis of ALS, the role played by genetics is unclear. Further elucidation of the genetic architecture of this disease will help clarify the role of genetic variation in ALS populations.

objectiveTo estimate the relative importance of genetic factors in a complex disease such as ALS by accurately quantifying heritability using genome-wide data derived from genome-wide association studies. DESIGN, SETTING, AND

participantsWe applied the genome-wide complex trait analysis algorithm to 3 genome-wide association study data sets that were generated from ALS case-control cohorts of European ancestry to estimate the heritability of ALS. Cumulatively, these data sets contained genotype data from 1223 cases and 1591 controls that had been previously generated and are publically available on the National Center for Biotechnology Information database of genotypes and phenotypes website (http://www.ncbi.nlm.nih.gov/gap). The cohorts genotyped as part of these genome-wide association study efforts include the InCHIANTI (aging in the Chianti area) Study, the Piemonte and Valle d'Aosta Register for Amyotrophic Lateral Sclerosis, the National Institute of Neurological Disorders and Stroke Repository, and an ALS specialty clinic in Helsinki, Finland. MAIN OUTCOMES AND MEASURES: A linear mixed model was used to account for all known single-nucleotide polymorphisms simultaneously and to quantify the phenotypic variance present in ostensibly outbred individuals. Variance measures were used to estimate heritability.

resultsWith our meta-analysis, which is based on genome-wide genotyping data, we estimated the overall heritability of ALS to be approximately 21.0% (95% CI, 17.1-24.9) (SE = 2.0%), indicating that additional genetic variation influencing risk of ALS loci remains to be identified. Furthermore, we identified 17 regions of the genome that display significantly high heritability estimates. Eleven of these regions represent novel candidate regions for ALS risk. CONCLUSIONS AND RELEVANCE: We found the heritability of ALS to be significantly higher than previously reported. We also identified multiple, novel genomic regions that we hypothesize may contain causative risk variants that influence susceptibility to ALS.

Indexed as

Genome-Wide Association StudyAmyotrophic Lateral SclerosisCase-Control StudiesCohort StudiesFemaleGenetic Predisposition to DiseaseGenotypeHumansMalePhenotypePolymorphism, Single Nucleotide

Identifiers

PMID25023141
PMCPMC4566960

What OpenQuestion holds

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Registered trials

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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.