Evidence map›Paper›PMID 25389433›Full record

ReviewFrontiers in genetics2014

Identification of rare variants in Alzheimer's disease.

Jenny Lord, Alexander J Lu, Carlos Cruchaga

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
–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

21 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Article
  6. Review
  7. Genetic architecture of Alzheimer's disease.Neurobiology of disease · 2020
    Review
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Molecular Genetics of Neurodegenerative Dementias.Cold Spring Harbor perspectives in biology · 2017
    Review
  14. Review
  15. Review
  16. Article
  17. New Genetic Approaches to AD: Lessons from APOE-TOMM40 Phylogenetics.Current neurology and neuroscience reports · 2016
    Review
  18. Review
  19. Article
  20. 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

3 authors.

Jenny LordDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Alexander J LuDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA.
Carlos CruchagaDepartment of Psychiatry, Washington University School of Medicine St. Louis, MO, USA ; Hope Center Program on Protein Aggregation and Neurodegeneration, Washington University School of Medicine St. Louis, MO, USA.

Funding

Identifying Rare Variants that Increase Risk for Alzheimer's DiseaseRF1AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2019 to 2019
$3.6M
Genetic Architecture of Acute Human Brain IschemiaR01NS085419 · NINDS · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS, LEE, JIN-MOO · 2014 to 2018
$2.8M
IDENTIFYING RARE VARIANTS THAT INCREASE RISK FOR ALZHEIMER'S DISEASER01AG044546 · NIA · WASHINGTON UNIVERSITY · PI CRUCHAGA, CARLOS · 2013 to 2017
$2.7M
NIA NIH HHS R01 AG044546NIA NIH HHS RF1 AG044546NINDS NIH HHS R01 NS085419
6 · The paper itself

Abstract

Much progress has been made in recent years in identifying genes involved in the risk of developing Alzheimer's disease (AD), the most common form of dementia. Yet despite the identification of over 20 disease associated loci, mainly through genome wide association studies (GWAS), a large proportion of the genetic component of the disorder remains unexplained. Recent evidence from the AD field, as with other complex diseases, suggests a large proportion of this "missing heritability" may be due to rare variants of moderate to large effect size, but the methodologies to detect such variants are still in their infancy. The latest studies in the field have been focused on the identification of coding variation associated with AD risk, through whole-exome or whole-genome sequencing. Such variants are expected to have larger effect sizes than GWAS loci, and are easier to functionally characterize, and develop cellular and animal models for. This review explores the issues involved in detecting rare variant associations in the context of AD, highlighting some successful approaches utilized to date.

Indexed as

Alzheimer’s diseaseexome sequencinggenome sequencingpopulation differencesrare variantsreplication

Identifiers

PMID25389433
PMCPMC4211559

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.