Evidence map›Paper›PMID 27279261›Full record

ArticleHuman mutation2016

The SSV Evaluation System: A Tool to Prioritize Short Structural Variants for Studies of Possible Regulatory and Causal Variants.

Robert Saul, Michael W Lutz, Daniel K Burns, Allen D Roses, Ornit Chiba-Falek

Abstract read
In one paragraph

Article in Human mutation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. NovelFrontiers in aging neuroscience · 2021
    Article
  8. Disease-modifying effects of anNeurology. Genetics · 2020
    Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. 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

5 authors.

Robert SaulPolymorphic DNA Technologies, Alameda, California, 94501.
Michael W LutzDepartment of Neurology, Duke University Medical Center, Durham, North Carolina, 27710.
Daniel K BurnsZinfandel Pharmaceuticals, Chapel Hill, North Carolina, 27710.
Allen D RosesDepartment of Neurology, Duke University Medical Center, Durham, North Carolina, 27710.
Ornit Chiba-FalekDepartment of Neurology, Duke University Medical Center, Durham, North Carolina, 27710.

Funding

Role of the TOMM40 poly-T variant in the pathogenesis of Alzheimer's diseaseR01AG040370 · NIA · DUKE UNIVERSITY · PI CHIBA-FALEK, ORNIT · 2013 to 2017
$2.2M
Lewy body neuropathologies and SNCA gene: variants expression and splicingR01NS085011 · NINDS · DUKE UNIVERSITY · PI CHIBA-FALEK, ORNIT · 2013 to 2017
$1.8M
NIA NIH HHS R01 AG040370NINDS NIH HHS R01 NS085011
6 · The paper itself

Abstract

Short structural variants (SSVs) are short genomic variants (<50 bp) other than SNPs. It has been suggested that SSVs contribute to many human complex traits. However, high-throughput analysis of SSVs presents numerous technical challenges. In order to facilitate the discovery and assessment of SSVs, we have developed a prototype bioinformatics tool, "SSV evaluation system," which is a searchable, annotated database of SSVs in the human genome, with associated customizable scoring software that is used to evaluate and prioritize SSVs that are most likely to have significant biological effects and impact on disease risk. This new bioinformatics tool is a component in a larger strategy that we have been using to discover potentially important SSVs within candidate genomic regions that have been identified in genome-wide association studies, with the goal to prioritize potential functional/causal SSVs and focus the follow-up experiments on a relatively small list of strong candidate SSVs. We describe our strategy and discuss how we have used the SSV evaluation system to discover candidate causal variants related to complex neurodegenerative diseases. We present the SSV evaluation system as a powerful tool to guide genetic investigations aiming to uncover SSVs that underlie human complex diseases including neurodegenerative diseases in aging.

Indexed as

Genetic Predisposition to DiseaseGenetic VariationComputational BiologyGenome-Wide Association StudyGenomicsHumansSoftwarebioinformatics toolcausal variantshuman complex diseasesSTRstructural variants

Identifiers

PMID27279261
PMCPMC4983215

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.