Evidence map›Paper›PMID 27158917›Full record

ArticleHuman mutation2016

Interactive Exploration, Analysis, and Visualization of Complex Phenome-Genome Datasets with ASPIREdb.

Powell Patrick Cheng Tan, Sanja Rogic, Anton Zoubarev, Cameron McDonald, Frances Lui, Gayathiri Charathsandran, Matthew Jacobson, Manuel Belmadani, Justin Leong, Thea Van Rossum and 8 more

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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

18 authors.

Powell Patrick Cheng TanMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Sanja RogicMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Anton ZoubarevMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Cameron McDonaldMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Frances LuiMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Gayathiri CharathsandranMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Matthew JacobsonMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Manuel BelmadaniMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Justin LeongMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Thea Van RossumMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Elodie Portales-CasamarMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.
Ying QiaoDepartment of Pathology, BC Child and Family Research Institute, University of British Columbia (UBC), Vancouver, British Columbia V5Z 4H4, Canada.
Kristina CalliDepartment of Medical Genetics, BC Child and Family Research Institute, UBC, Vancouver, British Columbia V6H 3N1, Canada.
Xudong LiuDepartment of Psychiatry, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
Melissa HudsonDepartment of Psychiatry, Queen's University, Kingston, Ontario, K7L 3N6, Canada.
Evica Rajcan-SeparovicDepartment of Pathology, BC Child and Family Research Institute, University of British Columbia (UBC), Vancouver, British Columbia V5Z 4H4, Canada.
Me Suzanne LewisDepartment of Medical Genetics, BC Child and Family Research Institute, UBC, Vancouver, British Columbia V6H 3N1, Canada.
Paul PavlidisMichael Smith Laboratories and Department of Psychiatry, University of British Columbia, Vancouver, British Columbia, Canada.

Funding

Neuroinformatics for gene expression: networks, function and meta-analysisR01MH111099 · NIMH · UNIVERSITY OF BRITISH COLUMBIA · PI PAVLIDIS, PAUL · 2016 to 2025
$3.6M
Neuroinformatics for gene expression: networks, function and meta-analysisR01GM076990 · NIGMS · UNIVERSITY OF BRITISH COLUMBIA · PI BIROL, INANC, PAVLIDIS, PAUL · 2005 to 2014
$2.0M
NIGMS NIH HHS R01 GM076990NIMH NIH HHS R01 MH111099
6 · The paper itself

Abstract

Identifying variants causal for complex genetic disorders is challenging. With the advent of whole-exome and whole-genome sequencing, computational tools are needed to explore and analyze the list of variants for further validation. Correlating genetic variants with subject phenotype is crucial for the interpretation of the disease-causing mutations. Often such work is done by teams of researchers who need to share information and coordinate activities. To this end, we have developed a powerful, easy to use Web application, ASPIREdb, which allows researchers to search, organize, analyze, and visualize variants and phenotypes associated with a set of human subjects. Investigators can annotate variants using publicly available reference databases and build powerful queries to identify subjects or variants of interest. Functional information and phenotypic associations of these genes are made accessible as well. Burden analysis and additional reporting tools allow investigation of variant properties and phenotype characteristics. Projects can be shared, allowing researchers to work collaboratively to build queries and annotate the data. We demonstrate ASPIREdb's functionality using publicly available data sets, showing how the software can be used to accomplish goals that might otherwise require specialized bioinformatics expertise. ASPIREdb is available at http://aspiredb.chibi.ubc.ca.

Indexed as

Genetic VariationComputational BiologyDatabases, GeneticExomeGenetic Predisposition to DiseaseGenome, HumanHigh-Throughput Nucleotide SequencingHumansPhenotypeWeb Browsercomputational biologygenotype-phenotypevisualizationWESWGSwhole-exome sequencingwhole-genome sequencing

Identifiers

PMID27158917
PMCPMC4940263

What OpenQuestion holds

Textmetadata
LicenceTDM
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.