Evidence map›Paper›PMID 32550548›Full record

ArticleGene: X2019

VitiVar: A locus specific database of vitiligo associated genes and variations.

Iti Gupta, Ankita Narang, Prateek Singh, Vijeta Manchanda, Sangeeta Khanna, Indian Genome Variation Consortium, Mitali Mukerji, Vivek T Natarajan, Debasis Dash

Open access · hybridAbstract read
In one paragraph

Article in Gene: X, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 37% of its field
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

2 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. 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

9 authors at 2 institutions in 1 country.

Iti GuptaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India.
Ankita NarangCSIR's Ayurgenomics Unit - TRISUTRA (Translational Research and Innovative Science ThRough Ayurgenomics), CSIR-IGIB, Mathura Road, Delhi, India.
Prateek SinghCSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India.
Vijeta ManchandaCSIR's Ayurgenomics Unit - TRISUTRA (Translational Research and Innovative Science ThRough Ayurgenomics), CSIR-IGIB, Mathura Road, Delhi, India.
Sangeeta KhannaCSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India.
Indian Genome Variation Consortium
Mitali MukerjiCSIR's Ayurgenomics Unit - TRISUTRA (Translational Research and Innovative Science ThRough Ayurgenomics), CSIR-IGIB, Mathura Road, Delhi, India.
Vivek T NatarajanCSIR-Institute of Genomics and Integrative Biology, Mathura Road, Delhi, India.
Debasis DashCSIR's Ayurgenomics Unit - TRISUTRA (Translational Research and Innovative Science ThRough Ayurgenomics), CSIR-IGIB, Mathura Road, Delhi, India.
Institute of Genomics and Integrative Biology · INAcademy of Scientific and Innovative Research · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vitiligo is the most common skin pigmentation disorder which affects around 1% of the population worldwide. The disease has complex pathogenesis and is of multifactorial etiology, that finally culminates in patchy depigmentation of skin. Genetic contribution to the disease is well studied, however the information about multiple associated genes and contributing variations are scattered across the literature. To address this complex disorder affecting the skin, we systematically cataloged the genes and variations by creating a Locus Specific Database for vitiligo called, "VitiVar". This comprehensive resource houses manually curated 322 genes and 254 variations, from 202 articles indexed in PubMed. We applied an integrative approach to stratify genes and variations to facilitate dissection of vitiligo pathogenesis by layering it with expression status in specific constituent cell types of skin and in-house vitiligo expression data. Finally, we were able to demonstrate the utility of VitiVar by generating a vitiligo interactome using GeneMANIA and overlaying the vitiligo and cell type specific information. This interaction network yielded 20 new genes (apart from 322 VitiVar genes) of which we were able to prioritize

Indexed as

DatabaseLocus specific databaseNetwork biologyTranscriptomicsVariationVitiligo

Identifiers

PMID32550548
PMCPMC7286000
OpenAlexW2944718356

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.