Evidence map›Paper›PMID 27402678›Full record

ArticleDatabase : the journal of biological databases and curation2016

TMC-SNPdb: an Indian germline variant database derived from whole exome sequences.

Pawan Upadhyay, Nilesh Gardi, Sanket Desai, Bikram Sahoo, Ankita Singh, Trupti Togar, Prajish Iyer, Ratnam Prasad, Pratik Chandrani, Sudeep Gupta and 1 more

Open access · goldAbstract readDataset
In one paragraph

Article in Database : the journal of biological databases and curation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

10 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. TMC-SNPdb 2.0: an ethnic-specific database of Indian germline variants.Database : the journal of biological databases and curation · 2022
    Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. INDEX-db: The Indian Exome Reference Database (Phase I).Journal of computational biology : a journal of computational molecular cell biology · 2019
    Article
  9. Article
  10. Drug-sensitive FGFR3 mutations in lung adenocarcinoma.Annals of oncology : official journal of the European Society for Medical Oncology · 2017
    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

11 authors at 3 institutions in 2 countries.

Pawan UpadhyayIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Nilesh GardiIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Sanket DesaiIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Bikram SahooIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Ankita SinghIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Trupti TogarIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Prajish IyerIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Ratnam PrasadIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Pratik ChandraniIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC).
Sudeep GuptaDepartment of Medical Oncology, Tata Memorial Centre, Mumbai, Maharashtra 410012, India.
Amit DuttIntegrated Genomics Laboratory, Advanced Centre for Treatment Research Education in Cancer (ACTREC) adutt@actrec.gov.in.
Igenbio (United States) · USAdvanced Centre for Treatment, Research and Education in Cancer · INTata Memorial Hospital · IN

Funding

DBT-Wellcome Trust India Alliance IA/I/11/2500278
6 · The paper itself

Abstract

Cancer is predominantly a somatic disease. A mutant allele present in a cancer cell genome is considered somatic when it's absent in the paired normal genome along with public SNP databases. The current build of dbSNP, the most comprehensive public SNP database, however inadequately represents several non-European Caucasian populations, posing a limitation in cancer genomic analyses of data from these populations. We present the T: ata M: emorial C: entre-SNP D: ata B: ase (TMC-SNPdb), as the first open source, flexible, upgradable, and freely available SNP database (accessible through dbSNP build 149 and ANNOVAR)-representing 114 309 unique germline variants-generated from whole exome data of 62 normal samples derived from cancer patients of Indian origin. The TMC-SNPdb is presented with a companion subtraction tool that can be executed with command line option or using an easy-to-use graphical user interface with the ability to deplete additional Indian population specific SNPs over and above dbSNP and 1000 Genomes databases. Using an institutional generated whole exome data set of 132 samples of Indian origin, we demonstrate that TMC-SNPdb could deplete 42, 33 and 28% false positive somatic events post dbSNP depletion in Indian origin tongue, gallbladder, and cervical cancer samples, respectively. Beyond cancer somatic analyses, we anticipate utility of the TMC-SNPdb in several Mendelian germline diseases. In addition to dbSNP build 149 and ANNOVAR, the TMC-SNPdb along with the subtraction tool is available for download in the public domain at the following:Database URL: http://www.actrec.gov.in/pi-webpages/AmitDutt/TMCSNP/TMCSNPdp.html.

Indexed as

Databases, Nucleic AcidGenome, HumanGerm-Line MutationPolymorphism, Single NucleotideAsian PeopleFemaleHumansIndiaMaleNeoplasms

Identifiers

PMID27402678
PMCPMC4940432
OpenAlexW2466654534

What OpenQuestion holds

Textmetadata
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.