Evidence map›Paper›PMID 30184194›Full record

ArticleDatabase : the journal of biological databases and curation2018

SAGE: a comprehensive resource of genetic variants integrating South Asian whole genomes and exomes.

Judith Mary Hariprakash, Shamsudheen Karuthedath Vellarikkal, Ankit Verma, Anop Singh Ranawat, Rijith Jayarajan, Rowmika Ravi, Anoop Kumar, Vishal Dixit, Ambily Sivadas, Atul Kumar Kashyap and 5 more

Abstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
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

15 authors.

Judith Mary HariprakashGN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Shamsudheen Karuthedath VellarikkalGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Ankit VermaGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Anop Singh RanawatGN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Rijith JayarajanGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Rowmika RaviGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Anoop KumarGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Vishal DixitGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Ambily SivadasGN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Atul Kumar KashyapGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Vigneshwar SenthivelGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Paras SehgalGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Vijayalakshmi MahadevanSchool of Chemical & Biotechnology, Shanmugha Arts, Science, Technology and Research Academy (SASTRA) University, Thanjavur, Tamil Nadu 613402, India.
Vinod ScariaGN Ramachandran Knowledge Center for Genome Informatics, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.
Sridhar SivasubbuGenomics & Molecular Medicine, Council of Scientific and Industrial Research (CSIR) Institute of Genomics & Integrative Biology, Mathura Road, Delhi 110025, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

South Asia is home to $\sim $20% of the world population and characterized by distinct ethnic, linguistic, cultural and genetic lineages. Only limited representative samples from the region have found its place in large population-scale international genome projects. The recent availability of genome scale data from multiple populations and datasets from South Asian countries in public domain motivated us to integrate the data into a comprehensive resource. In the present study, we have integrated a total of six datasets encompassing 1213 human exomes and genomes to create a compendium of 154 814 557 genetic variants and adding a total of 69 059 255 novel variants. The variants were systematically annotated using public resources and along with the allele frequencies are available as a browsable-online resource South Asian genomes and exomes. As a proof of principle application of the data and resource for genetic epidemiology, we have analyzed the pathogenic genetic variants causing retinitis pigmentosa. Our analysis reveals the genetic landscape of the disease and suggests subset of genetic variants to be highly prevalent in South Asia.

Indexed as

Genetic VariationGenome, HumanAsian PeopleDatabases, GeneticExomeGene FrequencyHumansMolecular EpidemiologyMolecular Sequence AnnotationPublications

Identifiers

PMID30184194
PMCPMC6146123

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.