Evidence map›Paper›PMID 30615482›Full record

ArticleJournal of computational biology : a journal of computational molecular cell biology2019

INDEX-db: The Indian Exome Reference Database (Phase I).

Husayn Ahmed P, Vidhya V, Ravi Prabhakar More, Biju Viswanath, Sanjeev Jain, Mahendra S Rao, Odity Mukherjee, ADBS Consortium

Abstract read
In one paragraph

Article in Journal of computational biology : a journal of computational molecular cell biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

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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

8 authors.

Husayn Ahmed P1 Accelerator Program for Discovery in Brain Disorders Using Stem Cells (ADBS), National Centre for Biological Sciences, Tata Institute of Fundamental Research (NCBS-TIFR), Bengaluru, India.
Vidhya V3 Accelerator Program for Discovery in Brain Disorders Using Stem Cells (ADBS), Centre for Brain Development and Repair (CBDR), Institute for Stem Cell Biology and Regenerative Medicine (InStem), Bengaluru, India.
Ravi Prabhakar More1 Accelerator Program for Discovery in Brain Disorders Using Stem Cells (ADBS), National Centre for Biological Sciences, Tata Institute of Fundamental Research (NCBS-TIFR), Bengaluru, India.
Biju Viswanath4 Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Sanjeev Jain4 Department of Psychiatry, National Institute of Mental Health and Neuro Sciences (NIMHANS), Bengaluru, India.
Mahendra S Rao3 Accelerator Program for Discovery in Brain Disorders Using Stem Cells (ADBS), Centre for Brain Development and Repair (CBDR), Institute for Stem Cell Biology and Regenerative Medicine (InStem), Bengaluru, India.
Odity Mukherjee
ADBS Consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Deep sequencing-based genetic mapping has greatly enhanced the ability to catalog variants with plausible disease association. Confirming how these identified variants contribute to specific disease conditions, across human populations, poses the next challenge. Differential selection pressure may impact the frequency of genetic variations, and thus detection of association with disease conditions, across populations. To understand genotype to phenotype correlations, it thus becomes important to first understand the spectrum of genetic variation within a population by creating a reference map. In this study, we report the development of phase I of a new database of genetic variations called INDian EXome database (INDEX-db), from the Indian population, with an aim to establish a centralized database of integrated information. This could be useful for researchers involved in studying disease mechanisms at clinical, genetic, and cellular levels.

Indexed as

Databases, GeneticExomeSoftwareExome SequencingGenetic VariationGenome-Wide Association StudyHumansIndiaPopulationReference Standardsgenetic variations catalogueIndian populationpopulation-specific databasewhole exome sequencing

Identifiers

PMID30615482
PMCPMC6441288

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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.