Evidence map›Paper›PMID 36813834›Full record

ArticleJournal of human genetics2023

Whole-genome sequencing of 1029 Indian individuals reveals unique and rare structural variants.

Mohit Kumar Divakar, Abhinav Jain, Rahul C Bhoyar, Vigneshwar Senthivel, Bani Jolly, Mohamed Imran, Disha Sharma, Anjali Bajaj, Vishu Gupta, Vinod Scaria and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of human genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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.

Mohit Kumar DivakarCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Abhinav JainCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Rahul C BhoyarCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Vigneshwar SenthivelCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Bani JollyCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Mohamed ImranCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Disha SharmaCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Anjali BajajCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Vishu GuptaCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India.
Vinod ScariaCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India. vinods@igib.in.
Sridhar SivasubbuCSIR-Institute of Genomics and Integrative Biology (CSIR-IGIB), Mathura Road, New Delhi, 110025, India. s.sivasubbu@igib.res.in.

Funding

Council of Scientific and Industrial Research (CSIR) MLP1809, MLP1801, MLP2001
6 · The paper itself

Abstract

Structural variants contribute to genetic variability in human genomes and they can be presented in population-specific patterns. We aimed to understand the landscape of structural variants in the genomes of healthy Indian individuals and explore their potential implications in genetic disease conditions. For the identification of structural variants, a whole genome sequencing dataset of 1029 self-declared healthy Indian individuals from the IndiGen project was analysed. Further, these variants were evaluated for potential pathogenicity and their associations with genetic diseases. We also compared our identified variations with the existing global datasets. We generated a compendium of total 38,560 high-confident structural variants, comprising 28,393 deletions, 5030 duplications, 5038 insertions, and 99 inversions. Particularly, we identified around 55% of all these variants were found to be unique to the studied population. Further analysis revealed 134 deletions with predicted pathogenic/likely pathogenic effects and their affected genes were majorly enriched for neurological disease conditions, such as intellectual disability and neurodegenerative diseases. The IndiGenomes dataset helped us to understand the unique spectrum of structural variants in the Indian population. More than half of identified variants were not present in the publicly available global dataset on structural variants. Clinically important deletions identified in IndiGenomes might aid in improving the diagnosis of unsolved genetic diseases, particularly in neurological conditions. Along with basal allele frequency data and clinically important deletions, IndiGenomes data might serve as a baseline resource for future studies on genomic structural variant analysis in the Indian population.

Indexed as

Asian PeopleGenome, HumanGene FrequencyHumansWhole Genome Sequencing

Identifiers

What OpenQuestion holds

Textmetadata
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.