Evidence map›Paper›PMID 29892955›Full record

ArticleGenes & genomics2018

Whole genome variant analysis in three ethnically diverse Indians.

Seema Malhotra, Sayar Singh, Soma Sarkar

Abstract read
PubMed Publisher
In one paragraph

Article in Genes & genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Seema MalhotraDefence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Sayar SinghDefence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India.
Soma SarkarDefence Institute of Physiology and Allied Sciences (DIPAS), Defence Research and Development Organization, Ministry of Defence, Government of India, Lucknow Road, Delhi, 110054, India. soma_sarkar2000@yahoo.com.

Funding

Defence Research and Development Organisation ST/14-15/DIP-265/2535/D(R&D) SUBPROJECT 7
6 · The paper itself

Abstract

India represents an amazing confluence of geographically, linguistically and socially disparate ethnic populations (Indian Genome Variation Consortium, J Genet 87:3-20, 2008). Understanding the genetic diversity of Indian population remains a daunting task. In this paper we present detailed analysis of genomic variations (high-depth coverage (~ 30×) using Illumina Hiseq 2000 platform) from three healthy Indian male individuals each belonging to three geographically delineated regions and linguistic phylum viz. high altitude region of Ladakh (Tibeto-Burman linguistic phylum), sub mountainous region of Kumaun (Indo-European linguistic phylum) and sea level region of Telangana (Dravidian linguistic phylum) for probing the extent of genetic diversity in our population. The sequencing analysis provided high quality data (~ 95% of the total reads aligned to the human reference genome for each sample) and very good alignment quality (> 80% of the filtered mapped reads had a quality score of 60). A total of 4.3, 3.7 and 4.3 million single nucleotide variations were identified in the genome of high altitude, sub mountainous and sea level respectively by comparing with human reference genome. Approximately 17.3, 18.2, 17.4% of the variants were unique in the three genomes. The study identified many novel variations in the three diverse genomes (132,970 in Ladakh, 112,317 in Kumaun and 128,881 in Telangana individual) and is an important resource for creating a baseline and a comprehensive catalogue of human genomic variation across the Indian as well as the Asian continent.

Indexed as

AdultAsian PeopleEthnicityGene FrequencyGenetics, PopulationGenetic VariationGenome, MitochondrialGenomicsGeographyHaplotypesHumansIndiaMaleMutationPhylogeographyWhite PeopleEthnicGenetic diversityIndian genomeWhole 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.