Evidence map›Paper›PMID 22938532›Full record

ArticleBMC genomics2012

Sequencing and analysis of a South Asian-Indian personal genome.

Ravi Gupta, Aakrosh Ratan, Changanamkandath Rajesh, Rong Chen, Hie Lim Kim, Richard Burhans, Webb Miller, Sam Santhosh, Ramana V Davuluri, Atul J Butte and 3 more

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Article in BMC genomics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

  1. Pooled it
  2. Article
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  4. Article
  5. Review
  6. Article
  7. Article
  8. SAGE: a comprehensive resource of genetic variants integrating South Asian whole genomes and exomes.Database : the journal of biological databases and curation · 2018
    Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. The South Asian genome.PloS one · 2014
    Article
  15. Article
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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

13 authors.

Ravi GuptaSciGenom Labs Pvt Ltd, Kakkanad, Cochin, Kerala, India.
Aakrosh Ratan
Changanamkandath Rajesh
Rong Chen
Hie Lim Kim
Richard Burhans
Webb Miller
Sam Santhosh
Ramana V Davuluri
Atul J Butte
Stephan C Schuster
Somasekar Seshagiri
George Thomas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith over 1.3 billion people, India is estimated to contain three times more genetic diversity than does Europe. Next-generation sequencing technologies have facilitated the understanding of diversity by enabling whole genome sequencing at greater speed and lower cost. While genomes from people of European and Asian descent have been sequenced, only recently has a single male genome from the Indian subcontinent been published at sufficient depth and coverage. In this study we have sequenced and analyzed the genome of a South Asian Indian female (SAIF) from the Indian state of Kerala.

resultsWe identified over 3.4 million SNPs in this genome including over 89,873 private variations. Comparison of the SAIF genome with several published personal genomes revealed that this individual shared ~50% of the SNPs with each of these genomes. Analysis of the SAIF mitochondrial genome showed that it was closely related to the U1 haplogroup which has been previously observed in Kerala. We assessed the SAIF genome for SNPs with health and disease consequences and found that the individual was at a higher risk for multiple sclerosis and a few other diseases. In analyzing SNPs that modulate drug response, we found a variation that predicts a favorable response to metformin, a drug used to treat diabetes. SNPs predictive of adverse reaction to warfarin indicated that the SAIF individual is not at risk for bleeding if treated with typical doses of warfarin. In addition, we report the presence of several additional SNPs of medical relevance.

conclusionsThis is the first study to report the complete whole genome sequence of a female from the state of Kerala in India. The availability of this complete genome and variants will further aid studies aimed at understanding genetic diversity, identifying clinically relevant changes and assessing disease burden in the Indian population.

Indexed as

Chromosome MappingGenome, HumanGenome, MitochondrialPolymorphism, Single NucleotideAnticoagulantsAsian PeopleDiabetes MellitusDNA Copy Number VariationsFemaleGenetic Predisposition to DiseaseGenetic VariationHaplotypesHemorrhageHumansHypoglycemic AgentsIndiaAnticoagulantsHypoglycemic AgentsMetforminWarfarin

Identifiers

PMID22938532
PMCPMC3534380

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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.