Evidence map›Paper›PMID 18560169›Full record

ArticleJournal of genetics2008

Genetic landscape of the people of India: a canvas for disease gene exploration.

Indian Genome Variation Consortium

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of genetics, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 130 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
130citing papers in PubMed, 6 pooled it
20.0field-weighted citation impact, top 1% of its field
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

130 citing papers in PubMed, 6 syntheses or guidelines pooled it, 293 citations in OpenAlex.

  1. Pooled it
  2. No evidence of correlation between p53 codon 72 G > C gene polymorphism and cancer risk in Indian population: a meta-analysis.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2014
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  12. AnNAR genomics and bioinformatics · 2022
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  15. Sequencing and comparative genome analysis of three Indians.Mammalian genome : official journal of the International Mammalian Genome Society · 2021
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70 more citing papers are in PubMed but not listed here.

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

1 author at 1 institution in 1 country.

Indian Genome Variation ConsortiumFunctional Genomics Unit, Institute of Genomics and Integrative Biology (CSIR), New Delhi, India. skb@igib.res.in
Institute of Genomics and Integrative Biology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Analyses of frequency profiles of markers on disease or drug-response related genes in diverse populations are important for the dissection of common diseases. We report the results of analyses of data on 405 SNPs from 75 such genes and a 5.2 Mb chromosome, 22 genomic region in 1871 individuals from diverse 55 endogamous Indian populations. These include 32 large (>10 million individuals) and 23 isolated populations, representing a large fraction of the people of India. We observe high levels of genetic divergence between groups of populations that cluster largely on the basis of ethnicity and language. Indian populations not only overlap with the diversity of HapMap populations, but also contain population groups that are genetically distinct. These data and results are useful for addressing stratification and study design issues in complex traits especially for heterogeneous populations.

Indexed as

Genetics, PopulationAllelesChromosomes, Human, Pair 22EthnicityGenetic Predisposition to DiseaseGenetic VariationHaplotypesHIV InfectionsHumansIndiaMethylenetetrahydrofolate Reductase (NADPH2)Polymorphism, Single NucleotideReceptors, CCR5Methylenetetrahydrofolate Reductase (NADPH2)Receptors, CCR5

Identifiers

PMID18560169
OpenAlexW1526673237

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.