Evidence map›Paper›PMID 30647621›Full record

ArticleJournal, genetic engineering & biotechnology2016

Environmental selection influences the diversity of TLR genes in ethnic Rajbanshi population of North Bengal Region of India.

Avishek Das, Pokhraj Guha, Tapas Kumar Chaudhuri

Abstract read
In one paragraph

Article in Journal, genetic engineering & biotechnology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Avishek DasCellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohaunpur, Siliguri, West Bengal 734013, India.
Pokhraj GuhaCellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohaunpur, Siliguri, West Bengal 734013, India.
Tapas Kumar ChaudhuriCellular Immunology Laboratory, Department of Zoology, University of North Bengal, Raja Rammohaunpur, Siliguri, West Bengal 734013, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundToll-like receptors are the mediators of the innate immune response to pathogens. In human, this gene family regulates the inflammatory pathways and is associated with the susceptibility to infection. SUBJECTS AND

methodsThe distribution and the diversity patterns of TLR genes in Rajbanshi population (

resultsIt has been observed that in Rajbanshi population, the frequency of TLR8 (0.894) is higher and the frequency of TLR2 (0.176) is very low. Dendrogram based analysis, as well as the PCA plot, documented the closeness of Rajbanshi and Gurkha population. However, Rabha is distantly related to Rajbanshi population though evidences suggest their emergence from the same East-Asian lineage. Genetic distances between Rajbanshi-Gurkha and Rajbanshi-Muslim are very much smaller than that of Rajbanshi-Rabha populations. INTERPRETATIONS &

conclusionsTherefore, it may be concluded that Rajbanshi, Gurkha and Muslims are very much mixed populations and have genetic closeness due to exposure to similar environmental conditions. On the other hand, the Rabhas strictly follow the endogamy and are restricted to a particular region and therefore maintain considerable distances with the other three populations. The data showed some interesting observations which deviate the contemporary thought in respect to the population genetics.

Indexed as

DendrogramGenetic distancePCAplotToll-like receptors

Identifiers

PMID30647621
PMCPMC6299856

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.