Evidence map›Paper›PMID 21556858›Full record

ArticleImmunogenetics2011

Diversity of killer cell immunoglobulin-like receptor genes in four ethnic groups in China.

Yufeng Yao, Lei Shi, Yufen Tao, Keqin Lin, Shuyuan Liu, Liang Yu, Zhaoqing Yang, Wen Yi, Xiaoqin Huang, Hao Sun and 2 more

Abstract read
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In one paragraph

Article in Immunogenetics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.2field-weighted citation impact, top 43% 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

7 citing papers in PubMed, 17 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Yufeng YaoInstitute of Medical Biology, Chinese Academy of Medical Sciences & Peking Union Medical College, Kunming, China.
Lei Shi
Yufen Tao
Keqin Lin
Shuyuan Liu
Liang Yu
Zhaoqing Yang
Wen Yi
Xiaoqin Huang
Hao Sun
Jiayou Chu
Li Shi
Chinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Killer cell immunoglobulin-like receptors (KIRs) show extensive variation in terms of gene content and allelic polymorphisms among different populations. The aim of this study was to analyze the distribution of KIR genes in the Bulang, Nu, Yugu, and Zhuang ethnic groups, which belong to four different language families in China, and thus to provide basic KIR gene and genotype data for these Chinese ethnic groups. Genotyping of 16 KIR genes was performed in 425 unrelated individuals using the polymerase chain reaction-sequence-specific oligonucleotide probe method with the Luminex MultiAnalyte Profiling System. The four framework KIR genes were detected in all four ethnic groups. The activating KIR genes as well as the inhibitory KIR genes showed extreme diversity among these four populations. A total of 35 distinct KIR genotypes were identified, one of which was previously unknown. The four most common genotypes were identified in all four populations and comprised 66.1~91.1% of all the genotypes. The group A haplotype occurred more frequently than the group B haplotype in the Nu, Yugu, and Zhuang populations, as in other East Asian populations. In contrast, the group A and group B haplotypes occurred equally in the Bulang population. The results of the present study suggested that the KIR genes and genotypes are diverse in these four ethnic groups, and each ethnic group has its own characteristic KIR distribution. The findings with respect to KIR gene diversity in these four populations should provide relevant genomic diversity data for the future study of viral infections, autoimmune diseases, and reproductive fitness.

Indexed as

ChinaGenetic LociGenetics, PopulationGenotypeHaplotypesHumansReceptors, KIRReceptors, KIR

Identifiers

PMID21556858
OpenAlexW2075919361

What OpenQuestion holds

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Registered trials

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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.