Evidence map›Paper›PMID 35392495›Full record

ArticleDisease markers2022

Establishment of Rapid Detection Methods for rs76971248 Related to Leukemia.

Li-Yan Sun, Zhen Li, Song-Xing Wang, Hao Chen, Ze-Tao Sun, Long Peng, Liu-Mei He, Yun-Ping Xu

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2022. 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
0.3field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

8 authors at 1 institution in 1 country.

Li-Yan SunInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.ORCID https://orcid.org/0000-0003-0261-5300
Zhen Li *Institution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Song-Xing WangInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Hao ChenInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Ze-Tao SunInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Long PengInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Liu-Mei HeInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.
Yun-Ping XuInstitution of Transfusion Medicine, Shenzhen Blood Center, Shenzhen, Guangdong 518035, China.ORCID https://orcid.org/0000-0002-4546-2191
Shenzhen Blood Center · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The HLA-E gene is a member of the HLA-I gene family. Its genetic polymorphism is regarded as associated with numerous diseases. Establishing a rapid and accurate detection method of disease-related SNP sites in HLA-E is particularly important. Methods: Blood samples from 226 healthy blood donors and 228 leukemia patients were collected, and DNA was extracted. Three typing methods based on PCR-sequence-based typing, TaqMan genotyping, and high-resolution melting curve were established to identify rs76971248 (G>T). The Chi-square test was used for statistical analysis by SPSS. Results: Three methods based on PCR-SBT, TaqMan genotyping, and HRM were all able to identify rs76971248. The software for analyzing the results of HLA-E sequencing was easy to use, and the results were accurate. The frequency of rs76971248 in different types of leukemia patients was significantly lower than that in healthy blood donors ( Conclusions: For the screening of known SNP sites in large-scale populations, among the three methods, the TaqMan genotyping method had the advantage of shortest time consumption, simplest operation, and greatest specificity, which was the most appropriate method for this experiment. The analysis software for HLA-E gene sequencing needed to be further optimized. rs76971248 had a protective effect against leukemia. And the G/G genotype was a risk factor for leukemia.

Indexed as

Genotyping TechniquesLeukemiaDNAGenotypeHumansPolymorphism, GeneticDNA

Identifiers

PMID35392495
PMCPMC8983173
OpenAlexW4220846120

What OpenQuestion holds

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LicenceCC BY
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.