Evidence map›Paper›PMID 24834309›Full record

ArticleAvicenna journal of medical biotechnology2014

Development of a High-resolution Melting Analysis Method Based on SYBR Green-I for rs7216389 Locus Genotyping in Asthmatic Child Patients.

Zahra Vali, Abbasali Raz, Hanieh Bokharaei, Mohammad Nabavi, Mohammad Hassan Bemanian, Mina Sharifi Yazdi, Navid Dinparast Djadid

Open access · greenAbstract read
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Article in Avicenna journal of medical biotechnology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 28% of its field
1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 citing papers in PubMed, 6 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Zahra ValiMalaria and Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran ; Department of Pediatrics, Shahid Sadoughi Hospital, School of Medicine, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.
Abbasali RazMalaria and Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Hanieh BokharaeiMalaria and Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Mohammad NabaviDepartment Allergy and Immunology, Hazrate Rasoul Akram Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Hassan BemanianDepartment Allergy and Immunology, Hazrate Rasoul Akram Hospital, Tehran University of Medical Sciences, Tehran, Iran.
Mina Sharifi YazdiBoo-Ali Polyclinic of Social Security Organization, Kashan, Iran.
Navid Dinparast DjadidMalaria and Vector Research Group (MVRG), Biotechnology Research Center, Pasteur Institute of Iran, Tehran, Iran.
Pasteur Institute of Iran · IRBiotechnology Research Center · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAsthma is caused by the combination of different factors. Current concepts of asthma pathogenesis emphasize on gene-environment interactions. Mega-genome scanning projects revealed that different Single Nucleotide Polymorphisms (SNPs) are related to asthma susceptibility. rs7216389-T is one of them that is related to childhood asthma and its effect on childhood asthma severity has been proved in different nations, however no study has been performed in Eastern Mediterranean and Middle East countries yet.

methodsTo perform population genetic studies, a rapid and high-throughput screening method is necessary. High-resolution melting analysis is a rapid, powerful and accurate method, which is suitable for this type of studies. Therefore, it has been decided to develop a high-resolution melting method for rs7216389 locus genotyping in Iranian asthmatic children. In the current study, a high-resolution melting analysis method based on SYBR Green-I was developed to check the frequency of rs7216389-T mutation in Iranian asthmatic children for the first time.

resultsSecond and third classes of intercalating dyes are commonly used for high-resolution melting method. However, in this study, SYBR Green-I was used for rs7216389 locus genotyping for the first time. Our results for 60 samples showed that SYBR Green-I has good efficacy for rs7216389 locus genotyping through high-resolution melting method in comparison with PCR-RFLP and sequencing.

conclusionComparison of our results based on HRM analysis with PCR-RFLP showed that our developed method is rapid, accurate, high-throughput and economic to study the rs7216389 locus in asthmatic children and it is applicable for other similar population genetic studies.

Indexed as

AsthmaChildReal-time PCRSYBR Green-I

Identifiers

PMID24834309
PMCPMC4009098
OpenAlexW2145906024

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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.