Hepatitis C genotype and associated risks factors of patients at University Kebangsaan Malaysia Medical Centre

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Abstract

Objectives: Hepatitis C virus (HCV) genotyping is important for treatment and epidemiological purposes. The objective was to determine HCV genotype and their associations with certain risk factors at University Kebangsaan Malaysia Medical Centre (UKMMC). Methods: A total of 89 samples were collected from December 2009 to January 2011. Demographic data of patients were collected from medical record. Reverse Transcriptase Polymerase chain reaction (RT PCR) was performed and sixty-four samples yielded positive for HCV. Sequencing was performed and analyzed based on sequence information in GenBank. Statistical analysis were done using SPSS version 15. Results: HCV genotype 3 (73%) was the most frequent genotype, followed by genotype 1(27%). The distribution of HCV genotype/ subtype was as follows: 3a (64.8%), 1a (13.5%), 1 (10.8%), 3 (8.1%) and 1b (2.7%). Conclusions: HCV subtypes 3a, 1a, and 1b were identified in patients at UKMMC, Malaysia with subtype 3a being the most prevalent. No significant association was found between HCV genotypes and patients' demographic data.

Original languageEnglish
JournalPakistan Journal of Medical Sciences
Volume29
Issue number5
Publication statusPublished - 2013

Fingerprint

Malaysia
Hepatitis C
Hepacivirus
Genotype
Demography
Nucleic Acid Databases
Reverse Transcriptase Polymerase Chain Reaction
Medical Records

Keywords

  • HCV genotype
  • HCV subtype
  • Phylogenetic analysis
  • Risk factors
  • RT-PCR

ASJC Scopus subject areas

  • Medicine(all)

Cite this

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title = "Hepatitis C genotype and associated risks factors of patients at University Kebangsaan Malaysia Medical Centre",
abstract = "Objectives: Hepatitis C virus (HCV) genotyping is important for treatment and epidemiological purposes. The objective was to determine HCV genotype and their associations with certain risk factors at University Kebangsaan Malaysia Medical Centre (UKMMC). Methods: A total of 89 samples were collected from December 2009 to January 2011. Demographic data of patients were collected from medical record. Reverse Transcriptase Polymerase chain reaction (RT PCR) was performed and sixty-four samples yielded positive for HCV. Sequencing was performed and analyzed based on sequence information in GenBank. Statistical analysis were done using SPSS version 15. Results: HCV genotype 3 (73{\%}) was the most frequent genotype, followed by genotype 1(27{\%}). The distribution of HCV genotype/ subtype was as follows: 3a (64.8{\%}), 1a (13.5{\%}), 1 (10.8{\%}), 3 (8.1{\%}) and 1b (2.7{\%}). Conclusions: HCV subtypes 3a, 1a, and 1b were identified in patients at UKMMC, Malaysia with subtype 3a being the most prevalent. No significant association was found between HCV genotypes and patients' demographic data.",
keywords = "HCV genotype, HCV subtype, Phylogenetic analysis, Risk factors, RT-PCR",
author = "Mohamed, {N. A.} and {Zainol Rashid}, {Noor Zetti} and {Kon Ken}, Wong and Abdullah, {S. A.} and Rahman, {Md. Mostafizur}",
year = "2013",
language = "English",
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journal = "Pakistan Journal of Medical Sciences",
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TY - JOUR

T1 - Hepatitis C genotype and associated risks factors of patients at University Kebangsaan Malaysia Medical Centre

AU - Mohamed, N. A.

AU - Zainol Rashid, Noor Zetti

AU - Kon Ken, Wong

AU - Abdullah, S. A.

AU - Rahman, Md. Mostafizur

PY - 2013

Y1 - 2013

N2 - Objectives: Hepatitis C virus (HCV) genotyping is important for treatment and epidemiological purposes. The objective was to determine HCV genotype and their associations with certain risk factors at University Kebangsaan Malaysia Medical Centre (UKMMC). Methods: A total of 89 samples were collected from December 2009 to January 2011. Demographic data of patients were collected from medical record. Reverse Transcriptase Polymerase chain reaction (RT PCR) was performed and sixty-four samples yielded positive for HCV. Sequencing was performed and analyzed based on sequence information in GenBank. Statistical analysis were done using SPSS version 15. Results: HCV genotype 3 (73%) was the most frequent genotype, followed by genotype 1(27%). The distribution of HCV genotype/ subtype was as follows: 3a (64.8%), 1a (13.5%), 1 (10.8%), 3 (8.1%) and 1b (2.7%). Conclusions: HCV subtypes 3a, 1a, and 1b were identified in patients at UKMMC, Malaysia with subtype 3a being the most prevalent. No significant association was found between HCV genotypes and patients' demographic data.

AB - Objectives: Hepatitis C virus (HCV) genotyping is important for treatment and epidemiological purposes. The objective was to determine HCV genotype and their associations with certain risk factors at University Kebangsaan Malaysia Medical Centre (UKMMC). Methods: A total of 89 samples were collected from December 2009 to January 2011. Demographic data of patients were collected from medical record. Reverse Transcriptase Polymerase chain reaction (RT PCR) was performed and sixty-four samples yielded positive for HCV. Sequencing was performed and analyzed based on sequence information in GenBank. Statistical analysis were done using SPSS version 15. Results: HCV genotype 3 (73%) was the most frequent genotype, followed by genotype 1(27%). The distribution of HCV genotype/ subtype was as follows: 3a (64.8%), 1a (13.5%), 1 (10.8%), 3 (8.1%) and 1b (2.7%). Conclusions: HCV subtypes 3a, 1a, and 1b were identified in patients at UKMMC, Malaysia with subtype 3a being the most prevalent. No significant association was found between HCV genotypes and patients' demographic data.

KW - HCV genotype

KW - HCV subtype

KW - Phylogenetic analysis

KW - Risk factors

KW - RT-PCR

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