Abacavir is an effective nucleoside analog reverse transcriptase inhibitor used to treat human immunodeficiency virus(HIV) infected patients.Its main side effect is hypersensitivity reaction(HSR).The incidence of the ...Abacavir is an effective nucleoside analog reverse transcriptase inhibitor used to treat human immunodeficiency virus(HIV) infected patients.Its main side effect is hypersensitivity reaction(HSR).The incidence of the HSR is associated with ethnicity among patients exposed to abacavir,and retrospective and prospective studies show a significantly increased risk of abacavir-induced HSR in human leukocyte antigen(HLA)-B*57:01-carrying patients.Immunological studies indicated that abacavir interacts specifically with HLA-B*57:01 and changed the binding specificity between the HLA molecule and the HLA-presented endogenous peptide repertoire,leading to a systemic autoimmune reaction.HLA-B*57:01 screening,combined with patch testing,had clinically predictive value and cost-effective impact in reducing the incidence of abacavir-induced HSR regardless of the HLA-B*57:01 prevalence in the population.Therefore,the US Food and Drug Administration(FDA) and international HIV treatment guidelines recommend a routine HLA-B*57:01 screening prior to abacavir treatment to decrease false positive diagnosis and prevent abacavir-induced HSR.The studies of abacavir-induced HSR and the implementation of the HLA-B*57:01 screening in the clinic represent a successful example of the use of pharmacogenetics for personalized diagnosis and therapy.展开更多
Realizing personalized medicine requires integrating diverse data types with bioinformatics.The most vital data are genomic information for individuals that are from advanced next-generation sequencing(NGS) technologi...Realizing personalized medicine requires integrating diverse data types with bioinformatics.The most vital data are genomic information for individuals that are from advanced next-generation sequencing(NGS) technologies at present.The technologies continue to advance in terms of both decreasing cost and sequencing speed with concomitant increase in the amount and complexity of the data.The prodigious data together with the requisite computational pipelines for data analysis and interpretation are stressors to IT infrastructure and the scientists conducting the work alike.Bioinformatics is increasingly becoming the rate-limiting step with numerous challenges to be overcome for translating NGS data for personalized medicine.We review some key bioinformatics tasks,issues,and challenges in contexts of IT requirements,data quality,analysis tools and pipelines,and validation of biomarkers.展开更多
文摘Abacavir is an effective nucleoside analog reverse transcriptase inhibitor used to treat human immunodeficiency virus(HIV) infected patients.Its main side effect is hypersensitivity reaction(HSR).The incidence of the HSR is associated with ethnicity among patients exposed to abacavir,and retrospective and prospective studies show a significantly increased risk of abacavir-induced HSR in human leukocyte antigen(HLA)-B*57:01-carrying patients.Immunological studies indicated that abacavir interacts specifically with HLA-B*57:01 and changed the binding specificity between the HLA molecule and the HLA-presented endogenous peptide repertoire,leading to a systemic autoimmune reaction.HLA-B*57:01 screening,combined with patch testing,had clinically predictive value and cost-effective impact in reducing the incidence of abacavir-induced HSR regardless of the HLA-B*57:01 prevalence in the population.Therefore,the US Food and Drug Administration(FDA) and international HIV treatment guidelines recommend a routine HLA-B*57:01 screening prior to abacavir treatment to decrease false positive diagnosis and prevent abacavir-induced HSR.The studies of abacavir-induced HSR and the implementation of the HLA-B*57:01 screening in the clinic represent a successful example of the use of pharmacogenetics for personalized diagnosis and therapy.
文摘Realizing personalized medicine requires integrating diverse data types with bioinformatics.The most vital data are genomic information for individuals that are from advanced next-generation sequencing(NGS) technologies at present.The technologies continue to advance in terms of both decreasing cost and sequencing speed with concomitant increase in the amount and complexity of the data.The prodigious data together with the requisite computational pipelines for data analysis and interpretation are stressors to IT infrastructure and the scientists conducting the work alike.Bioinformatics is increasingly becoming the rate-limiting step with numerous challenges to be overcome for translating NGS data for personalized medicine.We review some key bioinformatics tasks,issues,and challenges in contexts of IT requirements,data quality,analysis tools and pipelines,and validation of biomarkers.
