Genomewide association study for determinants of HIV-1 acquisition and viral set point in HIV-1 serodiscordant couples with quantified virus exposure.

Genomewide association study for determinants of HIV-1 acquisition and viral set point in HIV-1 serodiscordant couples with quantified virus exposure.
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DOI:
10.1371/journal.pone.0028632
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发表时间:
2011
期刊:
影响因子:
3.7
通讯作者:
Partners in Prevention HSV/HIV Transmission Study Team
Partners in Prevention HSV/HIV Transmission Study Team
中科院分区:
综合性期刊3区
文献类型:
--
作者:
Lingappa JR;Petrovski S;Kahle E;Fellay J;Shianna K;McElrath MJ;Thomas KK;Baeten JM;Celum C;Wald A;de Bruyn G;Mullins JI;Nakku-Joloba E;Farquhar C;Essex M;Donnell D;Kiarie J;Haynes B;Goldstein D;Partners in Prevention HSV/HIV Transmission Study Team

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宿主遗传因素可能是HIV-1性获得的重要决定因素。我们进行了一项全基因组关联研究(GWAS),在非洲HIV-1血清不一致的异性恋夫妇队列的背景下,修改HIV-1获得和病毒控制的宿主遗传变异。为了尽量减少对HIV-1风险的错误分类,我们使用包括血浆HIV-1浓度、性别和避孕套使用在内的数据对HIV-1暴露进行了量化。我们通过量化的HIV-1暴露风险将没有HIV-1血清转换的夫妇与血清转换的夫妇配对。对来自496名HIV-1感染者和302名HIV-1暴露未感染者的798份样本进行单核苷酸多态性(SNPs)的Logistic回归,以确定与HIV-1获得相关的因素。此外,使用来自HIV-1感染个体的子集(n=403)的SNP数据进行线性回归分析,以鉴定预测血浆HIV-1浓度的因素。 校正多重比较后,没有SNPs与HIV-1感染状态或血浆HIV-1浓度显著相关。控制HIV-1暴露的GWAS没有识别出影响HIV-1获得的常见宿主基因型。替代策略,如大规模测序,以确定低频率的变化,应考虑确定新的宿主遗传预测HIV-1的收购。
Host genetic factors may be important determinants of HIV-1 sexual acquisition. We performed a genome-wide association study (GWAS) for host genetic variants modifying HIV-1 acquisition and viral control in the context of a cohort of African HIV-1 serodiscordant heterosexual couples. To minimize misclassification of HIV-1 risk, we quantified HIV-1 exposure, using data including plasma HIV-1 concentrations, gender, and condom use. We matched couples without HIV-1 seroconversion to those with seroconversion by quantified HIV-1 exposure risk. Logistic regression of single nucleotide polymorphisms (SNPs) for 798 samples from 496 HIV-1 infected and 302 HIV-1 exposed, uninfected individuals was performed to identify factors associated with HIV-1 acquisition. In addition, a linear regression analysis was performed using SNP data from a subset (n = 403) of HIV-1 infected individuals to identify factors predicting plasma HIV-1 concentrations. After correcting for multiple comparisons, no SNPs were significantly associated with HIV-1 infection status or plasma HIV-1 concentrations. This GWAS controlling for HIV-1 exposure did not identify common host genotypes influencing HIV-1 acquisition. Alternative strategies, such as large-scale sequencing to identify low frequency variation, should be considered for identifying novel host genetic predictors of HIV-1 acquisition.
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