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在全基因组关联时代,通过研究大量感染 HIV-1 的患者,我们从宿主遗传学中学到了什么?

What did we learn on host's genetics by studying large cohorts of HIV-1-infected patients in the genome-wide association era?

机构信息

Laboratory of Immunity and Infection, INSERM UMR-S 945, UPMC Univ Paris 06, Groupe Hospitalier Pitié-Salpêtrière AP-HP, Paris, France.

出版信息

Curr Opin HIV AIDS. 2011 Jul;6(4):290-6. doi: 10.1097/COH.0b013e3283478449.

Abstract

PURPOSE OF REVIEW

Genome-wide association studies (GWASs) performed in large cohorts of HIV-1-infected patients have shown that high throughput genomics can add valuable information in understanding disease progression. We report recent information gathered in the international field during the last few years and revisit the importance of well documented cohorts for genotype-phenotype association studies.

RECENT FINDINGS

The majority of GWASs in the HIV-1 field found that viral loads and disease progression are under the control of variants located in the major histocompatibility complex (MHC) in untreated patients. Although these experiments brought a new and more objective vision of genotype-phenotype correlations in HIV-1 disease, they also pointed out that less than 15% of the observed phenotypic variability can be explained as common genetic variants. Most of the studies have included mainly white patients and the few studies performed in Africans are underpowered but suggest that MHC is probably not the only genetic determinant influencing disease progression in this population.

SUMMARY

Although the first results of the GWASs in HIV disease look as a confirmation of previous findings, high throughput agnostic genomics entered the field of chronic infectious diseases and will probably unveil new genotype-phenotype associations in the future. Networks between existing cohorts leading to 'virtual mega-cohorts' will be necessary to increase the probability to discover new genetic pathways important for HIV disease. Finally, predictive models including genetic information for clinical usage is another challenge in HIV disease genetics.

摘要

目的综述

在大量感染 HIV-1 的患者的大队列中进行的全基因组关联研究 (GWAS) 表明,高通量基因组学可以为理解疾病进展提供有价值的信息。我们报告了过去几年国际领域收集的最新信息,并重新审视了有充分记录的队列在基因型-表型关联研究中的重要性。

最新发现

HIV-1 领域的大多数 GWAS 发现,未经治疗的患者中位于主要组织相容性复合体 (MHC) 中的变体控制着病毒载量和疾病进展。尽管这些实验为 HIV-1 疾病的基因型-表型相关性提供了新的、更客观的视角,但它们也指出,观察到的表型可变性中不到 15%可以用常见的遗传变异来解释。大多数研究主要包括白人患者,在非洲进行的少数研究力度不足,但表明 MHC 可能不是影响该人群疾病进展的唯一遗传决定因素。

总结

尽管 HIV 疾病 GWAS 的最初结果看起来是对先前发现的证实,但高通量的无偏见基因组学已经进入慢性传染病领域,并且可能会在未来揭示新的基因型-表型关联。为了增加发现对 HIV 疾病重要的新遗传途径的可能性,需要建立现有队列之间的网络,形成“虚拟大型队列”。最后,包括遗传信息在内的预测模型用于临床应用是 HIV 疾病遗传学的另一个挑战。

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