利用全基因组信息预测疾病:打破复杂疾病和孟德尔疾病之间的障碍。

IF 7.7 2区 生物学 Q1 GENETICS & HEREDITY Annual review of genomics and human genetics Pub Date : 2018-08-31 Epub Date: 2018-04-11 DOI:10.1146/annurev-genom-083117-021136
Daniel M Jordan, Ron Do
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引用次数: 12

摘要

虽然基于序列的基因检测长期以来一直可用于特定位点,特别是孟德尔病,但全基因组基因分型阵列、全外显子组测序和全基因组测序的成本迅速下降,正将我们推向一个完整基因组信息可能为各种疾病(包括复杂疾病)的预后和治疗提供信息的未来。同样,拥有完整基因组信息的大量人群的可用性使人们能够对复杂疾病的病因学和遗传结构有新的认识。来自最新一代基因组研究的见解表明,我们将疾病分类为复杂疾病可能隐藏了广泛的遗传结构和因果机制,范围从复杂疾病的孟德尔形式到孟德尔疾病潜在的复杂调节结构。在这里,我们回顾了这些见解,以及从全基因组信息预测疾病风险和结果的进展。
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Using Full Genomic Information to Predict Disease: Breaking Down the Barriers Between Complex and Mendelian Diseases.

While sequence-based genetic tests have long been available for specific loci, especially for Mendelian disease, the rapidly falling costs of genome-wide genotyping arrays, whole-exome sequencing, and whole-genome sequencing are moving us toward a future where full genomic information might inform the prognosis and treatment of a variety of diseases, including complex disease. Similarly, the availability of large populations with full genomic information has enabled new insights about the etiology and genetic architecture of complex disease. Insights from the latest generation of genomic studies suggest that our categorization of diseases as complex may conceal a wide spectrum of genetic architectures and causal mechanisms that ranges from Mendelian forms of complex disease to complex regulatory structures underlying Mendelian disease. Here, we review these insights, along with advances in the prediction of disease risk and outcomes from full genomic information.

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来源期刊
CiteScore
14.90
自引率
1.10%
发文量
29
期刊介绍: Since its inception in 2000, the Annual Review of Genomics and Human Genetics has been dedicated to showcasing significant developments in genomics as they pertain to human genetics and the human genome. The journal emphasizes genomic technology, genome structure and function, genetic modification, human variation and population genetics, human evolution, and various aspects of human genetic diseases, including individualized medicine.
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