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Great expectations: using massively parallel sequencing to solve inherited disorders.

机译:寄予厚望:使用大规模并行测序来解决遗传性疾病。

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摘要

The mutation discovery process for monogenic disorders is undergoing an exciting revolution. Previously dependent on linkage mapping and carefully selected gene-candidate approaches, identifying disease-causing mutations was both time consuming and frustrating. The advent of the new and emerging massively parallel sequencing technologies is driving unbiased discovery of novel disease-causing mutations at an unprecedented rate. How long will it be before the process is fully automated and the job of molecular geneticist is changed forever? We comment on the mutation-discovery strategies compatible with this technology and demonstrate that while the modern gene jockey might need to trade in the horse for something a bit faster, the finish line for interpreting human genetic variation is still a long way ahead.
机译:单基因疾病的突变发现过程正在经历令人激动的革命。以前依赖于连锁图谱和精心选择的基因候选方法,识别引起疾病的突变既费时又令人沮丧。新出现的大规模并行测序技术的出现正以前所未有的速度推动着无偏见的新型致病突变的发现。该过程完全自动化并且分子遗传学家的工作将永远改变需要多长时间?我们评论了与该技术兼容的突变发现策略,并证明了尽管现代基因骑师可能需要以更快的价格换马,但解释人类遗传变异的终点线仍然遥遥领先。

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