Advances of Multiplex Ligation-dependent Probe Amplification Technology in Molecular Diagnostics
Xiaoni Fu, Yinmin Shi, Ji-Ying Ma, Kaiqian Zhang, Guowei Wang, Gang Li, Xiao Lei, Huijuan Wang
Abstract
Xiaoni Fu, Yinmin Shi, Ji-Ying Ma, Kaiqian Zhang, Guowei Wang, Gang Li, Xiao Lei, Huijuan Wang
Abstract
Multiplex ligation-dependent probe amplification (MLPA) is a multiplex copy number analysis tool which is routinely used to detect large mutations in genetic diseases. With continuous modifications, MLPA has been extended for the detection of DNA methylation variation, single nucleotide polymorphisms, chromosome abnormalities and other forms of genomic variation. The combination with other techniques has even enlarged the application of MLPA in molecular diagnostics of various human diseases. In this review, the principle of MLPA-based techniques as well as their main and latest applications in clinical detection are described. It is believed that with improved automation, increased multiplexing, lower cost and the combination with other technologies, MLPA will play an increasingly important role in molecular diagnosis of human disease.
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Multiplex ligation-dependent probe amplification (MLPA) is a multiplex copy number analysis tool which is routinely used to detect large mutations in genetic diseases. With continuous modifications, MLPA has been extended for the detection of DNA methylation variation, single nucleotide polymorphisms, chromosome abnormalities and other forms of genomic variation. The combination with other techniques has even enlarged the application of MLPA in molecular diagnostics of various human diseases. In this review, the principle of MLPA-based techniques as well as their main and latest applications in clinical detection are described. It is believed that with improved automation, increased multiplexing, lower cost and the combination with other technologies, MLPA will play an increasingly important role in molecular diagnosis of human disease.
Key concepts: Multiplex ligation-dependent probe amplification, Multiplex, Computational biology, Molecular diagnostics, Biology, Genetics, Copy-number variation, Genome