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Title: The discovery of human genetic variations and their use as disease markers: Past, present and future
Authors: Ku, C.S. 
Loy, E.Y.
Salim, A. 
Pawitan, Y.
Chia, K.S. 
Keywords: copy number variations
genome-wide association studies
human genetic variations
loss of heterozygosity
restriction fragment length polymorphisms
single nucleotide polymorphisms
tandem repeats
Issue Date: Jul-2010
Citation: Ku, C.S., Loy, E.Y., Salim, A., Pawitan, Y., Chia, K.S. (2010-07). The discovery of human genetic variations and their use as disease markers: Past, present and future. Journal of Human Genetics 55 (7) : 403-415. ScholarBank@NUS Repository.
Abstract: The field of human genetic variations has progressed rapidly over the past few years. It has added much information and deepened our knowledge and understanding of the diversity of genetic variations in the human genome. This significant progress has been driven mainly by the developments of microarray and next generation sequencing technologies. The array-based methods have been widely used for large-scale copy number variation (CNV) detection in the human genome. The arrival of next generation sequencing technologies, which enabled the completion of several whole genome resequencing studies, has also resulted in a massive discovery of genetic variations. These studies have identified several hundred thousand short indels and a total of thousands of CNVs and other structural variations in the human genome. The discovery of these newer types of genetic variations, indels, CNVs and copy neutral variations (inversions and translocations) has also widened the scope of genetic markers in human genetic and disease gene mapping studies. The aim of this review article is to summarize the latest developments in the discovery of human genetic variations and address the issue of inadequate coverage of genetic variations in the current genome-wide association studies, which mainly focuses on common SNPs. Finally, we also discuss the future directions in the field and their impacts on next generation genome-wide association studies. © 2010 The Japan Society of Human Genetics All rights reserved.
Source Title: Journal of Human Genetics
ISSN: 14345161
DOI: 10.1038/jhg.2010.55
Appears in Collections:Staff Publications

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