HaploShare: identification of extended haplotypes shared by cases and evaluation against controls |
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| Authors: | Dingge Ying Pak Chung Sham David Keith Smith Lu Zhang Yu Lung Lau Wanling Yang |
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| Affiliation: | Department of Paediatrics and Adolescent Medicine, LKS Faculty of Medicine, The University of Hong Kong, 21 Sassoon Rd., Pokfulam, Hong Kong ;Department of Psychiatry, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong ;Centre for Genomic Sciences, LKS Faculty of Medicine, The University of Hong Kong, Pokfulam, Hong Kong ;State Key Laboratory for Emerging Infectious Diseases, The University of Hong Kong, Pokfulam, Hong Kong |
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| Abstract: | Recent founder mutations may play important roles in complex diseases and Mendelian disorders. Detecting shared haplotypes that are identical by descent (IBD) could facilitate discovery of these mutations. Several programs address this, but are usually limited to detecting pair-wise shared haplotypes and not providing a comparison of cases and controls. We present a novel algorithm and software package, HaploShare, which detects extended haplotypes that are shared by multiple individuals, and allows comparisons between cases and controls. Testing on simulated and real cases demonstrated significant improvements in detection power and reduction of false positive rate by HaploShare relative to other programs.Electronic supplementary materialThe online version of this article (doi:10.1186/s13059-015-0662-9) contains supplementary material, which is available to authorized users. |
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