Literature DB >> 12603053

An MDL method for finding haplotype blocks and for estimating the strength of haplotype block boundaries.

M Koivisto1, M Perola, T Varilo, W Hennah, J Ekelund, M Lukk, L Peltonen, E Ukkonen, H Mannila.   

Abstract

We describe a new method for finding haplotype blocks based on the use of the minimum description length principle. We give a rigorous definition of the quality of a segmentation of a genomic region into blocks, and describe a dynamic programming algorithm for finding the optimal segmentation with respect to this measure. We also describe a method for finding the probability of a block boundary for each pair of adjacent markers: this gives a tool for evaluating the significance of each block boundary. We have applied the method to the published data of Daly et al. The results are in relatively good agreement with the published results, but also show clear differences in the predicted block boundaries and their strengths. We also give results on the block structure in population isolates.

Mesh:

Substances:

Year:  2003        PMID: 12603053     DOI: 10.1142/9789812776303_0047

Source DB:  PubMed          Journal:  Pac Symp Biocomput        ISSN: 2335-6928


  12 in total

1.  Population-genetic basis of haplotype blocks in the 5q31 region.

Authors:  Eric C Anderson; Montgomery Slatkin
Journal:  Am J Hum Genet       Date:  2003-12-17       Impact factor: 11.025

2.  Finding haplotype block boundaries by using the minimum-description-length principle.

Authors:  Eric C Anderson; John Novembre
Journal:  Am J Hum Genet       Date:  2003-07-11       Impact factor: 11.025

3.  Haplotype block partitioning and tag SNP selection using genotype data and their applications to association studies.

Authors:  Kui Zhang; Zhaohui S Qin; Jun S Liu; Ting Chen; Michael S Waterman; Fengzhu Sun
Journal:  Genome Res       Date:  2004-04-12       Impact factor: 9.043

4.  A fast and flexible statistical model for large-scale population genotype data: applications to inferring missing genotypes and haplotypic phase.

Authors:  Paul Scheet; Matthew Stephens
Journal:  Am J Hum Genet       Date:  2006-02-17       Impact factor: 11.025

5.  Identifying haplotype block structure using an ancestor-derived model.

Authors:  Hironori Fujisawa; Minoru Isomura; Shinto Eguchi; Masaru Ushijima; Satoshi Miyata; Yoshio Miki; Masaaki Matsuura
Journal:  J Hum Genet       Date:  2007-07-18       Impact factor: 3.172

6.  Identity-by-descent-based phasing and imputation in founder populations using graphical models.

Authors:  Kimmo Palin; Harry Campbell; Alan F Wright; James F Wilson; Richard Durbin
Journal:  Genet Epidemiol       Date:  2011-10-17       Impact factor: 2.135

7.  A model-based approach to selection of tag SNPs.

Authors:  Pierre Nicolas; Fengzhu Sun; Lei M Li
Journal:  BMC Bioinformatics       Date:  2006-06-15       Impact factor: 3.169

8.  Efficient haplotype block partitioning and tag SNP selection algorithms under various constraints.

Authors:  Wen-Pei Chen; Che-Lun Hung; Yaw-Ling Lin
Journal:  Biomed Res Int       Date:  2013-11-11       Impact factor: 3.411

9.  DNA methylome profiling of human tissues identifies global and tissue-specific methylation patterns.

Authors:  Kaie Lokk; Vijayachitra Modhukur; Balaji Rajashekar; Kaspar Märtens; Reedik Mägi; Raivo Kolde; Marina Koltšina; Torbjörn K Nilsson; Jaak Vilo; Andres Salumets; Neeme Tõnisson
Journal:  Genome Biol       Date:  2014-04-01       Impact factor: 13.583

10.  seqlm: an MDL based method for identifying differentially methylated regions in high density methylation array data.

Authors:  Raivo Kolde; Kaspar Märtens; Kaie Lokk; Sven Laur; Jaak Vilo
Journal:  Bioinformatics       Date:  2016-05-13       Impact factor: 6.937

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