A Haplotyping Algorithm for Non-recombinant Pedigree Data Containing Missing Members

The development of a computational method for infer- ring haplotypes from genotypes has received much atten- tion. This paper proposes an O(nm3 ) time algorithm for the haplotyping problem for non-recombination pedigree data containing missing members, where n is the number of members and m is the number of sites. This result improves on the best prior work by a factor of n2 while additionally handling missing member situations. This algorithm uses the Mendelian laws of inheritance to infer all recoverable haplotypes and missing members. This algorithm has also been tested on real and simulated data and the results show that it can recover most missing members as well as infer haplotypes for all members very quickly.

[1]  Razvan Andonie,et al.  Fuzzy ARTMAP with input relevances , 2006, IEEE Transactions on Neural Networks.

[2]  L. Helmuth Map of the Human Genome 3.0 , 2001, Science.

[3]  Dan Gusfield,et al.  An Overview of Combinatorial Methods for Haplotype Inference , 2002, Computational Methods for SNPs and Haplotype Inference.

[4]  Tao Jiang,et al.  An exact solution for finding minimum recombinant haplotype configurations on pedigrees with missing data by integer linear programming , 2004, RECOMB.

[5]  D. Fairlie,et al.  Beta-strand mimicking macrocyclic amino acids: templates for protease inhibitors with antiviral activity. , 2002, Journal of medicinal chemistry.

[6]  Richard M. Karp,et al.  Perfect phylogeny and haplotype assignment , 2004, RECOMB '04.

[7]  D. Qian,et al.  Minimum-recombinant haplotyping in pedigrees. , 2002, American journal of human genetics.

[8]  E. Lunney,et al.  Synthesis of 5,6-dihydro-4-hydroxy-2-pyrones as HIV-1 protease inhibitors: the profound effect of polarity on antiviral activity. , 1997, Journal of medicinal chemistry.

[9]  G. Zeikus,et al.  5,6-Dihydropyran-2-ones possessing various sulfonyl functionalities: potent nonpeptidic inhibitors of HIV protease. , 2000, Journal of medicinal chemistry.

[10]  Alexandre Arenas,et al.  Fuzzy ARTMAP and Back-Propagation Neural Networks Based Quantitative Structure-Property Relationships (QSPRs) for Octanol-Water Partition Coefficient of Organic Compounds , 2002, J. Chem. Inf. Comput. Sci..

[11]  Spyros Makridakis,et al.  Accuracy measures: theoretical and practical concerns☆ , 1993 .

[12]  L. Helmuth Genome research: map of the human genome 3.0. , 2001, Science.

[13]  Razvan Andonie,et al.  Neuro-fuzzy Prediction of Biological Activity and Rule Extraction for HIV-1 Protease Inhibitors , 2005, 2005 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology.

[14]  Hongyu Zhao,et al.  HAPLORE: a program for haplotype reconstruction in general pedigrees without recombination , 2005, Bioinform..

[15]  E. Schreiner,et al.  Inhibitors of HIV-1 proteinase containing 2-heterosubstituted 4-amino-3-hydroxy-5-phenylpentanoic acid: synthesis, enzyme inhibition, and antiviral activity. , 1994, Journal of medicinal chemistry.

[16]  Stephen Grossberg,et al.  Fuzzy ARTMAP: A neural network architecture for incremental supervised learning of analog multidimensional maps , 1992, IEEE Trans. Neural Networks.

[17]  S. Gabriel,et al.  The Structure of Haplotype Blocks in the Human Genome , 2002, Science.

[18]  Tao Jiang,et al.  Efficient rule-based haplotyping algorithms for pedigree data , 2003, RECOMB '03.

[19]  D. Fairlie,et al.  Protease inhibitors: current status and future prospects. , 2000, Journal of medicinal chemistry.

[20]  A Wlodawer,et al.  Inhibitors of HIV-1 protease: a major success of structure-assisted drug design. , 1998, Annual review of biophysics and biomolecular structure.