Literature DB >> 17503327

Homozygosity haplotype allows a genomewide search for the autosomal segments shared among patients.

Hitoshi Miyazawa1, Masaaki Kato, Takuya Awata, Masakazu Kohda, Hiroyasu Iwasa, Nobuyuki Koyama, Tomoaki Tanaka, Shunei Kyo, Yasushi Okazaki, Koichi Hagiwara.   

Abstract

A promising strategy for identifying disease susceptibility genes for both single- and multiple-gene diseases is to search patients' autosomes for shared chromosomal segments derived from a common ancestor. Such segments are characterized by the distinct identity of their haplotype. The methods and algorithms currently available have only a limited capability for determining a high-resolution haplotype genomewide. We herein introduce the homozygosity haplotype (HH), a haplotype described by the homozygous SNPs that are easily obtained from high-density SNP genotyping data. The HH represents haplotypes of both copies of homologous autosomes, allowing for direct comparisons of the autosomes among multiple patients and enabling the identification of the shared segments. The HH successfully detected the shared segments from members of a large family with Marfan syndrome, which is an autosomal dominant, single-gene disease. It also detected the shared segments from patients with model multigene diseases originating with common ancestors who lived 10-25 generations ago. The HH is therefore considered to be useful for the identification of disease susceptibility genes in both single- and multiple-gene diseases.

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Year:  2007        PMID: 17503327      PMCID: PMC1867097          DOI: 10.1086/518176

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  15 in total

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Review 3.  Mapping complex disease loci in whole-genome association studies.

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4.  The probabilistic determination of identity-by-descent sharing for pairs of relatives from pedigrees.

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Journal:  Am J Hum Genet       Date:  1990-11       Impact factor: 11.025

5.  The value of molecular haplotypes in a family-based linkage study.

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  30 in total

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Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

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