Literature DB >> 9465290

Genomic mismatch scanning identifies human genomic DNA shared identical by descent.

V G Cheung1, S F Nelson.   

Abstract

Genomic mismatch scanning (GMS) is a high-throughput, high-resolution identity by descent mapping technique that enriches for genomic DNA fragments that are shared between related individuals. In GMS, DNA heteroduplexes are formed from restriction-digested genomic DNA fragments from two relatives. Mismatch-free DNA heteroduplexes, likely representing DNA shared identical by descent between the two individuals, are relatively purified by depleting the mismatch-containing heteroduplexes using the Escherichia coli mismatch repair proteins and exonuclease. Here, we demonstrate using quantitative microsatellite genotyping that, despite the complexity of the human genome, GMS can enrich the majority of restriction fragments that are identical by descent between two related humans. As the entire genome is selected in GMS, an extraordinarily dense set of markers (up to 200,000 markers) may be screened in parallel. The demonstration of the molecular enrichment of identical DNA fragments in the context of the whole human genome establishes conditions for the application of GMS to human genetics. This forms a frame-work for the further development of GMS as a hybridization-based mapping technique that utilizes DNA microarray technology to map the selected identical by descent DNA fragments.

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Year:  1998        PMID: 9465290     DOI: 10.1006/geno.1997.5082

Source DB:  PubMed          Journal:  Genomics        ISSN: 0888-7543            Impact factor:   5.736


  11 in total

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4.  On the identification of disease mutations by the analysis of haplotype similarity and goodness of fit.

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Review 6.  Population genetic inference from genomic sequence variation.

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7.  Estimation of pairwise identity by descent from dense genetic marker data in a population sample of haplotypes.

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8.  2017 Presidential Address: Checking, Balancing, and Celebrating Diversity: Celebrating Some of the Women Who Paved the Way.

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9.  Power comparisons between similarity-based multilocus association methods, logistic regression, and score tests for haplotypes.

Authors:  Wan-Yu Lin; Daniel J Schaid
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Review 10.  The genetics of essential hypertension.

Authors:  K M O'Shaughnessy
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