Literature DB >> 10735585

Significance testing for direct identity-by-descent mapping.

G R Grant1, E Manduchi, V G Cheung, W J Ewens.   

Abstract

Direct identity-by-descent mapping is a technique for narrowing down the location of the gene or genes responsible for a given genetic disease to small segments of the genome. The technique involves DNA comparisons between pairs of affected individuals. The data generated are in the form of matching segments of the genome, representing regions likely to be identical-by-descent (IBD). Regions in the genome over which there are significantly more segments aligned than is expected by chance are taken as candidate regions for the disease gene or genes. Due to the complex geometric nature of the data, significance testing involves certain mathematical difficulties. We present here a new method for measuring this significance. This method introduces a novel statistic and is appropriate whether or not the relationships between the paired individuals are known. We give examples that we have calculated by implementing this method, including an application to real data.

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Year:  1999        PMID: 10735585     DOI: 10.1046/j.1469-1809.1999.6350441.x

Source DB:  PubMed          Journal:  Ann Hum Genet        ISSN: 0003-4800            Impact factor:   1.670


  7 in total

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

Authors:  Jung-Ying Tzeng; B Devlin; Larry Wasserman; Kathryn Roeder
Journal:  Am J Hum Genet       Date:  2003-02-27       Impact factor: 11.025

2.  Detecting disease gene in DNA haplotype sequences by nonparametric dissimilarity test.

Authors:  Ao Yuan; Qingqi Yue; Victor Apprey; George Bonney
Journal:  Hum Genet       Date:  2006-06-29       Impact factor: 4.132

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

Authors:  Sharon R Browning
Journal:  Genetics       Date:  2008-04       Impact factor: 4.562

4.  STAC: A method for testing the significance of DNA copy number aberrations across multiple array-CGH experiments.

Authors:  Sharon J Diskin; Thomas Eck; Joel Greshock; Yael P Mosse; Tara Naylor; Christian J Stoeckert; Barbara L Weber; John M Maris; Gregory R Grant
Journal:  Genome Res       Date:  2006-08-09       Impact factor: 9.043

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

Authors:  Wan-Yu Lin; Daniel J Schaid
Journal:  Genet Epidemiol       Date:  2009-04       Impact factor: 2.135

6.  Genome-wide scan identifies a copy number variable region at 3p21.1 that influences the TLR9 expression levels in IgA nephropathy patients.

Authors:  Fabio Sallustio; Sharon N Cox; Grazia Serino; Claudia Curci; Francesco Pesce; Giuseppe De Palma; Aikaterini Papagianni; Dimitrios Kirmizis; Mario Falchi; Francesco P Schena
Journal:  Eur J Hum Genet       Date:  2014-10-08       Impact factor: 4.246

7.  Assessing the significance of conserved genomic aberrations using high resolution genomic microarrays.

Authors:  Mitchell Guttman; Carolyn Mies; Katarzyna Dudycz-Sulicz; Sharon J Diskin; Don A Baldwin; Christian J Stoeckert; Gregory R Grant
Journal:  PLoS Genet       Date:  2007-08       Impact factor: 5.917

  7 in total

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