Literature DB >> 18843111

Individual disease risk and multimetric analysis of Crohn disease.

Jane Gibson1, Andrew Collins, Newton Morton.   

Abstract

Rare dominant genes with high penetrance can be identified by linkage without inbreeding, whereas rare recessive genes with high penetrance are most efficiently recognized by autozygosity mapping of homozygotes in pedigrees with preferential inbreeding. On the contrary, complex inheritance is characterized by common genes with low penetrance, for which family studies and inbreeding are inefficient. Here, we develop the Fisherian theory for diallelic cases and controls, show that it compares favorably with Bayesian estimates, and evaluate their currently low power for discriminating cases and controls in Crohn disease (CD). Significance is enhanced by inclusion of composite likelihood, but identification of causal loci is delayed by low recognition of gene function. Clearly, association mapping is not yet optimal, and so strenuous effort is justified to develop a more inclusive gene map and association tests more powerful than single markers and the current use of composite likelihood. Because of its relatively high heritability and the correspondingly large number of detected causal loci, CD presents an ideal test system to determine the power and flaws of competing methods of whole-genome case/control association analysis in publicly available data. Until such a test is exploited by competing statisticians, their Herculean efforts will be inconclusive, and the costly advances from increased sample size will be suboptimal and disappointing.

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Year:  2008        PMID: 18843111      PMCID: PMC2564981          DOI: 10.1073/pnas.0808009105

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  15 in total

Review 1.  New genes in inflammatory bowel disease: lessons for complex diseases?

Authors:  Daniel R Gaya; Richard K Russell; Elaine R Nimmo; Jack Satsangi
Journal:  Lancet       Date:  2006-04-15       Impact factor: 79.321

2.  The detection and estimation of linkage between the genes for elliptocytosis and the Rh blood type.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1956-06       Impact factor: 11.025

3.  The estimation and significance of the logarithm of a ratio of frequencies.

Authors:  J B HALDANE
Journal:  Ann Hum Genet       Date:  1956-05       Impact factor: 1.670

4.  Genome scanning by composite likelihood.

Authors:  Newton Morton; Nikolas Maniatis; Weihua Zhang; Sarah Ennis; Andrew Collins
Journal:  Am J Hum Genet       Date:  2006-12-05       Impact factor: 11.025

5.  Association of VKORC1 and CYP2C9 polymorphisms with warfarin dose requirements in Japanese patients.

Authors:  Taisei Mushiroda; Yozo Ohnishi; Susumu Saito; Atsushi Takahashi; Yuka Kikuchi; Shigeru Saito; Hideki Shimomura; Yasuhiko Wanibuchi; Takao Suzuki; Naoyuki Kamatani; Yusuke Nakamura
Journal:  J Hum Genet       Date:  2006-01-24       Impact factor: 3.172

6.  Effects of single SNPs, haplotypes, and whole-genome LD maps on accuracy of association mapping.

Authors:  Nikolas Maniatis; Andrew Collins; Newton E Morton
Journal:  Genet Epidemiol       Date:  2007-04       Impact factor: 2.135

7.  The power of independent types of genetic information to detect association in a case-control study design.

Authors:  Sungho Won; Robert C Elston
Journal:  Genet Epidemiol       Date:  2008-12       Impact factor: 2.135

8.  Trials of the beta model for complex inheritance.

Authors:  A Collins; C J MacLean; N E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-08-20       Impact factor: 11.205

9.  Logarithm of odds (lods) for linkage in complex inheritance.

Authors:  N E Morton
Journal:  Proc Natl Acad Sci U S A       Date:  1996-04-16       Impact factor: 11.205

10.  Frequency in relatives for an all-or-none trait.

Authors:  J W James
Journal:  Ann Hum Genet       Date:  1971-07       Impact factor: 1.670

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