Literature DB >> 1503394

Strategies based on marker information for the study of human diseases.

F Clerget-Darpoux1, C Bonaïti-Pellié.   

Abstract

The goals and the ways of using genetic marker information when studying human disease are very different according to whether the disease or sub-entity of the disease is mendelian or if a 'disease gene' in the sense of a rare mutated allele does not exist but rather common genetic risk factors, each one normal if considered alone. In the former case, genetic markers are used in the aim of localizing the defective gene and a systematic screening of the genome seems to be an efficient strategy provided there is not too much ambiguity in the correspondence between phenotypes and genotypes. In the latter case, the goal is to find risk factors allowing us to predict better the risk for an individual and to define different risk groups resulting in greater power to show the potential role of other factors (genetic or environmental). In this situation, the use of the lod score method with random markers presents several disadvantages: first, the multiple testing problem is particularly crucial; second, false rejection of linkage may be induced by misspecification of the model describing the genetic basis of the disease; and last, the power of detecting linkage may be low. A strategy focusing on 'candidate gene' markers may be then more efficient.

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Year:  1992        PMID: 1503394     DOI: 10.1111/j.1469-1809.1992.tb01140.x

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


  15 in total

1.  Parametric and nonparametric multipoint linkage analysis with imprinting and two-locus-trait models: application to mite sensitization.

Authors:  K Strauch; R Fimmers; T Kurz; K A Deichmann; T F Wienker; M P Baur
Journal:  Am J Hum Genet       Date:  2000-05-04       Impact factor: 11.025

2.  Affecteds-only linkage methods are not a panacea.

Authors:  D A Greenberg; S E Hodge; V J Vieland; M A Spence
Journal:  Am J Hum Genet       Date:  1996-04       Impact factor: 11.025

Review 3.  Two-dimensional DNA typing: A cost-effective way of analyzing complex mixtures of DNA fragments for sequence variations.

Authors:  J Vijg
Journal:  Mol Biotechnol       Date:  1995-12       Impact factor: 2.695

4.  The problem of ascertainment for linkage analysis.

Authors:  V J Vieland; S E Hodge
Journal:  Am J Hum Genet       Date:  1996-05       Impact factor: 11.025

Review 5.  Gene environment interaction.

Authors:  H Campbell
Journal:  J Epidemiol Community Health       Date:  1996-08       Impact factor: 3.710

6.  Magnitude of type I error when single-locus linkage analysis is maximized over models: a simulation study.

Authors:  S E Hodge; P C Abreu; D A Greenberg
Journal:  Am J Hum Genet       Date:  1997-01       Impact factor: 11.025

Review 7.  The genetics of non-insulin-dependent diabetes mellitus: tools and aims.

Authors:  M I McCarthy; P Froguel; G A Hitman
Journal:  Diabetologia       Date:  1994-10       Impact factor: 10.122

Review 8.  Prospects for the genetics of human longevity.

Authors:  F Schächter; D Cohen; T Kirkwood
Journal:  Hum Genet       Date:  1993-07       Impact factor: 4.132

9.  Joint linkage of multiple loci for a complex disorder.

Authors:  C J MacLean; P C Sham; K S Kendler
Journal:  Am J Hum Genet       Date:  1993-08       Impact factor: 11.025

10.  Family studies of non-insulin-dependent diabetes mellitus in South Indians.

Authors:  M I McCarthy; G A Hitman; D C Shields; N E Morton; C Snehalatha; V Mohan; A Ramachandran; M Viswanathan
Journal:  Diabetologia       Date:  1994-12       Impact factor: 10.122

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