Literature DB >> 1634106

Adequacy of single-locus approximations for linkage analyses of oligogenic traits.

V J Vieland1, S E Hodge, D A Greenberg.   

Abstract

When a disease is controlled by two or more mendelian loci acting epistatically, it can be modeled in a linkage analysis as a single-locus mendelian disease with reduced penetrance. However, the reliability of such an approximation has not yet been demonstrated. This study evaluates the adequacy of such single-locus approximations, when the disease under investigation is determined by two loci, one of which is tightly linked to a genetic marker. A wide range of two-locus models were simulated, and analyzed under both the correct two-locus model and under a single-locus approximation to that model. In general, the single-locus approximations yielded lod scores very close to the correct ones, but estimates of theta tended to be upwardly biased. We conclude that a single-locus linkage analysis will, in general, provide an excellent approximation to a correct (two-locus) linkage analysis of epistatic two-locus diseases. This enables researchers to continue to use single-locus linkage analyses when two-locus disease transmission is a possibility, and it validates linkage findings already obtained under single-locus analysis, even if the disease under investigation proves ultimately to be governed by two mendelian loci. We also examine alternative methods for obtaining parameter estimates for the single-locus approximations, and we discuss both generalizations and limitations of our findings.

Mesh:

Year:  1992        PMID: 1634106     DOI: 10.1002/gepi.1370090106

Source DB:  PubMed          Journal:  Genet Epidemiol        ISSN: 0741-0395            Impact factor:   2.135


  37 in total

1.  Direct power comparisons between simple LOD scores and NPL scores for linkage analysis in complex diseases.

Authors:  P C Abreu; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

2.  Replication of linkage studies of complex traits: an examination of variation in location estimates.

Authors:  S B Roberts; C J MacLean; M C Neale; L J Eaves; K S Kendler
Journal:  Am J Hum Genet       Date:  1999-09       Impact factor: 11.025

3.  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

Review 4.  Genetics of schizophrenia and the new millennium: progress and pitfalls.

Authors:  M Baron
Journal:  Am J Hum Genet       Date:  2001-01-17       Impact factor: 11.025

5.  All LODs are not created equal.

Authors:  D R Nyholt
Journal:  Am J Hum Genet       Date:  2000-07-06       Impact factor: 11.025

6.  Evidence for a susceptibility gene for autism on chromosome 2 and for genetic heterogeneity.

Authors:  J D Buxbaum; J M Silverman; C J Smith; M Kilifarski; J Reichert; E Hollander; B A Lawlor; M Fitzgerald; D A Greenberg; K L Davis
Journal:  Am J Hum Genet       Date:  2001-05-14       Impact factor: 11.025

7.  Inter- and intrafamilial heterogeneity: effective sampling strategies and comparison of analysis methods.

Authors:  M Durner; D A Greenberg; S E Hodge
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

8.  Computer simulation is an undervalued tool for genetic analysis: a historical view and presentation of SHIMSHON--a Web-based genetic simulation package.

Authors:  David A Greenberg
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

9.  A genomewide scan for age-related macular degeneration provides evidence for linkage to several chromosomal regions.

Authors:  Johanna M Seddon; Susan L Santangelo; Kathryn Book; Sandy Chong; Jennifer Cote
Journal:  Am J Hum Genet       Date:  2003-08-22       Impact factor: 11.025

10.  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

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