Literature DB >> 2301394

Linkage strategies for genetically complex traits. III. The effect of marker polymorphism on analysis of affected relative pairs.

N Risch1.   

Abstract

The results from the second paper of this series are reexamined for markers that are not completely polymorphic. A maximum lod score (MLS) criterion is defined for affected relative pairs. The expected MLS (EMLS) is calculated as a function of the marker polymorphic information content (PIC) for various values of lambda R (relative risk ratio) and different relative types by using simulations. An m-allele model with equal allele frequencies is employed. The EMLS is calculated for two sampling strategies: scheme 1, which uses pairs only, and scheme 2, which also includes additional informative relatives. For scheme 2, the percent of the maximum achievable EMLS (i.e., for a marker with a PIC of 1.0) is approximately equal to the marker PIC value for all relative types. For scheme 1, the EMLS is greatly diminished unless PIC is high, especially for distant relatives. For example, scheme 1 is not cost-effective for sibs unless PIC greater than .7; for second- and third-degree relatives, PIC must be greater than .85. Therefore, in general, it will be worthwhile to type additional relatives in linkage studies using affected pairs. The comparative value of sibs versus distant relatives depends on lambda R, recombination theta, and PIC. For large lambda R and PIC values, distant relatives are preferred. Alternatively, for smaller lambda R and PIC values, sibs are best.

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Mesh:

Year:  1990        PMID: 2301394      PMCID: PMC1684966     

Source DB:  PubMed          Journal:  Am J Hum Genet        ISSN: 0002-9297            Impact factor:   11.025


  7 in total

1.  Sequential tests for the detection of linkage.

Authors:  N E MORTON
Journal:  Am J Hum Genet       Date:  1955-09       Impact factor: 11.025

2.  Determining the mode of inheritance of RFLP-associated diseases using the affected sib-pair method.

Authors:  G Thomson
Journal:  Am J Hum Genet       Date:  1986-08       Impact factor: 11.025

3.  The affected-pedigree-member method of linkage analysis.

Authors:  D E Weeks; K Lange
Journal:  Am J Hum Genet       Date:  1988-02       Impact factor: 11.025

4.  The affected sib-pair method using identity by state relations.

Authors:  K Lange
Journal:  Am J Hum Genet       Date:  1986-07       Impact factor: 11.025

5.  A comparison of sib-pair linkage tests for disease susceptibility loci.

Authors:  W C Blackwelder; R C Elston
Journal:  Genet Epidemiol       Date:  1985       Impact factor: 2.135

Review 6.  Construction of a genetic linkage map in man using restriction fragment length polymorphisms.

Authors:  D Botstein; R L White; M Skolnick; R W Davis
Journal:  Am J Hum Genet       Date:  1980-05       Impact factor: 11.025

7.  Genetics of IDDM: evidence for complex inheritance with HLA.

Authors:  N Risch
Journal:  Genet Epidemiol       Date:  1989       Impact factor: 2.135

  7 in total
  88 in total

1.  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

2.  A paradigm for finding genes for a complex human trait: polycystic ovary syndrome and follistatin.

Authors:  K Odunsi; K K Kidd
Journal:  Proc Natl Acad Sci U S A       Date:  1999-07-20       Impact factor: 11.205

3.  Multilocus linkage tests based on affected relative pairs.

Authors:  H J Cordell; G C Wedig; K B Jacobs; R C Elston
Journal:  Am J Hum Genet       Date:  2000-03-21       Impact factor: 11.025

4.  A multipoint method for detecting genotyping errors and mutations in sibling-pair linkage data.

Authors:  J A Douglas; M Boehnke; K Lange
Journal:  Am J Hum Genet       Date:  2000-03-28       Impact factor: 11.025

5.  The relationship between the sibling recurrence-risk ratio and genotype relative risk.

Authors:  B A Rybicki; R C Elston
Journal:  Am J Hum Genet       Date:  2000-02       Impact factor: 11.025

6.  All LODs are not created equal.

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

7.  Statistics for nonparametric linkage analysis of X-linked traits in general pedigrees.

Authors:  Kyunghee K Song; Eleanor Feingold; Daniel E Weeks
Journal:  Am J Hum Genet       Date:  2001-11-21       Impact factor: 11.025

8.  HLODs remain powerful tools for detection of linkage in the presence of genetic heterogeneity.

Authors:  Susan E Hodge; Veronica J Vieland; David A Greenberg
Journal:  Am J Hum Genet       Date:  2002-02       Impact factor: 11.025

9.  Multiplex relative risk and estimation of the number of loci underlying an inherited disease.

Authors:  Paul Schliekelman; Montgomery Slatkin
Journal:  Am J Hum Genet       Date:  2002-11-21       Impact factor: 11.025

10.  Bias toward the null hypothesis in model-free linkage analysis is highly dependent on the test statistic used.

Authors:  Heather J Cordell
Journal:  Am J Hum Genet       Date:  2004-04-29       Impact factor: 11.025

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