Literature DB >> 2929597

Estimating the power of a proposed linkage study for a complex genetic trait.

L M Ploughman1, M Boehnke.   

Abstract

Many genetic traits have complex modes of inheritance; they may exhibit incomplete or age-dependent penetrance or fail to show any clear Mendelian inheritance pattern. As primary linkage maps for the human genome near completion, it is becoming increasingly possible to map these traits. Prior to undertaking a linkage study, it is important to consider whether the pedigrees available for the proposed study are likely to provide sufficient information to demonstrate linkage, assuming a linked marker is tested. In the current paper, we describe a computer simulation method to estimate the power of a proposed study to detect linkage for a complex genetic trait, given a hypothesized genetic model for the trait. Our method simulates trait locus genotypes consistent with observed trait phenotypes, in such a way that the probability to detect linkage can be estimated by sample statistics of the maximum lod score distribution. The method uses terms available when calculating the likelihood of the trait phenotypes for the pedigree and is applicable to any trait determined by one or a few genetic loci; individual-specific environmental effects can also be dealt with. Our method provides an objective answer to the question, Will these pedigrees provide sufficient information to map this complex genetic trait?

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Year:  1989        PMID: 2929597      PMCID: PMC1715589     

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


  16 in total

1.  TESTING FOR HETEROGENEITY OF RECOMBINATION FRACTION VALUES IN HUMAN GENETICS.

Authors:  C A SMITH
Journal:  Ann Hum Genet       Date:  1963-11       Impact factor: 1.670

2.  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

3.  A general model for the genetic analysis of pedigree data.

Authors:  R C Elston; J Stewart
Journal:  Hum Hered       Date:  1971       Impact factor: 0.444

4.  Extensions to pedigree analysis. V. Optimal calculation of Mendelian likelihoods.

Authors:  K Lange; M Boehnke
Journal:  Hum Hered       Date:  1983       Impact factor: 0.444

Review 5.  Sampling considerations in the design and analysis of family studies.

Authors:  R C Elston; G E Bonney
Journal:  Prog Clin Biol Res       Date:  1984

6.  The impact of RFLPs on human gene mapping.

Authors:  M H Skolnick; D T Bishop; C Cannings; S J Hasstedt
Journal:  Prog Clin Biol Res       Date:  1984

7.  Ancestral inference. I. The problem and the method.

Authors:  E A Thompson; C Cannings; M H Skolnick
Journal:  Ann Hum Genet       Date:  1978-07       Impact factor: 1.670

8.  Strategies for multilocus linkage analysis in humans.

Authors:  G M Lathrop; J M Lalouel; C Julier; J Ott
Journal:  Proc Natl Acad Sci U S A       Date:  1984-06       Impact factor: 11.205

9.  The search for heterogeneity in insulin-dependent diabetes mellitus (IDDM): linkage studies, two-locus models, and genetic heterogeneity.

Authors:  S E Hodge; C E Anderson; K Neiswanger; R S Sparkes; D L Rimoin
Journal:  Am J Hum Genet       Date:  1983-11       Impact factor: 11.025

10.  Genetic linkage between hereditary hemochromatosis and HLA.

Authors:  K Kravitz; M Skolnick; C Cannings; D Carmelli; B Baty; B Amos; A Johnson; N Mendell; C Edwards; G Cartwright
Journal:  Am J Hum Genet       Date:  1979-09       Impact factor: 11.025

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  58 in total

1.  On a randomization procedure in linkage analysis.

Authors:  H Zhao; K R Merikangas; K K Kidd
Journal:  Am J Hum Genet       Date:  1999-11       Impact factor: 11.025

2.  Analysis of the prostate cancer-susceptibility locus HPC20 in 172 families affected by prostate cancer.

Authors:  C H Bock; J M Cunningham; S K McDonnell; D J Schaid; B J Peterson; R J Pavlic; J J Schroeder; J Klein; A J French; A Marks; S N Thibodeau; E M Lange; K A Cooney
Journal:  Am J Hum Genet       Date:  2001-02-06       Impact factor: 11.025

3.  Performance of Markov chain-Monte Carlo approaches for mapping genes in oligogenic models with an unknown number of loci.

Authors:  J K Lee; D C Thomas
Journal:  Am J Hum Genet       Date:  2000-10-13       Impact factor: 11.025

4.  Demographic and phenotypic features of 70 families segregating Barrett's oesophagus and oesophageal adenocarcinoma.

Authors:  C M Drovdlic; K A B Goddard; A Chak; W Brock; L Chessler; J F King; J Richter; G W Falk; D K Johnston; J L Fisher; W M Grady; S Lemeshow; C Eng
Journal:  J Med Genet       Date:  2003-09       Impact factor: 6.318

5.  Importance sampling. I. Computing multimodel p values in linkage analysis.

Authors:  A Kong; M Frigge; M Irwin; N Cox
Journal:  Am J Hum Genet       Date:  1992-12       Impact factor: 11.025

6.  Power of sib-pair and sib-trio linkage analysis with assortative mating and multiple disease loci.

Authors:  W M Sribney; M Swift
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

7.  Evidence for genetic heterogeneity in tuberous sclerosis: one locus on chromosome 9 and at least one locus elsewhere.

Authors:  H Northrup; D J Kwiatkowski; E S Roach; W B Dobyns; R A Lewis; G E Herman; E Rodriguez; S P Daiger; S H Blanton
Journal:  Am J Hum Genet       Date:  1992-10       Impact factor: 11.025

8.  A Monte Carlo method for combined segregation and linkage analysis.

Authors:  S W Guo; E A Thompson
Journal:  Am J Hum Genet       Date:  1992-11       Impact factor: 11.025

9.  Estimation and visualization of identity-by-descent within pedigrees simplifies interpretation of complex trait analysis.

Authors:  Elizabeth E Marchani; Ellen M Wijsman
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

Review 10.  Haplotyping methods for pedigrees.

Authors:  Guimin Gao; David B Allison; Ina Hoeschele
Journal:  Hum Hered       Date:  2009-01-27       Impact factor: 0.444

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