Evidence map›Paper›PMID 10731467›Full record

ArticleAmerican journal of human genetics2000

Linkage analysis in the presence of errors III: marker loci and their map as nuisance parameters.

H H Göring, J D Terwilliger

Abstract read
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Article in American journal of human genetics, 2000. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  15. Association testing in a linked region using large pedigrees.American journal of human genetics · 2005
    Article
  16. Prospects for admixture mapping of complex traits.American journal of human genetics · 2005
    Review
  17. Article
  18. Article
  19. Article
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

2 authors.

H H GöringDepartment of Genetics and Development, Columbia University, New York, NY, USA.
J D Terwilliger

Funding

LINKAGE ANALYSIS METHODS FOR HUMAN GENE MAPPINGR01HG000008 · NHGRI · ROCKEFELLER UNIVERSITY · PI OTT, JURG · 1990 to 2004
$1.2M
NHGRI NIH HHS HG00008NHGRI NIH HHS R01 HG000008Wellcome Trust
6 · The paper itself

Abstract

In linkage and linkage disequilibrium (LD) analysis of complex multifactorial phenotypes, various types of errors can greatly reduce the chance of successful gene localization. The power of such studies-even in the absence of errors-is quite low, and, accordingly, their robustness to errors can be poor, especially in multipoint analysis. For this reason, it is important to deal with the ramifications of errors up front, as part of the analytical strategy. In this study, errors in the characterization of marker-locus parameters-including allele frequencies, haplotype frequencies (i.e., LD between marker loci), recombination fractions, and locus order-are dealt with through the use of profile likelihoods maximized over such nuisance parameters. It is shown that the common practice of assuming fixed, erroneous values for such parameters can reduce the power and/or increase the probability of obtaining false positive results in a study. The effects of errors in assumed parameter values are generally more severe when a larger number of less informative marker loci, like the highly-touted single nucleotide polymorphisms (SNPs), are analyzed jointly than when fewer but more informative marker loci, such as microsatellites, are used. Rather than fixing inaccurate values for these parameters a priori, we propose to treat them as nuisance parameters through the use of profile likelihoods. It is demonstrated that the power of linkage and/or LD analysis can be increased through application of this technique in situations where parameter values cannot be specified with a high degree of certainty.

Indexed as

Research DesignAllelesChromosome MappingComputer SimulationFalse Positive ReactionsFemaleGene FrequencyGenetic Diseases, InbornGenetic LinkageGenetic MarkersGenotypeHaplotypesHumansLikelihood FunctionsLod ScoreMaleGenetic Markers

Identifiers

PMID10731467
PMCPMC1288196

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.