ArticleAmerican journal of human genetics1997
True and false positive peaks in genomewide scans: applications of length-biased sampling to linkage mapping.
Article in American journal of human genetics, 1997. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.
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Who cites it
36 citing papers in PubMed.
- A genome-wide scan points to a susceptibility locus for bipolar disorder on chromosome 12.Molecular psychiatry · 2005Trial
- CoxPhLb: An R Package for Analyzing Length Biased Data under Cox Model.The R journal · 2020Article
- Nonparametric and semiparametric regression estimation for length-biased survival data.Lifetime data analysis · 2017Review
- HDR: a statistical two-step approach successfully identifies disease genes in autosomal recessive families.Journal of human genetics · 2016Article
- Scan statistics in human gene mapping.American journal of human genetics · 2012Article
- Imputation for semiparametric transformation models with biased-sampling data.Lifetime data analysis · 2012Article
- Maximum Likelihood Estimations and EM Algorithms with Length-biased Data.Journal of the American Statistical Association · 2011Article
- Nonparametric tests for right-censored data with biased sampling.Journal of the Royal Statistical Society. Series B, Statistical methodology · 2010Article
- Recursive partitioning models for linkage in COGA data.BMC genetics · 2005Article
- Genomewide scan and fine-mapping linkage studies in four European samples with bipolar affective disorder suggest a new susceptibility locus on chromosome 1p35-p36 and provides further evidence of loci on chromosome 4q31 and 6q24.American journal of human genetics · 2005Article
- Ranks of genuine associations in whole-genome scans.Genetics · 2005Article
- Article
- Identification of a major locus for age-related cortical cataract on chromosome 6p12-q12 in the Beaver Dam Eye Study.Proceedings of the National Academy of Sciences of the United States of America · 2004Article
- Genomewide linkage and linkage disequilibrium analyses identify COL6A1, on chromosome 21, as the locus for ossification of the posterior longitudinal ligament of the spine.American journal of human genetics · 2003Article
- A chromosome 14 risk locus for simple phobia: results from a genomewide linkage scan.Molecular psychiatry · 2003Article
- Genomewide linkage disequilibrium mapping of severe bipolar disorder in a population isolate.American journal of human genetics · 2002Article
- Evaluation of linkage of breast cancer to the putative BRCA3 locus on chromosome 13q21 in 128 multiple case families from the Breast Cancer Linkage Consortium.Proceedings of the National Academy of Sciences of the United States of America · 2002Article
- A genome-wide scan shows significant linkage between bipolar disorder and chromosome 12q24.3 and suggestive linkage to chromosomes 1p22-21, 4p16, 6q14-22, 10q26 and 16p13.3.Molecular psychiatry · 2002Article
- Large upward bias in estimation of locus-specific effects from genomewide scans.American journal of human genetics · 2001Article
- A genomewide screen for autism susceptibility loci.American journal of human genetics · 2001Article
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Abstract
Disease-susceptibility loci are now being mapped via genomewide scans in which a linkage statistic is computed at each of a large number of markers. Such disease-susceptibility loci may be identified via a peak in the test statistic when the latter is plotted against the genetic map. In this paper we establish, by appealing to renewal theory, that true positive peaks are expected to be longer than false positive peaks. These results are verified by a realistic simulation of a genomewide linkage study based on the affected-sib-pair design. Since longer peaks are more likely to contain a gene of interest than are shorter peaks, these differences may aid in linkage mapping, justifying assignment of lower priority to shorter peaks. However, since these differences are generally small, statistics based on both peak length and height may not be much more powerful than those based on height alone. The results presented here also provide a theoretical framework for methods that use the length of shared haplotypes in populations to map disease genes.
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