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We performed a genome scan, using variance components (VC) linkage analysis and Bayesian Markov chain Monte Carlo (MCMC) joint segregation and linkage analysis, for three quantitative measures of RWR in 108 multigenerational families, with follow up of the strongest signals with parametric LOD score analyses. We used single\u2010word reading efficiency (SWE) to assess speed and accuracy of RWR, and word identification (WID) to assess accuracy alone. Adjusting SWE for WID provided a third measure of RWR efficiency. All three methods of analysis identified a strong linkage signal for SWE on chromosome 13q. Based on multipoint analysis with 13 markers we obtained a MCMC intensity ratio (IR) of 53.2 (chromosome\u2010wide <jats:italic>P<\/jats:italic>\u2009&lt;\u20090.004), a VC LOD score of 2.29, and a parametric LOD score of 2.94, based on a quantitative\u2010trait model from MCMC segregation analysis (SA). A weaker signal for SWE on chromosome 2q occurred in the same location as a significant linkage peak seen previously in a scan for phonological decoding. MCMC oligogenic SA identified three models of transmission for WID, which could be assigned to two distinct linkage peaks on chromosomes 12 and 15. Taken together, these results indicate a locus for efficiency and accuracy of RWR on chromosome 13, and a complex model for inheritance of RWR accuracy with loci on chromosomes 12 and 15. \u00a9 2005 Wiley\u2010Liss, Inc.<\/jats:p>","DOI":"10.1002\/ajmg.b.30245","type":"journal-article","created":{"date-parts":[[2005,12,5]],"date-time":"2005-12-05T23:18:51Z","timestamp":1133824731000},"page":"15-27","source":"Crossref","is-referenced-by-count":37,"title":["Genomewide scan for real\u2010word reading subphenotypes of dyslexia: Novel chromosome 13 locus and genetic complexity"],"prefix":"10.1002","volume":"141B","author":[{"suffix":"Jr","given":"Robert P.","family":"Igo","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nicola H.","family":"Chapman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Virginia 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