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Existing methods for haplotype inference using data from relatives were originally developed for pedigree data. In this study, we proposed a new statistical method for haplotype inference for multiple tightly linked single-nucleotide polymorphisms (SNPs), which is tailored for extensively accumulated sibship data. This new method was implemented via an expectation-maximization (EM) algorithm without the usual assumption of linkage equilibrium among markers. Our EM algorithm does not incur extra computational burden for haplotype inference using sibship data when compared with using unrelated parental data. Furthermore, its computational efficiency is not affected by increasing sibship size. We examined the robustness and statistical performance of our new method in simulated data created from an empirical haplotype data set of human growth hormone gene 1. The utility of our method was illustrated with an application to the analyses of haplotypes of three candidate genes for osteoporosis.<\/jats:p>","DOI":"10.1534\/genetics.105.054213","type":"journal-article","created":{"date-parts":[[2006,6,19]],"date-time":"2006-06-19T00:39:35Z","timestamp":1150677575000},"page":"499-509","source":"Crossref","is-referenced-by-count":7,"title":["Accurate Haplotype Inference for Multiple Linked Single-Nucleotide Polymorphisms Using Sibship Data"],"prefix":"10.1093","volume":"174","author":[{"given":"Peng-Yuan","family":"Liu","sequence":"first","affiliation":[{"name":"Osteoporosis Research Center, Creighton University, Omaha, Nebraska 68131"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yan","family":"Lu","sequence":"additional","affiliation":[{"name":"Osteoporosis Research Center, Creighton University, Omaha, Nebraska 68131"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hong-Wen","family":"Deng","sequence":"additional","affiliation":[{"name":"Osteoporosis Research Center, Creighton University, Omaha, Nebraska 68131"},{"name":"The Key Laboratory of Biomedical Information Engineering of Ministry of Education and Institute of Molecular Genetics, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an 710049, People's Republic of China"},{"name":"Laboratory of Molecular and Statistical Genetics, College of Life Sciences, Hunan Normal University, Changsha, Hunan 410081, People's Republic of China and"},{"name":"Department of Orthopedic Surgery, School of Medicine, University of Missouri, Kansas City, Missouri 64108 and"},{"name":"Department of Basic Medical Sciences, School of Medicine, University of Missouri, Kansas City, Missouri 64108"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2006,9,1]]},"reference":[{"key":"2022010917035221300_BIB1","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1038\/ng786","volume":"30","year":"2002","journal-title":"Nat. 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