| Autor: |
Wang H; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA. hwang@bwh.harvard.edu.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA. hwang@bwh.harvard.edu.; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. hwang@bwh.harvard.edu., Sofer T; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.; Program in Medical and Population Genetics, Broad Institute, Cambridge, MA, USA., Zhang X; College of Information Sciences and Technology, Pennsylvania State University, University Park, PA, USA., Elston RC; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA., Redline S; Division of Sleep and Circadian Disorders, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, USA.; Department of Sleep Medicine, Beth Israel Deaconess Medical Center, Boston, MA, USA., Zhu X; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, USA. |
| Abstrakt: |
Local ancestry, defined as the genetic ancestry at a genomic location of an admixed individual, is widely used as a genetic marker in genetic association and evolutionary genetics studies. Many methods have been developed to infer the local ancestries in a set of unrelated individuals, a few of them have been extended to small nuclear families, but none can be applied to large (e.g. three-generation) pedigrees. In this study, we developed a method, FamANC, that can improve the accuracy of local ancestry inference in large pedigrees by: (1) using an existing algorithm to infer local ancestries for all individuals in a family, assuming (contrary to fact) they are unrelated, and (2) improving its accuracy by correcting inference errors using pedigree structure. Applied on African-American pedigrees from the Cleveland Family Study, FamANC was able to correct all identified Mendelian errors and most of double crossovers. |
