Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations
Accurately measuring genetic relatedness by Identical-By-Descent (IBD) segments is challenging in biobank-level genome data. The authors present IBD method FastSMC, which when applied to the UK Biobank gives a detailed picture of genetic relatedness and evolutionary history in the UK over the past 2...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2020-11-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-020-19588-x |
| _version_ | 1830299799935516672 |
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| author | Juba Nait Saada Georgios Kalantzis Derek Shyr Fergus Cooper Martin Robinson Alexander Gusev Pier Francesco Palamara |
| author_facet | Juba Nait Saada Georgios Kalantzis Derek Shyr Fergus Cooper Martin Robinson Alexander Gusev Pier Francesco Palamara |
| author_sort | Juba Nait Saada |
| collection | DOAJ |
| description | Accurately measuring genetic relatedness by Identical-By-Descent (IBD) segments is challenging in biobank-level genome data. The authors present IBD method FastSMC, which when applied to the UK Biobank gives a detailed picture of genetic relatedness and evolutionary history in the UK over the past 2000 years. |
| first_indexed | 2024-12-19T08:15:30Z |
| format | Article |
| id | doaj.art-b46ed8444d8241a18138711153c81b43 |
| institution | Directory Open Access Journal |
| issn | 2041-1723 |
| language | English |
| last_indexed | 2024-12-19T08:15:30Z |
| publishDate | 2020-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Nature Communications |
| spelling | doaj.art-b46ed8444d8241a18138711153c81b432022-12-21T20:29:30ZengNature PortfolioNature Communications2041-17232020-11-0111111510.1038/s41467-020-19588-xIdentity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associationsJuba Nait Saada0Georgios Kalantzis1Derek Shyr2Fergus Cooper3Martin Robinson4Alexander Gusev5Pier Francesco Palamara6Department of Statistics, University of OxfordDepartment of Statistics, University of OxfordDepartment of Biostatistics, Harvard T.H. Chan School of Public HealthDepartment of Computer Science, University of OxfordDepartment of Computer Science, University of OxfordBrigham & Women’s Hospital, Division of GeneticsDepartment of Statistics, University of OxfordAccurately measuring genetic relatedness by Identical-By-Descent (IBD) segments is challenging in biobank-level genome data. The authors present IBD method FastSMC, which when applied to the UK Biobank gives a detailed picture of genetic relatedness and evolutionary history in the UK over the past 2000 years.https://doi.org/10.1038/s41467-020-19588-x |
| spellingShingle | Juba Nait Saada Georgios Kalantzis Derek Shyr Fergus Cooper Martin Robinson Alexander Gusev Pier Francesco Palamara Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations Nature Communications |
| title | Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations |
| title_full | Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations |
| title_fullStr | Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations |
| title_full_unstemmed | Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations |
| title_short | Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations |
| title_sort | identity by descent detection across 487 409 british samples reveals fine scale population structure and ultra rare variant associations |
| url | https://doi.org/10.1038/s41467-020-19588-x |
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