Linkage Disequilibrium Statistics and Block Visualization.
| Autor: | Marsh J; School of Biological Sciences, University of Western Australia, Perth, WA, Australia. 21485753@student.uwa.edu. |
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| Jazyk: | angličtina |
| Zdroj: | Methods in molecular biology (Clifton, N.J.) [Methods Mol Biol] 2022; Vol. 2443, pp. 483-496. |
| DOI: | 10.1007/978-1-0716-2067-0_25 |
| Abstrakt: | Linkage disequilibrium analysis enables researchers to interrogate the genome for patterns of coinheritance between genetic markers. Visualizing these patterns, and the characteristic haplotype "blocks" of linked variants can be challenging; however, advancements are being made through the development of bioinformatics software. Here, we introduce methods for producing linkage disequilibrium statistics using the widely applicable population genomics tool PLINK, before plotting linkage blocks generated in R and utilizing visualization software LDBlockShow to compare different measures of linkage and definitions of blocks. (© 2022. The Author(s), under exclusive license to Springer Science+Business Media, LLC, part of Springer Nature.) |
| Databáze: | MEDLINE |
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