A genome-wide scan statistic framework for whole-genome sequence data analysis
Whole-genome sequencing data reveals a large number of variants for testing their associations with phenotypic traits and diseases. Here, the authors develop WGScan, a statistical method for detecting the existence and estimating the locations of the association signal at genome-wide scale.
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Publishing Group
2019-07-01
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| Series: | Nature Communications |
| Online Access: | https://doi.org/10.1038/s41467-019-11023-0 |