Pier Palamara | Large-scale inference of ancestral recombination graphs enables genea...| CGSI 2022
Автор: Computational Genomics Summer Institute CGSI
Загружено: 2022-11-14
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Pier Palamara | Large-scale inference of ancestral recombination graphs enables genealogy-based association of complex traits
Related papers:
1. Palamara, P. F., Terhorst, J., Song, Y. S., & Price, A. L. (2018). High-throughput inference of pairwise coalescence times identifies signals of selection and enriched disease heritability. Nature genetics, 50(9), 1311–1317. https://doi.org/10.1038/s41588-018-01...
2. Nait Saada, J., Kalantzis, G., Shyr, D., Cooper, F., Robinson, M., Gusev, A., & Palamara, P. F. (2020). Identity-by-descent detection across 487,409 British samples reveals fine scale population structure and ultra-rare variant associations. Nature communications, 11(1), 6130. https://doi.org/10.1038/s41467-020-19...
3. Brian C. Zhang, Arjun Biddanda, Pier Francesco Palamara
Biobank-scale inference of ancestral recombination graphs enables genealogy-based mixed model association of complex traits
bioRxiv 2021.11.03.466843; doi: https://doi.org/10.1101/2021.11.03.46...
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