Bjarni J. Vilhjalmsson, Ph.D.
Affiliations: | 2011 | Computational Molecular Biology | University of Southern California, Los Angeles, CA, United States |
Area:
Genetics, Botany Biology, EpidemiologyGoogle:
"Bjarni Vilhjalmsson"Parents
Sign in to add mentor| Magnus Nordborg | grad student | 2011 | USC | |
| (Mapping complex traits in structured populations.) | ||||
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Publications
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| Pedersen EM, Agerbo E, Plana-Ripoll O, et al. (2023) ADuLT: An efficient and robust time-to-event GWAS. Nature Communications. 14: 5553 |
| Sigurdsson AI, Louloudis I, Banasik K, et al. (2023) Deep integrative models for large-scale human genomics. Nucleic Acids Research |
| Ding Y, Hou K, Xu Z, et al. (2023) Polygenic scoring accuracy varies across the genetic ancestry continuum. Nature |
| Privé F, Aschard H, Carmi S, et al. (2022) Portability of 245 polygenic scores when derived from the UK Biobank and applied to 9 ancestry groups from the same cohort. American Journal of Human Genetics. 109: 12-23 |
| Julienne H, Laville V, McCaw ZR, et al. (2021) Multitrait GWAS to connect disease variants and biological mechanisms. Plos Genetics. 17: e1009713 |
| Zhang Q, Privé F, Vilhjálmsson B, et al. (2021) Improved genetic prediction of complex traits from individual-level data or summary statistics. Nature Communications. 12: 4192 |
| Albiñana C, Grove J, McGrath JJ, et al. (2021) Leveraging both individual-level genetic data and GWAS summary statistics increases polygenic prediction. American Journal of Human Genetics |
| Privé F, Zhu Z, Vilhjalmsson BJ. (2021) Finding hidden treasures in summary statistics from genome-wide association studies. Nature Genetics. 53: 431-432 |
| Privé F, Arbel J, Vilhjálmsson BJ. (2020) LDpred2: better, faster, stronger. Bioinformatics (Oxford, England) |
| Privé F, Luu K, Blum MGB, et al. (2020) Efficient toolkit implementing best practices for principal component analysis of population genetic data. Bioinformatics (Oxford, England) |