共 77 条
- [61] Skene N.G., Grant S.G., Identification of vulnerable cell types in major brain disorders using single cell transcriptomes and expression weighted cell type enrichment, Front. Neurosci, 10, (2016)
- [62] Skene N.G., Et al., Genetic identification of brain cell types underlying schizophrenia, Nat. Genet, 50, pp. 825-833, (2018)
- [63] Loh P.-R., Kichaev G., Gazal S., Schoech A.P., Price A.L., Mixed-model association for biobank-scale datasets, Nat. Genet, 50, pp. 906-908, (2018)
- [64] Backman J.D., Et al., Exome sequencing and analysis of 454,787 UK Biobank participants, Nature, 599, pp. 628-634, (2021)
- [65] Day F., Et al., Large-scale genome-wide meta-analysis of polycystic ovary syndrome suggests shared genetic architecture for different diagnosis criteria, PLoS Genet, 14, (2018)
- [66] Tyrmi J.S., Et al., Leveraging Northern European population history: novel low-frequency variants for polycystic ovary syndrome, Hum. Reprod, 37, pp. 352-365, (2022)
- [67] Rashkin S.R., Et al., Pan-cancer study detects genetic risk variants and shared genetic basis in two large cohorts, Nat. Commun, 11, (2020)
- [68] Phelan C.M., Et al., Identification of 12 new susceptibility loci for different histotypes of epithelial ovarian cancer, Nat. Genet, 49, pp. 680-691, (2017)
- [69] Jiang L., Zheng Z., Fang H., Yang J., A generalized linear mixed model association tool for biobank-scale data, Nat. Genet, 53, pp. 1616-1621, (2021)
- [70] A global reference for human genetic variation, Nature, 526, pp. 68-74, (2015)