1. Thompson, Nicola A, Ranzani, Marco, van der Weyden, Louise, Jackson, Stephen P, Adams, David J. 2021. Combinatorial CRISPR screen identifies fitness effects of gene paralogues. In Nature communications, 12, 1302. doi:10.1038/s41467-021-21478-9. https://pubmed.ncbi.nlm.nih.gov/33637726/
2. Malcher, Agnieszka, Stokowy, Tomasz, Berman, Andrea, Yatsenko, Alexander N, Kurpisz, Maciej K. 2022. Whole-genome sequencing identifies new candidate genes for nonobstructive azoospermia. In Andrology, 10, 1605-1624. doi:10.1111/andr.13269. https://pubmed.ncbi.nlm.nih.gov/36017582/
3. Köferle, Anna, Schlattl, Andreas, Hörmann, Alexandra, Mair, Barbara, Neumüller, Ralph A. . Interrogation of cancer gene dependencies reveals paralog interactions of autosome and sex chromosome-encoded genes. In Cell reports, 39, 110636. doi:10.1016/j.celrep.2022.110636. https://pubmed.ncbi.nlm.nih.gov/35417719/
4. Cho, Hye-Won, Jin, Hyun-Seok, Eom, Yong-Bin. 2020. Association between non-Caucasian-specific ASCC1 gene polymorphism and osteoporosis and obesity in Korean postmenopausal women. In Journal of bone and mineral metabolism, 38, 868-877. doi:10.1007/s00774-020-01120-2. https://pubmed.ncbi.nlm.nih.gov/32653958/
5. Jia, Danyun, Lin, Wei, Tang, Hongli, Geng, Wujun, Dai, Qinxue. 2019. Integrative analysis of DNA methylation and gene expression to identify key epigenetic genes in glioblastoma. In Aging, 11, 5579-5592. doi:10.18632/aging.102139. https://pubmed.ncbi.nlm.nih.gov/31395792/
6. Qiu, Jiting, Wang, Chunhui, Hu, Hongkang, Ding, Xuehua, Cai, Yu. 2020. Transcriptome analysis and prognostic model construction based on splicing profiling in glioblastoma. In Oncology letters, 21, 138. doi:10.3892/ol.2020.12399. https://pubmed.ncbi.nlm.nih.gov/33552257/