1. Schlosser, Pascal, Zhang, Jingning, Liu, Hongbo, Coresh, Josef, Grams, Morgan E. 2023. Transcriptome- and proteome-wide association studies nominate determinants of kidney function and damage. In Genome biology, 24, 150. doi:10.1186/s13059-023-02993-y. https://pubmed.ncbi.nlm.nih.gov/37365616/
2. Dong, Xing-Xuan, Chen, Dong-Ling, Chen, Hui-Min, Grzybowski, Andrzej, Pan, Chen-Wei. 2024. DNA methylation biomarkers and myopia: a multi-omics study integrating GWAS, mQTL and eQTL data. In Clinical epigenetics, 16, 157. doi:10.1186/s13148-024-01772-1. https://pubmed.ncbi.nlm.nih.gov/39538342/
3. Bai, Ruojing, Li, Zhen, Hou, Yuying, Wu, Hao, Dai, Lili. 2021. Identification of Diagnostic Markers Correlated With HIV+ Immune Non-response Based on Bioinformatics Analysis. In Frontiers in molecular biosciences, 8, 809085. doi:10.3389/fmolb.2021.809085. https://pubmed.ncbi.nlm.nih.gov/35004856/
4. Blessing, Alicia M, Ganesan, Sathya, Rajapakshe, Kimal, McDonnell, Donald P, Frigo, Daniel E. 2015. Identification of a Novel Coregulator, SH3YL1, That Interacts With the Androgen Receptor N-Terminus. In Molecular endocrinology (Baltimore, Md.), 29, 1426-39. doi:10.1210/me.2015-1079. https://pubmed.ncbi.nlm.nih.gov/26305679/
5. Fernandes, Sunjay Jude, Morikawa, Hiromasa, Ewing, Ewoud, Tegnér, Jesper, Gomez-Cabrero, David. 2019. Non-parametric combination analysis of multiple data types enables detection of novel regulatory mechanisms in T cells of multiple sclerosis patients. In Scientific reports, 9, 11996. doi:10.1038/s41598-019-48493-7. https://pubmed.ncbi.nlm.nih.gov/31427643/
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