| Year |
Citation |
Score |
| 2023 |
Li B, Sangkuhl K, Whaley R, Woon M, Keat K, Whirl-Carrillo M, Ritchie MD, Klein TE. Frequencies of pharmacogenomic alleles across biogeographic groups in a large-scale biobank. American Journal of Human Genetics. 110: 1628-1647. PMID 37757824 DOI: 10.1016/j.ajhg.2023.09.001 |
0.477 |
|
| 2023 |
Pividori M, Lu S, Li B, Su C, Johnson ME, Wei WQ, Feng Q, Namjou B, Kiryluk K, Kullo IJ, Luo Y, Sullivan BD, Voight BF, Skarke C, Ritchie MD, et al. Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms. Nature Communications. 14: 5562. PMID 37689782 DOI: 10.1038/s41467-023-41057-4 |
0.557 |
|
| 2023 |
Hui D, Mehrabi S, Quimby AE, Chen T, Chen S, Park J, Li B, Ruckenstein MJ, Rader DJ, Ritchie MD, Brant JA, Epstein DJ, Mathieson I. Gene burden analysis identifies genes associated with increased risk and severity of adult-onset hearing loss in a diverse hospital-based cohort. Plos Genetics. 19: e1010584. PMID 36656851 DOI: 10.1371/journal.pgen.1010584 |
0.476 |
|
| 2022 |
Verma SS, Keat K, Li B, Hoffecker G, Risman M, Sangkuhl K, Whirl-Carrillo M, Dudek S, Verma A, Klein TE, Ritchie MD, Tuteja S. Evaluating the frequency and the impact of pharmacogenetic alleles in an ancestrally diverse Biobank population. Journal of Translational Medicine. 20: 550. PMID 36443877 DOI: 10.1186/s12967-022-03745-5 |
0.669 |
|
| 2022 |
Li B, Sangkuhl K, Keat K, Whaley RM, Woon M, Verma S, Dudek S, Tuteja S, Verma A, Whirl-Carrillo M, Ritchie MD, Klein TE. How to Run the Pharmacogenomics Clinical Annotation Tool (PharmCAT). Clinical Pharmacology and Therapeutics. PMID 36350094 DOI: 10.1002/cpt.2790 |
0.677 |
|
| 2022 |
Li B, Whirl-Carrillo M, Wright MW, Babb L, Rehm HL, Klein TE. An Investigation of the Knowledge Overlap between Pharmacogenomics and Disease Genetics. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 27: 385-396. PMID 34890165 |
0.353 |
|
| 2021 |
Li B, Ritchie MD. From GWAS to Gene: Transcriptome-Wide Association Studies and Other Methods to Functionally Understand GWAS Discoveries. Frontiers in Genetics. 12: 713230. PMID 34659337 DOI: 10.3389/fgene.2021.713230 |
0.57 |
|
| 2021 |
Ahmadmehrabi S, Li B, Hui D, Park J, Ritchie M, Rader DJ, Ruckenstein MJ, Epstein DJ, Brant J. A Genome-First Approach to Rare Variants in Dominant Postlingual Hearing Loss Genes in a Large Adult Population. Otolaryngology--Head and Neck Surgery : Official Journal of American Academy of Otolaryngology-Head and Neck Surgery. 1945998211029544. PMID 34281439 DOI: 10.1177/01945998211029544 |
0.441 |
|
| 2021 |
Li B, Veturi Y, Verma A, Bradford Y, Daar ES, Gulick RM, Riddler SA, Robbins GK, Lennox JL, Haas DW, Ritchie MD. Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults. Plos Genetics. 17: e1009464. PMID 33901188 DOI: 10.1371/journal.pgen.1009464 |
0.654 |
|
| 2021 |
Ahmadmehrabi S, Li B, Park J, Devkota B, Vujkovic M, Ko YA, Van Wagoner D, Tang WHW, Krantz I, Ritchie M, Brant J, Ruckenstein MJ, Epstein DJ, Rader DJ. Genome-first approach to rare EYA4 variants and cardio-auditory phenotypes in adults. Human Genetics. PMID 33745059 DOI: 10.1007/s00439-021-02263-6 |
0.557 |
|
| 2019 |
Li B, Veturi Y, Bradford Y, Verma SS, Verma A, Lucas AM, Haas DW, Ritchie MD. Influence of tissue context on gene prioritization for predicted transcriptome-wide association studies. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 24: 296-307. PMID 30864331 |
0.692 |
|
| 2018 |
Verma SS, Lucas A, Zhang X, Veturi Y, Dudek S, Li B, Li R, Urbanowicz R, Moore JH, Kim D, Ritchie MD. Collective feature selection to identify crucial epistatic variants. Biodata Mining. 11: 5. PMID 29713383 DOI: 10.1186/S13040-018-0168-6 |
0.573 |
|
| 2018 |
Li B, Verma SS, Veturi YC, Verma A, Bradford Y, Haas DW, Ritchie MD. Evaluation of PrediXcan for prioritizing GWAS associations and predicting gene expression. Pacific Symposium On Biocomputing. Pacific Symposium On Biocomputing. 23: 448-459. PMID 29218904 |
0.69 |
|
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