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Publications

A versatile information retrieval framework for evaluating profile strength and similarity.

Kalinin AA, Arevalo J, Vulliard L, et al. A versatile information retrieval framework for evaluating profile strength and similarity. bioRxiv : the preprint server for biology. 2024. doi:10.1101/2024.04.01.587631

An esophagus cell atlas reveals dynamic rewiring during active eosinophilic esophagitis and remission.

Ding J, Garber JJ, Uchida A, et al. An esophagus cell atlas reveals dynamic rewiring during active eosinophilic esophagitis and remission. Nature communications. 2024;15(1):3344. doi:10.1038/s41467-024-47647-0

Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder.

Nievergelt CM, Maihofer AX, Atkinson EG, et al. Genome-wide association analyses identify 95 risk loci and provide insights into the neurobiology of post-traumatic stress disorder. Nature genetics. 2024. doi:10.1038/s41588-024-01707-9

ACE inhibitors and angiotensin receptor blockers differentially alter the response to angiotensin II treatment in vasodilatory shock.

Leisman DE, Handisides DR, Busse LW, et al. ACE inhibitors and angiotensin receptor blockers differentially alter the response to angiotensin II treatment in vasodilatory shock. Critical care (London, England). 2024;28(1):130. doi:10.1186/s13054-024-04910-6

Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes.

Kuznetsova KG, Vašíček J, Skiadopoulou D, et al. Bioinformatics pipeline for the systematic mining genomic and proteomic variation linked to rare diseases: The example of monogenic diabetes. PloS one. 2024;19(4):e0300350. doi:10.1371/journal.pone.0300350

Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes.

Toikumo S, Jennings M V, Pham BK, et al. Multi-ancestry meta-analysis of tobacco use disorder identifies 461 potential risk genes and reveals associations with multiple health outcomes. Nature human behaviour. 2024. doi:10.1038/s41562-024-01851-6

Refining the impact of genetic evidence on clinical success.

Minikel EV, Painter JL, Dong CC, Nelson MR. Refining the impact of genetic evidence on clinical success. Nature. 2024. doi:10.1038/s41586-024-07316-0

Refining the impact of genetic evidence on clinical success.

Minikel EV, Painter JL, Dong CC, Nelson MR. Refining the impact of genetic evidence on clinical success. Nature. 2024. doi:10.1038/s41586-024-07316-0

Analysis of REST binding sites with canonical and non-canonical motifs in human cell lines.

Choi J, Lee EA. Analysis of REST binding sites with canonical and non-canonical motifs in human cell lines. BMC medical genomics. 2024;17(Suppl 1):92. doi:10.1186/s12920-024-01860-4

Placental senescence pathophysiology is shared between peripartum cardiomyopathy and preeclampsia in mouse and human.

Roh JD, Castro C, Yu A, et al. Placental senescence pathophysiology is shared between peripartum cardiomyopathy and preeclampsia in mouse and human. Science translational medicine. 2024;16(743):eadi0077. doi:10.1126/scitranslmed.adi0077