1/ Starting the year by reflecting on some exciting progress from late last year: our research article, “Leveraging Large-Scale Datasets and Single Cell Omics Data to Develop a Polygenic Score for Cisplatin-Induced Ototoxicity”, has been published. Here's a thread summarizing key

7/ Check out our study here:

6/ This work wouldn’t have been possible without the incredible contributions and support of our collaborators: @Junjyang, Wejian Yang, @LabDabdoub, and @JanilynArsenio. A huge thank you to my supervisor, @brittdrog, for their guidance and support throughout this project. I’m

5/ While challenges remain and the clinical utility of the PGS is still limited, this study provides valuable insights into the potential biological mechanisms underlying CIO by pinpointing the specific cochlear cell types that are affected by cisplatin. By uncovering their

4/ Next, we incorporated snRNA-seq data that our lab generated from the inner ears of cisplatin-treated mice. This approach allowed us to prioritize variants that are mapped to genes that are differentially expressed in cochlear cell types impacted by cisplatin. This approach

3/ Pharmacogenomic PGS development is limited by small sample sizes. To overcome these challenges, we utilized large-scale genomic databases (i.e., UKBiobank) to uncover variants that are of relevance to diverse hearing traits for inclusion in our PGS.

2/ This study developed the first biologically informed polygenic score (PGS) for cisplatin-induced ototoxicity (CIO)using a large-scale hearing loss dataset and a pharmacogenomic filter generated from cisplatin-treated mouse inner ear single-nuclei RNA sequencing (snRNA-seq)

2/ This study developed the first biologically informed polygenic score (PGS) for cisplatin-induced ototoxicity (CIO) using a large-scale hearing loss dataset and a pharmacogenomic filter generated from cisplatin-treated mouse inner ear single-nuclei RNA sequencing (snRNA-seq)

@pgrnhub @hakyim 8/ Continued efforts in sharing GWAS sumstats are essential for maximizing research potential and identifying clinically actionable findings in pharmacogenomics. Thanks to all who contributed to this work: Feryal Ladha, @Sarah_M_Lyle, Niel Olivier, @samahmed04 and @brittdrog!

@pgrnhub @hakyim 7/ Call for Continued Data Sharing: Despite challenges, there’s a growing trend towards data sharing and collaboration in pharmacogenomics.

@pgrnhub @hakyim 6/ Recommendations for Improvement: Suggestions include mandatory reporting of summary statistic elements and utilization of established data sharing platforms (e.g., GWAS Catalog: https://t.co/w0nHdBRJhb, Zenodo: https://t.co/4lC11CXu4d, and figshare: https://t.co/BaD8IGe78e).

@pgrnhub 5/ Need for Standardization: We highlight the importance of standardizing reporting elements in summary statistics, as described by @hakyim: https://t.co/OWY8ea71kb…. This will facilitate downstream analyses and ensure data compatibility across studies.

@pgrnhub 4/ Positive Response from Authors: While only a fraction of authors that we contacted were able to share their data, ~31% of authors responded to our data sharing requests, indicating a willingness to collaborate within the pharmacogenomics community.

@pgrnhub 3/ Limited Data Sharing: Only 2% of pharmacogenomic GWAS articles that we reviewed contained links to publicly available summary statistics, highlighting a significant gap in data sharing practices.

2/ We hope that the findings from this article encourage increased open science initiatives to accelerate pharmacogenomics research! https://t.co/OmZmrkhSez @pgrnhub Some key findings are highlighted below:

1/ Excited to announce that our article on the vital role of data sharing in pharmacogenomics from the Drögemöller lab is out! We conducted a systematic review to examine the availability of GWAS summary statistics.

We are thrilled to congratulate the recipients of the @Research_MB Masters and PhD Grant Competition and @CancerCareMBFdn Summer Student Awards! View the recipients here https://t.co/ZhLK4ihHlL Well done! #CancerResearch #CareThroughDiscovery

Congrats to @raa_anam (@notthatdrjones Lab), @MiaoNixie (@brittdrog Lab), @CheethamNSCI (@OgilvieTamra Lab) and Havva Afshari (@ReneZahedi Lab) for receiving @Research_MB Masters Studentships! 👏👏👏

📢 MSc trainee Deanne Nixie Miao from @brittdrog team discussing the impact of cisplatin on hearing loss ✅cisplatin accumulate in cochlea nerve fibres ✅can genomic data be used to predict CIO? ✅genetic overlap between CIO and hearing loss @manitobaneuro @UM_RadyFHS #MNN2023

Awesome day @FortWhyteAlive for our @InnovationCA precision genomics suite retreat with the research groups of @KaarinaKowalec, @brittdrog, & @GalenWright @UM_RadyFHS @MB_MSResearch @manitobaneuro #humangenomics #genomics