2026-05-07T10:40:16Z https://api.figshare.com/v2/oai
oai:figshare.com:article/21603651 2022-12-01T09:20:44Z category_24319 portal_549 item_type_3 month_year_12_2022
10.5522/04/21603651.v4 https://figshare.com/articles/dataset/Druggable_proteins_influencing_cardiac_structure_and_function_implications_for_heart_failure_therapies_and_cancer_related_cardiotoxicity/21603651 https://ndownloader.figshare.com/files/38417219 https://ndownloader.figshare.com/files/38417222 https://ndownloader.figshare.com/files/38442065 https://ndownloader.figshare.com/files/40097035 https://ndownloader.figshare.com/files/40097122 Schmidt, Floriaan Floriaan Schmidt 0000-0003-1327-0424 Finan, Chris Chris Finan Asselbergs, Folkert Folkert Asselbergs Hingorani, Aroon Aroon Hingorani <![CDATA[Druggable proteins influencing cardiac structure and function: implications for heart failure therapies and cancer-cardiotoxicity]]> Genetics not elsewhere classified cardiac MRI (CMR) Genetic analysis results Genetics 2023-04-20 2023-04-20 Dataset 2022 University College London Aggregate data for the Schmidt et. al. GWAS on 16 biventricular cardiac MRI traits, released in genomics build 37 and 38. 


Estimates pertain to the genetic association with 16 cardiac MRI traits measured in UK Biobank participants. Analyses were conducted with and without accounting for body surface area and systolic blood pressure (see README file for further detials). 


The genetic instrumental variable data is shared as a `InstrumentalVariables.tar`. Please see the included README.md for relevant details. 


Additionally, we have included the python module `gwas_norm` used to normalize aggregated GWAS data. The most up-to-date version can be found on gitlab: https://gitlab.com/cfinan/gwas_norm . 

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