bf12fdcc659ee083a5082acdc6b62c81 269704.pdf 4bfa393d620fb401c57cd79b6a917b04021f7539 269704.pdf 0add47d066f319e2268cfe75f91bcec5f3717dad1f5262b765bce703636d105c 269704.pdf Title: RP11-362K2.2:RP11-767I20.1 Genetic Variation Is Associated with Post-Reperfusion Therapy Parenchymal Hematoma. A GWAS Meta-Analysis Subject: Stroke is one of the most common causes of death and disability. Reperfusion therapies are the only treatment available during the acute phase of stroke. Due to recent clinical trials, these therapies may increase their frequency of use by extending the time-window administration, which may lead to an increase in complications such as hemorrhagic transformation, with parenchymal hematoma (PH) being the more severe subtype, associated with higher mortality and disability rates. Our aim was to find genetic risk factors associated with PH, as that could provide molecular targets/pathways for their prevention/treatment and study its genetic correlations to find traits sharing genetic background. We performed a GWAS and meta-analysis, following standard quality controls and association analysis (fastGWAS), adjusting age, NIHSS, and principal components. FUMA was used to annotate, prioritize, visualize, and interpret the meta-analysis results. The total number of patients in the meta-analysis was 2034 (216 cases and 1818 controls). We found rs79770152 having a genome-wide significant association (beta 0.09, p-value 3.90 10-8) located in the RP11-362K2.2:RP11-767I20.1 gene and a suggestive variant (rs13297983: beta 0.07, p-value 6.10 10-8) located in PCSK5 associated with PH occurrence. The genetic correlation showed a shared genetic background of PH with Alzheimer’s disease and white matter hyperintensities. In addition, genes containing the ten most significant associations have been related to aggregated amyloid-, tau protein, white matter microstructure, inflammation, and matrix metalloproteinases. Keywords: hemorrhagic transformation; parenchymal hematoma; GWAS; single nucleotide variants Author: Elena Muiño, Jara Cárcel-Márquez, Caty Carrera, Laia Llucià-Carol, Cristina Gallego-Fabrega, Natalia Cullell, Miquel Lledós, José Castillo, Tomás Sobrino, Francisco Campos, Emilio Rodríguez-Castro, Mònica Millán, Lucía Muñoz-Narbona, Alejandro Bustamante, Elena López-Cancio, Marc Ribó, José Álvarez-Sabín, Jordi Jiménez-Conde, Jaume Roquer, Eva Giralt-Steinhauer, Carolina Soriano-Tárraga, Cristófol Vives-Bauza, Rosa Díaz Navarro, Silvia Tur, Victor Obach, Juan F. Arenillas, Tomás Segura, Gemma Serrano-Heras, Joan Martí-Fàbregas, Raquel Delgado-Mederos, Pol Camps-Renom, Luis Prats-Sánchez, Daniel Guisado, Marina Guasch, Rebeca Marin, Alejandro Martínez-Domeño, Maria del Mar Freijo-Guerrero, Francisco Moniche, Juan Antonio Cabezas, Mar Castellanos, Jerzy Krupinsky, Daniel Strbian, Turgut Tatlisumak, Vincent Thijs, Robin Lemmens, Agnieszka Slowik, Joanna Pera, Laura Heitsch, Laura Ibañez, Carlos Cruchaga, Rajat Dhar, Jin-Moo Lee, Joan Montaner, Israel Fernández-Cadenas, on behalf of International Stroke Genetic Consortium and the Spanish Stroke Genetic Consortium Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Fri Jul 16 13:15:35 2021 CEST ModDate: Fri Jul 16 13:36:54 2021 CEST Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 19 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 7732073 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID 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A GWAS Meta-Analysis Author: Elena Muiño, Jara Cárcel-Márquez, Caty Carrera, Laia Llucià-Carol, Cristina Gallego-Fabrega, Natalia Cullell, Miquel Lledós, José Castillo, Tomás Sobrino, Francisco Campos, Emilio Rodríguez-Castro, Mònica Millán, Lucía Muñoz-Narbona, Alejandro Bustamante, Elena López-Cancio, Marc Ribó, José Álvarez-Sabín, Jordi Jiménez-Conde, Jaume Roquer, Eva Giralt-Steinhauer, Carolina Soriano-Tárraga, Cristófol Vives-Bauza, Rosa Díaz Navarro, Silvia Tur, Victor Obach, Juan F. Arenillas, Tomás Segura, Gemma Serrano-Heras, Joan Martí-Fàbregas, Raquel Delgado-Mederos, Pol Camps-Renom, Luis Prats-Sánchez, Daniel Guisado, Marina Guasch, Rebeca Marin, Alejandro Martínez-Domeño, Maria del Mar Freijo-Guerrero, Francisco Moniche, Juan Antonio Cabezas, Mar Castellanos, Jerzy Krupinsky, Daniel Strbian, Turgut Tatlisumak, Vincent Thijs, Robin Lemmens, Agnieszka Slowik, Joanna Pera, Laura Heitsch, Laura Ibañez, Carlos Cruchaga, Rajat Dhar, Jin-Moo Lee, Joan Montaner, Israel Fernández-Cadenas, on behalf of International Stroke Genetic Consortium and the Spanish Stroke Genetic Consortium Subject: Stroke is one of the most common causes of death and disability. Reperfusion therapies are the only treatment available during the acute phase of stroke. Due to recent clinical trials, these therapies may increase their frequency of use by extending the time-window administration, which may lead to an increase in complications such as hemorrhagic transformation, with parenchymal hematoma (PH) being the more severe subtype, associated with higher mortality and disability rates. Our aim was to find genetic risk factors associated with PH, as that could provide molecular targets/pathways for their prevention/treatment and study its genetic correlations to find traits sharing genetic background. We performed a GWAS and meta-analysis, following standard quality controls and association analysis (fastGWAS), adjusting age, NIHSS, and principal components. FUMA was used to annotate, prioritize, visualize, and interpret the meta-analysis results. The total number of patients in the meta-analysis was 2034 (216 cases and 1818 controls). We found rs79770152 having a genome-wide significant association (beta 0.09, p-value 3.90 10-8) located in the RP11-362K2.2:RP11-767I20.1 gene and a suggestive variant (rs13297983: beta 0.07, p-value 6.10 10-8) located in PCSK5 associated with PH occurrence. The genetic correlation showed a shared genetic background of PH with Alzheimer’s disease and white matter hyperintensities. In addition, genes containing the ten most significant associations have been related to aggregated amyloid-, tau protein, white matter microstructure, inflammation, and matrix metalloproteinases. 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