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Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease

The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes at disease-associated loci. QTL mapping has mainly been focused on multi-tissue expression QTL or plasma protein QTL (pQTL). Here we generated th...

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Autores principales: Cruchaga, Carlos, Western, Dan, Timsina, Jigyasha, Wang, Lihua, Wang, Ciyang, Yang, Chengran, Ali, Muhammad, Beric, Aleksandra, Gorijala, Priyanka, Kohlfeld, Patsy, Budde, John, Levey, Allan, Morris, John, Perrin, Richard, Ruiz, Agustín, Marquié, Marta, Boada, Mercè, de Rojas, Itziar, Rutledge, Jarod, Oh, Hamilton, Wilson, Edward, Guen, Yann Le, Alvarez, Ignacio, Aguilar, Miquel, Greicius, Michael, Pastor, Pau, Pulford, David, Ibanez, Laura, Wyss-Coray, Tony, Sung, Yun Ju, Phillips, Bridget
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Journal Experts 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275048/
https://www.ncbi.nlm.nih.gov/pubmed/37333337
http://dx.doi.org/10.21203/rs.3.rs-2814616/v1
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author Cruchaga, Carlos
Western, Dan
Timsina, Jigyasha
Wang, Lihua
Wang, Ciyang
Yang, Chengran
Ali, Muhammad
Beric, Aleksandra
Gorijala, Priyanka
Kohlfeld, Patsy
Budde, John
Levey, Allan
Morris, John
Perrin, Richard
Ruiz, Agustín
Marquié, Marta
Boada, Mercè
de Rojas, Itziar
Rutledge, Jarod
Oh, Hamilton
Wilson, Edward
Guen, Yann Le
Alvarez, Ignacio
Aguilar, Miquel
Greicius, Michael
Pastor, Pau
Pulford, David
Ibanez, Laura
Wyss-Coray, Tony
Sung, Yun Ju
Phillips, Bridget
author_facet Cruchaga, Carlos
Western, Dan
Timsina, Jigyasha
Wang, Lihua
Wang, Ciyang
Yang, Chengran
Ali, Muhammad
Beric, Aleksandra
Gorijala, Priyanka
Kohlfeld, Patsy
Budde, John
Levey, Allan
Morris, John
Perrin, Richard
Ruiz, Agustín
Marquié, Marta
Boada, Mercè
de Rojas, Itziar
Rutledge, Jarod
Oh, Hamilton
Wilson, Edward
Guen, Yann Le
Alvarez, Ignacio
Aguilar, Miquel
Greicius, Michael
Pastor, Pau
Pulford, David
Ibanez, Laura
Wyss-Coray, Tony
Sung, Yun Ju
Phillips, Bridget
author_sort Cruchaga, Carlos
collection PubMed
description The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes at disease-associated loci. QTL mapping has mainly been focused on multi-tissue expression QTL or plasma protein QTL (pQTL). Here we generated the largest-to-date cerebrospinal fluid (CSF) pQTL atlas by analyzing 7,028 proteins in 3,107 samples. We identified 3,373 independent study-wide associations for 1,961 proteins, including 2,448 novel pQTLs of which 1,585 are unique to CSF, demonstrating unique genetic regulation of the CSF proteome. In addition to the established chr6p22.2-21.32 HLA region, we identified pleiotropic regions on chr3q28 near OSTN and chr19q13.32 near APOE that were enriched for neuron-specificity and neurological development. We also integrated this pQTL atlas with the latest Alzheimer’s disease (AD) GWAS through PWAS, colocalization and Mendelian Randomization and identified 42 putative causal proteins for AD, 15 of which have drugs available. Finally, we developed a proteomics-based risk score for AD that outperforms genetics-based polygenic risk scores. These findings will be instrumental to further understand the biology and identify causal and druggable proteins for brain and neurological traits.
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spelling pubmed-102750482023-06-17 Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease Cruchaga, Carlos Western, Dan Timsina, Jigyasha Wang, Lihua Wang, Ciyang Yang, Chengran Ali, Muhammad Beric, Aleksandra Gorijala, Priyanka Kohlfeld, Patsy Budde, John Levey, Allan Morris, John Perrin, Richard Ruiz, Agustín Marquié, Marta Boada, Mercè de Rojas, Itziar Rutledge, Jarod Oh, Hamilton Wilson, Edward Guen, Yann Le Alvarez, Ignacio Aguilar, Miquel Greicius, Michael Pastor, Pau Pulford, David Ibanez, Laura Wyss-Coray, Tony Sung, Yun Ju Phillips, Bridget Res Sq Article The integration of quantitative trait loci (QTL) with disease genome-wide association studies (GWAS) has proven successful at prioritizing candidate genes at disease-associated loci. QTL mapping has mainly been focused on multi-tissue expression QTL or plasma protein QTL (pQTL). Here we generated the largest-to-date cerebrospinal fluid (CSF) pQTL atlas by analyzing 7,028 proteins in 3,107 samples. We identified 3,373 independent study-wide associations for 1,961 proteins, including 2,448 novel pQTLs of which 1,585 are unique to CSF, demonstrating unique genetic regulation of the CSF proteome. In addition to the established chr6p22.2-21.32 HLA region, we identified pleiotropic regions on chr3q28 near OSTN and chr19q13.32 near APOE that were enriched for neuron-specificity and neurological development. We also integrated this pQTL atlas with the latest Alzheimer’s disease (AD) GWAS through PWAS, colocalization and Mendelian Randomization and identified 42 putative causal proteins for AD, 15 of which have drugs available. Finally, we developed a proteomics-based risk score for AD that outperforms genetics-based polygenic risk scores. These findings will be instrumental to further understand the biology and identify causal and druggable proteins for brain and neurological traits. American Journal Experts 2023-06-09 /pmc/articles/PMC10275048/ /pubmed/37333337 http://dx.doi.org/10.21203/rs.3.rs-2814616/v1 Text en https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format, so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Cruchaga, Carlos
Western, Dan
Timsina, Jigyasha
Wang, Lihua
Wang, Ciyang
Yang, Chengran
Ali, Muhammad
Beric, Aleksandra
Gorijala, Priyanka
Kohlfeld, Patsy
Budde, John
Levey, Allan
Morris, John
Perrin, Richard
Ruiz, Agustín
Marquié, Marta
Boada, Mercè
de Rojas, Itziar
Rutledge, Jarod
Oh, Hamilton
Wilson, Edward
Guen, Yann Le
Alvarez, Ignacio
Aguilar, Miquel
Greicius, Michael
Pastor, Pau
Pulford, David
Ibanez, Laura
Wyss-Coray, Tony
Sung, Yun Ju
Phillips, Bridget
Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title_full Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title_fullStr Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title_full_unstemmed Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title_short Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for Alzheimer’s disease
title_sort proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and informs causal proteins for alzheimer’s disease
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10275048/
https://www.ncbi.nlm.nih.gov/pubmed/37333337
http://dx.doi.org/10.21203/rs.3.rs-2814616/v1
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