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Nature genetics · 2024

Proteogenomic analysis of human cerebrospinal fluid identifies neurologically relevant regulation and implicates causal proteins for Alzheimer's disease.

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Western Daniel, Timsina Jigyasha, Wang Lihua, Wang Ciyang, Yang Chengran, Phillips Bridget, Wang Yueyao, Liu Menghan, Ali Muhammad, Beric Aleksandra, Gorijala Priyanka, Kohlfeld Pat, Budde John, Levey Allan I, Morris John C, Perrin Richard J, Ruiz Agustin, Marquié Marta, Boada Mercè, de Rojas Itziar, Rutledge Jarod, Oh Hamilton, Wilson Edward N, Le Guen Yann, Reus Lianne M, Tijms Betty, Visser Pieter Jelle, van der Lee Sven J, Pijnenburg Yolande A L, Teunissen Charlotte E, Del Campo Milan Marta, Alvarez Ignacio, Aguilar Miquel, Dominantly Inherited Alzheimer Network (DIAN), Alzheimer’s Disease Neuroimaging Initiative (ADNI), Greicius Michael D, Pastor Pau, Pulford David J, Ibanez Laura, Wyss-Coray Tony, Sung Yun Ju, Cruchaga Carlos

Аннотация

The integration of quantitative trait loci (QTLs) with disease genome-wide association studies (GWASs) has proven successful in prioritizing candidate genes at disease-associated loci. QTL mapping has been focused on multi-tissue expression QTLs or plasma protein QTLs (pQTLs). We generated a cerebrospinal fluid (CSF) pQTL atlas by measuring 6,361 proteins in 3,506 samples. We identified 3,885 associations for 1,883 proteins, including 2,885 new pQTLs, demonstrating unique genetic regulation in CSF. We identified CSF-enriched pleiotropic regions on chromosome (chr)3q28 near OSTN and chr19q13.32 near APOE that were enriched for neuron specificity and neurological development. We integrated our associations with Alzheimer's disease (AD) through proteome-wide association study (PWAS), colocalization and Mendelian randomization and identified 38 putative causal proteins, 15 of which have drugs available. Finally, we developed a proteomics-based AD prediction model that outperforms genetics-based models. These findings will be instrumental to further understand the biology and identify causal and druggable proteins for brain and neurological traits.

Предметные рубрики MeSH

ИП Урсолов Владлен Сергеевич

ИНН 500118482352 · ОГРНИП 314500117700049

Реквизиты и контакты