Evidence map›Paper›PMID 41282793›Full record

ArticlemedRxiv : the preprint server for health sciences2025

Integrative Genetic, Proteogenomic, and Multi-omics Analyses Reveal Sex-Biased Causal Genes and Drug Targets in Alzheimer's Disease.

Noah Cook, Chenyu Yang, Youjie Zeng, Sathesh K Sivasankaran, Soomin Song, Lia Talozzi, Daniel Western, Chengran Yang, Yue Liu, Yann Le Guen and 13 more

Abstract readPreprint
In one paragraph

Article in medRxiv : the preprint server for health sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

23 authors.

Noah CookDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0009-0006-7906-5924
Chenyu YangDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0009-0003-2017-6134
Youjie ZengDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-3842-1815
Sathesh K SivasankaranDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0003-3037-6001
Soomin SongNeurogenomics and Informatics Center, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-3648-9632
Lia TalozziDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0003-1827-0407
Daniel WesternNeurogenomics and Informatics Center, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-3725-9553
Chengran YangNeurogenomics and Informatics Center, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.ORCID 0000-0003-4577-5590
Yue LiuDepartment of Neurology, University of California, Davis, Sacramento, CA, USA.
Yann Le GuenQuantitative Sciences Unit, Department of Medicine, Stanford University, Stanford, CA, 94304, USA.ORCID 0000-0001-6649-8364
Ilaria StewartDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-8655-9387
Christina YoungDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.
FinnGen
Elizabeth C MorminoDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.ORCID 0009-0003-3321-8081
Andre AltmannThe UCL Hawkes Institute, University College London, London, UK.ORCID 0000-0002-9265-2393
Zihuai HeDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.ORCID 0000-0002-8220-4183
Valerio NapolioniSchool of Biosciences and Veterinary Medicine, University of Camerino, Camerino, 62032, Italy.ORCID 0000-0002-4378-6838
Aliza P WingoDepartment of Psychiatry, University of California, Davis, Sacramento, CA, USA.
Thomas S WingoDepartment of Neurology, University of California, Davis, Sacramento, CA, USA.ORCID 0000-0002-7679-6282
Carlos CruchagaNeurogenomics and Informatics Center, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-0276-2899
Yun Ju SungNeurogenomics and Informatics Center, Washington University in St. Louis, School of Medicine, St. Louis, MO, USA.ORCID 0000-0002-8021-4070
Michael D GreiciusDepartment of Neurology and Neurological Sciences, Stanford University, Stanford, CA, 94305, USA.
Michael E BelloyDepartment of Neurology, Washington University in St. Louis, St. Louis, MO, USA.ORCID 0000-0001-7748-9033

Funding

Dissecting the Genomic Etiology of non-Mendelian Early-Onset Alzheimer Disease and Related PhenotypesR01AG064614 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BEECHAM, GARY WAYNE, CRUCHAGA, CARLOS · 2019 to 2023
$11.5M
Identification and Characterization of Cell-Specific Transposable Elements Implicated on Alzheimer Disease and Healthy AgingR01AG078964 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga, Bess Frost · 2022 to 2026
$9.0M
The brain multi-omic approach to identify key molecular drivers of neuropsychiatric symptoms in Alzheimer's dementiaR01AG072120 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aliza Pham Wingo, Thomas Spurgeon Wingo · 2022 to 2026
$4.3M
Integrative genomic, transcriptomic, and proteomic analyses to investigate sex-specific differences in Alzheimer's DiseaseR01AG075827 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Aliza Pham Wingo, Thomas Spurgeon Wingo · 2022 to 2026
$3.7M
Sex-specific Molecular Profiling to Understand Pathology and Identify Causal Genes and Drug Targets forAlzheimer's DiseaseR01AG074007 · NIA · WASHINGTON UNIVERSITY · PI YunJu Sung · 2024 to 2026
$2.4M
Genetic Modifiers of TREM2 in Alzheimer's DiseaseR01AG058501 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga · 2024 to 2026
$2.2M
Interpretable machine learning methods for the analysis of Alzheimers disease geneticsR01AG089509 · NIA · STANFORD UNIVERSITY · PI Zihuai He · 2025 to 2026
$1.5M
Multimodal Characterization of the Role of Circular RNAs in Alzheimer's DiseaseR01AG071706 · NIA · WASHINGTON UNIVERSITY · PI Carlos Cruchaga · 2025 to 2026
$1.4M
Elucidating sex-specific risk for Alzheimer's disease through state-of-the-art genetics and multi-omicsR00AG075238 · NIA · WASHINGTON UNIVERSITY · PI BELLOY, MICHAEL · 2024 to 2025
$727k
Regional tau deposition and digital assessment of cognition in preclinical AD and MCIR00AG071837 · NIA · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Christina B Young · 2025 to 2026
$606k
BLRD VA I01 BX005686BLRD VA IK4 BX005219NIA NIH HHS R00 AG071837NIA NIH HHS R00 AG075238NIA NIH HHS R01 AG058501NIA NIH HHS R01 AG064614NIA NIH HHS R01 AG071706NIA NIH HHS R01 AG072120NIA NIH HHS R01 AG074007NIA NIH HHS R01 AG075827NIA NIH HHS R01 AG078964NIA NIH HHS R01 AG089509
6 · The paper itself

Abstract

Sex differences are pervasive in Alzheimer's disease, but the underlying drivers remain poorly understood. To address this, we performed sex-stratified genome-wide association studies of Alzheimer's disease in ~1,000,000 individuals, which we subsequently integrated with proteogenomics datasets from neurological tissues to identify candidate causal genes. We further prioritized genes through additional multi-omics approaches, including quantitative trait locus summary-based mendelian randomization and colocalization. Altogether, we prioritized 125 female-biased and 21 male-biased risk genes. Female-biased pathways included amyloid, neurite, stress, clearance, and immune processes, with genes enriched for microglia and astrocyte expression. Through computational drug repurposing analyses, a set of sex hormone related drugs, converging on

Identifiers

PMID41282793
PMCPMC12636628

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.