Evidence map›Paper›PMID 39927718›Full record

ArticleHuman molecular genetics2025

Whole-genome sequencing reveals the impact of lipid pathway and APOE genotype on brain amyloidosis.

Maulikkumar Patel, Cyril Pottier, Kang-Hsien Fan, Arda Cetin, Matthew Johnson, Muhammad Ali, Menghan Liu, Priyanka Gorijala, John Budde, Ruyu Shi and 8 more

Abstract read
In one paragraph

Article in Human molecular genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Review
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

18 authors.

Maulikkumar PatelDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.ORCID 0000-0003-3914-2797
Cyril PottierDepartment of Psychiatry, Neurogenomics and Informatics, Department of Neurology, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Kang-Hsien FanDepartment of Human Genetics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Arda CetinDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Matthew JohnsonDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Muhammad AliDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Menghan LiuDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Priyanka GorijalaDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
John BuddeDepartment of Psychiatry, Neurogenomics and Informatics, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.
Ruyu ShiDepartment of Human Genetics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Ann D CohenDepartment of Psychiatry, University of Pittsburgh, 3811 O'Hara Street, Pittsburgh, PA 15213, United States.
James T BeckerDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213, United States.
Beth E SnitzDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213, United States.
Howard AizensteinDepartment of Human Genetics, University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Oscar L LopezDepartment of Neurology, University of Pittsburgh, 3471 Fifth Avenue, Pittsburgh, PA 15213, United States.
John C MorrisDepartment of Neurology, Hope Center for Neurologic Diseases, Section on Aging & Dementia, Institute of Clinical and Translational Sciences, Knight Alzheimer Disease Research Center Washington University School of Medicine, 4901 Forest Park Ave 4th floor, St. Louis, MO 63108, United States.
M Ilyas KambohDepartment of Human Genetics, Department of Psychiatry University of Pittsburgh, 130 De Soto St, Pittsburgh, PA 15261, United States.
Carlos CruchagaDepartment of Psychiatry, Neurogenomics and Informatics, Department of Neurology, Hope Center for Neurologic Diseases, Knight Alzheimer Disease Research Center, Washington University School of Medicine, 4444 Forest Park Ave, St. Louis, MO 63108, United States.

Funding

Smartphone-Based "Burst" Cognitive AssessmentsP01AG003991 · NIA · WASHINGTON UNIVERSITY · PI JOHN MORRIS · 1985 to 2026
$69.5M
Vascular Moderators of the Impact of Alzheimer's Pathology in the Young-OldP01AG025204 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Ann D. Cohen · 2005 to 2026
$56.5M
The natural history of AB accumulation in preclinical ADP01AG026276 · NIA · WASHINGTON UNIVERSITY · PI MORRIS, JOHN · 2005 to 2025
$49.5M
GINKGO BILOBA PREVENTION TRIAL IN OLDER INDIVIDUALSU01AT000162 · NCCIH · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L. · 1999 to 2009
$34.7M
Research Education ComponentP30AG066468 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI C. Elizabeth Shaaban · 2020 to 2026
$29.4M
Research Education ComponentP30AG066444 · NIA · WASHINGTON UNIVERSITY · PI Susan Lynn Stark · 2020 to 2026
$28.7M
Subclinical vascular disease and AD pathology in the transition from midlife to old ageRF1AG052525 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LOPEZ, OSCAR L., REIS, STEVEN E · 2018 to 2018
$9.3M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyRF1AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI AIZENSTEIN, HOWARD J, VILLEMAGNE, VICTOR LUIS · 2014 to 2021
$9.0M
Genetic Architecture of Alzheimer’s disease ProteinopathiesR01AG064877 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI CRUCHAGA, CARLOS, KAMBOH, M. ILYAS · 2021 to 2024
$8.4M
Connectomics of Brain Aging and DementiaUF1AG051197 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI BECKER, JAMES T. · 2016 to 2018
$6.2M
Roles of Gray Matter Brain Aging and Small Vessel Disease in AD PathophysiologyR01AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI HOWARD J AIZENSTEIN, Victor Luis Villemagne · 2024 to 2026
$4.4M
AMYLOID PATHOLOGY AND COGNITION IN NORMAL ELDERLYR37AG025516 · NIA · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI KLUNK, WILLIAM E · 2005 to 2014
$4.3M
NCCIH NIH HHS U01 AT000162NIA NIH HHS P01 AG003991NIA NIH HHS P01 AG025204NIA NIH HHS P01 AG026276NIA NIH HHS P30 AG066444NIA NIH HHS P30 AG066468NIA NIH HHS R01 AG025516NIA NIH HHS R01 AG052446NIA NIH HHS R01 AG052521NIA NIH HHS R01 AG064877NIA NIH HHS R01AG064877NIA NIH HHS R37 AG025516NIA NIH HHS RF1 AG025516NIA NIH HHS RF1 AG052525NIA NIH HHS UF1 AG051197
6 · The paper itself

Abstract

Amyloid-PET imaging tracks the accumulation of amyloid beta (Aβ) deposits in the brain. Amyloid plaques accumulation may begin 10 to 20 years before the individual experiences clinical symptoms associated with Alzheimer's diseases (ad). Recent large-scale genome-wide association studies reported common risk factors associated with brain amyloidosis, suggesting that this endophenotype is driven by genetic variants. However, these loci pinpoint to large genomic regions and the functional variants remain to be identified. To identify new risk factors associated with brain amyloid deposition, we performed whole-genome sequencing on a large cohort of European descent individuals with amyloid PET imaging data (n = 1,888). Gene-based analysis for coding variants was performed using SKAT-O for amyloid PET as a quantitative endophenotype that identified genome-wide significant association for APOE (P = 2.45 × 10-10), and 26 new candidate genes with suggestive significance association (P < 5. 0 × 10-03) including SCN7A (P = 7.31 × 10-05), SH3GL1 (P = 7.56 × 10-04), and MFSD12 (P = 8.51 × 10-04). Enrichment analysis highlighted the lipid binding pathways as associated with Aβ deposition in brain driven by PITPNM3 (P = 4.27 × 10-03), APOE (P = 2.45 × 10-10), AP2A2 (P = 1.06 × 10-03), and SH3GL1 (P = 7.56 × 10-04). Overall, our data strongly support a connection between lipid metabolism and the deposition of Aβ in the brain. Our study illuminates promising avenues for therapeutic interventions targeting lipid metabolism to address brain amyloidosis.

Indexed as

Alzheimer DiseaseAmyloidosisApolipoproteins ELipid MetabolismAgedAmyloid beta-PeptidesBrainFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedPolymorphism, Single NucleotidePositron-Emission TomographyAmyloid beta-PeptidesApoE protein, humanApolipoproteins EAmyloid-PETAPOEBrain amyloidosisLipidWhole Genome Sequencing

Identifiers

PMID39927718
PMCPMC11973900

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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.