Evidence map›Paper›PMID 36744333›Full record

ArticleJournal of Alzheimer's disease : JAD2023

Liver-Specific Polygenic Risk Score Is Associated with Alzheimer's Disease Diagnosis.

Daniel J Panyard, Yuetiva K Deming, Burcu F Darst, Carol A Van Hulle, Henrik Zetterberg, Kaj Blennow, Gwendlyn Kollmorgen, Ivonne Suridjan, Cynthia M Carlsson, Sterling C Johnson and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of Alzheimer's disease : JAD, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

6 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Addressing overfitting bias due to sample overlap in polygenic risk scoring.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  4. Article
  5. Article
  6. Article
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

13 authors at 6 institutions in 5 countries.

Daniel J PanyardDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Yuetiva K DemingDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Burcu F DarstCenter for Genetic Epidemiology, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA.
Carol A Van HulleWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.
Henrik ZetterbergDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Kaj BlennowDepartment of Psychiatry and Neurochemistry, Institute of Neuroscience and Physiology, the Sahlgrenska Academy at the University of Gothenburg, Mölndal, Sweden.
Gwendlyn KollmorgenRoche Diagnostics GmbH, Penzberg, Germany.
Ivonne SuridjanRoche Diagnostics International Ltd., Rotkreuz, Switzerland.
Cynthia M CarlssonWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.
Sterling C JohnsonWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.
Sanjay AsthanaWisconsin Alzheimer's Disease Research Center, University of Wisconsin-Madison, Madison, WI, USA.
Corinne D EngelmanDepartment of Population Health Sciences, University of Wisconsin-Madison, Madison, WI, USA.
Qiongshi LuDepartment of Biostatistics and Medical Informatics, University of Wisconsin-Madison, Madison, WI, USA.
University of Wisconsin–Madison · USRoche Pharma AG (Germany) · DERoche (Switzerland) · CHSahlgrenska University Hospital · SEUniversity College London · GBUniversity of Southern California · US

Funding

University of Wisconsin Institute for Clinical and Translational ResearchUL1TR002373 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI ELIZABETH S BURNSIDE, Allan R. Brasier · 2017 to 2026
$75.9M
Wisconsin Registry for Alzheimer's Prevention: Sex Differences in DNA MethylationR01AG027161 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Nathaniel Ark Chin, Sterling C Johnson · 2007 to 2026
$35.6M
Wisconsin Alzheimer's Disease Research CenterP30AG062715 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Barbara Brigitta Bendlin · 2019 to 2026
$34.5M
Institutional Clinical and Translational Science AwardUL1TR000427 · NCATS · UNIVERSITY OF WISCONSIN-MADISON · PI DREZNER, MARC KENNETH · 2012 to 2016
$32.2M
Research Training for Computation and Informatics in Biology and MedicineT15LM007359 · NLM · UNIVERSITY OF WISCONSIN-MADISON · PI Mark W. Craven, Colin Noel Dewey · 2002 to 2026
$22.6M
Statistical Data Enclave CoreP30AG017266 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Michal Engelman · 1999 to 2026
$17.0M
Wisconsin Alzheimer's Disease Research CenterP50AG033514 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI SAGER, MARK · 2009 to 2018
$16.2M
Biology of Aging and Age-Related Diseases Training GrantT32AG000213 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI Rozalyn M. Anderson, Sanjay Asthana · 1991 to 2026
$9.9M
Center for Demography and EcologyR24HD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI RAYMO, JAMES M · 2004 to 2013
$7.2M
White matter degeneration: biomarkers in preclinical Alzheimer's DiseaseR01AG037639 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI BENDLIN, BARBARA BRIGITTA · 2012 to 2023
$5.3M
Scientific and Technical CoreP2CHD047873 · NICHD · UNIVERSITY OF WISCONSIN-MADISON · PI Katherine J. Curtis · 2014 to 2026
$5.1M
Genomic and Metabolomic Data Integration in a Longitudinal Cohort at Risk for Alzheimer's DiseaseRF1AG054047 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI ENGELMAN, CORINNE D. · 2022 to 2025
$3.8M
NCATS NIH HHS UL1 TR000427NCATS NIH HHS UL1 TR002373NHLBI NIH HHS T32 HL083806NIA NIH HHS P30 AG017266NIA NIH HHS P30 AG062715NIA NIH HHS P50 AG033514NIA NIH HHS R01 AG027161NIA NIH HHS R01 AG037639NIA NIH HHS R01 AG054047NIA NIH HHS R01 AG068398NIA NIH HHS R21 AG067092NIA NIH HHS RF1 AG054047NIA NIH HHS T32 AG000213NICHD NIH HHS P2C HD047873NICHD NIH HHS R24 HD047873NLM NIH HHS T15 LM007359NLM NIH HHS T32 LM012413
6 · The paper itself

Abstract

backgroundOur understanding of the pathophysiology underlying Alzheimer's disease (AD) has benefited from genomic analyses, including those that leverage polygenic risk score (PRS) models of disease. The use of functional annotation has been able to improve the power of genomic models.

objectiveWe sought to leverage genomic functional annotations to build tissue-specific AD PRS models and study their relationship with AD and its biomarkers.

methodsWe built 13 tissue-specific AD PRS and studied the scores' relationships with AD diagnosis, cerebrospinal fluid (CSF) amyloid, CSF tau, and other CSF biomarkers in two longitudinal cohort studies of AD.

resultsThe AD PRS model that was most predictive of AD diagnosis (even without APOE) was the liver AD PRS: n = 1,115; odds ratio = 2.15 (1.67-2.78), p = 3.62×10-9. The liver AD PRS was also statistically significantly associated with cerebrospinal fluid biomarker evidence of amyloid-β (Aβ42:Aβ40 ratio, p = 3.53×10-6) and the phosphorylated tau:amyloid-β ratio (p = 1.45×10-5).

conclusionThese findings provide further evidence of the role of the liver-functional genome in AD and the benefits of incorporating functional annotation into genomic research.

Indexed as

Alzheimer DiseaseLiverMultifactorial InheritanceAdultAgedAmyloid beta-PeptidesBiomarkersGenome, HumanGenomicsHumansLongitudinal StudiesMiddle AgedModels, GeneticOrgan SpecificityRisk Factorstau ProteinsAmyloid beta-PeptidesBiomarkersMAPT protein, humantau ProteinsAlzheimer’s diseasecerebrospinal fluid biomarkersfunctional annotationliverpolygenic risk score

Identifiers

PMID36744333
PMCPMC10050104
OpenAlexW4319074607

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.