Evidence map›Paper›PMID 33541420›Full record

ArticleAlzheimer's research & therapy2021

Multi-trait association studies discover pleiotropic loci between Alzheimer's disease and cardiometabolic traits.

William P Bone, Katherine M Siewert, Anupama Jha, Derek Klarin, Scott M Damrauer, VA Million Veteran Program, Kyong-Mi Chang, Philip S Tsao, Themistocles L Assimes, Marylyn D Ritchie and 1 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
4.2field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 34 citations in OpenAlex.

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  14. Cross-phenotype associations between Alzheimer's Disease and its comorbidities may provide clues to progression.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2024
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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

11 authors at 6 institutions in 1 country.

William P BoneGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Katherine M SiewertGenomics and Computational Biology Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Anupama JhaDepartment of Computer and Information Science, School of Engineering and Applied Science, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Derek KlarinBoston VA Healthcare System, Boston, MA, 02130, USA.
Scott M DamrauerDepartment of Medicine, Perelman School of Medicine, University of Pennsylvania, PA, 19104, Philadelphia, USA.
VA Million Veteran Program
Kyong-Mi ChangCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, 19104, USA.
Philip S TsaoVA Palo Alto Health Care System, Palo Alto, CA, 94550, USA.
Themistocles L AssimesVA Palo Alto Health Care System, Palo Alto, CA, 94550, USA.
Marylyn D RitchieDepartment of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA.
Benjamin F VoightCorporal Michael Crescenz VA Medical Center, Philadelphia, PA, 19104, USA. bvoight@pennmedicine.upenn.edu.ORCID 0000-0002-6205-9994
University of Pennsylvania · USVA Palo Alto Health Care System · USPhiladelphia VA Medical Center · USBroad Institute · USHarvard University · USTranslational Therapeutics (United States) · US

Funding

Pharmacogenomics of Statin TherapyP50GM115318 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI KRAUSS, RONALD M, LUSIS, ALDONS JAKE · 2015 to 2019
$14.0M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR01DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2014 to 2018
$2.9M
Algorithms to identify non-coding mutational burden and disease-relevant pathwaysR56DK101478 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VOIGHT, BENJAMIN FRANKLIN · 2019 to 2019
$272k
Genetics of Cardiometabolic Diseases in the VA PopulationI01BX003362 · VA · VETERANS ADMIN PALO ALTO HEALTH CARE SYS · PI Kyong-Mi Chang, Philip S Tsao · 2017 to 2026
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Precision Cardio-Metabolic Phenotyping for Genetic Discovery and Risk PredictionIK2CX001780 · VA · PHILADELPHIA VA MEDICAL CENTER · PI DAMRAUER, SCOTT MICHAEL · 2018 to 2023
–
BLRD VA I01 BX003362CSRD VA IK2 CX001780NIDDK NIH HHS R01 DK101478NIDDK NIH HHS R56 DK101478NIGMS NIH HHS P50 GM115318
6 · The paper itself

Abstract

backgroundIdentification of genetic risk factors that are shared between Alzheimer's disease (AD) and other traits, i.e., pleiotropy, can help improve our understanding of the etiology of AD and potentially detect new therapeutic targets. Previous epidemiological correlations observed between cardiometabolic traits and AD led us to assess the pleiotropy between these traits.

methodsWe performed a set of bivariate genome-wide association studies coupled with colocalization analysis to identify loci that are shared between AD and eleven cardiometabolic traits. For each of these loci, we performed colocalization with Genotype-Tissue Expression (GTEx) project expression quantitative trait loci (eQTL) to identify candidate causal genes.

resultsWe identified three previously unreported pleiotropic trait associations at known AD loci as well as four novel pleiotropic loci. One associated locus was tagged by a low-frequency coding variant in the gene DOCK4 and is potentially implicated in its alternative splicing. Colocalization with GTEx eQTL data identified additional candidate genes for the loci we detected, including ACE, the target of the hypertensive drug class of ACE inhibitors. We found that the allele associated with decreased ACE expression in brain tissue was also associated with increased risk of AD, providing human genetic evidence of a potential increase in AD risk from use of an established anti-hypertensive therapeutic.

conclusionOur results support a complex genetic relationship between AD and these cardiometabolic traits, and the candidate causal genes identified suggest that blood pressure and immune response play a role in the pleiotropy between these traits.

Indexed as

Alzheimer DiseaseCardiovascular DiseasesGenetic Predisposition to DiseaseGenome-Wide Association StudyHumansPhenotypePolymorphism, Single NucleotideCardiometabolic traitsColocalizationMulti-trait GWASPleiotropy

Identifiers

PMID33541420
PMCPMC7860582
OpenAlexW3128596874

What OpenQuestion holds

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Registered trials

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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.