Evidence map›Paper›PMID 34387340›Full record

ArticleHuman molecular genetics2021

A transcriptome-wide association study identifies novel blood-based gene biomarker candidates for Alzheimer's disease risk.

Yanfa Sun, Dan Zhou, Md Rezanur Rahman, Jingjing Zhu, Dalia Ghoneim, Nancy J Cox, Thomas G Beach, Chong Wu, Eric R Gamazon, Lang Wu

Abstract read
In one paragraph

Article in Human molecular genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

10 authors.

Yanfa SunDepartment of Animal Science and Veterinary Medicine, College of Life Science, Longyan University, Longyan, Fujian, 364012, P.R. China.
Dan ZhouVanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Md Rezanur RahmanQueensland Brain Institute, The University of Queensland, Brisbane, Qld 4072, Australia.
Jingjing ZhuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
Dalia GhoneimCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.
Nancy J CoxVanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Thomas G BeachBanner Sun Health Research Institute, Sun City, AZ 85351, USA.
Chong WuDepartment of Statistics, Florida State University, Tallahassee, FL 32306, USA.
Eric R GamazonVanderbilt Genetics Institute and Division of Genetic Medicine, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37232, USA.
Lang WuCancer Epidemiology Division, Population Sciences in the Pacific Program, University of Hawaii Cancer Center, University of Hawaii at Manoa, Honolulu, HI 96813, USA.

Funding

Analysis, Validation and Resource Creation for Genome Sequencing of Complex DiseasesU01HG009086 · NHGRI · VANDERBILT UNIVERSITY · PI COX, NANCY J, LI, BINGSHAN · 2016 to 2020
$4.3M
Haplotype-aware models of gene and isoform expression with application to genetic studies of disease in diverse populationsR01GM140287 · NIGMS · SEATTLE CHILDREN'S HOSPITAL · PI GAMAZON, ERIC R, MOHAMMADI, PEJMAN · 2021 to 2024
$2.8M
Functional Genomics: A Phenome-wide SurveyR35HG010718 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2019 to 2023
$2.2M
Advancing Multi-Omics and Electronic Health Records Computational MethodologiesR01HG011138 · NHGRI · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2020 to 2024
$1.6M
Advancing drug repositioning and development for Alzheimer's Disease using functional genomics and computational phenomicsR56AG068026 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI GAMAZON, ERIC R · 2021 to 2022
$1.5M
NHGRI NIH HHS R01 HG011138NHGRI NIH HHS R35 HG010718NHGRI NIH HHS U01 HG009086NIA NIH HHS R56 AG068026NIGMS NIH HHS R01 GM140287
6 · The paper itself

Abstract

Alzheimer's disease (ad) adversely affects the health, quality of life and independence of patients. There is a critical need to identify novel blood gene biomarkers for ad risk assessment. We performed a transcriptome-wide association study to identify biomarker candidates for ad risk. We leveraged two sets of gene expression prediction models of blood developed using different reference panels and modeling strategies. By applying the prediction models to a meta-GWAS including 71 880 (proxy) cases and 383 378 (proxy) controls, we identified significant associations of genetically determined expression of 108 genes in blood with ad risk. Of these, 15 genes were differentially expressed between ad patients and controls with concordant directions in measured expression data. With evidence from the analyses based on both genetic instruments and directly measured expression levels, this study identifies 15 genes with strong support as biomarkers in blood for ad risk, which may enhance ad risk assessment and mechanism-focused studies.

Indexed as

Alzheimer DiseaseGenetic MarkersGenome-Wide Association StudyHumansPolymorphism, Single NucleotideQuality of LifeTranscriptomeGenetic Markers

Identifiers

PMID34387340
PMCPMC8831284

What Socratic holds

Textmetadata
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 Socratic graph.