Evidence map›Paper›PMID 37333116›Full record

ArticlebioRxiv : the preprint server for biology2023

An X Chromosome Transcriptome Wide Association Study Implicates ARMCX6 in Alzheimer's Disease.

Xueyi Zhang, Lissette Gomez, Jennifer Below, Adam Naj, Eden Martin, Brian Kunkle, William S Bush

Open access · greenAbstract readPreprint
PubMed Full text at PMC Publisher
In one paragraph

Article in bioRxiv : the preprint server for biology, 2023. 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, 0 citations in OpenAlex.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 4 institutions in 1 country.

Xueyi ZhangDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, 44106, USA.
Lissette GomezJohn P. Hussman Institute for Human Genomics, Miller School of Medicine, University of Miami, Miami, FL, 33136, USA.
Jennifer BelowVanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, 37235, USA.
Adam NajDepartment of Biostatistics, Epidemiology, and Informatics, Penn Neurodegeneration Genomics Center, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA; Department of Pathology and Laboratory Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, 19104, USA.
Eden MartinJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, 33176, USA.
Brian KunkleJohn P. Hussman Institute for Human Genomics, University of Miami Miller School of Medicine, Miami, 33176, USA.
William S BushDepartment of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, 44106, USA.
University of Miami · USCase Western Reserve University · USUniversity of Pennsylvania · USVanderbilt University · US

Funding

Genetic Drivers of Resilience to Alzheimer's DiseaseR01AG059716 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI HOHMAN, TIMOTHY J · 2018 to 2022
$4.4M
Integrative Genomic Approaches for Understanding Sex Differences in Alzheimer's DiseaseR01AG062634 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI KUNKLE, BRIAN WILLIAM, MARTIN, EDEN R. · 2019 to 2023
$3.8M
Functional genetic analyses of existing data resources to expand AD gene discoveryRF1AG061351 · NIA · VANDERBILT UNIVERSITY MEDICAL CENTER · PI BELOW, JENNIFER, BUSH, WILLIAM S · 2019 to 2019
$3.0M
Genomic, Epigenomic, and Transcriptomic Mechanisms of Contributing to Alzheimer's Disease Risk in Diverse Ancestral PopulationsRF1AG070935 · NIA · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI BUSH, WILLIAM S, GRISWOLD, ANTHONY JOHN · 2021 to 2021
$2.3M
NIA NIH HHS R01 AG059716NIA NIH HHS R01 AG062634NIA NIH HHS RF1 AG061351NIA NIH HHS RF1 AG070935
6 · The paper itself

Abstract

Background: The X chromosome is often omitted in disease association studies despite containing thousands of genes which may provide insight into well-known sex differences in the risk of Alzheimer's Disease. Objective: To model the expression of X chromosome genes and evaluate their impact on Alzheimer's Disease risk in a sex-stratified manner. Methods: Using elastic net, we evaluated multiple modeling strategies in a set of 175 whole blood samples and 126 brain cortex samples, with whole genome sequencing and RNA-seq data. SNPs (MAF>0.05) within the Results: Across different model parameters, sample sex, and tissue types, we modeled the expression of 217 genes (95 genes in blood and 135 genes in brain cortex). The average model R Conclusions: We optimized the expression prediction of X chromosome genes, applied these models to sex-stratified AD GWAS summary statistics, and identified one putative AD risk gene,

Indexed as

Alzheimer’s diseaseBioinformaticsElastic Net RegressionGene ExpressionGene PredictionSex DifferencesTranscriptomeX Chromosome

Identifiers

PMID37333116
PMCPMC10274627
OpenAlexW4379874963

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.