Evidence map›Paper›PMID 34566241›Full record

ArticleThe Canadian journal of statistics = Revue canadienne de statistique2021

A Structured Brain-wide and Genome-wide Association Study Using ADNI PET Images.

Yanming Li, Bin Nan, Ji Zhu, Alzheimer’s Disease Neuroimaging Initiative

Open access · greenAbstract read
In one paragraph

Article in The Canadian journal of statistics = Revue canadienne de statistique, 2021. 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, top 99% 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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Neuroimaging PheWAS and molecular phenotyping implicate PSMC3 in Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
    Article
  2. Neuroimaging PheWAS and molecular phenotyping implicatemedRxiv : the preprint server for health sciences · 2025
    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

4 authors at 3 institutions in 1 country.

Yanming LiDepartment of Biotatistics & Data Science, University of Kansas Medical Center Kansas City, KS 66160.
Bin NanDepartment of Statistics, University of California at Irvine Irvine, CA 92697.
Ji ZhuDepartment of Statistics, University of Michigan Ann Arbor, MI 48109.
Alzheimer’s Disease Neuroimaging Initiative
University of California, Irvine · USUniversity of Kansas Medical Center · USUniversity of Michigan · US

Funding

Cutting Edge Survival Methods for Epidemiological DataR01AG056764 · NIA · UNIVERSITY OF CALIFORNIA-IRVINE · PI NAN, BIN · 2018 to 2021
$1.3M
NIA NIH HHS R01 AG056764
6 · The paper itself

Abstract

A multi-stage variable selection method is introduced for detecting association signals in structured brain-wide and genome-wide association studies (brain-GWAS). Compared to conventional single-voxel-to-single-SNP approaches, our approach is more efficient and powerful in selecting the important signals by integrating anatomic and gene grouping structures in the brain and the genome, respectively. It avoids large number of multiple comparisons while effectively controls the false discoveries. Validity of the proposed approach is demonstrated by both theoretical investigation and numerical simulations. We apply the proposed method to a brain-GWAS using ADNI PET imaging and genomic data. We confirm previously reported association signals and also find several novel SNPs and genes that either are associated with brain glucose metabolism or have their association significantly modified by Alzheimer's disease status.

Indexed as

Brain-wide and genome-wide association studiesmultivariate sparse group lasso (MSGLasso)structured high-dimensional multivariate linear regressionultrahigh-dimensional predictorsultrahigh-dimensional responses

Identifiers

PMID34566241
PMCPMC8460073
OpenAlexW3129894561

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.