Evidence map›Paper›PMID 32768867›Full record

ArticleNeurobiology of aging2020

Volumetric GWAS of medial temporal lobe structures identifies an ERC1 locus using ADNI high-resolution T2-weighted MRI data.

Shan Cong, Xiaohui Yao, Zhi Huang, Shannon L Risacher, Kwangsik Nho, Andrew J Saykin, Li Shen, UK Brain Expression Consortium, Alzheimer’s Disease Neuroimaging Initiative

Open access · greenAbstract read
In one paragraph

Article in Neurobiology of aging, 2020. 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
1.1field-weighted citation impact, top 23% 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, 12 citations in OpenAlex.

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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

9 authors at 3 institutions in 1 country.

Shan CongDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Xiaohui YaoDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA.
Zhi HuangSchool of Electrical and Computer Engineering, Purdue University, West Lafayette, IN, USA.
Shannon L RisacherDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Kwangsik NhoDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Andrew J SaykinDepartment of Radiology and Imaging Sciences, Indiana University School of Medicine, Indianapolis, IN, USA.
Li ShenDepartment of Biostatistics, Epidemiology and Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA. Electronic address: li.shen@pennmedicine.upenn.edu.
UK Brain Expression Consortium
Alzheimer’s Disease Neuroimaging Initiative
Indiana University School of MedicinePurdue University West Lafayette · USUniversity of Pennsylvania · US

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI Leslie Michael Shaw · 2016 to 2026
$226.7M
Research Education ComponentP30AG010133 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI GHETTI, BERNARDINO FRANCESCO · 1991 to 2020
$37.3M
Memory Circuitry in MCI and Early Alzheimer’s Disease Prodrome: Molecular DriversR01AG019771 · NIA · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI SAYKIN, ANDREW J · 2001 to 2021
$6.9M
Advancing Analysis of Multi-omics Data in Alzheimer's Disease ResearchRF1AG063481 · NIA · UNIVERSITY OF PENNSYLVANIA · PI LONG, QI · 2019 to 2020
$3.8M
Integrative Bioinformatics Approaches to Human Brain Genomics and ConnectomicsR01EB022574 · NIBIB · UNIVERSITY OF PENNSYLVANIA · PI SHEN, LI · 2016 to 2019
$1.9M
Assessing ASL CBF as a biomarker for early Alzheimer's disease detection and disease progressionR01AG060054 · NIA · UNIVERSITY OF MARYLAND BALTIMORE · PI WANG, ZE · 2019 to 2021
$1.7M
Integrating Neuroimaging, Multi-omics, and Clinical Data in Complex DiseaseR01LM012535 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2021
$1.7M
Bioinformatics Strategies for Multidimensional Brain Imaging GeneticsR01LM011360 · NLM · INDIANA UNIVERSITY INDIANAPOLIS · PI MOORE, JASON H., SAYKIN, ANDREW J · 2012 to 2015
$1.4M
Sensory and Perceptual Measures as Biomarkers of Alzheimer's Disease PathologyK01AG049050 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI RISACHER, SHANNON L · 2015 to 2019
$612k
Neurogenesis in Adult Brain: Gene Networks and Alzheimer’s DiseaseR03AG054936 · NIA · INDIANA UNIVERSITY INDIANAPOLIS · PI NHO, KWANGSIK TIMOTHY · 2017 to 2018
$145k
NIA NIH HHS K01 AG049050NIA NIH HHS P30 AG010133NIA NIH HHS R01 AG019771NIA NIH HHS R01 AG060054NIA NIH HHS R03 AG054936NIA NIH HHS RF1 AG063481NIA NIH HHS U19 AG024904NIBIB NIH HHS R01 EB022574NLM NIH HHS R01 LM011360NLM NIH HHS R01 LM012535
6 · The paper itself

Abstract

Medial temporal lobe (MTL) consists of hippocampal subfields and neighboring cortices. These heterogeneous structures are differentially involved in memory, cognitive and emotional functions, and present nonuniformly distributed atrophy contributing to cognitive disorders. This study aims to examine how genetics influences Alzheimer's disease (AD) pathogenesis via MTL substructures by analyzing high-resolution magnetic resonance imaging (MRI) data. We performed genome-wide association study to examine the associations between 565,373 single nucleotide polymorphisms (SNPs) and 14 MTL substructure volumes. A novel association with right Brodmann area 36 volume was discovered in an ERC1 SNP (i.e., rs2968869). Further analyses on larger samples found rs2968869 to be associated with gray matter density and glucose metabolism measures in the right hippocampus, and disease status. Tissue-specific transcriptomic analysis identified the minor allele of rs2968869 (rs2968869-C) to be associated with reduced ERC1 expression in the hippocampus. All the findings indicated a protective role of rs2968869-C in AD. We demonstrated the power of high-resolution MRI and the promise of fine-grained MTL substructures for revealing the genetic basis of AD biomarkers.

Indexed as

Adaptor Proteins, Signal TransducingAllelesAlzheimer DiseaseDiffusion Magnetic Resonance ImagingGene ExpressionGenetic LociGenome-Wide Association StudyHumansImage EnhancementNerve Tissue ProteinsOrgan SizePolymorphism, Single NucleotideTemporal LobeTranscriptomeAdaptor Proteins, Signal TransducingERC1 protein, humanNerve Tissue ProteinsAlzheimer’s diseaseBA36ERC1Genome-wide association study (GWAS)High-resolution T2-weighted MRIMedial temporal lobe

Identifiers

PMID32768867
PMCPMC7609616
OpenAlexW3043633174

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.