Evidence map›Paper›PMID 39496600›Full record

ArticleNature communications2024

Genetic risk factors underlying white matter hyperintensities and cortical atrophy.

Yash Patel, Jean Shin, Eeva Sliz, Ariana Tang, Aniket Mishra, Rui Xia, Edith Hofer, Hema Sekhar Reddy Rajula, Ruiqi Wang, Frauke Beyer and 30 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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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

40 authors.

Yash Patel *The Hospital for Sick Children, Toronto, Ontario, Canada.
Jean Shin *The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0001-7353-5178
Eeva SlizResearch Unit of Population Health, Faculty of Medicine, University of Oulu, Oulu, Finland.ORCID 0000-0002-2316-058X
Ariana TangThe Hospital for Sick Children, Toronto, Ontario, Canada.
Aniket MishraUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.ORCID 0000-0002-8141-1543
Rui XiaThe Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.
Edith HoferInstitut für Medizinische Informatik, Statistik und Dokumentation, Graz, Austria.
Hema Sekhar Reddy RajulaUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.
Ruiqi WangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-6894-1320
Frauke BeyerUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.ORCID 0000-0001-5401-852X
Katrin HornInstitute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany.ORCID 0000-0002-5307-6936
Max RiedlInstitute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany.
Jing YuDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0001-7752-9971
Henry VölzkeInstitute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
Robin BülowInstitute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0003-1884-5784
Uwe VölkerInterfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0002-5689-3448
Stefan FrenzelDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Katharina WittfeldDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.ORCID 0000-0003-4383-5043
Sandra Van der AuweraDepartment of Psychiatry and Psychotherapy, University Medicine Greifswald, Greifswald, Germany.
Thomas H MosleyThe MIND Center, The University of Mississippi Medical Center, Jackson, MS, USA.
Vincent BouteloupUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.
Jean-Charles LambertU1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, INSERM, CHU Lille, Institut Pasteur de Lille, University of Lille, Lille, France.ORCID 0000-0003-0829-7817
Geneviève ChêneUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.
Carole DufouilUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.ORCID 0000-0003-2442-4476
Christophe TzourioUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.ORCID 0000-0002-6517-2984
Jean-François ManginUniversité Paris-Saclay, CEA, CNRS, Neurospin, Baobab, Saclay, France.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke Intramural Research Program, Bethesda, Maryland, USA.
Myriam FornageThe Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston, Houston, TX, USA.ORCID 0000-0003-0677-8158
Reinhold SchmidtDivision of Neurogeriatrics, Department of Neurology, Medical University of Graz, Graz, Austria.
Qiong YangDepartment of Biostatistics, Boston University School of Public Health, Boston, MA, USA.ORCID 0000-0002-3658-1375
Veronica WitteMax Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany.ORCID 0000-0001-9054-6688
Markus ScholzInstitute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany.ORCID 0000-0002-4059-1779
Markus LoefflerInstitute for Medical Informatics, Statistics and Epidemiology; Leipzig University, Leipzig, Germany.
Gennady V RoshchupkinDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0002-3403-2313
M Arfan IkramDepartment of Epidemiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, The Netherlands.ORCID 0000-0003-0372-8585
Hans J GrabeInterfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald, Greifswald, Germany.
Sudha SeshadriUniversity of Texas, San Antonio, USA.ORCID 0000-0001-6135-2622
Stephanie DebetteUniversity of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219, Bordeaux, France.ORCID 0000-0001-8675-7968
Tomas PausCentre hospitalier universitaire Sainte-Justine, University of Montreal, Montreal, Canada. tomas.paus@umontreal.ca.ORCID 0000-0003-1495-9338
Zdenka PausovaThe Hospital for Sick Children, Toronto, Ontario, Canada. zdenka.pausova@montreal.ca.ORCID 0000-0002-7784-1380

Funding

ARIC Neurocognitive Study (ARIC-NCS) Renewal 2023-2028U01HL096812 · NHLBI · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI JOSEF CORESH, THOMAS H MOSLEY · 2010 to 2026
$65.7M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Gladys E. Maestre, Sudha Seshadri · 2021 to 2026
$24.0M
PRECURSORS OF STROKE INCIDENCE AND PROGNOSISR01NS017950 · NINDS · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Hugo Javier Aparicio, Jose Rafael Romero · 1985 to 2026
$22.9M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - COORDINATING CENTER - TASK AREA B.2 AND B.375N92022D00001 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID · 2022 to 2025
$13.7M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 2 of 5U01HL096917 · NHLBI · UNIVERSITY OF MISSISSIPPI MED CTR · PI MOSLEY, THOMAS H · 2010 to 2018
$11.9M
Therapeutic target discovery in ADSP data via comprehensive whole-genome analysis incorporating ethnic diversity and systems approachesU01AG058589 · NIA · BOSTON UNIVERSITY MEDICAL CAMPUS · PI BOERWINKLE, ERIC A., DE JAGER, PHILIP L · 2018 to 2022
$11.1M
ARIC Neurocognitive Study (ARIC-NCS) Renewal UNC 4 of 5U01HL096899 · NHLBI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI COUPER, DAVID J · 2010 to 2018
$7.5M
ARIC Neurocognitive Study (ARIC-NCS)U01HL096902 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA L. · 2010 to 2018
$7.4M
Genetics of deep-learning-derived neuroimaging endophenotypes for Alzheimer's Disease (Parent grant)U01AG070112 · NIA · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FORNAGE, MYRIAM, JI, SHUIWANG · 2021 to 2025
$7.2M
ARIC Neurocognitive Study (ARIC-NCS) Renewal 4 of 5U01HL096814 · NHLBI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI HUGHES, TIMOTHY M., WAGENKNECHT, LYNNE E · 2010 to 2018
$6.5M
Cognitively Healthy Nonagenarians in the Cross Cohort Collaboration (CCC)RF1AG059421 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI SESHADRI, SUDHA · 2018 to 2018
$6.1M
THE ATHEROSCLEROSIS RISK IN COMMUNITIES (ARIC) STUDY - FIELD CENTER - TASK ORDER 01, TASK AREA A75N92022D00003 · NHLBI · UNIVERSITY OF MINNESOTA · PI LUTSEY, PAMELA · 2022 to 2025
$5.1M
NHLBI NIH HHS 75N92022D00001NHLBI NIH HHS 75N92022D00002NHLBI NIH HHS 75N92022D00003NHLBI NIH HHS 75N92022D00004NHLBI NIH HHS 75N92022D00005NHLBI NIH HHS U01 HL096812NHLBI NIH HHS U01 HL096814NHLBI NIH HHS U01 HL096899NHLBI NIH HHS U01 HL096902NHLBI NIH HHS U01 HL096917NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG056726NIA NIH HHS RF1 AG059421NIA NIH HHS U01 AG058589NIA NIH HHS U01 AG070112NINDS NIH HHS R01 NS017950
6 · The paper itself

Abstract

White matter hyperintensities index structural abnormalities in the cerebral white matter, including axonal damage. The latter may promote atrophy of the cerebral cortex, a key feature of dementia. Here, we report a study of 51,065 individuals from 10 cohorts demonstrating that higher white matter hyperintensity volume associates with lower cortical thickness. The meta-GWAS of white matter hyperintensities-associated cortical 'atrophy' identifies 20 genome-wide significant loci, and enrichment in genes specific to vascular cell types, astrocytes, and oligodendrocytes. White matter hyperintensities-associated cortical 'atrophy' showed positive genetic correlations with vascular-risk traits and plasma biomarkers of neurodegeneration, and negative genetic correlations with cognitive functioning. 15 of the 20 loci regulated the expression of 54 genes in the cerebral cortex that, together with their co-expressed genes, were enriched in biological processes of axonal cytoskeleton and intracellular transport. The white matter hyperintensities-cortical thickness associations were most pronounced in cortical regions with higher expression of genes specific to excitatory neurons with long-range axons traversing through the white matter. The meta-GWAS-based polygenic risk score predicts vascular and all-cause dementia in an independent sample of 500,348 individuals. Thus, the genetics of white matter hyperintensities-related cortical atrophy involves vascular and neuronal processes and increases dementia risk.

Indexed as

AtrophyCerebral CortexGenome-Wide Association StudyWhite MatterAgedAged, 80 and overCohort StudiesDementiaFemaleGenetic Predisposition to DiseaseHumansMagnetic Resonance ImagingMaleMiddle AgedPolymorphism, Single NucleotideRisk Factors

Identifiers

PMID39496600
PMCPMC11535513

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