Nature Communications (Nov 2024)
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,
- Katrin Horn,
- Max Riedl,
- Jing Yu,
- Henry Völzke,
- Robin Bülow,
- Uwe Völker,
- Stefan Frenzel,
- Katharina Wittfeld,
- Sandra Van der Auwera,
- Thomas H. Mosley,
- Vincent Bouteloup,
- Jean-Charles Lambert,
- Geneviève Chêne,
- Carole Dufouil,
- Christophe Tzourio,
- Jean-François Mangin,
- Rebecca F. Gottesman,
- Myriam Fornage,
- Reinhold Schmidt,
- Qiong Yang,
- Veronica Witte,
- Markus Scholz,
- Markus Loeffler,
- Gennady V. Roshchupkin,
- M. Arfan Ikram,
- Hans J. Grabe,
- Sudha Seshadri,
- Stephanie Debette,
- Tomas Paus,
- Zdenka Pausova
Affiliations
- Yash Patel
- The Hospital for Sick Children, Toronto
- Jean Shin
- The Hospital for Sick Children, Toronto
- Eeva Sliz
- Research Unit of Population Health, Faculty of Medicine, University of Oulu
- Ariana Tang
- The Hospital for Sick Children, Toronto
- Aniket Mishra
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Rui Xia
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston
- Edith Hofer
- Institut für Medizinische Informatik, Statistik und Dokumentation
- Hema Sekhar Reddy Rajula
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Ruiqi Wang
- Department of Biostatistics, Boston University School of Public Health
- Frauke Beyer
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Katrin Horn
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University
- Max Riedl
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University
- Jing Yu
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam
- Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald
- Robin Bülow
- Institute of Diagnostic Radiology and Neuroradiology, University Medicine Greifswald
- Uwe Völker
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald
- Stefan Frenzel
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald
- Katharina Wittfeld
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald
- Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald
- Thomas H. Mosley
- The MIND Center, The University of Mississippi Medical Center
- Vincent Bouteloup
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Jean-Charles Lambert
- U1167-RID-AGE facteurs de risque et déterminants moléculaires des maladies liées au vieillissement, INSERM, CHU Lille, Institut Pasteur de Lille, University of Lille
- Geneviève Chêne
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Carole Dufouil
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Christophe Tzourio
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Jean-François Mangin
- Université Paris-Saclay, CEA, CNRS, Neurospin, Baobab
- Rebecca F. Gottesman
- National Institute of Neurological Disorders and Stroke Intramural Research Program
- Myriam Fornage
- The Brown Foundation Institute of Molecular Medicine, McGovern Medical School, The University of Texas Health Science Center at Houston
- Reinhold Schmidt
- Division of Neurogeriatrics, Department of Neurology, Medical University of Graz
- Qiong Yang
- Department of Biostatistics, Boston University School of Public Health
- Veronica Witte
- Max Planck Institute for Human Cognitive and Brain Sciences
- Markus Scholz
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University
- Markus Loeffler
- Institute for Medical Informatics, Statistics and Epidemiology; Leipzig University
- Gennady V. Roshchupkin
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam
- M. Arfan Ikram
- Department of Epidemiology, Erasmus MC University Medical Center Rotterdam
- Hans J. Grabe
- Interfaculty Institute of Genetics and Functional Genomics, University Medicine Greifswald
- Sudha Seshadri
- University of Texas
- Stephanie Debette
- University of Bordeaux, INSERM, Bordeaux Population Health research center, UMR1219
- Tomas Paus
- Centre hospitalier universitaire Sainte-Justine, University of Montreal
- Zdenka Pausova
- The Hospital for Sick Children, Toronto
- DOI
- https://doi.org/10.1038/s41467-024-53689-1
- Journal volume & issue
-
Vol. 15,
no. 1
pp. 1 – 11
Abstract
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.