Automated Author Profile

Shin, Jean

0000-0001-7353-5178

Current S-Index

2.9

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.5

Average Dataset Index per dataset

Total Datasets

6

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Genetic risk factors underlying white matter hyperintensities and cortical atrophy

This page provides two files containing the summary statistics for meta-analyses of genome-wide association studies of white-matter hyperintensities (WMH):
metaGWAS_PC1_WMH_insulaTH_20241003.txt.gz: For the primary GWAS with cortical thickness in the insular region (insulaTH), and metaGWAS_PC1_WMH_MCT_20241003: For the global mean cortical thickness (MCT) used in the sensitivity analyses.
The measurements are based on the first principal component of WMH vs. insulaTH and vs. MCT, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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. Fifteen 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.270383202024

White matter hyperintensities and cortical atrophy: genetic risk factors and underlying neurobiology

This page provides summary statistics for a genome-wide association study on white-matter hyperintensities (WMH) and related cortical thickness (CtxTH) atrophy. The measurements are based on the first principal component of WMH and CtxTH, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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 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. Fifteen 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 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.27038320.v12024

White matter hyperintensities and cortical atrophy: genetic risk factors and underlying neurobiology

This page provides summary statistics for a genome-wide association study on white-matter hyperintensities (WMH) and related cortical thickness (CtxTH) in the insular region. The measurements are based on the first principal component of WMH and CtxTH, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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 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. Fifteen 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 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.27038320.v22024

Genetic risk factors underlying white matter hyperintensities and cortical atrophy

This page provides summary statistics for a genome-wide association study on white-matter hyperintensities (WMH) and related cortical thickness (CtxTH) in the insular region. The measurements are based on the first principal component of WMH and CtxTH, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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. Fifteen 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.4 Dataset Index
10.6084/m9.figshare.27038320.v32024

Genetic risk factors underlying white matter hyperintensities and cortical atrophy

This page provides two files containing the summary statistics for meta-analyses of genome-wide association studies of white-matter hyperintensities (WMH):
metaGWAS_PC1_WMH_insulaTH_20241003.txt.gz: For the primary GWAS with cortical thickness in the insular region (insulaTH), and metaGWAS_PC1_WMH_MCT_20241003: For the global mean cortical thickness (MCT) used in the sensitivity analyses.
The measurements are based on the first principal component of WMH vs. insulaTH and vs. MCT, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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. Fifteen 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.27038320.v42024

Genetic risk factors underlying white matter hyperintensities and cortical atrophy

This page provides two files containing the summary statistics for meta-analyses of genome-wide association studies of white-matter hyperintensities (WMH):
metaGWAS_PC1_WMH_insulaTH_20241003.txt.gz: For the primary GWAS with cortical thickness in the insular region (insulaTH), and metaGWAS_PC1_WMH_MCT_20241003: For the global mean cortical thickness (MCT) used in the sensitivity analyses.
The measurements are based on the first principal component of WMH vs. insulaTH and vs. MCT, involving participants from European ancestry in the CHARGE consortium and the UK Biobank (UK Biobank Project 43688).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. Fifteen 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.

Authors

  • Patel, Yash ;
  • Shin, Jean ;
  • Sliz, Eeva ;
  • Tang, Ariana ;
  • Mishra, Aniket ;
  • Xia, Rui ;
  • Hofer, Edith ;
  • Rajula, Hema Sekhar Reddy ;
  • Wang, Ruiqi ;
  • Beyer, Frauke ;
  • Horn, Katrin ;
  • Riedl, Max ;
  • Yu, Jing ;
  • Völzke, Henry ;
  • Bülow, Robin ;
  • Völker, Uwe ;
  • Frenzel, Stefan ;
  • Wittfeld, Katharina ;
  • Van der Auwera, Sandra ;
  • Mosley, Thomas H. ;
  • Bouteloup, Vincent ;
  • Lambert, Jean-Charles ;
  • Chêne, Geneviève ;
  • Dufouil, Carole ;
  • Tzourio, Christophe ;
  • Mangin, Jean-François ;
  • F. Gottesman, Rebecca ;
  • Fornage, Myriam ;
  • Schmidt, Reinhold ;
  • Yang, Qiong ;
  • Witte, Veronica ;
  • Scholz, Markus ;
  • Loeffler, Markus ;
  • Roshchupkin, Gennady V ;
  • Arfan Ikram, M. ;
  • Grabe, Hans J. ;
  • Seshadri, Sudha ;
  • Debette, Stephanie ;
  • Paus, Tomas ;
  • Pausova, Zdenka
0 Citations0 Mentions85% FAIR0.5 Dataset Index
10.6084/m9.figshare.27038320.v52024