Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration
Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, g...
Ausführliche Beschreibung
Autor*in: |
McMillan, Corey T. [verfasserIn] |
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E-Artikel |
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Englisch |
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2014transfer abstract |
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Umfang: |
10 |
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Übergeordnetes Werk: |
Enthalten in: Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors - Zidane, Mustapha ELSEVIER, 2021, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:35 ; year:2014 ; number:6 ; pages:1473-1482 ; extent:10 |
Links: |
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DOI / URN: |
10.1016/j.neurobiolaging.2013.11.029 |
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ELV022572538 |
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245 | 1 | 0 | |a Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration |
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520 | |a Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. | ||
520 | |a Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. | ||
650 | 7 | |a Neuroimaging |2 Elsevier | |
650 | 7 | |a Biomarkers |2 Elsevier | |
650 | 7 | |a Frontotemporal lobar degeneration |2 Elsevier | |
650 | 7 | |a Genetics |2 Elsevier | |
700 | 1 | |a Toledo, Jon B. |4 oth | |
700 | 1 | |a Avants, Brian B. |4 oth | |
700 | 1 | |a Cook, Philip A. |4 oth | |
700 | 1 | |a Wood, Elisabeth M. |4 oth | |
700 | 1 | |a Suh, Eunran |4 oth | |
700 | 1 | |a Irwin, David J. |4 oth | |
700 | 1 | |a Powers, John |4 oth | |
700 | 1 | |a Olm, Christopher |4 oth | |
700 | 1 | |a Elman, Lauren |4 oth | |
700 | 1 | |a McCluskey, Leo |4 oth | |
700 | 1 | |a Schellenberg, Gerard D. |4 oth | |
700 | 1 | |a Lee, Virginia M.-Y. |4 oth | |
700 | 1 | |a Trojanowski, John Q. |4 oth | |
700 | 1 | |a Van Deerlin, Vivianna M. |4 oth | |
700 | 1 | |a Grossman, Murray |4 oth | |
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10.1016/j.neurobiolaging.2013.11.029 doi GBVA2014007000027.pica (DE-627)ELV022572538 (ELSEVIER)S0197-4580(13)00613-1 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 520 VZ 38.70 bkl 39.53 bkl McMillan, Corey T. verfasserin aut Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration 2014transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Neuroimaging Elsevier Biomarkers Elsevier Frontotemporal lobar degeneration Elsevier Genetics Elsevier Toledo, Jon B. oth Avants, Brian B. oth Cook, Philip A. oth Wood, Elisabeth M. oth Suh, Eunran oth Irwin, David J. oth Powers, John oth Olm, Christopher oth Elman, Lauren oth McCluskey, Leo oth Schellenberg, Gerard D. oth Lee, Virginia M.-Y. oth Trojanowski, John Q. oth Van Deerlin, Vivianna M. oth Grossman, Murray oth Enthalten in Elsevier Science Zidane, Mustapha ELSEVIER Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors 2021 Amsterdam [u.a.] (DE-627)ELV005660645 volume:35 year:2014 number:6 pages:1473-1482 extent:10 https://doi.org/10.1016/j.neurobiolaging.2013.11.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-AST 38.70 Geophysik: Allgemeines VZ 39.53 Planeten VZ AR 35 2014 6 1473-1482 10 045F 610 |
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10.1016/j.neurobiolaging.2013.11.029 doi GBVA2014007000027.pica (DE-627)ELV022572538 (ELSEVIER)S0197-4580(13)00613-1 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 520 VZ 38.70 bkl 39.53 bkl McMillan, Corey T. verfasserin aut Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration 2014transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Neuroimaging Elsevier Biomarkers Elsevier Frontotemporal lobar degeneration Elsevier Genetics Elsevier Toledo, Jon B. oth Avants, Brian B. oth Cook, Philip A. oth Wood, Elisabeth M. oth Suh, Eunran oth Irwin, David J. oth Powers, John oth Olm, Christopher oth Elman, Lauren oth McCluskey, Leo oth Schellenberg, Gerard D. oth Lee, Virginia M.-Y. oth Trojanowski, John Q. oth Van Deerlin, Vivianna M. oth Grossman, Murray oth Enthalten in Elsevier Science Zidane, Mustapha ELSEVIER Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors 2021 Amsterdam [u.a.] (DE-627)ELV005660645 volume:35 year:2014 number:6 pages:1473-1482 extent:10 https://doi.org/10.1016/j.neurobiolaging.2013.11.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-AST 38.70 Geophysik: Allgemeines VZ 39.53 Planeten VZ AR 35 2014 6 1473-1482 10 045F 610 |
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10.1016/j.neurobiolaging.2013.11.029 doi GBVA2014007000027.pica (DE-627)ELV022572538 (ELSEVIER)S0197-4580(13)00613-1 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 520 VZ 38.70 bkl 39.53 bkl McMillan, Corey T. verfasserin aut Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration 2014transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Neuroimaging Elsevier Biomarkers Elsevier Frontotemporal lobar degeneration Elsevier Genetics Elsevier Toledo, Jon B. oth Avants, Brian B. oth Cook, Philip A. oth Wood, Elisabeth M. oth Suh, Eunran oth Irwin, David J. oth Powers, John oth Olm, Christopher oth Elman, Lauren oth McCluskey, Leo oth Schellenberg, Gerard D. oth Lee, Virginia M.-Y. oth Trojanowski, John Q. oth Van Deerlin, Vivianna M. oth Grossman, Murray oth Enthalten in Elsevier Science Zidane, Mustapha ELSEVIER Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors 2021 Amsterdam [u.a.] (DE-627)ELV005660645 volume:35 year:2014 number:6 pages:1473-1482 extent:10 https://doi.org/10.1016/j.neurobiolaging.2013.11.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-AST 38.70 Geophysik: Allgemeines VZ 39.53 Planeten VZ AR 35 2014 6 1473-1482 10 045F 610 |
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10.1016/j.neurobiolaging.2013.11.029 doi GBVA2014007000027.pica (DE-627)ELV022572538 (ELSEVIER)S0197-4580(13)00613-1 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 520 VZ 38.70 bkl 39.53 bkl McMillan, Corey T. verfasserin aut Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration 2014transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Neuroimaging Elsevier Biomarkers Elsevier Frontotemporal lobar degeneration Elsevier Genetics Elsevier Toledo, Jon B. oth Avants, Brian B. oth Cook, Philip A. oth Wood, Elisabeth M. oth Suh, Eunran oth Irwin, David J. oth Powers, John oth Olm, Christopher oth Elman, Lauren oth McCluskey, Leo oth Schellenberg, Gerard D. oth Lee, Virginia M.-Y. oth Trojanowski, John Q. oth Van Deerlin, Vivianna M. oth Grossman, Murray oth Enthalten in Elsevier Science Zidane, Mustapha ELSEVIER Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors 2021 Amsterdam [u.a.] (DE-627)ELV005660645 volume:35 year:2014 number:6 pages:1473-1482 extent:10 https://doi.org/10.1016/j.neurobiolaging.2013.11.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-AST 38.70 Geophysik: Allgemeines VZ 39.53 Planeten VZ AR 35 2014 6 1473-1482 10 045F 610 |
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10.1016/j.neurobiolaging.2013.11.029 doi GBVA2014007000027.pica (DE-627)ELV022572538 (ELSEVIER)S0197-4580(13)00613-1 DE-627 ger DE-627 rakwb eng 610 610 DE-600 550 520 VZ 38.70 bkl 39.53 bkl McMillan, Corey T. verfasserin aut Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration 2014transfer abstract 10 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. Neuroimaging Elsevier Biomarkers Elsevier Frontotemporal lobar degeneration Elsevier Genetics Elsevier Toledo, Jon B. oth Avants, Brian B. oth Cook, Philip A. oth Wood, Elisabeth M. oth Suh, Eunran oth Irwin, David J. oth Powers, John oth Olm, Christopher oth Elman, Lauren oth McCluskey, Leo oth Schellenberg, Gerard D. oth Lee, Virginia M.-Y. oth Trojanowski, John Q. oth Van Deerlin, Vivianna M. oth Grossman, Murray oth Enthalten in Elsevier Science Zidane, Mustapha ELSEVIER Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors 2021 Amsterdam [u.a.] (DE-627)ELV005660645 volume:35 year:2014 number:6 pages:1473-1482 extent:10 https://doi.org/10.1016/j.neurobiolaging.2013.11.029 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OPC-GGO SSG-OPC-GEO SSG-OPC-AST 38.70 Geophysik: Allgemeines VZ 39.53 Planeten VZ AR 35 2014 6 1473-1482 10 045F 610 |
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McMillan, Corey T. @@aut@@ Toledo, Jon B. @@oth@@ Avants, Brian B. @@oth@@ Cook, Philip A. @@oth@@ Wood, Elisabeth M. @@oth@@ Suh, Eunran @@oth@@ Irwin, David J. @@oth@@ Powers, John @@oth@@ Olm, Christopher @@oth@@ Elman, Lauren @@oth@@ McCluskey, Leo @@oth@@ Schellenberg, Gerard D. @@oth@@ Lee, Virginia M.-Y. @@oth@@ Trojanowski, John Q. @@oth@@ Van Deerlin, Vivianna M. @@oth@@ Grossman, Murray @@oth@@ |
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genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration |
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Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration |
abstract |
Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. |
abstractGer |
Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. |
abstract_unstemmed |
Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD. |
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Genetic and neuroanatomic associations in sporadic frontotemporal lobar degeneration |
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Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Genome-wide association studies have identified single nucleotide polymorphisms (SNPs) that are sensitive for tau or TDP-43 pathology in frontotemporal lobar degeneration (FTLD). Neuroimaging analyses have revealed distinct distributions of disease in FTLD patients with genetic mutations. However, genetic influences on neuroanatomic structure in sporadic FTLD have not been assessed. In this report, we use novel multivariate tools, Eigenanatomy, and sparse canonical correlation analysis to identify associations between SNPs and neuroanatomic structure in sporadic FTLD. Magnetic resonance imaging analyses revealed that rs8070723 (MAPT) was associated with gray matter variance in the temporal cortex. Diffusion tensor imaging analyses revealed that rs1768208 (MOBP), rs646776 (near SORT1), and rs5848 (PGRN) were associated with white matter variance in the midbrain and superior longitudinal fasciculus. In an independent autopsy series, we observed that rs8070723 and rs1768208 conferred significant risk of tau pathology relative to TDP-43, and rs646776 conferred increased risk of TDP-43 pathology relative to tau. Identified brain regions and SNPs may help provide an in vivo screen for underlying pathology in FTLD and contribute to our understanding of sporadic FTLD.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Neuroimaging</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Biomarkers</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Frontotemporal lobar degeneration</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">Genetics</subfield><subfield code="2">Elsevier</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Toledo, Jon B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Avants, Brian B.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Cook, Philip A.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Wood, Elisabeth M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Suh, Eunran</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Irwin, David J.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Powers, John</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Olm, Christopher</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Elman, Lauren</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">McCluskey, Leo</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Schellenberg, Gerard D.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lee, Virginia M.-Y.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Trojanowski, John Q.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Van Deerlin, Vivianna M.</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Grossman, Murray</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="n">Elsevier Science</subfield><subfield code="a">Zidane, Mustapha ELSEVIER</subfield><subfield code="t">Corrigendum to “Electrical and thermal transport properties of Fe–Ni based ternary alloys in the earth's inner core: An ab initio study” [Physics of the Earth and Planetary Interiors</subfield><subfield code="d">2021</subfield><subfield code="g">Amsterdam [u.a.]</subfield><subfield code="w">(DE-627)ELV005660645</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:35</subfield><subfield code="g">year:2014</subfield><subfield code="g">number:6</subfield><subfield code="g">pages:1473-1482</subfield><subfield code="g">extent:10</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://doi.org/10.1016/j.neurobiolaging.2013.11.029</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ELV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_U</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GGO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-GEO</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OPC-AST</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">38.70</subfield><subfield code="j">Geophysik: Allgemeines</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">39.53</subfield><subfield code="j">Planeten</subfield><subfield code="q">VZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">35</subfield><subfield code="j">2014</subfield><subfield code="e">6</subfield><subfield code="h">1473-1482</subfield><subfield code="g">10</subfield></datafield><datafield tag="953" ind1=" " ind2=" "><subfield code="2">045F</subfield><subfield code="a">610</subfield></datafield></record></collection>
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