Conservation of Distinct Genetically-Mediated Human Cortical Pattern.

The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped...
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Autor*in:	Qian Peng [verfasserIn] Andrew Schork [verfasserIn] Hauke Bartsch [verfasserIn] Min-Tzu Lo [verfasserIn] Matthew S Panizzon [verfasserIn] Pediatric Imaging, Neurocognition and Genetics Study [verfasserIn] Alzheimer’s Disease Neuroimaging Initiative [verfasserIn] Lars T Westlye [verfasserIn] William S Kremen [verfasserIn] Terry L Jernigan [verfasserIn] Stephanie Le Hellard [verfasserIn] Vidar M Steen [verfasserIn] Thomas Espeseth [verfasserIn] Matt Huentelman [verfasserIn] Asta K Håberg [verfasserIn] Ingrid Agartz [verfasserIn] Srdjan Djurovic [verfasserIn] Ole A Andreassen [verfasserIn] Anders M Dale [verfasserIn] Nicholas J Schork [verfasserIn] Chi-Hua Chen [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2016

Übergeordnetes Werk:	In: PLoS Genetics - Public Library of Science (PLoS), 2005, 12(2016), 7, p e1006143
Übergeordnetes Werk:	volume:12 ; year:2016 ; number:7, p e1006143

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc Journal toc

DOI / URN:	10.1371/journal.pgen.1006143

Katalog-ID:	DOAJ036172596

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spelling	10.1371/journal.pgen.1006143 doi (DE-627)DOAJ036172596 (DE-599)DOAJef1172adffb84c99afaefdeb797721fe DE-627 ger DE-627 rakwb eng QH426-470 Qian Peng verfasserin aut Conservation of Distinct Genetically-Mediated Human Cortical Pattern. 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets. Genetics Andrew Schork verfasserin aut Hauke Bartsch verfasserin aut Min-Tzu Lo verfasserin aut Matthew S Panizzon verfasserin aut Pediatric Imaging, Neurocognition and Genetics Study verfasserin aut Alzheimer’s Disease Neuroimaging Initiative verfasserin aut Lars T Westlye verfasserin aut William S Kremen verfasserin aut Terry L Jernigan verfasserin aut Stephanie Le Hellard verfasserin aut Vidar M Steen verfasserin aut Thomas Espeseth verfasserin aut Matt Huentelman verfasserin aut Asta K Håberg verfasserin aut Ingrid Agartz verfasserin aut Srdjan Djurovic verfasserin aut Ole A Andreassen verfasserin aut Anders M Dale verfasserin aut Nicholas J Schork verfasserin aut Chi-Hua Chen verfasserin aut In PLoS Genetics Public Library of Science (PLoS), 2005 12(2016), 7, p e1006143 (DE-627)485248026 (DE-600)2186725-2 15537404 nnns volume:12 year:2016 number:7, p e1006143 https://doi.org/10.1371/journal.pgen.1006143 kostenfrei https://doaj.org/article/ef1172adffb84c99afaefdeb797721fe kostenfrei http://europepmc.org/articles/PMC4961377?pdf=render kostenfrei https://doaj.org/toc/1553-7390 Journal toc kostenfrei https://doaj.org/toc/1553-7404 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2016 7, p e1006143
allfields_unstemmed	10.1371/journal.pgen.1006143 doi (DE-627)DOAJ036172596 (DE-599)DOAJef1172adffb84c99afaefdeb797721fe DE-627 ger DE-627 rakwb eng QH426-470 Qian Peng verfasserin aut Conservation of Distinct Genetically-Mediated Human Cortical Pattern. 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets. Genetics Andrew Schork verfasserin aut Hauke Bartsch verfasserin aut Min-Tzu Lo verfasserin aut Matthew S Panizzon verfasserin aut Pediatric Imaging, Neurocognition and Genetics Study verfasserin aut Alzheimer’s Disease Neuroimaging Initiative verfasserin aut Lars T Westlye verfasserin aut William S Kremen verfasserin aut Terry L Jernigan verfasserin aut Stephanie Le Hellard verfasserin aut Vidar M Steen verfasserin aut Thomas Espeseth verfasserin aut Matt Huentelman verfasserin aut Asta K Håberg verfasserin aut Ingrid Agartz verfasserin aut Srdjan Djurovic verfasserin aut Ole A Andreassen verfasserin aut Anders M Dale verfasserin aut Nicholas J Schork verfasserin aut Chi-Hua Chen verfasserin aut In PLoS Genetics Public Library of Science (PLoS), 2005 12(2016), 7, p e1006143 (DE-627)485248026 (DE-600)2186725-2 15537404 nnns volume:12 year:2016 number:7, p e1006143 https://doi.org/10.1371/journal.pgen.1006143 kostenfrei https://doaj.org/article/ef1172adffb84c99afaefdeb797721fe kostenfrei http://europepmc.org/articles/PMC4961377?pdf=render kostenfrei https://doaj.org/toc/1553-7390 Journal toc kostenfrei https://doaj.org/toc/1553-7404 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2016 7, p e1006143
allfieldsGer	10.1371/journal.pgen.1006143 doi (DE-627)DOAJ036172596 (DE-599)DOAJef1172adffb84c99afaefdeb797721fe DE-627 ger DE-627 rakwb eng QH426-470 Qian Peng verfasserin aut Conservation of Distinct Genetically-Mediated Human Cortical Pattern. 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets. Genetics Andrew Schork verfasserin aut Hauke Bartsch verfasserin aut Min-Tzu Lo verfasserin aut Matthew S Panizzon verfasserin aut Pediatric Imaging, Neurocognition and Genetics Study verfasserin aut Alzheimer’s Disease Neuroimaging Initiative verfasserin aut Lars T Westlye verfasserin aut William S Kremen verfasserin aut Terry L Jernigan verfasserin aut Stephanie Le Hellard verfasserin aut Vidar M Steen verfasserin aut Thomas Espeseth verfasserin aut Matt Huentelman verfasserin aut Asta K Håberg verfasserin aut Ingrid Agartz verfasserin aut Srdjan Djurovic verfasserin aut Ole A Andreassen verfasserin aut Anders M Dale verfasserin aut Nicholas J Schork verfasserin aut Chi-Hua Chen verfasserin aut In PLoS Genetics Public Library of Science (PLoS), 2005 12(2016), 7, p e1006143 (DE-627)485248026 (DE-600)2186725-2 15537404 nnns volume:12 year:2016 number:7, p e1006143 https://doi.org/10.1371/journal.pgen.1006143 kostenfrei https://doaj.org/article/ef1172adffb84c99afaefdeb797721fe kostenfrei http://europepmc.org/articles/PMC4961377?pdf=render kostenfrei https://doaj.org/toc/1553-7390 Journal toc kostenfrei https://doaj.org/toc/1553-7404 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2016 7, p e1006143
allfieldsSound	10.1371/journal.pgen.1006143 doi (DE-627)DOAJ036172596 (DE-599)DOAJef1172adffb84c99afaefdeb797721fe DE-627 ger DE-627 rakwb eng QH426-470 Qian Peng verfasserin aut Conservation of Distinct Genetically-Mediated Human Cortical Pattern. 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets. Genetics Andrew Schork verfasserin aut Hauke Bartsch verfasserin aut Min-Tzu Lo verfasserin aut Matthew S Panizzon verfasserin aut Pediatric Imaging, Neurocognition and Genetics Study verfasserin aut Alzheimer’s Disease Neuroimaging Initiative verfasserin aut Lars T Westlye verfasserin aut William S Kremen verfasserin aut Terry L Jernigan verfasserin aut Stephanie Le Hellard verfasserin aut Vidar M Steen verfasserin aut Thomas Espeseth verfasserin aut Matt Huentelman verfasserin aut Asta K Håberg verfasserin aut Ingrid Agartz verfasserin aut Srdjan Djurovic verfasserin aut Ole A Andreassen verfasserin aut Anders M Dale verfasserin aut Nicholas J Schork verfasserin aut Chi-Hua Chen verfasserin aut In PLoS Genetics Public Library of Science (PLoS), 2005 12(2016), 7, p e1006143 (DE-627)485248026 (DE-600)2186725-2 15537404 nnns volume:12 year:2016 number:7, p e1006143 https://doi.org/10.1371/journal.pgen.1006143 kostenfrei https://doaj.org/article/ef1172adffb84c99afaefdeb797721fe kostenfrei http://europepmc.org/articles/PMC4961377?pdf=render kostenfrei https://doaj.org/toc/1553-7390 Journal toc kostenfrei https://doaj.org/toc/1553-7404 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2031 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2061 GBV_ILN_2111 GBV_ILN_2113 GBV_ILN_2190 GBV_ILN_2522 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 12 2016 7, p e1006143
language	English
source	In PLoS Genetics 12(2016), 7, p e1006143 volume:12 year:2016 number:7, p e1006143
sourceStr	In PLoS Genetics 12(2016), 7, p e1006143 volume:12 year:2016 number:7, p e1006143
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Genetics
isfreeaccess_bool	true
container_title	PLoS Genetics
authorswithroles_txt_mv	Qian Peng @@aut@@ Andrew Schork @@aut@@ Hauke Bartsch @@aut@@ Min-Tzu Lo @@aut@@ Matthew S Panizzon @@aut@@ Pediatric Imaging, Neurocognition and Genetics Study @@aut@@ Alzheimer’s Disease Neuroimaging Initiative @@aut@@ Lars T Westlye @@aut@@ William S Kremen @@aut@@ Terry L Jernigan @@aut@@ Stephanie Le Hellard @@aut@@ Vidar M Steen @@aut@@ Thomas Espeseth @@aut@@ Matt Huentelman @@aut@@ Asta K Håberg @@aut@@ Ingrid Agartz @@aut@@ Srdjan Djurovic @@aut@@ Ole A Andreassen @@aut@@ Anders M Dale @@aut@@ Nicholas J Schork @@aut@@ Chi-Hua Chen @@aut@@
publishDateDaySort_date	2016-01-01T00:00:00Z
hierarchy_top_id	485248026
id	DOAJ036172596
language_de	englisch
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topic_title	QH426-470 Conservation of Distinct Genetically-Mediated Human Cortical Pattern
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title	Conservation of Distinct Genetically-Mediated Human Cortical Pattern.
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title_full	Conservation of Distinct Genetically-Mediated Human Cortical Pattern
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title_sort	conservation of distinct genetically-mediated human cortical pattern
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title_auth	Conservation of Distinct Genetically-Mediated Human Cortical Pattern.
abstract	The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets.
abstractGer	The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets.
abstract_unstemmed	The many subcomponents of the human cortex are known to follow an anatomical pattern and functional relationship that appears to be highly conserved between individuals. This suggests that this pattern and the relationship among cortical regions are important for cortical function and likely shaped by genetic factors, although the degree to which genetic factors contribute to this pattern is unknown. We assessed the genetic relationships among 12 cortical surface areas using brain images and genotype information on 2,364 unrelated individuals, brain images on 466 twin pairs, and transcriptome data on 6 postmortem brains in order to determine whether a consistent and biologically meaningful pattern could be identified from these very different data sets. We find that the patterns revealed by each data set are highly consistent (p<10-3), and are biologically meaningful on several fronts. For example, close genetic relationships are seen in cortical regions within the same lobes and, the frontal lobe, a region showing great evolutionary expansion and functional complexity, has the most distant genetic relationship with other lobes. The frontal lobe also exhibits the most distinct expression pattern relative to the other regions, implicating a number of genes with known functions mediating immune and related processes. Our analyses reflect one of the first attempts to provide an assessment of the biological consistency of a genetic phenomenon involving the brain that leverages very different types of data, and therefore is not just statistical replication which purposefully use very similar data sets.
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title_short	Conservation of Distinct Genetically-Mediated Human Cortical Pattern.
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Conservation of Distinct Genetically-Mediated Human Cortical Pattern.

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