Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder
Bipolar disorder is a highly heritable illness, associated with alterations of brain structure. As such, identification of genes influencing inter-individual differences in brain morphology may help elucidate the underlying pathophysiology of bipolar disorder (BP). To identify quantitative trait loc...
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| Veröffentlicht in: | Molecular psychiatry 2021-09, Vol.26 (9), p.5229-5238 |
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| creator | Fears, Scott C. Service, Susan K. Kremeyer, Barbara Araya, Carmen Araya, Xinia Bejarano, Julio Ramirez, Margarita Castrillón, Gabriel Gomez-Franco, Juliana Lopez, Maria C. Montoya, Gabriel Montoya, Patricia Aldana, Ileana Teshiba, Terri M. Al-Sharif, Noor B. Jalbrzikowski, Maria Tishler, Todd A. Escobar, Javier Ruiz-Linares, Andrés Lopez-Jaramillo, Carlos Macaya, Gabriel Molina, Julio Reus, Victor I. Cantor, Rita M. Sabatti, Chiara Freimer, Nelson B. Bearden, Carrie E. |
| description | Bipolar disorder is a highly heritable illness, associated with alterations of brain structure. As such, identification of genes influencing inter-individual differences in brain morphology may help elucidate the underlying pathophysiology of bipolar disorder (BP). To identify quantitative trait loci (QTL) that contribute to phenotypic variance of brain structure, structural neuroimages were acquired from family members (
n
= 527) of extended pedigrees heavily loaded for bipolar disorder ascertained from genetically isolated populations in Latin America. Genome-wide linkage and association analysis were conducted on the subset of heritable brain traits that showed significant evidence of association with bipolar disorder (
n
= 24) to map QTL influencing regional measures of brain volume and cortical thickness. Two chromosomal regions showed significant evidence of linkage; a QTL on chromosome 1p influencing corpus callosum volume and a region on chromosome 7p linked to cortical volume. Association analysis within the two QTLs identified three SNPs correlated with the brain measures. |
| doi_str_mv | 10.1038/s41380-020-0805-6 |
| format | Article |
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n
= 527) of extended pedigrees heavily loaded for bipolar disorder ascertained from genetically isolated populations in Latin America. Genome-wide linkage and association analysis were conducted on the subset of heritable brain traits that showed significant evidence of association with bipolar disorder (
n
= 24) to map QTL influencing regional measures of brain volume and cortical thickness. Two chromosomal regions showed significant evidence of linkage; a QTL on chromosome 1p influencing corpus callosum volume and a region on chromosome 7p linked to cortical volume. Association analysis within the two QTLs identified three SNPs correlated with the brain measures.</description><identifier>ISSN: 1359-4184</identifier><identifier>EISSN: 1476-5578</identifier><identifier>DOI: 10.1038/s41380-020-0805-6</identifier><identifier>PMID: 32606377</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>45/43 ; 59/57 ; 631/208 ; 631/378 ; Association analysis ; Behavioral Sciences ; Biological anthropology ; Biological Psychology ; Bipolar disorder ; Bipolar Disorder - genetics ; Brain ; Brain - diagnostic imaging ; Brain mapping ; Brain research ; Chromosome 1 ; Chromosome 7 ; Corpus callosum ; Development and progression ; Gene mapping ; Genetic aspects ; Genetic Linkage - genetics ; Genomes ; Health aspects ; Humanities and Social Sciences ; Humans ; Linkage analysis ; Medicine ; Medicine & Public Health ; Neurosciences ; Pedigree ; Pharmacotherapy ; Phenotype ; Phenotypes ; Phenotypic variations ; Population genetics ; Psychiatry ; Psychological aspects ; Quantitative trait loci ; Quantitative Trait Loci - genetics ; Risk factors ; Single-nucleotide polymorphism ; Structure</subject><ispartof>Molecular psychiatry, 2021-09, Vol.26 (9), p.5229-5238</ispartof><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020</rights><rights>2020. The Author(s), under exclusive licence to Springer Nature Limited.</rights><rights>COPYRIGHT 2021 Nature Publishing Group</rights><rights>The Author(s), under exclusive licence to Springer Nature Limited 2020.</rights><rights>Distributed under a Creative Commons Attribution 4.0 International License</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c473t-a1729f84b99e9ffd6d721cbe41be735e7422c83dcb2043d9967f3fbeed1cc9513</citedby><cites>FETCH-LOGICAL-c473t-a1729f84b99e9ffd6d721cbe41be735e7422c83dcb2043d9967f3fbeed1cc9513</cites><orcidid>0000-0002-8516-923X ; 0000-0003-3586-6587 ; 0000-0002-6443-2318 ; 0000-0001-5264-8691 ; 0000-0001-8372-1011</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>230,314,780,784,885,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32606377$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttps://hal.science/hal-03268997$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Fears, Scott C.</creatorcontrib><creatorcontrib>Service, Susan K.</creatorcontrib><creatorcontrib>Kremeyer, Barbara</creatorcontrib><creatorcontrib>Araya, Carmen</creatorcontrib><creatorcontrib>Araya, Xinia</creatorcontrib><creatorcontrib>Bejarano, Julio</creatorcontrib><creatorcontrib>Ramirez, Margarita</creatorcontrib><creatorcontrib>Castrillón, Gabriel</creatorcontrib><creatorcontrib>Gomez-Franco, Juliana</creatorcontrib><creatorcontrib>Lopez, Maria C.</creatorcontrib><creatorcontrib>Montoya, Gabriel</creatorcontrib><creatorcontrib>Montoya, Patricia</creatorcontrib><creatorcontrib>Aldana, Ileana</creatorcontrib><creatorcontrib>Teshiba, Terri M.</creatorcontrib><creatorcontrib>Al-Sharif, Noor B.</creatorcontrib><creatorcontrib>Jalbrzikowski, Maria</creatorcontrib><creatorcontrib>Tishler, Todd A.</creatorcontrib><creatorcontrib>Escobar, Javier</creatorcontrib><creatorcontrib>Ruiz-Linares, Andrés</creatorcontrib><creatorcontrib>Lopez-Jaramillo, Carlos</creatorcontrib><creatorcontrib>Macaya, Gabriel</creatorcontrib><creatorcontrib>Molina, Julio</creatorcontrib><creatorcontrib>Reus, Victor I.</creatorcontrib><creatorcontrib>Cantor, Rita M.</creatorcontrib><creatorcontrib>Sabatti, Chiara</creatorcontrib><creatorcontrib>Freimer, Nelson B.</creatorcontrib><creatorcontrib>Bearden, Carrie E.</creatorcontrib><title>Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder</title><title>Molecular psychiatry</title><addtitle>Mol Psychiatry</addtitle><addtitle>Mol Psychiatry</addtitle><description>Bipolar disorder is a highly heritable illness, associated with alterations of brain structure. As such, identification of genes influencing inter-individual differences in brain morphology may help elucidate the underlying pathophysiology of bipolar disorder (BP). To identify quantitative trait loci (QTL) that contribute to phenotypic variance of brain structure, structural neuroimages were acquired from family members (
n
= 527) of extended pedigrees heavily loaded for bipolar disorder ascertained from genetically isolated populations in Latin America. Genome-wide linkage and association analysis were conducted on the subset of heritable brain traits that showed significant evidence of association with bipolar disorder (
n
= 24) to map QTL influencing regional measures of brain volume and cortical thickness. Two chromosomal regions showed significant evidence of linkage; a QTL on chromosome 1p influencing corpus callosum volume and a region on chromosome 7p linked to cortical volume. Association analysis within the two QTLs identified three SNPs correlated with the brain measures.</description><subject>45/43</subject><subject>59/57</subject><subject>631/208</subject><subject>631/378</subject><subject>Association analysis</subject><subject>Behavioral Sciences</subject><subject>Biological anthropology</subject><subject>Biological Psychology</subject><subject>Bipolar disorder</subject><subject>Bipolar Disorder - genetics</subject><subject>Brain</subject><subject>Brain - diagnostic imaging</subject><subject>Brain mapping</subject><subject>Brain research</subject><subject>Chromosome 1</subject><subject>Chromosome 7</subject><subject>Corpus callosum</subject><subject>Development and progression</subject><subject>Gene mapping</subject><subject>Genetic aspects</subject><subject>Genetic Linkage - genetics</subject><subject>Genomes</subject><subject>Health aspects</subject><subject>Humanities and Social Sciences</subject><subject>Humans</subject><subject>Linkage analysis</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Neurosciences</subject><subject>Pedigree</subject><subject>Pharmacotherapy</subject><subject>Phenotype</subject><subject>Phenotypes</subject><subject>Phenotypic variations</subject><subject>Population genetics</subject><subject>Psychiatry</subject><subject>Psychological aspects</subject><subject>Quantitative trait loci</subject><subject>Quantitative Trait Loci - genetics</subject><subject>Risk factors</subject><subject>Single-nucleotide polymorphism</subject><subject>Structure</subject><issn>1359-4184</issn><issn>1476-5578</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1ks1u1TAQhSMEoqXwAGxQJDZ0keK_xPbyqqIt0pXYwNpy7HGuq8QOdi6lb4-jlFYgkGXZnvnOaMY6VfUWowuMqPiYGaYCNYiULVDbdM-qU8x417QtF8_LnbayYViwk-pVzrcIrcn2ZXVCSYc6yvlpFa4hxAmaO2-hnvQ8-zDU0dV90j7U86Fkl_sZcl1e8HOBYMHWM1g_JCjRO78c6rykWFQDBFi8qceo7VrFxVT3fo6jTrX1OSYL6XX1wukxw5uH86z6dvXp6-VNs_9y_flyt28M43RpNOZEOsF6KUE6ZzvLCTY9MNwDpy1wRogR1JqeIEatlB131PUAFhsjW0zPqvOt7kGPak5-0uleRe3VzW6v1hgqXyCk5D9W9sPGzil-P0Je1OSzgXHUAeIxK8KwZBhxtKLv_0Jv4zGFMokirewExqXxJ2rQIygfXFySNmtRtesEIYJwSQt18Q-qLAuTNzGA8yX-hwBvApNizgnc42AYqdUPavODKn5Qqx9UVzTvHho-9hPYR8VvAxSAbEAuqTBAepro_1V_AVC7vt8</recordid><startdate>20210901</startdate><enddate>20210901</enddate><creator>Fears, Scott C.</creator><creator>Service, Susan K.</creator><creator>Kremeyer, Barbara</creator><creator>Araya, Carmen</creator><creator>Araya, Xinia</creator><creator>Bejarano, Julio</creator><creator>Ramirez, Margarita</creator><creator>Castrillón, Gabriel</creator><creator>Gomez-Franco, Juliana</creator><creator>Lopez, Maria C.</creator><creator>Montoya, Gabriel</creator><creator>Montoya, Patricia</creator><creator>Aldana, Ileana</creator><creator>Teshiba, Terri M.</creator><creator>Al-Sharif, Noor B.</creator><creator>Jalbrzikowski, Maria</creator><creator>Tishler, Todd A.</creator><creator>Escobar, Javier</creator><creator>Ruiz-Linares, Andrés</creator><creator>Lopez-Jaramillo, Carlos</creator><creator>Macaya, Gabriel</creator><creator>Molina, Julio</creator><creator>Reus, Victor I.</creator><creator>Cantor, Rita M.</creator><creator>Sabatti, Chiara</creator><creator>Freimer, Nelson B.</creator><creator>Bearden, Carrie E.</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7TK</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8AO</scope><scope>8FE</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M7P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>1XC</scope><scope>BXJBU</scope><orcidid>https://orcid.org/0000-0002-8516-923X</orcidid><orcidid>https://orcid.org/0000-0003-3586-6587</orcidid><orcidid>https://orcid.org/0000-0002-6443-2318</orcidid><orcidid>https://orcid.org/0000-0001-5264-8691</orcidid><orcidid>https://orcid.org/0000-0001-8372-1011</orcidid></search><sort><creationdate>20210901</creationdate><title>Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder</title><author>Fears, Scott C. ; Service, Susan K. ; Kremeyer, Barbara ; Araya, Carmen ; Araya, Xinia ; Bejarano, Julio ; Ramirez, Margarita ; Castrillón, Gabriel ; Gomez-Franco, Juliana ; Lopez, Maria C. ; Montoya, Gabriel ; Montoya, Patricia ; Aldana, Ileana ; Teshiba, Terri M. ; Al-Sharif, Noor B. ; Jalbrzikowski, Maria ; Tishler, Todd A. ; Escobar, Javier ; Ruiz-Linares, Andrés ; Lopez-Jaramillo, Carlos ; Macaya, Gabriel ; Molina, Julio ; Reus, Victor I. ; Cantor, Rita M. ; Sabatti, Chiara ; Freimer, Nelson B. ; Bearden, Carrie E.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c473t-a1729f84b99e9ffd6d721cbe41be735e7422c83dcb2043d9967f3fbeed1cc9513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>45/43</topic><topic>59/57</topic><topic>631/208</topic><topic>631/378</topic><topic>Association analysis</topic><topic>Behavioral Sciences</topic><topic>Biological anthropology</topic><topic>Biological Psychology</topic><topic>Bipolar disorder</topic><topic>Bipolar Disorder - 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As such, identification of genes influencing inter-individual differences in brain morphology may help elucidate the underlying pathophysiology of bipolar disorder (BP). To identify quantitative trait loci (QTL) that contribute to phenotypic variance of brain structure, structural neuroimages were acquired from family members (
n
= 527) of extended pedigrees heavily loaded for bipolar disorder ascertained from genetically isolated populations in Latin America. Genome-wide linkage and association analysis were conducted on the subset of heritable brain traits that showed significant evidence of association with bipolar disorder (
n
= 24) to map QTL influencing regional measures of brain volume and cortical thickness. Two chromosomal regions showed significant evidence of linkage; a QTL on chromosome 1p influencing corpus callosum volume and a region on chromosome 7p linked to cortical volume. Association analysis within the two QTLs identified three SNPs correlated with the brain measures.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32606377</pmid><doi>10.1038/s41380-020-0805-6</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-8516-923X</orcidid><orcidid>https://orcid.org/0000-0003-3586-6587</orcidid><orcidid>https://orcid.org/0000-0002-6443-2318</orcidid><orcidid>https://orcid.org/0000-0001-5264-8691</orcidid><orcidid>https://orcid.org/0000-0001-8372-1011</orcidid></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1359-4184 |
| ispartof | Molecular psychiatry, 2021-09, Vol.26 (9), p.5229-5238 |
| issn | 1359-4184 1476-5578 |
| language | eng |
| recordid | cdi_hal_primary_oai_HAL_hal_03268997v1 |
| source | MEDLINE; Alma/SFX Local Collection |
| subjects | 45/43 59/57 631/208 631/378 Association analysis Behavioral Sciences Biological anthropology Biological Psychology Bipolar disorder Bipolar Disorder - genetics Brain Brain - diagnostic imaging Brain mapping Brain research Chromosome 1 Chromosome 7 Corpus callosum Development and progression Gene mapping Genetic aspects Genetic Linkage - genetics Genomes Health aspects Humanities and Social Sciences Humans Linkage analysis Medicine Medicine & Public Health Neurosciences Pedigree Pharmacotherapy Phenotype Phenotypes Phenotypic variations Population genetics Psychiatry Psychological aspects Quantitative trait loci Quantitative Trait Loci - genetics Risk factors Single-nucleotide polymorphism Structure |
| title | Genome-wide mapping of brain phenotypes in extended pedigrees with strong genetic loading for bipolar disorder |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T15%3A25%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_hal_p&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Genome-wide%20mapping%20of%20brain%20phenotypes%20in%20extended%20pedigrees%20with%20strong%20genetic%20loading%20for%20bipolar%20disorder&rft.jtitle=Molecular%20psychiatry&rft.au=Fears,%20Scott%20C.&rft.date=2021-09-01&rft.volume=26&rft.issue=9&rft.spage=5229&rft.epage=5238&rft.pages=5229-5238&rft.issn=1359-4184&rft.eissn=1476-5578&rft_id=info:doi/10.1038/s41380-020-0805-6&rft_dat=%3Cgale_hal_p%3EA682282793%3C/gale_hal_p%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2596811172&rft_id=info:pmid/32606377&rft_galeid=A682282793&rfr_iscdi=true |