A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy

Background: Electrocardiographic measures of left ventricular hypertrophy (LVH) are used as predictors of cardiovascular risk. We combined linkage and association analyses to discover novel rare genetic variants involved in three such measures and two principal components derived from them. Methods:...

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Fecha de publicación:
2018
Institución:
Universidad del Rosario
Repositorio:
Repositorio EdocUR - U. Rosario
Idioma:
eng
OAI Identifier:
oai:repository.urosario.edu.co:10336/20386
Acceso en línea:
https://doi.org/10.1186/s12920-018-0339-9
https://repository.urosario.edu.co/handle/10336/20386
Palabra clave:
Chromosome 11
Chromosome 15
Dutchman
Exome Analysis
Gene
Gene Locus
Genetic Analysis
Genetic Association
Genetic Variability
Heart Left Ventricle Hypertrophy
Human
Limit Of Detection
Linkage Analysis
Major Clinical Study
Male
Map3K11 Gene
Microarray Analysis
Netherlands
Priority Journal
Whole Exome Sequencing
Cromosoma 11
Cromosoma 15
Enfermedades
Adult
Article
Female
Middle Aged
Cardiomegalia
Enfermedades cardiovasculares
Rights
License
Abierto (Texto Completo)
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repository_id_str
dc.title.spa.fl_str_mv A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
title A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
spellingShingle A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
Chromosome 11
Chromosome 15
Dutchman
Exome Analysis
Gene
Gene Locus
Genetic Analysis
Genetic Association
Genetic Variability
Heart Left Ventricle Hypertrophy
Human
Limit Of Detection
Linkage Analysis
Major Clinical Study
Male
Map3K11 Gene
Microarray Analysis
Netherlands
Priority Journal
Whole Exome Sequencing
Cromosoma 11
Cromosoma 15
Enfermedades
Adult
Article
Female
Middle Aged
Cardiomegalia
Enfermedades cardiovasculares
title_short A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
title_full A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
title_fullStr A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
title_full_unstemmed A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
title_sort A combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophy
dc.contributor.gruplac.none.fl_str_mv Center for Research in Genetics and Genomics (CIGGUR)
Institute of Translational Medicine (IMT)
GENIUROS Research group
dc.subject.spa.fl_str_mv Chromosome 11
Chromosome 15
Dutchman
Exome Analysis
Gene
Gene Locus
Genetic Analysis
Genetic Association
Genetic Variability
Heart Left Ventricle Hypertrophy
Human
Limit Of Detection
Linkage Analysis
Major Clinical Study
Male
Map3K11 Gene
Microarray Analysis
Netherlands
Priority Journal
Whole Exome Sequencing
Cromosoma 11
Cromosoma 15
topic Chromosome 11
Chromosome 15
Dutchman
Exome Analysis
Gene
Gene Locus
Genetic Analysis
Genetic Association
Genetic Variability
Heart Left Ventricle Hypertrophy
Human
Limit Of Detection
Linkage Analysis
Major Clinical Study
Male
Map3K11 Gene
Microarray Analysis
Netherlands
Priority Journal
Whole Exome Sequencing
Cromosoma 11
Cromosoma 15
Enfermedades
Adult
Article
Female
Middle Aged
Cardiomegalia
Enfermedades cardiovasculares
dc.subject.ddc.spa.fl_str_mv Enfermedades
dc.subject.keyword.spa.fl_str_mv Adult
Article
Female
Middle Aged
dc.subject.lemb.spa.fl_str_mv Cardiomegalia
Enfermedades cardiovasculares
description Background: Electrocardiographic measures of left ventricular hypertrophy (LVH) are used as predictors of cardiovascular risk. We combined linkage and association analyses to discover novel rare genetic variants involved in three such measures and two principal components derived from them. Methods: The study was conducted among participants from the Erasmus Rucphen Family Study (ERF), a Dutch family-based sample from the southwestern Netherlands. Variance components linkage analyses were performed using Merlin. Regions of interest (LOD > 1.9) were fine-mapped using microarray and exome sequence data. Results: We observed one significant LOD score for the second principal component on chromosome 15 (LOD score = 3.01) and 12 suggestive LOD scores. Several loci contained variants identified in GWAS for these traits; however, these did not explain the linkage peaks, nor did other common variants. Exome sequence data identified two associated variants after multiple testing corrections were applied. Conclusions: We did not find common SNPs explaining these linkage signals. Exome sequencing uncovered a relatively rare variant in MAPK3K11 on chromosome 11 (MAF = 0.01) that helped account for the suggestive linkage peak observed for the first principal component. Conditional analysis revealed a drop in LOD from 2.01 to 0.88 for MAP3K11, suggesting that this variant may partially explain the linkage signal at this chromosomal location. MAP3K11 is related to the JNK pathway and is a pro-apoptotic kinase that plays an important role in the induction of cardiomyocyte apoptosis in various pathologies, including LVH. © 2018 The Author(s).
publishDate 2018
dc.date.created.none.fl_str_mv 2018
dc.date.issued.none.fl_str_mv 2018
dc.date.accessioned.none.fl_str_mv 2019-10-03T15:18:04Z
dc.date.available.none.fl_str_mv 2019-10-03T15:18:04Z
dc.type.eng.fl_str_mv article
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
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dc.type.spa.spa.fl_str_mv Artículo
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1186/s12920-018-0339-9
dc.identifier.issn.none.fl_str_mv 1755-8794
dc.identifier.uri.none.fl_str_mv https://repository.urosario.edu.co/handle/10336/20386
url https://doi.org/10.1186/s12920-018-0339-9
https://repository.urosario.edu.co/handle/10336/20386
identifier_str_mv 1755-8794
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.citationTitle.none.fl_str_mv BMC Medical Genomics
dc.relation.citationVolume.none.fl_str_mv Vol. 11
dc.relation.ispartof.spa.fl_str_mv BMC Medical Genomics, ISSN:1755-8794, Vol. 11 (2018)
dc.relation.uri.spa.fl_str_mv https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-018-0339-9
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.acceso.spa.fl_str_mv Abierto (Texto Completo)
rights_invalid_str_mv Abierto (Texto Completo)
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dc.format.mimetype.none.fl_str_mv application/pdf
institution Universidad del Rosario
dc.source.bibliographicCitation.spa.fl_str_mv Benjamin, E.J., Levy, D., Why is left ventricular hypertrophy so predictive of morbidity and mortality? (1999) Am J Med Sci, 317 (3), pp. 168-175. , 1:STN:280:DyaK1M7pvVOruw%3D%3D 10100690
dc.source.instname.none.fl_str_mv instname:Universidad del Rosario
dc.source.reponame.none.fl_str_mv reponame:Repositorio Institucional EdocUR
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spelling Center for Research in Genetics and Genomics (CIGGUR)Institute of Translational Medicine (IMT)GENIUROS Research groupTamar Silva, ClaudiaZorkoltseva, Irina V.Niemeijer, Maartje N.van den Berg, Marten E.Amin, NajafDemirkan, AyşeLeeuwen, Elisa vanIglesias, Adriana I.Piñeros-Hernández, Laura B.Restrepo Fernández, Carlos MartínKors, Jan A.Kirichenko, Anatoly V.Willemsen, RobOostra, Ben A.Stricker, Bruno H.Uitterlinden, André G.Axenovich, Tatiana I.Duijn, Cornelia M. vanIsaacs, AaronSilva, Claudia TamarZorkoltseva, Irina V.Niemeijer, Maartje N.van den Berg, Marten E.Amin, NajafDemirkan, AyşeLeeuwen, Elisa vanIglesias, Adriana I.Piñeros-Hernández, Laura B.Restrepo, Carlos M.Kors, Jan A.Kirichenko, Anatoly V.Willemsen, RobOostra, Ben A.Stricker, Bruno H.Uitterlinden, André G.Axenovich, Tatiana I.Duijn, Cornelia M. vanIsaacs, Aaron16eae981-1ee7-4cba-975e-8045d25d3421600f2bd3343-2556-4502-b232-94513a1b67a560095290715-0a4d-4f81-b669-8416dc52d51b6009a00587d-6883-4f02-929c-e4e3a5428126600b687727a-c0fe-4db5-809e-4b40aa1a12a0600c0f87f10-563a-4086-bf2c-b4cb9c95f78760095bd1c04-5034-4134-abf7-f0e71623f9bd6003afbc0b2-9d4c-49d5-ab0d-1266703f99ff600816d71d0-99af-43c4-8828-a9f3a942d82b6001933181960019b1ea6b-791b-4a02-b02b-7da9b981ceda600c3bbebb3-f3d2-46e0-b70c-5f0483788230600176374f1-4688-4f42-9fc6-1aa7a1c5ebec60099ce4f2c-1e00-4901-a7dd-7ffcd4546e97600a99d6cf2-1da8-48e2-9e93-c3d2e6242f5d6006ec37a1a-5d38-435a-8400-632a9da722606003d975b3f-3c95-4b8e-b5d8-06d9a1836eec600df25179c-f919-49cf-8e1a-c4b86fc5515e600a973d5a7-cb60-4a89-8167-f2811c5918b36002019-10-03T15:18:04Z2019-10-03T15:18:04Z20182018Background: Electrocardiographic measures of left ventricular hypertrophy (LVH) are used as predictors of cardiovascular risk. We combined linkage and association analyses to discover novel rare genetic variants involved in three such measures and two principal components derived from them. Methods: The study was conducted among participants from the Erasmus Rucphen Family Study (ERF), a Dutch family-based sample from the southwestern Netherlands. Variance components linkage analyses were performed using Merlin. Regions of interest (LOD > 1.9) were fine-mapped using microarray and exome sequence data. Results: We observed one significant LOD score for the second principal component on chromosome 15 (LOD score = 3.01) and 12 suggestive LOD scores. Several loci contained variants identified in GWAS for these traits; however, these did not explain the linkage peaks, nor did other common variants. Exome sequence data identified two associated variants after multiple testing corrections were applied. Conclusions: We did not find common SNPs explaining these linkage signals. Exome sequencing uncovered a relatively rare variant in MAPK3K11 on chromosome 11 (MAF = 0.01) that helped account for the suggestive linkage peak observed for the first principal component. Conditional analysis revealed a drop in LOD from 2.01 to 0.88 for MAP3K11, suggesting that this variant may partially explain the linkage signal at this chromosomal location. MAP3K11 is related to the JNK pathway and is a pro-apoptotic kinase that plays an important role in the induction of cardiomyocyte apoptosis in various pathologies, including LVH. © 2018 The Author(s).application/pdfhttps://doi.org/10.1186/s12920-018-0339-91755-8794https://repository.urosario.edu.co/handle/10336/20386engBMC Medical GenomicsVol. 11BMC Medical Genomics, ISSN:1755-8794, Vol. 11 (2018)https://bmcmedgenomics.biomedcentral.com/track/pdf/10.1186/s12920-018-0339-9Abierto (Texto Completo)http://purl.org/coar/access_right/c_abf2Benjamin, E.J., Levy, D., Why is left ventricular hypertrophy so predictive of morbidity and mortality? (1999) Am J Med Sci, 317 (3), pp. 168-175. , 1:STN:280:DyaK1M7pvVOruw%3D%3D 10100690instname:Universidad del Rosarioreponame:Repositorio Institucional EdocURChromosome 11Chromosome 15DutchmanExome AnalysisGeneGene LocusGenetic AnalysisGenetic AssociationGenetic VariabilityHeart Left Ventricle HypertrophyHumanLimit Of DetectionLinkage AnalysisMajor Clinical StudyMaleMap3K11 GeneMicroarray AnalysisNetherlandsPriority JournalWhole Exome SequencingCromosoma 11Cromosoma 15Enfermedades616600AdultArticleFemaleMiddle AgedCardiomegaliaEnfermedades cardiovascularesA combined linkage, microarray and exome analysis suggests MAP3K11 as a candidate gene for left ventricular hypertrophyarticleArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501ORIGINAL81.pdfapplication/pdf1173663https://repository.urosario.edu.co/bitstreams/803f0b6c-bf44-4822-80a6-9f5719ed3d24/download52e48d951d32a00ffff1afdf2ef25738MD51TEXT81.pdf.txt81.pdf.txtExtracted texttext/plain47046https://repository.urosario.edu.co/bitstreams/2008e633-0aa1-426f-8d14-6adccd54f5e9/downloadb4c37f5d34a1ff32b29a12e7d4aab167MD52THUMBNAIL81.pdf.jpg81.pdf.jpgGenerated Thumbnailimage/jpeg4560https://repository.urosario.edu.co/bitstreams/17d2fa53-916b-4e02-a0e4-1d7ad5c261d1/download499e1a73973d7ff50748310b1a53bc5bMD5310336/20386oai:repository.urosario.edu.co:10336/203862020-05-12 06:34:07.447https://repository.urosario.edu.coRepositorio institucional EdocURedocur@urosario.edu.co