{"id":5414,"date":"2023-09-12T12:28:25","date_gmt":"2023-09-12T10:28:25","guid":{"rendered":"https:\/\/bsicos-dev.i3a.es\/?p=5414"},"modified":"2025-12-15T14:47:52","modified_gmt":"2025-12-15T12:47:52","slug":"genetics-of-cardiovascular-risk","status":"publish","type":"post","link":"https:\/\/bsicos.i3a.es\/es\/genetics-of-cardiovascular-risk\/","title":{"rendered":"GENETICS OF CARDIOVASCULAR RISK"},"content":{"rendered":"
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    L\u00edneas de investigaci\u00f3n<\/a><\/h3>\n

    GENETICS OF CARDIOVASCULAR RISK\n<\/h1>\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t<\/li>\n\t\t<\/ul>\t\t\t\t
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      \n\t\t\t\t\t\tResearch line\t\t\t\t\t\t<\/p>\n\t\t\t\t\t\t\t\t\t\t\t

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      The most recent tools of genetic statistics and bioinformatics will be used to study the architecture and genetic predisposition to suffer cardiovascular diseases.<\/p>\n

      The specific objectives are:<\/p>\n

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      1. Identification and monitoring of genes associated with cardiovascular events, as well as different non-invasive markers of cardiovascular risk.<\/li>\n
      2. Development of genetic risk markers that indicate the genetic predisposition to suffer a cardiovascular event.<\/li>\n<\/ol>\n<\/div>\n<\/div><\/div><\/div>
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        Investigator in charge<\/span><\/h2><\/div><\/div><\/div>
        \"Julia<\/a><\/div>

        Julia Ram\u00edrez Garc\u00eda<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div>
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        Proyectos<\/span><\/h2><\/div><\/div><\/div>
        \"PID2023-148975OB-I00:<\/a><\/div>

        PID2023-148975OB-I00: Sex as modulator of electrophysiological abnormalities leading to cardiovascular risk (HORMONECG)<\/a><\/h3><\/div><\/div><\/div><\/div>
        \"Identification<\/a><\/div>

        Identification of strong electrocardiographic and genetic predictors of sudden cardiac death risk aided by artificial intelligence (SUDDEN): CNS2023-143599<\/a><\/h3><\/div><\/div><\/div><\/div><\/div><\/div>
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        ECG morphology clusters for sudden cardiac death risk stratification in coronary artery disease using genetics and human-based computational models (STRATEGIC) \u2013 PID2021-128972OA-I00<\/a><\/h3><\/div><\/div>
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        <\/div><\/div>","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":4790,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[279],"tags":[],"class_list":["post-5414","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-lineas-de-investigacion"],"_links":{"self":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/5414","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/comments?post=5414"}],"version-history":[{"count":11,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/5414\/revisions"}],"predecessor-version":[{"id":6820,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/posts\/5414\/revisions\/6820"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/media\/4790"}],"wp:attachment":[{"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/media?parent=5414"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/categories?post=5414"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/bsicos.i3a.es\/es\/wp-json\/wp\/v2\/tags?post=5414"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}