{"id":1476,"date":"2016-02-16T16:09:00","date_gmt":"2016-02-16T16:09:00","guid":{"rendered":"https:\/\/cias.uc.pt\/?p=1476"},"modified":"2023-10-31T13:55:48","modified_gmt":"2023-10-31T13:55:48","slug":"the-integration-of-omic-techniques-for-the-identification-of-polygenic-profiles-of-susceptibility-to-obesity","status":"publish","type":"post","link":"https:\/\/cias.uc.pt\/pt-pt\/projects\/the-integration-of-omic-techniques-for-the-identification-of-polygenic-profiles-of-susceptibility-to-obesity\/","title":{"rendered":"The integration of omic techniques for the identification of polygenic profiles of susceptibility to obesity (Duration:\u00a02016-2017)"},"content":{"rendered":"\n<p class=\"wp-block-paragraph\"><strong>Duration:<\/strong>&nbsp;2016-2017<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Abstract: <\/strong>Obesity is a major health problem worldwide, associated with environment factors but having also a strong genetic component. To date &gt;50 frequent SNPs were found to be associated with obesity-related traits by genome-wide association studies (GWAS). SNP GWAS have provided valuable insights into the genetic basis of obesity. However, all together explain only 2-3% of BMI variation, far from the 40-70% estimated heritability of obesity. It has recently been suggested that rare and low frequency alleles, as well as copy number variants (CNVs) could contribute to the lack of missing heritability in the genetic basis of obesity. However, these types of variation are not captured in current GWAS. Thus, the main objective of this project is to sequence the whole exome of 15 extreme obese individuals (BMI&gt;45kg\/m2) from European (CEU) ancestry and to compare all detected genetic variants with those obtained from around 400 CEU control individuals from 1000genomes database. So, an investigate between the association of anthropometric measures related to obesity with low frequency alleles and CNVs detected will be performed. At the end of this study, we expect to identify new candidate loci that can play a key factor in the etiology of obesity.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Coordinator (PI):<\/strong>&nbsp;Raquel Rodr\u00edguez-L\u00f3pez (HUGV, Spain)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Participants:<\/strong>&nbsp;David Albuquerque (CIAS), F\u00e1tima Gimeno Ferrer (FIHGUV), Carolina Monz\u00f3 Catalu\u00f1a (FIHGV), Goitzane Marcaida Benito (HGUV), Marcos Bruna (HGUV), Carlos S\u00e1nchez (HGUV), Carola Guzm\u00e1n Luj\u00e1n (HGUV), Laura Gand\u00eda Artigues (HGUV)<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Finantial support:<\/strong>&nbsp;Fundaci\u00f3n Investigaci\u00f3n Hospital Universitario General de Valencia (Spain). P20.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Duration:&nbsp;2016-2017 Abstract: Obesity is a major health problem worldwide, associated with environment factors but having also a strong genetic component. To date &gt;50 frequent SNPs were found to be associated with obesity-related traits by genome-wide association studies (GWAS). SNP GWAS have provided valuable insights into the genetic basis of obesity. However, all together explain only [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":"","_links_to":"","_links_to_target":""},"categories":[3],"tags":[],"clusters":[19],"researcher":[],"class_list":["post-1476","post","type-post","status-publish","format-standard","hentry","category-projects","clusters-genes-populations-and-diseases"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.9 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>The integration of omic techniques for the identification of polygenic profiles of susceptibility to obesity (Duration:\u00a02016-2017) - CIAS<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/cias.uc.pt\/pt-pt\/projects\/the-integration-of-omic-techniques-for-the-identification-of-polygenic-profiles-of-susceptibility-to-obesity\/\" \/>\n<meta property=\"og:locale\" content=\"pt_PT\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"The integration of omic techniques for the identification of polygenic profiles of susceptibility to obesity (Duration:\u00a02016-2017) - CIAS\" \/>\n<meta property=\"og:description\" content=\"Duration:&nbsp;2016-2017 Abstract: Obesity is a major health problem worldwide, associated with environment factors but having also a strong genetic component. 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