{"id":12261,"date":"2018-02-12T16:52:56","date_gmt":"2018-02-12T15:52:56","guid":{"rendered":"https:\/\/news.embl.de\/?p=12261"},"modified":"2024-07-23T16:41:25","modified_gmt":"2024-07-23T14:41:25","slug":"mouse-study-identifies-new-diabetes-genes","status":"publish","type":"post","link":"https:\/\/www.embl.org\/news\/science\/mouse-study-identifies-new-diabetes-genes\/","title":{"rendered":"Study identifies new diabetes genes"},"content":{"rendered":"\n

Researchers at the European Bioinformatics Institute (EMBL-EBI), with colleagues at the Helmholtz Center Munich and the International Mouse Phenotyping Consortium (IMPC), have identified hundreds of genes that could play an important role in the development of metabolic diseases such as diabetes. Published in Nature Communications<\/em>, the study identified novel links to metabolic traits for 429 genes in mice, and showed that 23 of these genes may play a role in human diabetes.<\/p>\n\n\n\n

Background<\/h2>\n\n\n\n

Studying the biology of mice is incredibly useful for understanding disease in animals with similar genetics \u2013 for example, humans. The IMPC is a publicly funded initiative that aims to generate major efficiencies in research. It is doing this by systematically determining the function of every gene in the mouse genome. The generated data is freely available to everyone. IMPC researchers create computational models of disease in the mouse that anyone can use to explore how diseases arise and develop in humans<\/a>.<\/p>\n\n\n\n

What they did<\/h2>\n\n\n\n

In this study, the team of researchers used computational models of mice to identify genes involved in metabolic disease. They compared their results with genome data collected from human patients.<\/p>\n\n\n\n

\u201cWe analysed phenotypic data from over 2000 knock-out mice generated by the IMPC,\u201d explains Terry Meehan, IMPC Project Coordinator at EMBL-EBI. \u201cThese are mice that have had a gene \u201cturned off\u201d. By measuring physiological activities in these mice, we can see what biological systems are affected when a specific gene is not functioning. This gives us clues about how genetics is linked to disease, both in mice and humans.\u201d<\/p>\n\n\n\n

What they found<\/h2>\n\n\n\n

The team identified hundreds of genes associated with metabolism in mice. In 51 of them, the link with disease had been completely unknown to scientists.<\/p>\n\n\n\n

\u201cThe exciting thing is that we were able to use the human data collected by our partners in Munich to pinpoint 23 genes that appear to be linked to diabetes in humans,\u201d adds Meehan.<\/p>\n\n\n\n

\u201cOur analysis of the phenotyping data identified 974 genes whose loss has strong effects on glucose and lipid metabolism,\u201d says lead author Hrab\u011b de Angelis, Chair of Experimental Genetics at the Technical University of Munich. \u201cFor more than a third of these genes, no connection to metabolism was known previously.\u201d<\/p>\n\n\n\n

Why does it matter?<\/h2>\n\n\n\n

Genes are important drivers of disease, but we still don\u2019t know which ones<\/em> play an important role in human disease. It is only by deciphering cause and effect  that researchers can understand how diseases arise or develop therapeutic interventions.<\/p>\n\n\n\n

Researchers could use the newly identified diabetes genes as biomarkers to predict the risk of diabetes in an individual. They could also be useful for early diagnosis of the disease, or personalised approaches for treatment.<\/p>\n\n\n\n

This post was originally published on EBI News.<\/a><\/p>\n\n\n\n

\n\n

\"\"<\/p>\n\n

Some of the most fascinating questions in science are about origins. As part of our latest editorial theme, we\u2019re exploring the idea of origins at EMBL. We want to talk about the origins of biological systems, about our people and the paths that brought them here, and the discoveries and ideas that have their origins here.<\/p>\n\n

Read more articles in the Origins theme.<\/a><\/p>\n<\/div>\n\n\n\n

This post was originally published on EMBL-EBI News.<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Network of genes linked to development of diabetes<\/p>\n","protected":false},"author":47,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[2,17591],"tags":[28,474,36,40,41,559],"embl_taxonomy":[],"class_list":["post-12261","post","type-post","status-publish","format-standard","hentry","category-science","category-science-technology","tag-bioinformatics","tag-collaboration","tag-embl-ebi","tag-gene-regulation","tag-genetics","tag-origin"],"acf":{"article_intro":"

Scientists identify a network of genes that could play an important role in the development of diabetes<\/p>\n","related_links":[{"link_description":"","link_url":""},{"link_description":"","link_url":""}],"article_sources":[{"source_description":"

Rozman,\u00a0et al<\/em>.\u00a0Nature Communications<\/em>, (published online) 18 January 2018. DOI: 10.1038\/s41467-017-01995-2<\/p>\n","source_link_url":"https:\/\/www.nature.com\/articles\/s41467-017-01995-2"}],"vf_locked":false,"featured":false,"color":"#007B53","show_featured_image":false,"field_target_display":"embl","field_article_language":{"value":"english","label":"English"},"source_article":false,"in_this_article":false,"press_contact":"None","article_translations":false,"languages":""},"embl_taxonomy_terms":[],"yoast_head":"\nMouse study identifies new diabetes genes<\/title>\n<meta name=\"description\" content=\"Mouse study identifies new diabetes genes, and hundreds of genes that could play an important role in the development of metabolic disease.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.embl.org\/news\/science\/mouse-study-identifies-new-diabetes-genes\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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