{"id":106,"date":"2015-01-26T21:57:47","date_gmt":"2015-01-26T21:57:47","guid":{"rendered":"http:\/\/willistonblogs.com\/bulletin\/?p=106"},"modified":"2015-01-26T22:16:56","modified_gmt":"2015-01-26T22:16:56","slug":"getting-results-extras","status":"publish","type":"post","link":"https:\/\/willistonblogs.com\/bulletin\/2015\/01\/26\/getting-results-extras\/","title":{"rendered":"Getting Results: Extras"},"content":{"rendered":"<p><a href=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/WNF14-7455.jpg\"><img loading=\"lazy\" decoding=\"async\" class=\"alignleft wp-image-112\" src=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/WNF14-7455-200x300.jpg\" alt=\"WNF14-7455\" width=\"300\" height=\"450\" srcset=\"https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/WNF14-7455-200x300.jpg 200w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/WNF14-7455-166x250.jpg 166w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/WNF14-7455.jpg 427w\" sizes=\"(max-width: 300px) 100vw, 300px\" \/><\/a>Emily Grussing \u201915 was in AP Calculus when she learned the news: a scientific paper she researched and co-authored had just been accepted for publication.<\/p>\n<p>\u201cIt was the greatest thing. I didn\u2019t expect to get published,\u201d Ms. Grussing said. \u201cIt wasn\u2019t something I even believed was possible.\u201d<\/p>\n<p>Ms. Grussing had spent the summer interning at Dartmouth College\u2019s Geisel School of Medicine where she was charged with researching links between chemicals and cancers. To do so, Ms. Grussing learned coding basics, dove into online research, and analyzed and constructed scientific networks.<\/p>\n<p>\u201cI loved being in the environment of the lab,\u201d Ms. Grussing said, adding, \u201cI never had to do such self-learning in my life before.\u201d<\/p>\n<p>The resulting paper, which Ms. Grussing helped write, was accepted by the Pacific Symposium on Biocomputing, where it was presented on January 8. The paper will also be published on PubMed Central, an archive of scientific publications.<\/p>\n<p><!--more--><\/p>\n<p>Although few high school students can claim authorship on a scientific paper, Ms. Grussing took the announcement in stride.<\/p>\n<p>\u201cI was really excited. I told some of my friends in math class,\u201d she said. \u201cAnd then I went to my room and did my math homework.\u201d<\/p>\n<p>The following is the paper&#8217;s abstract and two of the figures. <a href=\"http:\/\/www.ncbi.nlm.nih.gov\/pubmed\/?term=A+Bipartite+Network+Approach+to+Inferring+Interactions+Between+Environmental+Exposures+and+Human+Diseases\">See the full publication on PubMed<\/a>:<\/p>\n<h4>Abstract<\/h4>\n<p>&#8220;A Bipartite Network Approach to Inferring Interactions Between Environmental Exposures and Human Diseases&#8221;<\/p>\n<p>By Christian Darabos, Emily D. Grussing, Maria E. Cricco, Kenzie A. Clark, Jason H. Moore<\/p>\n<p>Institute for the Quantitative Biomedical Sciences, The Geisel School of Medicine at Dartmouth College, Lebanon, NH<\/p>\n<p><span class=\"highlight\">Environmental<\/span> exposure is a key factor of understanding health and <span class=\"highlight\">diseases<\/span>. Beyond genetic propensities, many disorders are, in part, caused by <span class=\"highlight\">human<\/span> interaction with harmful substances in the water, the soil, or the air. Limited data is available on a disease or substance basis. However, we compile a global repository from literature surveys matching <span class=\"highlight\">environmental<\/span> chemical substances exposure with <span class=\"highlight\">human<\/span> disorders. We build a <span class=\"highlight\">bipartite<\/span> <span class=\"highlight\">network<\/span> linking 60 substances to over 150 disease phenotypes. We quantitatively and qualitatively analyze the <span class=\"highlight\">network<\/span> and its projections as simple networks. We identify mercury, lead and cadmium as associated with the largest number of disorders. Symmetrically, we show that breast cancer, harm to the fetus and non-Hodgkin&#8217;s lymphoma are associated with the most <span class=\"highlight\">environmental<\/span> chemicals. We conduct statistical analysis of how vertices with similar characteristics form the <span class=\"highlight\">network<\/span> <span class=\"highlight\">interactions<\/span>. This dyadicity and heterophilicity measures the tendencies of vertices with similar properties to either connect to one-another. We study the dyadic distribution of the substance classes in the networks show that, for instance, tobacco smoke compounds, parabens and heavy metals tend to be connected, which hint at common disease causing factors, whereas fungicides and phytoestrogens do not. We build an exposure <span class=\"highlight\">network<\/span> at the systems level. The information gathered in this study is meant to be complementary to the genome and help us understand complex <span class=\"highlight\">diseases<\/span>, their commonalities, their causes, and how to prevent and treat them.<\/p>\n<p>Keywords: Exposure; Complex Diseases; Substances; Bipartite Network; Dyadicity; Heterophilicity; Human Phenotype Network.<\/p>\n<figure id=\"attachment_108\" aria-describedby=\"caption-attachment-108\" style=\"width: 474px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-108 size-large\" src=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43-1024x315.png\" alt=\"Courtesy of Christian Darabos and Emily Grussing\" width=\"474\" height=\"145\" srcset=\"https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43-1024x315.png 1024w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43-300x92.png 300w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43-250x76.png 250w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.43.png 1056w\" sizes=\"(max-width: 474px) 100vw, 474px\" \/><\/a><figcaption id=\"caption-attachment-108\" class=\"wp-caption-text\">Fig. 1. Schematic representation of a Bipartite Network (b) and its projection in the space of either vertex set (a) and (c).<\/figcaption><\/figure>\n<figure id=\"attachment_109\" aria-describedby=\"caption-attachment-109\" style=\"width: 777px\" class=\"wp-caption aligncenter\"><a href=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.14.png\"><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-109 size-full\" src=\"http:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.14.png\" alt=\"Courtesy of Christian Darabos and Emily Grussing\" width=\"777\" height=\"816\" srcset=\"https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.14.png 777w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.14-285x300.png 285w, https:\/\/willistonblogs.com\/bulletin\/files\/2015\/01\/Screenshot-2015-01-26-16.44.14-238x250.png 238w\" sizes=\"(max-width: 777px) 100vw, 777px\" \/><\/a><figcaption id=\"caption-attachment-109\" class=\"wp-caption-text\">Fig. 4. Projections. Nodes are colored according to their (majority) substance group according to the legend. (a) projection of the bipartite network onto the disease\/trait space. Node sizes are proportionate to the number of substances associated. Edges are weighted by the number of shared substances. (b) projection of the bipartite network on the substances space. Node sizes are proportionate to the number of diseases associated. Edges are weighted as the number of shared diseases.<\/figcaption><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Emily Grussing \u201915 was in AP Calculus when she learned the news: a scientific paper she researched and co-authored had just been accepted for publication. \u201cIt was the greatest thing. I didn\u2019t expect to get published,\u201d Ms. Grussing said. \u201cIt wasn\u2019t something I even believed was possible.\u201d Ms. Grussing had spent the summer interning at &hellip; <a href=\"https:\/\/willistonblogs.com\/bulletin\/2015\/01\/26\/getting-results-extras\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Getting Results: Extras<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_s2mail":"yes","footnotes":""},"categories":[13,4],"tags":[],"class_list":["post-106","post","type-post","status-publish","format-standard","hentry","category-campus-news","category-in-short"],"aioseo_notices":[],"_links":{"self":[{"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/posts\/106"}],"collection":[{"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/comments?post=106"}],"version-history":[{"count":7,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/posts\/106\/revisions"}],"predecessor-version":[{"id":117,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/posts\/106\/revisions\/117"}],"wp:attachment":[{"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/media?parent=106"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/categories?post=106"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/willistonblogs.com\/bulletin\/wp-json\/wp\/v2\/tags?post=106"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}