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"></span><span style='font-family:"Microsoft YaHei Light",sans-serif;color:#073763'> <a href="https://statistics.yale.edu/" target="_blank" title=Home><span style='font-size:22.0pt'>Department of Statistics and Data Science </span></a></span><i><span style='font-size:22.0pt;font-family:"Microsoft YaHei Light",sans-serif;color:#073763'> </span></i><span style='font-family:"Microsoft YaHei Light",sans-serif'><o:p></o:p></span></p><p class=MsoNormal style='background:white'><u><span style='font-size:16.0pt;color:#073763'>You are invited to a scheduled Zoom Seminar</span><o:p></o:p></u></p><h1 style='mso-margin-top-alt:.1in;margin-right:0in;margin-bottom:0in;margin-left:0in;background:white'><span style='font-size:23.0pt;font-family:Mallory;color:#003C76;text-transform:uppercase;font-weight:normal'>RENATO POLIMANTI</span><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>, <span class=odd>Yale University School of Medicine</span></span><span style='font-size:13.0pt;font-family:Mallory;color:#222222;font-weight:normal'><o:p></o:p></span></h1><p class=MsoNormal style='background:white'><!--[if gte vml 1]><v:shapetype id="_x0000_t75" coordsize="21600,21600" o:spt="75" o:preferrelative="t" path="m@4@5l@4@11@9@11@9@5xe" filled="f" stroked="f">
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</v:shape><![endif]--><![if !vml]><img width=139 height=167 style='width:1.4479in;height:1.7395in' src="cid:image004.jpg@01D7B69C.6CD21660" align=left hspace=12 v:shapes="Picture_x0020_3"><![endif]><span class=date-display-single><span style='font-size:13.5pt;font-family:Mallory;color:#003C76'>Monday, October 04, 2021</span></span><span class=date-display-single><span style='font-size:13.5pt;color:#003C76'><o:p></o:p></span></span></p><p class=MsoNormal style='background:white'><span class=date-display-start><span style='font-size:13.5pt;font-family:Mallory;color:#003C76'>4:00PM</span></span><span class=date-display-range><span style='font-size:13.5pt;font-family:Mallory;color:#003C76'> to </span></span><span class=date-display-end><span style='font-size:13.5pt;font-family:Mallory;color:#003C76'>5:00PM</span></span><o:p></o:p></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Zoom: <a href="https://yale.zoom.us/j/99169700816?pwd=SWEvWHI5d3dPNVdHMkZMZURMWWJPUT09">https://yale.zoom.us/j/99169700816?pwd=SWEvWHI5d3dPNVdHMkZMZURMWWJPUT09</a> <o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Password: 24<o:p></o:p></span></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:15.0pt;font-family:Mallory;color:#222222'>Title: Big Data Analytics Applied to the Molecular Basis of Human Traits and Diseases<o:p></o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></b></p><p class=MsoNormal style='background:white'><b><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Information and Abstract: <o:p></o:p></span></b></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Most human traits and diseases are characterized by a complex molecular architecture where a wide range of biological pathways contribute to their predisposition. Hypothesis-generating studies based on genomic screening (e.g., genome-wide association studies, epigenome-wide association studies, whole-genome sequencing, RNA sequencing, and bisulfite genomic sequencing) are a powerful approach to dissect the polygenicity of the human phenome. However, to be informative, these approaches require large cohorts achievable with the integration of international consortia and large biobanks to pool together samples and reach an adequate statistical power. Beyond the identification of specific genes associated with traits and diseases, large-scale genomic datasets can be used to investigate the biology of the human phenotypic spectrum, modeling causal networks and molecular mechanisms shared among physiological and pathological conditions. Due to the growing number of large-scale genomic datasets available, there is a rapid increase of methods to conduct computational investigations. The goal of this seminar is to provide an overview of how we can use <em><span style='font-family:Mallory'>Big Data Analytics</span></em> to dissect the molecular basis of human traits and diseases. I will present few examples of the studies conducted by my group, also including collaborations with the Psychiatric Genomics Consortium, the Million Veteran Program, and the COVID-19 Host Genetics Initiative, I will describe current challenges and limitations and discuss the need to develop new analytic approaches to improve our ability to translate molecular findings into clinical practice.<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'><o:p> </o:p></span></p><p style='margin:0in;background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Zoom is Yale’s audio and visual conferencing platform.<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Topic: Yale S&DS Department Seminar<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Time: 4:00pm - 5:00pm<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>Join from PC, Mac, Linux, iOS or Android: <a href="https://yale.zoom.us/j/99169700816?pwd=SWEvWHI5d3dPNVdHMkZMZURMWWJPUT09" target="_blank"><span style='color:#286DC0'>https://yale.zoom.us/j/99169700816?pwd=SWEvWHI5d3dPNVdHMkZMZURMWWJPUT09</span></a><o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'> Password: 24<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'> Or Telephone</span><span lang=JA style='font-size:13.0pt;font-family:"MS Gothic";color:#222222'>：</span><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>203-432-9666 (2-ZOOM if on-campus) or 646 568 7788<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'> Meeting ID: 991 6970 0816<o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'> International numbers available: <a href="https://yale.zoom.us/u/acBOaD1ic6" target="_blank"><span style='color:#286DC0'>https://yale.zoom.us/u/acBOaD1ic6</span></a><o:p></o:p></span></p><p style='margin:0in;background:white;box-sizing: inherit'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'>For H.323 and SIP information for video conferencing units please click here: <a href="https://yale.service-now.com/it?id=support_article&sys_id=434b72d3db9e8fc83514b1c0ef961924" target="_blank"><span style='color:#286DC0'>https://yale.service-now.com/it?id=support_article&sys_id=434b72d3db9e8fc83514b1c0ef961924</span></a><o:p></o:p></span></p><p class=MsoNormal style='background:white'><span style='font-size:13.0pt;font-family:Mallory;color:#222222'> <o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Arial",sans-serif'> <o:p></o:p></span></p><p class=MsoNormal style='mso-margin-top-alt:auto;mso-margin-bottom-alt:auto'><span style='font-size:12.0pt;font-family:"Arial",sans-serif'> <o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>