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X-WR-CALDESC:Events for Institute for Quantitative and Computational Biosciences
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DTSTART;TZID=America/Los_Angeles:20210416T110000
DTEND;TZID=America/Los_Angeles:20210416T113000
DTSTAMP:20260518T055045
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LAST-MODIFIED:20210409T061938Z
UID:17608-1618570800-1618572600@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Juan de la Hoz Gomez (Olde Loohuis & Freimer)
DESCRIPTION:TITLE:“Longitudinal phenotyping of Severe Mental Illness from Electronic Health Records.” \nABSTRACT:Electronic Health Records (EHRs) offer an exciting avenue for large-scale genetic studies of psychiatric disorders in globally diverse populations. As a potential source of inexpensive and longitudinal phenotypes\, they are key for the study of severe mental illness trajectories. The Clinica San Juan de Dios is the only psychiatric hospital in Caldas\, Colombia\, serving a population of 1M people. We leverage their 15+ years of EHRs in order to 1) validate diagnoses of severe mental illness\, 2) extract trans-diagnostic symptom information from free text using clinical NLP\, and 3) explore patterns of temporal phenotypic variation. In addition to providing insights into the trajectory of psychiatric diagnoses\, this dataset serves as a valuable resource for genetic investigation of mental illness in admixed populations.
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-juan-de-la-hoz-gomez-olde-loohuis-freimer/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Juan-de-la-Hoz-Gomez.jpg
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DTSTART;TZID=America/Los_Angeles:20210416T113000
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DTSTAMP:20260518T055045
CREATED:20210323T145340Z
LAST-MODIFIED:20210416T225835Z
UID:17611-1618572600-1618574400@qcb.ucla.edu
SUMMARY:QCBio Research Seminar: Alec Chiu (Sankararaman)
DESCRIPTION:TITLE: “Population structure inference for biobank-scale data.” \nABSTRACT: Inferring the structure of human populations from genetic variation data is a key task in population and medical genomic studies. While a number of methods for population structure inference have been proposed\, current methods are impractical to run on biobank-scale genomic datasets containing millions of individuals and genetic variants. We introduce SCOPE\, a method that can infer population structure from biobank-scale data. We show that SCOPE is as or more accurate than existing methods while being orders of magnitude faster. SCOPE able to infer population structure in about a day on a dataset consisting of one million individuals and SNPs. Furthermore\, SCOPE is able to incorporate allele frequencies from previous studies in a supervised fashion to further aid interpretability of estimated admixture proportions.  \n\nhttps://qcb.ucla.edu/wp-content/uploads/sites/14/2021/03/Alec-Chiu-edited.mp4
URL:https://qcb.ucla.edu/event/qcbio-research-seminar-alec-chiu-sankararaman/
LOCATION:ZOOM\, CA\, United States
CATEGORIES:Research Seminars
ATTACH;FMTTYPE=image/jpeg:https://wp-misc.lifesci.ucla.edu/qcb/wp-content/uploads/sites/14/2021/03/Alec-Chiu-scaled.jpeg
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