[ABE-L] Divulgação Seminário PPGEst UFRGS

[Danilo Marcondes]

Prezados,

Temos o prazer de convidar a todos para participação no nono seminário do
Ciclo de Seminários 2020 do Programa de Pós-Graduação em Estatística da
UFRGS (PPGEst-UFRGS).  Informações abaixo:

*Evento:* Ciclo de Seminários 2020 do PPGEst-UFRGS

*Palestrante: *Dr. Kevin L. Keys (Ambys Medicines)

*Título:* Cross-population generalizability of predictive models for gene
expression

*Resumo:* Gene expression is a core component of human physiology. However,
studies of genetically controlled gene expression and its effect on complex
disease phenotypes have remained prohibitively expensive until recently.
The advent of transcriptome-wide association studies (TWAS) arose
concurrently with large datasets of linked genotype and RNA sequencing
data, such as the Genotype-Tissue Expression Repository (GTEx) or the
Depression Genes Network (DGN) dataset. TWAS leverages this paired
genotype-expression information to create a powerful gene-based test of
association. While TWAS has successfully identified dozens of novel genetic
disease associations, recent interest has turned to possible sample biases
in the reference data, which are overwhelmingly of European descent. Little
is known about the generalizability of these models to other populations.
We test for cross-population generalizability of gene expression prediction
models using a dataset of African American individuals with whole blood
expression data. We find that the default models trained in large datasets
such as GTEx and DGN fare poorly in African Americans, with a notable
reduction in prediction accuracy when compared to European Americans. We
replicate these limitations in cross-population generalizability using the
five populations in the GEUVADIS dataset. Via realistic simulations of both
populations and gene expression, we show that accurate cross-population
generalizability of transcriptome prediction only arises when eQTL
architecture is substantially shared across populations. In contrast,
models with non-identical eQTLs showed patterns similar to real-world data.
These results point toward a pressing need to generate RNA-Seq data in
multiple global human populations as a critical step towards multi-ethnic
utility of gene expression prediction.



*Bio:* Kevin L. Keys is a computational biologist at Ambys Medicines, Inc.
Previously, he was a postdoctoral scholar at the UCSF Department of
Medicine and a Data Science Fellow at the Berkeley Institute for Data
Sciences at UC Berkeley. His biological research interests span
computational genomics, bioinformatics, and statistical genetics, and his
mathematical interests span scientific computing, high-dimensional
statistical inference, and mathematical optimization. Kevin completed his
M.S. and Ph.D in Biomathematics at UCLA with Kenneth Lange, where he
developed open-source penalized regression methods for genetic association
studies. He received his undergraduate degrees in mathematics and
linguistics from The University of Arizona.

*Data: *24 de agosto de 2020 (segunda-feira)

*Horário: *14h00 às 15:20 (1 hora de apresentação e 20 min para perguntas)

*Local: *Ambiente virtual Mconf

(Acesso pelo link  https://mconf.ufrgs.br/webconf/00040710)

*Moderador:* Prof. Dra. Gabriela Bettella Cybis



*OBS 1:* Após o acesso pelo link acima a participação na reunião será
autorizada pelo moderador por ordem de acesso. O sistema permite um limite
de 60 participantes.  Os participantes externos à UFRGS deverão acessar a
reunião através da opção “convidados”.

*OBS 2:  *A agenda de seminários pode ser acessada em
https://www.ufrgs.br/ppgest/seminarios/



*OBS 3:  *Abaixo os links para acessar as palestras anteriores autorizadas
*:*



Seminário 1 (Profa. Dra. Taiane Schaedler Prass, UFRGS)

Link:  https://youtu.be/_-DGDNepTno



Seminário 3 (Prof. Dr. Marcelo Bourguignon Pereira, UFRN)

Link:  https://youtu.be/lYqEw_VZqV4



Seminário 4 (Prof. Dr. Hedibert Freitas Lopes, Insper)

Link:  https://youtu.be/8PYG89fD8jQ



Seminário 5 (Prof. Dr. Marcelo Fernandes, FGV)

Link:  https://youtu.be/hzJu8D9qc2I



Seminário 6 (Prof. Dr. Francisco Cribari, FGV)

Link:  https://youtu.be/AM-NBUrADLg



Seminario 8

https://youtu.be/UHql_Uu1L3Y









Contamos com a presença de todos.

PPGEst-UFRGS

-- 

Danilo Marcondes Filho
Department of Statistics
Universidade Federal do Rio Grande do Sul (UFRGS)

Av. Bento Gonçalves, 9500 - Prédio 43-111 - Agronomia
91509-900 Porto Alegre - RS - BRAZIL
Tel:  + <+55%2051%203308-7301>55 51 3308 62 <+55%2051%203308-6194>14
<+55%2051%203308-6194> / <+55%2051%203308-6194> + <+55%2051%203308-7301>55
 51 999622276 <+55%2051%203308-6194>



<https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>
Livre
de vírus. www.avast.com
<https://www.avast.com/sig-email?utm_medium=email&utm_source=link&utm_campaign=sig-email&utm_content=webmail>.
<#DAB4FAD8-2DD7-40BB-A1B8-4E2AA1F9FDF2>
-------------- Próxima Parte ----------
Um anexo em HTML foi limpo...
URL: <https://lists.ime.usp.br/archives/abe/attachments/20200819/904057dc/attachment-0001.html>