David Conti

[Population and Public Health Sciences at USC @uscpphs]

How is #cancer risk different among #diverse populations? Faculty @dvconti and @ChrisHaiman are making it their mission to find out. https://t.co/mAONrKMFdj @genome_gov

[David Conti @dvconti]

Constructing and evaluating risk models in non-European ancestry populations is essential to broaden the impact of genomic medicine. Excited to be a part of this group @ChrisHaiman @johnwitte @GENES_PK and others supported by the consortium. @KECKSchool_USC @uscphs @USCBiostat

[National Human Genome Research Institute @genome_gov]

Research studies are starting to use polygenic risk scores to determine a person’s inherited risk for diseases. @NIH is awarding grants to develop methods that will improve how polygenic risk scores can be used to predict disease in diverse communities. https://t.co/WXu1XzOJXT

[David Conti @dvconti]

New paper examining rare variants in the DNA repair pathway and the risk of colorectal cancer. Uses integrated Bayesian Risk Index, a method to incorporate prior information @uscphs @USCBiostat @KeckMedUSC https://t.co/gET4EiZYpH

[USC Schaeffer @USCSchaeffer]

People previously infected with COVID-19 should postpone getting vaccinated so more vulnerable groups can be prioritized, argues Schaeffer Center’s Neeraj Sood @USCPrice, and Abigail Horn and @dvconti of @KECKSchool_USC. https://t.co/V1wpH0OMBC

[Maarten van Smeden @MaartenvSmeden]

How to become a SUCCESSFUL academic: a guide 1/n

[David Conti @dvconti]

New paper with @CG_Howe and @ChatziLida on prenatal metal mixtures and child blood pressure. Uses advanced analysis techniques for mixtures (BKMR etc.): https://t.co/SLanbY5oFf
@uscphs @USCBiostat @KECKSchool_USC

[David Conti @dvconti]

hJAM: Hierarchical Modeling for Joint Analysis of Marginal Summary Statistics - method for MR and TWAS and other omic data. Our @Lai42491643 @nmancuso_ new approach just published: https://t.co/8L78yS1Gm0
@uscphs @USCBiostat @KECKSchool_USC

[David Conti @dvconti]

LUCID paper https://t.co/Fyy1ZJ1PPd
and R package: https://t.co/lsZSjxSmbs

[David Conti @dvconti]

Congrats to @ChatziLida team for NIEHS 2020 paper of the year! Uses LUCID to identified children at high risk for liver injury, integrating prenatal PFAS exposures and metabolomic profiles. https://t.co/PIYWhRJEw5
@uscphs @USCBiostat @KECKSchool_USC

[David Conti @dvconti]

Our @BurcuDarst new paper on trans-ancestry GWAS for prostate cancer. We develop a genetic risk score and estimate absolute risk in four major ancestry groups. https://t.co/7WvpUzZJiM
@uscphs @USCBiostat @KECKSchool_USC @USC_Research

[David Conti @dvconti]

The surge continues in Los Angeles County. As of 12/23/20, we estimate 3.7% of the county's population is currently infected and daily deaths are rising. Latest model estimates at https://t.co/2SDO3sCizi
@uscphs @USCBiostat @KECKSchool_USC

[David Conti @dvconti]

Latest estimates for our LA County COVID model are at https://t.co/2SDO3sCizi
Current estimated percentage of infected (both observed and unobserved) is 2.88%.
More detail at: https://t.co/1Osmmb50Nl
@USCBiostat @uscphs @KECKSchool_USC

[David Conti @dvconti]

Our new paper modeling the COVID-19 epidemic in Los Angeles County. Includes risk-stratified estimates of case fatality rates and infection fatality rates across different time points. https://t.co/1Osmmb50Nl @usc @USCBiostat @uscphs

[David Conti @dvconti]

Why COVID-19 vaccines need to prioritize 'superspreaders' https://t.co/ajBP90OxLX via @ConversationUS

[Julian Verdonk (@julianverdonk.bsky.social) @JulianVerdonk]

@blekhman Made me think of this one

[David Conti @dvconti]

Great discussion for high performance computing today at the Core C meeting @USCBiostat