David Conti

How is #cancer risk different among #diverse populations? Faculty @dvconti and @ChrisHaiman are making it their mission to find out. bit.ly/3guB6H7 @genome_gov

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

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 pubmed.ncbi.nlm.nih.gov/33627384/

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. calmatters.org/commentary/my-…

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

New paper with @CG_Howe and @ChatziLida on prenatal metal mixtures and child blood pressure. Uses advanced analysis techniques for mixtures (BKMR etc.): pubmed.ncbi.nlm.nih.gov/33407552/ @uscphs @USCBiostat @KECKSchool_USC

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: pubmed.ncbi.nlm.nih.gov/33404048/ @uscphs @USCBiostat @KECKSchool_USC

LUCID paper pubmed.ncbi.nlm.nih.gov/31504184/ and R package: cran.r-project.org/web/packages/L…

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. factor.niehs.nih.gov/2021/1/feature… @uscphs @USCBiostat @KECKSchool_USC

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. nature.com/articles/s4158… @uscphs @USCBiostat @KECKSchool_USC @USC_Research

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 uscbiostats.github.io/COVID19/ @uscphs @USCBiostat @KECKSchool_USC

Latest estimates for our LA County COVID model are at uscbiostats.github.io/COVID19/ Current estimated percentage of infected (both observed and unobserved) is 2.88%. More detail at: medrxiv.org/content/10.110… @USCBiostat @uscphs @KECKSchool_USC

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. medrxiv.org/content/10.110… @usc @USCBiostat @uscphs

Why COVID-19 vaccines need to prioritize 'superspreaders' theconversation.com/why-covid-19-v… via @ConversationUS

@blekhman Made me think of this one

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