David Conti (@dvconti) profile picture

David Conti

@dvconti
 Los Angeles, CA
Joined January 2014
  • Tweets17
  • Following189
  • Followers139
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Photo by David Conti (@dvconti)Photo by David Conti (@dvconti)Photo by David Conti (@dvconti)
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
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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) profile pictureNational Human Genome Research Institute@genome_gov16 Jun 2021
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. bit.ly/3wednRj
Image from National Human Genome Research Institute (@genome_gov)
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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/3362…
Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer - PubMed

Rare Variants in the DNA Repair Pathway and the Risk of Colorectal Cancer - PubMed

This study provides new insights into the genetic predisposition to colorectal cancer, which has potential for translation into improved risk prediction.

pubmed.ncbi.nlm.nih.gov
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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…

Those previously infected with COVID-19 should delay getting a vaccination

Evidence points to past COVID-19 infections producing strong immune responses which looks to be as effective as a vaccine.

calmatters.org
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How to become a SUCCESSFUL academic: a guide 1/n
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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/3340… @uscphs @USCBiostat @KECKSchool_USC
Prenatal metal mixtures and child blood pressure in the Rhea mother-child cohort in Greece - PubMed

Prenatal metal mixtures and child blood pressure in the Rhea mother-child cohort in Greece - PubMed

Prenatal exposure to high levels of molybdenum and lead, particularly in combination, may contribute to higher BP at age 4. These early effects appear to persist throughout childhood, contributing to...

pubmed.ncbi.nlm.nih.gov
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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/3340… @uscphs @USCBiostat @KECKSchool_USC
A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian...

A Hierarchical Approach Using Marginal Summary Statistics for Multiple Intermediates in a Mendelian...

Previous research has demonstrated the usefulness of hierarchical modeling for incorporating a flexible array of prior information in genetic association studies. When this prior information consists...

pubmed.ncbi.nlm.nih.gov
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LUCID paper pubmed.ncbi.nlm.nih.gov/3150… and R package: cran.r-project.org/web/packa…
A latent unknown clustering integrating multi-omics data (LUCID) with phenotypic traits - PubMed

A latent unknown clustering integrating multi-omics data (LUCID) with phenotypic traits - PubMed

Supplementary materials are available at Bioinformatics online.

pubmed.ncbi.nlm.nih.gov
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/… @uscphs @USCBiostat @KECKSchool_USC
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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/s41588-0… @uscphs @USCBiostat @KECKSchool_USC @USC_Research
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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/COVID1… @uscphs @USCBiostat @KECKSchool_USC
Image from David Conti (@dvconti)
Latest estimates for our LA County COVID model are at uscbiostats.github.io/COVID1… Current estimated percentage of infected (both observed and unobserved) is 2.88%. More detail at: medrxiv.org/content/10.1101/… @USCBiostat @uscphs @KECKSchool_USC
Image from David Conti (@dvconti)
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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/10.1101/… @usc @USCBiostat @uscphs
Image from David Conti (@dvconti)
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Why COVID-19 vaccines need to prioritize 'superspreaders' theconversation.com/why-covi… via @ConversationUS
Why COVID-19 vaccines need to prioritize ‘superspreaders’

Why COVID-19 vaccines need to prioritize ‘superspreaders’

A team of experts argues that after taking care of essential workers, COVID-19 vaccinations should be given to the greatest transmitters of the virus, who are mostly the young.

theconversation.com
Replying to @blekhman
Made me think of this one
Image from Julian Verdonk (@julianverdonk.bsky.social) (@JulianVerdonk)
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Great discussion for high performance computing today at the Core C meeting @USCBiostat
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