Psychiatric, statistical, and imaging geneticist. Interested in translational methods and modeling addiction comorbidity. WUSM Psych. Tweets are my own. He/His
Preprint alert:
https://t.co/vJGDUO0qc4
TL;DR Biotech practices taking a handful of genetic variants and training a #MachineLearning#ML#AI model are based on unsound science, and will lead to medical discrimination. We demonstrate this with Opioid Dependence (OD)....
I'll be teaching at the JAX Lab Short course on the Genetic of Addiction. Check it out if you want to advance your knowledge on a range of topics from animals and human genetics.
I’m proud to have co-signed this letter of concern, published today in @TheLancet Psychiatry, alongside 140 international experts in psychiatric genetics. Innovation should benefit patients without causing greater harm.
#WCPG2024@AlexanderHatoum
https://t.co/BZF56L1PtL
SUDs are heterogenous concepts. To understand genetic effects on SUDs, we need to contextualize genetic effects on behavior, brain, and development. In this review, Bogdan and Colleagues develop a framework for contextualizing discoveries in SUDs.
https://t.co/2IYH0pn9eZ
A study led by @e_covey_johnson examined genetic relationships among schizophrenia, cannabis use, and cigarette smoking. The study identified 327 pleiotropic variants (150 novel) and provided insight into shared genetic factors and potential causal links.
https://t.co/PASV10HKrH
📝📝Pop Quiz: One of the largest effect sizes of any SNP on a polygenic trait influences behavior (#2 after hair color), can you guess the trait and gene? 📝📝
(Hint: This is the PGC substance use disorder takeover)
📢 New study led by Christal N. Davis, and colleagues reveals that candidate genes from an FDA-approved algorithm fail to predict opioid use disorder (OUD) risk in over 450,000 veterans. This study raises concerns about the clinical utility of the algorithm in predicting OUD. 🚨
Hi Everyone - the substance use disorders working group (PGC-SUD) will be taking over the @PGCgenetics account for the next two weeks.
Follow along as we share exciting updates and papers, highlight recent news, and spotlight important progress in the field overall. Join us!
In the largest study of problematic alcohol use (PAU) to date led by Hang Zhou of @YalePsych, researchers identified >100 risk variants across multiple ancestral populations and found significant genetic correlations with PAU in non-European individuals.
https://t.co/txwZlubxhc
A study of cannabis use disorder (CanUD) led by @dflevey1 of @YalePsych identified risk variants in each of the studied ancestry groups, found distinctions between CanUD and cannabis use, and helped place cannabis traits among other related health outcomes
https://t.co/Jtra8epbJU
A study led by @AlexanderHatoum found evidence for a generalized addiction risk factor that identified 19 risk variants including variants involved in dopamine regulation, along with many substance-specific variants involving drug metabolism and receptors.
https://t.co/x9n99bifry
A recent preprint led by Christal Davis and Henry Kranzler found no evidence to support the clinical utility of a set of 15 genetic variants that are the basis of an FDA-approved genetic screener for identifying individuals at risk for opioid use disorder.
https://t.co/GHXR53rKvA
In a @PGCgenetics special issue of Psychological Medicine (@CambUP_Psych), PGC-SUD researchers
@e_covey_johnson and @Joseph_Deak provide a review covering the genetics of substance use disorders: https://t.co/jrrJ7HE1le
Congratulations to PGC-SUD researcher @Alex_PMiller on his recently awarded K01 from @NIAAAnews. Alex will examine neurogenetic influences linking impulsivity and alcohol use disorder progression across development at @IUMedSchool and his work with @PGCgenetics and @COGA_alcohol.
Our article exploring the neurobiological correlates of prenatal cannabis exposure is now out! "Prenatal cannabis exposure, the brain, and
psychopathology during early adolescence" https://t.co/aEiDj7j9Kj
New Review: Here, we discuss the history and logic behind emerging GWAS studies that analyze common genetic risk across substance use disorders. This is part of a larger genetics of SUDs review series by JCI, Check it out!
https://t.co/EC3VDjEmhh