Travis Mallard (@wakeworksleep) header
Travis Mallard (@wakeworksleep) profile picture

asst prof | clinical psychologist | some sort of geneticist | not a neuroscientist | @mghpsychiatry @harvardmed | mixer of metaphors | engagement ≠ endorsement

exploring extraphysic empires
Joined December 2013
Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)Photo by Travis Mallard (@wakeworksleep)
🧬🧠 Check out our latest preprint on the genetics of impulsivity! medrxiv.org/content/10.1101/… In this paper, we examined ‘lumping’ versus ‘splitting’ models of impulsivity and characterized the shared and unique biology across multiple levels. A few key findings below! 🧵
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(10/14) Importantly, genome-wide genetic correlation only told part of the story Using MiXeR, we found extensive shared polygenic architecture with many disorders—even when overall genetic correlation was small or absent
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(5/14) We then performed a multivariate GWAS of this cortical expansion factor This identified: 🧬 48 genomic loci 🧬 30 effector genes 🧬 Multiple novel associations that were not genome-wide significant in any individual imaging phenotype.
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1/9 🚨 BREAKING OUT OF STEALTH MODE 🚨 Multivariate GWAS in Genomic SEM now runs on a laptop! New preprint + package update: a closed-form analytic solution makes multivariate GWAS ~800× faster, cutting runtimes from hours on HPC clusters to minutes on a personal computer.
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Family-GWAS results were critical in testing the robustness of inferences of natural selection in the recent Akbari/Reich paper. We're releasing family-GWAS sumstats on 28 phenotypes on thessgac.com/ data portal, using the powerful method we developed in Guan et al.
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Our multi-ancestry GWAS of EXTernalizing conditions (ADHD, substance use...) in ~4M people reveals neurodevelopmental risk, drug-repurposing targets, and yields one of the strongest psychiatric polygenic indices yet! 🧬🎉 doi.org/10.64898/2026.02.09.…
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Excited to report our study in @NEJM on the discovery of deletions in a long noncoding RNA gene 🧬 (𝘊𝘏𝘈𝘚𝘌𝘙𝘙) as the cause of a newly defined human neurodevelopmental disorder 🧠. 🧵1/10 nejm.org/doi/full/10.1056/NE…
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Having referred to it a few times this week, here is a (IMO) slightly more user friendly derivation of the LD-score regression estimator of heritability and its assumptions: gusevlab.org/projects/hsq/ld…
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Our paper (@bogglerapture @damadam, @dmoracze , Siyuan Liu, @wakeworksleep) on sex differences in the genetic architecture of the human brain anatomy is now out in @NatureComms @SpringerNature ! rdcu.be/dTUX1 Please see original post below for details…
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It took me SEVEN years to figure out that you can save a ggplot as a vectorized .svg file ggsave("file.svg"). The svg file can be opened on powerpoint and it will be completely vectorized, even text are still recognized as text boxes! No more recreating plots on illustrator!!!!!
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Yesterday I wrote a thread about why an infographic circulating was misinformation. I wanted to respond to some comments and questions, offer a new (perhaps more intuitive) calculation (thread)
This is wrong, but there is a lot of confusion about why (thread)
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Excited to share that our new paper in Nature Genetics! Huge thanks to @hailianghuang and @getian107 for supervising this project and to @broadinstitute, @CGM_MGH and @PGCgenetics for supporting the research. rdcu.be/dR0sF
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🧠NEW WORK OUT NOW ON THE ARCHITECTURE OF HUMAN CORTICAL FOLDING ! 🧠 in ⁦@NeuroCellPress⁩ by the one and only ⁦@will_snyder98⁩ 🤩 wt dream team ⁦@petra_vertes⁩ ⁦@edbullmore⁩ & fab collabs. 👀🔗& Will’s 🧵⬇️ teapaw.org/will_snyder98/status/1… cell.com/neuron/fulltext/S08…
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Excited to share my 1st-author work from the @arbelharpak Lab! We examine the accuracy of polygenic score (PGS) predictions across individuals in the UK Biobank. We make 3 observations that expose gaps in our understanding of PGS “portability”. biorxiv.org/content/10.1101/… (1/28)
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"Here, we present two real-world examples demonstrating that sample overlap and relatedness is not a minor or theoretical concern but an important potential source of bias in PRS studies." Ellis et al. AJHG cell.com/ajhg/abstract/S0002…
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Introducing real-time PRS-CS! Excited to share our new preprint with @getian107. Optimized for healthcare settings, rtPRS-CS ensures patients receive the most up-to-date genetic risk prediction by dynamically updating PRS weights using streaming data. 1/7 medrxiv.org/content/10.1101/…
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Our paper is now available in @NatMentHealth! 🤩
[1/6] Preprint 🚨“Do the genetic and phenotypic factor structures of psychopathology differ?” “What factors better capture comorbidity and shared etiology across disorders?” “How do factor polygenic scores predict brain & biobehavioral outcomes?“ medrxiv.org/content/10.1101/…
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‼️ Paper alert ‼️ "Deciphering the functional specialization of whole-brain spatiomolecular gradients in the adult brain" now published in PNAS!! How is brain function organized? Regions vs. gradients? Geodesic vs geometric? We add to the debate! pnas.org/doi/10.1073/pnas.22… 1/
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