Jonathan Sebat

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Jonathan Sebat

Jonathan Sebat

@sebatlab

From DNA to the brain. Occasionaly fatherhood, cycling, indie rock. No, Dad will not turn his music down.

La Jolla, CA Katılım Ekim 2014
2.8K Takip Edilen5K Takipçiler
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Jonathan Sebat
Jonathan Sebat@sebatlab·
I'm pleased to share our latest preprint: Combinatorial effects of gene dosage, polygenic background and environment on complex traits 🧵medrxiv.org/content/10.648…
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Jonathan Sebat
Jonathan Sebat@sebatlab·
Every lab has a secret weapon. Be that weapon
GIF
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Matt Smethurst
Matt Smethurst@MattSmethurst·
A news reporter asked Michael Jordan if he thought the ’90s Bulls could beat LeBron’s Lakers. MJ: Yes. Reporter: By how much? MJ: Two or three points. Reporter: Why so close? MJ: Most of us are almost 60 now.
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Jonathan Sebat
Jonathan Sebat@sebatlab·
Maybe I won’t need to do lengthy Twitter threads about my own papers if I can trick @doctorveera into doing them 🤔
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Christine Mayr
Christine Mayr@Mayr_Christine·
If you want to know what 3′UTRs with long conserved sequence stretches do, check out our BioRxiv preprint doi.org/10.64898/2026.…. They form functional intermolecular 3′UTR-3′UTR interactions that enable co-folding of proteins to rapidly induce transcriptional programs.
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Sasha Gusev
Sasha Gusev@SashaGusevPosts·
New work from us pooling together clinical sequencing data to identify large effect common risk variants for rare cancer types. This included a novel HLA locus that interacts with HPV infection to increase Anal Cancer risk.
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Jonathan Sebat
Jonathan Sebat@sebatlab·
@MariosGeorgakis Where did ther term "masking" come from? Computer science? Old school computational geneticists like me tend to use terms like variant "tier" or "class" or a "scoring threshold"
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Marios Georgakis
Marios Georgakis@MariosGeorgakis·
Selecting rare coding variants to include in gene burden tests is increasingly complex. Each study applies a different "masking" strategy based on functional impact & frequency. This nice paper reviews different strategies, compares them, and proposes a default approach.
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Cell Genomics
Cell Genomics@CellGenomics·
Buffering of gene dosage response curves for human complex traits dlvr.it/TSQXBN
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Kristin Baldwin
Kristin Baldwin@kkbaldwin238·
@sebatlab @EricTopol I agree but why did the largest group of us choose ASHG and SFN ? i chose it instinctively - could it be the balance between n=high numbers and also low variance based on few other confounds ? call me old fashioned
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Eric Topol
Eric Topol@EricTopol·
Six (yes, 6) college football players with non-concussive head injury (NHI) and changes in their gut microbiome. No controls. What can you conclude from this? Not this: "Our results provide strong evidence for a link between NHIs and changes in the diversity and composition of the gut microbiome." journals.plos.org/plosone/articl…
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Jonathan Sebat
Jonathan Sebat@sebatlab·
@EricTopol I do realize that Kurt Cobain’s current microbiome would be an outlier
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Matthew Herper
Matthew Herper@matthewherper·
This, from @MeganMolteni, is frickin' cool. "How a global effort to explore the ‘dark proteome’ is upending our understanding of human disease." I remember when everyone was shocked that there were only 30,000 protein-coding genes found by the Human Genome Project. This is why: there are all these layers of complexity with RNA and protein fragments "editing" that original script. It's far more complicated than geneticists imagined 25 years ago. Fascinating, daunting, and kind of a beautiful mess. statnews.com/2026/05/06/dar…
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Todd Lencz
Todd Lencz@ToddLencz·
@MariosGeorgakis Polygenic would only approach monogenic in limited circumstances: 1) polygenic disorders with >=1 strong peak, such as Type 1 diabetes (which is really oligogenic); 2) monogenic risk factors that are only moderately penetrant We have examined this here: nature.com/articles/s4152…
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Vinnie Colaiuta
Vinnie Colaiuta@vinniecolaiuta·
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Jonathan Sebat
Jonathan Sebat@sebatlab·
CNV x BMI x Age interactions on height have potential CLINICAL implications. Many of these CNVs contribute to neurodevelopmental disorders. Our results suggest that genetic effects on development are modifiable through metabolic and hormonal pathways.
Jonathan Sebat@sebatlab

If you thought CNV*age interactions were dramatic, check out the CNV*BMI*age interaction. 16p11.2 DEL has a negative effect on height in newborns and adults and a transient positive effect in early puberty restricted entirely to the subset of kids with childhood obesity 14/N

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