henrike heyne (@HHeyne) header
henrike heyne (@HHeyne) profile picture

lecturer at HPI, adjunct faculty HPI MS NY. previously @FIMM_UH @broadinstitute @MGH_RI. clinical genomics, precision medicine, epilepsy. @hheyne.bsky.social

Potsdam, Germany
Joined April 2014
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Replying to @HHeyne
We found that a high genetic generalized epilepsy PRS (PRS-GGE) increased risk for genetic generalized epilepsy (GGE) (hazard ratio [HR] 1.73 per PRS-GGE standard deviation) across lifetime and within 10 years after an unspecified seizure event. 3/6
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Great to see @FrancescaRissom present on her work on ion channel variant prediction @gmdsEV, only one year into her PhD #proudPI
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Great talk by @SusanneIbing on using automated phenotype classification comparing low effort GPT-4 vs rule based approach in Crohns @gmdsEV #gmds2024 >> good to safe work? check out her preprint medrxiv.org/content/10.1101/…
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Great opening talks by @MI_Sedlmayr and Andreas Seidler of the common conference of 5 German scientific societies incl. #gmds #TMF2024 "Gesundheit gemeinsam"/"health together".
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I very much enjoyed writing this @NatureNV piece on the RNU4-2 story. Please read on if you want to learn more about how a non-coding variant was discovered to be one of the most frequent causes for developmental diseases. (thx M. Rissom for sketch) nature.com/articles/d41586-0…
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Hi all, very glad to announce our paper on “Polygenic risk scores as a marker for epilepsy risk across lifetime and after unspecified seizure events” is now out nature.com/articles/s41467-0… in @NatureComms. summary in German here: teapaw.org/HPI_DE/status/18182263… twitter summary below. 1/6
Polygene Risikoscores können helfen, die Veranlagung für eine Erkrankung besser einzuschätzen. Dr. @HHeyne vom HPI untersuchte die Gendaten von 5.000 Individuen, um mehr Erkenntnisse über epilepsie-spezifische Polygene Risikoscores zu erlangen. 👉Mehr: hpi.de/news/jahrgaenge/2024/…
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Epilepsy diagnosis is often challenging. The most widely-used diagnostic tool -EEG- performs quite variably. Here, we investigated how common genetic factors (polygenic risk scores, [PRSs]) influence epilepsy risk in electronic health records of > 700k Finns and Estonians. 2/6
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Amelie Fritz on sex differences in many human diseases -> disentangling phenotypic and environmental components -> compare phenotypic and genetic correlations, —> mostly shared genetic architecture betw. sexes but more differences in environmental effc. #eshg2924
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interesting talk by Sara Ometto -> extracting latent phenotypes from cardiac MRIs incl. time component. integrating with GWAS overlaps with loci affecting also atrial fibrillation, T2D etc #eshg2024
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Come to A8 -> Large Scale Genetic Association Studies - very nice session chaired by @KristinTsuo and Carlo Maj
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#eshg2924 great work right now in room A8 by @flassen_, PhD student with @ceclindgren @astheeggeggs on compound heterozygous effects in the UK Biobank
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replicate known findings e.g. MUTH and colon cancer. new association like ATP2C2 -> high risk for compound het COPD
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#eshg2024 cool talk by Analabha Basu on WGS of 5750 Indians >genome india project. populations genetically cluster according to languages, ethnic identities. fragmented population, some endogamy >> rare disease variants enriched to higher frequencies
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#eshg2924 Katherine Kentistou on genetic (rare+cmn) effects on puberty timing -> new findings >> GPR83 interacts with MCR3 experimentally/genetically >> new rare variant genes (independent of BMI) >> some related effects of puberty timing and BMI
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#eshg2924 great talk by first year PhD student Kilian Salomon on in-silico prioritisation of open chromatin to detect activating variants goal: prioritise variants for experim. testing. how: use Enformer model trained on ENCODE data. results: can enrich significant effects 2-3x
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#eshg2924 now talk by andrew sharp from @MountSinaiNYC about methylated repeat expansions (such as FrX) -> difficult to detect with sequencing -> 28 GC-rich repeat expansions -> PheWAS in @uk_biobank -> recapitulate known assoc. of C9orf72 with ALS traits
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v. cool new finding >> common (1 in 860) GCC expansion in AFF3 promotor -> educational attainment effect as large as known CNVs like 22q. validated in @GenomicsEngland. but incomplete penetrance
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#eshg2924 now talk by @konradk about how we can use rare variants to learn about common diseases. some takeaways from large biobank studies @uk_biobank (-> genebass.org) now @AllofUsResearch -> more diversity!
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important to control for population stratification. associations tests not so well calibrated for rarer phenotypes in smaller populations.
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#eshg2024 - very excited to support the great work of my team members. Check out posters by @andrea_eoli at 13:00 (P11.090.A) and @JulianWanner (P07.002.B) and Nicolas Walk (P23.032.B) at 15:45 on Sunday - we’re looking forward to your feedback.
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#eshg2024 very exciting to be back and catch up with great science! Now #gnomAD is already at 800k individuals, great talk by @ksamocha, one SNV every 3bp... Still some populations not represented. But data in Europeans is reaching saturation.
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How did I forget @Sumaiyalqbal and so many more! Too many great women in STEM… 😊
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highly recommended Postdoc opportunity for statistical genetics if you want to work with a very smart and kind mentor in the Boston area.
🌟 **Join Our Lab wzhoulab.com/ as a Postdoc!🌟 Passionate about developing and applying novel statistical methods to study genetics of disease progression and integrating omics data? Explore exciting opportunities and apply now: shorturl.at/ahIY3 or email me🧬
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Very interesting question studied by @EmilieWigdor: Why do some rare variant carriers develop disease and some don't? Do common variants influencing gene expression (cis-eQTLs) modify that? Answer: they found little evidence for that, but it's also difficult (see limit.)...
Our new pre-print “Investigating the role of cis-eQTLs in modifying the penetrance of putatively damaging, inherited variants in severe neurodevelopmental disorders” (NDDs) is up on medRxiv! Three interesting findings led to this study: (1/12) medrxiv.org/content/10.1101/…
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