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Posts by Andrea Ganna

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New preprint 👇

Does diagnostic misclassification in EHR-based psychiatry GWAS suppress genetic discovery?

We use simulations and FinnGen data to expand the SuperControl framework and propose a new ML approach (PRISMA) to boost signal discovery.

Led by Lisa Eick & Zhiyu Yang!

3 months ago 22 6 1 0
Promotional graphic for “The Genetics Podcast” featuring a portrait of a man wearing round glasses and a striped sweater against an orange background with faint DNA letters. Large white text reads: “From polygenic scores to AI-driven medicine.” Smaller text below: “With Andrea Ganna of the Institute for Molecular Medicine Finland.” Episode number shown as “Ep 231.”

Promotional graphic for “The Genetics Podcast” featuring a portrait of a man wearing round glasses and a striped sweater against an orange background with faint DNA letters. Large white text reads: “From polygenic scores to AI-driven medicine.” Smaller text below: “With Andrea Ganna of the Institute for Molecular Medicine Finland.” Episode number shown as “Ep 231.”

This week on The Genetics Podcast, @andganna.bsky.social joined host Patrick Short to discuss advances in genetics and data-driven medicine, including the the promise and limits of polygenic risk scores for disease prediction and clinical trials.
🎧 podcasts.apple.com/fi/podcast/e...

1 month ago 5 2 0 1
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Longitudinal patterns and determinants of statin adherence in over one million individuals from Finland and Italy Medication adherence is critical for effective management of chronic diseases and reducing healthcare burdens. Statins, commonly prescribed for cardiovascular disease prevention, require sustained, li...

🚨New preprint out

Mapping real-world statin adherence at population scale (doi.org/10.64898/202...)

We analysed >1 million long-term statin users in Finland and Italy (Lombardy), identified adherence patterns, and examined baseline factors associated with declining adherence.

2 months ago 4 2 1 0
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Reducing misclassification bias in electronic health record-based GWAS of psychiatric traits using the SuperControl framework Electronic health records (EHRs) have enabled large-scale genetic studies of psychiatric disorders, but their diagnostic imprecision introduces substantial misclassification bias. This challenge is pa...

Link to preprint: www.medrxiv.org/content/10.6...

@finngen.bsky.social @fimm-uh.bsky.social @hilife-helsinki.bsky.social

3 months ago 1 0 0 0
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New preprint 👇

Does diagnostic misclassification in EHR-based psychiatry GWAS suppress genetic discovery?

We use simulations and FinnGen data to expand the SuperControl framework and propose a new ML approach (PRISMA) to boost signal discovery.

Led by Lisa Eick & Zhiyu Yang!

3 months ago 22 6 1 0
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🌟 Applications for the 2026 Leena Peltonen School of Human Genetics are open!

Back after a great 2025 edition: ~20 global leaders and ~20 PhD students shaping the future of genomics.

📅 July 26–30, 2026
📍 Wellcome Genome Campus, UK
📝 Apply by March 6 → www.lpshg.com

4 months ago 9 8 0 0
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🌟 Applications for the 2026 Leena Peltonen School of Human Genetics are open!

Back after a great 2025 edition: ~20 global leaders and ~20 PhD students shaping the future of genomics.

📅 July 26–30, 2026
📍 Wellcome Genome Campus, UK
📝 Apply by March 6 → www.lpshg.com

4 months ago 9 8 0 0
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Genetic associations with educational fields - Nature Genetics Genome-wide analyses of 10 educational fields identify 17 associated loci. Analysis of genetic clustering across specializations identifies two key dimensions that show genetic overlap with personalit...

— Genetiikka vaikuttaa persoonallisuuteemme, ja persoonallisuutemme vaikuttaa siihen, mitä opiskelemme. Voimme nyt havaita näitä yhteyksiä selvemmin suoraan DNA:stamme, sanoo @andganna.bsky.social.
Linkki Nature Genetics -lehdessä julkaistuun tutkimukseen:
www.nature.com/articles/s41...

5 months ago 1 1 0 0
Announcement graphic for Jakob German's Doctoral Dissertation titled ‘Genetically-Informed Real-World Evidence and Trial Design.’ The graphic includes event details (12 December 2025 at 13:15, Oral and Dental Centre hall H3.034) and lists the opponent Linda Kachuri from Stanford University. On the right side, there is a portrait of Jakob German in a light-colored shirt.

Announcement graphic for Jakob German's Doctoral Dissertation titled ‘Genetically-Informed Real-World Evidence and Trial Design.’ The graphic includes event details (12 December 2025 at 13:15, Oral and Dental Centre hall H3.034) and lists the opponent Linda Kachuri from Stanford University. On the right side, there is a portrait of Jakob German in a light-colored shirt.

Jakob German from @andganna.bsky.social's group @hilife-helsinki.bsky.social will defend his doctoral dissertation "Genetically-Informed Real-World Evidence and Trial Design on 12 Dec.
Linda Kachuri, Stanford University, will serve as the opponent. Welcome!
🔗 tapahtumat.helsinki.fi/en-FI/page/6...

4 months ago 8 1 0 0
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Genetic associations with educational fields - Nature Genetics Genome-wide analyses of 10 educational fields identify 17 associated loci. Analysis of genetic clustering across specializations identifies two key dimensions that show genetic overlap with personalit...

1/ 🚨New paper in Nature Genetics

Genetic factors are associated with the educational fields people study, from arts to engineering.

Article: www.nature.com/articles/s41...
FAQ: www.thehastingscenter.org/genomic-find...

5 months ago 48 18 1 7
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Happy to have contributed to this study!

Our personality and behaviors, as captured by genetic markers, also influence what we end up studying and, eventually, our professional careers

5 months ago 5 0 0 0
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EU vice-president Virkkunen launches RAISE: resource for AI science in Europe. Not exactly clear what this entails. But i understand: more money, more networking.

5 months ago 2 0 0 0
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Yoshua Bengio and the role of EU in AI development

5 months ago 0 0 0 0

Are you in #Boston for #ASHG25?
Come by and check out my poster (#1023) today from 2:30–4:30 PM.
Would love to connect and discuss about it :)

6 months ago 6 1 0 0

Removing genetic effects from plasma proteins is an effective strategy to increase power for biomarker discovery and clinical trial design, consistent with the largely non-causal role of most plasma proteins in disease risk.

👏 Lead by Daniela Fusco and Zhiyu Yang

6 months ago 2 2 0 0

✅ 88% of 1,300+ protein–disease pairs showed stronger associations after genetic adjustment
✅ Equivalent to needing 30% fewer samples for the same power
✅ Multi-protein scores improved prediction for 7 major diseases
✅ Adjusted proteins aligned more closely with exposome

6 months ago 1 1 1 0

Plasma proteins reflect both genes and environment.

But when genetic variation unrelated to disease drives protein levels, it can dilute biomarker signals.

We genetically-adjust 94 highly heritable proteins in ~40K UK Biobank individuals to see if removing genetic effects helps

6 months ago 0 0 1 0
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🎉 New preprint out!

"Removing genetic effects on plasma proteins enhances their utility as disease biomarkers"

We show that adjusting plasma proteins for genetic effects can make them stronger predictors of disease

👉 doi.org/10.1101/2025...

6 months ago 30 11 1 2
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Very important paper for the geroscience hypothesis. Healthy aging is critical, even in the face of obvious disease states.

6 months ago 4 1 0 0

Link to the pre-print: www.medrxiv.org/content/10.1...

6 months ago 1 0 1 0

A fantastic collaboration with
@finngen.bsky.social &
Finnish Clinical Biobank Tampere, led by Rodos Rodosthenous & Leena Viiri.

I personally learned a lot about running an RCT: we need to make them simpler!

@fimm-uh.bsky.social
@hilife-helsinki.bsky.social

6 months ago 3 0 1 0

Takeaway:

While genetics strongly predict body weight at baseline, they do not determine who benefits from dietary coaching. In other words, behavioral interventions can overcome genetic risk in non-diabetic overweight and mildly obese adults.

6 months ago 1 0 1 0

📊 Results:

✅ Excellent retention: 90% participants returned at 6 months (in both trial arms)
✅ Diet worked: intervention group lost ~5% body weight vs controls
❌ But… the effectiveness of the intervention did not differ between those with high vs. low genetic risk for higher BMI.

6 months ago 2 0 1 0

🧠 What makes GENEROOS unique?

👉 It’s the first prospective RCT to directly test this hypotesis (others did so retrospectively) and the first to recruit participants from the extreme tails (top & bottom 5%) of the BMI polygenic score.

223 non-diabetic adults (BMI 23–36 kg/m²) took part.

6 months ago 0 0 1 0
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💥 New preprint & our first RCT! 💥

Does an extremely high or low BMI polygenic score influence weight loss after a diet intervention?

GENEROOS is a 6-month randomized diet vs. control trial testing if genetic predisposition to higher BMI affects weight loss in overweight adults

6 months ago 27 7 2 1
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Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery - Communications Chemistry Plasma proteome profiling has surged as a promising avenue for biomarker discovery, yet comprehensive platform comparisons remain scarce. Here, the authors evaluate eight proteomics platforms, revealing key differences and complementary strengths, providing crucial insights for researchers into coverage trade-offs and implicating biomarker discovery and clinical applications.

A pretty comprehensive comparison of most actual #proteomics platforms:

Current landscape of plasma proteomics from technical innovations to biological insights and biomarker discovery

www.nature.com/articles/s42...

6 months ago 7 2 0 0

Thanks to the many biobanks involved!
And particularly Zhiyu Yang for leading this!

6 months ago 0 0 0 0
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Limited overlap between genetic effects on disease susceptibility and disease survival - Nature Genetics Systematic comparison of genome-wide association results for disease risk and disease-specific mortality for nine common diseases across seven biobanks finds limited overlap between genetic effects on disease susceptibility and survival.

Why it matters? progression genetics is more relevant drug targets + clinical care.

👉 Solutions:
• Build larger, harmonized cohorts & refined progression phenotypes
• Use proxy phenotypes from general population

Read: www.nature.com/articles/s41...

6 months ago 2 2 1 0
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🧬💥 Do the genetics that make you develop a disease also help you survive it? Not much.

Our new study in Nature Genetics including 9 disease and 7 biobanks shows:

• Susceptibility variants ≠ survival
• PRSs for onset weak at predicting progression
• Lifespan PRS predicts survival better

6 months ago 45 17 1 2
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Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model Health registers provide valuable insights into individuals’ health trajectories. This study explores the use of deep learning to model and analyze th…

“Towards modeling evolving longitudinal health trajectories with a transformer-based deep learning model”

in collaboration with Pekka Marttinen at @AaltoUniversity

www.sciencedirect.com/science/arti...

6 months ago 6 0 0 0