Selected and latest publications.
Selected publications
- Refining fine-mapping: Effect sizes and regional heritability. Benner C, Anubha M. Pirinen M. (2025), PLoS Genetics.
- linemodels: clustering effects based on linear relationships. Pirinen M (2023), Bioinformatics. 39: btad115.
- Genome-wide association analysis of plasma lipidome identifies 495 genetic associations. Ottensmann L, Tabassum R, Ruotsalainen SE, Gerl MJ, Klose C, Widén E; FinnGen; Simons K, Ripatti S, Pirinen M. (2023), Nature Communications 14:6934.
- Genome-wide analysis of 102,084 migraine cases identifies 123 risk loci and subtype-specific risk alleles. Hautakangas H, Winsvold BS, Ruotsalainen SE, Bjornsdottir G, Harder AVE, …, Ripatti S, Zwart JA, Palotie A, Pirinen M (2022), Nature Genetics 54: 152-160.
- Bayesian mixture model for clustering rare-variant effects in human genetic studies. Venkataraman GR, DeBoever C, Tanigawa Y, Aguirre M, Ioannidis AG, Mostafavi H, Spencer CCA, Poterba T, Bustamante CD, Daly MJ, Pirinen M, Rivas MA (2021), The American Journal of Human Genetics 108: 2354-2367.
- Changes in the fine-scale genetic structure of Finland through the 20th century. Kerminen S, Cerioli N, Pacauskas D, Havulinna AS, Perola M, Jousilahti P, Salomaa V, Daly MJ, Vyas R, Ripatti S, Pirinen M (2021), PLoS Genetics.
- Fine-scale genetic structure in Finland. Kerminen S, Havulinna AS, Hellenthal G, Martin AR, Sarin AP, Perola M, Palotie A, Salomaa V, Daly MJ, Ripatti S, Pirinen M (2017), G3: Genes, Genomes, Genetics. 7: 3459-3468.
- FINEMAP: Efficient variable selection using summary data from genome-wide association studies. Benner C, Spencer CCA, Havulinna AS, Salomaa V, Ripatti S, Pirinen M (2016), Bioinformatics btw018.
- metaCCA: Summary statistics-based multivariate meta-analysis of genome-wide association studies using canonical correlation analysis. Cichonska A, Rousu J, Marttinen P, Kangas AJ, Soininen P, Lehtimäki T, Raitakari OT, Järvelin MR, Salomaa V, Ala-Korpela M, Ripatti S, Pirinen M (2016), Bioinformatics btw052.
- Effect of predicted protein-truncating genetic variants on the human transcriptome. Rivas MA, Pirinen M*, Conrad DF*, Lek M*, et al. (2015), Science 348: 666-669.
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Latest Publications