Reedik Mägi

This study identifies genetic loci associated with antihypertensive medication switching, implicating neurotensin-NTSR1 signaling in ACE inhibitor-induced cough and CYP3A4*22 in dCCB intolerance.

This paper identifies novel genetic loci and polygenic risk scores for rheumatoid arthritis using a million-participant meta-analysis and shows improved risk prediction with metabolomic integration.

The paper links polygenic risk scores to gut microbiome traits using the Estonian Microbiome Cohort, identifying 282 species-level associations and suggesting microbiome mediation of genetic risk.

The paper conducts a multi-ancestry, trans-generational GWAS meta-analysis of gestational diabetes and glycemic traits, identifying novel loci and highlighting limited pregnancy-specific genetic effects.

This study performs a large-scale GWAS on 249 metabolic traits in 619,372 individuals, identifying 88,604 associations and using MR to explore causal links between metabolites and diseases.

The paper maps cis- and trans-eQTLs in blood samples to infer gene regulatory networks and prioritize trait-relevant pathways.

This study uses genomic structural equation modeling to identify latent genetic factors underlying T2D and its comorbidities, showing distinct risk profiles and broader associations with complications.

The paper shows that migration behavior in Estonia increases spatial genetic differentiation at trait-associated loci, with educational attainment PGS driving inter-regional differences.

The paper identifies USP18 as a negative regulator of interferon response at a lupus risk locus through trans-eQTL analysis in lymphoblastoid cell lines.

The paper compares genetic effects on disease susceptibility and progression, finding limited overlap and suggesting larger samples or different progression measures are needed.

The paper estimates genetic assortative mating using haplotype reconstruction in large biobank cohorts, revealing recent trends in mate choice and its genetic impact.

The paper infers parent-of-origin effects in ~265,000 individuals using a novel method, identifying over 30 novel POEs and confirming known associations, supporting the parental conflict hypothesis.

This study identifies 21 infertility loci and over 400 reproductive hormone loci through GWAS across multiple cohorts, finding limited genetic correlation between reproductive hormones and infertility.

This study performs a GWAS meta-analysis of psoriasis, identifying 109 susceptibility loci, including 45 new ones, and highlights potential therapeutic targets and disease mechanisms.

The paper identifies 38 high-confidence effector genes in osteoarthritis using molecular and functional genomics evidence from transcriptome analysis of primary tissues.

This study compares EHR-based phenotype risk scores (PheRS) and polygenic scores (PGS) for predicting 13 diseases, finding they capture independent information and improve prediction when combined.

This paper identifies age-specific genetic risk factors for cardiometabolic traits using genome-wide interaction analyses across multiple cohorts.

The paper reviews the Estonian Biobank's role in advancing genomics research and personalized medicine through its comprehensive data and translational focus.

This study identifies shared genetic components between thyroid disorders and reproductive health using GWAS and genetic correlation analysis in 743,088 individuals.

This study shows that epilepsy polygenic risk scores (PRSs) can predict epilepsy risk across lifetimes and after seizure events in a large Finnish cohort.

This study identifies six novel genetic loci associated with BMI change over adulthood using UK Biobank health records, finding lower heritability for BMI change compared to baseline BMI.

This study identifies genetic signals associated with age at menarche, highlights genes involved in pubertal development, and links reproductive timing to later life disease risk.

This study identifies metabolites causally linked to type 2 diabetes and its complications, revealing genetic regulation effects and metabolic pathways involved.

This study identifies 31 plasma proteins and expands genetic loci associated with PCOS, highlighting metabolic and hormonal influences and polygenic risk effects on cardio-metabolic outcomes.

This study identifies genetic determinants of plasma protein levels in the Estonian population, including common, rare, and copy number variants, and provides fine-mapped credible sets for 151 proteins.

This study evaluates polygenic scoring methods across five biobanks and finds that biobank differences outweigh method differences, with ensemble learning improving performance.

This paper identifies six genetic loci associated with circulating anti-Müllerian hormone levels in pre-menopausal women through a GWAS meta-analysis, including novel signals and biological pathway insights.

The paper identifies pQTLs for 91 plasma proteins, finds novel associations, and uses MR to uncover causal roles in immune-mediated diseases, suggesting new therapeutic targets.

This study identifies 73 CNV-related disease signals in 331,522 UK Biobank participants, showing CNVs increase disease risk and earlier onset, with polygenic effects and gene dosage impacts.

This study identifies genetic loci associated with gestational duration and preterm delivery, showing maternal and fetal genetic effects and antagonistic pleiotropy with birth weight.