Thomas Folkmann Hansen

This study analyzes ancient DNA from three European sites to assess the genomic impact of the second plague pandemic, finding no strong positive selection but evidence of reduced long-range immigration post-pandemic.

This study shows that menstrual phase length variation is linked to daily symptom intensity, highlighting the need for individualized baseline assessments rather than fixed phase assumptions.

This study identifies 26 risk loci for fibromyalgia through a genome-wide association analysis of 2.5 million individuals, revealing genetic links to neural functions and chronic pain disorders.

This study evaluates polygenic risk scores (PRS) for colorectal cancer (CRC) screening, showing they stratify risk independently of ancestry and sex but offer limited additional predictive value when combined with FIT.

This paper uses a polygenic risk score to show that genetic liability for endometriosis is linked to pain, inflammatory, and metabolic traits in both sexes.

This study identifies PTPRD as a shared risk gene for MDD, BPD, and ADHD through multivariate GWAS and proposes a mechanistic role in dopaminergic neuroplasticity.

The paper uses genetic data from Denmark and Britain to infer historical North Sea migrations from the Middle Ages to the Industrial Revolution, identifying distinct population patterns and migration trends.

This study identifies 51 genome-wide significant loci associated with dosage changes in 42 drug pair phenotypes, revealing distinct genetic patterns in polypharmacy.

The paper identifies genetically distinct patient subgroups across diseases by analyzing polygenic risk and pathway convergence.

The paper identifies five genetic loci associated with postpartum hemorrhage through a meta-analysis and links them to progesterone receptor binding sites and related traits.

The paper introduces a deep learning framework for polygenic risk score prediction, showing improved performance over traditional methods for various diseases.

This study uses Danish registries to estimate heritability and genetic correlations of disease phenotypes and trajectories, identifying novel genetic associations and sex-specific contributions.

The paper analyzes whole genome sequences of 150,119 UK Biobank individuals, identifying variants and associations with traits, and provides a haplotype reference panel for imputation.

This GWAS identifies 123 migraine risk loci, including subtype-specific variants and novel targets, supporting neurovascular mechanisms in migraine.

This study identifies 12,111 SNPs associated with height from 5.4 million individuals, explaining most common SNP-based heritability and showing ancestry-specific prediction accuracy.

This study identifies sex-dependent genetic risk loci shared and specific to mood and psychotic disorders using genome-wide interaction analysis.

The paper identifies rare variants in the ASTN2 locus associated with migraine, independent of GWAS findings, and proposes a role for Polycomb Response Elements in migraine etiology.

This study identifies seven new genetic loci associated with febrile seizures, linking them to fever response and neuronal excitability genes, and suggests potential clinical applications of polygenic risk scores.

This study examines the genetic structure of the Norwegian population, identifying two distinct genetic regions and highlighting the impact of geography on migration patterns and ancestry.

The paper compares ten polygenic score methods for psychiatric disorders across multiple cohorts, finding that some methods significantly improve prediction statistics over the baseline PC+T method.

The paper investigates gene expression changes during spontaneous migraine attacks and identifies differentially expressed genes and pathways associated with migraine pathophysiology.

This study identifies 48 genetic variants associated with handedness using a large GWAS, highlighting polygenic nature and genetic links to neuropsychiatric traits.

This study identifies traits associated with polygenic risk for depression using UK Biobank data and finds causal links between depression risk and brain structure, as well as environmental interactions.

This study identifies cell types associated with brain complex traits using GWAS and single-cell transcriptomics, revealing novel roles for oligodendrocytes in Parkinson's disease.

This study investigates whether genetic variation in the Major Histocompatibility Complex (MHC) is associated with depression risk, finding no significant associations at a conservative threshold.

The paper examines how genetic and environmental factors influence DNA methylation at variably methylated regions in neonatal blood, finding that combined effects best explain methylation variability.

The paper applies polygenic risk scoring to a large family with bipolar and depressive disorders to study genetic risk patterns and anticipation.

The paper finds a genetic association between schizophrenia risk and age at first birth in women, with different genetic correlations in younger and older age groups.

This study compares LDSC and GREML methods for estimating genetic correlation, showing GREML provides higher accuracy, especially in the presence of genetic heterogeneity.

This study shows common genetic variants significantly contribute to migraine family clustering, with higher burden in familial cases compared to population-based cases.