Inken Wohlers

The paper identifies uridine modifications in VSMCs linked to post-transcriptional regulation during atherogenic transitions using epitranscriptomic profiling.

This study uses UK Biobank data to analyze genetic overlap and comorbidity in autoimmune diseases through polygenic risk scores and pathway analysis.

The paper identifies differential TLR8-dependent immune responses induced by two methanogenic archaea, showing distinct gene-class activation patterns controlled by NF-κB p65 and STAT1/2.

The paper traces the origin and spread of the IL23R variant rs11209026-A in Europe, linking its frequency changes to Neolithic agricultural practices and its protective role against inflammatory bowel diseases.

The paper presents a T2T-level pangenome of 58 Emirati genomes, revealing genomic diversity comparable to the Human Pangenome Reference Consortium.

The paper characterizes mitochondrial genetic variation in North and East Africa, identifying novel haplogroups and phylogenetic deviations.

The paper introduces MouseFM, a tool for in silico fine-mapping of genetic variants and genes using inbred mouse strain data, and demonstrates its application to identify candidate variants for specific phenotypes.

Qtlizer annotates GWAS variants with gene expression and protein abundance QTLs, revealing limitations of current cis-distance thresholds and enriching for housekeeping genes.

The paper evaluates Neanderthal genetic contributions to COVID-19 risk factors, showing deviations in Neanderthal sequences and population-specific differences affecting risk prediction in non-Europeans.

The paper presents the first de novo assembled Egyptian genome and population-based genetic variation data, highlighting differences in allele frequencies and linkage disequilibrium between Egyptians and Europeans.

This study investigates the effect of Alzheimer's disease risk SNPs on miRNA expression in human lymphoblastoid cell lines and finds limited evidence of miRNA eQTL effects, with two notable exceptions.

This paper identifies differentially expressed microRNAs in Parkinson’s disease through meta-analyses of multiple datasets, finding significant associations in brain and blood samples.

This study identifies differentially expressed microRNAs in Alzheimer’s disease across brain, blood, and cerebrospinal fluid through a systematic review and meta-analysis of 147 datasets.

This study identifies miR-1908-5p and miR-3614-5p as potential regulators of autoimmune disease risk through GWAS and eQTL analyses of immune cell data.

Bioconda provides a sustainable, comprehensive distribution of bioinformatics software using Conda for reproducible analysis across platforms.