Hanne Hoskens

This study identifies 14 genome-wide significant loci for obstructive sleep apnea, including three independent of BMI, and highlights genetic pathways involving obesity, neurological, and craniofacial factors.

This study compares univariate phenotyping strategies for 3D facial shape in GWAS, finding that inter-landmark distances and AE-derived dimensions show higher heritability than facial resemblance to gestalts.

The paper identifies genomic loci associated with achondroplasia-like facial variation in the general population using a syndrome-informed phenotyping approach.

netMUG identifies actionable subgroups using network-guided multi-view clustering, showing improved performance over existing methods in synthetic and real data.

This paper introduces a method to extract genetically relevant facial phenotypes by optimizing trait heritability, showing higher heritability and better GWAS performance compared to principal components.

This study performs a joint multi-ancestry and admixed GWAS on cranial vault shape, identifying 30 genome-wide significant loci and highlighting genetic pathways involved in craniofacial development.

The paper modulates SOX9 levels in human facial progenitors to study dosage sensitivity and identifies regulatory elements and genes that are sensitive to SOX9 changes.

This paper introduces a hybrid autoencoder method for robust population structure inference, improving accuracy in the presence of missing data and relatedness.

This study identifies a new role for Twist1 in neural tube development and epithelial-to-mesenchymal transition in cranial neural crest cells, showing its interaction with Irf6 and impact on cytoskeletal remodeling and facial morphology.

This study identifies 203 genomic regions associated with facial variation using GWAS on multivariate shape phenotypes, revealing novel regions and epistatic interactions.

This study identifies shared genetic loci influencing brain and facial shape, distinct from cognitive traits, suggesting a developmental link between brain and face formation.

This paper introduces SUGIBS, a robust genome-wide ancestry inference method, and applies it to predict ancestry faces using the 1000 Genomes Project and facial imaging data.