Noah Herrick

The paper performs trio-based GWAS on cleft lip subtypes to identify novel genetic loci associated with specific phenotypes.

This study uses a pleiotropy-informed GWAS method to identify new orofacial cleft risk loci by leveraging genetic associations with facial shape.

The paper uses 3D craniofacial data and genome-wide association analysis to link craniofacial variation to genetic diversity, evolutionary processes, and clinical conditions in modern humans.

The paper identifies and evaluates ancestry informative markers (AIMs) for the Middle East using whole-genome sequencing data and a deep learning tool for ancestry visualization.

This paper introduces a single-surface craniofacial bone mask and MeshMonk framework for automated 3D landmarking of human skulls, achieving high accuracy and reliability in phenotyping.

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.

ILIAD automates genomic data processing into VCF files for downstream applications using Snakemake, Singularity, and Docker, improving efficiency and reproducibility.

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