Manfred Kayser

The paper adapts the Elston-Stewart algorithm to efficiently calculate exact Y-STR match probabilities in pedigrees, outperforming simulation-based methods for most cases.

TRIDENT is a framework for robust multi-trait GWAS that identifies 66 novel osteoarthritis signals by combining earlier and larger GWAS meta-analyses and applying translational annotation.

This study conducts a large-scale GWAS meta-analysis of nevus count, identifying 29 new loci and highlighting immune-related pathways relevant to melanoma risk.

The paper presents a pipeline for analyzing image-based complex traits using AI phenotyping, combined-GWAS, and federated learning, applied to human facial data to identify genetic loci associated with facial shape.

qBiCo is a quality-control method for bisulfite-converted DNA that measures conversion efficiency, fragmentation, and concentration using qPCR, showing reliable performance across platforms and kits.

This paper introduces aps-lm, a linear regression method that predicts outcomes from incomplete datasets without imputation, showing improved accuracy and reduced bias compared to imputation strategies.

The paper introduces Binokulars and JRC_sorter to map epigenetic variation by analyzing pooled sequencing data, identifying joint CpG regulation and epigenetic processes like imprinting and mQTL.

The paper analyzes genome-wide variation in the Massim region of Papua New Guinea, finding genetic patterns linked to the Kula trading tradition and suggesting genetic similarity among Kula-practicing groups.

This study evaluates how compromised DNA affects kinship classification success using SNP microarray data in investigative genetic genealogy.

This paper shows that knocking out TBX15 and PAX1 in mice alters facial and physical morphology, supporting their role in human facial development.

This study identifies DNA methylation sites associated with coffee and tea consumption using EWAS, finding potential links to fatty liver disease through PHGDH expression.

GenNet predicts phenotypes from genetic variants using interpretable deep learning, identifying genes and pathways associated with traits like hair color and schizophrenia.

This study identifies 24 genetic loci associated with facial shape variation in humans through GWAS and confirms 13 of them in a multi-ethnic cohort.

This paper identifies novel pleiotropic risk loci for melanoma and nevus density, implicating multiple biological pathways and gene expression under MITF regulation.