Warren W. Kretzschmar

Genotyping and population structure of the China Kadoorie Biobank

The paper reports genotyping and population structure findings from the China Kadoorie Biobank, revealing relatedness, consanguinity, and population movement patterns.

ClusTrast: a short read de novo transcript isoform assembler guided by clustered contigs

ClusTrast improves de novo transcript isoform reconstruction by clustering contigs and merging assemblies, outperforming existing tools in recall and polymorphism detection.

A phenome-wide association and Mendelian Randomisation study of polygenic risk for depression in UK Biobank

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.

Variably methylated regions in the newborn epigenome: environmental, genetic and combined influences

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.

Applying polygenic risk scoring for psychiatric disorders to a large family with Bipolar Disorder and Major Depressive Disorder

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

A comprehensive map of genetic variation in the world’s largest ethnic group - Han Chinese

This study presents a comprehensive catalog of genetic variation in Han Chinese using whole-genome sequencing, revealing population structure, admixture, and loci under local adaptation.

Genome-wide association analyses identify 44 risk variants and refine the genetic architecture of major depression

Genome-wide association meta-analysis of 130,664 major depression cases and 330,470 controls identifies 44 independent risk loci enriched in cortical neurons, conserved mammalian regions, splicing networks, and antidepressant targets.

Narrow-sense heritability estimation of complex traits using identity-by-descent information.

This paper estimates narrow-sense heritability using identity-by-descent information in unrelated individuals and finds that IBD-based methods can capture rare variant contributions but are affected by stratification.