In the last decade, massive omics datasets have been generated for human brain research.
It is evolving so fast that a timely update is urgently needed. In this review, we summarize the …

Advances in high‐throughput omics technologies have enabled system‐wide
characterization of biological samples across multiple molecular levels, such as the …

The integration of genomics and proteomics data (proteogenomics) holds the promise of
furthering the in-depth understanding of human disease. However, sample mix-up is a …

Psychiatric disorders are highly heritable yet polygenic, potentially involving hundreds of risk
genes. Genome-wide association studies have identified hundreds of genomic susceptibility …

Motivation Identifying sample mix-ups in biobanks is essential to allow the repurposing of
genetic data for clinical pharmacogenetics. Pharmacogenetic advice based on the genetic …

Background In large-scale high-throughput sequencing projects and biobank construction,
sample tagging is essential to prevent sample mix-ups. Despite the availability of fingerprint …

Background The impact of genetic variants on gene expression has been intensely studied
at the transcription level, yielding in valuable insights into the association between genes …

Schizophrenia is a complex psychiatric disorder with a poorly understood etiology. This
dissertation addresses three critical questions in schizophrenia research: identifying …

Genome-wide association studies (GWAS) of schizophrenia (SCZ) have revealed over 100
risk loci. We investigated whether these SCZ-associated variants regulate gene expression …