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A phenotype centric benchmark of variant prioritisation tools

We hypothesised that the performance of variant prioriisation tools may vary by disease phenotype.

Promoter-level expression clustering identifies time development of transcriptional regulatory cascades initiated by ERBB receptors in breast cancer cells

The analysis of CAGE (Cap Analysis of Gene Expression) time-courses has been applied to examine the dynamics of enhancer and promoter by sequentially...

Timo Lassmann

Feilman Fellow; Head, Precision Health Research and Head, Translational Intelligence

3D Face Reconstruction with Mobile Phone Cameras for Rare Disease Diagnosis

Computer vision technology is advancing rare disease diagnosis to address unmet needs of the more than 300 million individuals affected globally; one in three rare diseases have a known facial phenotype. 3D face model reconstruction is a key driver of these advances.

Integrative CAGE and DNA Methylation Profiling Identify Epigenetically Regulated Genes in NSCLC

Epigenetically regulated genes have a great theranostic potential, especially in tumors with no apparent driver mutations.

Systematic analysis of transcription start sites in avian development

CAGE in combination with single-molecule sequencing technology allows mapping of TSSs and genome-wide capture of promoter activities state cell populations.

Transcriptional landscape of Mycobacterium tuberculosis infection in macrophages

A comprehensive in depth gene expression/regulation profile in Mycobacterium tuberculosis-infected macrophages

Transcriptome Analysis Uncovers a Growth-Promoting Activity of Orosomucoid-1 on Hepatocytes

Orm1 is induced in response to hepatic injury and executes liver regeneration by activating cell cycle progression in hepatocytes

Single-cell data combined with phenotypes improves variant interpretation

Whole genome sequencing offers significant potential to improve the diagnosis and treatment of rare diseases by enabling the identification of thousands of rare, potentially pathogenic variants. Existing variant prioritisation tools can be complemented by approaches that incorporate phenotype specificity and provide contextual biological information, such as tissue or cell-type specificity. 

Association of maternal prenatal smoking GFI1-locus and cardio-metabolic phenotypes in 18,212 adults

Epigenetic changes at the GFI1 were linked to smoking exposure in-utero/in-adulthood and robustly associated with cardio-metabolic risk factors