Yanxun Xu

TL;DR: The flagship paper of the ICGC/TCGA Pan-Cancer Analysis of Whole Genomes Consortium describes the generation of the integrative analyses of 2,658 whole-cancer genomes and their matching normal tissues across 38 tumour types, the structures for international data sharing and standardized analyses, and the main scientific findings from across the consortium studies.

TL;DR: The results show that the neuronal and behavioral effects of mutant hDISC1 are consistent with a dominant-negative mechanism, and are similar to some features of schizophrenia, and the present mouse model may facilitate the study of aspects of the pathogenesis of schizophrenia.

TL;DR: It is found that incorporating molecular data with clinical variables yields statistically significantly improved predictions for three cancers but those quantitative gains were limited, and a starting point and resources are provided for building reliable prognostic and therapeutic strategies that incorporate molecular data.

TL;DR: This study performed a comprehensive analysis of molecular differences between male and female patients in 13 cancer types of The Cancer Genome Atlas and revealed two sex-effect groups associated with distinct incidence and mortality profiles.

TL;DR: This analysis presents the most definitive mutational landscape of mitochondrial genomes and identifies several hypermutated cases, frequent somatic nuclear transfer of mt DNA and high variability of mtDNA copy number in many cancers.