Eric K. Moses

TL;DR: The ENIGMA Consortium has detected factors that affect the brain that no individual site could detect on its own, and that require larger numbers of subjects than any individual neuroimaging study has currently collected.

TL;DR: In this article, the authors report genome-wide association meta-analyses and replication for mean bilateral hippocampal, total brain and intracranial volumes from a large multinational consortium.

TL;DR: To highlight the usefulness of this much-enlarged map of cis-regulated transcripts for the discovery of genes that influence complex traits in humans, as an example, high-density lipoprotein cholesterol concentration is selected as a phenotype of clinical importance and the cis- regulated vanin 1 (VNN1) gene is identified as harboring sequence variants that influence high- density lipop protein cholesterol concentrations.

TL;DR: Differences between transcriptomic age and chronological age are associated with biological features linked to ageing, such as blood pressure, cholesterol levels, fasting glucose, and body mass index and the transcriptomic prediction model adds biological relevance and complements existing epigenetic prediction models.

TL;DR: An international 2-stage meta-analysis of CMM genome-wide association studies (GWAS) combines 11 GWAS (5 previously unpublished) and a further three stage 2 data sets, totaling 15,990 CMM cases and 26,409 controls, finding five loci not previously associated with CMM risk reached genome- wide significance.