ISSN 1662-4009 (online)

ey0019.15-17 | Basic Science and Genetics | ESPEYB19

15.17. Sex-specific genetic regulation of adipose mitochondria and metabolic syndrome by Ndufv2

Krishnan K Chella , L Vergnes , R Acin-Perez , L Stiles , M Shum , L Ma , E Mouisel , C Pan , TM Moore , M Peterfy , CE Romanoski , K Reue , JLM Bjorkegren , M Laakso , M Liesa , AJ Lusis

Nat Metab. 2021;3(11):1552-68. doi: 10.1038/s42255-021-00481-w.PubMed ID: 34697471Brief summary: This study identified a genetic locus on mouse chromosome 17, containing the gene Ndufv2, that controls mitochondrial mass and function in adipose tissue in a sex- and tissue-specific manner. In female mice, Ndufv2 regulated the expression of 89 mitochondrial genes, with invol...

ey0021.15-12 | Artificial Intelligence | ESPEYB21

15.12. Accurate proteome-wide missense variant effect prediction with AlphaMissense

J Cheng , G Novati , J Pan , C Bycroft , A Zemgulyte , T Applebaum , A Pritzel , LH Wong , M Zielinski , T Sargeant , RG Schneider , AW Senior , J Jumper , D Hassabis , P Kohli , Z. Avsec

In Brief: The authors describe AlphaMissense, a machine-learning tool that predicts the pathogenicity of 71 million human coding variants. 22.8 million variants (32%) are classified as likely pathogenic and 40.9 million (57%) as likely benign. They provide these databases freely as resources to the international research community.These authors from Google DeepMind previously developed and released AlphaFold, a revolutionary machine-learning approach to ...

ey0016.12-14 | Lipid Metabolism | ESPEYB16

12.14. An integrative systems genetic analysis of mammalian lipid metabolism

BL Parker , AC Calkin , MM Seldin , MF Keating , EJ Tarling , P Yang , SC Moody , Y Liu , EJ Zerenturk , EJ Needham , ML Miller , BL Clifford , P Morand , MJ Watt , RCR Meex , KY Peng , R Lee , K Jayawardana , C Pan , NA Mellett , JM Weir , R Lazarus , AJ Lusis , PJ Meikle , DE James , TQ de Aguiar Vallim , BG Drew

Nature 2019;567:187–193.URL https://doi.org/10.1038/s41586-019-0984-ySummary: Novel diagnostic and prognostic biomarkers in the blood that can predict early fatty liver disease were identified, using a proteomic and lipidomic-wide systems genetic approach in 107 genetically distinct mouse strains. In addition, the novel lipid-regulatory protein, PSMD9, was identified as...