Alternative Search Engine

DNA methylation GrimAge strongly predicts lifespan and healthspan

Source: eurekalert.org   ( Science & Technology )

Feb 12, 2019 12:00 AM 1+ week ago

When it comes to predicting lifespan, GrimAge is 18 percent more accurate than calendar age and 14 percent better than previously described epigenetic biomarkers. With regards to predicting time to coronary heart disease, GrimAge is 61 percent more accurate than chronological age and 46 percent better than previously reported epigenetic biomarkers. In spite of this significant enhancement however, it must be noted that neither age nor DNAmGrimAge is particularly good at predicting time to heart disease....Read more.

Search Builder

(Click to add to search box)
Search Suggestions Level 1
heart disease  DNA methylation GrimAge  California Los Angeles  methyl groups change  DNAmGrimAge biomarker measures  calendar age  Grim Reaper  Los Angeles  Medicine University  Human Genetics  UCLA researchers  Steve Horvath  Ake Lu  methylation positions  blood proteins  age estimate  journal Aging  vegetable consumption  science News  Elaine Schmidt  
Search Suggestions Level 2
DNA methylation GrimAge  life extension  extension DNA  gene regulation  DNA methylation  liver disease  schistosome epigenetics  
Search Suggestions Level 3
DNA methylation  life extension  DNA methylation marks  gene regulation  Chicago epidemiologist S  life expectancy  death rates plateau  American Medical Association  gene regulation mechanism  Hope computer algorithm  journal Clinical Epigenetics  Fibrotic Disease Unit  DNA methylation patterns  Lewis Katz School  schistosome species S  Dr Peter Joshi  drug development efforts  air conditioning machine  AC machine  DNA methylation system  DNA methylation processes  Medical Research  Clinical trials  liver cirrhosis  liver transplants  American Federation  Aging Research  home thermostat  way science  Glenn Award  Lapetus Solutions  Aleksandar Milosavljevic  liver disease  Glenn Foundation  MacArthur Foundation  Research Network  Aging Society  Schistosoma mansoni  mortality rates  future breakthroughs  jay Olshansky  world record  Ronak Y  Karl Hoffmann  SmCBX expression  Piotr Pawliczek  Robert C  schistosome cells  Joel Rozowsky  Timur Galeev  Zhuoyi Huang  Zhizhuo Zhang  Alan Harris  Cristian Coarfa  Lillian Ashmore  Ivenise Carrero  journal Reference  Eugene Lurie  temperature values  Karl F  Dylan W  Helen L  thermostat analogy  Sabrina E  thermostats analogy  Vitor Onuchic  disease transmission  egg production  Jessica W  Weight Management  Johanna DiStefano  TGen Professor  NAFLD patients  future studies  Such findings  Clinical Epigenetics  drug abuse  NAFLD cirrhosis  Johanna K  Christopher D  Anthony T  Lorida Llaci  Ivana Malenica  Glenn S  Aberystwyth University  Manolis Kellis  DNA sequence  Mark Gerstein  genes coding  Temple University  TGen scientists  risk factor  DNA molecules  methyl groups  schistosome biology  heart disease  

**Content contained on this site is provided on an “as is” basis. 4Internet, LLC makes no commitments regarding the content and does not review it, so don't assume that it's been reviewed. What you see here may not be accurate and should not be relied upon. The content does not necessarily represent the views and opinions of 4Internet, LLC. You use this service and everything you see here at your own risk. Content displayed may be subject to copyright. Content is removed on a case by case basis. To request that content be removed, contact us using the following form: Contact Us.