🏡🧬 Our new meta-analysis of 140 studies including ~66,000 people finds that lower socioeconomic status and marginalized race/ethnicity is associated with faster epigenetic biological aging. Find out which epigenetic clocks show the strongest effects 👇.

RT @TabeaSchoeler: Happy to share our new study on genetic & environmental contributors to age-related decline in ~100K UK Biobank particip….

6/6 In sum: Low SES & marginalized race/ethnicity are linked to faster biological aging. 3. gen clocks (and GrimAge) show strongest effects. Next step? Move from correlation to causation—intervention studies can help show how inequality gets under the skin ⏰🧬

5/6 ⏰🧬 Similar to SES, racial/ethnic disparities were most pronounced with 3. gen clocks, followed by 2. gen. Once again, DunedinPoAm, DunedinPACE, and GrimAge showed the strongest social gradients in epigenetic aging.

4/6 🧬✅ We found no evidence of publication bias, which builds confidence in the meta-analytic effect-size estimates we report. A reassuring sign for the strength and reliability of this growing field.

3/6 👶🧬 SES associations with 3. gen clocks were just as strong in childhood as in adulthood —highlighting the early sensitivity of “epigenetic speedometers” (pace of aging).

2/6 ⏰🧬 For SES, we found the weakest associations with 1. gen clocks (age predictors), stronger with 2. gen (health risk), and strongest with 3. gen (pace of aging). DunedinPoAm, DunedinPACE, and GrimAge showed the strongest links.

1/6 ⏰🧬We compared 3 generations of clocks and tested whether associations with SES or race/ethnicity varied by sex, age, array type, tissue, cell 👇

w/ AdaRezaki AanyaBahl @AikinsMuna @QiaoWu4 @Danbelsky @laraffington.

RT @EvanGiangrande: 🚨Call for submissions!🚨 . We're organizing a special issue on "Behavioral Genetics as a Public Science"🧬🌍. Relevant top….

RT @dr_appie: I did a series of video interviews with @NaturePortfolio about my work as an academic. Here are the first three parts:. - my….

RT @dr_appie: If you're not following the Behavior Genetics Association account yet (@BehaviorGenetic), please do! 🧬🧠🤸🏽. Me and @margotvdw….

Excited to share our new paper 📄! We discuss the use of polygenic scores in self-control research, hoping to enthuse fellow researchers, with or without a background in genetics, to apply genetically sensitive designs too🧬

RT @mpib_berlin: 🎉 Congratulations🎉.Laurel Raffington @laraffington receives the National Institute of Health @NIH R01 Grant. The funded pr….

RT @laraffington: Our group at @maxplanckpress Harnack Haus for a day of "Science Dreamwork"! What social problem or research theme would y….

RT @laraffington: Excited to be a part of the science museum #MSWissenschaft “Freedom”. Our “Genetic Pinball” gamifies the interplay betwee….

RT @mpib_berlin: Applaus for @YayoukWillems! She has been awarded the Marie Skłodowska-Curie Fellowship @MSCActions. We are really looking….

@NTRscience Overall: The results highlight the importance of both genetics and life stress in understanding self-control, and pointing to the need for further research to unravel their complex relationship 🧬⚡️👯.

@NTRscience Why do we not find G x E? The small effect sizes of the polygenic scores increase the likelihood of the G x E null results🔍. Or, the timing of gene-environment interactions can be developmentally specific, and G x E interactions might be there in children not in adults 👨‍👦.

@NTRscience ⚡️🧬However, we do not find evidence for G x E: The joint effects of genetic and environmental risk factors were not significantly greater than the sum of the separate effects.