A toolkit for quantification of biological age from blood chemistry and organ function test data: BioAge

By D. Kwon, Daniel W Belsky. GeroScience, 2021

322 citations recorded by the source corpus.

Subfields: Aging, Molecular Biology, Physiology

View Paper: https://www.semanticscholar.org/paper/44105f6f9dcd23fb4356eb2dbdcebac7a0f88bdc

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aging

1. H. Harrington
2. D. Kwon
3. David L. Corcoran
4. Benjamin S. Williams
5. Renate M. Houts
6. Richie Poulton
7. Karen Sugden
8. Terrie E. Moffitt

In Molecular Biology

1. D. Kwon
2. Jonathan Mill
3. David L. Corcoran
4. Andrea A. Baccarelli
5. Terrie E. Moffitt
6. Daniel W Belsky
7. Avshalom Caspi

In Physiology

1. D. Kwon
2. Andrea A. Baccarelli
3. Daniel W Belsky

Citations in the corpus

• DunedinPACE, a DNA methylation biomarker of the pace of aging (2021, background): “Physiology-based measures of biological age were computed from Understanding Society biomarker data (albumin, alkaline phosphatase, creatinine, C-reactive protein, blood urea nitrogen, glycated hemoglobin, systolic blood pressure, and forced expiratory volume in 1 second) based on algorithms derived”