Lifang Hou
Northwestern University
405 Papers
726 Citations
Lifang Hou is an academic researcher from Northwestern University. The author has contributed to research in topics: Medicine & DNA methylation. The author has an hindex of 58, co-authored 325 publications. Previous affiliations of Lifang Hou include University of North Carolina at Chapel Hill & Northwest University (China).
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Papers
An epigenetic biomarker of aging for lifespan and healthspan
Morgan E. Levine,Ake T. Lu,Austin Quach,Brian H. Chen,Themistocles L. Assimes,Stefania Bandinelli,Lifang Hou,Andrea A. Baccarelli,James D. Stewart,Yun Li,Eric A. Whitsel,James G. Wilson,Alex P. Reiner,Abraham Aviv,Kurt Lohman,Yongmei Liu,Luigi Ferrucci,Steve Horvath +17 more
- 01 Apr 2018
TL;DR: A new epigenetic biomarker of aging, DNAm PhenoAge, is developed that strongly outperforms previous measures in regards to predictions for a variety of aging outcomes, including all-cause mortality, cancers, healthspan, physical functioning, and Alzheimer's disease.
Comparison of Beta-value and M-value methods for quantifying methylation levels by microarray analysis
TL;DR: The Beta-value has a more intuitive biological interpretation, but the M-value is more statistically valid for the differential analysis of methylation levels, and is recommended for conducting differential methylation analysis and including the beta-value statistics when reporting the results to investigators.
DNA methylation GrimAge strongly predicts lifespan and healthspan.
Ake T. Lu,Austin Quach,James G. Wilson,Alexander P. Reiner,Abraham Aviv,Ken Raj,Lifang Hou,Andrea A. Baccarelli,Yun Li,James D. Stewart,Eric A. Whitsel,Themistocles L. Assimes,Luigi Ferrucci,Steve Horvath +13 more
- 21 Jan 2019
TL;DR: Using large scale validation data from thousands of individuals, it is demonstrated that DNAm GrimAge stands out among existing epigenetic clocks in terms of its predictive ability for time-to-death, and a novel measure of epigenetic age acceleration, AgeAccelGrim.
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DNA methylation-based measures of biological age: meta-analysis predicting time to death
Brian H. Chen,Riccardo E. Marioni,Riccardo E. Marioni,Elena Colicino,Marjolein J. Peters,Cavin K. Ward-Caviness,Pei-Chien Tsai,Nicholas S. Roetker,Allan C. Just,Ellen W. Demerath,Weihua Guan,Jan Bressler,Myriam Fornage,Myriam Fornage,Stephanie A. Studenski,Amy R. Vandiver,Ann Zenobia Moore,Toshiko Tanaka,Douglas P. Kiel,Liming Liang,Pantel S. Vokonas,Joel Schwartz,Kathryn L. Lunetta,Kathryn L. Lunetta,Joanne M. Murabito,Joanne M. Murabito,Stefania Bandinelli,Dena G. Hernandez,David Melzer,Mike A. Nalls,Luke C. Pilling,Timothy Ryan Price,Andrew B. Singleton,Christian Gieger,Rolf Holle,Anja Kretschmer,Florian Kronenberg,Sonja Kunze,Jakob Linseisen,Christine Meisinger,Wolfgang Rathmann,Melanie Waldenberger,Peter M. Visscher,Peter M. Visscher,Sonia Shah,Naomi R. Wray,Allan F. McRae,Oscar H. Franco,Albert Hofman,Albert Hofman,André G. Uitterlinden,Devin Absher,Themistocles L. Assimes,Morgan E. Levine,Ake T. Lu,Philip S. Tsao,Philip S. Tsao,Lifang Hou,JoAnn E. Manson,Cara L. Carty,Andrea Z. LaCroix,Alexander P. Reiner,Alexander P. Reiner,Tim D. Spector,Andrew P. Feinberg,Daniel Levy,Andrea A. Baccarelli,Andrea A. Baccarelli,Joyce B. J. van Meurs,Jordana T. Bell,Annette Peters,Ian J. Deary,James S. Pankow,Luigi Ferrucci,Steve Horvath +74 more
- 28 Sep 2016
TL;DR: Evidence that epigenetic age predicts all-cause mortality above and beyond chronological age and traditional risk factors is strengthened and estimates that incorporate information on blood cell counts lead to highly significant associations with all- Cause mortality are demonstrated.
Epigenetic clock analysis of diet, exercise, education, and lifestyle factors
Austin Quach,Morgan E. Levine,Toshiko Tanaka,Ake T. Lu,Brian H. Chen,Luigi Ferrucci,Beate Ritz,Stefania Bandinelli,Marian L. Neuhouser,Jeannette M. Beasley,Linda Snetselaar,Robert B. Wallace,Philip S. Tsao,Devin Absher,Themistocles L. Assimes,James D. Stewart,Yun Li,Lifang Hou,Andrea A. Baccarelli,Eric A. Whitsel,Steve Horvath +20 more
- 14 Feb 2017
TL;DR: Overall, the epigenetic age analysis of blood confirms the conventional wisdom regarding the benefits of eating a high plant diet with lean meats, moderate alcohol consumption, physical activity, and education, as well as the health risks of obesity and metabolic syndrome.