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Steve Horvath

Steve Horvath is a German–American aging researcher, geneticist, and biostatistician. He is a professor at the University of California, Los Angeles known for developing the Horvath aging clock, which is a highly accurate molecular biomarker of aging, and for developing weighted correlation network analysis. His work on the genomic biomarkers of aging, the aging process, and many age related diseases/conditions has earned him several research awards. Horvath is a principal investigator at the anti-aging startup Altos Labs[1] and co-founder of nonprofit Clock Foundation.[2]

Steve Horvath
Horvath presenting a talk in 2015
Born
OccupationProfessor of Human Genetics & Biostatistics
Known forDeveloping the epigenetic clock (Horvath clock) and weighted correlation network analysis
Academic background
Alma materTechnical University of Berlin
(BS)
University of North Carolina, Chapel Hill
(PhD)
Harvard School of Public Health
(Sc.D)
Doctoral advisorRobert Brown Gardner
Nan Laird
Academic work
InstitutionsUCLA
Altos Labs

Background edit

Horvath was born in Frankfurt, Germany; as the family name Horvath indicates, he is of Hungarian ancestry. He received his Bachelor of Science in Mathematics and Physics at the Technical University of Berlin, graduating in 1989.[3][4] He received his Ph.D. in mathematics at the UNC Chapel Hill in 1995 and his Sc.D. in biostatistics at Harvard in 2000.[4] In 2000, Horvath joined the faculty of the University of California, Los Angeles, where he is a professor of human genetics at the David Geffen School of Medicine at UCLA and of biostatistics at the UCLA Fielding School of Public Health.[3]

Work on the epigenetic clock edit

Horvath's development of the DNA methylation based age estimation method known as epigenetic clock was featured in Nature magazine.[3] In 2011, Horvath co-authored the first article that described an age estimation method based on DNA methylation levels from saliva.[5] In 2013 Horvath published a single author article on a multi-tissue age estimation method that applies to all nucleated cells, tissues, and organs.[6][3] This discovery, known as the Horvath clock, was unexpected because cell types differ in terms of their DNA methylation patterns and age related DNA methylation changes tend to be tissue specific.[3] In his article, he demonstrated that estimated age, also referred to as DNA methylation age, has the following properties: it is close to zero for embryonic and induced pluripotent stem cells, it correlates with cell passage number; it gives rise to a highly heritable measure of age acceleration; and it is applicable to chimpanzees.[6] Since the Horvath clock allows one to contrast the ages of different tissues from the same individuals, it can be used to identify tissues that show evidence of increased or decreased age.[7]

Age related conditions and phenotypes edit

Horvath co-authored the first articles demonstrating that DNA methylation age predicts life-expectancy [8][9][10] and is positively associated with obesity,[11] HIV infection,[12] Alzheimer's disease,[13] cognitive decline,[14] Parkinson's disease,[15] Huntington's disease,[16] early menopause,[17] and Werner syndrome.[18]

Genetics of aging edit

Horvath published the first article demonstrating that trisomy 21 (Down syndrome) is associated with strong epigenetic age acceleration effects in both blood and brain tissue.[19] Using genome-wide association studies, Horvath's team identified the first genetic markers (SNPs) that exhibit genome-wide significant associations with epigenetic aging rates[20][21] – in particular, the first genome-wide significant genetic loci associated with epigenetic aging rates in blood notably the telomerase reverse transcriptase gene (TERT) locus.[22]

As part of this work, his team uncovered a paradoxical relationship: genetic variants associated with longer leukocyte telomere length in the TERT gene paradoxically confer higher epigenetic age acceleration in blood.[22]

Work in biodemography edit

Horvath proposed that slower epigenetic aging rates could explain the mortality advantage of women and the Hispanic mortality paradox.[23]

Lifestyle factors and nutrition edit

Horvath published the first large scale study of the effect of lifestyle factors on epigenetic aging rates.[24]

These cross sectional of epigenetic aging rates in blood confirm the conventional wisdom regarding the benefits of education, eating a high plant diet with lean meats, moderate alcohol consumption, physical activity and the risks associated with metabolic syndrome.

Epigenetic clock theory of aging edit

Horvath and Raj proposed an epigenetic clock theory of aging[25] which views biological aging as an unintended consequence of both developmental programs and maintenance program, the molecular footprints of which give rise to DNA methylation age estimators. DNAm age is viewed as a proximal readout of a collection of innate ageing processes that conspire with other, independent root causes of aging, to the detriment of tissue function.[25]

Weighted correlation network analysis edit

Horvath and members of his lab developed a widely used systems biological data mining technique known as weighted correlation network analysis.[26][27][28] He published a book on weighted network analysis and genomic applications.[29]

Awards and honors edit

Horvath has won several awards for his work on the epigenetic clock.

  • 2017 Allen Distinguished Investigator award for clock studies in vertebrates [30]
  • 2019 Open Philanthropy Project award for mechanistic studies of the epigenetic clock [31]
  • 2019 Schober Award for outstanding and innovative research in the field of ageing [32]
  • 2022 Nathan W. Shock Award [33]
  • 2022 Fellow of the American Statistical Association[34]
  • 2023 WNAR Outstanding Impact Award for Epigenetic Clocks and Weighted Correlation Network Analysis [35]

References edit

  1. ^ "Meet Altos Labs, Silicon Valley's latest wild bet on living forever". 4 September 2021.
  2. ^ "About the Clock Foundation". 12 October 2023.
  3. ^ a b c d e Gibbs, WT (2014). "Biomarkers and ageing: The clock-watcher". Nature. 508 (7495): 168–170. Bibcode:2014Natur.508..168G. doi:10.1038/508168a. PMID 24717494.
  4. ^ a b "About the universities". University of California Los Angeles. Retrieved 20 August 2020.
  5. ^ Bocklandt, S; Lin, W; Sehl, ME; Sánchez, FJ; Sinsheimer, JS; Horvath, S; Vilain, E (2011). "Epigenetic Predictor of Age". PLOS ONE. 6 (6): e14821. Bibcode:2011PLoSO...614821B. doi:10.1371/journal.pone.0014821. PMC 3120753. PMID 21731603.
  6. ^ a b Horvath, S (2013). "DNA methylation age of human tissues and cell types". Genome Biology. 14 (10): R115. doi:10.1186/gb-2013-14-10-r115. PMC 4015143. PMID 24138928.
  7. ^ Horvath, S; Mah, V; Lu, AT; Woo, JS; Choi, OW; Jasinska, AJ; Riancho, JA; Tung, S; Coles, NS; Braun, J; Vinters, HV; Coles, LS (2015). (PDF). Aging. 7 (5): 294–306. doi:10.18632/aging.100742. PMC 4468311. PMID 26000617. Archived from the original (PDF) on 2015-05-25. Retrieved 2017-06-23.
  8. ^ Marioni, R; Shah, S; McRae, A; Chen, B; Colicino, E; Harris, S; Gibson, J; Henders, A; Redmond, P; Cox, S; Pattie, A; Corley, J; Murphy, L; Martin, N; Montgomery, G; Feinberg, A; Fallin, M; Multhaup, M; Jaffe, A; Joehanes, R; Schwartz, J; Just, A; Lunetta, K; Murabito, JM; Starr, J; Horvath, S; Baccarelli, A; Levy, D; Visscher, P; Wray, N; Deary, I (2015). "DNA methylation age of blood predicts all-cause mortality in later life". Genome Biology. 16 (1): 25. doi:10.1186/s13059-015-0584-6. PMC 4350614. PMID 25633388.
  9. ^ Horvath, S (2015). "Decreased epigenetic age of PBMCs from Italian semi-supercentenarians and their offspring". Aging. 7 (Dec): 1159–70. doi:10.18632/aging.100861. PMC 4712339. PMID 26678252.
  10. ^ Chen, B; Marioni, ME (2016). "DNA methylation-based measures of biological age: meta-analysis predicting time to death". Aging. 8 (9): 1844–1865. doi:10.18632/aging.101020. PMC 5076441. PMID 27690265.
  11. ^ Horvath, S; Erhart, W; Brosch, M; Ammerpohl, O; von Schoenfels, W; Ahrens, M; Heits, N; Bell, JT; Tsai, PC; Spector, TD; Deloukas, P; Siebert, R; Sipos, B; Becker, T; Roecken, C; Schafmayer, C; Hampe, J (2014). "Obesity accelerates epigenetic aging of human liver". Proc Natl Acad Sci U S A. 111 (43): 15538–43. Bibcode:2014PNAS..11115538H. doi:10.1073/pnas.1412759111. PMC 4217403. PMID 25313081.
  12. ^ Horvath, S; Levine, AJ (2015). "HIV-1 infection accelerates age according to the epigenetic clock". J Infect Dis. 212 (10): 1563–73. doi:10.1093/infdis/jiv277. PMC 4621253. PMID 25969563.
  13. ^ Levine, M (2015). "Epigenetic age of the pre-frontal cortex is associated with neuritic plaques, amyloid load, and Alzheimer's disease related cognitive functioning". Aging. 7 (Dec): 1198–211. doi:10.18632/aging.100864. PMC 4712342. PMID 26684672.
  14. ^ Marioni, R; Shah, S; McRae, A; Ritchie, S; Muniz-Terrera, GH; SE; Gibson, J; Redmond, P; SR, C; Pattie, A; Corley, J; Taylor, A; Murphy, L; Starr, J; Horvath, S; Visscher, P; Wray, N; Deary, I (2015). "The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936". International Journal of Epidemiology. 44 (4): 1388–1396. doi:10.1093/ije/dyu277. PMC 4588858. PMID 25617346.
  15. ^ Horvath, S (2015). "Increased epigenetic age and granulocyte counts in the blood of Parkinson's disease patients". Aging. 7 (12): 1130–42. doi:10.18632/aging.100859. PMC 4712337. PMID 26655927.
  16. ^ Horvath, S (2016). "Huntington's disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels". Aging. 8 (7): 1485–512. doi:10.18632/aging.101005. PMC 4993344. PMID 27479945.
  17. ^ Levine, M (2016). "Menopause accelerates biological aging". Proc Natl Acad Sci USA. 113 (33): 9327–9332. Bibcode:2016PNAS..113.9327L. doi:10.1073/pnas.1604558113. PMC 4995944. PMID 27457926.
  18. ^ Maierhofer, A (2017). "Accelerated epigenetic aging in Werner syndrome". Aging. 9 (4): 1143–1152. doi:10.18632/aging.101217. PMC 5425119. PMID 28377537.
  19. ^ Horvath, S; Garagnani, P; Bacalini, MG; Pirazzini, C; Salvioli, S; Gentilini, D; Di Blasio, AM; Giuliani, C; Tung, S; Vinters, HV; Franceschi, C (Feb 2015). "Accelerated epigenetic aging in Down syndrome". Aging Cell. 14 (3): 491–5. doi:10.1111/acel.12325. PMC 4406678. PMID 25678027.
  20. ^ Lu, A (2016). "Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum". Nature Communications. 7: 10561. Bibcode:2016NatCo...710561L. doi:10.1038/ncomms10561. PMC 4740877. PMID 26830004.
  21. ^ Lu, A (2017). "Genetic architecture of epigenetic and neuronal ageing rates in human brain regions". Nature Communications. 8 (15353): 15353. Bibcode:2017NatCo...815353L. doi:10.1038/ncomms15353. PMC 5454371. PMID 28516910.
  22. ^ a b Lu, Ake T.; Xue, Luting; Salfati, Elias L.; Chen, Brian H.; Ferrucci, Luigi; Levy, Daniel; Joehanes, Roby; Murabito, Joanne M.; Kiel, Douglas P.; Tsai, Pei-Chien; Yet, Idil; Bell, Jordana T.; Mangino, Massimo; Tanaka, Toshiko; McRae, Allan F.; Marioni, Riccardo E.; Visscher, Peter M.; Wray, Naomi R.; Deary, Ian J.; Levine, Morgan E.; Quach, Austin; Assimes, Themistocles; Tsao, Philip S.; Absher, Devin; Stewart, James D.; Li, Yun; Reiner, Alex P.; Hou, Lifang; Baccarelli, Andrea A.; Whitsel, Eric A.; Aviv, Abraham; Cardona, Alexia; Day, Felix R.; Wareham, Nicholas J.; Perry, John R. B.; Ong, Ken K.; Raj, Kenneth; Lunetta, Kathryn L.; Horvath, Steve (26 January 2018). "GWAS of epigenetic aging rates in blood reveals a critical role for TERT". Nature Communications. 9 (1): 387. Bibcode:2018NatCo...9..387L. doi:10.1038/s41467-017-02697-5. PMC 5786029. PMID 29374233.
  23. ^ Horvath, Steve; Gurven, Michael; Levine, Morgan E.; Trumble, Benjamin C.; Kaplan, Hillard; Allayee, Hooman; Ritz, Beate R.; Chen, Brian; Lu, Ake T.; Rickabaugh, Tammy M.; Jamieson, Beth D.; Sun, Dianjianyi; Li, Shengxu; Chen, Wei; Quintana-Murci, Lluis; Fagny, Maud; Kobor, Michael S.; Tsao, Philip S.; Reiner, Alexander P.; Edlefsen, Kerstin L.; Absher, Devin; Assimes, Themistocles L. (11 August 2016). "An epigenetic clock analysis of race/ethnicity, sex, and coronary heart disease". Genome Biology. 17 (1): 171. doi:10.1186/s13059-016-1030-0. PMC 4980791. PMID 27511193.
  24. ^ Quach, Austin; Levine, Morgan E.; Tanaka, Toshiko; Lu, Ake T.; Chen, Brian H.; Ferrucci, Luigi; Ritz, Beate; Bandinelli, Stefania; Neuhouser, Marian L.; Beasley, Jeannette M.; Snetselaar, Linda; Wallace, Robert B.; Tsao, Philip S.; Absher, Devin; Assimes, Themistocles L.; Stewart, James D.; Li, Yun; Hou, Lifang; Baccarelli, Andrea A.; Whitsel, Eric A.; Horvath, Steve (14 February 2017). "Epigenetic clock analysis of diet, exercise, education, and lifestyle factors". Aging. 9 (2): 419–446. doi:10.18632/aging.101168. PMC 5361673. PMID 28198702.
  25. ^ a b Horvath, Steve; Raj, Kenneth (11 April 2018). "DNA methylation-based biomarkers and the epigenetic clock theory of ageing". Nature Reviews Genetics. 19 (6): 371–384. doi:10.1038/s41576-018-0004-3. PMID 29643443. S2CID 4709691.
  26. ^ Zhang, B; Horvath, S (2005). (PDF). Stat Appl Genet Mol Biol. 4: Article17. doi:10.2202/1544-6115.1128. PMID 16646834. S2CID 7756201. Archived from the original (PDF) on 2020-09-28. Retrieved 2017-06-23.
  27. ^ Horvath, S; Zhang, B; Carlson, M; Lu, KV; Zhu, S; Felciano, RM; Laurance, MF; Zhao, W; Shu, Q; Lee, Y; Scheck, AC; Liau, LM; Wu, H; Geschwind, DH; Febbo, PG; Kornblum, HI; Cloughesy, TF; Nelson, SF; Mischel, PS (2006). "Analysis of Oncogenic Signaling Networks in Glioblastoma Identifies ASPM as a Novel Molecular Target". PNAS. 103 (46): 17402–17407. Bibcode:2006PNAS..10317402H. doi:10.1073/pnas.0608396103. PMC 1635024. PMID 17090670.
  28. ^ Langfelder, P; Horvath, S (2008). "WGCNA: an R package for weighted correlation network analysis". BMC Bioinformatics. 9: 559. doi:10.1186/1471-2105-9-559. PMC 2631488. PMID 19114008.
  29. ^ Horvath S (2011). Weighted Network Analysis: Applications in Genomics and Systems Biology. Springer Book. 1st Edition., 2011, XXII, 414 p Hardcover ISBN 978-1-4419-8818-8 website
  30. ^ "The Paul G. Allen Frontiers Group Names Five Allen Distinguished Investigators". Cision PR Newswire. June 15, 2017.
  31. ^ "Open Philanthropy award for epigenetic clock research by Steve Horvath". openphilanthropy.org. April 2019.
  32. ^ "2019 Schober award for Steve Horvath from UCLA". University of Halle (Saale) Germany. September 13, 2019.
  33. ^ NIH May 2021 Director Status Report
  34. ^ "ASA 2022 Fellows" (PDF). American Statistical Association. Retrieved 2022-07-20.
  35. ^ "IBS/WNAR Outstanding Impact Award and Lectureship". International Biometric Society.

steve, horvath, german, american, aging, researcher, geneticist, biostatistician, professor, university, california, angeles, known, developing, horvath, aging, clock, which, highly, accurate, molecular, biomarker, aging, developing, weighted, correlation, net. Steve Horvath is a German American aging researcher geneticist and biostatistician He is a professor at the University of California Los Angeles known for developing the Horvath aging clock which is a highly accurate molecular biomarker of aging and for developing weighted correlation network analysis His work on the genomic biomarkers of aging the aging process and many age related diseases conditions has earned him several research awards Horvath is a principal investigator at the anti aging startup Altos Labs 1 and co founder of nonprofit Clock Foundation 2 Steve HorvathHorvath presenting a talk in 2015BornFrankfurt GermanyOccupationProfessor of Human Genetics amp BiostatisticsKnown forDeveloping the epigenetic clock Horvath clock and weighted correlation network analysisAcademic backgroundAlma materTechnical University of Berlin BS University of North Carolina Chapel Hill PhD Harvard School of Public Health Sc D Doctoral advisorRobert Brown GardnerNan LairdAcademic workInstitutionsUCLAAltos Labs Contents 1 Background 2 Work on the epigenetic clock 2 1 Age related conditions and phenotypes 2 2 Genetics of aging 2 3 Work in biodemography 2 4 Lifestyle factors and nutrition 2 5 Epigenetic clock theory of aging 3 Weighted correlation network analysis 4 Awards and honors 5 ReferencesBackground editHorvath was born in Frankfurt Germany as the family name Horvath indicates he is of Hungarian ancestry He received his Bachelor of Science in Mathematics and Physics at the Technical University of Berlin graduating in 1989 3 4 He received his Ph D in mathematics at the UNC Chapel Hill in 1995 and his Sc D in biostatistics at Harvard in 2000 4 In 2000 Horvath joined the faculty of the University of California Los Angeles where he is a professor of human genetics at the David Geffen School of Medicine at UCLA and of biostatistics at the UCLA Fielding School of Public Health 3 Work on the epigenetic clock editHorvath s development of the DNA methylation based age estimation method known as epigenetic clock was featured in Nature magazine 3 In 2011 Horvath co authored the first article that described an age estimation method based on DNA methylation levels from saliva 5 In 2013 Horvath published a single author article on a multi tissue age estimation method that applies to all nucleated cells tissues and organs 6 3 This discovery known as the Horvath clock was unexpected because cell types differ in terms of their DNA methylation patterns and age related DNA methylation changes tend to be tissue specific 3 In his article he demonstrated that estimated age also referred to as DNA methylation age has the following properties it is close to zero for embryonic and induced pluripotent stem cells it correlates with cell passage number it gives rise to a highly heritable measure of age acceleration and it is applicable to chimpanzees 6 Since the Horvath clock allows one to contrast the ages of different tissues from the same individuals it can be used to identify tissues that show evidence of increased or decreased age 7 Age related conditions and phenotypes edit Horvath co authored the first articles demonstrating that DNA methylation age predicts life expectancy 8 9 10 and is positively associated with obesity 11 HIV infection 12 Alzheimer s disease 13 cognitive decline 14 Parkinson s disease 15 Huntington s disease 16 early menopause 17 and Werner syndrome 18 Genetics of aging edit Horvath published the first article demonstrating that trisomy 21 Down syndrome is associated with strong epigenetic age acceleration effects in both blood and brain tissue 19 Using genome wide association studies Horvath s team identified the first genetic markers SNPs that exhibit genome wide significant associations with epigenetic aging rates 20 21 in particular the first genome wide significant genetic loci associated with epigenetic aging rates in blood notably the telomerase reverse transcriptase gene TERT locus 22 As part of this work his team uncovered a paradoxical relationship genetic variants associated with longer leukocyte telomere length in the TERT gene paradoxically confer higher epigenetic age acceleration in blood 22 Work in biodemography edit Horvath proposed that slower epigenetic aging rates could explain the mortality advantage of women and the Hispanic mortality paradox 23 Lifestyle factors and nutrition edit Horvath published the first large scale study of the effect of lifestyle factors on epigenetic aging rates 24 These cross sectional of epigenetic aging rates in blood confirm the conventional wisdom regarding the benefits of education eating a high plant diet with lean meats moderate alcohol consumption physical activity and the risks associated with metabolic syndrome Epigenetic clock theory of aging edit Horvath and Raj proposed an epigenetic clock theory of aging 25 which views biological aging as an unintended consequence of both developmental programs and maintenance program the molecular footprints of which give rise to DNA methylation age estimators DNAm age is viewed as a proximal readout of a collection of innate ageing processes that conspire with other independent root causes of aging to the detriment of tissue function 25 Weighted correlation network analysis editHorvath and members of his lab developed a widely used systems biological data mining technique known as weighted correlation network analysis 26 27 28 He published a book on weighted network analysis and genomic applications 29 Awards and honors editHorvath has won several awards for his work on the epigenetic clock 2017 Allen Distinguished Investigator award for clock studies in vertebrates 30 2019 Open Philanthropy Project award for mechanistic studies of the epigenetic clock 31 2019 Schober Award for outstanding and innovative research in the field of ageing 32 2022 Nathan W Shock Award 33 2022 Fellow of the American Statistical Association 34 2023 WNAR Outstanding Impact Award for Epigenetic Clocks and Weighted Correlation Network Analysis 35 References edit Meet Altos Labs Silicon Valley s latest wild bet on living forever 4 September 2021 About the Clock Foundation 12 October 2023 a b c d e Gibbs WT 2014 Biomarkers and ageing The clock watcher Nature 508 7495 168 170 Bibcode 2014Natur 508 168G doi 10 1038 508168a PMID 24717494 a b About the universities University of California Los Angeles Retrieved 20 August 2020 Bocklandt S Lin W Sehl ME Sanchez FJ Sinsheimer JS Horvath S Vilain E 2011 Epigenetic Predictor of Age PLOS ONE 6 6 e14821 Bibcode 2011PLoSO 614821B doi 10 1371 journal pone 0014821 PMC 3120753 PMID 21731603 a b Horvath S 2013 DNA methylation age of human tissues and cell types Genome Biology 14 10 R115 doi 10 1186 gb 2013 14 10 r115 PMC 4015143 PMID 24138928 Horvath S Mah V Lu AT Woo JS Choi OW Jasinska AJ Riancho JA Tung S Coles NS Braun J Vinters HV Coles LS 2015 The cerebellum ages slowly according to the epigenetic clock PDF Aging 7 5 294 306 doi 10 18632 aging 100742 PMC 4468311 PMID 26000617 Archived from the original PDF on 2015 05 25 Retrieved 2017 06 23 Marioni R Shah S McRae A Chen B Colicino E Harris S Gibson J Henders A Redmond P Cox S Pattie A Corley J Murphy L Martin N Montgomery G Feinberg A Fallin M Multhaup M Jaffe A Joehanes R Schwartz J Just A Lunetta K Murabito JM Starr J Horvath S Baccarelli A Levy D Visscher P Wray N Deary I 2015 DNA methylation age of blood predicts all cause mortality in later life Genome Biology 16 1 25 doi 10 1186 s13059 015 0584 6 PMC 4350614 PMID 25633388 Horvath S 2015 Decreased epigenetic age of PBMCs from Italian semi supercentenarians and their offspring Aging 7 Dec 1159 70 doi 10 18632 aging 100861 PMC 4712339 PMID 26678252 Chen B Marioni ME 2016 DNA methylation based measures of biological age meta analysis predicting time to death Aging 8 9 1844 1865 doi 10 18632 aging 101020 PMC 5076441 PMID 27690265 Horvath S Erhart W Brosch M Ammerpohl O von Schoenfels W Ahrens M Heits N Bell JT Tsai PC Spector TD Deloukas P Siebert R Sipos B Becker T Roecken C Schafmayer C Hampe J 2014 Obesity accelerates epigenetic aging of human liver Proc Natl Acad Sci U S A 111 43 15538 43 Bibcode 2014PNAS 11115538H doi 10 1073 pnas 1412759111 PMC 4217403 PMID 25313081 Horvath S Levine AJ 2015 HIV 1 infection accelerates age according to the epigenetic clock J Infect Dis 212 10 1563 73 doi 10 1093 infdis jiv277 PMC 4621253 PMID 25969563 Levine M 2015 Epigenetic age of the pre frontal cortex is associated with neuritic plaques amyloid load and Alzheimer s disease related cognitive functioning Aging 7 Dec 1198 211 doi 10 18632 aging 100864 PMC 4712342 PMID 26684672 Marioni R Shah S McRae A Ritchie S Muniz Terrera GH SE Gibson J Redmond P SR C Pattie A Corley J Taylor A Murphy L Starr J Horvath S Visscher P Wray N Deary I 2015 The epigenetic clock is correlated with physical and cognitive fitness in the Lothian Birth Cohort 1936 International Journal of Epidemiology 44 4 1388 1396 doi 10 1093 ije dyu277 PMC 4588858 PMID 25617346 Horvath S 2015 Increased epigenetic age and granulocyte counts in the blood of Parkinson s disease patients Aging 7 12 1130 42 doi 10 18632 aging 100859 PMC 4712337 PMID 26655927 Horvath S 2016 Huntington s disease accelerates epigenetic aging of human brain and disrupts DNA methylation levels Aging 8 7 1485 512 doi 10 18632 aging 101005 PMC 4993344 PMID 27479945 Levine M 2016 Menopause accelerates biological aging Proc Natl Acad Sci USA 113 33 9327 9332 Bibcode 2016PNAS 113 9327L doi 10 1073 pnas 1604558113 PMC 4995944 PMID 27457926 Maierhofer A 2017 Accelerated epigenetic aging in Werner syndrome Aging 9 4 1143 1152 doi 10 18632 aging 101217 PMC 5425119 PMID 28377537 Horvath S Garagnani P Bacalini MG Pirazzini C Salvioli S Gentilini D Di Blasio AM Giuliani C Tung S Vinters HV Franceschi C Feb 2015 Accelerated epigenetic aging in Down syndrome Aging Cell 14 3 491 5 doi 10 1111 acel 12325 PMC 4406678 PMID 25678027 Lu A 2016 Genetic variants near MLST8 and DHX57 affect the epigenetic age of the cerebellum Nature Communications 7 10561 Bibcode 2016NatCo 710561L doi 10 1038 ncomms10561 PMC 4740877 PMID 26830004 Lu A 2017 Genetic architecture of epigenetic and neuronal ageing rates in human brain regions Nature Communications 8 15353 15353 Bibcode 2017NatCo 815353L doi 10 1038 ncomms15353 PMC 5454371 PMID 28516910 a b Lu Ake T Xue Luting Salfati Elias L Chen Brian H Ferrucci Luigi Levy Daniel Joehanes Roby Murabito Joanne M Kiel Douglas P Tsai Pei Chien Yet Idil Bell Jordana T Mangino Massimo Tanaka Toshiko McRae Allan F Marioni Riccardo E Visscher Peter M Wray Naomi R Deary Ian J Levine Morgan E Quach Austin Assimes Themistocles Tsao Philip S Absher Devin Stewart James D Li Yun Reiner Alex P Hou Lifang Baccarelli Andrea A Whitsel Eric A Aviv Abraham Cardona Alexia Day Felix R Wareham Nicholas J Perry John R B Ong Ken K Raj Kenneth Lunetta Kathryn L Horvath Steve 26 January 2018 GWAS of epigenetic aging rates in blood reveals a critical role for TERT Nature Communications 9 1 387 Bibcode 2018NatCo 9 387L doi 10 1038 s41467 017 02697 5 PMC 5786029 PMID 29374233 Horvath Steve Gurven Michael Levine Morgan E Trumble Benjamin C Kaplan Hillard Allayee Hooman Ritz Beate R Chen Brian Lu Ake T Rickabaugh Tammy M Jamieson Beth D Sun Dianjianyi Li Shengxu Chen Wei Quintana Murci Lluis Fagny Maud Kobor Michael S Tsao Philip S Reiner Alexander P Edlefsen Kerstin L Absher Devin Assimes Themistocles L 11 August 2016 An epigenetic clock analysis of race ethnicity sex and coronary heart disease Genome Biology 17 1 171 doi 10 1186 s13059 016 1030 0 PMC 4980791 PMID 27511193 Quach Austin Levine Morgan E Tanaka Toshiko Lu Ake T Chen Brian H Ferrucci Luigi Ritz Beate Bandinelli Stefania Neuhouser Marian L Beasley Jeannette M Snetselaar Linda Wallace Robert B Tsao Philip S Absher Devin Assimes Themistocles L Stewart James D Li Yun Hou Lifang Baccarelli Andrea A Whitsel Eric A Horvath Steve 14 February 2017 Epigenetic clock analysis of diet exercise education and lifestyle factors Aging 9 2 419 446 doi 10 18632 aging 101168 PMC 5361673 PMID 28198702 a b Horvath Steve Raj Kenneth 11 April 2018 DNA methylation based biomarkers and the epigenetic clock theory of ageing Nature Reviews Genetics 19 6 371 384 doi 10 1038 s41576 018 0004 3 PMID 29643443 S2CID 4709691 Zhang B Horvath S 2005 A general framework for weighted gene co expression network analysis PDF Stat Appl Genet Mol Biol 4 Article17 doi 10 2202 1544 6115 1128 PMID 16646834 S2CID 7756201 Archived from the original PDF on 2020 09 28 Retrieved 2017 06 23 Horvath S Zhang B Carlson M Lu KV Zhu S Felciano RM Laurance MF Zhao W Shu Q Lee Y Scheck AC Liau LM Wu H Geschwind DH Febbo PG Kornblum HI Cloughesy TF Nelson SF Mischel PS 2006 Analysis of Oncogenic Signaling Networks in Glioblastoma Identifies ASPM as a Novel Molecular Target PNAS 103 46 17402 17407 Bibcode 2006PNAS 10317402H doi 10 1073 pnas 0608396103 PMC 1635024 PMID 17090670 Langfelder P Horvath S 2008 WGCNA an R package for weighted correlation network analysis BMC Bioinformatics 9 559 doi 10 1186 1471 2105 9 559 PMC 2631488 PMID 19114008 Horvath S 2011 Weighted Network Analysis Applications in Genomics and Systems Biology Springer Book 1st Edition 2011 XXII 414 p Hardcover ISBN 978 1 4419 8818 8 website The Paul G Allen Frontiers Group Names Five Allen Distinguished Investigators Cision PR Newswire June 15 2017 Open Philanthropy award for epigenetic clock research by Steve Horvath openphilanthropy org April 2019 2019 Schober award for Steve Horvath from UCLA University of Halle Saale Germany September 13 2019 NIH May 2021 Director Status Report ASA 2022 Fellows PDF American Statistical Association Retrieved 2022 07 20 IBS WNAR Outstanding Impact Award and Lectureship International Biometric Society Retrieved from https en wikipedia org w index php title Steve Horvath amp oldid 1217576993 Epigenetic clock theory of aging, wikipedia, wiki, book, books, library,

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