Steve Horvath

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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]

Background

Horvath was born in

UCLA and of biostatistics at the UCLA Fielding School of Public Health.[3]

Work on the epigenetic clock

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

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

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

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

Lifestyle factors and nutrition

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

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

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

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

References

  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. ^
    PMID 24717494
    .
  4. ^ a b "About the universities". University of California Los Angeles. Retrieved 20 August 2020.
  5. PMID 21731603
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  6. ^ .
  7. PMID 26000617. Archived from the original
    (PDF) on 2015-05-25. Retrieved 2017-06-23.
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  26. S2CID 7756201. Archived from the original
    (PDF) on 2020-09-28. Retrieved 2017-06-23.
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  29. ^ "The Paul G. Allen Frontiers Group Names Five Allen Distinguished Investigators". Cision PR Newswire. June 15, 2017.
  30. ^ "Open Philanthropy award for epigenetic clock research by Steve Horvath". openphilanthropy.org. April 2019.
  31. ^ "2019 Schober award for Steve Horvath from UCLA". University of Halle (Saale) Germany. September 13, 2019.
  32. ^ NIH May 2021 Director Status Report
  33. ^ "ASA 2022 Fellows" (PDF). American Statistical Association. Retrieved 2022-07-20.
  34. ^ "IBS/WNAR Outstanding Impact Award and Lectureship". International Biometric Society.