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Alexander P Reiner

Biographic Data

ID1754425
NAMEAlexander P Reiner
GIVEN NAMESAlexander P
FAMILY NAMEReiner
SIGNATUREREINER A P
AFFILIATIONSFred Hutch Cancer Center
ORCID0000-0002-1427-4470
VERIFIEDYes
TOTAL WORKS5
TOTAL CITATIONS1
WORKS AS AUTHOR5
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2018
LATEST PUBLICATION YEAR2024
H-INDEX1
  • The genetic landscape of neuro-related proteins in human plasma

    Open Access•Luca Repetto, Jiantao Chen et al.•ARTICLE•Nature Human Behaviour•2024•References: 70

  • Individual and Neighborhood-level Socioeconomic Status and Somatic Mutations Associated With Increased Risk of Cardiovascular Disease and Mortality

    Open Access•Shelly‐Ann Love, Jason M Collins et al.•ARTICLE•Women s Health Issues•2023

  • Rare genetic variants explain missing heritability in smoking

    Open Access•Seon-Kyeong Jang, Luke Evans et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 1•References: 75

  • DNA methylation GrimAge strongly predicts lifespan and healthspan

    Open Access•Ake T Lu, Austin Quach et al.•ARTICLE•Aging•2019

    Using large scale validation data from thousands of individuals, we demonstrate that DNAm GrimAge stands out among existing epigenetic clocks in terms of its predictive ability for time-to-death (Cox regression P=2.0E-75), time-to-coronary heart disease (Cox P=6.2E-24), time-to-cancer (P= 1.3E-12), its strong relationship with computed tomography data for fatty liver/excess visceral fat, and age-at-menopause (P=1.6E-12). AgeAccelGrim is strongly …

  • An epigenetic biomarker of aging for lifespan and healthspan

    Open Access•M E Levine, Ake T Lu et al.•ARTICLE•Aging•2018

    Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. U…

  • Rare genetic variants explain missing heritability in smoking

    Open Access•Seon-Kyeong Jang, Luke Evans et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 1•References: 75

  • An epigenetic biomarker of aging for lifespan and healthspan

    Open Access•M E Levine, Ake T Lu et al.•ARTICLE•Aging•2018

    Identifying reliable biomarkers of aging is a major goal in geroscience. While the first generation of epigenetic biomarkers of aging were developed using chronological age as a surrogate for biological age, we hypothesized that incorporation of composite clinical measures of phenotypic age that capture differences in lifespan and healthspan may identify novel CpGs and facilitate the development of a more powerful epigenetic biomarker of aging. U…

  • DNA methylation GrimAge strongly predicts lifespan and healthspan

    Open Access•Ake T Lu, Austin Quach et al.•ARTICLE•Aging•2019

    Using large scale validation data from thousands of individuals, we demonstrate that DNAm GrimAge stands out among existing epigenetic clocks in terms of its predictive ability for time-to-death (Cox regression P=2.0E-75), time-to-coronary heart disease (Cox P=6.2E-24), time-to-cancer (P= 1.3E-12), its strong relationship with computed tomography data for fatty liver/excess visceral fat, and age-at-menopause (P=1.6E-12). AgeAccelGrim is strongly …

  • Rare genetic variants explain missing heritability in smoking

    Open Access•Seon-Kyeong Jang, Luke Evans et al.•ARTICLE•Nature Human Behaviour•2022•Cited by: 1•References: 75

  • Individual and Neighborhood-level Socioeconomic Status and Somatic Mutations Associated With Increased Risk of Cardiovascular Disease and Mortality

    Open Access•Shelly‐Ann Love, Jason M Collins et al.•ARTICLE•Women s Health Issues•2023

  • The genetic landscape of neuro-related proteins in human plasma

    Open Access•Luca Repetto, Jiantao Chen et al.•ARTICLE•Nature Human Behaviour•2024•References: 70

Biology (5 works) · Gene (3 works) · Medicine (3 works) · Bioinformatics (2 works) · Biomarker (2 works) · Birth, Development, and Health (2 works) · Computational biology (2 works) · Disease (2 works) · DNA methylation (2 works) · dNaM (2 works)

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