IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-33509-0.html
   My bibliography  Save this article

Tissue-specific impacts of aging and genetics on gene expression patterns in humans

Author

Listed:
  • Ryo Yamamoto

    (University of California Berkeley
    University of California Los Angeles)

  • Ryan Chung

    (University of California Berkeley)

  • Juan Manuel Vazquez

    (University of California Berkeley)

  • Huanjie Sheng

    (University of California Berkeley)

  • Philippa L. Steinberg

    (University of California Berkeley)

  • Nilah M. Ioannidis

    (University of California Berkeley
    University of California Berkeley)

  • Peter H. Sudmant

    (University of California Berkeley
    University of California Berkeley)

Abstract

Age is the primary risk factor for many common human diseases. Here, we quantify the relative contributions of genetics and aging to gene expression patterns across 27 tissues from 948 humans. We show that the predictive power of expression quantitative trait loci is impacted by age in many tissues. Jointly modelling the contributions of age and genetics to transcript level variation we find expression heritability (h2) is consistent among tissues while the contribution of aging varies by >20-fold with $${R}_{{{{{{{{\rm{age}}}}}}}}}^{2} \; > \;{h}^{2}$$ R age 2 > h 2 in 5 tissues. We find that while the force of purifying selection is stronger on genes expressed early versus late in life (Medawar’s hypothesis), several highly proliferative tissues exhibit the opposite pattern. These non-Medawarian tissues exhibit high rates of cancer and age-of-expression-associated somatic mutations. In contrast, genes under genetic control are under relaxed constraint. Together, we demonstrate the distinct roles of aging and genetics on expression phenotypes.

Suggested Citation

  • Ryo Yamamoto & Ryan Chung & Juan Manuel Vazquez & Huanjie Sheng & Philippa L. Steinberg & Nilah M. Ioannidis & Peter H. Sudmant, 2022. "Tissue-specific impacts of aging and genetics on gene expression patterns in humans," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
  • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33509-0
    DOI: 10.1038/s41467-022-33509-0
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-33509-0
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-022-33509-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Claudia Giambartolomei & Damjan Vukcevic & Eric E Schadt & Lude Franke & Aroon D Hingorani & Chris Wallace & Vincent Plagnol, 2014. "Bayesian Test for Colocalisation between Pairs of Genetic Association Studies Using Summary Statistics," PLOS Genetics, Public Library of Science, vol. 10(5), pages 1-15, May.
    2. Monkol Lek & Konrad J. Karczewski & Eric V. Minikel & Kaitlin E. Samocha & Eric Banks & Timothy Fennell & Anne H. O’Donnell-Luria & James S. Ware & Andrew J. Hill & Beryl B. Cummings & Taru Tukiainen , 2016. "Analysis of protein-coding genetic variation in 60,706 humans," Nature, Nature, vol. 536(7616), pages 285-291, August.
    3. Changde Cheng & Mark Kirkpatrick, 2021. "Molecular evolution and the decline of purifying selection with age," Nature Communications, Nature, vol. 12(1), pages 1-10, December.
    4. Friedman, Jerome H. & Hastie, Trevor & Tibshirani, Rob, 2010. "Regularization Paths for Generalized Linear Models via Coordinate Descent," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 33(i01).
    5. Oliver Stegle & Leopold Parts & Richard Durbin & John Winn, 2010. "A Bayesian Framework to Account for Complex Non-Genetic Factors in Gene Expression Levels Greatly Increases Power in eQTL Studies," PLOS Computational Biology, Public Library of Science, vol. 6(5), pages 1-11, May.
    6. Margaret K. R. Donovan & Agnieszka D’Antonio-Chronowska & Matteo D’Antonio & Kelly A. Frazer, 2020. "Author Correction: Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants," Nature Communications, Nature, vol. 11(1), pages 1-1, December.
    7. Tom G. Richardson & Gibran Hemani & Tom R. Gaunt & Caroline L. Relton & George Davey Smith, 2020. "A transcriptome-wide Mendelian randomization study to uncover tissue-dependent regulatory mechanisms across the human phenome," Nature Communications, Nature, vol. 11(1), pages 1-11, December.
    8. Margaret K. R. Donovan & Agnieszka D’Antonio-Chronowska & Matteo D’Antonio & Kelly A. Frazer, 2020. "Cellular deconvolution of GTEx tissues powers discovery of disease and cell-type associated regulatory variants," Nature Communications, Nature, vol. 11(1), pages 1-14, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ying Chang & Yao Zhou & Junrui Zhou & Wen Li & Jiasong Cao & Yaqing Jing & Shan Zhang & Yongmei Shen & Qimei Lin & Xutong Fan & Hongxi Yang & Xiaobao Dong & Shijie Zhang & Xianfu Yi & Ling Shuai & Lei, 2023. "Unraveling the causal genes and transcriptomic determinants of human telomere length," Nature Communications, Nature, vol. 14(1), pages 1-15, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Matteo D’Antonio & Jennifer P. Nguyen & Timothy D. Arthur & Hiroko Matsui & Agnieszka D’Antonio-Chronowska & Kelly A. Frazer, 2023. "Fine mapping spatiotemporal mechanisms of genetic variants underlying cardiac traits and disease," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    2. Xiaoyu Song & Jiayi Ji & Joseph H. Rothstein & Stacey E. Alexeeff & Lori C. Sakoda & Adriana Sistig & Ninah Achacoso & Eric Jorgenson & Alice S. Whittemore & Robert J. Klein & Laurel A. Habel & Pei Wa, 2023. "MiXcan: a framework for cell-type-aware transcriptome-wide association studies with an application to breast cancer," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    3. Zichen Zhang & Ye Eun Bae & Jonathan R. Bradley & Lang Wu & Chong Wu, 2022. "SUMMIT: An integrative approach for better transcriptomic data imputation improves causal gene identification," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    4. Valur Emilsson & Elias F. Gudmundsson & Thorarinn Jonmundsson & Brynjolfur G. Jonsson & Michael Twarog & Valborg Gudmundsdottir & Zhiguang Li & Nancy Finkel & Stephen Poor & Xin Liu & Robert Esterberg, 2022. "A proteogenomic signature of age-related macular degeneration in blood," Nature Communications, Nature, vol. 13(1), pages 1-15, December.
    5. The Tien Mai, 2023. "Reliable Genetic Correlation Estimation via Multiple Sample Splitting and Smoothing," Mathematics, MDPI, vol. 11(9), pages 1-13, May.
    6. Satria P. Sajuthi & Jamie L. Everman & Nathan D. Jackson & Benjamin Saef & Cydney L. Rios & Camille M. Moore & Angel C. Y. Mak & Celeste Eng & Ana Fairbanks-Mahnke & Sandra Salazar & Jennifer Elhawary, 2022. "Nasal airway transcriptome-wide association study of asthma reveals genetically driven mucus pathobiology," Nature Communications, Nature, vol. 13(1), pages 1-17, December.
    7. Minhui Chen & Andy Dahl, 2024. "A robust model for cell type-specific interindividual variation in single-cell RNA sequencing data," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    8. Ying Chang & Yao Zhou & Junrui Zhou & Wen Li & Jiasong Cao & Yaqing Jing & Shan Zhang & Yongmei Shen & Qimei Lin & Xutong Fan & Hongxi Yang & Xiaobao Dong & Shijie Zhang & Xianfu Yi & Ling Shuai & Lei, 2023. "Unraveling the causal genes and transcriptomic determinants of human telomere length," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    9. Jorge Vaquero-Garcia & Joseph K. Aicher & San Jewell & Matthew R. Gazzara & Caleb M. Radens & Anupama Jha & Scott S. Norton & Nicholas F. Lahens & Gregory R. Grant & Yoseph Barash, 2023. "RNA splicing analysis using heterogeneous and large RNA-seq datasets," Nature Communications, Nature, vol. 14(1), pages 1-20, December.
    10. Sébastien Thériault & Zhonglin Li & Erik Abner & Jian’an Luan & Hasanga D. Manikpurage & Ursula Houessou & Pardis Zamani & Mewen Briend & Dominique K. Boudreau & Nathalie Gaudreault & Lily Frenette & , 2024. "Integrative genomic analyses identify candidate causal genes for calcific aortic valve stenosis involving tissue-specific regulation," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    11. Thorunn A. Olafsdottir & Gudmar Thorleifsson & Aitzkoa Lopez de Lapuente Portilla & Stefan Jonsson & Lilja Stefansdottir & Abhishek Niroula & Aslaug Jonasdottir & Hannes P. Eggertsson & Gisli H. Halld, 2024. "Sequence variants influencing the regulation of serum IgG subclass levels," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    12. Heather E Wheeler & Kaanan P Shah & Jonathon Brenner & Tzintzuni Garcia & Keston Aquino-Michaels & GTEx Consortium & Nancy J Cox & Dan L Nicolae & Hae Kyung Im, 2016. "Survey of the Heritability and Sparse Architecture of Gene Expression Traits across Human Tissues," PLOS Genetics, Public Library of Science, vol. 12(11), pages 1-23, November.
    13. Paul Little & Si Liu & Vasyl Zhabotynsky & Yun Li & Dan-Yu Lin & Wei Sun, 2023. "A computational method for cell type-specific expression quantitative trait loci mapping using bulk RNA-seq data," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    14. Tutz, Gerhard & Pößnecker, Wolfgang & Uhlmann, Lorenz, 2015. "Variable selection in general multinomial logit models," Computational Statistics & Data Analysis, Elsevier, vol. 82(C), pages 207-222.
    15. Ernesto Carrella & Richard M. Bailey & Jens Koed Madsen, 2018. "Indirect inference through prediction," Papers 1807.01579, arXiv.org.
    16. Rui Wang & Naihua Xiu & Kim-Chuan Toh, 2021. "Subspace quadratic regularization method for group sparse multinomial logistic regression," Computational Optimization and Applications, Springer, vol. 79(3), pages 531-559, July.
    17. Mkhadri, Abdallah & Ouhourane, Mohamed, 2013. "An extended variable inclusion and shrinkage algorithm for correlated variables," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 631-644.
    18. Masakazu Higuchi & Mitsuteru Nakamura & Shuji Shinohara & Yasuhiro Omiya & Takeshi Takano & Daisuke Mizuguchi & Noriaki Sonota & Hiroyuki Toda & Taku Saito & Mirai So & Eiji Takayama & Hiroo Terashi &, 2022. "Detection of Major Depressive Disorder Based on a Combination of Voice Features: An Exploratory Approach," IJERPH, MDPI, vol. 19(18), pages 1-13, September.
    19. Jacob Joseph & Chang Liu & Qin Hui & Krishna Aragam & Zeyuan Wang & Brian Charest & Jennifer E. Huffman & Jacob M. Keaton & Todd L. Edwards & Serkalem Demissie & Luc Djousse & Juan P. Casas & J. Micha, 2022. "Genetic architecture of heart failure with preserved versus reduced ejection fraction," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    20. Susan Athey & Guido W. Imbens & Stefan Wager, 2018. "Approximate residual balancing: debiased inference of average treatment effects in high dimensions," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 80(4), pages 597-623, September.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-33509-0. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.