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Genetic influences on circulating retinol and its relationship to human health

Author

Listed:
  • William R. Reay

    (The University of Newcastle
    Precision Medicine Research Program, Hunter Medical Research Institute
    The University of Melbourne)

  • Dylan J. Kiltschewskij

    (The University of Newcastle
    Precision Medicine Research Program, Hunter Medical Research Institute)

  • Maria A. Biase

    (The University of Melbourne
    The University of Melbourne
    Harvard Medical School)

  • Zachary F. Gerring

    (QIMR Berghofer Medical Research Institute)

  • Kousik Kundu

    (Wellcome Genome Campus
    University of Cambridge, Cambridge Biomedical Campus)

  • Praveen Surendran

    (University of Cambridge
    University of Cambridge
    Wellcome Genome Campus and University of Cambridge)

  • Laura A. Greco

    (The University of Newcastle
    Precision Medicine Research Program, Hunter Medical Research Institute)

  • Erin D. Clarke

    (The University of Newcastle
    Food and Nutrition Research Program, Hunter Medical Research Institute)

  • Clare E. Collins

    (The University of Newcastle
    Food and Nutrition Research Program, Hunter Medical Research Institute)

  • Alison M. Mondul

    (University of Michigan School of Public Health)

  • Demetrius Albanes

    (NIH, Department of Health and Human Services)

  • Murray J. Cairns

    (The University of Newcastle
    Precision Medicine Research Program, Hunter Medical Research Institute)

Abstract

Retinol is a fat-soluble vitamin that plays an essential role in many biological processes throughout the human lifespan. Here, we perform the largest genome-wide association study (GWAS) of retinol to date in up to 22,274 participants. We identify eight common variant loci associated with retinol, as well as a rare-variant signal. An integrative gene prioritisation pipeline supports novel retinol-associated genes outside of the main retinol transport complex (RBP4:TTR) related to lipid biology, energy homoeostasis, and endocrine signalling. Genetic proxies of circulating retinol were then used to estimate causal relationships with almost 20,000 clinical phenotypes via a phenome-wide Mendelian randomisation study (MR-pheWAS). The MR-pheWAS suggests that retinol may exert causal effects on inflammation, adiposity, ocular measures, the microbiome, and MRI-derived brain phenotypes, amongst several others. Conversely, circulating retinol may be causally influenced by factors including lipids and serum creatinine. Finally, we demonstrate how a retinol polygenic score could identify individuals more likely to fall outside of the normative range of circulating retinol for a given age. In summary, this study provides a comprehensive evaluation of the genetics of circulating retinol, as well as revealing traits which should be prioritised for further investigation with respect to retinol related therapies or nutritional intervention.

Suggested Citation

  • William R. Reay & Dylan J. Kiltschewskij & Maria A. Biase & Zachary F. Gerring & Kousik Kundu & Praveen Surendran & Laura A. Greco & Erin D. Clarke & Clare E. Collins & Alison M. Mondul & Demetrius Al, 2024. "Genetic influences on circulating retinol and its relationship to human health," Nature Communications, Nature, vol. 15(1), pages 1-20, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-45779-x
    DOI: 10.1038/s41467-024-45779-x
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    References listed on IDEAS

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    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. Ronan Russell & Phichitpol P. Carnese & Thomas G. Hennings & Emily M. Walker & Holger A. Russ & Jennifer S. Liu & Simone Giacometti & Roland Stein & Matthias Hebrok, 2020. "Loss of the transcription factor MAFB limits β-cell derivation from human PSCs," Nature Communications, Nature, vol. 11(1), pages 1-15, December.
    3. William R. Reay & Michael P. Geaghan & Murray J. Cairns, 2022. "The genetic architecture of pneumonia susceptibility implicates mucin biology and a relationship with psychiatric illness," Nature Communications, Nature, vol. 13(1), pages 1-16, December.
    4. Yaowu Liu & Jun Xie, 2020. "Cauchy Combination Test: A Powerful Test With Analytic p-Value Calculation Under Arbitrary Dependency Structures," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 115(529), pages 393-402, January.
    5. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "Author Correction: FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 615(7952), pages 19-19, March.
    6. Joana A. Revez & Tian Lin & Zhen Qiao & Angli Xue & Yan Holtz & Zhihong Zhu & Jian Zeng & Huanwei Wang & Julia Sidorenko & Kathryn E. Kemper & Anna A. E. Vinkhuyzen & Julanne Frater & Darryl Eyles & T, 2020. "Genome-wide association study identifies 143 loci associated with 25 hydroxyvitamin D concentration," Nature Communications, Nature, vol. 11(1), pages 1-12, December.
    7. Kyoko Watanabe & Erdogan Taskesen & Arjen Bochoven & Danielle Posthuma, 2017. "Functional mapping and annotation of genetic associations with FUMA," Nature Communications, Nature, vol. 8(1), pages 1-11, December.
    8. Yingchang Lu & Felix R. Day & Stefan Gustafsson & Martin L. Buchkovich & Jianbo Na & Veronique Bataille & Diana L. Cousminer & Zari Dastani & Alexander W. Drong & Tõnu Esko & David M. Evans & Mario Fa, 2016. "New loci for body fat percentage reveal link between adiposity and cardiometabolic disease risk," Nature Communications, Nature, vol. 7(1), pages 1-15, April.
    9. Xianyong Yin & Lap Sum Chan & Debraj Bose & Anne U. Jackson & Peter VandeHaar & Adam E. Locke & Christian Fuchsberger & Heather M. Stringham & Ryan Welch & Ketian Yu & Lilian Fernandes Silva & Susan K, 2022. "Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci," Nature Communications, Nature, vol. 13(1), pages 1-14, December.
    10. R. A. Rigby & D. M. Stasinopoulos, 2005. "Generalized additive models for location, scale and shape," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(3), pages 507-554, June.
    11. Mitja I. Kurki & Juha Karjalainen & Priit Palta & Timo P. Sipilä & Kati Kristiansson & Kati M. Donner & Mary P. Reeve & Hannele Laivuori & Mervi Aavikko & Mari A. Kaunisto & Anu Loukola & Elisa Lahtel, 2023. "FinnGen provides genetic insights from a well-phenotyped isolated population," Nature, Nature, vol. 613(7944), pages 508-518, January.
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