IDEAS home Printed from https://ideas.repec.org/a/spr/jhappi/v23y2022i6d10.1007_s10902-022-00538-x.html
   My bibliography  Save this article

A Re-evaluation of Candidate Gene Studies for Well-Being in Light of Genome-Wide Evidence

Author

Listed:
  • Margot P. Weijer

    (Vrije Universiteit Amsterdam
    Amsterdam Public Health Research Institute, Amsterdam University Medical Centres)

  • Dirk H. M. Pelt

    (Vrije Universiteit Amsterdam
    Amsterdam Public Health Research Institute, Amsterdam University Medical Centres)

  • Lianne P. Vries

    (Vrije Universiteit Amsterdam
    Amsterdam Public Health Research Institute, Amsterdam University Medical Centres)

  • Bart M. L. Baselmans

    (Biomedical Technology, Faculty of Technology, Amsterdam University of Applied Sciences)

  • Meike Bartels

    (Vrije Universiteit Amsterdam
    Amsterdam Public Health Research Institute, Amsterdam University Medical Centres)

Abstract

Ever since twin-family studies found that a substantial amount (± 40%) of the variation in well-being can be explained by genetic variation, several candidate genes have been proposed explaining this variation. However, these candidate gene and candidate gene-by-environment interaction studies have been surrounded by controversy regarding the validity and replication of their results. In the present study, we review the existing candidate gene literature for well-being. First, we perform a systematic literature search that results in the inclusion of 41 studies. After describing the results of the included studies, we evaluated the included candidate polymorphisms by (1) looking up the results for the studied candidate SNPs in a large well-being genome-wide association study, (2) performing association analyses in UK biobank (UKB) data for the candidate variable number tandem repeats (VNTR) and the APOE ε4 allele, and (3) studying possible candidate interactions with positive and negative environmental moderators using UKB data. We find no support for any of the candidate genes or candidate gene-environment interactions for well-being, with the exception of two SNPs that were chosen based on genome-wide evidence. While the generalizability of our findings is limited by our phenotype and environment definitions, we strongly advise well-being researchers to abandon the candidate gene approach in the field of well-being and move toward genome-wide approaches.

Suggested Citation

  • Margot P. Weijer & Dirk H. M. Pelt & Lianne P. Vries & Bart M. L. Baselmans & Meike Bartels, 2022. "A Re-evaluation of Candidate Gene Studies for Well-Being in Light of Genome-Wide Evidence," Journal of Happiness Studies, Springer, vol. 23(6), pages 3031-3053, August.
  • Handle: RePEc:spr:jhappi:v:23:y:2022:i:6:d:10.1007_s10902-022-00538-x
    DOI: 10.1007/s10902-022-00538-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10902-022-00538-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10902-022-00538-x?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
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Maurizio Sicorello & Linda Dieckmann & Dirk Moser & Vanessa Lux & Maike Luhmann & Andreas B Neubauer & Wolff Schlotz & Robert Kumsta, 2020. "Highs and lows: Genetic susceptibility to daily events," PLOS ONE, Public Library of Science, vol. 15(8), pages 1-17, August.
    2. Jan-Emmanuel De Neve & James H. Fowler & Bruno S. Frey, 2010. "Genes, economics, and happiness," IEW - Working Papers 475, Institute for Empirical Research in Economics - University of Zurich.
    3. Masahiro Matsunaga & Takahiko Masuda & Keiko Ishii & Yohsuke Ohtsubo & Yasuki Noguchi & Misaki Ochi & Hidenori Yamasue, 2018. "Culture and cannabinoid receptor gene polymorphism interact to influence the perception of happiness," PLOS ONE, Public Library of Science, vol. 13(12), pages 1-17, December.
    4. Magnus Johannesson & David I. Laibson & Sarah E. Medland & Michelle N. Meyer & Joseph K. Pickrell & Tõnu Esko & Robert F. Krueger & Jonathan P. Beauchamp & Philipp D. Koellinger & Daniel J. Benjamin &, 2016. "Genetic variants associated with subjective well-being, depressive symptoms, and neuroticism identified through genome-wide analyses," Post-Print hal-02017373, HAL.
    5. Clare Bycroft & Colin Freeman & Desislava Petkova & Gavin Band & Lloyd T. Elliott & Kevin Sharp & Allan Motyer & Damjan Vukcevic & Olivier Delaneau & Jared O’Connell & Adrian Cortes & Samantha Welsh &, 2018. "The UK Biobank resource with deep phenotyping and genomic data," Nature, Nature, vol. 562(7726), pages 203-209, October.
    Full references (including those not matched with items on IDEAS)

    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. Cornelius A. Rietveld & Eric A.W. Slob & A. Roy Thurik, 2021. "A decade of research on the genetics of entrepreneurship: a review and view ahead," Small Business Economics, Springer, vol. 57(3), pages 1303-1317, October.
    2. Bernd Lachmann & Anna Doebler & Cornelia Sindermann & Rayna Sariyska & Andrew Cooper & Heidrun Haas & Christian Montag, 2021. "The Molecular Genetics of Life Satisfaction: Extending Findings from a Recent Genome-Wide Association Study and Examining the Role of the Serotonin Transporter," Journal of Happiness Studies, Springer, vol. 22(1), pages 305-322, January.
    3. Matteo Di Scipio & Mohammad Khan & Shihong Mao & Michael Chong & Conor Judge & Nazia Pathan & Nicolas Perrot & Walter Nelson & Ricky Lali & Shuang Di & Robert Morton & Jeremy Petch & Guillaume Paré, 2023. "A versatile, fast and unbiased method for estimation of gene-by-environment interaction effects on biobank-scale datasets," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    4. Vincent Michaud & Eulalie Lasseaux & David J. Green & Dave T. Gerrard & Claudio Plaisant & Tomas Fitzgerald & Ewan Birney & Benoît Arveiler & Graeme C. Black & Panagiotis I. Sergouniotis, 2022. "The contribution of common regulatory and protein-coding TYR variants to the genetic architecture of albinism," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    5. Natalie DeForest & Yuqi Wang & Zhiyi Zhu & Jacqueline S. Dron & Ryan Koesterer & Pradeep Natarajan & Jason Flannick & Tiffany Amariuta & Gina M. Peloso & Amit R. Majithia, 2024. "Genome-wide discovery and integrative genomic characterization of insulin resistance loci using serum triglycerides to HDL-cholesterol ratio as a proxy," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    6. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    7. Dick Schijven & Sourena Soheili-Nezhad & Simon E. Fisher & Clyde Francks, 2024. "Exome-wide analysis implicates rare protein-altering variants in human handedness," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    8. Violeta Misheva, 2016. "What Determines Emotional Well-Being? The Role of Adverse Experiences: Evidence Using Twin Data," Journal of Happiness Studies, Springer, vol. 17(5), pages 1921-1937, October.
    9. Shahram Bahrami & Kaja Nordengen & Jaroslav Rokicki & Alexey A. Shadrin & Zillur Rahman & Olav B. Smeland & Piotr P. Jaholkowski & Nadine Parker & Pravesh Parekh & Kevin S. O’Connell & Torbjørn Elvsås, 2024. "The genetic landscape of basal ganglia and implications for common brain disorders," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    10. Sylvia Hartmann & Summaira Yasmeen & Benjamin M. Jacobs & Spiros Denaxas & Munir Pirmohamed & Eric R. Gamazon & Mark J. Caulfield & Harry Hemingway & Maik Pietzner & Claudia Langenberg, 2023. "ADRA2A and IRX1 are putative risk genes for Raynaud’s phenomenon," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
    11. Menta, Giorgia & Lepinteur, Anthony & Clark, Andrew E. & Ghislandi, Simone & D'Ambrosio, Conchita, 2023. "Maternal genetic risk for depression and child human capital," Journal of Health Economics, Elsevier, vol. 87(C).
    12. Mit Shah & Marco H. A. Inácio & Chang Lu & Pierre-Raphaël Schiratti & Sean L. Zheng & Adam Clement & Antonio Marvao & Wenjia Bai & Andrew P. King & James S. Ware & Martin R. Wilkins & Johanna Mielke &, 2023. "Environmental and genetic predictors of human cardiovascular ageing," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    13. Zhaotong Lin & Wei Pan, 2024. "A robust cis-Mendelian randomization method with application to drug target discovery," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
    14. Zhening Liu & Hangkai Huang & Jiarong Xie & Yingying Xu & Chengfu Xu, 2024. "Circulating fatty acids and risk of hepatocellular carcinoma and chronic liver disease mortality in the UK Biobank," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
    15. Junqing Xie & Shuo Feng & Xintong Li & Ester Gea-Mallorquí & Albert Prats-Uribe & Dani Prieto-Alhambra, 2022. "Comparative effectiveness of the BNT162b2 and ChAdOx1 vaccines against Covid-19 in people over 50," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    16. Rongtao Jiang & Stephanie Noble & Matthew Rosenblatt & Wei Dai & Jean Ye & Shu Liu & Shile Qi & Vince D. Calhoun & Jing Sui & Dustin Scheinost, 2024. "The brain structure, inflammatory, and genetic mechanisms mediate the association between physical frailty and depression," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    17. Bruno S. Frey, 2011. "Subjective Well-Being, Politics and Political Economy," Swiss Journal of Economics and Statistics (SJES), Swiss Society of Economics and Statistics (SSES), vol. 147(IV), pages 397-415, December.
    18. Romain Fournier & Zoi Tsangalidou & David Reich & Pier Francesco Palamara, 2023. "Haplotype-based inference of recent effective population size in modern and ancient DNA samples," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    19. Nicole Deflaux & Margaret Sunitha Selvaraj & Henry Robert Condon & Kelsey Mayo & Sara Haidermota & Melissa A. Basford & Chris Lunt & Anthony A. Philippakis & Dan M. Roden & Joshua C. Denny & Anjene Mu, 2023. "Demonstrating paths for unlocking the value of cloud genomics through cross cohort analysis," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    20. George B. Busby & Scott Kulm & Alessandro Bolli & Jen Kintzle & Paolo Di Domenico & Giordano Bottà, 2023. "Ancestry-specific polygenic risk scores are risk enhancers for clinical cardiovascular disease assessments," Nature Communications, Nature, vol. 14(1), pages 1-11, December.

    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:spr:jhappi:v:23:y:2022:i:6:d:10.1007_s10902-022-00538-x. 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.springer.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.