IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-38480-y.html
   My bibliography  Save this article

The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism

Author

Listed:
  • Charley Xia

    (University of Edinburgh
    University of Edinburgh)

  • Sarah J. Pickett

    (Newcastle University)

  • David C. M. Liewald

    (University of Edinburgh
    University of Edinburgh)

  • Alexander Weiss

    (University of Edinburgh)

  • Gavin Hudson

    (Newcastle University)

  • W. David Hill

    (University of Edinburgh
    University of Edinburgh)

Abstract

Neuroticism is a heritable trait composed of separate facets, each conferring different levels of protection or risk, to health. By examining mitochondrial DNA in 269,506 individuals, we show mitochondrial haplogroups explain 0.07-0.01% of variance in neuroticism and identify five haplogroup and 15 mitochondria-marker associations across a general factor of neuroticism, and two special factors of anxiety/tension, and worry/vulnerability with effect sizes of the same magnitude as autosomal variants. Within-haplogroup genome-wide association studies identified H-haplogroup-specific autosomal effects explaining 1.4% variance of worry/vulnerability. These H-haplogroup-specific autosomal effects show a pleiotropic relationship with cognitive, physical and mental health that differs from that found when assessing autosomal effects across haplogroups. We identify interactions between chromosome 9 regions and mitochondrial haplogroups at P

Suggested Citation

  • Charley Xia & Sarah J. Pickett & David C. M. Liewald & Alexander Weiss & Gavin Hudson & W. David Hill, 2023. "The contributions of mitochondrial and nuclear mitochondrial genetic variation to neuroticism," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-38480-y
    DOI: 10.1038/s41467-023-38480-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-38480-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-023-38480-y?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. 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.
    2. Christiaan A de Leeuw & Joris M Mooij & Tom Heskes & Danielle Posthuma, 2015. "MAGMA: Generalized Gene-Set Analysis of GWAS Data," PLOS Computational Biology, Public Library of Science, vol. 11(4), pages 1-19, April.
    3. 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.
    4. 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.
    5. Zhihong Zhu & Zhili Zheng & Futao Zhang & Yang Wu & Maciej Trzaskowski & Robert Maier & Matthew R. Robinson & John J. McGrath & Peter M. Visscher & Naomi R. Wray & Jian Yang, 2018. "Causal associations between risk factors and common diseases inferred from GWAS summary data," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    6. Robert Jennrich & Peter Bentler, 2011. "Exploratory Bi-Factor Analysis," Psychometrika, Springer;The Psychometric Society, vol. 76(4), pages 537-549, October.
    7. Wiernik, Brenton M. & Wilmot, Michael P. & Kostal, Jack W., 2015. "How Data Analysis Can Dominate Interpretations of Dominant General Factors," Industrial and Organizational Psychology, Cambridge University Press, vol. 8(3), pages 438-445, September.
    8. Robert Jennrich & Peter Bentler, 2012. "Exploratory Bi-factor Analysis: The Oblique Case," Psychometrika, Springer;The Psychometric Society, vol. 77(3), pages 442-454, July.
    9. Vassily Trubetskoy & Antonio F. Pardiñas & Ting Qi & Georgia Panagiotaropoulou & Swapnil Awasthi & Tim B. Bigdeli & Julien Bryois & Chia-Yen Chen & Charlotte A. Dennison & Lynsey S. Hall & Max Lam & K, 2022. "Mapping genomic loci implicates genes and synaptic biology in schizophrenia," Nature, Nature, vol. 604(7906), pages 502-508, April.
    10. Robin Andersson & Claudia Gebhard & Irene Miguel-Escalada & Ilka Hoof & Jette Bornholdt & Mette Boyd & Yun Chen & Xiaobei Zhao & Christian Schmidl & Takahiro Suzuki & Evgenia Ntini & Erik Arner & Eivi, 2014. "An atlas of active enhancers across human cell types and tissues," Nature, Nature, vol. 507(7493), pages 455-461, March.
    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. Sophie A. Riesmeijer & Zoha Kamali & Michael Ng & Dmitriy Drichel & Bram Piersma & Kerstin Becker & Thomas B. Layton & Jagdeep Nanchahal & Michael Nothnagel & Ahmad Vaez & Hans Christian Hennies & Pau, 2024. "A genome-wide association meta-analysis implicates Hedgehog and Notch signaling in Dupuytren’s disease," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    2. Gianmarco Mignogna & Caitlin E. Carey & Robbee Wedow & Nikolas Baya & Mattia Cordioli & Nicola Pirastu & Rino Bellocco & Kathryn Fiuza Malerbi & Michel G. Nivard & Benjamin M. Neale & Raymond K. Walte, 2023. "Patterns of item nonresponse behaviour to survey questionnaires are systematic and associated with genetic loci," Nature Human Behaviour, Nature, vol. 7(8), pages 1371-1387, August.
    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. 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.
    5. Ruoyu Tian & Tian Ge & Hyeokmoon Kweon & Daniel B. Rocha & Max Lam & Jimmy Z. Liu & Kritika Singh & Daniel F. Levey & Joel Gelernter & Murray B. Stein & Ellen A. Tsai & Hailiang Huang & Christopher F., 2024. "Whole-exome sequencing in UK Biobank reveals rare genetic architecture for depression," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    6. Xiaofeng Zhu & Yihe Yang & Noah Lorincz-Comi & Gen Li & Amy R. Bentley & Paul S. de Vries & Michael Brown & Alanna C. Morrison & Charles N. Rotimi & W. James Gauderman & Dabeeru C. Rao & Hugues Aschar, 2024. "An approach to identify gene-environment interactions and reveal new biological insight in complex traits," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    7. Jakub Kopal & Kuldeep Kumar & Kimia Shafighi & Karin Saltoun & Claudia Modenato & Clara A. Moreau & Guillaume Huguet & Martineau Jean-Louis & Charles-Olivier Martin & Zohra Saci & Nadine Younis & Elis, 2024. "Using rare genetic mutations to revisit structural brain asymmetry," Nature Communications, Nature, vol. 15(1), pages 1-19, December.
    8. Zhiqiang Sha & Dick Schijven & Amaia Carrion-Castillo & Marc Joliot & Bernard Mazoyer & Simon E. Fisher & Fabrice Crivello & Clyde Francks, 2021. "The genetic architecture of structural left–right asymmetry of the human brain," Nature Human Behaviour, Nature, vol. 5(9), pages 1226-1239, September.
    9. Richard Burns & William J. Young & Nay Aung & Luis R. Lopes & Perry M. Elliott & Petros Syrris & Roberto Barriales-Villa & Catrin Sohrabi & Steffen E. Petersen & Julia Ramírez & Alistair Young & Patri, 2024. "Genetic basis of right and left ventricular heart shape," Nature Communications, Nature, vol. 15(1), pages 1-17, December.
    10. Hung-Lin Chen & Hsiu-Yin Chiang & David Ray Chang & Chi-Fung Cheng & Charles C. N. Wang & Tzu-Pin Lu & Chien-Yueh Lee & Amrita Chattopadhyay & Yu-Ting Lin & Che-Chen Lin & Pei-Tzu Yu & Chien-Fong Huan, 2024. "Discovery and prioritization of genetic determinants of kidney function in 297,355 individuals from Taiwan and Japan," Nature Communications, Nature, vol. 15(1), pages 1-16, December.
    11. Milton Pividori & Sumei Lu & Binglan Li & Chun Su & Matthew E. Johnson & Wei-Qi Wei & Qiping Feng & Bahram Namjou & Krzysztof Kiryluk & Iftikhar J. Kullo & Yuan Luo & Blair D. Sullivan & Benjamin F. V, 2023. "Projecting genetic associations through gene expression patterns highlights disease etiology and drug mechanisms," Nature Communications, Nature, vol. 14(1), pages 1-18, December.
    12. Yu Huang & Denis Plotnikov & Huan Wang & Danli Shi & Cong Li & Xueli Zhang & Xiayin Zhang & Shulin Tang & Xianwen Shang & Yijun Hu & Honghua Yu & Hongyang Zhang & Jeremy A. Guggenheim & Mingguang He, 2024. "GWAS-by-subtraction reveals an IOP-independent component of primary open angle glaucoma," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    13. Xiao-Yu He & Bang-Sheng Wu & Liu Yang & Yu Guo & Yue-Ting Deng & Ze-Yu Li & Chen-Jie Fei & Wei-Shi Liu & Yi-Jun Ge & Jujiao Kang & Jianfeng Feng & Wei Cheng & Qiang Dong & Jin-Tai Yu, 2024. "Genetic associations of protein-coding variants in venous thromboembolism," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    14. Waheed-Ul-Rahman Ahmed & Sam Kleeman & Michael Ng & Wei Wang & Adam Auton & Regent Lee & Ashok Handa & Krina T. Zondervan & Akira Wiberg & Dominic Furniss, 2022. "Genome-wide association analysis and replication in 810,625 individuals with varicose veins," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    15. Max Lam & Chia-Yen Chen & W. David Hill & Charley Xia & Ruoyu Tian & Daniel F. Levey & Joel Gelernter & Murray B. Stein & Alexander S. Hatoum & Hailiang Huang & Anil K. Malhotra & Heiko Runz & Tian Ge, 2022. "Collective genomic segments with differential pleiotropic patterns between cognitive dimensions and psychopathology," Nature Communications, Nature, vol. 13(1), pages 1-22, December.
    16. Caibo Ning & Linyun Fan & Meng Jin & Wenji Wang & Zhiqiang Hu & Yimin Cai & Liangkai Chen & Zequn Lu & Ming Zhang & Can Chen & Yanmin Li & Fuwei Zhang & Wenzhuo Wang & Yizhuo Liu & Shuoni Chen & Yuan , 2023. "Genome-wide association analysis of left ventricular imaging-derived phenotypes identifies 72 risk loci and yields genetic insights into hypertrophic cardiomyopathy," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    17. Caitlin E. Carey & Rebecca Shafee & Robbee Wedow & Amanda Elliott & Duncan S. Palmer & John Compitello & Masahiro Kanai & Liam Abbott & Patrick Schultz & Konrad J. Karczewski & Samuel C. Bryant & Caro, 2024. "Principled distillation of UK Biobank phenotype data reveals underlying structure in human variation," Nature Human Behaviour, Nature, vol. 8(8), pages 1599-1615, August.
    18. E. P. Tissink & A. A. Shadrin & D. Meer & N. Parker & G. Hindley & D. Roelfs & O. Frei & C. C. Fan & M. Nagel & T. Nærland & M. Budisteanu & S. Djurovic & L. T. Westlye & M. P. Heuvel & D. Posthuma & , 2024. "Abundant pleiotropy across neuroimaging modalities identified through a multivariate genome-wide association study," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    19. Ralda Nehme & Olli Pietiläinen & Mykyta Artomov & Matthew Tegtmeyer & Vera Valakh & Leevi Lehtonen & Christina Bell & Tarjinder Singh & Aditi Trehan & John Sherwood & Danielle Manning & Emily Peirent , 2022. "The 22q11.2 region regulates presynaptic gene-products linked to schizophrenia," Nature Communications, Nature, vol. 13(1), pages 1-21, December.
    20. Benjamin B. Sun & Stephanie J. Loomis & Fabrizio Pizzagalli & Natalia Shatokhina & Jodie N. Painter & Christopher N. Foley & Megan E. Jensen & Donald G. McLaren & Sai Spandana Chintapalli & Alyssa H. , 2022. "Genetic map of regional sulcal morphology in the human brain from UK biobank data," Nature Communications, Nature, vol. 13(1), pages 1-13, December.

    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:14:y:2023:i:1:d:10.1038_s41467-023-38480-y. 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.