Hostname: page-component-6bf8c574d5-b4m5d Total loading time: 0 Render date: 2025-02-17T00:47:06.914Z Has data issue: false hasContentIssue false
  • English
  • Français

Taking a lifespan approach to polygenic scores

Published online by Cambridge University Press:  11 September 2023

Eloise W. Freitag Open the ORCID record for Eloise W. Freitag [Opens in a new window]  and
Caroline M. Kelsey Open the ORCID record for Caroline M. Kelsey [Opens in a new window]
Eloise W. Freitag
Affiliation:
Department of Molecular & Cellular Biology, Harvard University, Cambridge, MA, USA [email protected]
Caroline M. Kelsey
Affiliation:
Department of Pediatrics, Division of Developmental Medicine, Boston Children's Hospital, Brookline, MA, USA [email protected]
Get access Rights & Permissions [Opens in a new window]

Abstract

This commentary is a call to action for researchers to create and use genome-wide association studies (GWASs) with previously missed age groups (e.g., infancy, elderly), which will improve our ability to ask important developmental questions using genetic data to trace pathways across the lifespan.

Type
Open Peer Commentary
Information
Behavioral and Brain Sciences , Volume 46 , 2023 , e215
Check for updates
Copyright
Copyright © The Author(s), 2023. Published by Cambridge University Press

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Bystritsky, A., Khalsa, S. S., Cameron, M. E., & Schiffman, J. (2013). Current diagnosis and treatment of anxiety disorders. Pharmacy and Therapeutics, 38(1), 30.Google ScholarPubMed
Colombo, J., Kannass, K. N., Jill Shaddy, D., Kundurthi, S., Maikranz, J. M., Anderson, C. J., … Carlson, S. E. (2004). Maternal DHA and the development of attention in infancy and toddlerhood. Child Development, 75(4), 1254–1267.CrossRefGoogle ScholarPubMed
Couto Alves, A., De Silva, N. M. G., Karhunen, V., Sovio, U., Das, S., & Taal, H. R., … Early Growth Genetics (EGG) Consortium (2019). GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI. Science Advances, 5(9), eaaw3095.CrossRefGoogle ScholarPubMed
Dick, D. M., Barr, P. B., Cho, S. B., Cooke, M. E., Kuo, S. I. C., Lewis, T. J., … Su, J. (2018). Post-GWAS in psychiatric genetics: A developmental perspective on the “other” next steps. Genes, Brain and Behavior, 17(3), e12447.CrossRefGoogle ScholarPubMed
Faraone, S. V., & Larsson, H. (2019). Genetics of attention deficit hyperactivity disorder. Molecular Psychiatry, 24(4), 562–575.CrossRefGoogle ScholarPubMed
Harden, K. P., & Koellinger, P. D. (2020). Using genetics for social science. Nature Human Behaviour, 4(6), 567–576.CrossRefGoogle ScholarPubMed
Lenze, E. J., & Wetherell, J. L. (2022). A lifespan view of anxiety disorders. Dialogues in Clinical Neuroscience, 13, 381–399.CrossRefGoogle Scholar
Liu, L. Y., Schaub, M. A., Sirota, M., & Butte, A. J. (2012). Sex differences in disease risk from reported genome-wide association study findings. Human Genetics, 131(3), 353–364.CrossRefGoogle ScholarPubMed
Martin, E. I., Ressler, K. J., Binder, E., & Nemeroff, C. B. (2009). The neurobiology of anxiety disorders: Brain imaging, genetics, and psychoneuroendocrinology. Psychiatric Clinics, 32(3), 549–575.Google ScholarPubMed
Morgan, J. K., Shaw, D. S., & Olino, T. M. (2012). Differential susceptibility effects: The interaction of negative emotionality and sibling relationship quality on childhood internalizing problems and social skills. Journal of Abnormal Child Psychology, 40(6), 885–899.CrossRefGoogle ScholarPubMed
Pividori, M., Schoettler, N., Nicolae, D. L., Ober, C., & Im, H. K. (2019). Shared and distinct genetic risk factors for childhood-onset and adult-onset asthma: Genome-wide and transcriptome-wide studies. The Lancet Respiratory Medicine, 7(6), 509–522.CrossRefGoogle ScholarPubMed
Rovira, P., Demontis, D., Sánchez-Mora, C., Zayats, T., Klein, M., Mota, N. R., … Ribasés, M. (2020). Shared genetic background between children and adults with attention deficit/hyperactivity disorder. Neuropsychopharmacology, 45(10), 1617–1626.CrossRefGoogle ScholarPubMed
Shulman, E. D., & Elkon, R. (2021). Genetic mapping of developmental trajectories for complex traits and diseases. Computational and Structural Biotechnology Journal, 19, 3458–3469.CrossRefGoogle ScholarPubMed