Toward a Molecular Approach to Chronotype Assessment

Author:

Biscontin Alberto1,Zarantonello Lisa1,Russo Antonella2,Costa Rodolfo345ORCID,Montagnese Sara1ORCID

Affiliation:

1. Department of Medicine, University of Padova, Padova, Italy

2. Department of Molecular Medicine, University of Padova, Padova, Italy

3. Department of Biology, University of Padova, Padova, Italy

4. Institute of Neuroscience, National Research Council, Padova, Italy

5. Chronobiology Section, Faculty of Health and Medical Sciences, University of Surrey, Guildford, UK

Abstract

The aim of the present study was to develop a Polygenic Score–based model for molecular chronotype assessment. Questionnaire-based phenotypical chronotype assessment was used as a reference. In total, 54 extremely morning/morning (MM/M; 35 females, 39.7 ± 3.8 years) and 44 extremely evening/evening (EE/E; 20 females, 27.3 ± 7.7 years) individuals donated a buccal DNA sample for genotyping by sequencing of the entire genetic variability of 19 target genes known to be involved in circadian rhythmicity and/or sleep duration. Targeted genotyping was performed using the single primer enrichment technology and a specifically designed panel of 5526 primers. Among 2868 high-quality polymorphisms, a cross-validation approach lead to the identification of 83 chronotype predictive variants, including previously known and also novel chronotype-associated polymorphisms. A large (35 single-nucleotide polymorphisms [SNPs]) and also a small (13 SNPs) panel were obtained, both with an estimated predictive validity of approximately 80%. Potential mechanistic hypotheses for the role of some of the newly identified variants in modulating chronotype are formulated. Once validated in independent populations encompassing the whole range of chronotypes, the identified panels might become useful within the setting of both circadian public health initiatives and precision medicine.

Funder

Università degli Studi di Padova

Publisher

SAGE Publications

Subject

Physiology (medical),Physiology

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