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Heart rate phase is an indicator of chronotype-relevant circadian shifts associated with human disease: an All of Us Research Program analysis – Dongju Lim

October 23 @ 4:00 pm - 5:00 pm KST

https://www.ibs.re.kr, 55 Expo-ro Yuseong-gu
Daejeon, Daejeon 34126 Korea, Republic of
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Speaker

Dongju Lim
KAIST

In this talk, we discuss the paper “Heart rate phase is an indicator of chronotype-relevant circadian shifts associated with human disease: an All of Us Research Program analysis” by Zachary M Chen et al., The Journal of Physiology, 2026.

Abstract:

Chronotype describes an individual’s day or night preference and is thought to exert health effects through circadian timing, yet continuous circadian measures related to chronotype have never been examined in large human cohorts. We sought to quantify wearable-derived heart rate phase (HRP) as an indicator of chronotype-relevant circadian shifts and determine its associations with human disease. Heart rate was aggregated over 5 min intervals in All of Us participants with wearable data and fit to a sine curve with 24 h period to determine HRP. Associations between HRP and circadian genomic variants were determined by linear regression. A phenome-wide association study (PheWAS) was performed by multiple logistic regression. One-sample Mendelian randomization (MR) was performed by two-stage residual inclusion. Average HRP was 9.48 ± 1.57 h (n = 15,960). PheWAS identified phenome-wide associations of later HRP with addiction, mood, sleep and metabolic disorders, while certain conditions of pregnancy were associated with earlier HRP. In focused analyses of type 2 diabetes mellitus (T2DM), later HRP was associated with increased T2DM risk [odds ratio (OR) 1.09 [1.06,1.13], P = 1.58 × 10−7). The morningness genomic variant rs1144566(T) was associated with earlier HRP (P = 1.38 × 10−7) and decreased risk of T2DM (OR 0.69 [0.55,0.88], P = 2.67 × 10−3). MR analysis suggested a causal effect of rs1144566 on T2DM risk through HRP (P = 2.70 × 10−3). We introduce the use of a quantitative longitudinal circadian metric, HRP. We combine HRP with phenomics, genomics and electronic health records data to provide evidence for a relationship between circadian shifts and disease. HRP may hold value in the management and surveillance of human health.

Details

  • Date: October 23
  • Time:
    4:00 pm - 5:00 pm KST
  • Event Category:

Organizer

  • Jae Kyoung Kim
  • Email jaekkim@kaist.ac.kr

Venue

IBS 의생명수학그룹 Biomedical Mathematics Group
기초과학연구원 수리및계산과학연구단 의생명수학그룹
대전 유성구 엑스포로 55 (우) 34126
IBS Biomedical Mathematics Group (BIMAG)
Institute for Basic Science (IBS)
55 Expo-ro Yuseong-gu Daejeon 34126 South Korea
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