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Melatonin Receptor Gene: Alzheimer’s Risk and Night Shift Work

Key takeaways:

  • Altered circadian rhythm from working a late shift or even just staying up late on the weekends affects your health in multiple ways.
  • Studies show that shift work or social jetlag can increase cancer risk, cause weight gain, or even increase Alzheimer’s risk.
  • Your genetic variants in melatonin receptor genes may interact with shift work to increase your risk of negative health consequences.

How does shift work affect health?

Shift work and ‘social jet lag’ are linked to an increased risk for several chronic diseases. Shift work is usually defined in studies as working a late or early shift more than two times per week, while social jet lag is the term for staying up late and then sleeping in on the weekends, in contrast to a sleep schedule that is hours earlier during the work week.

Let me throw a few quick studies at you about the impact of shift work/social jet lag:

  • Solid research links shift work to an increased risk of cancer, specifically breast and prostate cancer[ref][ref][ref]
  • Shift work increases the risk of being overweight[ref][ref][ref]
  • It also increases the risk that your children will be overweight[ref]
  • Shift workers are at an increased risk for diabetes[ref][ref]
  • It also increases the risk of Alzheimer’s and dementia[ref]

You may be thinking…I work the night shift and am just fine with it!

Like most things, it turns out that genetics plays a role in how much shift work impacts you.

Variants in the melatonin receptor gene:

While some people may get along well with shift work, others may experience more difficulties with it. A new study found one genetic variant that may shed some light on the topic (pun intended :-).

Ill-effects from shiftwork:
Scientists recently found that a melatonin receptor variant (MTNR1A gene) was associated with an increased likelihood of fatigue and other ill effects when working the night shift. The study looked at several different groups of night shift workers, including flight attendants, pilots, and nurses. It found that those who carried the MTNR1A variant and worked the night shift more were more likely to have higher fatigue scores. A control group that didn’t work the night shift had no effect from the MTNR1A variant. The researchers believe this variant causes fewer melatonin receptors in the brain.[ref]

Long-term effects:
A 2026 study involving more than 14,000 people showed that the negative effects of shift work persist even after retirement. Moreover, workers who had the MTNR1A variant (in the genotype report below) had a significantly exacerbated effect from past shift work.[ref]

Is Alzheimer’s disease linked to melatonin?

This same variant is also linked to an increased risk of Alzheimer’s disease. In a cohort of those aged 85 and older, it was found that those with the rs12506228 A-allele were at about double the risk of Alzheimer’s.[ref]

Related Article: Alzheimer’s and APOE genotype


MTNR1A Genotype Report:

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Lifehacks

How to increase melatonin at night:

Blocking blue light at night:
Light at night is listed by the World Health Organization as a probable carcinogen, and even dim light at night is tied to various diseases.

Blue-light blocking glasses are a great option for increasing your natural melatonin at night. Blocking out the blue wavelengths for a couple of hours before bed has been shown in several studies to increase melatonin levels within a week.

Blackout curtains are wonderful for blocking out dim light from streetlights and neighborhood light pollution. Also, be sure to eliminate any sources of light (led indicator lights, night lights, etc.) in your bedroom so that you can sleep in the dark.

Related Article: Color TV has made us fat: melatonin, genetics, and light at night

Melatonin supplements?
Researchers have been looking at the connection between melatonin and Alzheimer’s with animal studies and trials of melatonin for preventing Alzheimer’s. The research is exciting and something to keep an eye on.

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Related Articles and Topics:

Genetic Mutations that Protect Against Alzheimer’s Disease

 

References:

Hansen, Anne B., et al. “Night Shift Work and Incidence of Diabetes in the Danish Nurse Cohort.” Occupational and Environmental Medicine, vol. 73, no. 4, Apr. 2016, pp. 262–68. PubMed, https://doi.org/10.1136/oemed-2015-103342.
Hansen, Johnni, and Christina F. Lassen. “Nested Case-Control Study of Night Shift Work and Breast Cancer Risk among Women in the Danish Military.” Occupational and Environmental Medicine, vol. 69, no. 8, Aug. 2012, pp. 551–56. PubMed, https://doi.org/10.1136/oemed-2011-100240.
Jørgensen, Jeanette Therming, et al. “Shift Work and Overall and Cause-Specific Mortality in the Danish Nurse Cohort.” Scandinavian Journal of Work, Environment & Health, vol. 43, no. 2, Mar. 2017, pp. 117–26. PubMed, https://doi.org/10.5271/sjweh.3612.
Kim, Min-Ju, et al. “Association between Shift Work and Obesity among Female Nurses: Korean Nurses’ Survey.” BMC Public Health, vol. 13, Dec. 2013, p. 1204. PubMed, https://doi.org/10.1186/1471-2458-13-1204.
McGlynn, Natalie, et al. “Shift Work and Obesity among Canadian Women: A Cross-Sectional Study Using a Novel Exposure Assessment Tool.” PloS One, vol. 10, no. 9, 2015, p. e0137561. PubMed, https://doi.org/10.1371/journal.pone.0137561.

Mo, Tingting, et al. “Past Shift Work, Melatonin Receptor Gene Polymorphisms, and Hyperhomocysteinemia among Retired Workers: The Dongfeng-Tongji Cohort Study.” Sleep Health, vol. 12, no. 1, Feb. 2026, pp. 128–36. DOI.org (Crossref), https://doi.org/10.1016/j.sleh.2025.09.008.

Pan, An, et al. “Rotating Night Shift Work and Risk of Type 2 Diabetes: Two Prospective Cohort Studies in Women.” PLoS Medicine, vol. 8, no. 12, Dec. 2011, p. e1001141. PubMed, https://doi.org/10.1371/journal.pmed.1001141.
Papantoniou, Kyriaki, et al. “Night Shift Work, Chronotype and Prostate Cancer Risk in the MCC-Spain Case-Control Study.” International Journal of Cancer, vol. 137, no. 5, Sept. 2015, pp. 1147–57. PubMed, https://doi.org/10.1002/ijc.29400.
Strohmaier, Susanne, et al. “Night Shift Work Before and During Pregnancy and Offspring Weight Outcomes Through Adolescence.” Obesity (Silver Spring, Md.), vol. 26, no. 9, Sept. 2018, pp. 1491–500. PubMed, https://doi.org/10.1002/oby.22267.
Sulkava, Sonja, Hanna M. Ollila, et al. “Common Genetic Variation Near Melatonin Receptor 1A Gene Linked to Job-Related Exhaustion in Shift Workers.” Sleep, vol. 40, no. 1, Feb. 2017, p. zsw011. PubMed Central, https://doi.org/10.1093/sleep/zsw011.
—. “Common Genetic Variation Near Melatonin Receptor 1A Gene Linked to Job-Related Exhaustion in Shift Workers.” Sleep, vol. 40, no. 1, Feb. 2017, p. zsw011. PubMed Central, https://doi.org/10.1093/sleep/zsw011.
Sulkava, Sonja, Pranuthi Muggalla, et al. “Melatonin Receptor Type 1A Gene Linked to Alzheimer’s Disease in Old Age.” Sleep, vol. 41, no. 7, July 2018, p. zsy103. PubMed Central, https://doi.org/10.1093/sleep/zsy103.
—. “Melatonin Receptor Type 1A Gene Linked to Alzheimer’s Disease in Old Age.” Sleep, vol. 41, no. 7, July 2018, p. zsy103. PubMed Central, https://doi.org/10.1093/sleep/zsy103.
Sun, Miaomiao, et al. “Night Shift Work Exposure Profile and Obesity: Baseline Results from a Chinese Night Shift Worker Cohort.” PloS One, vol. 13, no. 5, 2018, p. e0196989. PubMed, https://doi.org/10.1371/journal.pone.0196989.
Wang, Pan, et al. “Night-Shift Work, Sleep Duration, Daytime Napping, and Breast Cancer Risk.” Sleep Medicine, vol. 16, no. 4, Apr. 2015, pp. 462–68. PubMed, https://doi.org/10.1016/j.sleep.2014.11.017.


About the Author:
Debbie Moon is a biologist, engineer, author, and the founder of Genetic Lifehacks where she has helped thousands of members understand how to apply genetics to their diet, lifestyle, and health decisions. With more than 10 years of experience translating complex genetic research into practical health strategies, Debbie holds a BS in engineering from Colorado School of Mines and an MSc in biological sciences from Clemson University. She combines an engineering mindset with a biological systems approach to explain how genetic differences impact your optimal health.