Clinical Informatics and Medical Statistics Research Center, College of Medicine, Chang Gung University, Taoyüan, Taiwan.
Division of Endocrinology and Metabolism, Department of Internal Medicine, Chang Gung Memorial Hospital at Linkou, Taoyüan, Taiwan.
Sci Rep. 2022 May 16;12(1):8025. doi: 10.1038/s41598-022-12084-w.
Melatonin exerts a wide range of effects among various tissues and organs. However, there is currently no study to investigate the genetic determinants of melatonin secretion. Here, we conducted a genome-wide association study (GWAS) for melatonin secretion using morning urine 6-hydroxymelatonin sulfate-to-creatinine ratio (UMCR). We initially enrolled 5000 participants from Taiwan Biobank in this study. After excluding individuals that did not have their urine collected in the morning, those who had history of neurological or psychiatric disorder, and those who failed to pass quality control, association of single nucleotide polymorphisms with log-transformed UMCR adjusted for age, sex and principal components of ancestry were analyzed. A second model additionally adjusted for estimated glomerular filtration rate (eGFR). A total of 2373 participants underwent the genome-wide analysis. Five candidate loci associated with log UMCR (P value ranging from 6.83 × 10 to 3.44 × 10) encompassing ZFHX3, GALNT15, GALNT13, LDLRAD3 and intergenic between SEPP1 and FLJ32255 were identified. Similar results were yielded with further adjustment for eGFR. Interestingly, the identified genes are associated with circadian behavior, neuronal differentiation, motor disorders, anxiety, and neurodegenerative diseases. We conducted the first GWAS for melatonin secretion and identified five candidate genetic loci associated with melatonin level. Replication and functional studies are needed in the future.
褪黑素在各种组织和器官中发挥广泛的作用。然而,目前尚无研究调查褪黑素分泌的遗传决定因素。在这里,我们使用清晨尿液 6-羟基褪黑素硫酸盐与肌酐的比值(UMCR)进行了褪黑素分泌的全基因组关联研究(GWAS)。我们最初在这项研究中纳入了来自台湾生物银行的 5000 名参与者。在排除了没有在清晨采集尿液的个体、有神经或精神病史的个体以及未能通过质量控制的个体后,我们分析了与 log 转换后的 UMCR 相关的单核苷酸多态性,该多态性经年龄、性别和祖先主成分调整。第二个模型还额外调整了估计的肾小球滤过率(eGFR)。共有 2373 名参与者进行了全基因组分析。确定了与 log UMCR 相关的 5 个候选基因座(P 值范围为 6.83×10 至 3.44×10),包含 ZFHX3、GALNT15、GALNT13、LDLRAD3 和 SEPP1 与 FLJ32255 之间的基因间区。进一步调整 eGFR 后也得到了类似的结果。有趣的是,所确定的基因与昼夜行为、神经元分化、运动障碍、焦虑和神经退行性疾病有关。我们进行了首次褪黑素分泌的全基因组关联研究,确定了与褪黑素水平相关的五个候选遗传基因座。未来需要进行复制和功能研究。