Marshfield Clinic Research Institute, Center for Precision Medicine Research, Marshfield, WI, USA.
Department of Biomedical Informatics, Vanderbilt University Medical Center, Nashville, TN, USA.
HGG Adv. 2023 Apr 27;4(3):100201. doi: 10.1016/j.xhgg.2023.100201. eCollection 2023 Jul 13.
Many epidemiologic studies have identified important relationships between leukocyte telomere length (LTL) with genetics and health. Most of these studies have been significantly limited in scope by focusing predominantly on individual diseases or restricted to GWAS analysis. Using two large patient populations derived from Vanderbilt University and Marshfield Clinic biobanks linked to genomic and phenomic data from medical records, we investigated the inter-relationship between LTL, genomics, and human health. Our GWAS confirmed 11 genetic loci previously associated with LTL and two novel loci in and . PheWAS of LTL identified 67 distinct clinical phenotypes associated with both short and long LTL. We demonstrated that several diseases associated with LTL were related to one another but were largely independent from LTL genetics. Age of death was correlated with LTL independent of age. Those with very short LTL (<-1.5 standard deviation [SD]) died 10.4 years (p < 0.0001) younger than those with average LTL (±0.5 SD; mean age of death = 74.2 years). Likewise, those with very long LTL (>1.5 SD) died 1.9 years (p = 0.0175) younger than those with average LTL. This is consistent with the PheWAS results showing diseases associating with both short and long LTL. Finally, we estimated that the genome (12.8%) and age (8.5%) explain the largest proportion of LTL variance, whereas the phenome (1.5%) and sex (0.9%) explained a smaller fraction. In total, 23.7% of LTL variance was explained. These observations provide the rationale for expanded research to understand the multifaceted correlations between TL biology and human health over time, leading to effective LTL usage in medical applications.
许多流行病学研究已经确定了白细胞端粒长度 (LTL) 与遗传学和健康之间的重要关系。这些研究大多数在范围上受到严重限制,主要集中在个别疾病上,或者仅限于 GWAS 分析。我们使用来自范德比尔特大学和马什菲尔德诊所生物库的两个大型患者群体,这些生物库与来自医疗记录的基因组和表型数据相关联,研究了 LTL、基因组学和人类健康之间的相互关系。我们的 GWAS 证实了 11 个先前与 LTL 相关的遗传位点,以及 和 中的两个新位点。LTL 的 pheWAS 确定了 67 个与短和长 LTL 相关的不同临床表型。我们表明,与 LTL 相关的几种疾病彼此相关,但在很大程度上与 LTL 遗传无关。死亡年龄与 LTL 独立于年龄相关。那些端粒非常短的人(< -1.5 个标准差 [SD])比那些平均端粒(±0.5 SD;平均死亡年龄为 74.2 岁)的人早死 10.4 年(p < 0.0001)。同样,那些端粒非常长的人(>1.5 SD)比那些平均端粒的人早死 1.9 年(p = 0.0175)。这与 pheWAS 的结果一致,表明与短和长 LTL 相关的疾病。最后,我们估计基因组(12.8%)和年龄(8.5%)解释了 LTL 变异的最大比例,而表型(1.5%)和性别(0.9%)解释了较小的比例。总的来说,LTL 变异的 23.7%可以解释。这些观察结果为扩大研究提供了依据,以了解 TL 生物学与人类健康随时间的多方面相关性,并在医学应用中有效使用 LTL。