PO.BCS01.15 · 生物信息与计算

利用纵向全基因组测序研究克隆性造血动态

Longitudinal whole genome sequencing to investigate clonal hematopoiesis dynamics

海报缩略图:利用纵向全基因组测序研究克隆性造血动态
编号 1511 展板 18 时间 4/20 09:00–12:00 区域 Section 6 主讲 Rohini Chebbi, MS
分会场 Sequence Analysis
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作者与单位 Authors & Affiliations

Rohini Chebbi, Steven Estus, Elif P. Coskun, David W. Fardo, Gregory A. Jicha, Peter T. Nelson, Erin L. Abner, Yasminka A. Jakubek

University of Kentucky, Lexington, KY

摘要 Abstract

中文摘要
克隆性造血(CH)是指造血干细胞克隆群体的存在,当某个细胞获得体细胞突变并随后发生克隆扩增时便会产生。CH的存在与年龄密切相关。意义未明的克隆性造血(CHIP)突变的定义是携带一个在血液癌症中常见改变的基因中的突变。CHIP与血液癌症和心血管疾病等疾病风险的增加相关。除CHIP突变外,其他体细胞突变也可驱动CH。为全面表征CH动态,我们对一个基于社区的脑老化队列的血液样本进行了全基因组测序(WGS),对在多个时间点采集的多个样本进行测序。肯塔基大学(UK)阿尔茨海默病研究中心临床队列由约800名参与者组成,为持续补充并接受纵向随访的群体。我们依据以下标准选取了12名参与者进行试点研究:每位个体有3次采血,且两次采血之间至少间隔2年。这些样本的WGS在UK基因组学核心实验室完成。所有参与者首次采血时的年龄 ≤ 89岁(中位年龄:80.5,范围:66-89),末次采血时的年龄 ≤ 95岁(中位年龄:87,范围:80-95)。首次与末次采血之间的间隔年数为6至12年。75%的参与者为女性,25%为男性。平均覆盖度为54.4X。比对和变异检出使用Illumina DRAGEN Somatic流程进行。流程后过滤步骤包括过滤掉低复杂度区域和黑名单区域中的变异,以及去除推定的种系变异。采用严格的质控指标,12名个体中有3名(25%)在74个经典CHIP基因之一中存在CHIP。在这些参与者中,2名存在DNMT3A CHIP。一名参与者在87岁(末次采血)时存在DNMT3A CHIP,但在80岁或83岁时没有。对于另一名存在DNMT3A CHIP的参与者,该突变在68岁、77岁和80岁的全部3次采血中均存在,突变等位基因分数(MAF)介于10-16%之间。一名参与者在90岁(MAF 10%)和95岁(MAF 15%)时检出TET2 CHIP,但在84岁时未检出。我们的观察结果支持既往研究,即CHIP在晚年常见。这项试点研究提供了一个机会,可对晚年克隆动态进行更深入的研究,并将研究扩展至非经典CH驱动突变和嵌合染色体改变。我们正在把握这一机会,并利用纵向研究设计开发区分种系变异和体细胞变异的新方法,以改进CHIP突变的检出方法。
查看英文原文 English abstract
Clonal hematopoiesis (CH) is the presence of clonal populations of hematopoietic stem cells, which arise when a cell acquires a somatic mutation and then undergoes clonal expansion. The presence of CH is strongly associated with age. Clonal hematopoiesis of indeterminate potential (CHIP) mutations is defined by having a mutation in a gene commonly altered in blood cancers. CHIP is associated with increased risk of illnesses such as blood cancer and cardiovascular diseases. In addition to CHIP mutations, other somatic mutations can drive CH. To comprehensively characterize CH dynamics, we conducted whole genome sequencing (WGS) of blood samples from a community-based brain aging cohort, sequencing multiple samples that were collected across multiple time points. The University of Kentucky (UK) Alzheimer's Disease Research Center clinical cohort comprises a continuously replenished group of approximately 800 participants followed longitudinally. We selected 12 participants for a pilot study using the following criteria: each individual had 3 blood draws, and a minimum of 2 years between draws. WGS for these samples was performed at the Genomics Core Laboratory at UK. For all participants the age at first blood draw ≤ 89 years (median age: 80.5, range: 66-89), age at last blood draw ≤ 95 (median age: 87, range: 80 - 95). The time in years between first and last blood draw ranged from 6 to 12 years. 75% of participants were female and 25% were male. The mean average coverage was 54.4X. Alignment and variant calling were performed using the Illumina DRAGEN Somatic pipeline. Post pipeline filtering steps include filtering out variants in low complexity and blacklisted regions and removal of putative germline variants. Using stringent quality control metrics, 3/12 (25%) individuals had CHIP in one of the 74 canonical CHIP genes. Of these participants, 2 had DNMT3A CHIP. One participant had DNMT3A CHIP at age 87 (last blood draw), but not at age 80 or 83. For the other participant with DNMT3A CHIP, the mutation was present in all 3 blood draws from age 68, 77, and 80 years and with mutant allele fraction (MAF) ranging between 10-16%. TET2 CHIP was detected in one participant at age 90 (MAF 10%) and 95 (MAF 15%), but not at age 84. Our observations support previous studies showing that CHIP is common in later life. This pilot study provides an opportunity to conduct more in-depth investigations of clonal dynamics in later life and expand these investigations to non-canonical CH driver mutations and mosaic chromosomal alterations. We are pursuing this opportunity and leveraging the longitudinal study design to develop novel approaches for distinguishing germline and somatic variants to improve methods for CHIP mutation calling.
利益披露 Disclosure
R. Chebbi, None.. S. Estus, None.. E. P. Coskun, None.. D. W. Fardo, None.. G. A. Jicha, None.. P. T. Nelson, None.. E. L. Abner, None.. Y. A. Jakubek, None.

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