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Age-related differences of genetic susceptibility to patients with acute lymphoblastic leukemia.

Qing Hao | Minyuan Cao | Chunlan Zhang | Dandan Yin | Yuelan Wang | Yuanxin Ye | Shan Zhao | Yunfan Yang | Ke-Ling Chen | Binwu Ying | Lanlan Wang | Yiguan Zhang | Caigang Xu | Yiping Zhu | Yu Wu | Ju Gao | Jun-Ning Zhao | Yan Zhang | Xiaoxi Lu
Aging | 2021

Inherited predispositions to acute lymphoblastic leukemia have been well investigated in pediatric patients, but studies on adults, particularly Chinese patients, are limited. In this study, we conducted a genome-wide association study in 466 all-age Chinese patients with Acute lymphoblastic leukemia (ALL) and 1,466 non-ALL controls to estimate the impact of age on ALL susceptibility in the Chinese population. Among the 17 reported loci, 8 have been validated in pediatric and 1 in adult patients. The strongest association signal was identified at ARID5B locus and gradually decreased with age, while the signal at GATA3 exhibited the opposite trend and significantly impact on adult patients. With genome-wide approaches, germline variants at 2q14.3 rank as the top inherited predisposition to adult patients (e.g., rs73956024, P = 4.3 × 10-5) and separate the genetic risk of pediatric vs. adult patients (P = 3.6 × 10-6), whereas variants at 15q25.3 (e.g., rs11638062) have a similar impact on patients in different age groups (overall P = 2.9 × 10-7). Our analysis highlights the impact of age on genetic susceptibility to ALL in Chinese patients.

Pubmed ID: 33891562

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PLINK (tool)

RRID:SCR_001757

Open source whole genome association analysis toolset, designed to perform range of basic, large scale analyses in computationally efficient manner. Used for analysis of genotype/phenotype data. Through integration with gPLINK and Haploview, there is some support for subsequent visualization, annotation and storage of results. PLINK 1.9 is improved and second generation of the software.

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