Rare copy-number variants as modulators of common disease susceptibility

被引:13
作者
Auwerx, Chiara [1 ,2 ,3 ,4 ]
Joeloo, Maarja [5 ,6 ]
Sadler, Marie C. [2 ,3 ,4 ]
Tesio, Nicolo [1 ]
Ojavee, Sven [2 ,3 ]
Clark, Charlie J. [1 ]
Magi, Reedik [6 ]
Reymond, Alexandre [1 ]
Kutalik, Zoltan [2 ,3 ,4 ]
机构
[1] Univ Lausanne, Ctr Integrat Genom, Genopode Bldg, CH-1015 Lausanne, Switzerland
[2] Univ Lausanne, Dept Computat Biol, Genopode Bldg, CH-1015 Lausanne, Switzerland
[3] Swiss Inst Bioinformat, CH-1015 Lausanne, Switzerland
[4] Univ Ctr Primary Care & Publ Hlth, CH-1005 Lausanne, Switzerland
[5] Univ Tartu, Inst Mol & Cell Biol, EE-51010 Tartu, Estonia
[6] Univ Tartu, Inst Genom, Estonian Genome Ctr, EE-51010 Tartu, Estonia
基金
瑞士国家科学基金会;
关键词
Structural variation; CNV; GWAS; Time-to-event analysis; Common diseases; Pleiotropy; 16p13.11; 16p11.2; Genomic disorders; GENERALIZED ARTERIAL CALCIFICATION; STRUCTURAL VARIATION; PSEUDOXANTHOMA ELASTICUM; 16P13.11; PREDISPOSE; ABCC6; GENE; MUTATIONS; ASSOCIATION; PHENOTYPES; 16P11.2; MICRODELETION;
D O I
10.1186/s13073-023-01265-5
中图分类号
Q3 [遗传学];
学科分类号
071007 ; 090102 ;
摘要
BackgroundCopy-number variations (CNVs) have been associated with rare and debilitating genomic disorders (GDs) but their impact on health later in life in the general population remains poorly described.MethodsAssessing four modes of CNV action, we performed genome-wide association scans (GWASs) between the copy-number of CNV-proxy probes and 60 curated ICD-10 based clinical diagnoses in 331,522 unrelated white British UK Biobank (UKBB) participants with replication in the Estonian Biobank.ResultsWe identified 73 signals involving 40 diseases, all of which indicating that CNVs increased disease risk and caused earlier onset. We estimated that 16% of these associations are indirect, acting by increasing body mass index (BMI). Signals mapped to 45 unique, non-overlapping regions, nine of which being linked to known GDs. Number and identity of genes affected by CNVs modulated their pathogenicity, with many associations being supported by colocalization with both common and rare single-nucleotide variant association signals. Dissection of association signals provided insights into the epidemiology of known gene-disease pairs (e.g., deletions in BRCA1 and LDLR increased risk for ovarian cancer and ischemic heart disease, respectively), clarified dosage mechanisms of action (e.g., both increased and decreased dosage of 17q12 impacted renal health), and identified putative causal genes (e.g., ABCC6 for kidney stones). Characterization of the pleiotropic pathological consequences of recurrent CNVs at 15q13, 16p13.11, 16p12.2, and 22q11.2 in adulthood indicated variable expressivity of these regions and the involvement of multiple genes. Finally, we show that while the total burden of rare CNVs-and especially deletions-strongly associated with disease risk, it only accounted for similar to 0.02% of the UKBB disease burden. These associations are mainly driven by CNVs at known GD CNV regions, whose pleiotropic effect on common diseases was broader than anticipated by our CNV-GWAS.ConclusionsOur results shed light on the prominent role of rare CNVs in determining common disease susceptibility within the general population and provide actionable insights for anticipating later-onset comorbidities in carriers of recurrent CNVs.
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