4.7 Article

Nonconserved Long Intergenic Noncoding RNAs Associate With Complex Cardiometabolic Disease Traits

期刊

出版社

LIPPINCOTT WILLIAMS & WILKINS
DOI: 10.1161/ATVBAHA.120.315045

关键词

cardiovascular diseases; complex traits; Genome Wide Association Studies; lincRNAs; syntenic conservation

资金

  1. National Institutes of Health [R01 GM127862, R15 GM126485, R01 HL132561, R01 HL113147, K24 HL107643]

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The study reveals that nonconserved lincRNAs are associated with a range of cardiometabolic traits at a rate similar to conserved lincRNAs, persisting across different conservation definitions. Approximately one-third of genome-wide association study-associated lincRNAs are nonconserved, increasing to about two-thirds with a more stringent conservation definition. The traditional notion of conservation prioritizing functional and translational follow-up of complex cardiometabolic genomic discoveries may need to be revised in light of the abundance of nonconserved long noncoding RNAs in the human genome.
Objective: Transcriptome profiling of human tissues has revealed thousands of long intergenic noncoding RNAs (lincRNAs) at loci identified through large-scale genome-wide studies for complex cardiometabolic traits. This raises the question of whether genetic variation at nonconserved lincRNAs has any systematic association with complex disease, and if so, how different this pattern is from conserved lincRNAs. We evaluated whether the associations between nonconserved lincRNAs and 8 complex cardiometabolic traits resemble or differ from the pattern of association for conserved lincRNAs. Approach and Results: Our investigation of over 7000 lincRNA annotations from GENCODE Release 33-GRCh38.p13 for complex trait genetic associations leveraged several large, established meta-analyses genome-wide association study summary data resources, including GIANT (Genetic Investigation of Anthropometric Traits), UK Biobank, GLGC (Global Lipids Genetics Consortium), Cardiogram (Coronary Artery Disease Genome Wide Replication and Meta-Analysis), and DIAGRAM (Diabetes Genetics Replication and Meta-Analysis)/DIAMANTE (Diabetes Meta-Analysis of Trans-Ethnic Association Studies). These analyses revealed that (1) nonconserved lincRNAs associate with a range of cardiometabolic traits at a rate that is generally consistent with conserved lincRNAs; (2) these findings persist across different definitions of conservation; and (3) overall across all cardiometabolic traits, approximately one-third of genome-wide association study-associated lincRNAs are nonconserved, and this increases to about two-thirds using a more stringent definition of conservation. Conclusions: These findings suggest that the traditional notion of conservation driving prioritization for functional and translational follow-up of complex cardiometabolic genomic discoveries may need to be revised in the context of the abundance of nonconserved long noncoding RNAs in the human genome and their apparent predilection to associate with complex cardiometabolic traits.

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