Global analysis of A-to-I RNA editing reveals association with common disease variants
Oscar Franzén,
Raili Ermel,
Katyayani Sukhavasi,
Rajeev Jain,
Anamika Jain,
Christer Betsholtz,
Chiara Giannarelli,
Jason C. Kovacic,
Arno Ruusalepp,
Josefin Skogsberg,
Ke Hao,
Eric E. Schadt,
Johan L.M. Björkegren
Affiliations
Oscar Franzén
Integrated Cardio Metabolic Centre, Karolinska Institutet, Huddinge, Sweden
Raili Ermel
Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
Katyayani Sukhavasi
Department of Pathophysiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
Rajeev Jain
Department of Pathophysiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
Anamika Jain
Department of Pathophysiology, Institute of Biomedicine and Translational Medicine, University of Tartu, Tartu, Estonia
Christer Betsholtz
Integrated Cardio Metabolic Centre, Karolinska Institutet, Huddinge, Sweden
Chiara Giannarelli
Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
Jason C. Kovacic
Cardiovascular Research Center, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
Arno Ruusalepp
Department of Cardiac Surgery, Tartu University Hospital, Tartu, Estonia
Josefin Skogsberg
Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Solna, Sweden
Ke Hao
Institute of Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
Eric E. Schadt
Institute of Genomics and Multiscale Biology, Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States of America
Johan L.M. Björkegren
Integrated Cardio Metabolic Centre, Karolinska Institutet, Huddinge, Sweden
RNA editing modifies transcripts and may alter their regulation or function. In humans, the most common modification is adenosine to inosine (A-to-I). We examined the global characteristics of RNA editing in 4,301 human tissue samples. More than 1.6 million A-to-I edits were identified in 62% of all protein-coding transcripts. mRNA recoding was extremely rare; only 11 novel recoding sites were uncovered. Thirty single nucleotide polymorphisms from genome-wide association studies were associated with RNA editing; one that influences type 2 diabetes (rs2028299) was associated with editing in ARPIN. Twenty-five genes, including LRP11 and PLIN5, had editing sites that were associated with plasma lipid levels. Our findings provide new insights into the genetic regulation of RNA editing and establish a rich catalogue for further exploration of this process.