Nature CommunicationsGeneticsPeer-reviewed journal article
Cohort-wide deep whole genome sequencing and the allelic architecture of complex traits
Arthur GillyiD, Dániel SüvegesiD, Karoline B. KuchenbaeckeriD, Martin PollardiD, Lorraine SouthamiD, Konstantinos HatzikotoulasiD, Aliki‐Eleni FarmakiiD, Thea BjørnlandiD, Ryan K. WaplesiD, Emil V. R. AppeliD, Elisabetta CasaloneiD, Giorgio E. M. MelloniiD, Britt KilianiD, Nigel William RayneriD, Ιωάννα ΝτάλλαiD, Kousik KunduiD, Klaudia WalteriD, John DaneshiD, Adam S. ButterworthiD, Inês BarrosoiD, Emmanouil Tsafantakis, George V. DedoussisiD, Ida MoltkeiD, Eleftheria ZegginiiD
Abstract
The role of rare variants in complex traits remains uncharted. Here, we conduct deep whole genome sequencing of 1,457 individuals from an isolated population, and test for rare variant burdens across six cardiometabolic traits. We identify a role for rare regulatory variation, which has hitherto been missed. We find evidence of rare variant burdens overlapping with, and mostly independent of established common variant signals (ADIPOQ and adiponectin, P=4.2x10-8; APOC3 and triglyceride levels, P=1.58x10-26; GGT1 and gamma-glutamyltransferase, P=2.3x10-6; UGT1A9 and bilirubin, P=1.9x10-8), and identify replicating evidence for a burden associated with triglyceride levels in FAM189A (P=2.26x10-8), indicating a role for this gene in lipid metabolism.
- organism: human
- assay: whole-genome sequencing
- research focus: variant effect prediction
- approach: statistical model
- Citations
- 29
- FWCI
- 2.15
- Field percentile
- top 12%
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