Fine-mapping identifies causal variants for RA and T1D in DNASE1L3, SIRPG, MEG3, TNFAIP3 and CD28/CTLA4 loci

Author:

Westra Harm-JanORCID,Bonet Marta MartinezORCID,Onengut Suna,Lee AnnetteORCID,Luo Yang,Teslovich Nick,Worthington JaneORCID,Martin Javier,Huizinga Tom,Klareskog LarsORCID,Rantapaa-Dahlqvist SolbrittORCID,Chen Wei-Min,Quinlan AaronORCID,Todd John A.ORCID,Eyre SteveORCID,Nigrovic Peter A.,Gregersen Peter K.ORCID,Rich Stephen S,Raychaudhuri SoumyaORCID

Abstract

We fine-mapped 76 rheumatoid arthritis (RA) and type 1 diabetes (T1D) loci outside of the MHC. After sequencing 799 1kb regulatory (H3K4me3) regions within these loci in 568 individuals, we observed accurate imputation for 89% of common variants. We fine-mapped1,2 these loci in RA (11,475 cases, 15,870 controls)3, T1D (9,334 cases and 11,111 controls) 4 and combined datasets. We reduced the number of potential causal variants to ≤5 in 8 RA and 11 T1D loci. We identified causal missense variants in five loci (DNASE1L3, SIRPG, PTPN22, SH2B3 and TYK2) and likely causal non-coding variants in six loci (MEG3, TNFAIP3, CD28/CTLA4, ANKRD55, IL2RA, REL/PUS10). Functional analysis confirmed allele specific binding and differential enhancer activity for three variants: the CD28/CTLA4 rs117701653 SNP, the TNFAIP3 rs35926684 indel, and the MEG3 rs34552516 indel. This study demonstrates the potential for dense genotyping and imputation to pinpoint missense and non-coding causal alleles.

Publisher

Cold Spring Harbor Laboratory

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