Unknown

Dataset Information

0

Fine-mapping and functional studies highlight potential causal variants for rheumatoid arthritis and type 1 diabetes.


ABSTRACT: To define potentially causal variants for autoimmune disease, we fine-mapped1,2 76 rheumatoid arthritis (11,475 cases, 15,870 controls)3 and type 1 diabetes loci (9,334 cases, 11,111 controls)4. After sequencing 799 1-kilobase regulatory (H3K4me3) regions within these loci in 568 individuals, we observed accurate imputation for 89% of common variants. We defined credible sets of ?5 causal variants at 5 rheumatoid arthritis and 10 type 1 diabetes loci. We identified potentially causal missense variants at DNASE1L3, PTPN22, SH2B3, and TYK2, and noncoding variants at MEG3, CD28-CTLA4, and IL2RA. We also identified potential candidate causal variants at SIRPG and TNFAIP3. Using functional assays, we confirmed allele-specific protein binding and differential enhancer activity for three variants: the CD28-CTLA4 rs117701653 SNP, MEG3 rs34552516 indel, and TNFAIP3 rs35926684 indel.

SUBMITTER: Westra HJ 

PROVIDER: S-EPMC6364548 | biostudies-literature | 2018 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications


To define potentially causal variants for autoimmune disease, we fine-mapped<sup>1,2</sup> 76 rheumatoid arthritis (11,475 cases, 15,870 controls)<sup>3</sup> and type 1 diabetes loci (9,334 cases, 11,111 controls)<sup>4</sup>. After sequencing 799 1-kilobase regulatory (H3K4me3) regions within these loci in 568 individuals, we observed accurate imputation for 89% of common variants. We defined credible sets of ≤5 causal variants at 5 rheumatoid arthritis and 10 type 1 diabetes loci. We identifi  ...[more]

Similar Datasets

2018-07-03 | GSE116497 | GEO
| PRJNA478845 | ENA
| S-EPMC8491908 | biostudies-literature
| S-EPMC4214605 | biostudies-literature
| S-EPMC5762310 | biostudies-literature
| S-EPMC3114196 | biostudies-literature
| S-EPMC5062576 | biostudies-literature
| S-EPMC4336207 | biostudies-literature
| S-EPMC1779440 | biostudies-literature
| S-EPMC6712985 | biostudies-literature