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. 2022 Aug 11;81(9):1273-1280.
doi: 10.1136/annrheumdis-2022-222345.

Biological insights into systemic lupus erythematosus through an immune cell-specific transcriptome-wide association study

Xianyong Yin #  1   2   3   4   5   6 Kwangwoo Kim #  7 Hiroyuki Suetsugu #  8   9   10 So-Young Bang  11   12 Leilei Wen  1   2 Masaru Koido  9   13 Eunji Ha  7 Lu Liu  1   2 Yuma Sakamoto  8   14 Sungsin Jo  12 Rui-Xue Leng  15 Nao Otomo  8   9   16 Young-Chang Kwon  12 Yujun Sheng  1   2 Nobuhiko Sugano  17 Mi Yeong Hwang  18 Weiran Li  1   2 Masaya Mukai  19 Kyungheon Yoon  18 Minglong Cai  1   2 Kazuyoshi Ishigaki  9   20   21   22 Won Tae Chung  23 He Huang  1   2 Daisuke Takahashi  24 Shin-Seok Lee  25 Mengwei Wang  1   2 Kohei Karino  26 Seung-Cheol Shim  27 Xiaodong Zheng  1   2 Tomoya Miyamura  28 Young Mo Kang  29 Dongqing Ye  15 Junichi Nakamura  30 Chang-Hee Suh  31 Yuanjia Tang  32 Goro Motomura  10 Yong-Beom Park  33 Huihua Ding  32 Takeshi Kuroda  34 Jung-Yoon Choe  35 Chengxu Li  4 Hiroaki Niiro  36 Youngho Park  12 Changbing Shen  37   38 Takeshi Miyamoto  39 Ga-Young Ahn  11 Wenmin Fei  4 Tsutomu Takeuchi  40 Jung-Min Shin  11 Keke Li  4 Yasushi Kawaguchi  41 Yeon-Kyung Lee  11 Yong-Fei Wang  42 Koichi Amano  43 Dae Jin Park  11 Wanling Yang  42 Yoshifumi Tada  44 Yu Lung Lau  42 Ken Yamaji  45 Zhengwei Zhu  1   2 Masato Shimizu  46 Takashi Atsumi  47 Akari Suzuki  48 Takayuki Sumida  49 Yukinori Okada  50   51   52 Koichi Matsuda  53   54 Keitaro Matsuo  55   56 Yuta Kochi  57 Japanese Research Committee on Idiopathic Osteonecrosis of the Femoral HeadKazuhiko Yamamoto  48 Koichiro Ohmura  58 Tae-Hwan Kim  11   12 Sen Yang  1   2 Takuaki Yamamoto  59 Bong-Jo Kim  18 Nan Shen  32   60   61 Shiro Ikegawa  8 Hye-Soon Lee  11   12 Xuejun Zhang  1   2   62 Chikashi Terao  63   64   65 Yong Cui  66 Sang-Cheol Bae  67   12
Affiliations

Biological insights into systemic lupus erythematosus through an immune cell-specific transcriptome-wide association study

Xianyong Yin et al. Ann Rheum Dis. .

Abstract

Objective: Genome-wide association studies (GWAS) have identified >100 risk loci for systemic lupus erythematosus (SLE), but the disease genes at most loci remain unclear, hampering translation of these genetic discoveries. We aimed to prioritise genes underlying the 110 SLE loci that were identified in the latest East Asian GWAS meta-analysis.

Methods: We built gene expression predictive models in blood B cells, CD4+ and CD8+ T cells, monocytes, natural killer cells and peripheral blood cells of 105 Japanese individuals. We performed a transcriptome-wide association study (TWAS) using data from the latest genome-wide association meta-analysis of 208 370 East Asians and searched for candidate genes using TWAS and three data-driven computational approaches.

Results: TWAS identified 171 genes for SLE (p<1.0×10-5); 114 (66.7%) showed significance only in a single cell type; 127 (74.3%) were in SLE GWAS loci. TWAS identified a strong association between CD83 and SLE (p<7.7×10-8). Meta-analysis of genetic associations in the existing 208 370 East Asian and additional 1498 cases and 3330 controls found a novel single-variant association at rs72836542 (OR=1.11, p=4.5×10-9) around CD83. For the 110 SLE loci, we identified 276 gene candidates, including 104 genes at recently-identified SLE novel loci. We demonstrated in vitro that putative causal variant rs61759532 exhibited an allele-specific regulatory effect on ACAP1, and that presence of the SLE risk allele decreased ACAP1 expression.

Conclusions: Cell-level TWAS in six types of immune cells complemented SLE gene discovery and guided the identification of novel genetic associations. The gene findings shed biological insights into SLE genetic associations.

Keywords: autoimmunity; lupus erythematosus, systemic; polymorphism, genetic.

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Conflict of interest statement

Competing interests: None declared.

Figures

Figure 1
Figure 1
TWAS of East Asian meta-analysis data. (A) Distribution of significant genes across the six types of immune cells. (B) Number of significant TWAS genes per SLE locus. TWAS, transcriptome-wide association study.
Figure 2
Figure 2
Locuszoom plot for a new single-variant association at the CD83 gene. Mb, megabase.
Figure 3
Figure 3
Venn diagram of candidate disease genes at the 110 SLE loci identified using four gene discovery approaches. DEPICT, Data-driven Expression-Prioritised Integration for Complex Traits; PoPS, Polygenic Priority Score; TWAS, transcriptome-wide association study.
Figure 4
Figure 4
Allele-specific regulatory effect of rs61759532 on ACAP1. (A) Regional association plot for the ACAP1 locus. The lead variant rs61759532 is labelled as a purple diamond. Linkage disequilibrium was estimated using data from 7021 Chinese individuals. (B) Location of rs61759532 within an assay for transposase-accessible chromatin using sequencing open chromatin accessible region in CD19+ B and CD4+ T cells (green tracks) and within active ChromHMM chromatin states (bars on the bottom panel) in primary CD8+ T naive cells (CD8.NPC), T helper naive cells (CD4.NPC) and primary B cells (BLD.CD19.PPC). Chromatin states are coloured red (active transcription start site), orange red (flanking active transcription start site), or yellow (enhancers). (C) Allelic differential enhancing activity of rs61759532 in THP1 cells. None, 3×C, and 3×T denote an empty vector containing a minimal promoter, and vectors with the C and T alleles of rs61759532, respectively. Relative luciferase activities, measured in five independent biological replicates, were significantly higher for inserts with the C allele (two-tailed t-test p=8.1×10–3). Error bars indicate SEMs of five independent biological replicates. (D) Association between the risk allele (T) of rs61759532 and decreased expression of ACAP1 in GTEx v8 whole blood (p=1.7×10–47). The white line in the centre of each box indicates the median expression value, while the box for each genotype represents the IQR of ACACP1 expression. (E) Allelic differential protein-DNA binding by rs61759532 in EMSAs. Biotin-conjugated 30-nucleotide probes flanking rs61759532 (denoted as C or T, according to the allele) were incubated with nuclear extracts (10 µg) from EBV-transformed B cells or THP1 cells in EMSAs. Shifted bands (indicated by red arrows) had stronger intensities with the biotin-conjugated C allele probes than the T allele probes and were not detected in the presence of excess non-conjugated probes. EBV: Epstein-Barr Virus; EMSA, electrophoretic mobility shift assay; Mb, megabase; THP1: human leukemia monocytic cell line.

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