Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA.
Integrative Biology Laboratory, Salk Institute for Biological Studies, La Jolla, CA, USA; Biomedical Sciences Graduate Program, University of California San Diego, La Jolla, CA, USA.
Am J Hum Genet. 2023 Apr 6;110(4):703-714. doi: 10.1016/j.ajhg.2023.03.008. Epub 2023 Mar 28.
GATA3 is essential for T cell differentiation and is surrounded by genome-wide association study (GWAS) hits for immune traits. Interpretation of these GWAS hits is challenging because gene expression quantitative trait locus (eQTL) studies lack power to detect variants with small effects on gene expression in specific cell types and the genome region containing GATA3 contains dozens of potential regulatory sequences. To map regulatory sequences for GATA3, we performed a high-throughput tiling deletion screen of a 2 Mb genome region in Jurkat T cells. This revealed 23 candidate regulatory sequences, all but one of which is within the same topological-associating domain (TAD) as GATA3. We then performed a lower-throughput deletion screen to precisely map regulatory sequences in primary T helper 2 (Th2) cells. We tested 25 sequences with ∼100 bp deletions and validated five of the strongest hits with independent deletion experiments. Additionally, we fine-mapped GWAS hits for allergic diseases in a distal regulatory element, 1 Mb downstream of GATA3, and identified 14 candidate causal variants. Small deletions spanning the candidate variant rs725861 decreased GATA3 levels in Th2 cells, and luciferase reporter assays showed regulatory differences between its two alleles, suggesting a causal mechanism for this variant in allergic diseases. Our study demonstrates the power of integrating GWAS signals with deletion mapping and identifies critical regulatory sequences for GATA3.
GATA3 对于 T 细胞分化至关重要,并且其周围存在与免疫特征相关的全基因组关联研究 (GWAS) 热点。这些 GWAS 热点的解释具有挑战性,因为基因表达数量性状基因座 (eQTL) 研究缺乏检测特定细胞类型中对基因表达有微小影响的变体的能力,并且包含 GATA3 的基因组区域包含数十个潜在的调控序列。为了绘制 GATA3 的调控序列,我们在 Jurkat T 细胞中进行了高通量平铺缺失筛选,覆盖了 2 Mb 的基因组区域。这揭示了 23 个候选调控序列,除一个外,其余均与 GATA3 位于同一拓扑关联域 (TAD) 内。然后,我们进行了较低通量的缺失筛选,以在原代辅助性 T 细胞 2 (Th2) 细胞中精确绘制调控序列。我们测试了具有约 100bp 缺失的 25 个序列,并通过独立的缺失实验验证了其中五个最强的命中。此外,我们在 GATA3 下游 1Mb 的远端调控元件中对过敏疾病的 GWAS 热点进行了精细映射,并确定了 14 个候选因果变体。跨越候选变体 rs725861 的小缺失降低了 Th2 细胞中的 GATA3 水平,而荧光素酶报告基因测定显示其两个等位基因之间存在调控差异,表明该变体在过敏疾病中的因果机制。我们的研究表明,将 GWAS 信号与缺失图谱整合的强大功能,并确定了 GATA3 的关键调控序列。