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Statistically and functionally fine-mapped blood eQTLs and pQTLs from 1,405 humans reveal distinct regulation patterns and disease relevance

  • Qingbo S. Wang,
  • Takanori Hasegawa,
  • Ho Namkoong,
  • Ryunosuke Saiki,
  • Ryuya Edahiro,
  • Kyuto Sonehara,
  • Hiromu Tanaka,
  • Shuhei Azekawa,
  • Shotaro Chubachi,
  • Yugo Takahashi,
  • Saori Sakaue,
  • Shinichi Namba,
  • Kenichi Yamamoto,
  • Yuichi Shiraishi,
  • Kenichi Chiba,
  • Hiroko Tanaka,
  • Hideki Makishima,
  • Yasuhito Nannya,
  • Zicong Zhang,
  • Rika Tsujikawa,
  • Ryuji Koike,
  • Tomomi Takano,
  • Makoto Ishii,
  • Akinori Kimura,
  • Fumitaka Inoue,
  • Takanori Kanai,
  • Koichi Fukunaga,
  • Seishi Ogawa,
  • Seiya Imoto,
  • Satoru Miyano,
  • Yukinori Okada

摘要

Studying the genetic regulation of protein expression (through protein quantitative trait loci (pQTLs)) offers a deeper understanding of regulatory variants uncharacterized by mRNA expression regulation (expression QTLs (eQTLs)) studies. Here we report cis-eQTL and cis-pQTL statistical fine-mapping from 1,405 genotyped samples with blood mRNA and 2,932 plasma samples of protein expression, as part of the Japan COVID-19 Task Force (JCTF). Fine-mapped eQTLs (n = 3,464) were enriched for 932 variants validated with a massively parallel reporter assay. Fine-mapped pQTLs (n = 582) were enriched for missense variations on structured and extracellular domains, although the possibility of epitope-binding artifacts remains. Trans-eQTL and trans-pQTL analysis highlighted associations of class I HLA allele variation with KIR genes. We contrast the multi-tissue origin of plasma protein with blood mRNA, contributing to the limited colocalization level, distinct regulatory mechanisms and trait relevance of eQTLs and pQTLs. We report a negative correlation between ABO mRNA and protein expression because of linkage disequilibrium between distinct nearby eQTLs and pQTLs.