Sex-biased genetic regulation of inflammatory proteins in the Dutch population

Abstract Background Significant differences in immune responses, prevalence or susceptibility of diseases and treatment responses have been described between males and females. Despite this, sex-differentiation analysis of the genetic architecture of inflammatory proteins is largely unexplored. We performed sex-stratified meta-analysis after protein quantitative trait loci (pQTL) mapping using inflammatory biomarkers profiled using targeted proteomics (Olink inflammatory panel) of two population-based cohorts of Europeans. Results Even though, around 67% of the pQTLs demonstrated shared effect... Mehr ...

Verfasser: Collins K. Boahen
Hannah Abee
Isis Ricaño Ponce
Leo A. B. Joosten
Mihai G. Netea
Vinod Kumar
Dokumenttyp: Artikel
Erscheinungsdatum: 2024
Reihe/Periodikum: BMC Genomics, Vol 25, Iss 1, Pp 1-20 (2024)
Verlag/Hrsg.: BMC
Schlagwörter: Sex-stratified genetic analysis / Inflammation / pQTL / GWAS / Biomarkers / Biotechnology / TP248.13-248.65 / Genetics / QH426-470
Sprache: Englisch
Permalink: https://search.fid-benelux.de/Record/base-28987149
Datenquelle: BASE; Originalkatalog
Powered By: BASE
Link(s) : https://doi.org/10.1186/s12864-024-10065-z

Abstract Background Significant differences in immune responses, prevalence or susceptibility of diseases and treatment responses have been described between males and females. Despite this, sex-differentiation analysis of the genetic architecture of inflammatory proteins is largely unexplored. We performed sex-stratified meta-analysis after protein quantitative trait loci (pQTL) mapping using inflammatory biomarkers profiled using targeted proteomics (Olink inflammatory panel) of two population-based cohorts of Europeans. Results Even though, around 67% of the pQTLs demonstrated shared effect between sexes, colocalization analysis identified two loci in the males (LINC01135 and ITGAV) and three loci (CNOT10, SRD5A2, and LILRB5) in the females with evidence of sex-dependent modulation by pQTL variants. Furthermore, we identified pathways with relevant functions in the sex-biased pQTL variants. We also showed through cross-validation that the sex-specific pQTLs are linked with sex-specific phenotypic traits. Conclusion Our study demonstrates the relevance of genetic sex-stratified analysis in the context of genetic dissection of protein abundances among individuals and reveals that, sex-specific pQTLs might mediate sex-linked phenotypes. Identification of sex-specific pQTLs associated with sex-biased diseases can help realize the promise of individualized treatment.