Genetic Basis of Altered Platelet Counts and Gestational Thrombocytopenia in Pregnancy

Abstract

Platelet counts reduction occurs throughout pregnancy, with 5-12% of pregnancies being diagnosed with gestational thrombocytopenia (GT), characterized by a decrease in platelet count during pregnancy. However, the underlying biological mechanism behind this altered platelet count phenomenon and GT remains unclear. Here, we utilized sequencing data from non-invasive prenatal test (NIPT) among 100,186 Chinese pregnancies and conducted the hitherto largest-scale genome-wide association studies (GWAS) on platelet counts at five periods of pregnancy (the first, second, and third trimesters, delivery, and the postpartum period), as well as two GT statuses (GT: platelet count < 150 × 109/L and severe GT: platelet count < 100 × 109/L). Our analysis revealed 138 genome-wide significant loci, explaining 10.4 to 12.1% of the observed variation. Attractively, we identified previously unknown changes in genetic effects on platelet counts during pregnancy for variants present in PEAR1 and CBL, with PEAR1 variants specifically associated with a faster decline in platelet counts. Furthermore, we found that variants present in PEAR1 and TUBB1 increased susceptibility to GT and severe GT. Our study provides the first insight into the genetic basis of platelet counts and GT in pregnancy, highlighting the critical role of PEAR1 in decreasing platelet counts during pregnancy and the occurrence of GT. Pregnancies carrying specific variants associated with declining platelet counts may experience a more pronounced decrease, thereby elevating the risk of GT. These findings lay the groundwork for further investigation into the biological mechanisms and causal implications of GT.

Publication
Blood
Zijing Yang
Zijing Yang
Master student
Yuqin Gu
Yuqin Gu
PhD student
Yanhong Liu
Yanhong Liu
PhD student
Yuandan Wei
Yuandan Wei
Master student
Hao Zheng
Hao Zheng
Master student
Xinxin Guo
Xinxin Guo
Master student
Siyang Liu
Siyang Liu
Associate Professor, School of Public Health (Shenzhen), Sun Yat-sen University

Focused on human genomics and bioinformatics research

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