To the top

Page Manager: Webmaster
Last update: 9/11/2012 3:13 PM

Tell a friend about this page
Print version

A Comprehensive Sequencin… - University of Gothenburg, Sweden Till startsida
To content Read more about how we use cookies on

A Comprehensive Sequencing-Based Analysis of Allelic Methylation Patterns in Hemostatic Genes in Human Liver

Journal article
Authors Martina Olsson Lindvall
Marcela Davila Lopez
Sofia Klasson
L. Hansson
Staffan Nilsson
Tara M Stanne
Christina Jern
Published in Thrombosis and Haemostasis
Volume 120
Issue 2
Pages 229-242
ISSN 0340-6245
Publication year 2020
Published at Department of Laboratory Medicine
Core Facilities, Bioinformatics
Pages 229-242
Language en
Keywords coagulation factors, gene regulation, hemostasis, single-nucleotide, polymorphisms, DNA methylation, genome-wide, variants, expression, polymorphisms, associations, widespread, dosage, target, tissue, Hematology, Cardiovascular System & Cardiology
Subject categories Cardiac and Cardiovascular Systems


Characterizing the relationship between genetic, epigenetic (e.g., deoxyribonucleic acid [DNA] methylation), and transcript variation could provide insights into mechanisms regulating hemostasis and potentially identify new drug targets. Several hemostatic factors are synthesized in the liver, yet high-resolution DNA methylation data from human liver tissue is currently lacking for these genes. Single-nucleotide polymorphisms (SNPs) can influence DNA methylation in cis which can affect gene expression. This can be analyzed through allele-specific methylation (ASM) experiments. We performed targeted genomic DNA- and bisulfite-sequencing of 35 hemostatic genes in human liver samples for SNP and DNA methylation analysis, respectively, and integrated the data for ASM determination. ASM-associated SNPs (ASM-SNPs) were tested for association to gene expression in liver using in-house generated ribonucleic acid-sequencing data. We then assessed whether ASM-SNPs associated with gene expression, plasma proteins, or other traits relevant for hemostasis using publicly available data. We identified 112 candidate ASM-SNPs. Of these, 68% were associated with expression of their respective genes in human liver or in other human tissues and 54% were associated with the respective plasma protein levels, activity, or other relevant hemostatic genome-wide association study traits such as venous thromboembolism, coronary artery disease, stroke, and warfarin dose maintenance. Our study provides the first detailed map of the DNA methylation landscape and ASM analysis of hemostatic genes in human liver tissue, and suggests that methylation regulated by genetic variants in cis may provide a mechanistic link between noncoding SNPs and variation observed in circulating hemostatic proteins, prothrombotic diseases, and drug response.

Page Manager: Webmaster|Last update: 9/11/2012

The University of Gothenburg uses cookies to provide you with the best possible user experience. By continuing on this website, you approve of our use of cookies.  What are cookies?