Identification of unique venous thromboembolism-susceptibility variants in African-Americans

SummaryTo identify novel single nucleotide polymorphisms (SNPs) associated with venous thromboembolism (VTE) in African-Americans (AAs), we performed a genome-wide association study (GWAS) of VTE in AAs using the Electronic Medical Records and Genomics (eMERGE) Network, comprised of seven sites each with DNA biobanks (total ~39,200 unique DNA samples) with genome-wide SNP data (imputed to 1000 Genomes Project cosmopolitan reference panel) and linked to electronic health records (EHRs). Using a validated EHR-driven phenotype extraction algorithm, we identified VTE cases and controls and tested for an association between each SNP and VTE using unconditional logistic regression, adjusted for age, sex, stroke, site-platform combination and sickle cell risk genotype. Among 393 AA VTE cases and 4,941 AA controls, three intragenic SNPs reached genome-wide significance: LEMD3 rs138916004 (OR=3.2; p=1.3E-08), LY86 rs3804476 (OR=1.8; p=2E-08) and LOC100130298 rs142143628 (OR=4.5; p=4.4E-08); all three SNPs validated using internal cross-validation, parametric bootstrap and meta-analysis methods. LEMD3 rs138916004 and LOC100130298 rs142143628 are only present in Africans (1000G data). LEMD3 showed a significant differential expression in both NCBI Gene Expression Omnibus (GEO) and the Mayo Clinic gene expression data, LOC100130298 showed a significant differential expression only in the GEO expression data, and LY86 showed a significant differential expression only in the Mayo expression data. LEMD3 encodes for an antagonist of TGF-β-induced cell proliferation arrest. LY86 encodes for MD-1 which down-regulates the pro-inflammatory response to lipopolysaccharide; LY86 variation was previously associated with VTE in white women; LOC100130298 is a non-coding RNA gene with unknown regulatory activity in gene expression and epigenetics.Supplementary Material to this article is available online at www.thrombosis-online.com.

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The combination of a genome-wide association study of lymphocyte count and analysis of gene expression data reveals novel asthma candidate genes

Human Molecular Genetics ◽

10.1093/hmg/dds021 ◽

2012 ◽

Vol 21 (9) ◽

pp. 2111-2123 ◽

Cited By ~ 37

Author(s):

Darren A. Cusanovich ◽

Christine Billstrand ◽

Xiang Zhou ◽

Claudia Chavarria ◽

Sherryl De Leon ◽

...

Keyword(s):

Gene Expression ◽

Association Study ◽

Candidate Genes ◽

Gene Expression Data ◽

Lymphocyte Count ◽

Genome Wide Association Study ◽

Genome Wide Association ◽

Expression Data ◽

Genome Wide ◽

A Genome

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A Genome-Wide Integrative Association Study of DNA Methylation and Gene Expression Data and Later Life Cognitive Functioning in Monozygotic Twins

Frontiers in Neuroscience ◽

10.3389/fnins.2020.00233 ◽

2020 ◽

Vol 14 ◽

Cited By ~ 1

Author(s):

Mette Soerensen ◽

Dominika Marzena Hozakowska-Roszkowska ◽

Marianne Nygaard ◽

Martin J. Larsen ◽

Veit Schwämmle ◽

...

Keyword(s):

Gene Expression ◽

Dna Methylation ◽

Cognitive Functioning ◽

Association Study ◽

Gene Expression Data ◽

Monozygotic Twins ◽

Later Life ◽

Expression Data ◽

Genome Wide ◽

A Genome

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Genome-wide association study and transcriptome analysis discover new genes for bacterial leaf blight resistance in rice (Oryza sativa L.)

BMC Plant Biology ◽

10.1186/s12870-021-03041-2 ◽

2021 ◽

Vol 21 (1) ◽

Author(s):

Xinyue Shu ◽

Aijun Wang ◽

Bo Jiang ◽

Yuqi Jiang ◽

Xing Xiang ◽

...

Keyword(s):

Oryza Sativa ◽

Association Study ◽

Transcriptome Analysis ◽

Genome Wide Association Study ◽

Leaf Blight ◽

Genome Wide Association ◽

Bacterial Leaf Blight ◽

Significant Differential Expression ◽

Genome Wide ◽

A Genome

Abstract Background Rice (Oryza sativa) bacterial leaf blight (BLB), caused by the hemibiotrophic Xanthomonas oryzae pv. oryzae (Xoo), is one of the most devastating diseases affecting the production of rice worldwide. The development and use of resistant rice varieties or genes is currently the most effective strategy to control BLB. Results Here, we used 259 rice accessions, which are genotyped with 2 888 332 high-confidence single nucleotide polymorphisms (SNPs). Combining resistance variation data of 259 rice lines for two Xoo races observed in 2 years, we conducted a genome-wide association study (GWAS) to identify quantitative trait loci (QTL) conferring plant resistance against BLB. The expression levels of genes, which contains in GWAS results were also identified between the resistant and susceptible rice lines by transcriptome analysis at four time points after pathogen inoculation. From that 109 candidate resistance genes showing significant differential expression between resistant and susceptible rice lines were uncovered. Furthermore, the haplotype block structure analysis predicted 58 candidate genes for BLB resistance based on Chr. 7_707158 with a minimum P-value (–log 10 P = 9.72). Among them, two NLR protein-encoding genes, LOC_Os07g02560 and LOC_Os07g02570, exhibited significantly high expression in the resistant line, but had low expression in the susceptible line of rice. Conclusions Together, our results reveal novel BLB resistance gene resources, and provide important genetic basis for BLB resistance breeding of rice crops.

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DNA hypermethylation associated with upregulated gene expression in prostate cancer demonstrates the diversity of epigenetic regulation

BMC Medical Genomics ◽

10.1186/s12920-020-0657-6 ◽

2020 ◽

Vol 13 (1) ◽

Cited By ~ 2

Author(s):

Ieva Rauluseviciute ◽

Finn Drabløs ◽

Morten Beck Rye

Keyword(s):

Gene Expression ◽

Prostate Cancer ◽

Dna Methylation ◽

Epigenetic Regulation ◽

Normal Tissue ◽

Expression Profiles ◽

Expression Data ◽

Dna Hypermethylation ◽

Genome Wide ◽

A Genome

Abstract Background Prostate cancer (PCa) has the highest incidence rates of cancers in men in western countries. Unlike several other types of cancer, PCa has few genetic drivers, which has led researchers to look for additional epigenetic and transcriptomic contributors to PCa development and progression. Especially datasets on DNA methylation, the most commonly studied epigenetic marker, have recently been measured and analysed in several PCa patient cohorts. DNA methylation is most commonly associated with downregulation of gene expression. However, positive associations of DNA methylation to gene expression have also been reported, suggesting a more diverse mechanism of epigenetic regulation. Such additional complexity could have important implications for understanding prostate cancer development but has not been studied at a genome-wide scale. Results In this study, we have compared three sets of genome-wide single-site DNA methylation data from 870 PCa and normal tissue samples with multi-cohort gene expression data from 1117 samples, including 532 samples where DNA methylation and gene expression have been measured on the exact same samples. Genes were classified according to their corresponding methylation and expression profiles. A large group of hypermethylated genes was robustly associated with increased gene expression (UPUP group) in all three methylation datasets. These genes demonstrated distinct patterns of correlation between DNA methylation and gene expression compared to the genes showing the canonical negative association between methylation and expression (UPDOWN group). This indicates a more diversified role of DNA methylation in regulating gene expression than previously appreciated. Moreover, UPUP and UPDOWN genes were associated with different compartments — UPUP genes were related to the structures in nucleus, while UPDOWN genes were linked to extracellular features. Conclusion We identified a robust association between hypermethylation and upregulation of gene expression when comparing samples from prostate cancer and normal tissue. These results challenge the classical view where DNA methylation is always associated with suppression of gene expression, which underlines the importance of considering corresponding expression data when assessing the downstream regulatory effect of DNA methylation.

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