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Kumari A, Chauhan G, Chaudhuri PK, Kumari S, Prasad A. Genetic Variants Associated with the Risk of Stroke in Sickle Cell Anemia: Systematic Review and Meta-Analysis. Hemoglobin 2024; 48:101-112. [PMID: 38637280 DOI: 10.1080/03630269.2024.2340685] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2023] [Accepted: 04/01/2024] [Indexed: 04/20/2024]
Abstract
Sickle cell anemia (SCA) is the most common cause of stroke in children. As it is a rare disease, studies investigating the association with complications like stroke in SCD have small sample sizes. Here, we performed a systematic review and meta-analysis of the studies exploring an association of genetic variants with stroke to get a better indication of their association with stroke. PubMed and Google Scholar were searched to identify studies that had performed an association analysis of genetic variants for the risk of stroke in SCA patients. After screening of eligible studies, summary statistics of association analysis with stroke and other general information were extracted. Meta-analysis was performed using the fixed effect method on the tool METAL and forest plots were plotted using the R program. The random effect model was performed as a sensitivity analysis for loci where significant heterogeneity was observed. 407 studies were identified using the search term and after screening 37 studies that cumulatively analyzed 11,373 SCA patients were included. These 37 studies included a total of 2,222 SCA patients with stroke, predominantly included individuals of African ancestry (N = 16). Three of these studies performed whole exome sequencing while 35 performed single nucleotide-based genotyping. Though the studies reported association with 132 loci, meta-analyses could be performed only for 12 loci that had data from two or more studies. After meta-analysis we observed that four loci were significantly associated with risk for stroke: -α3.7 kb Alpha-thalassemia deletion (P = 0.00000027), rs489347-TEK (P = 0.00081), rs2238432-ADCY9 (P = 0.00085), rs11853426-ANXA2 (P = 0.0034), and rs1800629-TNF (P = 0.0003396). Ethnic representation of regions with a high prevalence of SCD like the Mediterranean basin and India needs to be improved for genetic studies on associated complications like stroke. Larger genome-wide collaborative studies on SCD and associated complications including stroke need to be performed.
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Affiliation(s)
- Aradhana Kumari
- Department of Genetics and Genomics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
- Department of Biochemistry, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Ganesh Chauhan
- Department of Genetics and Genomics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
- Central Research Facility, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Partha Kumar Chaudhuri
- Department of Paediatrics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Sushma Kumari
- Department of Transfusion Medicine and Blood Centre, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
| | - Anupa Prasad
- Department of Genetics and Genomics, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
- Department of Biochemistry, Rajendra Institute of Medical Sciences, Ranchi, Jharkhand, India
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Chen D, Pruthi R. A Brief History of Hemostasis and Thrombosis at the Mayo Clinic. Semin Thromb Hemost 2024; 50:26-33. [PMID: 36940712 DOI: 10.1055/s-0043-1764470] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/23/2023]
Abstract
Coagulation is a crucial biological mechanism in human bodies to prevent blood loss. Abnormal coagulation can cause bleeding diathesis or thrombosis, common pathologic conditions in our clinical practice. Many individuals and organizations have dedicated their efforts in the past decades to understanding the biological and pathological mechanisms of coagulation and developing laboratory testing tools and treatment options to help patients with bleeding or thrombotic conditions. Since 1926, the Mayo Clinic coagulation group has made significant contributions to the clinical and laboratory practice, basic and translational research on various hemostatic and thrombotic disorders, and the education and collaboration to share and advance our knowledge in coagulation through a highly integrated team and practice model. We would like to use this review to share our history and inspire medical professionals and trainees to join the efforts to advance our understanding of coagulation pathophysiology and improve our care for patients with coagulation disorders.
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Affiliation(s)
- Dong Chen
- Division of Hematopathology, Mayo Clinic, Rochester, Minnesota
| | - Rajiv Pruthi
- Division of Hematopathology, Mayo Clinic, Rochester, Minnesota
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3
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Wu L, Chen J. Type 3 IP3 receptor: Its structure, functions, and related disease implications. Channels (Austin) 2023; 17:2267416. [PMID: 37818548 PMCID: PMC10569359 DOI: 10.1080/19336950.2023.2267416] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 10/02/2023] [Indexed: 10/12/2023] Open
Abstract
Cell-fate decisions depend on the precise and strict regulation of multiple signaling molecules and transcription factors, especially intracellular Ca2+ homeostasis and dynamics. Type 3 inositol 1,4,5-triphosphate receptor (IP3R3) is an a tetrameric channel that can mediate the release of Ca2+ from the endoplasmic reticulum (ER) in response to extracellular stimuli. The gating of IP3R3 is regulated not only by ligands but also by other interacting proteins. To date, extensive research conducted on the basic structure of IP3R3, as well as its regulation by ligands and interacting proteins, has provided novel perspectives on its biological functions and pathogenic mechanisms. This review aims to discuss recent advancements in the study of IP3R3 and provides a comprehensive overview of the relevant literature pertaining to its structure, biological functions, and pathogenic mechanisms.
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Affiliation(s)
- Lvying Wu
- Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
| | - Jin Chen
- Institute of Clinical Medicine, The Second Affiliated Hospital of Hainan Medical University, Haikou, China
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Alshabeeb MA, Alwadaani D, Al Qahtani FH, Abohelaika S, Alzahrani M, Al Zayed A, Al Saeed HH, Al Ajmi H, Alsomaie B, Rashid M, Daly AK. Impact of Genetic Variations on Thromboembolic Risk in Saudis with Sickle Cell Disease. Genes (Basel) 2023; 14:1919. [PMID: 37895268 PMCID: PMC10606407 DOI: 10.3390/genes14101919] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2023] [Revised: 10/04/2023] [Accepted: 10/07/2023] [Indexed: 10/29/2023] Open
Abstract
BACKGROUND Sickle cell disease (SCD) is a Mendelian disease characterized by multigenic phenotypes. Previous reports indicated a higher rate of thromboembolic events (TEEs) in SCD patients. A number of candidate polymorphisms in certain genes (e.g., FVL, PRT, and MTHFR) were previously reported as risk factors for TEEs in different clinical conditions. This study aimed to genotype these genes and other loci predicted to underlie TEEs in SCD patients. METHODOLOGY A multi-center genome-wide association study (GWAS) involving Saudi SCD adult patients with a history of TEEs (n = 65) and control patients without TEE history (n = 285) was performed. Genotyping used the 10× Affymetrix Axiom array, which includes 683,030 markers. Fisher's exact test was used to generate p-values of TEE associations with each single-nucleotide polymorphism (SNP). The haplotype analysis software tool version 1.05, designed by the University of Göttingen, Germany, was used to identify the common inherited haplotypes. RESULTS No association was identified between the targeted single-nucleotide polymorphism rs1801133 in MTHFR and TEEs in SCD (p = 0.79). The allele frequency of rs6025 in FVL and rs1799963 in PRT in our cohort was extremely low (<0.01); thus, both variants were excluded from the analysis as no meaningful comparison was possible. In contrast, the GWAS analysis showed novel genome-wide associations (p < 5 × 10-8) with seven signals; five of them were located on Chr 11 (rs35390334, rs331532, rs317777, rs147062602, and rs372091), one SNP on Chr 20 (rs139341092), and another on Chr 9 (rs76076035). The other 34 SNPs located on known genes were also detected at a signal threshold of p < 5 × 10-6. Seven of the identified variants are located in olfactory receptor family 51 genes (OR51B5, OR51V1, OR51A1P, and OR51E2), and five variants were related to family 52 genes (OR52A5, OR52K1, OR52K2, and OR52T1P). The previously reported association between rs5006884-A in OR51B5 and fetal hemoglobin (HbF) levels was confirmed in our study, which showed significantly lower levels of HbF (p = 0.002) and less allele frequency (p = 0.003) in the TEE cases than in the controls. The assessment of the haplotype inheritance pattern involved the top ten significant markers with no LD (rs353988334, rs317777, rs14788626882, rs49188823, rs139349992, rs76076035, rs73395847, rs1368823, rs8888834548, and rs1455957). A haplotype analysis revealed significant associations between two haplotypes (a risk, TT-AA-del-AA-ins-CT-TT-CC-CC-AA, and a reverse protective, CC-GG-ins-GG-del-TT-CC-TT-GG-GG) and TEEs in SCD (p = 0.024, OR = 6.16, CI = 1.34-28.24, and p = 0.019, OR = 0.33, CI = 0.13-0.85, respectively). CONCLUSIONS Seven markers showed novel genome-wide associations; two of them were exonic variants (rs317777 in OLFM5P and rs147062602 in OR51B5), and less significant associations (p < 5 × 10-6) were identified for 34 other variants in known genes with TEEs in SCD. Moreover, two 10-SNP common haplotypes were determined with contradictory effects. Further replication of these findings is needed.
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Affiliation(s)
- Mohammad A. Alshabeeb
- King Abdullah International Medical Research Center (KAIMRC), Riyadh 11426, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
| | - Deemah Alwadaani
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
- Medical Genomics Research Department, King Abdullah International Medical Research Center (KAIMRC), Riyadh 11481, Saudi Arabia
| | - Farjah H. Al Qahtani
- Hematology/Oncology Center, King Saud University Medical City (KSUMC), Riyadh 11411, Saudi Arabia;
| | - Salah Abohelaika
- Research Department, Qatif Central Hospital (QCH), Qatif 32654, Saudi Arabia;
- Pharmacy Department, Qatif Central Hospital (QCH), Qatif 32654, Saudi Arabia
| | - Mohsen Alzahrani
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
- King Fahad Hospital, Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia
| | - Abdullah Al Zayed
- Hematology Department, Qatif Central Hospital (QCH), Qatif 32654, Saudi Arabia; (A.A.Z.); (H.H.A.S.)
| | - Hussain H. Al Saeed
- Hematology Department, Qatif Central Hospital (QCH), Qatif 32654, Saudi Arabia; (A.A.Z.); (H.H.A.S.)
| | - Hala Al Ajmi
- King Abdullah International Medical Research Center (KAIMRC), Riyadh 11426, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
| | - Barrak Alsomaie
- King Abdullah International Medical Research Center (KAIMRC), Riyadh 11426, Saudi Arabia
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
| | - Mamoon Rashid
- King Saud Bin Abdulaziz University for Health Sciences (KSAU-HS), Ministry of National Guard Health Affairs (MNGHA), Riyadh 11426, Saudi Arabia (M.A.)
- Department of AI and Bioinformatics, King Abdullah International Medical Research Center (KAIMRC), Riyadh 11481, Saudi Arabia
| | - Ann K. Daly
- Translational and Clinical Research Institute, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne NE1 7RU, UK
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Singhal P, Tan ALM, Drivas TG, Johnson KB, Ritchie MD, Beaulieu-Jones BK. Opportunities and challenges for biomarker discovery using electronic health record data. Trends Mol Med 2023; 29:765-776. [PMID: 37474378 PMCID: PMC10530198 DOI: 10.1016/j.molmed.2023.06.006] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 06/16/2023] [Accepted: 06/22/2023] [Indexed: 07/22/2023]
Abstract
Electronic health records (EHRs) have become increasingly relied upon as a source for biomedical research. One important research application of EHRs is the identification of biomarkers associated with specific patient states, especially within complex conditions. However, using EHRs for biomarker identification can be challenging because the EHR was not designed with research as the primary focus. Despite this challenge, the EHR offers huge potential for biomarker discovery research to transform our understanding of disease etiology and treatment and generate biological insights informing precision medicine initiatives. This review paper provides an in-depth analysis of how EHR data is currently used for phenotyping and identifying molecular biomarkers, current challenges and limitations, and strategies we can take to mitigate challenges going forward.
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Affiliation(s)
- P Singhal
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - A L M Tan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - T G Drivas
- Department of Medicine, University of Pennsylvania, Philadelphia, PA, USA
| | - K B Johnson
- Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA; Department of Pediatrics, University of Pennsylvania, Philadelphia, PA, USA
| | - M D Ritchie
- Department of Genetics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Biostatistics, Epidemiology, and Informatics, University of Pennsylvania, Philadelphia, PA, USA.
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Liu F, Wang Y, Huang X, Liu D, Ding W, Lai H, Wang C, Ji Q. LINC02015 modulates the cell proliferation and apoptosis of aortic vascular smooth muscle cells by transcriptional regulation and protein interaction network. Cell Death Discov 2023; 9:301. [PMID: 37596272 PMCID: PMC10439127 DOI: 10.1038/s41420-023-01601-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 07/31/2023] [Accepted: 08/10/2023] [Indexed: 08/20/2023] Open
Abstract
Long intergenic nonprotein coding RNA 2015 (LINC02015) is a long non-coding RNA that has been found elevated in various cell proliferation-related diseases. However, the functions and interactive mechanism of LINC02015 remain unknown. This study aimed to explore the role of LINC02015 in the cell proliferation and apoptosis of vascular smooth muscle cells (VSMCs) to explain the pathogenesis of aortic diseases. Ascending aorta samples and angiotensin-II (AT-II) treated primary human aortic VSMCs (HAVSMCs) were used to evaluate the LINC02015 expression. RNA sequencing, chromatin isolation by RNA purification sequencing, RNA pull-down, and mass spectrometry (MS) were applied to explore the potential interacting mechanisms. LINC02015 expression was found elevated in aortic dissection and AT-II-treated HAVSMCs. Cell proliferation and cell cycle were activated in HAVSMCs with LINC02015 knockdown. The cyclins family and caspase family were found to participate in regulating the cell cycle and apoptosis via the NF-κB signaling pathway. RXRA was discovered as a possible hub gene for LINC02015 transcriptional regulating networks. Besides, the protein interaction network of LINC02015 was revealed with candidate regulating molecules. It was concluded that the knockdown of LINC02015 could promote cell proliferation and inhibit the apoptosis of HAVSMCs through an RXRA-related transcriptional regulation network, which could provide a potential therapeutic target for aortic diseases.
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Affiliation(s)
- Fangyu Liu
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
- Shanghai Municipal Institute for Cardiovascular Diseases, Shanghai, 200032, China
| | - Yulin Wang
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Xitong Huang
- Department of Traditional Chinese Medicine, China Pharmaceutical University, Nanjing, Jiangsu, 211198, China
| | - Dingqian Liu
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Wenjun Ding
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Hao Lai
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China
| | - Chunsheng Wang
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
- Shanghai Municipal Institute for Cardiovascular Diseases, Shanghai, 200032, China.
| | - Qiang Ji
- Department of Cardiovascular Surgery, Zhongshan Hospital, Fudan University, Shanghai, 200032, China.
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Zhang H, Alarcon C, Cavallari LH, Nutescu E, Carvill GL, Perera MA, Hernandez W. Genomewide Association Study Identifies Copy Number Variants Associated With Warfarin Dose Response and Risk of Venous Thromboembolism in African Americans. Clin Pharmacol Ther 2023; 113:624-633. [PMID: 36507737 PMCID: PMC11238476 DOI: 10.1002/cpt.2820] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2022] [Accepted: 12/05/2022] [Indexed: 12/14/2022]
Abstract
The anticoagulant warfarin is commonly used to control and prevent thrombotic disorders, such as venous thromboembolism (VTE), which disproportionately afflicts African Americans. Despite the importance of copy number variants (CNVs), few studies have focused on characterizing and understanding their role in drug response and disease risk among African Americans. In this study, we conduct the first genome-wide analysis of CNVs to more comprehensively account for the contribution of genetic variation in warfarin dose requirement and VTE risk among African Americans. We used hidden Markov models to detect CNVs from high-throughput single-nucleotide polymorphism arrays for 340 African American participants in the International Warfarin Pharmacogenetics Consortium. We identified 11,570 CNVs resulting in 2,038 copy number variable regions (CNVRs) and found 3 CNVRs associated with warfarin dose requirement and 3 CNVRs associated with VTE risk in African Americans. CNVRs 1q31.2del and 6q14.1del were associated with increased warfarin dose requirement (β = 11.18 and 4.94, respectively; Pemp = < 0.002); CNVR 19p13.31del was associated with decreased warfarin dose requirement (β = -1.41, Pemp = 0.0004); CNVRs (2p22.1del and 5q35.1-q35.2del) were found to be associated with increased risk of VTE (odds ratios (ORs) = 1.88 and 14.9, respectively; Pemp ≤0.02); and CNVR 10q26.12del was associated with a decreased risk of VTE (OR = 0.6; Pemp = 0.05). Modeling of the 10q26.12del in HepG2 cells revealed that this deletion results in decreased fibrinogen gene expression, decreased fibrinogen and WDR11 protein levels, and decreased secretion of fibrinogen into the extracellular matrix. We found robust evidence that CNVRs could contribute to warfarin dose requirement and risk of VTE in African Americans and for 10q26.3del describe a possible pathogenic mechanism.
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Affiliation(s)
- Honghong Zhang
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Cristina Alarcon
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Larisa H. Cavallari
- Department of Pharmacotherapy and Translational Research, Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, Florida, USA
| | - Edith Nutescu
- Department of Pharmacy Practice, College of Pharmacy, University of Illinois Chicago, Chicago, Illinois, USA
| | - Gemma L. Carvill
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
- Department of Neurology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Minoli A. Perera
- Department of Pharmacology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois, USA
| | - Wenndy Hernandez
- Section of Cardiology, University of Chicago, Chicago, Illinois, USA
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Ghouse J, Tragante V, Ahlberg G, Rand SA, Jespersen JB, Leinøe EB, Vissing CR, Trudsø L, Jonsdottir I, Banasik K, Brunak S, Ostrowski SR, Pedersen OB, Sørensen E, Erikstrup C, Bruun MT, Nielsen KR, Køber L, Christensen AH, Iversen K, Jones D, Knowlton KU, Nadauld L, Halldorsson GH, Ferkingstad E, Olafsson I, Gretarsdottir S, Onundarson PT, Sulem P, Thorsteinsdottir U, Thorgeirsson G, Gudbjartsson DF, Stefansson K, Holm H, Olesen MS, Bundgaard H. Genome-wide meta-analysis identifies 93 risk loci and enables risk prediction equivalent to monogenic forms of venous thromboembolism. Nat Genet 2023; 55:399-409. [PMID: 36658437 DOI: 10.1038/s41588-022-01286-7] [Citation(s) in RCA: 42] [Impact Index Per Article: 42.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/09/2022] [Accepted: 12/13/2022] [Indexed: 01/21/2023]
Abstract
We report a genome-wide association study of venous thromboembolism (VTE) incorporating 81,190 cases and 1,419,671 controls sampled from six cohorts. We identify 93 risk loci, of which 62 are previously unreported. Many of the identified risk loci are at genes encoding proteins with functions converging on the coagulation cascade or platelet function. A VTE polygenic risk score (PRS) enabled effective identification of both high- and low-risk individuals. Individuals within the top 0.1% of PRS distribution had a VTE risk similar to homozygous or compound heterozygous carriers of the variants G20210A (c.*97 G > A) in F2 and p.R534Q in F5. We also document that F2 and F5 mutation carriers in the bottom 10% of the PRS distribution had a risk similar to that of the general population. We further show that PRS improved individual risk prediction beyond that of genetic and clinical risk factors. We investigated the extent to which venous and arterial thrombosis share clinical risk factors using Mendelian randomization, finding that some risk factors for arterial thrombosis were directionally concordant with VTE risk (for example, body mass index and smoking) whereas others were discordant (for example, systolic blood pressure and triglyceride levels).
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Affiliation(s)
- Jonas Ghouse
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark.
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark.
| | | | - Gustav Ahlberg
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren A Rand
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jakob B Jespersen
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Eva Birgitte Leinøe
- Department of Hematology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | | | - Linea Trudsø
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ingileif Jonsdottir
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Iceland Department of Immunology, Landspitali-The National University Hospital of Iceland, Reykjavik, Iceland
| | - Karina Banasik
- Translational Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Søren Brunak
- Translational Disease Systems Biology, Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Sisse R Ostrowski
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Ole B Pedersen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Clinical Immunology, Næstved Hospital, Næstved, Denmark
| | - Erik Sørensen
- Department of Clinical Immunology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
| | - Christian Erikstrup
- Department of Clinical Immunology, Aarhus University Hospital, Aarhus, Denmark
| | - Mie Topholm Bruun
- Department of Clinical Immunology, Odense University Hospital, Odense, Denmark
| | - Kaspar Rene Nielsen
- Department of Clinical Immunology, Aalborg University Hospital, Aalborg, Denmark
| | - Lars Køber
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Alex H Christensen
- Department of Cardiology, Copenhagen University Hospital, Herlev-Gentofte Hospital, Herlev, Denmark
| | - Kasper Iversen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Cardiology, Copenhagen University Hospital, Herlev-Gentofte Hospital, Herlev, Denmark
| | - David Jones
- Precision Genomics, Intermountain Healthcare, Saint George, UT, USA
| | - Kirk U Knowlton
- Intermountain Medical Center, Intermountain Heart Institute, Salt Lake City, UT, USA
- University of Utah, School of Medicine, Salt Lake City, UT, USA
| | - Lincoln Nadauld
- Precision Genomics, Intermountain Healthcare, Saint George, UT, USA
- Stanford University, School of Medicine, Stanford, CA, USA
| | | | | | | | | | - Pall T Onundarson
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
- Department of Laboratory Hematology, Landspitali, The National University Hospital of Iceland, Reykjavik, Iceland
| | | | - Unnur Thorsteinsdottir
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Gudmundur Thorgeirsson
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
- Department of Medicine, Landspitali-The National University Hospital of Iceland, Reykjavik, Iceland
| | - Daniel F Gudbjartsson
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
- School of Engineering and Natural Sciences, University of Iceland, Reykjavik, Iceland
| | - Kari Stefansson
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
- Faculty of Medicine, University of Iceland, Reykjavik, Iceland
| | - Hilma Holm
- deCODE genetics/Amgen, Inc., Reykjavik, Iceland
| | - Morten Salling Olesen
- Laboratory for Molecular Cardiology, Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Laboratory for Molecular Cardiology, Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Henning Bundgaard
- Department of Cardiology, Rigshospitalet, Copenhagen University Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
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9
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Deyssenroth MA, Peng S, Hao K, Marsit CJ, Chen J. Placental Gene Transcript Proportions are Altered in the Presence of In Utero Arsenic and Cadmium Exposures, Genetic Variants, and Birth Weight Differences. Front Genet 2022; 13:865449. [PMID: 35646058 PMCID: PMC9136297 DOI: 10.3389/fgene.2022.865449] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2022] [Accepted: 04/07/2022] [Indexed: 11/26/2022] Open
Abstract
Background: In utero arsenic and cadmium exposures are linked with reduced birth weight as well as alterations in placental molecular features. However, studies thus far have focused on summarizing transcriptional activity at the gene level and do not capture transcript specification, an important resource during fetal development to enable adaptive responses to the rapidly changing in utero physiological conditions. In this study, we conducted a genome-wide analysis of the placental transcriptome to evaluate the role of differential transcript usage (DTU) as a potential marker of in utero arsenic and cadmium exposure and fetal growth restriction. Methods: Transcriptome-wide RNA sequencing was performed in placenta samples from the Rhode Island Child Health Study (RICHS, n = 199). Arsenic and cadmium levels were measured in maternal toenails using ICP-MS. Differential transcript usage (DTU) contrasting small (SGA) and appropriate (AGA) for gestational age infants as well as above vs. below median exposure to arsenic and cadmium were assessed using the DRIMSeq R package. Genetic variants that influence transcript usage were determined using the sQTLseeker R package. Results: We identified 82 genes demonstrating DTU in association with SGA status at an FDR <0.05. Among these, one gene, ORMDL1, also demonstrated DTU in association with arsenic exposure, and fifteen genes (CSNK1E, GBA, LAMTOR4, MORF4L1, PIGO, PSG1, PSG3, PTMA, RBMS1, SLC38A2, SMAD4, SPCS2, TUBA1B, UBE2A, YIPF5) demonstrated DTU in association with cadmium exposure. In addition to cadmium exposure and SGA status, proportions of the LAMTOR4 transcript ENST00000474141.5 also differed by genetic variants (rs10231604, rs12878, and rs3736591), suggesting a pathway by which an in utero exposure and genetic variants converge to impact fetal growth through perturbations of placental processes. Discussion: We report the first genome-wide characterization of placental transcript usage and associations with intrauterine metal exposure and fetal growth restriction. These results highlight the utility of interrogating the transcriptome at finer-scale transcript-level resolution to identify novel placental biomarkers of exposure-induced outcomes.
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Affiliation(s)
- Maya A. Deyssenroth
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, New York, NY, United States
| | - Shouneng Peng
- Institute of Genomics and Multiscale Biology, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Ke Hao
- Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, United States
| | - Carmen J. Marsit
- Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, United States
| | - Jia Chen
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY, United States
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10
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Identification of four hub genes in venous thromboembolism via weighted gene coexpression network analysis. BMC Cardiovasc Disord 2021; 21:577. [PMID: 34861826 PMCID: PMC8642897 DOI: 10.1186/s12872-021-02409-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/15/2021] [Accepted: 11/26/2021] [Indexed: 11/13/2022] Open
Abstract
Background The pathogenic mechanisms of venous thromboembolism (VT) remain to be defined. This study aimed to identify differentially expressed genes (DEGs) that could serve as potential therapeutic targets for VT. Methods Two human datasets (GSE19151 and GSE48000) were analyzed by the robust rank aggregation method. Gene ontology and Kyoto encyclopedia of genes and genomes pathway enrichment analyses were conducted for the DEGs. To explore potential correlations between gene sets and clinical features and to identify hub genes, we utilized weighted gene coexpression network analysis (WGCNA) to build gene coexpression networks incorporating the DEGs. Then, the levels of the hub genes were analyzed in the GSE datasets. Based on the expression of the hub genes, the possible pathways were explored by gene set enrichment analysis and gene set variation analysis. Finally, the diagnostic value of the hub genes was assessed by receiver operating characteristic (ROC) analysis in the GEO database. Results In this study, we identified 54 upregulated and 10 downregulated genes that overlapped between normal and VT samples. After performing WGCNA, the magenta module was the module with the strongest negative correlation with the clinical characteristics. From the key module, FECH, GYPA, RPIA and XK were chosen for further validation. We found that these genes were upregulated in VT samples, and high expression levels were related to recurrent VT. Additionally, the four hub genes might be highly correlated with ribosomal and metabolic pathways. The ROC curves suggested a diagnostic value of the four genes for VT. Conclusions These results indicated that FECH, GYPA, RPIA and XK could be used as promising biomarkers for the prognosis and prediction of VT. Supplementary Information The online version contains supplementary material available at 10.1186/s12872-021-02409-4.
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11
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Abreu SC, Tavares V, Carneiro F, Medeiros R. Venous thromboembolism and prostate cancer: what about genetic markers? Pharmacogenomics 2021; 22:365-373. [PMID: 33749329 DOI: 10.2217/pgs-2020-0094] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/24/2022] Open
Abstract
Aim & methods: To review the existing literature concerning the relationship between venous thromboembolism (VTE) and prostate cancer (PC) and explore the putative biological and clinical implications of VTE genetic markers on PC patients by screening the PubMed database. Results: Considering the roles of VTE genome-wide association studies-identified genetic determinants in disease development in the general population, these variants might also underlie the susceptibility for PC-related VTE. Therefore, they could help to identify those with a positive benefit-to-harm ratio for thromboprophylaxis approaches during cancer therapy management, thereby improving patient's prognosis. Conclusion: Future studies are mandatory to explore the relationship between VTE and PC and dissect the predictive value of VTE genome-wide association studies-identified genetic determinants in PC patients, given their clinical implications.
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Affiliation(s)
- Sofia Coelho Abreu
- Oncology Department, Portuguese Institute of Oncology, Porto, 4200 072, Portugal
| | - Valéria Tavares
- Molecular Oncology & Viral Pathology Group, Research Center of Portuguese Institute of Oncology, Porto, 4200 072, Portugal.,Research Department, Portuguese League Against Cancer of Northern Region, Porto, 4200 172, Portugal
| | - Filipa Carneiro
- Oncology Department, Portuguese Institute of Oncology, Porto, 4200 072, Portugal
| | - Rui Medeiros
- Molecular Oncology & Viral Pathology Group, Research Center of Portuguese Institute of Oncology, Porto, 4200 072, Portugal.,Research Department, Portuguese League Against Cancer of Northern Region, Porto, 4200 172, Portugal.,Faculty of Health Sciences, CEBIMED, Fernando Pessoa University, Porto, 4200 150, Portugal
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12
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Goddard PC, Keys KL, Mak ACY, Lee EY, Liu AK, Samedy-Bates LA, Risse-Adams O, Contreras MG, Elhawary JR, Hu D, Huntsman S, Oh SS, Salazar S, Eng C, Himes BE, White MJ, Burchard EG. Integrative genomic analysis in African American children with asthma finds three novel loci associated with lung function. Genet Epidemiol 2021; 45:190-208. [PMID: 32989782 PMCID: PMC7902343 DOI: 10.1002/gepi.22365] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/06/2020] [Revised: 08/21/2020] [Accepted: 09/14/2020] [Indexed: 11/06/2022]
Abstract
Bronchodilator (BD) drugs are commonly prescribed for treatment and management of obstructive lung function present with diseases such as asthma. Administration of BD medication can partially or fully restore lung function as measured by pulmonary function tests. The genetics of baseline lung function measures taken before BD medication have been extensively studied, and the genetics of the BD response itself have received some attention. However, few studies have focused on the genetics of post-BD lung function. To address this gap, we analyzed lung function phenotypes in 1103 subjects from the Study of African Americans, Asthma, Genes, and Environment, a pediatric asthma case-control cohort, using an integrative genomic analysis approach that combined genotype, locus-specific genetic ancestry, and functional annotation information. We integrated genome-wide association study (GWAS) results with an admixture mapping scan of three pulmonary function tests (forced expiratory volume in 1 s [FEV1 ], forced vital capacity [FVC], and FEV1 /FVC) taken before and after albuterol BD administration on the same subjects, yielding six traits. We identified 18 GWAS loci, and five additional loci from admixture mapping, spanning several known and novel lung function candidate genes. Most loci identified via admixture mapping exhibited wide variation in minor allele frequency across genotyped global populations. Functional fine-mapping revealed an enrichment of epigenetic annotations from peripheral blood mononuclear cells, fetal lung tissue, and lung fibroblasts. Our results point to three novel potential genetic drivers of pre- and post-BD lung function: ADAMTS1, RAD54B, and EGLN3.
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Affiliation(s)
- Pagé C. Goddard
- Department of Genetics, Stanford University, Stanford, California, USA
- Department of Medicine, University of California, San Francisco, California, USA
| | - Kevin L. Keys
- Department of Medicine, University of California, San Francisco, California, USA
- Berkeley Institute for Data Science, University of California, Berkeley, California, USA
| | - Angel C. Y. Mak
- Department of Medicine, University of California, San Francisco, California, USA
| | - Eunice Y. Lee
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
| | - Amy K. Liu
- Department of Neurology, University of California, San Francisco, California, USA
| | - Lesly-Anne Samedy-Bates
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
| | - Oona Risse-Adams
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Biology, University of California, Santa Cruz, California, USA
| | - María G. Contreras
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Biology, San Francisco State University, San Francisco, California, USA
| | - Jennifer R. Elhawary
- Department of Medicine, University of California, San Francisco, California, USA
| | - Donglei Hu
- Department of Medicine, University of California, San Francisco, California, USA
| | - Scott Huntsman
- Department of Medicine, University of California, San Francisco, California, USA
| | - Sam S. Oh
- Department of Medicine, University of California, San Francisco, California, USA
| | - Sandra Salazar
- Department of Medicine, University of California, San Francisco, California, USA
| | - Celeste Eng
- Department of Medicine, University of California, San Francisco, California, USA
| | - Blanca E. Himes
- Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Marquitta J. White
- Department of Medicine, University of California, San Francisco, California, USA
| | - Esteban G. Burchard
- Department of Medicine, University of California, San Francisco, California, USA
- Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, California, USA
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13
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Decker BM, Hill CE, Baldassano SN, Khankhanian P. Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches. Seizure 2021; 85:138-144. [PMID: 33461032 DOI: 10.1016/j.seizure.2020.11.011] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2020] [Revised: 11/16/2020] [Accepted: 11/17/2020] [Indexed: 12/16/2022] Open
Abstract
As automated data extraction and natural language processing (NLP) are rapidly evolving, improving healthcare delivery by harnessing large data is garnering great interest. Assessing antiepileptic drug (AED) efficacy and other epilepsy variables pertinent to healthcare delivery remain a critical barrier to improving patient care. In this systematic review, we examined automatic electronic health record (EHR) extraction methodologies pertinent to epilepsy. We also reviewed more generalizable NLP pipelines to extract other critical patient variables. Our review found varying reports of performance measures. Whereas automated data extraction pipelines are a crucial advancement, this review calls attention to standardizing NLP methodology and accuracy reporting for greater generalizability. Moreover, the use of crowdsourcing competitions to spur innovative NLP pipelines would further advance this field.
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Affiliation(s)
- Barbara M Decker
- Center for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, United States.
| | - Chloé E Hill
- Department of Neurology, University of Michigan, 1500 East Medical Center Drive, Ann Arbor, MI, 48109, United States
| | - Steven N Baldassano
- Center for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, United States
| | - Pouya Khankhanian
- Center for Neuroengineering and Therapeutics, Department of Neurology, University of Pennsylvania, 3400 Spruce Street, Philadelphia, PA, 19104, United States
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14
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Kakkos SK, Gohel M, Baekgaard N, Bauersachs R, Bellmunt-Montoya S, Black SA, Ten Cate-Hoek AJ, Elalamy I, Enzmann FK, Geroulakos G, Gottsäter A, Hunt BJ, Mansilha A, Nicolaides AN, Sandset PM, Stansby G, Esvs Guidelines Committee, de Borst GJ, Bastos Gonçalves F, Chakfé N, Hinchliffe R, Kolh P, Koncar I, Lindholt JS, Tulamo R, Twine CP, Vermassen F, Wanhainen A, Document Reviewers, De Maeseneer MG, Comerota AJ, Gloviczki P, Kruip MJHA, Monreal M, Prandoni P, Vega de Ceniga M. Editor's Choice - European Society for Vascular Surgery (ESVS) 2021 Clinical Practice Guidelines on the Management of Venous Thrombosis. Eur J Vasc Endovasc Surg 2020; 61:9-82. [PMID: 33334670 DOI: 10.1016/j.ejvs.2020.09.023] [Citation(s) in RCA: 298] [Impact Index Per Article: 74.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
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15
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Shet AS, Lizarralde-Iragorri MA, Naik RP. The molecular basis for the prothrombotic state in sickle cell disease. Haematologica 2020; 105:2368-2379. [PMID: 33054077 PMCID: PMC7556662 DOI: 10.3324/haematol.2019.239350] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Accepted: 07/22/2020] [Indexed: 12/15/2022] Open
Abstract
The genetic and molecular basis of sickle cell disease (SCD) has long since been characterized but the pathophysiological basis is not entirely defined. How a red cell hemolytic disorder initiates inflammation, endothelial dysfunction, coagulation activation and eventually leads to vascular thrombosis, is yet to be elucidated. Recent evidence has demonstrated a high frequency of unprovoked/recurrent venous thromboembolism (VTE) in SCD, with an increased risk of mortality among patients with a history of VTE. Here, we thoroughly review the molecular basis for the prothrombotic state in SCD, specifically highlighting emerging evidence for activation of overlapping inflammation and coagulation pathways, that predispose to venous thromboembolism. We share perspectives in managing venous thrombosis in SCD, highlighting innovative therapies with the potential to influence the clinical course of disease and reduce thrombotic risk, while maintaining an acceptable safety profile.
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Affiliation(s)
- Arun S. Shet
- Laboratory of Sickle Thrombosis and Vascular Biology, National Heart, Lung, and Blood Institute, NIH, Bethesda
| | | | - Rakhi P. Naik
- Division of Hematology, Department of Medicine, Johns Hopkins University, Baltimore, MD, USA
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16
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Zöller B, Svensson PJ, Dahlbäck B, Lind-Hallden C, Hallden C, Elf J. Genetic risk factors for venous thromboembolism. Expert Rev Hematol 2020; 13:971-981. [DOI: 10.1080/17474086.2020.1804354] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
Affiliation(s)
- Bengt Zöller
- Center for Primary Health Care Research, Lund University, Malmö, Sweden
| | - Peter J. Svensson
- Center for Thrombosis and Haemostasis, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Björn Dahlbäck
- Department of Translational Medicine, Lund University, Skåne University Hospital, Malmö, Sweden
| | - Christina Lind-Hallden
- Department of Environmental Science and Bioscience, Kristianstad University, Kristianstad, Sweden
| | - Christer Hallden
- Department of Environmental Science and Bioscience, Kristianstad University, Kristianstad, Sweden
| | - Johan Elf
- Center for Thrombosis and Haemostasis, Lund University, Skåne University Hospital, Malmö, Sweden
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17
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Tavares V, Pinto R, Assis J, Pereira D, Medeiros R. Venous thromboembolism GWAS reported genetic makeup and the hallmarks of cancer: Linkage to ovarian tumour behaviour. Biochim Biophys Acta Rev Cancer 2020; 1873:188331. [DOI: 10.1016/j.bbcan.2019.188331] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/19/2019] [Revised: 11/01/2019] [Accepted: 11/01/2019] [Indexed: 12/14/2022]
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18
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Lindström S, Wang L, Smith EN, Gordon W, van Hylckama Vlieg A, de Andrade M, Brody JA, Pattee JW, Haessler J, Brumpton BM, Chasman DI, Suchon P, Chen MH, Turman C, Germain M, Wiggins KL, MacDonald J, Braekkan SK, Armasu SM, Pankratz N, Jackson RD, Nielsen JB, Giulianini F, Puurunen MK, Ibrahim M, Heckbert SR, Damrauer SM, Natarajan P, Klarin D, de Vries PS, Sabater-Lleal M, Huffman JE, Bammler TK, Frazer KA, McCauley BM, Taylor K, Pankow JS, Reiner AP, Gabrielsen ME, Deleuze JF, O'Donnell CJ, Kim J, McKnight B, Kraft P, Hansen JB, Rosendaal FR, Heit JA, Psaty BM, Tang W, Kooperberg C, Hveem K, Ridker PM, Morange PE, Johnson AD, Kabrhel C, Trégouët DA, Smith NL. Genomic and transcriptomic association studies identify 16 novel susceptibility loci for venous thromboembolism. Blood 2019; 134:1645-1657. [PMID: 31420334 PMCID: PMC6871304 DOI: 10.1182/blood.2019000435] [Citation(s) in RCA: 132] [Impact Index Per Article: 26.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2019] [Accepted: 07/17/2019] [Indexed: 12/29/2022] Open
Abstract
Venous thromboembolism (VTE) is a significant contributor to morbidity and mortality. To advance our understanding of the biology contributing to VTE, we conducted a genome-wide association study (GWAS) of VTE and a transcriptome-wide association study (TWAS) based on imputed gene expression from whole blood and liver. We meta-analyzed GWAS data from 18 studies for 30 234 VTE cases and 172 122 controls and assessed the association between 12 923 718 genetic variants and VTE. We generated variant prediction scores of gene expression from whole blood and liver tissue and assessed them for association with VTE. Mendelian randomization analyses were conducted for traits genetically associated with novel VTE loci. We identified 34 independent genetic signals for VTE risk from GWAS meta-analysis, of which 14 are newly reported associations. This included 11 newly associated genetic loci (C1orf198, PLEK, OSMR-AS1, NUGGC/SCARA5, GRK5, MPHOSPH9, ARID4A, PLCG2, SMG6, EIF5A, and STX10) of which 6 replicated, and 3 new independent signals in 3 known genes. Further, TWAS identified 5 additional genetic loci with imputed gene expression levels differing between cases and controls in whole blood (SH2B3, SPSB1, RP11-747H7.3, RP4-737E23.2) and in liver (ERAP1). At some GWAS loci, we found suggestive evidence that the VTE association signal for novel and previously known regions colocalized with expression quantitative trait locus signals. Mendelian randomization analyses suggested that blood traits may contribute to the underlying risk of VTE. To conclude, we identified 16 novel susceptibility loci for VTE; for some loci, the association signals are likely mediated through gene expression of nearby genes.
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Affiliation(s)
- Sara Lindström
- Department of Epidemiology, University of Washington, Seattle, WA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Lu Wang
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Erin N Smith
- Department of Pediatrics and Rady Children's Hospital, University of California San Diego, La Jolla, CA
- K.G. Jebsen Thrombosis Research and Expertise Center, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
| | - William Gordon
- Department of Epidemiology, University of Washington, Seattle, WA
| | | | | | - Jennifer A Brody
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - Jack W Pattee
- Division of Biostatistics, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Jeffrey Haessler
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Ben M Brumpton
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
- Medical Research Council Integrative Epidemiology Unit, University of Bristol, Bristol, United Kingdom
- Clinic of Thoracic and Occupational Medicine, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway
| | - Daniel I Chasman
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Pierre Suchon
- Laboratory of Haematology, La Timone Hospital, Marseille, France
- Center for CardioVascular and Nutrition research (C2VN), Universite Aix-Marseille, Institut National de la Recherche Agronomique (INRA), INSERM, Marseille, France
| | - Ming-Huei Chen
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Constance Turman
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Marine Germain
- INSERM UMR_S 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Kerri L Wiggins
- Cardiovascular Health Research Unit, Department of Medicine, University of Washington, Seattle, WA
| | - James MacDonald
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Sigrid K Braekkan
- K.G. Jebsen Thrombosis Research and Expertise Center, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
- Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway
| | | | - Nathan Pankratz
- Department of Laboratory Medicine and Pathology, School of Medicine, University of Minnesota, Minneapolis, MN
| | - Rebecca D Jackson
- Division of Endocrinology, Diabetes, and Metabolism, The Ohio State University, Columbus OH
| | - Jonas B Nielsen
- Division of Cardiology, Department of Internal Medicine, University of Michigan Medical School, Ann Arbor, MI
| | - Franco Giulianini
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
| | | | - Manal Ibrahim
- Laboratory of Haematology, La Timone Hospital, Marseille, France
| | - Susan R Heckbert
- Department of Epidemiology, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
| | - Scott M Damrauer
- Department of Surgery, Corporal Michael Crescenz VA Medical Center, Philadelphia, PA
- Department of Surgery, Perleman School of Medicine, University of Pennsylvania, Philadelphia, PA
| | - Pradeep Natarajan
- Boston VA Healthcare System, Boston, MA
- Cardiovascular Research Center and Center for Genomic Medicine, Massachusetts General Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
- Program in Medical and Population Genetics, Broad Institute of Harvard and MIT, Cambridge, MA
| | - Derek Klarin
- Boston VA Healthcare System, Boston, MA
- Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA
- Department of Surgery, Massachusetts General Hospital, Boston, MA
| | - Paul S de Vries
- Human Genetics Center, Department of Epidemiology, Human Genetics, and Environmental Sciences, School of Public Health, The University of Texas Health Science Center at Houston, Houston, TX
| | - Maria Sabater-Lleal
- Unit of Genomics of Complex Diseases, Institut de Recerca de l'Hospital de Sant Pau, IIB-Sant Pau, Barcelona, Spain
- Cardiovascular Medicine Unit, Department of Medicine, Karolinska Institutet, Center for Molecular Medicine, Karolinska University Hospital, Stockholm, Sweden
| | - Jennifer E Huffman
- Center for Population Genomics, MAVERIC, VA Boston Healthcare System, Boston, MA
| | - Theo K Bammler
- Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA
| | - Kelly A Frazer
- Department of Pediatrics and Rady Children's Hospital, University of California San Diego, La Jolla, CA
- K.G. Jebsen Thrombosis Research and Expertise Center, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
- Institute of Genomic Medicine, University of California San Diego, La Jolla, CA
| | - Bryan M McCauley
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Kent Taylor
- Los Angeles Biomedical Research Institute and Department of Pediatrics, Harbor-University of California Los Angeles Medical Center, Torrence CA
| | - James S Pankow
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Alexander P Reiner
- Department of Epidemiology, University of Washington, Seattle, WA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Maiken E Gabrielsen
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Jean-François Deleuze
- Centre National de Recherche en Génomique Humaine, Direction de la Recherche Fondamentale, Le Commissariat à l'énergie atomique et aux énergies alternatives, Evry, France
- The Centre d'Etude du Polymorphism Humain (CEPH), Fondation Jean Dausset, Paris, France
| | - Chris J O'Donnell
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
- Million Veteran Program, Veteran's Administration, Boston, MA
| | - Jihye Kim
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Barbara McKnight
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
- Department of Biostatistics, University of Washington, Seattle, WA
| | - Peter Kraft
- Program in Genetic Epidemiology and Statistical Genetics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - John-Bjarne Hansen
- K.G. Jebsen Thrombosis Research and Expertise Center, Department of Clinical Medicine, UiT-The Arctic University of Norway, Tromsø, Norway
- Division of Internal Medicine, University Hospital of North Norway, Tromsø, Norway
| | - Frits R Rosendaal
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - John A Heit
- Department of Health Sciences Research, Mayo Clinic, Rochester, MN
| | - Bruce M Psaty
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
- Cardiovascular Health Research Unit, Departments of Medicine, Epidemiology, and Health Services, University of Washington, Seattle, WA
| | - Weihong Tang
- Division of Epidemiology and Community Health, School of Public Health, University of Minnesota, Minneapolis, MN
| | - Charles Kooperberg
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA
| | - Kristian Hveem
- K.G. Jebsen Center for Genetic Epidemiology, Department of Public Health and Nursing, NTNU, Norwegian University of Science and Technology, Trondheim, Norway
| | - Paul M Ridker
- Division of Preventive Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Medicine, Harvard Medical School, Boston, MA
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, Marseille, France
- Center for CardioVascular and Nutrition research (C2VN), Universite Aix-Marseille, Institut National de la Recherche Agronomique (INRA), INSERM, Marseille, France
- Centre de Ressources Biologiques Assistance Publique-Hôpitaux de Marseille, HemoVasc, Marseille, France
| | - Andrew D Johnson
- Population Sciences Branch, National Heart, Lung, and Blood Institute, National Institutes of Health, Framingham, MA
- The Framingham Heart Study, Framingham, MA
| | - Christopher Kabrhel
- Center for Vascular Emergencies, Department of Emergency Medicine, Massachusetts General Hospital, Boston, MA
- Channing Division of Network Medicine, Brigham and Women's Hospital, Boston, MA
- Department of Emergency Medicine, Harvard Medical School, Boston, MA; and
| | - David-Alexandre Trégouët
- INSERM UMR_S 1219, Bordeaux Population Health Research Center, University of Bordeaux, Bordeaux, France
| | - Nicholas L Smith
- Department of Epidemiology, University of Washington, Seattle, WA
- Kaiser Permanente Washington Health Research Institute, Kaiser Permanente Washington, Seattle, WA
- Seattle Epidemiologic Research and Information Center, Department of Veterans Affairs Office of Research and Development, Seattle, WA
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19
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Yue Y, Sun Q, Xiao L, Liu S, Huang Q, Wang M, Huo M, Yang M, Fu Y. Association of SERPINC1 Gene Polymorphism (rs2227589) With Pulmonary Embolism Risk in a Chinese Population. Front Genet 2019; 10:844. [PMID: 31572449 PMCID: PMC6753222 DOI: 10.3389/fgene.2019.00844] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/29/2019] [Accepted: 08/14/2019] [Indexed: 12/17/2022] Open
Abstract
Background and Aims: Genetic variants in the gene SERPINC1 have been shown to be associated with antithrombin deficiency, which subsequently contributes to the susceptibility to venous thrombosis. However, several other studies have shown conflicting results regarding the association of SERPINC1 gene polymorphisms (rs2227589) with the risk of thrombosis. Hence, in the present study, we conducted a case-control study to further evaluate the association between the variant rs2227589 with antithrombin deficiency in pulmonary embolism (PTE). A pooled systematic analysis was also conducted to evaluate the risk of rs2227589 in venous thromboembolism (VTE) among multiple populations. Methods: This case-control study involved 101 patients and 199 healthy controls. The allele frequency of SERPINC1 variant rs2227589 was analyzed by Sequenom assay. Antithrombin anticoagulant activity was detected using an automatic coagulation analyzer. In addition, a pooled systematic analysis on 10 cohorts consisting of 5,518 patients with VTE and 8,935 controls was performed. Results: In total, 27 (26.7%) PTE subjects were diagnosed as having antithrombin deficiency. Our results showed that antithrombin plasma activity was slightly lower in T allele carriers than that in C allele carriers. However, there was no significant correlation between rs2227589 genotype and antithrombin anticoagulant activity. The recessive model showed that rs2227589 was significantly associated (p = 0.026) with an increased risk {odds ratio [OR]: 2.31, 95% confidence interval [CI] (1.09-4.89)} of Chinese PTE. The pooled systematic analysis of all case-control study and meta-analysis showed that rs2227589 polymorphism was associated with an increased risk of VTE in the additive model [OR: 1.09, 95% CI (1.01-1.18), P = 0.029] and dominant model [OR: 1.10, 95% CI (1.01-1.20), P = 0.034]. Conclusions: Our study demonstrated that variant rs2227589 is associated with an increased risk of PTE in a Chinese population but no correlation with antithrombin anticoagulant activity. However, pooled systematic analysis of multiple populations showed a significant association between rs2227589 and the risk of VTE in the additive and dominant genetic model.
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Affiliation(s)
- Yongjian Yue
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Qing Sun
- Shenzhen Key Laboratory of Reproductive Immunology for Peri-implantation, Fertility Center, Shenzhen Zhongshan Urology Hospital, Shenzhen, China
| | - Lu Xiao
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China.,Research Centre, The Seventh affiliated Hospital of Sun Yat-sen University, Shenzhen, China
| | - Shengguo Liu
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Qijun Huang
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Minlian Wang
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Mei Huo
- Department of Clinical Laboratory, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Mo Yang
- Department of Clinical Laboratory, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
| | - Yingyun Fu
- Key Laboratory of Shenzhen Respiratory Diseases, Department of Pulmonary and Critical Care Medicine, Shenzhen Institute of Respiratory Disease, The First Affiliated Hospital of Southern University of Science and Technology, The Second Clinical Medical College of Jinan University, Shenzhen People's Hospital, Shenzhen, China
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20
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Wang Y, Bromberg Y. Identifying mutation-driven changes in gene functionality that lead to venous thromboembolism. Hum Mutat 2019; 40:1321-1329. [PMID: 31144782 PMCID: PMC6745089 DOI: 10.1002/humu.23824] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2019] [Revised: 04/26/2019] [Accepted: 05/27/2019] [Indexed: 12/14/2022]
Abstract
Venous thromboembolism (VTE) is a common hematological disorder. VTE affects millions of people around the world each year and can be fatal. Earlier studies have revealed the possible VTE genetic risk factors in Europeans. The 2018 Critical Assessment of Genome Interpretation (CAGI) challenge had asked participants to distinguish between 66 VTE and 37 non-VTE African American (AA) individuals based on their exome sequencing data. We used variants from AA VTE association studies and VTE genes from DisGeNET database to evaluate VTE risk via four different approaches; two of these methods were most successful at the task. Our best performing method represented each exome as a vector of predicted functional effect scores of variants within the known genes. These exome vectors were then clustered with k-means. This approach achieved 70.8% precision and 69.7% recall in identifying VTE patients. Our second-best ranked method had collapsed the variant effect scores into gene-level function changes, using the same vector clustering approach for patient/control identification. These results show predictability of VTE risk in AA population and highlight the importance of variant-driven gene functional changes in judging disease status. Of course, more in-depth understanding of AA VTE pathogenicity is still needed for more precise predictions.
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Affiliation(s)
- Yanran Wang
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey
| | - Yana Bromberg
- Department of Biochemistry and Microbiology, Rutgers University, New Brunswick, New Jersey
- Department of Genetics, Rutgers University, New Brunswick, New Jersey
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21
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Rarrick C, Saccone N, Hebbard A, Jones B. Assessing the Rate of Antipsychotic Use in Ambulatory Care Patients With a Venous Thromboembolism. Ann Pharmacother 2019; 54:97-104. [PMID: 31416330 DOI: 10.1177/1060028019870874] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022] Open
Abstract
Background: Evidence regarding the use of antipsychotics and associated venous thromboembolism (VTE) risk is inconclusive. Studies finding a relationship lack in-depth analysis; thus, the VTE risk among those treated with antipsychotic remains largely unknown. Objectives: The primary objective of this investigation was to compare the incidence of antipsychotic use in patients who developed a VTE versus those who did not. Methods: Data were collected via retrospective chart review from an ambulatory care clinic between January 2012 and August 2017. All active clinic patients within the study period were included unless they met the following criteria: age <18 years, pregnancy within the study period, and/or current or historical malignancy. The odds ratio (OR) of developing a VTE was determined using multivariate regression analysis controlling for age, gender, obesity, and smoking. Secondary end points were reviewed for participants who were exposed to an antipsychotic and subsequently developed a VTE within the study period. Results: A total of 7079 patients were included in the analysis, of whom 314 developed a VTE. Of these, 45 were exposed to an antipsychotic prior to VTE development. Nearly 25% of patients receiving an antipsychotic did not have a primary psychiatric diagnosis. Results suggest that antipsychotic use was significantly associated with increased risk of VTE development (OR = 1.481 [95% CI = 1.067 to 2.055]). Conclusion and Relevance: The results of this study suggest an association between antipsychotic use and VTE development. This association should be considered when prescribing antipsychotics and treating patients who develop a VTE after antipsychotic exposure.
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Affiliation(s)
| | - Nicole Saccone
- Medical University of South Carolina (MUSC), Charleston, SC, USA
| | - Amy Hebbard
- Medical University of South Carolina (MUSC), Charleston, SC, USA
| | - Brittany Jones
- Medical University of South Carolina (MUSC), Charleston, SC, USA
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22
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Abstract
Biomedical data science has experienced an explosion of new data over the past decade. Abundant genetic and genomic data are increasingly available in large, diverse data sets due to the maturation of modern molecular technologies. Along with these molecular data, dense, rich phenotypic data are also available on comprehensive clinical data sets from health care provider organizations, clinical trials, population health registries, and epidemiologic studies. The methods and approaches for interrogating these large genetic/genomic and clinical data sets continue to evolve rapidly, as our understanding of the questions and challenges continue to emerge. In this review, the state-of-the-art methodologies for genetic/genomic analysis along with complex phenomics will be discussed. This field is changing and adapting to the novel data types made available, as well as technological advances in computation and machine learning. Thus, I will also discuss the future challenges in this exciting and innovative space. The promises of precision medicine rely heavily on the ability to marry complex genetic/genomic data with clinical phenotypes in meaningful ways.
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Affiliation(s)
- Marylyn D. Ritchie
- Department of Genetics and Institute for Biomedical Informatics, Perelman School of Medicine, University of Pennsylvania, Philadelphia, Pennsylvania 19104, USA
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23
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Allyn-Feuer A, Ade A, Luzum JA, Higgins GA, Athey BD. The pharmacoepigenomics informatics pipeline defines a pathway of novel and known warfarin pharmacogenomics variants. Pharmacogenomics 2018; 19:413-434. [PMID: 29400612 PMCID: PMC6021929 DOI: 10.2217/pgs-2017-0186] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2017] [Accepted: 01/16/2018] [Indexed: 12/21/2022] Open
Abstract
AIM 'Pharmacoepigenomics' methods informed by omics datasets and pre-existing knowledge have yielded discoveries in neuropsychiatric pharmacogenomics. Now we evaluate the generality of these methods by discovering an extended warfarin pharmacogenomics pathway. MATERIALS & METHODS We developed the pharmacoepigenomics informatics pipeline, a scalable multi-omics variant screening pipeline for pharmacogenomics, and conducted an experiment in the genomics of warfarin. RESULTS We discovered known and novel pharmacogenomics variants and genes, both coding and regulatory, for warfarin response, including adverse events. Such genes and variants cluster in a warfarin response pathway consolidating known and novel warfarin response variants and genes. CONCLUSION These results can inform a new warfarin test. The pharmacoepigenomics informatics pipeline may be able to discover new pharmacogenomics markers in other drug-disease systems.
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Affiliation(s)
- Ari Allyn-Feuer
- Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Alex Ade
- Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Jasmine A Luzum
- Department of Clinical Pharmacy, College of Pharmacy, University of Michigan, Ann Arbor, MI 48109, USA
| | - Gerald A Higgins
- Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
| | - Brian D Athey
- Department of Computational Medicine & Bioinformatics, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI 48109, USA
- Department of Psychiatry, University of Michigan Medical School, Ann Arbor, MI 48109, USA
- Michigan Institute for Data Science, University of Michigan Office of Research, Ann Arbor, MI 48109, USA
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24
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Hindorff LA, Bonham VL, Brody LC, Ginoza MEC, Hutter CM, Manolio TA, Green ED. Prioritizing diversity in human genomics research. Nat Rev Genet 2018; 19:175-185. [PMID: 29151588 PMCID: PMC6532668 DOI: 10.1038/nrg.2017.89] [Citation(s) in RCA: 242] [Impact Index Per Article: 40.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Recent studies have highlighted the imperatives of including diverse and under-represented individuals in human genomics research and the striking gaps in attaining that inclusion. With its multidecade experience in supporting research and policy efforts in human genomics, the National Human Genome Research Institute is committed to establishing foundational approaches to study the role of genomic variation in health and disease that include diverse populations. Large-scale efforts to understand biology and health have yielded key scientific findings, lessons and recommendations on how to increase diversity in genomic research studies and the genomic research workforce. Increased attention to diversity will increase the accuracy, utility and acceptability of using genomic information for clinical care.
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Affiliation(s)
- Lucia A Hindorff
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Vence L Bonham
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Lawrence C Brody
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Margaret E C Ginoza
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Carolyn M Hutter
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Teri A Manolio
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
| | - Eric D Green
- National Human Genome Research Institute, National Institutes of Health, Bethesda, Maryland 20892-2152, USA
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25
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Trégouët DA, Morange PE. What is currently known about the genetics of venous thromboembolism at the dawn of next generation sequencing technologies. Br J Haematol 2018; 180:335-345. [PMID: 29082522 DOI: 10.1111/bjh.15004] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Venous thromboembolism (VTE) has a strong genetic component. This review summarizes what is known at the seventeen genes that are now well established to harbour VTE-associated genetic variants. In addition, it discusses additional candidate genes that deserve further validation before being claimed as VTE associated genes. Finally, several research strategies are briefly described to identify other molecular determinants of the disease.
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Affiliation(s)
- David-Alexandre Trégouët
- Department of Genomics & Pathophysiology of Cardiovascular Diseases, Sorbonne Universités, UPMC Univ. Paris 06, Institut National pour la Santé et la Recherche Médicale (INSERM), Unité Mixte de Recherche en Santé (UMR_S) 1166, Paris, France
- ICAN Institute for Cardiometabolism and Nutrition, Paris, France
| | - Pierre-Emmanuel Morange
- Laboratory of Haematology, La Timone Hospital, Marseille, France
- INSERM UMR_S 1062, Nutrition Obesity and Risk of Thrombosis, Aix-Marseille University, Marseille, France
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26
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Identification of Genetic Interaction with Risk Factors Using a Time-To-Event Model. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2017; 14:ijerph14101228. [PMID: 29036934 PMCID: PMC5664729 DOI: 10.3390/ijerph14101228] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/18/2017] [Revised: 10/09/2017] [Accepted: 10/11/2017] [Indexed: 11/18/2022]
Abstract
Background: Certain diseases can occur with and without a trigger. We use Venous Thromboembolism (VTE) as our example to identify genetic interaction with pregnancy in women with VTE during pre- or postpartum. Pregnancy is one of the major risk factors for VTE as it accounts for 10% of maternal deaths. Methods: We performed a whole genome association analysis using the Cox Proportional Hazard (CoxPH) model adjusted for covariates to identify genetic variants associated with the time-to-event of VTE related to pre- or postpartum during the childbearing age of 18–45 years using a case-only design in a cohort of women with VTE. Women with a VTE event after 45 years of age were censored and contributed only follow-up time. Results: We identified two intragenic single nucleotide polymorphisms (SNPs) at genome-wide significance in the PURB gene located on chromosome 7, and two additional intragenic SNPs, one in the LINGO2 gene on chromosome 9 and one in RDXP2 on chromosome X. Conclusions: We showed that the time-to-event model is a useful approach for identifying potential hazard-modification of the genetic variants when the event of interest (VTE) occurs due to a risk factor (pre- or post-partum).
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