subject:(EWAS)

University of California – Berkeley

1. Yousefi, Paul Darius. Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort.

Degree: Environmental Health Sciences, 2016, University of California – Berkeley

URL: http://www.escholarship.org/uc/item/0p1563vg

► Epigenetic mechanisms, particularly DNA methylation, are a possible link between environmental and biological determinants of health. As the DNA methylome undergoes rearrangement in utero and… (more)

▼ Epigenetic mechanisms, particularly DNA methylation, are a possible link between environmental and biological determinants of health. As the DNA methylome undergoes rearrangement in utero and is susceptible to environmental insults, it may be a mechanism explaining the developmental origins of human disease with public health importance. However, the epidemiologic studies needed to identify the role DNA methylation plays mediating environmental exposure disease risk still face several obstacles. This dissertation addresses knowledge gaps impeding the rigorous adoption of genome-scale measures of site-specific DNA methylation, like the Illumina Infinium HumanMethylation450 (450K) BeadChip®, into epidemiologic study designs. We then investigate the impact of prenatal exposure to polybrominated diphenyl ethers (PBDEs) on DNA methylation of children at birth. PBDEs are a class of flame retardant chemicals widely used in U.S. consumer products over the last 40 years that have previously been associated with adverse neurobehavioral outcomes, obesity, and other effects.Specifically, we aimed to:1) Identify and minimize sources of technical variation for site-specific DNA methylation measured by 450K BeadChip assay in epidemiologic studies2) Characterize sources of biological variation due to host factors (e.g. blood cell composition and sex) in measures of whole blood DNA methylation at birth3) Determine whether prenatal exposure to PBDEs is associated with differential methylation patterns of CpG sites in umbilical cord bloodOur results identified that the newly proposed All Sample Mean Normalization (ASMN) procedure performed consistently well, both at reducing batch effects and improving replicate comparability compared to several other leading normalization methods. It can be successfully implemented in epidemiologic studies to enhance 450K DNA methylation data preprocessing.In our examination biological variation, we found that a standard approach in epigenome-wide analysis – minfi white blood cell composition estimation – did not correlate well with white cell counts from newborns (ρ = -0.05 for granulocytes; ρ = -0.03 for lymphocytes), but improved substantially (ρ = 0.77 for granulocytes; ρ = 0.75 for lymphocytes) in older children likely due to increasing similarity with minfi’s adult reference data as children aged. This suggests that minfi may not currently be appropriate for analysis involving newborns or young children. Additionally, results on DNA methylation differences by sex identified 3,031 differentially methylated positions (DMPs) and 3,604 sex-associated differentially methylated regions (DMRs) on autosomes that were mostly hypermethylated in girls compared to boys. Our hits were significantly enriched for gene ontology terms related to nervous system development and behavior.Finally, we investigated the impact of exposure to PBDEs during the highly susceptible prenatal period on DNA methylation of Mexican-American children enrolled in the Center for Health Assessment of Mothers and Children of…

Subjects/Keywords: Environmental health; Developmental biology; 450K; Birth cohort; Differentially methylated regions; Environmental chemicals; Epigenetics; EWAS

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Yousefi, P. D. (2016). Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort. (Thesis). University of California – Berkeley. Retrieved from http://www.escholarship.org/uc/item/0p1563vg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Yousefi, Paul Darius. “Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort.” 2016. Thesis, University of California – Berkeley. Accessed April 17, 2021. http://www.escholarship.org/uc/item/0p1563vg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Yousefi, Paul Darius. “Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort.” 2016. Web. 17 Apr 2021.

Vancouver:

Yousefi PD. Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort. [Internet] [Thesis]. University of California – Berkeley; 2016. [cited 2021 Apr 17]. Available from: http://www.escholarship.org/uc/item/0p1563vg.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yousefi PD. Determinants of Cord Blood DNA Methylation Variability in a Mexican-American Birth Cohort. [Thesis]. University of California – Berkeley; 2016. Available from: http://www.escholarship.org/uc/item/0p1563vg

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Penn State University

2. Hall, Molly Ann. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.

Degree: 2015, Penn State University

URL: https://submit-etda.libraries.psu.edu/catalog/26751

► Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with… (more)

▼ Genome-wide association studies (GWAS) have identified numerous loci associated with human phenotypes. This approach, however, does not consider the richly diverse and complex environment with which humans interact throughout the life course, nor does it allow for interrelationships among genetic loci and across traits. Methods that embrace pleiotropy (the effect of one locus on more than one trait), gene-environment (GxE) and gene-gene (GxG) interactions will further unveil the impact of alterations in biological pathways and identify genes that are only involved with disease in the context of the environment. This valuable information can be used to assess personal risk and choose the most appropriate medical interventions based on an individual’s genotype and environment. Additionally, a richer picture of the genetic and environmental aspects that impact complex disease will inform environmental regulations to protect vulnerable populations. Three key limitations of GWAS lead to an inability to robustly model trait prediction in a manner that reflects biological complexity: 1) GWAS explore traits in isolation, one phenotype at a time, preventing investigators from uncovering relationships that exist among multiple traits; 2) GWAS do not account for the exposome; rather, they simply explore the effect of genetic loci on an outcome; and 3) GWAS do not allow for interactions between genetic loci, despite the complexity that exists in biology. The aims described in this dissertation address these limitations. Methods employed in each aim have the potential to: uncover genetic interactions, unveil complex biology behind phenotype networks, inform public policy decisions concerning environmental exposures, and ultimately assess individual disease-risk. Advisors/Committee Members: Marylyn Deriggi Ritchie, Dissertation Advisor/Co-Advisor, Marylyn Deriggi Ritchie, Committee Chair/Co-Chair, Santhosh Girirajan, Committee Chair/Co-Chair, Scott Brian Selleck, Committee Member, Ross Cameron Hardison, Committee Member, George H Perry, Committee Member, Catherine Mc Carty, Special Member.

Subjects/Keywords: gene-gene interactions; epistasis; PheWAS; phenome; EWAS; exposome; gene-environment interactions; complex traits

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APA (6^th Edition):

Hall, M. A. (2015). Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/26751

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Thesis, Penn State University. Accessed April 17, 2021. https://submit-etda.libraries.psu.edu/catalog/26751.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Hall, Molly Ann. “Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits.” 2015. Web. 17 Apr 2021.

Vancouver:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Internet] [Thesis]. Penn State University; 2015. [cited 2021 Apr 17]. Available from: https://submit-etda.libraries.psu.edu/catalog/26751.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Hall MA. Beyond genome-wide association studies (GWAS): Emerging methods for investigating complex associations for common traits. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/26751

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

3. Karlsson Linnér, R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior .

Degree: 2019, Vrije Universiteit Amsterdam

URL: http://hdl.handle.net/1871/56049

Subjects/Keywords: Social-science genetics; Behavior genetics; GWAS; EWAS

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Karlsson Linnér, R. (2019). Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior . (Doctoral Dissertation). Vrije Universiteit Amsterdam. Retrieved from http://hdl.handle.net/1871/56049

Chicago Manual of Style (16^th Edition):

Karlsson Linnér, R. “Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior .” 2019. Doctoral Dissertation, Vrije Universiteit Amsterdam. Accessed April 17, 2021. http://hdl.handle.net/1871/56049.

MLA Handbook (7^th Edition):

Karlsson Linnér, R. “Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior .” 2019. Web. 17 Apr 2021.

Vancouver:

Karlsson Linnér R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior . [Internet] [Doctoral dissertation]. Vrije Universiteit Amsterdam; 2019. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1871/56049.

Council of Science Editors:

Karlsson Linnér R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior . [Doctoral Dissertation]. Vrije Universiteit Amsterdam; 2019. Available from: http://hdl.handle.net/1871/56049

University of Melbourne

4. Li, Shuai. DNA methylation and breast cancer risk factors: insights from twin and family studies.

Degree: 2018, University of Melbourne

URL: http://hdl.handle.net/11343/214057

► DNA methylation, the most studied epigenetic mechanism regulating gene expression, has been thought to play a critical role in the aetiology of complex diseases and… (more)

▼ DNA methylation, the most studied epigenetic mechanism regulating gene expression, has been thought to play a critical role in the aetiology of complex diseases and traits, including breast cancer. Twin and family studies have investigated the unmeasured causes of DNA methylation variation; there are, however, several research gaps, such as interpreting the average heritability across sites as the heritability of genome-wide DNA methylation level and assuming DNA methylation variation across sites to have the same causes. Two DNA methylation features, genome-wide average DNA methylation (GWAM) and epigenetic age acceleration, are putatively associated with breast cancer risk. The causes of variation remain unknown for GWAM and have not been well investigated for epigenetic age acceleration. Understanding the potential causality between DNA methylation and conventional breast cancer risk factors, which has been rarely investigated for body mass index (BMI), mammographic density and smoking, might bring a better understanding of breast cancer aetiology. To address current research gaps, my thesis used DNA methylation data from multiple twin and family studies to investigate the causes of variation in GWAM, in site-specific DNA methylation and in epigenetic age acceleration, and to investigate the potential causality between DNA methylation and BMI, mammographic density and smoking with a novel analytic method using data for related individuals - Inference about Causation through Examination of FAmiliaL CONfounding (ICE FALCON). My thesis found that: a) genome-wide methylation level, measured as GWAM, is determined by prenatal environmental factors acting in utero, the effects of which last into old age, and by environmental factors shared by cohabitating family members, including spouse pairs (Chapter 4); b) site-specific variation DNA methylation has specific causes, and substantial variation is explained by measurement error and environmental factors (Chapter 5); c) evidence consistent with twin birth changing the intrauterine environment such that sibling pairs both born after a twin birth are correlated in DNA methylation while sibling pairs both born before a twin birth are not (Chapter 6); d) variation in epigenetic age acceleration is caused by shared environmental factors as well as genetic factors (Chapter 7); and e) BMI, mammographic dense area and smoking are associated with DNA methylation at several genetic loci, and these associations are likely due to the causal effects of the three factors on DNA methylation, the same conclusion to those made by Mendelian randomisation analysis (Chapters 8 to 10). The findings of my thesis suggest that DNA methylation appears to be fundamentally about the way the environment influences the way genes work. Although there might be methylation sites at which the variation has a genetic basis, these are rare. The effects of the environment can start from the time of conception, or at least while in the womb, and continue into adulthood. Some of those…

Subjects/Keywords: DNA methylation; epigenetics; breast cancer; twin studies; family studies; epigenome-wide association study (EWAS); causal inference

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Li, S. (2018). DNA methylation and breast cancer risk factors: insights from twin and family studies. (Doctoral Dissertation). University of Melbourne. Retrieved from http://hdl.handle.net/11343/214057

Chicago Manual of Style (16^th Edition):

Li, Shuai. “DNA methylation and breast cancer risk factors: insights from twin and family studies.” 2018. Doctoral Dissertation, University of Melbourne. Accessed April 17, 2021. http://hdl.handle.net/11343/214057.

MLA Handbook (7^th Edition):

Li, Shuai. “DNA methylation and breast cancer risk factors: insights from twin and family studies.” 2018. Web. 17 Apr 2021.

Vancouver:

Li S. DNA methylation and breast cancer risk factors: insights from twin and family studies. [Internet] [Doctoral dissertation]. University of Melbourne; 2018. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/11343/214057.

Council of Science Editors:

Li S. DNA methylation and breast cancer risk factors: insights from twin and family studies. [Doctoral Dissertation]. University of Melbourne; 2018. Available from: http://hdl.handle.net/11343/214057

5. Karlsson Linnér, R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior.

Degree: 2019, NARCIS

URL: https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41 ; urn:nbn:nl:ui:31-1871/56049 ; fc736194-ca17-4dd9-ad11-0653441f4f41 ; 1871/56049 ; urn:isbn:9789463753791 ; urn:nbn:nl:ui:31-1871/56049 ; https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41

Subjects/Keywords: Social-science genetics; Behavior genetics; GWAS; EWAS

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Karlsson Linnér, R. (2019). Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior. (Doctoral Dissertation). NARCIS. Retrieved from https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41 ; urn:nbn:nl:ui:31-1871/56049 ; fc736194-ca17-4dd9-ad11-0653441f4f41 ; 1871/56049 ; urn:isbn:9789463753791 ; urn:nbn:nl:ui:31-1871/56049 ; https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41

Chicago Manual of Style (16^th Edition):

Karlsson Linnér, R. “Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior.” 2019. Doctoral Dissertation, NARCIS. Accessed April 17, 2021. https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41 ; urn:nbn:nl:ui:31-1871/56049 ; fc736194-ca17-4dd9-ad11-0653441f4f41 ; 1871/56049 ; urn:isbn:9789463753791 ; urn:nbn:nl:ui:31-1871/56049 ; https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41.

MLA Handbook (7^th Edition):

Karlsson Linnér, R. “Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior.” 2019. Web. 17 Apr 2021.

Vancouver:

Karlsson Linnér R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior. [Internet] [Doctoral dissertation]. NARCIS; 2019. [cited 2021 Apr 17]. Available from: https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41 ; urn:nbn:nl:ui:31-1871/56049 ; fc736194-ca17-4dd9-ad11-0653441f4f41 ; 1871/56049 ; urn:isbn:9789463753791 ; urn:nbn:nl:ui:31-1871/56049 ; https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41.

Council of Science Editors:

Karlsson Linnér R. Discovering the genetic architecture of the mind: (Epi-)genome-wide association studies on human psychology and behavior. [Doctoral Dissertation]. NARCIS; 2019. Available from: https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41 ; urn:nbn:nl:ui:31-1871/56049 ; fc736194-ca17-4dd9-ad11-0653441f4f41 ; 1871/56049 ; urn:isbn:9789463753791 ; urn:nbn:nl:ui:31-1871/56049 ; https://research.vu.nl/en/publications/fc736194-ca17-4dd9-ad11-0653441f4f41

6. Padmanabhuni, Shanmukha Sampath. Computational methods of analysis for gene expression and genomewide variation data.

Degree: 2017, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ)

URL: http://hdl.handle.net/10442/hedi/40714

►

My PhD thesis focuses on the computational methods and pipelines to analyse data of different types of genomic, transcriptomic and epigenomic data with applications to… (more)

▼

My PhD thesis focuses on the computational methods and pipelines to analyse data of different types of genomic, transcriptomic and epigenomic data with applications to understand the aetiology of Gilles de la Tourette Syndrome (GTS), a psychiatric disorder of complex background. Advancements in microarray technologies have made possible the genomewide analysis of large patient cohorts producing vast amounts of data. The analysis of big data from microarray technologies has to tackle a wide-range of problems; from basic quality control to complex association models. Analysis of such big data are subjected to rigorous quality filters at variant and sample levels to remove technical problems which reduces the false positive results in the association. Here we put forward the computational methods and pipelines to address genomewide gene expression, Single Nucleotide Polymorphisms (SNPs), Copy Number Variants (CNVs) and DNA Methylation marker studies. Our applications on GTS shed light into the aetiology of the disorder, implicating several candidate susceptibility genes that warrant further investigation.

Η διδακτορική μου διατριβή επικεντρώνεται στις υπολογιστικές μεθόδους και τα σύνολα εντολών για την ανάλυση διαφορετικών τύπων γονιδιωματικών, μεταγραφικών και επιγονιδιωματικών δεδομένων με στόχο την κατανόηση της αιτιολογίας του συνδρόμου Gilles de la Tourette (GTS), μιας ψυχιατρικής διαταραχής πολύπλοκου υποβάθρου. Οι εξελίξεις στις τεχνολογίες μικροσυστοιχιών έχουν καταστήσει δυνατή την ανάλυση του γονιδιώματος μεγάλων ομάδων ασθενών παράγοντας τεράστιο όγκο δεδομένων. Η ανάλυση του μεγάλου όγκου δεδομένων από τις τεχνολογίες μικροσυστοιχιών πρέπει να αντιμετωπίσει ένα ευρύ φάσμα προβλημάτων, που εκτείνονται από το βασικό έλεγχο ποιότητας έως τα πολύπλοκα μοντέλα συσχέτισης. Η ανάλυση τέτοιων δεδομένων μεγάλου όγκου υποβάλλονται σε αυστηρό ποιοτικό έλεγχο τόσο σε επίπεδο παραλλαγών όσο και επίπεδο δειγμάτων για την εξάλειψη τεχνικών προβλημάτων που μειώνουν τα ψευδώς θετικά αποτελέσματα της συσχέτισης. Εδώ παρουσιάζουμε τις υπολογιστικές μεθόδους και τα σύνολα εντολών που χρησιμοποιούνται για την ανάλυση της γονιδιακής έκφρασης σε επίπεδο ολόκληρου του γονιδιώματος, των μονονουκλεοτιδικών πολυμορφισμών (SNPs), των παραλλαγών αριθμού αντιγράφων (CNVs) και των μελετών δεικτών μεθυλίωσης DNA. Η εφαρμογή των παραπάνω μεθόδων στο GTS ρίχνουν φως στην αιτιολογία της διαταραχής, εμπλέκοντας πολλά υποψήφια γονίδια προδιάθεσης που δικαιολογούν περαιτέρω διερεύνηση.

Subjects/Keywords: Σύνδρομο Τουρέτ; Διαφορική έκφραση; Μονονουκλεοτιδικοί πολυμορφισμοί; Πολυμορφισμοί αριθμού αντιγράφων; Μελέτες συσχέτισης ολόκληρου του γονιδιώματος; Μελέτες συσχέτισης ολόκληρου του επιγενώματος; SNPs; CNV; GWAS; EWAS; Tourette syndrome; Differential expression

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Padmanabhuni, S. S. (2017). Computational methods of analysis for gene expression and genomewide variation data. (Thesis). Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/40714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16^th Edition):

Padmanabhuni, Shanmukha Sampath. “Computational methods of analysis for gene expression and genomewide variation data.” 2017. Thesis, Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ). Accessed April 17, 2021. http://hdl.handle.net/10442/hedi/40714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7^th Edition):

Padmanabhuni, Shanmukha Sampath. “Computational methods of analysis for gene expression and genomewide variation data.” 2017. Web. 17 Apr 2021.

Vancouver:

Padmanabhuni SS. Computational methods of analysis for gene expression and genomewide variation data. [Internet] [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2017. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/10442/hedi/40714.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Padmanabhuni SS. Computational methods of analysis for gene expression and genomewide variation data. [Thesis]. Democritus University of Thrace (DUTH); Δημοκρίτειο Πανεπιστήμιο Θράκης (ΔΠΘ); 2017. Available from: http://hdl.handle.net/10442/hedi/40714

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Erasmus University Rotterdam

7. Ligthart, Symen. Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease.

Degree: Department of Epidemiology, 2020, Erasmus University Rotterdam

URL: http://hdl.handle.net/1765/124772

textabstractThis thesis presents the genetics and epigenetics of inflammation, and the link with type 2 diabetes and cardiovascular disease is investigated.

Subjects/Keywords: GWAS; EWAS; C-reactive protein; DNA methylation; inflammation; diabetes; coronary heart disease

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6^th Edition):

Ligthart, S. (2020). Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease. (Doctoral Dissertation). Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/124772

Chicago Manual of Style (16^th Edition):

Ligthart, Symen. “Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease.” 2020. Doctoral Dissertation, Erasmus University Rotterdam. Accessed April 17, 2021. http://hdl.handle.net/1765/124772.

MLA Handbook (7^th Edition):

Ligthart, Symen. “Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease.” 2020. Web. 17 Apr 2021.

Vancouver:

Ligthart S. Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease. [Internet] [Doctoral dissertation]. Erasmus University Rotterdam; 2020. [cited 2021 Apr 17]. Available from: http://hdl.handle.net/1765/124772.

Council of Science Editors:

Ligthart S. Molecular Epidemiology of Inflammation: Link with Type 2 Diabetes and Coronary Heart Disease. [Doctoral Dissertation]. Erasmus University Rotterdam; 2020. Available from: http://hdl.handle.net/1765/124772

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Open Access Theses and Dissertations