Search

Your search keyword '"Zeng, Yanni"' showing total 251 results
Start Over Author "Zeng, Yanni"
251 results on '"Zeng, Yanni"'

2. BV solutions to a hyperbolic system of balance laws with logistic growth

Author

Chen, Geng and Zeng, Yanni

Subjects
Mathematics - Analysis of PDEs
Abstract

We study BV solutions for a $2\times2$ system of hyperbolic balance laws. We show that when initial data have small total variation on $(-\infty,\infty)$ and small amplitude, and decay sufficiently fast to a constant equilibrium state as $|x|\rightarrow\infty$, a Cauchy problem (with generic data) has a unique admissible BV solution defined globally in time. Here the solution is admissible in the sense that its shock waves satisfy the Lax entropy condition. We also study asymptotic behavior of solutions. In particular, we obtain a time decay rate for the total variation of the solution, and a convergence rate of the solution to its time asymptotic solution. Our system is a modification of a Keller-Segel type chemotaxis model. Its flux function possesses new features when comparing to the well-known model of Euler equations with damping. This may help to shed light on how to extend the study to a general system of hyperbolic balance laws in the future.

Published
2023

7. Visualization of Four Limit Cycles in Near-Integrable Quadratic Polynomial Systems

Author

Yu, Pei and Zeng, Yanni

Subjects
Nonlinear Sciences - Chaotic Dynamics, Mathematics - Classical Analysis and ODEs, 34C07, 34C23
Abstract

It has been known for almost $40$ years that general planar quadratic polynomial systems can have four limit cycles. Recently, four limit cycles were also found in near-integrable quadratic polynomial systems. To help more people to understand limit cycles theory, the visualization of such four numerically simulated limit cycles in quadratic systems has attracted researchers' attention. However, for near integral systems, such visualization becomes much more difficult due to limitation on choosing parameter values. In this paper, we start from the simulation of the well-known quadratic systems constructed around the end of 1979, then reconsider the simulation of a recently published quadratic system which exhibits four big size limit cycles, and finally provide a concrete near-integral quadratic polynomial system to show four normal size limit cycles., Comment: 12 pages, 8 figures

Published
2020
Full Text
View/download PDF

13. Epigenetic prediction of major depressive disorder

Author

Barbu, Miruna C., Shen, Xueyi, Walker, Rosie M., Howard, David M., Evans, Kathryn L., Whalley, Heather C., Porteous, David J., Morris, Stewart W., Deary, Ian J., Zeng, Yanni, Marioni, Riccardo E., Clarke, Toni-Kim, and McIntosh, Andrew M.

Published
2021
Full Text
View/download PDF

14. The identification of risk factors for major depressive disorder

Author

Zeng, Yanni, McIntosh, Andrew, and Haley, Christopher

Subjects
616.85, MDD, Major depressive disorder
Abstract

For complex traits, population genetic studies ask: to what extent do genetic variation and environmental variation influence, determine and predict phenotypic variation? More specifically, researchers ask two questions. First, how much of the phenotypic variation is genetic in origin? Second, if the genetic component of a trait has been ascertained, then by what mechanisms do the causal variants contribute to the genetic variation that impacts on the phenotype? Previous studies have indicated a polygenic structure for many complex traits, which means that the genetic variation in those traits is the result of the cumulative effect from hundreds or even thousands of genetic variants. To further decipher the polygenic genetic architecture of a complex trait, genetic studies aim to identify the number, the location in the genome, and the distribution of the effect sizes of causal variants, as well as their individual and interacting effects. Linkage analysis and genome-wide association studies (GWAS), either based on single variants or sets of variants categorized by functional annotations, can be applied to map the potentially causal variants in the genome. The identification of disease-associated loci, however, is only the starting point in identifying causal variants. Causal variants are usually difficult to distinguish from the large number of variants in linkage disequilibrium (LD) within the associated loci, and may be in incomplete LD with genotyped variants. Computational prediction integrated with multi-level ‘Omic’ data will help the prioritization of candidate causal variants, which then become important targets for experimental validation (Chapter 1). Major depressive disorder (MDD) is a complex trait, contributes the second most important burden to global disease. Both genetic and environmental components have been suggested for this disorder in previous studies, although a clear partitioning of the contribution of each component and the identification of major contributing components is yet to be achieved. In efforts to map causal genetic variants, genome-wide association studies of MDD have identified few significant associations so far. The polygenic architecture combined with the widespread clinical and genetic heterogeneity of MDD between populations may impede the identification of causal variants (Chapter 2). In this thesis, I will present three studies; the first study estimated the proportions of the phenotypic variation that are genetic or familial environmental in origin in two depression definitions(chapter 3), followed by two studies where distinct (non- GWAS) methods were used to identify candidate causal genetic variants for MDD (chapter 4,5). In detail, in chapter 3, a variance component analysis was applied to GS:SFHS (Generation Scotland: Scottish Family Health Study) to investigate the relative genetic and environmental contributions to diagnosed major depressive disorder (MDD) and self-declared depression (SDD). Models for MDD and SDD that simultaneously included genetic and environmental effects suggested that narrow-sense heritability could be inflated by the environments shared by nuclear family members. The most parsimonious models selected for both MDD and SDD included SNP and pedigree-associated genetic effects and the effect of the common environment of couples. In chapter 4, I integrated pathway analysis and multi-level regional heritability analyses in a pipeline designed to identify MDD-associated pathways. The pipeline was applied to two independent GWAS studies (GS:SFHS and PGC1-MDD). The NETRIN1 signalling pathway showed the most consistent association with MDD across the two samples. Polygenic risk scores (PRSs) from this pathway showed predictive accuracy better than whole-genome PRSs when using AUC statistics, logistic regression and the linear mixed model. In chapter 5, genome-wide Haplotype-block-based regional heritability mapping (HRHM) was applied to identify haplotype blocks significantly contributing to MDD. A haplotype block across a 24kb region within the TOX2 gene reached genotype-wide significance in GS:SFHS. Single-SNP and haplotype based association tests were used to localize the association signal within the region identified by HRHM, and demonstrated that five out of nine genotyped SNPs and two haplotypes were significantly associated with MDD. The results were replicated in the UK-Ireland group in PGC2-MDD. The brain expression of TOX2 and brain-specific LncRNA RP1-269M15.3 were also significantly regulated by MDD-associated SNPs within the identified haplotype block. The three studies highlight the value of the application of multiple population genetics and bioinformatics methods to multiple family-based and population-based cohorts in identification of risk factors for MDD.

Published
2017

17. Genetic risk of extranodal natural killer T-cell lymphoma: a genome-wide association study in multiple populations

Author

Au, Wing-Yan, Chiu, Brian, Fan, Lei, Li, Zheng, LAM, Tai Hing, Liang, Raymond, Yeh, Su-Peng, Xu, Jun, Ip, Dennis Kai Ming, Li, Gandi, Xu, Gang, Wang, Xiaodong, Bai, Ou, Cai, Qing-Qing, Xia, Yi, Chen, Jie-Rong, Luo, Chun-Ling, Xiong, Xiang-Yu, Zeng, Yanni, Wei, Pan-Pan, Liu, Chu-Jun, Liu, Yu-Xiang, Cao, Yu-Lu, He, Shuai, Liu, Yang, Ha, Jeslin Chian Hung, Khoo, Lay Poh, Kee, Rebecca Xiangpin, Tan, Jing, Liu, Yanhui, Zhang, Fen, Feng, Yanfen, Rao, Huilan, Chng, Wee Joo, Chan, Jason Yong Sheng, Somasundaram, Nagavalli D/O, Tao, Miriam, Ras, Mohamad Farid Bin Harunal, Yeoh, Kheng-Wei, Goh, Yeow Tee, Ong, Shin Yeu, Grigoropoulos, Nicholas Francis, Wong, Esther Kam Yin, Pang, Jane Wan Lu, Lim, Jing Quan, Chia, Burton Kuan Hui, Kim, Seok Jin, Yoon, Sang Eun, Choi, Seungkyu, Kuo, Ching-Yuan, Chen, Tsai-Yun, Su, Yu-Chieh, Huang, Wen-Tsung, Lee, Ming-Yang, Yao, Wenxiu, Ngan, Kai-Cheong, Liu, Herman, Lee, Harold, Yip, Sze-Fai, Liu, Jie, Li, Jianyong, Rabkin, Charles S., Berndt, Sonja, Bassig, Bryan, Hu, Wei, Zhao, Mingfeng, Li, Yuming, Zhai, Qiongli, Shao, Zonghong, Qiu, Lugui, Wang, Jianxiang, Xu, Fu-Ping, Chen, Ling, Hou, Yu, Xu, Shuangnian, Huang, Zhen, Xie, Mingling, Li, Ming, Zhong, Shilong, Zhang, Yan, Gu, Dongqing, Wang, Xin, Foo, Jia Nee, Li, Zhiqiang, Dai, Juncheng, Sun, Liangdan, Wang, Zhenzhen, Liu, Hong, Zhou, Hui, Sun, Yonghu, Koh, Woon-Puay, Heng, Chew-Kiat, Hong, Chew Soo, Ahn, Jeeyun, Park, Kyu Hyung, Tin, Aung, Gu, Jieruo, Xia, Xiaojun, Li, Bo, Yu, Xueqing, Lin, Guo-Wang, Xu, Caigang, Chen, Kexin, Huang, Hui-Qiang, Chen, Jieping, Song, Bao, Chan, John K C, Li, Wenyu, Liu, Weiping, Shih, Lee-Yung, Chuang, Wen-Yu, Kim, Won Seog, Tan, Wen, Peng, Rou-Jun, Laurensia, Yurike, Cheah, Daryl Ming Zhe, Huang, DaChuan, Cheng, Chee Leong, Su, Yi-Jiun, Tan, Soo-Yong, Ng, Siok-Bian, Tang, Tiffany Pooi Ling, Han, Kyudong, Wang, Vivien Ya-Fan, Jia, Wei-Hua, Pei, Zhong, Li, Ya-Jun, Gao, Song, Shi, Yongyong, Hu, Zhibin, Zhang, Furen, Zhang, Ben, Zeng, Yi-Xin, Shen, Hongbing, He, Lin, Ong, Choon Kiat, Lim, Soon Thye, Chanock, Stephen, Kwong, Yok-Lam, Lin, Dongxin, Rothman, Nathaniel, Khor, Chiea Chuen, Lan, Qing, and Bei, Jin-Xin

Published
2020
Full Text
View/download PDF

18. Large-Scale Whole-Exome Sequencing Association Study Implicates Genetic Effects on Multiple Cell Types and EBV in Nasopharyngeal Carcinoma

Author

Zeng, Yanni, primary, Luo, Chun-Ling, additional, Lin, Guo-Wang, additional, Li, Fugui, additional, Bai, Xiaomeng, additional, Ko, Josephine Mun-Yee, additional, Liu, Yang, additional, He, Shuai, additional, Jiang, Jia-Xin, additional, ONG, Enya Hui Wen, additional, Li, Zheng, additional, Zhou, Ya-Qing, additional, Zhou, Yun-He, additional, Xu, An-Yi, additional, Liu, Shu-Qiang, additional, Guo, Yun-Miao, additional, Chen, Jie-Rong, additional, Cheng, Xi-Xi, additional, Cao, Yu-Lu, additional, Yu, Xia, additional, Wu, Biaohua, additional, Wei, Pan-Pan, additional, Ruan, Zhao-Hui, additional, Chen, Qiu-Yan, additional, Tang, Lin-Quan, additional, McKay, James D., additional, Jia, Wei-Hua, additional, Mai, Hai-Qiang, additional, Liu, Jian-Jun, additional, Lin, Dong-Xin, additional, Khor, Chiea Chuen, additional, CHUA, Melvin Lee Kiang, additional, Ji, Mingfang, additional, Lung, Maria Li, additional, Zeng, Yi-Xin, additional, and Bei, Jin-Xin, additional

Published
2023
Full Text
View/download PDF

20. Genome-wide association study of antidepressant treatment resistance in a population-based cohort using health service prescription data and meta-analysis with GENDEP

Author

Wigmore, Eleanor M., Hafferty, Jonathan D., Hall, Lynsey S., Howard, David M., Clarke, Toni-Kim, Fabbri, Chiara, Lewis, Cathryn M., Uher, Rudolf, Navrady, Lauren B., Adams, Mark J., Zeng, Yanni, Campbell, Archie, Gibson, Jude, Thomson, Pippa A., Hayward, Caroline, Smith, Blair H., Hocking, Lynne J., Padmanabhan, Sandosh, Deary, Ian J., Porteous, David J., Mors, Ole, Mattheisen, Manuel, Nicodemus, Kristin K., and McIntosh, Andrew M.

Published
2020
Full Text
View/download PDF

21. Association of Whole-Genome and NETRIN1 Signaling Pathway–Derived Polygenic Risk Scores for Major Depressive Disorder and White Matter Microstructure in the UK Biobank

Author

Wray, Naomi R., Ripke, Stephan, Mattheisen, Manuel, Trzaskowski, Maciej, Byrne, Enda M., Abdellaoui, Abdel, Adams, Mark J., Agerbo, Esben, Air, Tracy M., Andlauer, Till F.M., Bacanu, Silviu-Alin, Bækvad-Hansen, Marie, Beekman, Aartjan T.F., Bigdeli, Tim B., Binder, Elisabeth B., Blackwood, Douglas H.R., Bryois, Julien, Buttenschøn, Henriette N., Bybjerg-Grauholm, Jonas, Cai, Na, Castelao, Enrique, Christensen, Jane Hvarregaard, Clarke, Toni-Kim, Coleman, Jonathan R.I., Colodro-Conde, Lucía, Couvy-Duchesne, Baptiste, Craddock, Nick, Crawford, Gregory E., Davies, Gail, Deary, Ian J., Degenhardt, Franziska, Derks, Eske M., Direk, Nese, Dolan, Conor V., Dunn, Erin C., Eley, Thalia C., Escott-Price, Valentina, Hassan Kiadeh, Farnush Farhadi, Finucane, Hilary K., Forstner, Andreas J., Frank, Josef, Gaspar, Héléna A., Gill, Michael, Goes, Fernando S., Gordon, Scott D., Grove, Jakob, Hall, Lynsey S., Hansen, Christine Søholm, Hansen, Thomas F., Herms, Stefan, Hickie, Ian B., Hoffmann, Per, Homuth, Georg, Horn, Carsten, Hottenga, Jouke-Jan, Hougaard, David M., Ising, Marcus, Jansen, Rick, Jorgenson, Eric, Knowles, James A., Kohane, Isaac S., Kraft, Julia, Kretzschmar, Warren W., Krogh, Jesper, Kutalik, Zoltán, Li, Yihan, Lind, Penelope A., MacIntyre, Donald J., MacKinnon, Dean F., Maier, Robert M., Maier, Wolfgang, Marchini, Jonathan, Mbarek, Hamdi, McGrath, Patrick, McGuffin, Peter, Medland, Sarah E., Mehta, Divya, Middeldorp, Christel M., Mihailov, Evelin, Milaneschi, Yuri, Milani, Lili, Mondimore, Francis M., Montgomery, Grant W., Mostafavi, Sara, Mullins, Niamh, Nauck, Matthias, Ng, Bernard, Nivard, Michel G., Nyholt, Dale R., O'Reilly, Paul F., Oskarsson, Hogni, Owen, Michael J., Painter, Jodie N., Pedersen, Carsten Bøcker, Pedersen, Marianne Giørtz, Peterson, Roseann E., Pettersson, Erik, Peyrot, Wouter J., Pistis, Giorgio, Posthuma, Danielle, Quiroz, Jorge A., Qvist, Per, Rice, John P., Riley, Brien P., Rivera, Margarita, Mirza, Saira Saeed, Schoevers, Robert, Schulte, Eva C., Shen, Ling, Shi, Jianxin, Shyn, Stanley I., Sigurdsson, Engilbert, Sinnamon, Grant C.B., Smit, Johannes H., Smith, Daniel J., Stefansson, Hreinn, Steinberg, Stacy, Streit, Fabian, Strohmaier, Jana, Tansey, Katherine E., Teismann, Henning, Teumer, Alexander, Thompson, Wesley, Thomson, Pippa A., Thorgeirsson, Thorgeir E., Traylor, Matthew, Treutlein, Jens, Trubetskoy, Vassily, Uitterlinden, André G., Umbricht, Daniel, Van der Auwera, Sandra, van Hemert, Albert M., Viktorin, Alexander, Visscher, Peter M., Wang, Yunpeng, Webb, Bradley T., Weinsheimer, Shantel Marie, Wellmann, Jürgen, Willemsen, Gonneke, Witt, Stephanie H., Wu, Yang, Xi, Hualin S., Yang, Jian, Zhang, Futao, Arolt, Volker, Baune, Bernhard T., Berger, Klaus, Boomsma, Dorret I., Cichon, Sven, Dannlowski, Udo, de Geus, E.J.C., DePaulo, J. Raymond, Domenici, Enrico, Domschke, Katharina, Esko, Tõnu, Grabe, Hans J., Hamilton, Steven P., Hayward, Caroline, Heath, Andrew C., Kendler, Kenneth S., Kloiber, Stefan, Lewis, Glyn, Li, Qingqin S., Lucae, Susanne, Madden, Pamela A.F., Magnusson, Patrik K., Martin, Nicholas G., McIntosh, Andrew M., Metspalu, Andres, Mors, Ole, Mortensen, Preben Bo, Müller-Myhsok, Bertram, Nordentoft, Merete, Nöthen, Markus M., O'Donovan, Michael C., Paciga, Sara A., Pedersen, Nancy L., Penninx, Brenda W.J.H., Perlis, Roy H., Porteous, David J., Potash, James B., Preisig, Martin, Rietschel, Marcella, Schaefer, Catherine, Schulze, Thomas G., Smoller, Jordan W., Stefansson, Kari, Tiemeier, Henning, Uher, Rudolf, Völzke, Henry, Weissman, Myrna M., Werge, Thomas, Lewis, Cathryn M., Levinson, Douglas F., Breen, Gerome, Børglum, Anders D., Sullivan, Patrick F., Agee, Michelle, Alipanahi, Babak, Auton, Adam, Bell, Robert K., Bryc, Katarzyna, Elson, Sarah L., Fontanillas, Pierre, Furlotte, Nicholas A., Hinds, David A., Huber, Karen E., Kleinman, Aaron, Litterman, Nadia K., McCreight, Jennifer C., McIntyre, Matthew H., Mountain, Joanna L., Noblin, Elizabeth S., Northover, Carrie A.M., Pitts, Steven J., Sathirapongsasuti, J. Fah, Sazonova, Olga V., Shelton, Janie F., Shringarpure, Suyash, Tian, Chao, Tung, Joyce Y., Vacic, Vladimir, Wilson, Catherine H., Barbu, Miruna C., Zeng, Yanni, Shen, Xueyi, Cox, Simon R., Gibson, Jude, Johnstone, Mandy, Haley, Chris S., Lawrie, Stephen M., and Whalley, Heather C.

Published
2019
Full Text
View/download PDF

23. Identifying epigenetic biomarkers of established prognostic factors and survival in a clinical cohort of individuals with oropharyngeal cancer

Author

Langdon, Ryan, Richmond, Rebecca, Elliott, Hannah R., Dudding, Tom, Kazmi, Nabila, Penfold, Chris, Ingarfield, Kate, Ho, Karen, Bretherick, Andrew, Haley, Chris, Zeng, Yanni, Walker, Rosie M., Pawlita, Michael, Waterboer, Tim, Gaunt, Tom, Smith, George Davey, Suderman, Matthew, Thomas, Steve, Ness, Andy, and Relton, Caroline

Published
2020
Full Text
View/download PDF

26. Phenome-wide analysis identifies parent-of-origin effects on the human methylome associated with changes in the rate of aging

Author

Gao, Chenhao, primary, Amador, Carmen, additional, Walker, Rosie M., additional, Campbell, Archie, additional, Madden, Rebecca A, additional, Adams, Mark J., additional, Bai, Xiaomeng, additional, Liu, Ying, additional, Li, Miaoxin, additional, Hayward, Caroline, additional, Porteous, David J., additional, Shen, Xueyi, additional, Evans, Kathryn L., additional, Haley, Chris S., additional, McIntosh, Andrew M., additional, Navarro, Pau, additional, and Zeng, Yanni, additional

Published
2023
Full Text
View/download PDF

28. Publisher Correction: Parent of origin genetic effects on methylation in humans are common and influence complex trait variation

Author

Zeng, Yanni, Amador, Carmen, Xia, Charley, Marioni, Riccardo, Sproul, Duncan, Walker, Rosie M., Morris, Stewart W., Bretherick, Andrew, Canela-Xandri, Oriol, Boutin, Thibaud S., Clark, David W., Campbell, Archie, Rawlik, Konrad, Hayward, Caroline, Nagy, Reka, Tenesa, Albert, Porteous, David J., Wilson, James F., Deary, Ian J., Evans, Kathryn L., McIntosh, Andrew M., Navarro, Pau, and Haley, Chris S.

Published
2019
Full Text
View/download PDF

29. Parent of origin genetic effects on methylation in humans are common and influence complex trait variation

Author

Zeng, Yanni, Amador, Carmen, Xia, Charley, Marioni, Riccardo, Sproul, Duncan, Walker, Rosie M., Morris, Stewart W., Bretherick, Andrew, Canela-Xandri, Oriol, Boutin, Thibaud S., Clark, David W., Campbell, Archie, Rawlik, Konrad, Hayward, Caroline, Nagy, Reka, Tenesa, Albert, Porteous, David J., Wilson, James F., Deary, Ian J., Evans, Kathryn L., McIntosh, Andrew M., Navarro, Pau, and Haley, Chris S.

Published
2019
Full Text
View/download PDF

31. Genome-wide meta-analyses of stratified depression in Generation Scotland and UK Biobank

Author

Hall, Lynsey S., Adams, Mark J., Arnau-Soler, Aleix, Clarke, Toni-Kim, Howard, David M., Zeng, Yanni, Davies, Gail, Hagenaars, Saskia P., Maria Fernandez-Pujals, Ana, Gibson, Jude, Wigmore, Eleanor M., Boutin, Thibaud S., Hayward, Caroline, Scotland, Generation, Major Depressive Disorder Working Group of the Psychiatric Genomics Consortium, Porteous, David J., Deary, Ian J., Thomson, Pippa A., Haley, Chris S., and McIntosh, Andrew M.

Published
2018
Full Text
View/download PDF

37. Lifestyle and Genetic Factors Modify Parent-of-Origin Effects on the Human Methylome

Author

Zeng, Yanni, primary, Amador, Carmen, additional, Gao, Chenhao, additional, Walker, Rosie M., additional, Morris, Stewart W., additional, Campbell, Archie, additional, Frkatović, Azra, additional, Madden, Rebecca A, additional, Adams, Mark J., additional, He, Shuai, additional, Bretherick, Andrew D., additional, Hayward, Caroline, additional, Porteous, David J., additional, Wilson, James F., additional, Evans, Kathryn L., additional, McIntosh, Andrew M., additional, Navarro, Pau, additional, and Haley, Chris S., additional

Published
2021
Full Text
View/download PDF

38. Urbanization and financial literacy: the knowledge spillover effect.

Author

Yan, Zhu, Wang, Aoran, Shao, Weiwei, and Zeng, Yanni

Subjects
FINANCIAL literacy, URBANIZATION, TRADITIONAL knowledge, SOCIAL networks, HOUSEHOLD surveys
Abstract

Using the dataset of the 2015 wave of the China Household Finance Survey (CHFS), this paper examines how urbanization influences individuals' financial literacy. We demonstrate that the financial knowledge of urban natives spills to rural–urban migrants in the process of urbanization and urban agglomeration. We address the potential endogeneity issue by taking advantage of China's land expropriation policy. Our results are robust to identification regressions and a series of robustness checks. Further mechanism analysis shows that the financial literacy spillover effect works mainly through social networks. [ABSTRACT FROM AUTHOR]

Published
2022
Full Text
View/download PDF

39. Genome-wide methylation data improves dissection of the effect of smoking on body mass index

Author

Amador, Carmen, primary, Zeng, Yanni, additional, Barber, Michael, additional, Walker, Rosie M., additional, Campbell, Archie, additional, McIntosh, Andrew M., additional, Evans, Kathryn L., additional, Porteous, David J., additional, Hayward, Caroline, additional, Wilson, James F., additional, Navarro, Pau, additional, and Haley, Chris S., additional

Published
2021
Full Text
View/download PDF

47. Assessing the role of genome-wide DNA methylation between smoking and risk of lung cancer using repeated measurements: the HUNT study

Author

Sun, Yi-Qian, primary, Richmond, Rebecca C, additional, Suderman, Matthew, additional, Min, Josine L, additional, Battram, Thomas, additional, Flatberg, Arnar, additional, Beisvag, Vidar, additional, Nøst, Therese Haugdahl, additional, Guida, Florence, additional, Jiang, Lin, additional, Wahl, Sissel Gyrid Freim, additional, Langhammer, Arnulf, additional, Skorpen, Frank, additional, Walker, Rosie M, additional, Bretherick, Andrew D, additional, Zeng, Yanni, additional, Chen, Yue, additional, Johansson, Mattias, additional, Sandanger, Torkjel M, additional, Relton, Caroline L, additional, and Mai, Xiao-Mei, additional

Published
2021
Full Text
View/download PDF

49. Assessment of DNA methylation differences between carriers of APOE ε4 and APOE ε2

Author

Walker, Rosie M., Vaher, Kadi, Bermingham, Mairead L., Morris, Stewart W., Bretherick, Andrew D., Zeng, Yanni, Rawlik, Konrad, Amador, Carmen, Campbell, Archie, Haley, Chris S., Hayward, Caroline, Porteous, David J., McIntosh, Andrew M., Marioni, Riccardo E., and Evans, Kathryn L.

Subjects
lipids (amino acids, peptides, and proteins)
Abstract

INTRODUCTION The Apolipoprotein E ( APOE ) ε4 allele is the strongest genetic risk factor for Alzheimer’s disease (AD), while the ε2 allele confers protection. Previous studies report differential DNA methylation of APOE between ε4 and ε2 carriers but associations with epigenome-wide methylation are unknown. METHODS The EPIC array was used to identify methylation differences between AD-free APOE ε4 (n=2469) and ε2 (n=1108) carriers using epigenome-wide association analysis and differentially methylated region (DMR) approaches. Results were explored using pathway and meQTL analyses. RESULTS Differentially methylated positions were identified in APOE , surrounding genes and genes outside of this locus ( DHCR24, LDLR and ABCG1 ). DMRs were identified in SREBF2, LDLR and SQLE . Pathway and meQTL analyses implicated lipid-related processes; however, blood cholesterol levels could not fully account for the associations. DISCUSSION APOE ε4 vs. ε2 carrier status is associated with epigenome-wide methylation differences in cis and trans in genes involved in lipid homeostasis.

Published
2019
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results