Zobrazeno 1 - 10
of 366
pro vyhledávání: '"Kathryn L. Lunetta"'
Autor:
Ahmed A. Y. Ragab, Margaret F. Doyle, Jiachen Chen, Yuan Fang, Kathryn L. Lunetta, Joanne M. Murabito
Publikováno v:
Immunity & Ageing, Vol 21, Iss 1, Pp 1-10 (2024)
Abstract Background Global life expectancy is rising, with the 60 + age group projected to hit 2 billion by 2050. Aging impacts the immune system. A notable marker of immune system aging is the presence of Aging-Related Immune Cell Phenotypes (ARIPs)
Externí odkaz:
https://doaj.org/article/c41cb3cf9955436687290af42e544dee
Autor:
James P. Pirruccello, Paolo Di Achille, Seung Hoan Choi, Joel T. Rämö, Shaan Khurshid, Mahan Nekoui, Sean J. Jurgens, Victor Nauffal, Shinwan Kany, FinnGen, Kenney Ng, Samuel F. Friedman, Puneet Batra, Kathryn L. Lunetta, Aarno Palotie, Anthony A. Philippakis, Jennifer E. Ho, Steven A. Lubitz, Patrick T. Ellinor
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-17 (2024)
Abstract Increased left atrial volume and decreased left atrial function have long been associated with atrial fibrillation. The availability of large-scale cardiac magnetic resonance imaging data paired with genetic data provides a unique opportunit
Externí odkaz:
https://doaj.org/article/28dcb362d1d747399f72a9d9686b4b32
Autor:
Yixuan Wang, Jinghan Huang, Ting Fang Alvin Ang, Yibo Zhu, Qiushan Tao, Jesse Mez, Michael Alosco, Gerald V. Denis, Anna Belkina, Ashita Gurnani, Mark Ross, Bin Gong, Jingyan Han, Kathryn L. Lunetta, Thor D. Stein, Rhoda Au, Lindsay A. Farrer, Xiaoling Zhang, Wei Qiao Qiu
Publikováno v:
Exploration of Medicine, Vol 5, Iss 2, Pp 193-214 (2024)
Aim: Endothelial dysfunction has been associated with both cerebrovascular pathology and Alzheimer’s disease (AD). However, the connection between circulating endothelial cells and the risk of AD remains uncertain. The objective was to leverage dat
Externí odkaz:
https://doaj.org/article/b829aced01d54988bacbfd62f99688f9
Autor:
Rebecca Panitch, Nathan Sahelijo, Junming Hu, Kwangsik Nho, David A. Bennett, Kathryn L. Lunetta, Rhoda Au, Thor D. Stein, Lindsay A. Farrer, Gyungah R. Jun
Publikováno v:
Translational Psychiatry, Vol 14, Iss 1, Pp 1-10 (2024)
Abstract The joint effects of APOE genotype and DNA methylation on Alzheimer disease (AD) risk is relatively unknown. We conducted genome-wide methylation analyses using 2,021 samples in blood (91 AD cases, 329 mild cognitive impairment, 1,391 contro
Externí odkaz:
https://doaj.org/article/40ae0a3a23db43e0be378d531cf27461
Autor:
Gary R. Zirpoli, Ruth M. Pfeiffer, Kimberly A. Bertrand, Dezheng Huo, Kathryn L. Lunetta, Julie R. Palmer
Publikováno v:
Breast Cancer Research, Vol 26, Iss 1, Pp 1-10 (2024)
Abstract Background Previous work in European ancestry populations has shown that adding a polygenic risk score (PRS) to breast cancer risk prediction models based on epidemiologic factors results in better discriminatory performance as measured by t
Externí odkaz:
https://doaj.org/article/1e1778063b7a4c4fbdfe3b4807a0e2a5
Autor:
Yuanchao Zheng, Kathryn L. Lunetta, Chunyu Liu, Alicia K. Smith, Richard Sherva, Mark W. Miller, Mark W. Logue
Publikováno v:
Epigenetics, Vol 18, Iss 1 (2023)
Differentially methylated regions (DMRs) are genomic regions with methylation patterns across multiple CpG sites that are associated with a phenotype. In this study, we proposed a Principal Component (PC) based DMR analysis method for use with data g
Externí odkaz:
https://doaj.org/article/79108c71b1944b7a825327c3f3d669b0
Autor:
Moonil Kang, Ting Fang Alvin Ang, Sherral A. Devine, Richard Sherva, Shubhabrata Mukherjee, Emily H. Trittschuh, Laura E. Gibbons, Phoebe Scollard, Michael Lee, Seo-Eun Choi, Brandon Klinedinst, Connie Nakano, Logan C. Dumitrescu, Alaina Durant, Timothy J. Hohman, Michael L. Cuccaro, Andrew J. Saykin, Walter A. Kukull, David A. Bennett, Li-San Wang, Richard P. Mayeux, Jonathan L. Haines, Margaret A. Pericak-Vance, Gerard D. Schellenberg, Paul K. Crane, Rhoda Au, Kathryn L. Lunetta, Jesse B. Mez, Lindsay A. Farrer
Publikováno v:
Molecular Neurodegeneration, Vol 18, Iss 1, Pp 1-22 (2023)
Abstract Background More than 75 common variant loci account for only a portion of the heritability for Alzheimer’s disease (AD). A more complete understanding of the genetic basis of AD can be deduced by exploring associations with AD-related endo
Externí odkaz:
https://doaj.org/article/fe39bfd5b90d4d70a686b48ed5244454
Autor:
Yuanchao Zheng, Kathryn L. Lunetta, Chunyu Liu, Seyma Katrinli, Alicia K. Smith, Mark W. Miller, Mark W. Logue
Publikováno v:
Epigenetics, Vol 17, Iss 13, Pp 2241-2258 (2022)
Differentially methylated regions (DMRs) are genomic regions with specific methylation patterns across multiple loci that are associated with a phenotype. We examined the genome-wide false positive (GFP) rates of five widely used DMR methods: comb-p,
Externí odkaz:
https://doaj.org/article/de7ccd68e6b2498b86c56589cbf4c5b3
Autor:
Jinghan Huang, Qiushan Tao, Ting Fang Alvin Ang, John Farrell, Congcong Zhu, Yixuan Wang, Thor D. Stein, Kathryn L. Lunetta, Joseph Massaro, Jesse Mez, Rhoda Au, Lindsay A. Farrer, Wei Qiao Qiu, Xiaoling Zhang, For the Alzheimer’s Disease Neuroimaging Initiative
Publikováno v:
Translational Psychiatry, Vol 12, Iss 1, Pp 1-11 (2022)
Abstract Apolipoprotein ε4 (APOE ε4) is the most significant genetic risk factor for late-onset Alzheimer’s disease (AD). Elevated blood C-reactive protein (CRP) further increases the risk of AD for people carrying the APOE ε4 allele. We hypothe
Externí odkaz:
https://doaj.org/article/7fc39034c444423299740da04db92e5c
Autor:
Jennifer L. Halford, Valerie N. Morrill, Seung Hoan Choi, Sean J. Jurgens, Giorgio Melloni, Nicholas A. Marston, Lu-Chen Weng, Victor Nauffal, Amelia W. Hall, Sophia Gunn, Christina A. Austin-Tse, James P. Pirruccello, Shaan Khurshid, Heidi L. Rehm, Emelia J. Benjamin, Eric Boerwinkle, Jennifer A. Brody, Adolfo Correa, Brandon K. Fornwalt, Namrata Gupta, Christopher M. Haggerty, Stephanie Harris, Susan R. Heckbert, Charles C. Hong, Charles Kooperberg, Henry J. Lin, Ruth J. F. Loos, Braxton D. Mitchell, Alanna C. Morrison, Wendy Post, Bruce M. Psaty, Susan Redline, Kenneth M. Rice, Stephen S. Rich, Jerome I. Rotter, Peter F. Schnatz, Elsayed Z. Soliman, Nona Sotoodehnia, Eugene K. Wong, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Marc S. Sabatine, Christian T. Ruff, Kathryn L. Lunetta, Patrick T. Ellinor, Steven A. Lubitz
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-11 (2022)
Accurate classification of genetic variants is critical for research and patient care. Here, the authors report that population-based associations between rare variants and quantitative endophenotypes for monogenic diseases can provide support for va
Externí odkaz:
https://doaj.org/article/816988c3c3b240bbb3a8c919e46440d7