Zobrazeno 1 - 10
of 150
pro vyhledávání: '"Sharon M Lutz"'
Autor:
Julian Hecker, Dmitry Prokopenko, Matthew Moll, Sanghun Lee, Wonji Kim, Dandi Qiao, Kirsten Voorhies, Woori Kim, Stijn Vansteelandt, Brian D Hobbs, Michael H Cho, Edwin K Silverman, Sharon M Lutz, Dawn L DeMeo, Scott T Weiss, Christoph Lange
Publikováno v:
PLoS Genetics, Vol 18, Iss 11, p e1010464 (2022)
The identification and understanding of gene-environment interactions can provide insights into the pathways and mechanisms underlying complex diseases. However, testing for gene-environment interaction remains a challenge since a.) statistical power
Externí odkaz:
https://doaj.org/article/193a8e8ec1d744fcb6ff01cb7ab115e0
Autor:
Kirsten Voorhies, Ruofan Bie, John E Hokanson, Scott T Weiss, Ann Chen Wu, Julian Hecker, Georg Hahn, Dawn L Demeo, Edwin Silverman, Michael H Cho, Christoph Lange, Sharon M Lutz
Publikováno v:
PLoS ONE, Vol 17, Iss 5, p e0266752 (2022)
To increase power and minimize bias in statistical analyses, quantitative outcomes are often adjusted for precision and confounding variables using standard regression approaches. The outcome is modeled as a linear function of the precision variables
Externí odkaz:
https://doaj.org/article/02d45b6ef4484a998648d7ed86368c05
Autor:
Amber Dahlin, Joanne E Sordillo, Michael McGeachie, Rachel S Kelly, Kelan G Tantisira, Sharon M Lutz, Jessica Lasky-Su, Ann Chen Wu
Publikováno v:
PLoS ONE, Vol 15, Iss 3, p e0229241 (2020)
While genome-wide association studies have identified genes involved in differential treatment responses to inhaled corticosteroids (ICS) in asthma, few studies have evaluated the potential effects of age in this context. A significant proportion of
Externí odkaz:
https://doaj.org/article/6d748f86e5374d829480687d73e802cd
Autor:
Ghislain Rocheleau, Shoa L. Clarke, Gaëlle Auguste, Natalie R. Hasbani, Alanna C. Morrison, Adam S. Heath, Lawrence F. Bielak, Kruthika R. Iyer, Erica P. Young, Nathan O. Stitziel, Goo Jun, Cecelia Laurie, Jai G. Broome, Alyna T. Khan, Donna K. Arnett, Lewis C. Becker, Joshua C. Bis, Eric Boerwinkle, Donald W. Bowden, April P. Carson, Patrick T. Ellinor, Myriam Fornage, Nora Franceschini, Barry I. Freedman, Nancy L. Heard-Costa, Lifang Hou, Yii-Der Ida Chen, Eimear E. Kenny, Charles Kooperberg, Brian G. Kral, Ruth J. F. Loos, Sharon M. Lutz, JoAnn E. Manson, Lisa W. Martin, Braxton D. Mitchell, Rami Nassir, Nicholette D. Palmer, Wendy S. Post, Michael H. Preuss, Bruce M. Psaty, Laura M. Raffield, Elizabeth A. Regan, Stephen S. Rich, Jennifer A. Smith, Kent D. Taylor, Lisa R. Yanek, Kendra A. Young, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Austin T. Hilliard, Catherine Tcheandjieu, Patricia A. Peyser, Ramachandran S. Vasan, Jerome I. Rotter, Clint L. Miller, Themistocles L. Assimes, Paul S. de Vries, Ron Do
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Whole genome sequences (WGS) enable discovery of rare variants which may contribute to missing heritability of coronary artery disease (CAD). To measure their contribution, we apply the GREML-LDMS-I approach to WGS of 4949 cases and 17,494 c
Externí odkaz:
https://doaj.org/article/06f5575dd28f4c74ac4e7a972d07a02f
Autor:
Yu Jiang, Sai Chen, Daniel McGuire, Fang Chen, Mengzhen Liu, William G Iacono, John K Hewitt, John E Hokanson, Kenneth Krauter, Markku Laakso, Kevin W Li, Sharon M Lutz, Matthew McGue, Anita Pandit, Gregory J M Zajac, Michael Boehnke, Goncalo R Abecasis, Scott I Vrieze, Xiaowei Zhan, Bibo Jiang, Dajiang J Liu
Publikováno v:
PLoS Genetics, Vol 14, Iss 7, p e1007452 (2018)
Meta-analysis of genetic association studies increases sample size and the power for mapping complex traits. Existing methods are mostly developed for datasets without missing values, i.e. the summary association statistics are measured for all varia
Externí odkaz:
https://doaj.org/article/762a0578df2243d88a5dccac238c0585
Autor:
Ferdouse Begum, Ingo Ruczinski, John E Hokanson, Sharon M Lutz, Margaret M Parker, Michael H Cho, Jacqueline B Hetmanski, Robert B Scharpf, James D Crapo, Edwin K Silverman, Terri H Beaty
Publikováno v:
PLoS ONE, Vol 11, Iss 10, p e0164134 (2016)
Many well-powered genome-wide association studies have identified genetic determinants of self-reported smoking behaviors and measures of nicotine dependence, but most have not considered the role of structural variants, such as copy number variation
Externí odkaz:
https://doaj.org/article/e8e6eeca791542eba2db2fbfa1907bc6
Publikováno v:
Frontiers in Genetics, Vol 5 (2014)
Motivated by the challenges associated with accounting for the ascertainment when analyzing secondary phenotypes that are correlated with case-control status, Lin and Zeng have proposed a method that properly reflects the case-control sampling. (Lin
Externí odkaz:
https://doaj.org/article/b5fcfc8adf7e4969a96a9687df4d8147
Publikováno v:
Frontiers in Genetics, Vol 4 (2013)
In genome wide association studies (GWAS), families based studies tend to have less power to detect genetic associations than population based studies, such as case-control studies. This can be an issue when testing if genes in a family based GWAS ha
Externí odkaz:
https://doaj.org/article/05b8d39005f0453abe25ae73aac39bf0
Autor:
Georg Hahn, Sharon M. Lutz, Julian Hecker, Dmitry Prokopenko, Michael H. Cho, Edwin K. Silverman, Scott T. Weiss, Christoph Lange
Publikováno v:
BMC Bioinformatics, Vol 25, Iss 1, Pp 1-20 (2024)
Abstract The computation of a similarity measure for genomic data is a standard tool in computational genetics. The principal components of such matrices are routinely used to correct for biases due to confounding by population stratification, for in
Externí odkaz:
https://doaj.org/article/9e85b3a4726d4c48be715654b1c4bd13
Autor:
Kirsten Voorhies, Kendra Young, Fang-Chi Hsu, Nicholette D. Palmer, Merry-Lynn N. McDonald, Sanghun Lee, Georg Hahn, Julian Hecker, Dmitry Prokopenko, Ann Chen Wu, Elizabeth A. Regan, Dawn DeMeo, Greg L. Kinney, James D. Crapo, Michael H. Cho, Edwin K. Silverman, Christoph Lange, Matthew J. Budoff, John E. Hokanson, Sharon M. Lutz
Publikováno v:
Journal of Cardiovascular Development and Disease, Vol 11, Iss 7, p 194 (2024)
Background: Coronary artery calcium (CAC) is a marker of subclinical atherosclerosis and is a complex heritable trait with both genetic and environmental risk factors, including sex and smoking. Methods: We performed genome-wide association (GWA) ana
Externí odkaz:
https://doaj.org/article/0abf222a64e34bfb919a8d586d67f502