Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Dan‐Yu Lin"'
Publikováno v:
International Journal of Infectious Diseases, Vol 145, Iss , Pp 107084- (2024)
Objectives: We investigated how booster interval affects the risks of SARS-CoV-2 infection and Covid-19-related hospitalization and death in different age groups. Methods: We collected data on booster receipts and Covid-19 outcomes between September
Externí odkaz:
https://doaj.org/article/c0d195b390da4f5dac5840f69ae9d658
Autor:
Dan-Yu Lin, Jianqiao Wang, Kevin J. Anstrom, Lisa M. LaVange, Jun Wen, Samuel A. Bozzette, William G. Powderly
Publikováno v:
International Journal of Infectious Diseases, Vol 146, Iss , Pp 107168- (2024)
A randomized, double-blind, placebo-controlled clinical trial was conducted to investigate the efficacy of infliximab, abatacept, and cenicriviroc in treating patients hospitalized with COVID-19. The patient's clinical status was assessed daily on an
Externí odkaz:
https://doaj.org/article/827459dd2b844af788b38f46c08cb2d8
Autor:
Yilun Li, Kin Yau Wong, Annie Green Howard, Penny Gordon-Larsen, Heather M. Highland, Mariaelisa Graff, Kari E. North, Carolina G. Downie, Christy L. Avery, Bing Yu, Kristin L. Young, Victoria L. Buchanan, Robert Kaplan, Lifang Hou, Brian Thomas Joyce, Qibin Qi, Tamar Sofer, Jee-Young Moon, Dan-Yu Lin
Publikováno v:
HGG Advances, Vol 5, Iss 1, Pp 100245- (2024)
Summary: Mendelian randomization has been widely used to assess the causal effect of a heritable exposure variable on an outcome of interest, using genetic variants as instrumental variables. In practice, data on the exposure variable can be incomple
Externí odkaz:
https://doaj.org/article/cbe905cc5ce0437cbe3b05f57e464168
Publikováno v:
Nature Communications, Vol 14, Iss 1, Pp 1-13 (2023)
Abstract Mapping cell type-specific gene expression quantitative trait loci (ct-eQTLs) is a powerful way to investigate the genetic basis of complex traits. A popular method for ct-eQTL mapping is to assess the interaction between the genotype of a g
Externí odkaz:
https://doaj.org/article/c6ca2f7da7c04add8e86915b3cd8abb5
Publikováno v:
PLoS Genetics, Vol 18, Iss 6, p e1010251 (2022)
More than a decade of genome-wide association studies (GWASs) have identified genetic risk variants that are significantly associated with complex traits. Emerging evidence suggests that the function of trait-associated variants likely acts in a tiss
Externí odkaz:
https://doaj.org/article/fb88893e30904d43972e4acf7f9b0e88
Autor:
Guoqing Diao, Dan-yu Lin
Publikováno v:
BMC Genetics, Vol 21, Iss 1, Pp 1-11 (2020)
Abstract Background Associations between haplotypes and quantitative traits provide valuable information about the genetic basis of complex human diseases. Haplotypes also provide an effective way to deal with untyped SNPs. Two major challenges arise
Externí odkaz:
https://doaj.org/article/69ce8b6a54234362938b25f7d850dc83
Autor:
Laura M. Raffield, Annie Green Howard, Misa Graff, Dan‐Yu Lin, Susan Cheng, Ellen Demerath, Chiadi Ndumele, Priya Palta, Casey M. Rebholz, Sara Seidelmann, Bing Yu, Penny Gordon‐Larsen, Kari E. North, Christy L. Avery
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 24 (2021)
Background Research examining the role of obesity in cardiovascular disease (CVD) often fails to adequately consider heterogeneity in obesity severity, distribution, and duration. Methods and Results We here use multivariate latent class mixed models
Externí odkaz:
https://doaj.org/article/4f7adac9540a4f3fa98822d50fb54aad
Publikováno v:
Genome Medicine, Vol 11, Iss 1, Pp 1-15 (2019)
Abstract We developed subclone multiplicity allocation and somatic heterogeneity (SMASH), a new statistical method for intra-tumor heterogeneity (ITH) inference. SMASH is tailored to the purpose of large-scale association studies with one tumor sampl
Externí odkaz:
https://doaj.org/article/58bc8713fa84427185113a25f2f36757
Autor:
Kin Yau Wong, Cheng Fan, Maki Tanioka, Joel S. Parker, Andrew B. Nobel, Donglin Zeng, Dan-Yu Lin, Charles M. Perou
Publikováno v:
Genome Biology, Vol 20, Iss 1, Pp 1-15 (2019)
Abstract We propose a statistical boosting method, termed I-Boost, to integrate multiple types of high-dimensional genomics data with clinical data for predicting survival time. I-Boost provides substantially higher prediction accuracy than existing
Externí odkaz:
https://doaj.org/article/cf9f5072a2aa4133b9f3e6be1fd292e1
Autor:
Bridget M Lin, Kelsey E Grinde, Jennifer A Brody, Charles E Breeze, Laura M Raffield, Josyf C Mychaleckyj, Timothy A Thornton, James A Perry, Leslie J Baier, Lisa de las Fuentes, Xiuqing Guo, Benjamin D Heavner, Robert L Hanson, Yi-Jen Hung, Huijun Qian, Chao A Hsiung, Shih-Jen Hwang, Margaret R Irvin, Deepti Jain, Tanika N Kelly, Sayuko Kobes, Leslie Lange, James P Lash, Yun Li, Xiaoming Liu, Xuenan Mi, Solomon K Musani, George J Papanicolaou, Afshin Parsa, Alex P Reiner, Shabnam Salimi, Wayne H-H Sheu, Alan R Shuldiner, Kent D Taylor, Albert V Smith, Jennifer A Smith, Adrienne Tin, Dhananjay Vaidya, Robert B Wallace, Kenichi Yamamoto, Saori Sakaue, Koichi Matsuda, Yoichiro Kamatani, Yukihide Momozawa, Lisa R Yanek, Betsi A Young, Wei Zhao, Yukinori Okada, Gonzalo Abecasis, Bruce M Psaty, Donna K Arnett, Eric Boerwinkle, Jianwen Cai, Ida Yii-Der Chen, Adolfo Correa, L Adrienne Cupples, Jiang He, Sharon LR Kardia, Charles Kooperberg, Rasika A Mathias, Braxton D Mitchell, Deborah A Nickerson, Steve T Turner, Vasan S Ramachandran, Jerome I Rotter, Daniel Levy, Holly J Kramer, Anna Köttgen, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, TOPMed Kidney Working Group, Stephen S Rich, Dan-Yu Lin, Sharon R Browning, Nora Franceschini
Publikováno v:
EBioMedicine, Vol 63, Iss , Pp 103157- (2021)
Background: Genetic factors that influence kidney traits have been understudied for low frequency and ancestry-specific variants. Methods: We combined whole genome sequencing (WGS) data from 23,732 participants from 10 NHLBI Trans-Omics for Precision
Externí odkaz:
https://doaj.org/article/c8ad41d9f4814d95a145fccc6f715b67