Zobrazeno 1 - 10
of 207
pro vyhledávání: '"Yuanjia Wang"'
Autor:
Lola Cook, Jeanine Schulze, Wendy R. Uhlmann, Jennifer Verbrugge, Karen Marder, Annie J. Lee, Yuanjia Wang, Roy N. Alcalay, Martha Nance, James C. Beck
Publikováno v:
npj Parkinson's Disease, Vol 8, Iss 1, Pp 1-8 (2022)
We have greater knowledge about the genetic contributions to Parkinson’s disease (PD) with major gene discoveries occurring in the last few decades and the identification of risk alleles revealed by genome-wide association studies (GWAS). This has
Externí odkaz:
https://doaj.org/article/44e837bc67e64855aecfd63db578a8e5
Autor:
Solveig K. Sieberts, Jennifer Schaff, Marlena Duda, Bálint Ármin Pataki, Ming Sun, Phil Snyder, Jean-Francois Daneault, Federico Parisi, Gianluca Costante, Udi Rubin, Peter Banda, Yooree Chae, Elias Chaibub Neto, E. Ray Dorsey, Zafer Aydın, Aipeng Chen, Laura L. Elo, Carlos Espino, Enrico Glaab, Ethan Goan, Fatemeh Noushin Golabchi, Yasin Görmez, Maria K. Jaakkola, Jitendra Jonnagaddala, Riku Klén, Dongmei Li, Christian McDaniel, Dimitri Perrin, Thanneer M. Perumal, Nastaran Mohammadian Rad, Erin Rainaldi, Stefano Sapienza, Patrick Schwab, Nikolai Shokhirev, Mikko S. Venäläinen, Gloria Vergara-Diaz, Yuqian Zhang, the Parkinson’s Disease Digital Biomarker Challenge Consortium, Yuanjia Wang, Yuanfang Guan, Daniela Brunner, Paolo Bonato, Lara M. Mangravite, Larsson Omberg
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-12 (2021)
Abstract Consumer wearables and sensors are a rich source of data about patients’ daily disease and symptom burden, particularly in the case of movement disorders like Parkinson’s disease (PD). However, interpreting these complex data into so-cal
Externí odkaz:
https://doaj.org/article/45ee48713e9b4dd591d3f8cc81d31894
Autor:
Deborah R. Glasofer, Alexandra F. Muratore, Evelyn Attia, Peng Wu, Yuanjia Wang, Hillary Minkoff, Teresa Rufin, B. Timothy Walsh, Joanna E. Steinglass
Publikováno v:
Journal of Eating Disorders, Vol 8, Iss 1, Pp 1-10 (2020)
Abstract Background Anorexia nervosa (AN) is a life-threatening psychiatric disorder associated with significant medical and psychosocial impairment. Hospital-based behavioral treatment is an effective intervention in the short-term. However, relapse
Externí odkaz:
https://doaj.org/article/2ffc3444bacc4d3c897ff878834d6871
Publikováno v:
Frontiers in Public Health, Vol 8 (2020)
Countries around the globe have implemented unprecedented measures to mitigate the coronavirus disease 2019 (COVID-19) pandemic. We aim to predict the COVID-19 disease course and compare the effectiveness of mitigation measures across countries to in
Externí odkaz:
https://doaj.org/article/a2378abd353e41f9a49636fb3e7b1c63
Publikováno v:
International Journal of Molecular Sciences, Vol 22, Iss 13, p 6777 (2021)
The liver is an organ with impressive regenerative potential and has been shown to heal sizable portions after their removal. However, certain diseases can overstimulate its potential to self-heal and cause excessive cellular matrix and collagen buil
Externí odkaz:
https://doaj.org/article/d707d5e94b7a4a92a6c84263bab97fce
Autor:
Xiang Li, Shanghong Xie, Peter McColgan, Sarah J. Tabrizi, Rachael I. Scahill, Donglin Zeng, Yuanjia Wang
Publikováno v:
Frontiers in Genetics, Vol 9 (2018)
The identification of causal relationships between random variables from large-scale observational data using directed acyclic graphs (DAG) is highly challenging. We propose a new mixed-effects structural equation model (mSEM) framework to estimate s
Externí odkaz:
https://doaj.org/article/6211291622cb4af79ce5cf4024e4167e
Publikováno v:
Journal of Probability and Statistics, Vol 2012 (2012)
Huntington's disease (HD) is a progressive neurodegenerative disorder caused by an expansion of CAG repeats in the IT15 gene. The age-at-onset (AAO) of HD is inversely related to the CAG repeat length and the minimum length thought to cause HD is 36.
Externí odkaz:
https://doaj.org/article/7702cf7245524fe5aace4a4a4c32c07a
Autor:
Qiong Yang, Yuanjia Wang
Publikováno v:
Journal of Probability and Statistics, Vol 2012 (2012)
Multivariate phenotypes are frequently encountered in genetic association studies. The purpose of analyzing multivariate phenotypes usually includes discovery of novel genetic variants of pleiotropy effects, that is, affecting multiple phenotypes, an
Externí odkaz:
https://doaj.org/article/005d70e8dff343fb8a42ff8c32d30888
Publikováno v:
PLoS ONE, Vol 7, Iss 6 (2012)
Externí odkaz:
https://doaj.org/article/79713b5574924be9909c27c023f531b0
Publikováno v:
PLoS ONE, Vol 7, Iss 3, p e32485 (2012)
For many complex traits, single nucleotide polymorphisms (SNPs) identified from genome-wide association studies (GWAS) only explain a small percentage of heritability. Next generation sequencing technology makes it possible to explore unexplained her
Externí odkaz:
https://doaj.org/article/9e14d86dfb1448e48fcdc3ea74c7e7a1