Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Iuliana Ionita-Laza"'
Publikováno v:
Nature Communications, Vol 15, Iss 1, Pp 1-13 (2024)
Abstract Genome-wide association studies (GWAS) for biomarkers important for clinical phenotypes can lead to clinically relevant discoveries. Conventional GWAS for quantitative traits are based on simplified regression models modeling the conditional
Externí odkaz:
https://doaj.org/article/17cce9d3073047729c76d34de3a17795
Autor:
Marcella E. O’Reilly, Sebastian Ho, Johana Coronel, Lucie Zhu, Wen Liu, Chenyi Xue, Eunyoung Kim, Esther Cynn, Caio V. Matias, Rajesh Kumar Soni, Chen Wang, Iuliana Ionita-Laza, Robert C. Bauer, Leila Ross, Yiying Zhang, Silvia Corvera, Susan K. Fried, Muredach P. Reilly
Publikováno v:
Cell Reports, Vol 43, Iss 5, Pp 114240- (2024)
Summary: Adipose tissue remodeling and dysfunction, characterized by elevated inflammation and insulin resistance, play a central role in obesity-related development of type 2 diabetes (T2D) and cardiovascular diseases. Long intergenic non-coding RNA
Externí odkaz:
https://doaj.org/article/577c9a29704b4b8ca143497013362bb5
Autor:
Shiyang Ma, Chen Wang, Atlas Khan, Linxi Liu, James Dalgleish, Krzysztof Kiryluk, Zihuai He, Iuliana Ionita-Laza
Publikováno v:
Genome Biology, Vol 24, Iss 1, Pp 1-28 (2023)
Abstract We propose BIGKnock (BIobank-scale Gene-based association test via Knockoffs), a computationally efficient gene-based testing approach for biobank-scale data, that leverages long-range chromatin interaction data, and performs conditional gen
Externí odkaz:
https://doaj.org/article/1464c73733e54505bfd37e3f1c7e0af0
Autor:
Zihuai He, Linxi Liu, Michael E. Belloy, Yann Le Guen, Aaron Sossin, Xiaoxia Liu, Xinran Qi, Shiyang Ma, Prashnna K. Gyawali, Tony Wyss-Coray, Hua Tang, Chiara Sabatti, Emmanuel Candès, Michael D. Greicius, Iuliana Ionita-Laza
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-16 (2022)
The authors present GhostKnockoff, a method for genome-wide association studies which can be applied to enhance existing and future studies to identify functional variants with weaker statistical effects that might be missed by conventional associati
Externí odkaz:
https://doaj.org/article/8a4affe73e044277a90ea1ba3e8812dc
Autor:
Lili Liu, Atlas Khan, Elena Sanchez-Rodriguez, Francesca Zanoni, Yifu Li, Nicholas Steers, Olivia Balderes, Junying Zhang, Priya Krithivasan, Robert A. LeDesma, Clara Fischman, Scott J. Hebbring, John B. Harley, Halima Moncrieffe, Leah C. Kottyan, Bahram Namjou-Khales, Theresa L. Walunas, Rachel Knevel, Soumya Raychaudhuri, Elizabeth W. Karlson, Joshua C. Denny, Ian B. Stanaway, David Crosslin, Thomas Rauen, Jürgen Floege, Frank Eitner, Zina Moldoveanu, Colin Reily, Barbora Knoppova, Stacy Hall, Justin T. Sheff, Bruce A. Julian, Robert J. Wyatt, Hitoshi Suzuki, Jingyuan Xie, Nan Chen, Xujie Zhou, Hong Zhang, Lennart Hammarström, Alexander Viktorin, Patrik K. E. Magnusson, Ning Shang, George Hripcsak, Chunhua Weng, Tatjana Rundek, Mitchell S. V. Elkind, Elizabeth C. Oelsner, R. Graham Barr, Iuliana Ionita-Laza, Jan Novak, Ali G. Gharavi, Krzysztof Kiryluk
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-17 (2022)
Immunoglobulin A protects against infectious disease and contributes to autoimmune and inflammatory disorders. Here, the authors perform a genome-wide association study for serum IgA levels, identifying 20 genome-wide significant loci, providing new
Externí odkaz:
https://doaj.org/article/a56e340c9bb948a69e4eb08fc8a4c941
Autor:
Diddier Prada, Carolyn J. Crandall, Allison Kupsco, Marianthi-Anna Kioumourtzoglou, James D. Stewart, Duanping Liao, Jeff D. Yanosky, Andrea Ramirez, Jean Wactawski-Wende, Yike Shen, Gary Miller, Iuliana Ionita-Laza, Eric A. Whitsel, Andrea A. Baccarelli
Publikováno v:
EClinicalMedicine, Vol 57, Iss , Pp 101864- (2023)
Summary: Background: Osteoporosis heavily affects postmenopausal women and is influenced by environmental exposures. Determining the impact of criteria air pollutants and their mixtures on bone mineral density (BMD) in postmenopausal women is an urge
Externí odkaz:
https://doaj.org/article/4674d285fee1442b8598ebe7a2400030
Autor:
Stephanie O. Erjavec, Sahar Gelfman, Alexa R. Abdelaziz, Eunice Y. Lee, Isha Monga, Anna Alkelai, Iuliana Ionita-Laza, Lynn Petukhova, Angela M. Christiano
Publikováno v:
Nature Communications, Vol 13, Iss 1, Pp 1-13 (2022)
Common variants have been discovered to be associated with Alopecia Areata; however, rare variants have been less well studied. Here, the authors use whole-exome sequencing to identify associated rare variants in the hair keratin gene KRT82. Further,
Externí odkaz:
https://doaj.org/article/58936acbeeb64f05a18c9a9185f31d6c
Autor:
Danqing Xu, Chen Wang, Atlas Khan, Ning Shang, Zihuai He, Adam Gordon, Iftikhar J. Kullo, Shawn Murphy, Yizhao Ni, Wei-Qi Wei, Ali Gharavi, Krzysztof Kiryluk, Chunhua Weng, Iuliana Ionita-Laza
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract Labeling clinical data from electronic health records (EHR) in health systems requires extensive knowledge of human expert, and painstaking review by clinicians. Furthermore, existing phenotyping algorithms are not uniformly applied across l
Externí odkaz:
https://doaj.org/article/bd5ab1833d77497f9aa19329c049a17d
Autor:
Zihuai He, Linxi Liu, Chen Wang, Yann Le Guen, Justin Lee, Stephanie Gogarten, Fred Lu, Stephen Montgomery, Hua Tang, Edwin K. Silverman, Michael H. Cho, Michael Greicius, Iuliana Ionita-Laza
Publikováno v:
Nature Communications, Vol 12, Iss 1, Pp 1-18 (2021)
Association analyses that capture rare and noncoding variants in whole genome sequencing data are limited by factors like statistical power. Here, the authors present KnockoffScreen, a statistical method using the knockoff framework to detect, locali
Externí odkaz:
https://doaj.org/article/ecd27486fdc04053bfaf9a54c6671fc9
Autor:
Ning Shang, Atlas Khan, Fernanda Polubriaginof, Francesca Zanoni, Karla Mehl, David Fasel, Paul E. Drawz, Robert J. Carrol, Joshua C. Denny, Matthew A. Hathcock, Adelaide M. Arruda-Olson, Peggy L. Peissig, Richard A. Dart, Murray H. Brilliant, Eric B. Larson, David S. Carrell, Sarah Pendergrass, Shefali Setia Verma, Marylyn D. Ritchie, Barbara Benoit, Vivian S. Gainer, Elizabeth W. Karlson, Adam S. Gordon, Gail P. Jarvik, Ian B. Stanaway, David R. Crosslin, Sumit Mohan, Iuliana Ionita-Laza, Nicholas P. Tatonetti, Ali G. Gharavi, George Hripcsak, Chunhua Weng, Krzysztof Kiryluk
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-13 (2021)
Abstract Chronic Kidney Disease (CKD) represents a slowly progressive disorder that is typically silent until late stages, but early intervention can significantly delay its progression. We designed a portable and scalable electronic CKD phenotype to
Externí odkaz:
https://doaj.org/article/24b3c498eb59459db6ee0b4a55ddf3e3