Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Linqing Wei"'
Autor:
Rachael V. Phillips, Linqing Wei, Andres Cardenas, Alan E. Hubbard, Cliona M. McHale, Roel Vermeulen, Hu Wei, Martyn T. Smith, Luoping Zhang, Qing Lan, Nathaniel Rothman
Publikováno v:
Epigenetics, Vol 17, Iss 13, Pp 2259-2277 (2022)
Sufficient evidence supports a relationship between certain myeloid neoplasms and exposure to benzene or formaldehyde. DNA methylation could underlie benzene- and formaldehyde-induced health outcomes, but data in exposed human populations are limited
Externí odkaz:
https://doaj.org/article/4596ba729e8e48bfacde40d777ec3090
Autor:
Anne K. Bozack, Philippe Boileau, Linqing Wei, Alan E. Hubbard, Fenna C. M. Sillé, Catterina Ferreccio, Johanna Acevedo, Lifang Hou, Vesna Ilievski, Craig M. Steinmaus, Martyn T. Smith, Ana Navas-Acien, Mary V. Gamble, Andres Cardenas
Publikováno v:
Environmental Health, Vol 20, Iss 1, Pp 1-18 (2021)
Abstract Background Arsenic (As) exposure through drinking water is a global public health concern. Epigenetic dysregulation including changes in DNA methylation (DNAm), may be involved in arsenic toxicity. Epigenome-wide association studies (EWAS) o
Externí odkaz:
https://doaj.org/article/fbd5d178b5c74f218f9bd30850656f17
Autor:
Carolyn A Fahey, Linqing Wei, Prosper F Njau, Siraji Shabani, Sylvester Kwilasa, Werner Maokola, Laura Packel, Zeyu Zheng, Jingshen Wang, Sandra I McCoy
Publikováno v:
PLOS Global Public Health, Vol 2, Iss 9, p e0000720 (2022)
Machine learning methods for health care delivery optimization have the potential to improve retention in HIV care, a critical target of global efforts to end the epidemic. However, these methods have not been widely applied to medical record data in
Externí odkaz:
https://doaj.org/article/f5f5d5902d084af680f69dd03fcf6f80
Autor:
Rachael V. Phillips, Linqing Wei, Andres Cardenas, Alan E. Hubbard, Cliona M. McHale, Roel Vermeulen, Hu Wei, Martyn T. Smith, Luoping Zhang, Qing Lan, Nathaniel Rothman
Publikováno v:
Epigenetics. 17(13)
Sufficient evidence supports a relationship between certain myeloid neoplasms and exposure to benzene or formaldehyde. DNA methylation could underlie benzene- and formaldehyde-induced health outcomes, but data in exposed human populations are limited
Autor:
Fenna C.M. Sillé, Catterina Ferreccio, Johanna Acevedo, Lifang Hou, Philippe Boileau, Andres Cardenas, Martyn T. Smith, Linqing Wei, Vesna Ilievski, Ana Navas-Acien, Alan Hubbard, Anne K. Bozack, Craig Steinmaus, Mary V. Gamble
Publikováno v:
Environmental health : a global access science source, vol 20, iss 1
Environmental Health
Environmental Health, Vol 20, Iss 1, Pp 1-18 (2021)
Environmental Health
Environmental Health, Vol 20, Iss 1, Pp 1-18 (2021)
Background Arsenic (As) exposure through drinking water is a global public health concern. Epigenetic dysregulation including changes in DNA methylation (DNAm), may be involved in arsenic toxicity. Epigenome-wide association studies (EWAS) of arsenic
Autor:
Alex Loguinov, Luoping Zhang, Yun Zhao, Chris D. Vulpe, Amin Sobh, Christopher J. Chang, Abderrahmane Tagmount, Linqing Wei, Cliona M. McHale, Alan Hubbard
Publikováno v:
Chemosphere
Formaldehyde (FA), a ubiquitous environmental pollutant, is classified as a Group I human carcinogen by the International Agency for Research on Cancer. Previously, we reported that FA induced hematotoxicity and chromosomal aneuploidy in exposed work
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2353d0eac6b3ea7f2ca1f50d7a613694
https://escholarship.org/uc/item/3m3116q0
https://escholarship.org/uc/item/3m3116q0
Autor:
Phillips, Rachael V., Linqing Wei, Cardenas, Andres, Hubbard, Alan E., McHale, Cliona M., Vermeulen, Roel, Hu Wei, Smith, Martyn T., Luoping Zhang, Qing Lan, Rothman, Nathaniel
Publikováno v:
Epigenetics; Dec2022, Vol. 17 Issue 13, p2259-2277, 19p
Autor:
Anatol Bragin, Jerome Engel, Stephanie Moy, Shennan A. Weiss, Linqing Wei, Robert T. Knight, Iren Orosz, Richard J. Staba, Noriko Salamon, Itzhak Fried, Ronald M. Harper, Maryse A. Van't Klooster
Publikováno v:
Epilepsia. 57:1916-1930
SummaryObjective Ripples (80–150 Hz) recorded from clinical macroelectrodes have been shown to be an accurate biomarker of epileptogenic brain tissue. We investigated coupling between epileptiform spike phase and ripple amplitude to better understa