Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Bryan C. Quach"'
Autor:
Amy Moore, Jesse A. Marks, Bryan C. Quach, Yuelong Guo, Laura J. Bierut, Nathan C. Gaddis, Dana B. Hancock, Grier P. Page, Eric O. Johnson
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-14 (2023)
Abstract Where sufficiently large genome-wide association study (GWAS) samples are not currently available or feasible, methods that leverage increasing knowledge of the biological function of variants may illuminate discoveries without increasing sa
Externí odkaz:
https://doaj.org/article/94b3cb58479548ce83e501a5b657bb9f
Autor:
Bryan C. Quach, Michael J. Bray, Nathan C. Gaddis, Mengzhen Liu, Teemu Palviainen, Camelia C. Minica, Stephanie Zellers, Richard Sherva, Fazil Aliev, Michael Nothnagel, Kendra A. Young, Jesse A. Marks, Hannah Young, Megan U. Carnes, Yuelong Guo, Alex Waldrop, Nancy Y. A. Sey, Maria T. Landi, Daniel W. McNeil, Dmitriy Drichel, Lindsay A. Farrer, Christina A. Markunas, Jacqueline M. Vink, Jouke-Jan Hottenga, William G. Iacono, Henry R. Kranzler, Nancy L. Saccone, Michael C. Neale, Pamela Madden, Marcella Rietschel, Mary L. Marazita, Matthew McGue, Hyejung Won, Georg Winterer, Richard Grucza, Danielle M. Dick, Joel Gelernter, Neil E. Caporaso, Timothy B. Baker, Dorret I. Boomsma, Jaakko Kaprio, John E. Hokanson, Scott Vrieze, Laura J. Bierut, Eric O. Johnson, Dana B. Hancock
Publikováno v:
Nature Communications, Vol 11, Iss 1, Pp 1-13 (2020)
There is strong genetic evidence for cigarette smoking behaviors, yet little is known on nicotine dependence (ND). Here, the authors perform a genome-wide association study on ND in 58,000 smokers, identifying five genome-wide significant loci.
Externí odkaz:
https://doaj.org/article/508c732e509b4270b0f67aeb1af54d38
Autor:
Fang Chen, Xingyan Wang, Seon-Kyeong Jang, Bryan C. Quach, J. Dylan Weissenkampen, Chachrit Khunsriraksakul, Lina Yang, Renan Sauteraud, Christine M. Albert, Nicholette D. D. Allred, Donna K. Arnett, Allison E. Ashley-Koch, Kathleen C. Barnes, R. Graham Barr, Diane M. Becker, Lawrence F. Bielak, Joshua C. Bis, John Blangero, Meher Preethi Boorgula, Daniel I. Chasman, Sameer Chavan, Yii-Der I. Chen, Lee-Ming Chuang, Adolfo Correa, Joanne E. Curran, Sean P. David, Lisa de las Fuentes, Ranjan Deka, Ravindranath Duggirala, Jessica D. Faul, Melanie E. Garrett, Sina A. Gharib, Xiuqing Guo, Michael E. Hall, Nicola L. Hawley, Jiang He, Brian D. Hobbs, John E. Hokanson, Chao A. Hsiung, Shih-Jen Hwang, Thomas M. Hyde, Marguerite R. Irvin, Andrew E. Jaffe, Eric O. Johnson, Robert Kaplan, Sharon L. R. Kardia, Joel D. Kaufman, Tanika N. Kelly, Joel E. Kleinman, Charles Kooperberg, I-Te Lee, Daniel Levy, Sharon M. Lutz, Ani W. Manichaikul, Lisa W. Martin, Olivia Marx, Stephen T. McGarvey, Ryan L. Minster, Matthew Moll, Karine A. Moussa, Take Naseri, Kari E. North, Elizabeth C. Oelsner, Juan M. Peralta, Patricia A. Peyser, Bruce M. Psaty, Nicholas Rafaels, Laura M. Raffield, Muagututi’a Sefuiva Reupena, Stephen S. Rich, Jerome I. Rotter, David A. Schwartz, Aladdin H. Shadyab, Wayne H-H. Sheu, Mario Sims, Jennifer A. Smith, Xiao Sun, Kent D. Taylor, Marilyn J. Telen, Harold Watson, Daniel E. Weeks, David R. Weir, Lisa R. Yanek, Kendra A. Young, Kristin L. Young, Wei Zhao, Dana B. Hancock, Bibo Jiang, Scott Vrieze, Dajiang J. Liu
Publikováno v:
Nature genetics, vol 55, iss 2
Most transcriptome-wide association studies (TWASs) so far focus on European ancestry and lack diversity. To overcome this limitation, we aggregated genome-wide association study (GWAS) summary statistics, whole-genome sequences and expression quanti
Autor:
Nancy Y. A. Sey, Benxia Hu, Marina Iskhakova, Sool Lee, Huaigu Sun, Neda Shokrian, Gabriella Ben Hutta, Jesse A. Marks, Bryan C. Quach, Eric O. Johnson, Dana B. Hancock, Schahram Akbarian, Hyejung Won
Publikováno v:
Mol Psychiatry
Cigarette smoking and alcohol use are among the most prevalent substances used worldwide and account for a substantial proportion of preventable morbidity and mortality, underscoring the public health significance of understanding their etiology. Gen
Autor:
Olivia Corradin, Richard Sallari, An T. Hoang, Bibi S. Kassim, Gabriella Ben Hutta, Lizette Cuoto, Bryan C. Quach, Katreya Lovrenert, Cameron Hays, Berkley E. Gryder, Marina Iskhakova, Hannah Cates, Yanwei Song, Cynthia F. Bartels, Dana B. Hancock, Deborah C. Mash, Eric O. Johnson, Schahram Akbarian, Peter C. Scacheri
Publikováno v:
Molecular Psychiatry. 27:2158-2170
Autor:
Bradley E. Aouizerat, Josephine N. Garcia, Carlos V. Domingues, Ke Xu, Bryan C. Quach, Grier P. Page, Deborah Konkle-Parker, Hector H. Bolivar, Cecile D. Lahiri, Elizabeth T. Golub, Mardge H. Cohen, Seble G. Kassaye, Jack DeHovitz, Mark H. Kuniholm, Nancie M. Archin, Phyllis C. Tien, Dana B. Hancock, Eric Otto Johnson
BackgroundWith the success of combination antiretroviral therapy, HIV is now treated as a chronic disease, including among drug users. Cocaine—one of the most frequently abused illicit drugs among persons living with HIV (PLWH)— slows the decline
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::dc7ebde782b827fe6b475ddb000340ec
https://doi.org/10.1101/2022.03.31.22272986
https://doi.org/10.1101/2022.03.31.22272986
Autor:
Amy Moore, Jesse Marks, Bryan C. Quach, Yuelong Guo, Laura J. Bierut, Nathan C. Gaddis, Dana B. Hancock, Grier P. Page, Eric O. Johnson
Where sufficiently large genome-wide association study (GWAS) samples are not currently available or feasible, methods that leverage increasing knowledge of the biological function of variants may illuminate discoveries without increasing sample size
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0338ded80ca434521972bc43b9b2f292
https://doi.org/10.1101/2022.01.10.475153
https://doi.org/10.1101/2022.01.10.475153
Autor:
Nicholas G. Martin, Louisa Degenhardt, Emma C. Johnson, Bernice Porjesz, Linran Zhou, Dieter B. Wildenauer, Erin Kelty, Nathan C. Gaddis, Rodney J. Scott, Bryan C. Quach, Tatiana Foroud, Alex Waldrop, Brion S. Maher, Ravi Mathur, Joel Gelernter, Matthew Randesi, Sibylle G. Schwab, Laura J. Bierut, Dana B. Hancock, Gary K. Hulse, Henry R. Kranzler, Mark McEvoy, Miriam Adelson, Leah Wetherill, Orna Levran, Jesse Marks, Hang Zhou, Elizabeth G. Holliday, Elliot C. Nelson, Bradley Todd Webb, Richard C. Crist, Dongbing Lai, Howard J. Edenberg, Mary Jeanne Kreek, Kathleen K. Bucholz, Paul W. Jeffries, Wade H Berrettini, Eric O. Johnson, Arpana Agrawal, Grant W. Montgomery, John Attia, Richard Gruza
Opioid addiction (OA) has strong heritability, yet few genetic variant associations have been robustly identified. Only rs1799971, the A118G variant inOPRM1, has been identified as a genome-wide significant association with OA and independently repli
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0d914995f05b183ad742e3b3cb060e41
https://doi.org/10.1101/2021.09.13.21263503
https://doi.org/10.1101/2021.09.13.21263503
Autor:
Olivia, Corradin, Richard, Sallari, An T, Hoang, Bibi S, Kassim, Gabriella, Ben Hutta, Lizette, Cuoto, Bryan C, Quach, Katreya, Lovrenert, Cameron, Hays, Berkley E, Gryder, Marina, Iskhakova, Hannah, Cates, Yanwei, Song, Cynthia F, Bartels, Dana B, Hancock, Deborah C, Mash, Eric O, Johnson, Schahram, Akbarian, Peter C, Scacheri
Publikováno v:
Molecular psychiatry. 27(4)
Opioid use disorder is a highly heterogeneous disease driven by a variety of genetic and environmental risk factors which have yet to be fully elucidated. Opioid overdose, the most severe outcome of opioid use disorder, remains the leading cause of a
Autor:
Marina Iskhakova, Yanwei Song, An Hoang, Lizette Cuoto, Schahram Akbarian, Cynthia F. Bartels, Peter C. Scacheri, Katreya Lovrenert, Berkley E. Gryder, Dana B. Hancock, Bryan C. Quach, Bibi Kassim, Hannah M. Cates, Olivia Corradin, Richard C Sallari, Deborah Mash, Eric O. Johnson, Gabriella Hutta, Cameron Hays
Opioid dependence is a highly heterogeneous disease driven by a variety of genetic and environmental risk factors which have yet to be fully elucidated. We interrogated the effects of opioid dependence on the brain using ChIP-seq to quantify patterns
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::315d8aeade50020b59c0506793c5b9db
https://doi.org/10.1101/2021.06.15.447736
https://doi.org/10.1101/2021.06.15.447736