Browsing by Author "Fohner, Alison E."

Now showing 1 - 3 of 3
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    Clinical Pharmacogenetics Implementation Consortium (CPIC) Guideline for CYP2C9 and HLA-B Genotypes and Phenytoin Dosing: 2020 Update
    (Wiley, 2021) Karnes, Jason H.; Rettie, Allan E.; Somogyi, Andrew A.; Huddart, Rachel; Fohner, Alison E.; Formea, Christine M.; Lee, Ming Ta Michael; Llerena, Adrian; Whirl-Carrillo, Michelle; Klein, Teri E.; Phillips, Elizabeth J.; Mintzer, Scott; Gaedigk, Andrea; Caudle, Kelly E.; Callaghan, John T.; Medicine, School of Medicine
    Phenytoin is an antiepileptic drug with a narrow therapeutic index and large interpatient pharmacokinetic variability, partly due to genetic variation in CYP2C9. Furthermore, the variant allele HLA-B*15:02 is associated with an increased risk of Stevens-Johnson syndrome and toxic epidermal necrolysis in response to phenytoin treatment. We summarize evidence from the published literature supporting these associations and provide therapeutic recommendations for the use of phenytoin based on CYP2C9 and/or HLA-B genotypes (updates on cpicpgx.org).
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    Genome-wide meta-analyses reveal novel loci for verbal short-term memory and learning
    (Springer Nature, 2022) Lahti, Jari; Tuominen, Samuli; Yang, Qiong; Pergola, Giulio; Ahmad, Shahzad; Amin, Najaf; Armstrong, Nicola J.; Beiser, Alexa; Bey, Katharina; Bis, Joshua C.; Boerwinkle, Eric; Bressler, Jan; Campbell, Archie; Campbell, Harry; Chen, Qiang; Corley, Janie; Cox, Simon R.; Davies, Gail; De Jager, Philip L.; Derks, Eske M.; Faul, Jessica D.; Fitzpatrick, Annette L.; Fohner, Alison E.; Ford, Ian; Fornage, Myriam; Gerring, Zachary; Grabe, Hans J.; Grodstein, Francine; Gudnason, Vilmundur; Simonsick, Eleanor; Holliday, Elizabeth G.; Joshi, Peter K.; Kajantie, Eero; Kaprio, Jaakko; Karell, Pauliina; Kleineidam, Luca; Knol, Maria J.; Kochan, Nicole A.; Kwok, John B.; Leber, Markus; Lam, Max; Lee, Teresa; Li, Shuo; Loukola, Anu; Luck, Tobias; Marioni, Riccardo E.; Mather, Karen A.; Medland, Sarah; Mirza, Saira S.; Nalls, Mike A.; Nho, Kwangsik; O'Donnell, Adrienne; Oldmeadow, Christopher; Painter, Jodie; Pattie, Alison; Reppermund, Simone; Risacher, Shannon L.; Rose, Richard J.; Sadashivaiah, Vijay; Scholz, Markus; Satizabal, Claudia L.; Schofield, Peter W.; Schraut, Katharina E.; Scott, Rodney J.; Simino, Jeannette; Smith, Albert V.; Smith, Jennifer A.; Stott, David J.; Surakka, Ida; Teumer, Alexander; Thalamuthu, Anbupalam; Trompet, Stella; Turner, Stephen T.; van der Lee, Sven J.; Villringer, Arno; Völker, Uwe; Wilson, Robert S.; Wittfeld, Katharina; Vuoksimaa, Eero; Xia, Rui; Yaffe, Kristine; Yu, Lei; Zare, Habil; Zhao, Wei; Ames, David; Attia, John; Bennett, David A.; Brodaty, Henry; Chasman, Daniel I.; Goldman, Aaron L.; Hayward, Caroline; Ikram, M. Arfan; Jukema, J. Wouter; Kardia, Sharon L.R.; Lencz, Todd; Loeffler, Markus; Mattay, Venkata S.; Palotie, Aarno; Psaty, Bruce M.; Ramirez, Alfredo; Ridker, Paul M.; Riedel-Heller, Steffi G.; Sachdev, Perminder S.; Saykin, Andrew J.; Scherer, Martin; Schofield, Peter R.; Sidney, Stephen; Starr, John M.; Trollor, Julian; Ulrich, William; Wagner, Michael; Weir, David R.; Wilson, James F.; Wright, Margaret J.; Weinberger, Daniel R.; Debette, Stephanie; Eriksson, Johan G.; Mosley, Thomas H., Jr.; Launer, Lenore J.; van Duijn, Cornelia M.; Deary, Ian J.; Seshadri, Sudha; Räikkönen, Katri; Radiology and Imaging Sciences, School of Medicine
    Understanding the genomic basis of memory processes may help in combating neurodegenerative disorders. Hence, we examined the associations of common genetic variants with verbal short-term memory and verbal learning in adults without dementia or stroke (N = 53,637). We identified novel loci in the intronic region of CDH18, and at 13q21 and 3p21.1, as well as an expected signal in the APOE/APOC1/TOMM40 region. These results replicated in an independent sample. Functional and bioinformatic analyses supported many of these loci and further implicated POC1. We showed that polygenic score for verbal learning associated with brain activation in right parieto-occipital region during working memory task. Finally, we showed genetic correlations of these memory traits with several neurocognitive and health outcomes. Our findings suggest a role of several genomic loci in verbal memory processes.
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    Whole Genome Sequencing Analysis of Body Mass Index Identifies Novel African Ancestry-Specific Risk Allele
    (medRxiv, 2023-08-22) Zhang, Xinruo; Brody, Jennifer A.; Graff, Mariaelisa; Highland, Heather M.; Chami, Nathalie; Xu, Hanfei; Wang, Zhe; Ferrier, Kendra; Chittoor, Geetha; Josyula, Navya S.; Li, Xihao; Li, Zilin; Allison, Matthew A.; Becker, Diane M.; Bielak, Lawrence F.; Bis, Joshua C.; Boorgula, Meher Preethi; Bowden, Donald W.; Broome, Jai G.; Buth, Erin J.; Carlson, Christopher S.; Chang, Kyong-Mi; Chavan, Sameer; Chiu, Yen-Feng; Chuang, Lee-Ming; Conomos, Matthew P.; DeMeo, Dawn L.; Du, Margaret; Duggirala, Ravindranath; Eng, Celeste; Fohner, Alison E.; Freedman, Barry I.; Garrett, Melanie E.; Guo, Xiuqing; Haiman, Chris; Heavner, Benjamin D.; Hidalgo, Bertha; Hixson, James E.; Ho, Yuk-Lam; Hobbs, Brian D.; Hu, Donglei; Hui, Qin; Hwu, Chii-Min; Jackson, Rebecca D.; Jain, Deepti; Kalyani, Rita R.; Kardia, Sharon L. R.; Kelly, Tanika N.; Lange, Ethan M.; LeNoir, Michael; Li, Changwei; Marchand, Loic Le; McDonald, Merry-Lynn N.; McHugh, Caitlin P.; Morrison, Alanna C.; Naseri, Take; NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium; O'Connell, Jeffrey; O'Donnell, Christopher J.; Palmer, Nicholette D.; Pankow, James S.; Perry, James A.; Peters, Ulrike; Preuss, Michael H.; Rao, D. C.; Regan, Elizabeth A.; Reupena, Sefuiva M.; Roden, Dan M.; Rodriguez-Santana, Jose; Sitlani, Colleen M.; Smith, Jennifer A.; Tiwari, Hemant K.; Vasan, Ramachandran S.; Wang, Zeyuan; Weeks, Daniel E.; Wessel, Jennifer; Wiggins, Kerri L.; Wilkens, Lynne R.; Wilson, Peter W. F.; Yanek, Lisa R.; Yoneda, Zachary T.; Zhao, Wei; Zöllner, Sebastian; Arnett, Donna K.; Ashley-Koch, Allison E.; Barnes, Kathleen C.; Blangero, John; Boerwinkle, Eric; Burchard, Esteban G.; Carson, April P.; Chasman, Daniel I.; Chen, Yii-Der Ida; Curran, Joanne E.; Fornage, Myriam; Gordeuk, Victor R.; He, Jiang; Heckbert, Susan R.; Hou, Lifang; Irvin, Marguerite R.; Kooperberg, Charles; Minster, Ryan L.; Mitchell, Braxton D.; Nouraie, Mehdi; Psaty, Bruce M.; Raffield, Laura M.; Reiner, Alexander P.; Rich, Stephen S.; Rotter, Jerome I.; Shoemaker, M. Benjamin; Smith, Nicholas L.; Taylor, Kent D.; Telen, Marilyn J.; Weiss, Scott T.; Zhang, Yingze; Heard-Costa, Nancy; Sun, Yan V.; Lin, Xihong; Cupples, L. Adrienne; Lange, Leslie A.; Liu, Ching-Ti; Loos, Ruth J. F.; North, Kari E.; Justice, Anne E.; Biostatistics and Health Data Science, School of Medicine
    Obesity is a major public health crisis associated with high mortality rates. Previous genome-wide association studies (GWAS) investigating body mass index (BMI) have largely relied on imputed data from European individuals. This study leveraged whole-genome sequencing (WGS) data from 88,873 participants from the Trans-Omics for Precision Medicine (TOPMed) Program, of which 51% were of non-European population groups. We discovered 18 BMI-associated signals (P < 5 × 10−9). Notably, we identified and replicated a novel low frequency single nucleotide polymorphism (SNP) in MTMR3 that was common in individuals of African descent. Using a diverse study population, we further identified two novel secondary signals in known BMI loci and pinpointed two likely causal variants in the POC5 and DMD loci. Our work demonstrates the benefits of combining WGS and diverse cohorts in expanding current catalog of variants and genes confer risk for obesity, bringing us one step closer to personalized medicine.