8 results on '"Lai, Dongbing"'
Number of results to display per page
Search Results
2. RNA alternative splicing impacts the risk for alcohol use disorder
- Author
-
Li, Rudong, Reiter, Jill L., Chen, Andy B., Chen, Steven X., Foroud, Tatiana, Edenberg, Howard J., Lai, Dongbing, and Liu, Yunlong
- Published
- 2023
- Full Text
- View/download PDF
3. Leveraging genome-wide data to investigate differences between opioid use vs. opioid dependence in 41,176 individuals from the Psychiatric Genomics Consortium
- Author
-
Polimanti, Renato, Walters, Raymond K, Johnson, Emma C, McClintick, Jeanette N, Adkins, Amy E, Adkins, Daniel E, Bacanu, Silviu-Alin, Bierut, Laura J, Bigdeli, Tim B, Brown, Sandra, Bucholz, Kathleen K, Copeland, William E, Costello, E Jane, Degenhardt, Louisa, Farrer, Lindsay A, Foroud, Tatiana M, Fox, Louis, Goate, Alison M, Grucza, Richard, Hack, Laura M, Hancock, Dana B, Hartz, Sarah M, Heath, Andrew C, Hewitt, John K, Hopfer, Christian J, Johnson, Eric O, Kendler, Kenneth S, Kranzler, Henry R, Krauter, Kenneth, Lai, Dongbing, Madden, Pamela AF, Martin, Nicholas G, Maes, Hermine H, Nelson, Elliot C, Peterson, Roseann E, Porjesz, Bernice, Riley, Brien P, Saccone, Nancy, Stallings, Michael, Wall, Tamara L, Webb, Bradley T, Wetherill, Leah, Edenberg, Howard J, Agrawal, Arpana, and Gelernter, Joel
- Subjects
Biological Psychology ,Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Psychology ,Drug Abuse (NIDA only) ,Substance Misuse ,Neurosciences ,Brain Disorders ,Human Genome ,Genetics ,Mental Health ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Good Health and Well Being ,Analgesics ,Opioid ,Behavior ,Addictive ,Female ,Genetic Predisposition to Disease ,Genetic Variation ,Genome ,Human ,Genome-Wide Association Study ,Genomics ,Humans ,Male ,Multifactorial Inheritance ,Opioid-Related Disorders ,Psychiatric Genomics Consortium Substance Use Disorders Workgroup ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Clinical sciences ,Biological psychology ,Clinical and health psychology - Abstract
To provide insights into the biology of opioid dependence (OD) and opioid use (i.e., exposure, OE), we completed a genome-wide analysis comparing 4503 OD cases, 4173 opioid-exposed controls, and 32,500 opioid-unexposed controls, including participants of European and African descent (EUR and AFR, respectively). Among the variants identified, rs9291211 was associated with OE (exposed vs. unexposed controls; EUR z = -5.39, p = 7.2 × 10-8). This variant regulates the transcriptomic profiles of SLC30A9 and BEND4 in multiple brain tissues and was previously associated with depression, alcohol consumption, and neuroticism. A phenome-wide scan of rs9291211 in the UK Biobank (N > 360,000) found association of this variant with propensity to use dietary supplements (p = 1.68 × 10-8). With respect to the same OE phenotype in the gene-based analysis, we identified SDCCAG8 (EUR + AFR z = 4.69, p = 10-6), which was previously associated with educational attainment, risk-taking behaviors, and schizophrenia. In addition, rs201123820 showed a genome-wide significant difference between OD cases and unexposed controls (AFR z = 5.55, p = 2.9 × 10-8) and a significant association with musculoskeletal disorders in the UK Biobank (p = 4.88 × 10-7). A polygenic risk score (PRS) based on a GWAS of risk-tolerance (n = 466,571) was positively associated with OD (OD vs. unexposed controls, p = 8.1 × 10-5; OD cases vs. exposed controls, p = 0.054) and OE (exposed vs. unexposed controls, p = 3.6 × 10-5). A PRS based on a GWAS of neuroticism (n = 390,278) was positively associated with OD (OD vs. unexposed controls, p = 3.2 × 10-5; OD vs. exposed controls, p = 0.002) but not with OE (p = 0.67). Our analyses highlight the difference between dependence and exposure and the importance of considering the definition of controls in studies of addiction.
- Published
- 2020
4. A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior
- Author
-
Meyers, Jacquelyn L., Zhang, Jian, Chorlian, David B., Pandey, Ashwini K., Kamarajan, Chella, Wang, Jen-Chyong, Wetherill, Leah, Lai, Dongbing, Chao, Michael, Chan, Grace, Kinreich, Sivan, Kapoor, Manav, Bertelsen, Sarah, McClintick, Jeanette, Bauer, Lance, Hesselbrock, Victor, Kuperman, Samuel, Kramer, John, Salvatore, Jessica E., Dick, Danielle M., Agrawal, Arpana, Foroud, Tatiana, Edenberg, Howard J., Goate, Alison, and Porjesz, Bernice
- Published
- 2021
- Full Text
- View/download PDF
5. Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders
- Author
-
Rao, Xi, Thapa, Kriti S., Chen, Andy B., Lin, Hai, Gao, Hongyu, Reiter, Jill L., Hargreaves, Katherine A., Ipe, Joseph, Lai, Dongbing, Xuei, Xiaoling, Wang, Yue, Gu, Hongmei, Kapoor, Manav, Farris, Sean P., Tischfield, Jay, Foroud, Tatiana, Goate, Alison M., Skaar, Todd C., Mayfield, R. Dayne, Edenberg, Howard J., and Liu, Yunlong
- Published
- 2021
- Full Text
- View/download PDF
6. A genome-wide association study of interhemispheric theta EEG coherence: implications for neural connectivity and alcohol use behavior
- Author
-
Meyers, Jacquelyn L., primary, Zhang, Jian, additional, Chorlian, David B., additional, Pandey, Ashwini K., additional, Kamarajan, Chella, additional, Wang, Jen-Chyong, additional, Wetherill, Leah, additional, Lai, Dongbing, additional, Chao, Michael, additional, Chan, Grace, additional, Kinreich, Sivan, additional, Kapoor, Manav, additional, Bertelsen, Sarah, additional, McClintick, Jeanette, additional, Bauer, Lance, additional, Hesselbrock, Victor, additional, Kuperman, Samuel, additional, Kramer, John, additional, Salvatore, Jessica E., additional, Dick, Danielle M., additional, Agrawal, Arpana, additional, Foroud, Tatiana, additional, Edenberg, Howard J., additional, Goate, Alison, additional, and Porjesz, Bernice, additional
- Published
- 2020
- Full Text
- View/download PDF
7. Allele-specific expression and high-throughput reporter assay reveal functional genetic variants associated with alcohol use disorders
- Author
-
Rao, Xi, primary, Thapa, Kriti S., additional, Chen, Andy B., additional, Lin, Hai, additional, Gao, Hongyu, additional, Reiter, Jill L., additional, Hargreaves, Katherine A., additional, Ipe, Joseph, additional, Lai, Dongbing, additional, Xuei, Xiaoling, additional, Wang, Yue, additional, Gu, Hongmei, additional, Kapoor, Manav, additional, Farris, Sean P., additional, Tischfield, Jay, additional, Foroud, Tatiana, additional, Goate, Alison M., additional, Skaar, Todd C., additional, Mayfield, R. Dayne, additional, Edenberg, Howard J., additional, and Liu, Yunlong, additional
- Published
- 2019
- Full Text
- View/download PDF
8. Meta-analysis of up to 622,409 individuals identifies 40 novel smoking behaviour associated genetic loci
- Author
-
Erzurumluoglu, A. Mesut, Liu, Mengzhen, Jackson, Victoria E., Barnes, Daniel R., Datta, Gargi, Melbourne, Carl A., Young, Robin, Batini, Chiara, Surendran, Praveen, Jiang, Tao, Adnan, Sheikh Daud, Afaq, Saima, Agrawal, Arpana, Altmaier, Elisabeth, Antoniou, Antonis C., Asselbergs, Folkert W., Baumbach, Clemens, Bierut, Laura, Bertelsen, Sarah, Boehnke, Michael, Bots, Michiel L., Brazel, David M, Chambers, John C., Chang-Claude, Jenny, Chen, Chu, Corley, Janie, Chou, Yi-Ling, David, Sean P., de Boer, Rudolf A., de Leeuw, Christiaan A., Dennis, Joe G., Dominiczak, Anna F., Dunning, Alison M., Easton, Douglas F., Eaton, Charles, Elliott, Paul, Evangelou, Evangelos, Faul, Jessica D., Foroud, Tatiana, Goate, Alison, Gong, Jian, Grabe, Hans J., Haessler, Jeff, Haiman, Christopher, Hallmans, Göran, Hammerschlag, Anke R., Harris, Sarah E., Hattersley, Andrew, Heath, Andrew, Hsu, Chris, Iacono, William G., Kanoni, Stavroula, Kapoor, Manav, Kaprio, Jaakko, Kardia, Sharon L., Karpe, Fredrik, Kontto, Jukka, Kooner, Jaspal S., Kooperberg, Charles, Kuulasmaa, Kari, Laakso, Markku, Lai, Dongbing, Langenberg, Claudia, Le, Nhung, Lettre, Guillaume, Loukola, Anu, Luan, Jian’an, Madden, Pamela A. F., Mangino, Massimo, Marioni, Riccardo E., Marouli, Eirini, Marten, Jonathan, Martin, Nicholas G., McGue, Matt, Michailidou, Kyriaki, Mihailov, Evelin, Moayyeri, Alireza, Moitry, Marie, Müller-Nurasyid, Martina, Naheed, Aliya, Nauck, Matthias, Neville, Matthew J., Nielsen, Sune Fallgaard, North, Kari, Perola, Markus, Pharoah, Paul D. P., Pistis, Giorgio, Polderman, Tinca J., Posthuma, Danielle, Poulter, Neil, Qaiser, Beenish, Rasheed, Asif, Reiner, Alex, Renström, Frida, Rice, John, Rohde, Rebecca, Rolandsson, Olov, Samani, Nilesh J., Samuel, Maria, Schlessinger, David, Scholte, Steven H, Scott, Robert A., Sever, Peter, Shao, Yaming, Shrine, Nick, Smith, Jennifer A., Starr, John M., Stirrups, Kathleen, Stram, Danielle, Stringham, Heather M., Tachmazidou, Ioanna, Tardif, Jean-Claude, Thompson, Deborah J., Tindle, Hilary A., Tragante, Vinicius, Trompet, Stella, Turcot, Valerie, Tyrrell, Jessica, Vaartjes, Ilonca, van der Leij, Andries R, van der Meer, Peter, Varga, Tibor V., Verweij, Niek, Völzke, Henry, Wareham, Nicholas J., Warren, Helen R., Weir, David R., Weiss, Stefan, Wetherill, Leah, Yaghootkar, Hanieh, Yavas, Ersin, Jiang, Yu, Chen, Fang, Zhan, Xiaowei, Zhang, Weihua, Zhao, Wei, Zhao, Wei, Zhou, Kaixin, Amouyel, Philippe, Blankenberg, Stefan, Caulfield, Mark J., Chowdhury, Rajiv, Cucca, Francesco, Deary, Ian J., Deloukas, Panos, Di Angelantonio, Emanuele, Ferrario, Marco, Ferrières, Jean, Franks, Paul W., Frayling, Tim M., Frossard, Philippe, Hall, Ian P., Hayward, Caroline, Jansson, Jan-Håkan, Jukema, J. Wouter, Kee, Frank, Männistö, Satu, Metspalu, Andres, Munroe, Patricia B., Nordestgaard, Børge Grønne, Palmer, Colin N. A., Salomaa, Veikko, Sattar, Naveed, Spector, Timothy, Strachan, David Peter, van der Harst, Pim, Zeggini, Eleftheria, Saleheen, Danish, Butterworth, Adam S., Wain, Louise V., Abecasis, Goncalo R., Danesh, John, Tobin, Martin D., Vrieze, Scott, Liu, Dajiang J., and Howson, Joanna M. M.
- Abstract
Smoking is a major heritable and modifiable risk factor for many diseases, including cancer, common respiratory disorders and cardiovascular diseases. Fourteen genetic loci have previously been associated with smoking behaviour-related traits. We tested up to 235,116 single nucleotide variants (SNVs) on the exome-array for association with smoking initiation, cigarettes per day, pack-years, and smoking cessation in a fixed effects meta-analysis of up to 61 studies (up to 346,813 participants). In a subset of 112,811 participants, a further one million SNVs were also genotyped and tested for association with the four smoking behaviour traits. SNV-trait associations with P< 5 × 10−8in either analysis were taken forward for replication in up to 275,596 independent participants from UK Biobank. Lastly, a meta-analysis of the discovery and replication studies was performed. Sixteen SNVs were associated with at least one of the smoking behaviour traits (P< 5 × 10−8) in the discovery samples. Ten novel SNVs, including rs12616219 near TMEM182, were followed-up and five of them (rs462779 in REV3L, rs12780116 in CNNM2, rs1190736 in GPR101, rs11539157 in PJA1, and rs12616219 near TMEM182) replicated at a Bonferroni significance threshold (P< 4.5 × 10−3) with consistent direction of effect. A further 35 SNVs were associated with smoking behaviour traits in the discovery plus replication meta-analysis (up to 622,409 participants) including a rare SNV, rs150493199, in CCDC141and two low-frequency SNVs in CEP350and HDGFRP2. Functional follow-up implied that decreased expression of REV3Lmay lower the probability of smoking initiation. The novel loci will facilitate understanding the genetic aetiology of smoking behaviour and may lead to the identification of potential drug targets for smoking prevention and/or cessation.
- Published
- 2020
- Full Text
- View/download PDF
Catalog
Books, media, physical & digital resources
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.