34 results on '"Ashley-Koch, A"'
Search Results
2. Analyses of GWAS signal using GRIN identify additional genes contributing to suicidal behavior.
- Author
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Sullivan, Kyle A., Lane, Matthew, Cashman, Mikaela, Miller, J. Izaak, Pavicic, Mirko, Walker, Angelica M., Cliff, Ashley, Romero, Jonathon, Qin, Xuejun, Mullins, Niamh, Docherty, Anna, Coon, Hilary, Ruderfer, Douglas M., Garvin, Michael R., Pestian, John P., Ashley-Koch, Allison E., Beckham, Jean C., McMahon, Benjamin, Oslin, David W., and Kimbrel, Nathan A.
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GENOME-wide association studies ,GENETIC variation ,SUICIDE statistics ,ATTEMPTED suicide ,SUICIDAL behavior - Abstract
Genome-wide association studies (GWAS) identify genetic variants underlying complex traits but are limited by stringent genome-wide significance thresholds. We present GRIN (Gene set Refinement through Interacting Networks), which increases confidence in the expanded gene set by retaining genes strongly connected by biological networks when GWAS thresholds are relaxed. GRIN was validated on both simulated interrelated gene sets as well as multiple GWAS traits. From multiple GWAS summary statistics of suicide attempt, a complex phenotype, GRIN identified additional genes that replicated across independent cohorts and retained biologically interrelated genes despite a relaxed significance threshold. We present a conceptual model of how these retained genes interact through neurobiological pathways that may influence suicidal behavior, and identify existing drugs associated with these pathways that would not have been identified under traditional GWAS thresholds. We demonstrate GRIN's utility in boosting GWAS results by increasing the number of true positive genes identified from GWAS results. Using the software GRIN, GWAS results are refined by reducing false positive genes using biological network topology, allowing users to lower GWAS significance thresholds to identify additional genes associated with complex traits [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
3. Whole-genome sequencing in 333,100 individuals reveals rare non-coding single variant and aggregate associations with height.
- Author
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Hawkes, Gareth, Beaumont, Robin N., Li, Zilin, Mandla, Ravi, Li, Xihao, Albert, Christine M., Arnett, Donna K., Ashley-Koch, Allison E., Ashrani, Aneel A., Barnes, Kathleen C., Boerwinkle, Eric, Brody, Jennifer A., Carson, April P., Chami, Nathalie, Chen, Yii-Der Ida, Chung, Mina K., Curran, Joanne E., Darbar, Dawood, Ellinor, Patrick T., and Fornage, Myrian
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WHOLE genome sequencing ,MINERAL aggregate testing ,HUMAN phenotype ,SEQUENCE analysis ,CHROMOSOMES - Abstract
The role of rare non-coding variation in complex human phenotypes is still largely unknown. To elucidate the impact of rare variants in regulatory elements, we performed a whole-genome sequencing association analysis for height using 333,100 individuals from three datasets: UK Biobank (N = 200,003), TOPMed (N = 87,652) and All of Us (N = 45,445). We performed rare (< 0.1% minor-allele-frequency) single-variant and aggregate testing of non-coding variants in regulatory regions based on proximal-regulatory, intergenic-regulatory and deep-intronic annotation. We observed 29 independent variants associated with height at P < 6 × 10 − 10 after conditioning on previously reported variants, with effect sizes ranging from −7cm to +4.7 cm. We also identified and replicated non-coding aggregate-based associations proximal to HMGA1 containing variants associated with a 5 cm taller height and of highly-conserved variants in MIR497HG on chromosome 17. We have developed an approach for identifying non-coding rare variants in regulatory regions with large effects from whole-genome sequencing data associated with complex traits. Here, the authors perform a rare-variant analysis of whole-genome sequence data that takes advantage of three global biobanks. They identify 29 novel rare variants associated with human height, and demonstrate an approach for identifying non-coding rare variants in regulatory regions with large effects from whole-genome sequencing data. [ABSTRACT FROM AUTHOR]
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- 2024
- Full Text
- View/download PDF
4. Potential causal association between gut microbiome and posttraumatic stress disorder
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He, Qiang, Wang, Wenjing, Xu, Dingkang, Xiong, Yang, Tao, Chuanyuan, You, Chao, Ma, Lu, Ma, Junpeng, Nievergelt, Caroline M., Maihofer, Adam X., Klengel, Torsten, Atkinson, Elizabeth G., Chen, Chia Yen, Choi, Karmel W., Coleman, Jonathan R.I., Dalvie, Shareefa, Duncan, Laramie E., Logue, Mark W., Provost, Allison C., Ratanatharathorn, Andrew, Stein, Murray B., Torres, Katy, Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Søren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Børglum, Anders D., Bradley, Bekh, Brashear, Megan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas-de-Almeida, José M., Dale, Anders M., Daly, Mark J., Daskalakis, Nikolaos P., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Dzubur-Kulenovic, Alma, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles, Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Harnal, Supriya, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M.J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue Jun, Junglen, Angela G., Karstoft, Karen Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A.M., Lewis, Catrin E., Linnstaedt, Sarah D., Lori, Adriana, He, Qiang, Wang, Wenjing, Xu, Dingkang, Xiong, Yang, Tao, Chuanyuan, You, Chao, Ma, Lu, Ma, Junpeng, Nievergelt, Caroline M., Maihofer, Adam X., Klengel, Torsten, Atkinson, Elizabeth G., Chen, Chia Yen, Choi, Karmel W., Coleman, Jonathan R.I., Dalvie, Shareefa, Duncan, Laramie E., Logue, Mark W., Provost, Allison C., Ratanatharathorn, Andrew, Stein, Murray B., Torres, Katy, Aiello, Allison E., Almli, Lynn M., Amstadter, Ananda B., Andersen, Søren B., Andreassen, Ole A., Arbisi, Paul A., Ashley-Koch, Allison E., Austin, S. Bryn, Avdibegovic, Esmina, Babić, Dragan, Bækvad-Hansen, Marie, Baker, Dewleen G., Beckham, Jean C., Bierut, Laura J., Bisson, Jonathan I., Boks, Marco P., Bolger, Elizabeth A., Børglum, Anders D., Bradley, Bekh, Brashear, Megan, Breen, Gerome, Bryant, Richard A., Bustamante, Angela C., Bybjerg-Grauholm, Jonas, Calabrese, Joseph R., Caldas-de-Almeida, José M., Dale, Anders M., Daly, Mark J., Daskalakis, Nikolaos P., Deckert, Jürgen, Delahanty, Douglas L., Dennis, Michelle F., Disner, Seth G., Domschke, Katharina, Dzubur-Kulenovic, Alma, Erbes, Christopher R., Evans, Alexandra, Farrer, Lindsay A., Feeny, Norah C., Flory, Janine D., Forbes, David, Franz, Carol E., Galea, Sandro, Garrett, Melanie E., Gelaye, Bizu, Gelernter, Joel, Geuze, Elbert, Gillespie, Charles, Uka, Aferdita Goci, Gordon, Scott D., Guffanti, Guia, Hammamieh, Rasha, Harnal, Supriya, Hauser, Michael A., Heath, Andrew C., Hemmings, Sian M.J., Hougaard, David Michael, Jakovljevic, Miro, Jett, Marti, Johnson, Eric Otto, Jones, Ian, Jovanovic, Tanja, Qin, Xue Jun, Junglen, Angela G., Karstoft, Karen Inge, Kaufman, Milissa L., Kessler, Ronald C., Khan, Alaptagin, Kimbrel, Nathan A., King, Anthony P., Koen, Nastassja, Kranzler, Henry R., Kremen, William S., Lawford, Bruce R., Lebois, Lauren A.M., Lewis, Catrin E., Linnstaedt, Sarah D., and Lori, Adriana
- Abstract
Background: The causal effects of gut microbiome and the development of posttraumatic stress disorder (PTSD) are still unknown. This study aimed to clarify their potential causal association using mendelian randomization (MR). Methods: The summary-level statistics for gut microbiome were retrieved from a genome-wide association study (GWAS) of the MiBioGen consortium. As to PTSD, the Freeze 2 datasets were originated from the Psychiatric Genomics Consortium Posttraumatic Stress Disorder Working Group (PGC-PTSD), and the replicated datasets were obtained from FinnGen consortium. Single nucleotide polymorphisms meeting MR assumptions were selected as instrumental variables. The inverse variance weighting (IVW) method was employed as the main approach, supplemented by sensitivity analyses to evaluate potential pleiotropy and heterogeneity and ensure the robustness of the MR results. We also performed reverse MR analyses to explore PTSD’s causal effects on the relative abundances of specific features of the gut microbiome. Results: In Freeze 2 datasets from PGC-PTSD, eight bacterial traits revealed a potential causal association between gut microbiome and PTSD (IVW, all P < 0.05). In addition, Genus.Dorea and genus.Sellimonas were replicated in FinnGen datasets, in which eight bacterial traits revealed a potential causal association between gut microbiome and the occurrence of PTSD. The heterogeneity and pleiotropy analyses further supported the robustness of the IVW findings, providing additional evidence for their reliability. Conclusion: Our study provides the potential causal impact of gut microbiomes on the development of PTSD, shedding new light on the understanding of the dysfunctional gut-brain axis in this disorder. Our findings present novel evidence and call for investigations to confirm the association between their links, as well as to illuminate the underlying mechanisms.
- Published
- 2024
5. Multivariate investigation of aging in mouse models expressing the Alzheimer's protective APOE2 allele: integrating cognitive metrics, brain imaging, and blood transcriptomics.
- Author
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Moon, Hae Sol, Mahzarnia, Ali, Stout, Jacques, Anderson, Robert J., Strain, Madison, Tremblay, Jessica T., Han, Zay Yar, Niculescu, Andrei, MacFarlane, Anna, King, Jasmine, Ashley-Koch, Allison, Clark, Darin, Lutz, Michael W., and Badea, Alexandra
- Subjects
ALZHEIMER'S disease ,TRANSCRIPTOMES ,BRAIN imaging ,LABORATORY mice ,CINGULATE cortex ,SMELL - Abstract
APOE allelic variation is critical in brain aging and Alzheimer's disease (AD). The APOE2 allele associated with cognitive resilience and neuroprotection against AD remains understudied. We employed a multipronged approach to characterize the transition from middle to old age in mice with APOE2 allele, using behavioral assessments, image-derived morphometry and diffusion metrics, structural connectomics, and blood transcriptomics. We used sparse multiple canonical correlation analyses (SMCCA) for integrative modeling, and graph neural network predictions. Our results revealed brain sub-networks associated with biological traits, cognitive markers, and gene expression. The cingulate cortex emerged as a critical region, demonstrating age-associated atrophy and diffusion changes, with higher fractional anisotropy in males and middle-aged subjects. Somatosensory and olfactory regions were consistently highlighted, indicating age-related atrophy and sex differences. The hippocampus exhibited significant volumetric changes with age, with differences between males and females in CA3 and CA1 regions. SMCCA underscored changes in the cingulate cortex, somatosensory cortex, olfactory regions, and hippocampus in relation to cognition and blood-based gene expression. Our integrative modeling in aging APOE2 carriers revealed a central role for changes in gene pathways involved in localization and the negative regulation of cellular processes. Our results support an important role of the immune system and response to stress. This integrative approach offers novel insights into the complex interplay among brain connectivity, aging, and sex. Our study provides a foundation for understanding the impact of APOE2 allele on brain aging, the potential for detecting associated changes in blood markers, and revealing novel therapeutic intervention targets. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
6. Genetic diversity fuels gene discovery for tobacco and alcohol use.
- Author
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Saunders, Gretchen R. B., Wang, Xingyan, Chen, Fang, Jang, Seon-Kyeong, Liu, Mengzhen, Wang, Chen, Gao, Shuang, Jiang, Yu, Khunsriraksakul, Chachrit, Otto, Jacqueline M., Addison, Clifton, Akiyama, Masato, Albert, Christine M., Aliev, Fazil, Alonso, Alvaro, Arnett, Donna K., Ashley-Koch, Allison E., Ashrani, Aneel A., Barnes, Kathleen C., and Barr, R. Graham
- Abstract
Tobacco and alcohol use are heritable behaviours associated with 15% and 5.3% of worldwide deaths, respectively, due largely to broad increased risk for disease and injury1–4. These substances are used across the globe, yet genome-wide association studies have focused largely on individuals of European ancestries5. Here we leveraged global genetic diversity across 3.4 million individuals from four major clines of global ancestry (approximately 21% non-European) to power the discovery and fine-mapping of genomic loci associated with tobacco and alcohol use, to inform function of these loci via ancestry-aware transcriptome-wide association studies, and to evaluate the genetic architecture and predictive power of polygenic risk within and across populations. We found that increases in sample size and genetic diversity improved locus identification and fine-mapping resolution, and that a large majority of the 3,823 associated variants (from 2,143 loci) showed consistent effect sizes across ancestry dimensions. However, polygenic risk scores developed in one ancestry performed poorly in others, highlighting the continued need to increase sample sizes of diverse ancestries to realize any potential benefit of polygenic prediction.A multi-ancestry meta-regression study analyses diverse genome-wide association studies and genome loci associated with tobacco and alcohol use. [ABSTRACT FROM AUTHOR]
- Published
- 2022
- Full Text
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7. Rare genetic variants explain missing heritability in smoking.
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Jang, Seon-Kyeong, Evans, Luke, Fialkowski, Allison, Arnett, Donna K., Ashley-Koch, Allison E., Barnes, Kathleen C., Becker, Diane M., Bis, Joshua C., Blangero, John, Bleecker, Eugene R., Boorgula, Meher Preethi, Bowden, Donald W., Brody, Jennifer A., Cade, Brian E., Jenkins, Brenda W. Campbell, Carson, April P., Chavan, Sameer, Cupples, L. Adrienne, Custer, Brian, and Damrauer, Scott M.
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- 2022
- Full Text
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8. Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices
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Natarajan, P. (Pradeep), Pampana, A. (Akhil), Graham, S. E. (Sarah E.), Ruotsalainen, S. E. (Sanni E.), Perry, J. A. (James A.), de Vries, P. S. (Paul S.), Broome, J. G. (Jai G.), Pirruccello, J. P. (James P.), Honigbere, M. C. (Michael C.), Aragam, K. (Krishna), Wolford, B. (Brooke), Brody, J. A. (Jennifer A.), Antonacci-Fulton, L. (Lucinda), Arden, M. (Moscati), Aslibekyan, S. (Stella), Assimes, T. L. (Themistocles L.), Ballantyne, C. M. (Christie M.), Bielak, L. F. (Lawrence F.), Bisl, J. C. (Joshua C.), Cade, B. E. (Brian E.), Do, R. (Ron), Doddapaneni, H. (Harsha), Emery, L. S. (Leslie S.), Hung, Y.-J. (Yi-Jen), Irvin, M. R. (Marguerite R.), Khan, A. T. (Alyna T.), Lange, L. (Leslie), Lee, J. (Jiwon), Lemaitre, R. N. (Rozenn N.), Martin, L. W. (Lisa W.), Metcalf, G. (Ginger), Montasser, M. E. (May E.), Moon, J.-Y. (Jee-Young), Muzny, D. (Donna), Connell, J. R. (Jeffrey R. O.), Palmer, N. D. (Nicholette D.), Peralta, J. M. (Juan M.), Peyser, P. A. (Patricia A.), Stilp, A. M. (Adrienne M.), Tsai, M. (Michael), Wang, F. F. (Fei Fei), Weeks, D. E. (Daniel E.), Yanek, L. R. (Lisa R.), Wilson, J. G. (James G.), Abecasis, G. (Goncalo), Arnett, D. K. (Donna K.), Becker, L. C. (Lewis C.), Blangercy, J. (John), Boerwinkle, E. (Eric), Bowden, D. W. (Donald W.), Chang, Y.-C. (Yi-Cheng), Chen, Y. I. (Yii-Der, I), Choi, W. J. (Won Jung), Correa, A. (Adolfo), Curran, J. E. (Joanne E.), Daly, M. J. (Mark J.), DutcherE, S. K. (Susan K.), Ellinor, P. T. (Patrick T.), Fornage, M. (Myriam), Freedman, B. I. (Barry, I), Gabriel, S. (Stacey), Germer, S. (Soren), Gibbs, R. A. (Richard A.), He, J. (Jiang), Hveem, K. (Kristian), Jarvik, G. P. (Gail P.), Kaplan, R. C. (Robert C.), Kardia, S. L. (Sharon L. R.), Kennyn, E. (Eimear), Kim, R. W. (Ryan W.), Kooperberg, C. (Charles), Laurie, C. C. (Cathy C.), Lee, S. (Seonwook), Lloyd-Jones, D. M. (Don M.), Loos, R. J. (Ruth J. F.), Lubitz, S. A. (Steven A.), Mathias, R. A. (Rasika A.), Martinez, K. A. (Karine A. Viaud), McGarvey, S. T. (Stephen T.), Mitche, B. D. (Braxton D.), Nickerson, D. A. (Deborah A.), North, K. E. (Kari E.), Palotie, A. (Aarno), Park, C. J. (Cheol Joo), Psat, B. M. (Bruce M. Y.), Rao, D. C. (D. C.), Redline, S. (Susan), Reiner, A. P. (Alexander P.), Seo, D. (Daekwan), Seo, J.-S. (Jeong-Sun), Smith, A. V. (Albert, V), Tracy, R. P. (Russell P.), Kathiresan, S. (Sekar), Cupples, L. A. (L. Adrienne), Rotten, J. I. (Jerome, I), Morrison, A. C. (Alanna C.), Rich, S. S. (Stephen S.), Ripatti, S. (Samuli), Wilier, C. (Cristen), Peloso, G. M. (Gina M.), Vasan, R. S. (Ramachandran S.), Abe, N. (Namiko), Albert, C. (Christine), Almasy, L. (Laura), Alonso, A. (Alvaro), Ament, S. (Seth), Anderson, P. (Peter), Applebaum-Bowden, D. (Deborah), Arking, D. (Dan), Ashley-Koch, A. (Allison), Auer, P. (Paul), Avramopoulos, D. (Dimitrios), Barnard, J. (John), Barnes, K. (Kathleen), Barr, R. G. (R. Graham), Barron-Casella, E. (Emily), Beaty, T. (Terri), Becker, D. (Diane), Beer, R. (Rebecca), Begum, F. (Ferdouse), Beitelshees, A. (Amber), Benjamin, E. (Emelia), Bezerra, M. (Marcos), Bielak, L. (Larry), Blackwel, T. (Thomas), Bowler, R. (Russell), Broecke, U. (Ulrich), Bunting, K. (Karen), Burchard, E. (Esteban), Buth, E. (Erin), Cardwel, J. (Jonathan), Carty, C. (Cara), Casaburi, R. (Richard), Casella, J. (James), Chaffin, M. (Mark), Chang, C. (Christy), Chasman, D. (Daniel), Chavan, S. (Sameer), Chen, B.-J. (Bo-Juen), Chen, W.-M. (Wei-Min), Chol, M. (Michael), Choi, S. H. (Seung Hoan), Chuang, L.-M. (Lee-Ming), Chung, M. (Mina), Conomos, M. P. (Matthew P.), Cornell, E. (Elaine), Crapo, J. (James), Curtis, J. (Jeffrey), Custer, B. (Brian), Damcott, C. (Coleen), Darbar, D. (Dawood), Das, S. (Sayantan), David, S. (Sean), Davis, C. (Colleen), Daya, M. (Michelle), de Andrade, M. (Mariza), DeBaunuo, M. (Michael), Duan, Q. (Qing), Devine, R. D. (Ranjan Deka Dawn DeMeo Scott), Duggirala, Q. R. (Qing Ravi), Durda, J. P. (Jon Peter), Dutcher, S. (Susan), Eaton, C. (Charles), Ekunwe, L. (Lynette), Farber, C. (Charles), Farnaml, L. (Leanna), Fingerlin, T. (Tasha), Flickinger, M. (Matthew), Franceschini, N. (Nora), Fu, M. (Mao), Fullerton, S. M. (Stephanie M.), Fulton, L. (Lucinda), Gan, W. (Weiniu), Gao, Y. (Yan), Gass, M. (Margery), Ge, B. (Bruce), Geng, X. P. (Xiaoqi Priscilla), Gignoux, C. (Chris), Gladwin, M. (Mark), Glahn, D. (David), Gogarten, S. (Stephanie), Gong, D.-W. (Da-Wei), Goring, H. (Harald), Gu, C. C. (C. Charles), Guan, Y. (Yue), Guo, X. (Xiuqing), Haessler, J. (Jeff), Hall, M. (Michael), Harris, D. (Daniel), Hawle, N. Y. (Nicola Y.), Heavner, B. (Ben), Heckbert, S. (Susan), Hernandez, R. (Ryan), Herrington, D. (David), Hersh, C. (Craig), Hidalgo, B. (Bertha), Hixson, J. (James), Hokanson, J. (John), Hong, E. (Elliott), Hoth, K. (Karin), Hsiung, C. A. (Chao Agnes), Huston, H. (Haley), Hwu, C. M. (Chii Min), Jackson, R. (Rebecca), Jain, D. (Deepti), Jaquish, C. (Cashell), Jhun, M. A. (Min A.), Johnsen, J. (Jill), Johnson, A. (Andrew), Johnson, C. (Craig), Johnston, R. (Rich), Jones, K. (Kimberly), Kang, H. M. (Hyun Min), Kaufman, L. (Laura), Kell, S. Y. (Shannon Y.), Kessler, M. (Michael), Kinney, G. (Greg), Konkle, B. (Barbara), Kramer, H. (Holly), Krauter, S. (Stephanie), Lange, C. (Christoph), Lange, E. (Ethan), Laurie, C. (Cecelia), LeBoff, M. (Meryl), Lee, S. S. (Seunggeun Shawn), Lee, W.-J. (Wen-Jane), LeFaive, J. (Jonathon), Levine, D. (David), Levy, D. (Dan), Lewis, J. (Joshua), Li, Y. (Yun), Lin, H. (Honghuang), Lin, K. H. (Keng Han), Lin, X. (Xihong), Liu, S. (Simin), Liu, Y. (Yongmei), Lunetta, K. (Kathryn), Luo, J. (James), Mahaney, M. (Michael), Make, B. (Barry), Manichaikul, A. (Ani), Mansonl, J. (JoAnn), Margolin, L. (Lauren), Mathai, S. (Susan), McArdle, P. (Patrick), Mcdonald, M.-L. (Merry-Lynn), McFarland, S. (Sean), McHugh, C. (Caitlin), Mei, H. (Hao), Meyers, D. A. (Deborah A.), Mikulla, J. (Julie), Min, N. (Nancy), Minear, M. (Mollie), Minster, R. L. (Ryan L.), Musani, S. (Solomon), Mwasongwe, S. (Stanford), Mychaleckyj, J. C. (Josyf C.), Nadkarni, G. (Girish), Naik, R. (Rakhi), Naseri, T. (Take), Nekhai, S. (Sergei), Nelson, S. C. (Sarah C.), Nickerson, D. (Deborah), Connell, J. O. (Jeff O.), Connor, T. O. (Tim O.), Ochs-Balcom, H. (Heather), Pankow, J. (James), Papanicolaou, G. (George), Parkerl, M. (Margaret), Parsa, A. (Afshin), Penchey, S. (Sara), Perez, M. (Marco), Peters, U. (Ulrike), Phillips, L. S. (Lawrence S.), Phillips, S. (Sam), Pollin, T. (Toni), Post, W. (Wendy), Becker, J. P. (Julia Powers), Boorgula, M. P. (Meher Preethi), Preuss, M. (Michael), Prokopenko, D. (Dmitry), Qasba, P. (Pankaj), Qiao, D. (Dandi), Rafaels, N. (Nicholas), Raffield, L. (Laura), Rasmussen-Torvik, L. (Laura), Ratan, A. (Aakrosh), Reed, R. (Robert), Reganl, E. (Elizabeth), Reupena, M. S. (Muagututi Sefuiva), Rice, K. (Ken), Roden, D. (Dan), Roselli, C. (Carolina), Ruczinski, I. (Ingo), Russel, P. (Pamela), Ruuska, S. (Sarah), Ryan, K. (Kathleen), Sabino, E. C. (Ester Cerdeira), Sakornsakolpatl, P. (Phuwanat), Salzberg, S. (Steven), Sandow, K. (Kevin), Sankaran, V. G. (Vijay G.), Scheller, C. (Christopher), Schmidt, E. (Ellen), Schwander, K. (Karen), Schwartz, D. (David), Sciurba, F. (Frank), Seidman, C. (Christine), Seidman, J. (Jonathan), Sheehan, V. (Vivien), Shetty, A. (Amol), Shetty, A. (Aniket), Sheu, W. H. (Wayne Hui-Heng), Shoemaker, M. B. (M. Benjamin), Silver, B. (Brian), Silvermanl, E. (Edwin), Smith, J. (Jennifer), Smith, J. (Josh), Smith, N. (Nicholas), Smith, T. (Tanja), Smoller, S. (Sylvia), Snively, B. (Beverly), Soferlm, T. (Tamar), Streeten, E. (Elizabeth), Su, J. L. (Jessica Lasky), Sung, Y. J. (Yun Ju), Sylvia, J. (Jody), Sztalryd, C. (Carole), Taliun, D. (Daniel), Tang, H. (Hua), Taub, M. (Margaret), Taylor, K. D. (Kent D.), Taylor, S. (Simeon), Telen, M. (Marilyn), Thornton, T. A. (Timothy A.), Tinker, L. (Lesley), Tirschwel, D. (David), Tiwari, H. (Hemant), Vaidya, D. (Dhananjay), VandeHaar, P. (Peter), Vrieze, S. (Scott), Walker, T. (Tarik), Wallace, R. (Robert), Waits, A. (Avram), Wan, E. (Emily), Wang, H. (Heming), Watson, K. (Karol), Weir, B. (Bruce), Weiss, S. (Scott), Weng, L.-C. (Lu-Chen), Williams, K. (Kayleen), Williams, L. K. (L. Keoki), Wilson, C. (Carla), Wong, Q. (Quenna), Xu, H. (Huichun), Yang, I. (Ivana), Yang, R. (Rongze), Zaghlou, N. (Norann), Zekavat, M. (Maryam), Zhang, Y. (Yingze), Zhao, S. X. (Snow Xueyan), Zhao, W. (Wei), Zni, D. (Degui), Zhou, X. (Xiang), Zhu, X. (Xiaofeng), Zody, M. (Michael), Zoellner, S. (Sebastian), Daly, M. (Mark), Jacob, H. (Howard), Matakidou, A. (Athena), Runz, H. (Heiko), John, S. (Sally), Plenge, R. (Robert), McCarthy, M. (Mark), Hunkapiller, J. (Julie), Ehm, M. (Meg), Waterworth, D. (Dawn), Fox, C. (Caroline), Malarstig, A. (Anders), Klinger, K. (Kathy), Call, K. (Kathy), Mkel, T. (Tomi), Kaprio, J. (Jaakko), Virolainen, P. (Petri), Pulkki, K. (Kari), Kilpi, T. (Terhi), Perola, M. (Markus), Partanen, J. (Jukka), Pitkranta, A. (Anne), Kaarteenaho, R. (Riitta), Vainio, S. (Seppo), Savinainen, K. (Kimmo), Kosma, V.-M. (Veli-Matti), Kujala, U. (Urho), Tuovila, O. (Outi), Hendolin, M. (Minna), Pakkanen, R. (Raimo), Waring, J. (Jeff), Riley-Gillis, B. (Bridget), Liu, J. (Jimmy), Biswas, S. (Shameek), Diogo, D. (Dorothee), Marshall, C. (Catherine), Hu, X. (Xinli), Gossel, M. (Matthias), Schleutker, J. (Johanna), Arvas, M. (Mikko), Hinttala, R. (Reetta), Kettunen, J. (Johannes), Laaksonen, R. (Reijo), Mannermaa, A. (Arto), Paloneva, J. (Juha), Soininen, H. (Hilkka), Julkunen, V. (Valtteri), Remes, A. (Anne), Klviinen, R. (Reetta), Hiltunen, M. (Mikko), Peltola, J. (Jukka), Tienari, P. (Pentti), Rinne, J. (Juha), Ziemann, A. (Adam), Waring, J. (Jeffrey), Esmaeeli, S. (Sahar), Smaoui, N. (Nizar), Lehtonen, A. (Anne), Eaton, S. (Susan), Landenper, S. (Sanni), Michon, J. (John), Kerchner, G. (Geoff), Bowers, N. (Natalie), Teng, E. (Edmond), Eicher, J. (John), Mehta, V. (Vinay), Gormle, P. Y. (Padhraig Y.), Linden, K. (Kari), Whelan, C. (Christopher), Xu, F. (Fanli), Pulford, D. (David), Frkkil, M. (Martti), Pikkarainen, S. (Sampsa), Jussila, A. (Airi), Blomster, T. (Timo), Kiviniemi, M. (Mikko), Voutilainen, M. (Markku), Georgantas, B. (Bob), Heap, G. (Graham), Rahimov, F. (Fedik), Usiskin, K. (Keith), Maranville, J. (Joseph), Lu, T. (Tim), Oh, D. (Danny), Kalpala, K. (Kirsi), Miller, M. (Melissa), McCarthy, L. (Linda), Eklund, K. (Kari), Palomki, A. (Antti), Isomki, P. (Pia), Piri, L. (Laura), Kaipiainen-Seppnen, O. (Oili), Lertratanaku, A. (Apinya), Bing, D. C. (David Close Marla Hochfeld Nan), Gordillo, J. E. (Jorge Esparza), Mars, N. (Nina), Laitinen, T. (Tarja), Pelkonen, M. (Margit), Kauppi, P. (Paula), Kankaanranta, H. (Hannu), Harju, T. (Terttu), Greenberg, S. (Steven), Chen, H. (Hubert), Betts, J. (Jo), Ghosh, S. (Soumitra), Salomaa, V. (Veikko), Niiranen, T. (Teemu), Juonala, M. (Markus), Metsrinne, K. (Kaj), Khnen, M. (Mika), Junttila, J. (Juhani), Laakso, M. (Markku), Pihlajamki, J. (Jussi), Sinisalo, J. (Juha), Taskinen, M.-R. (Marja-Riitta), Tuomi, T. (Tiinamaija), Laukkanen, J. (Jari), Challis, B. (Ben), Peterson, A. (Andrew), Chu, A. (Audrey), Parkkinen, J. (Jaakko), Muslin, A. (Anthony), Joensuu, H. (Heikki), Meretoja, T. (Tuomo), Aaltonen, L. (Lauri), Auranen, A. (Annika), Karihtala, P. (Peeter), Kauppila, S. (Saila), Auvinen, P. (Pivi), Elenius, K. (Klaus), Popovic, R. (Relja), Schutzman, J. (Jennifer), Loboda, A. (Andrey), Chhibber, A. (Aparna), Lehtonen, H. (Heli), McDonough, S. (Stefan), Crohns, M. (Marika), Kulkarni, D. (Diptee), Kaarniranta, K. (Kai), Turunen, J. (Joni), Ollila, T. (Terhi), Seitsonen, S. (Sanna), Uusitalo, H. (Hannu), Aaltonen, V. (Vesa), Uusitalo-Jrvinen, H. (Hannele), Luodonp, M. (Marja), Hautala, N. (Nina), Strauss, E. (Erich), Chen, H. (Hao), Podgornaia, A. (Anna), Hoffman, J. (Joshua), Tasanen, K. (Kaisa), Huilaja, L. (Laura), Hannula-Jouppi, K. (Katariina), Salmi, T. (Teea), Peltonen, S. (Sirkku), Koulu, L. (Leena), Harvima, I. (Ilkka), Wu, Y. (Ying), Choy, D. (David), Jalanko, A. (Anu), Kajanne, R. (Risto), Lyhs, U. (Ulrike), Kaunisto, M. (Mari), Davis, J. W. (Justin Wade), Quarless, D. (Danjuma), Petrovski, S. (Slav), Chen, C.-Y. (Chia-Yen), Bronson, P. (Paola), Yang, R. (Robert), Chang, D. (Diana), Bhangale, T. (Tushar), Holzinger, E. (Emily), Wang, X. (Xulong), Chen, X. (Xing), Auro, K. (Kirsi), Wang, C. (Clarence), Xu, E. (Ethan), Auge, F. (Franck), Chatelain, C. (Clement), Kurki, M. (Mitja), Karjalainen, J. (Juha), Havulinna, A. (Aki), Palin, K. (Kimmo), Palta, P. (Priit), Parolo, P. D. (Pietro Della Briotta), Zhou, W. (Wei), Lemmel, S. (Susanna), Rivas, M. (Manuel), Harju, J. (Jarmo), Lehisto, A. (Arto), Ganna, A. (Andrea), Llorens, V. (Vincent), Karlsson, A. (Antti), Kristiansson, K. (Kati), Hyvrinen, K. (Kati), Ritari, J. (Jarmo), Wahlfors, T. (Tiina), Koskinen, M. (Miika), Pylkäs, K. (Katri), Kalaoja, M. (Marita), Karjalainen, M. (Minna), Mantere, T. (Tuomo), Kangasniemi, E. (Eeva), Heikkinen, S. (Sami), Laakkonen, E. (Eija), Kononen, J. (Juha), Loukola, A. (Anu), Laiho, P. (Pivi), Sistonen, T. (Tuuli), Kaiharju, E. (Essi), Laukkanen, M. (Markku), Jrvensivu, E. (Elina), Lhteenmki, S. (Sini), Mnnikk, L. (Lotta), Wong, R. (Regis), Mattsson, H. (Hannele), Hiekkalinna, T. (Tero), Jimnez, M. G. (Manuel Gonzlez), Donner, K. (Kati), Prn, K. (KaIle), Nunez-Fontarnau, J. (Javier), Kilpelinen, E. (Elina), Sipi, T. P. (Timo P.), Brein, G. (Georg), Dada, A. (Alexander), Awaisa, G. (Ghazal), Shcherban, A. (Anastasia), Sipil, T. (Tuomas), Laivuori, H. (Hannele), Kiiskinen, T. (Tuomo), Siirtola, H. (Harri), Tabuenca, J. G. (Javier Gracia), Kallio, L. (Lila), Soini, S. (Sirpa), Pitknen, K. (Kimmo), and Kuopio, T. (Teijo)
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Cardiovascular genetics ,Genome-wide association studies - Abstract
Autosomal genetic analyses of blood lipids have yielded key insights for coronary heart disease (CHD). However, X chromosome genetic variation is understudied for blood lipids in large sample sizes. We now analyze genetic and blood lipid data in a high-coverage whole X chromosome sequencing study of 65,322 multi-ancestry participants and perform replication among 456,893 European participants. Common alleles on chromosome Xq23 are strongly associated with reduced total cholesterol, LDL cholesterol, and triglycerides (min P = 8.5 × 10−72), with similar effects for males and females. Chromosome Xq23 lipid-lowering alleles are associated with reduced odds for CHD among 42,545 cases and 591,247 controls (P = 1.7 × 10−4), and reduced odds for diabetes mellitus type 2 among 54,095 cases and 573,885 controls (P = 1.4 × 10−5). Although we observe an association with increased BMI, waist-to-hip ratio adjusted for BMI is reduced, bioimpedance analyses indicate increased gluteofemoral fat, and abdominal MRI analyses indicate reduced visceral adiposity. Co-localization analyses strongly correlate increased CHRDL1 gene expression, particularly in adipose tissue, with reduced concentrations of blood lipids.
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- 2021
9. Neuronal and glial 3D chromatin architecture informs the cellular etiology of brain disorders.
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Hu, Benxia, Won, Hyejung, Mah, Won, Park, Royce B., Kassim, Bibi, Spiess, Keeley, Kozlenkov, Alexey, Crowley, Cheynna A., Pochareddy, Sirisha, The PsychENCODE Consortium, Ashley-Koch, Allison E., Crawford, Gregory E., Garrett, Melanie E., Song, Lingyun, Safi, Alexias, Johnson, Graham D., Wray, Gregory A., Reddy, Timothy E., Goes, Fernando S., and Zandi, Peter
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PLANT chromosomes ,GENE regulatory networks ,GENETIC variation ,INTERNEURONS ,CHROMATIN ,REGULATOR genes ,ETIOLOGY of diseases - Abstract
Cellular heterogeneity in the human brain obscures the identification of robust cellular regulatory networks, which is necessary to understand the function of non-coding elements and the impact of non-coding genetic variation. Here we integrate genome-wide chromosome conformation data from purified neurons and glia with transcriptomic and enhancer profiles, to characterize the gene regulatory landscape of two major cell classes in the human brain. We then leverage cell-type-specific regulatory landscapes to gain insight into the cellular etiology of several brain disorders. We find that Alzheimer's disease (AD)-associated epigenetic dysregulation is linked to neurons and oligodendrocytes, whereas genetic risk factors for AD highlighted microglia, suggesting that different cell types may contribute to disease risk, via different mechanisms. Moreover, integration of glutamatergic and GABAergic regulatory maps with genetic risk factors for schizophrenia (SCZ) and bipolar disorder (BD) identifies shared (parvalbumin-expressing interneurons) and distinct cellular etiologies (upper layer neurons for BD, and deeper layer projection neurons for SCZ). Collectively, these findings shed new light on cell-type-specific gene regulatory networks in brain disorders. The cellular heterogeneity in brain obscures the identification of robust cellular regulatory networks. Here the authors integrate genome-wide chromosome conformation data from sorted neurons and glia, with transcriptomic and enhancer profiles, to characterize cell-type-specific gene regulatory landscapes in the human brain, and provide insights into cell-type-specific gene regulatory networks in brain disorders. [ABSTRACT FROM AUTHOR]
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- 2021
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10. Human myelomeningocele risk and ultra-rare deleterious variants in genes associated with cilium, WNT-signaling, ECM, cytoskeleton and cell migration.
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Au, K. S., Hebert, L., Hillman, P., Baker, C., Brown, M. R., Kim, D.-K., Soldano, K., Garrett, M., Ashley-Koch, A., Lee, S., Gleeson, J., Hixson, J. E., Morrison, A. C., and Northrup, H.
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MYELOMENINGOCELE ,WNT signal transduction ,CYTOSKELETON ,CELL migration ,ENVIRONMENTAL health - Abstract
Myelomeningocele (MMC) affects one in 1000 newborns annually worldwide and each surviving child faces tremendous lifetime medical and caregiving burdens. Both genetic and environmental factors contribute to disease risk but the mechanism is unclear. This study examined 506 MMC subjects for ultra-rare deleterious variants (URDVs, absent in gnomAD v2.1.1 controls that have Combined Annotation Dependent Depletion score ≥ 20) in candidate genes either known to cause abnormal neural tube closure in animals or previously associated with human MMC in the current study cohort. Approximately 70% of the study subjects carried one to nine URDVs among 302 candidate genes. Half of the study subjects carried heterozygous URDVs in multiple genes involved in the structure and/or function of cilium, cytoskeleton, extracellular matrix, WNT signaling, and/or cell migration. Another 20% of the study subjects carried heterozygous URDVs in candidate genes associated with gene transcription regulation, folate metabolism, or glucose metabolism. Presence of URDVs in the candidate genes involving these biological function groups may elevate the risk of developing myelomeningocele in the study cohort. [ABSTRACT FROM AUTHOR]
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- 2021
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11. PCM1 is necessary for focal ciliary integrity and is a candidate for severe schizophrenia.
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Monroe, Tanner O., Garrett, Melanie E., Kousi, Maria, Rodriguiz, Ramona M., Moon, Sungjin, Bai, Yushi, Brodar, Steven C., Soldano, Karen L., Savage, Jeremiah, Hansen, Thomas F., Muzny, Donna M., Gibbs, Richard A., Barak, Lawrence, Sullivan, Patrick F., Ashley-Koch, Allison E., Sawa, Akira, Wetsel, William C., Werge, Thomas, and Katsanis, Nicholas
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G protein coupled receptors ,MUCOCILIARY system ,BEHAVIOR ,DOPAMINE receptors ,SCHIZOPHRENIA ,ARIPIPRAZOLE ,AMISULPRIDE - Abstract
The neuronal primary cilium and centriolar satellites have functions in neurogenesis, but little is known about their roles in the postnatal brain. We show that ablation of pericentriolar material 1 in the mouse leads to progressive ciliary, anatomical, psychomotor, and cognitive abnormalities. RNAseq reveals changes in amine- and G-protein coupled receptor pathways. The physiological relevance of this phenotype is supported by decreased available dopamine D2 receptor (D2R) levels and the failure of antipsychotic drugs to rescue adult behavioral defects. Immunoprecipitations show an association with Pcm1 and D2Rs. Finally, we sequence PCM1 in two human cohorts with severe schizophrenia. Systematic modeling of all discovered rare alleles by zebrafish in vivo complementation reveals an enrichment for pathogenic alleles. Our data emphasize a role for the pericentriolar material in the postnatal brain, with progressive degenerative ciliary and behavioral phenotypes; and they support a contributory role for PCM1 in some individuals diagnosed with schizophrenia. The role of ciliary/centriolar components in the postnatal brain is unclear. Here, the authors show via ablation of Pcm1 in mice that degenerative ciliary/centriolar phenotypes induce neuroanatomical and behavioral changes. Sequencing of PCM1 in human cohorts and zebrafish in vivo complementation suggests PCM1 mutations can contribute to schizophrenia. [ABSTRACT FROM AUTHOR]
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- 2020
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12. APOE ε4 associated with preserved executive function performance and maintenance of temporal and cingulate brain volumes in younger adults.
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Taylor, Warren, Boyd, Brian, Turner, Rachel, McQuoid, Douglas, Ashley-Koch, Allison, MacFall, James, Saleh, Ayman, Potter, Guy, Taylor, Warren D, McQuoid, Douglas R, MacFall, James R, and Potter, Guy G
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PSYCHOLOGICAL aspects of aging ,AGING ,ANTHROPOMETRY ,APOLIPOPROTEINS ,MENTAL depression ,LIMBIC system ,MAGNETIC resonance imaging ,NEUROPSYCHOLOGICAL tests ,TEMPORAL lobe ,GENETIC carriers ,EXECUTIVE function - Abstract
The APOE ε4 allele is associated with cognitive deficits and brain atrophy in older adults, but studies in younger adults are mixed. We examined APOE genotype effects on cognition and brain structure in younger adults and whether genotype effects differed by age and with presence of depression. 157 adults (32 % ε4 carriers, 46 % depressed) between 20 and 50 years of age completed neuropsychological testing, 131 of which also completed 3 T cranial MRI. We did not observe a direct effect of APOE genotype on cognitive performance or structural MRI measures. A significant genotype by age interaction was observed for executive function, where age had less of an effect on executive function in ε4 carriers. Similar interactions were observed for the entorhinal cortex, rostral and caudal anterior cingulate cortex and parahippocampal gyrus, where the effect of age on regional volumes was reduced in ε4 carriers. There were no significant interactions between APOE genotype and depression diagnosis. The ε4 allele benefits younger adults by allowing them to maintain executive function performance and volumes of cingulate and temporal cortex regions with aging, at least through age fifty years. [ABSTRACT FROM AUTHOR]
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- 2017
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13. Genetics of the Chiari I and II Malformations.
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Markunas, Christina A., Ashley-Koch, Allison E., and Gregory, Simon G.
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- 2013
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14. BDNF Val66Met genotype and 6-month remission rates in late-life depression.
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Taylor, W D, McQuoid, D R, Ashley-Koch, A, MacFall, J R, Bridgers, J, Krishnan, R R, and Steffens, D C
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GENETIC code ,MENTAL depression ,COHORT analysis ,GENETIC polymorphisms ,MAGNETIC resonance imaging ,ANTIDEPRESSANTS ,DISEASE remission - Abstract
Although not observed in younger adult cohorts, in older individuals the brain-derived neurotrophic factor (BDNF) Val66Met polymorphism is associated with major depressive disorder (MDD) risk. It is further associated with subjective social support and magnetic resonance imaging (MRI) hyperintense lesions, clinical features independently related to MDD. We examined the relationship between this polymorphism and antidepressant remission rates in an elderly sample with MDD, while also testing for mediation effects of social support and hyperintensities. A total of 229 elderly Caucasian subjects with MDD completed baseline assessments, 1.5 T MRI, and BDNF genotyping. They received antidepressant medication under a structured treatment algorithm and were evaluated for remission at 3 and 6 months. At the 3-month evaluation, BDNF Val66Met genotype was not associated with remission (Wald's χ
2 =2.51, P=0.1131). When not controlling for multiple comparisons, Met66 allele carriers were more likely to be remitted at 6 months (χ2 =4.32, P=0.0377) with an odds ratio of 1.82 (95% CI: 1.04, 3.22). This effect persisted after controlling for lesion volume and social support, neither of which mediated this relationship. Thus in this exploratory analysis, the Met66 allele may be associated with increased odds of remission in older subjects, but also with increased time to remission as there was no 3-month effect. [ABSTRACT FROM AUTHOR]- Published
- 2011
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15. Angiotensin receptor gene polymorphisms and 2-year change in hyperintense lesion volume in men.
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Taylor, W. D., Steffens, D. C., Ashley-Koch, A., Payne, M. E., MacFall, J. R., Potocky, C. F., and Krishnan, K. R. R.
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GENETIC polymorphisms ,MENTAL depression ,ANGIOTENSIN II ,MAGNETIC resonance imaging ,CEREBROVASCULAR disease ,HYPERTENSION ,ANTIHYPERTENSIVE agents ,DISEASES - Abstract
This longitudinal study examined the relationship between 2-year change in white matter hyperintense lesion (WML) volume and polymorphisms in genes coding for the angiotensin-II type 1 and type 2 receptors, AGTR1 A1166C and AGTR2 C3123A, respectively. 137 depressed and 94 non-depressed participants aged 60 years were enrolled. Standard clinical evaluations were performed on all participants and blood samples obtained for genotyping. 1.5-T MRI (magnetic resonance imaging) data were obtained at baseline and approximately 2 years later. These scans were processed using a semi-automated segmentation process, which allowed for the calculation of WML volume at each time point. Statistical models were tested for the relationship between change in WML volume and genotype, while also controlling for age, sex, diagnostic strata, baseline WML volume and comorbid cerebrovascular risk factors. In men, AGTR1 1166A allele homozygotes exhibited significantly less change in WML volume than 1166C carriers. We also found that men reporting hypertension (HTN) with the AGTR2 3123C allele exhibit less change in WML volume than hypertensive men with the 3123A allele, or men without HTN. There were no significant relationships between these polymorphisms and change in WML volume in women. No significant gene–gene or gene–depression interactions were observed. Our results parallel earlier observed gender differences of the relationship between other renin–angiotensin system polymorphisms and HTN. Further work is needed to determine whether these observed relationships are secondary to polymorphisms affecting response to antihypertensive medication, and whether antihypertensive medications can slow WML progression and lower the risk of morbidity associated with WMLs. [ABSTRACT FROM AUTHOR]
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- 2010
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16. Interactions Between Genotype and Depressive Symptoms on Obesity.
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Fuemmeler, Bernard F., Agurs-Collins, Tanya, McClernon, F. Joseph, Kollins, Scott H., Garrett, Melanie E., and Ashley-Koch, Allison E.
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MENTAL depression ,HUMAN genetic variation ,BODY mass index ,LOGISTIC regression analysis ,GENETIC polymorphisms ,GENOTYPE-environment interaction - Abstract
Depression and Genetic variation in serotonin and monoamine transmission have both been associated with body mass index (BMI), but their interaction effects are not well understood. We examined the interaction between depressive symptoms and functional polymorphisms of serotonin transporter (SLC6A4) and monoamine oxidase A (MAOA) on categories of BMI. Participants were from the National Longitudinal Study of Adolescent Health. Multiple logistic regression was used to investigate interactions between candidate genes and depression on risk of obesity (BMI ≥ 30) or overweight + obese combined (BMI ≥ 25). Males with an MAOA active allele with high depressive symptoms were at decreased risk of obesity (OR 0.22; 95% CI 0.06–0.78) and overweight + obesity (OR 0.48; 95% CI 0.26–0.89). No similar effect was observed among females. These findings highlight that the obesity–depression relationship may vary as a function of gender and genetic polymorphism, and suggest the need for further study. [ABSTRACT FROM AUTHOR]
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- 2009
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17. Multiple rare SAPAP3 missense variants in trichotillomania and OCD.
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Züchner, S., Wendland, J. R., Ashley-Koch, A. E., Collins, A. L., Tran-Viet, K. N., Quinn, K., Timpano, K. C., Cuccaro, M. L., Pericak-Vance, M. A., Steffens, D. C., Krishnan, K. R., Feng, G., and Murphy, D. L.
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LETTERS to the editor ,OBSESSIVE-compulsive disorder - Abstract
A letter to the editor is presented in response to the article "Multiple rare SAPAP3 missense variants in trichotillomania and OCD."
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- 2009
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18. 5-HTTLPR and Gender Moderate Changes in Negative Affect Responses to Tryptophan Infusion.
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Brummett, Beverly H., Muller, Christopher L., Collins, Ann L., Boyle, Stephen H., Kuhn, Cynthia M., Siegler, Ilene C., Williams, Redford B., and Ashley-Koch, Allison
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GENETIC research ,SEROTONIN ,INTRAVENOUS therapy ,INTRAVENOUS catheterization ,GENETIC polymorphisms ,NEUROTRANSMITTERS - Abstract
Expression of the serotonin transporter is affected by the genotype of the 5-HTTLPR (short and long forms) as well as the genotype of the SNP rs25531 within this region. Based on the combined genotypes for these polymorphisms, we designated each allele as a high or low expressing allele according to established expression levels—resulting in HiHi, HiLo, & LoLo genotype groups for analysis. We evaluated effects of gender and the promoter genotype on induction of negative affect by intravenous infusion of l-tryptophan (TRP). The protocol consisted of a day-1 sham saline infusion and a day-2 active TRP infusion. Models assessed 5-HTTLPR composite genotype and gender as predictors of change in ratings of negative emotion during TRP infusion. During sham infusion there were no significant changes from baseline in mood ratings. During TRP infusion all negative affect ratings increased significantly from baseline ( P’s < .02). The genotype × gender interaction was a significant predictor of depression-dejection ( P = .013), and trended towards predicting anger−hostility ( P = .084). Males in the HiHi group had greater increases in negative affect during infusion, compared to all groups except LoLo females, who also showed increased negative affect. [ABSTRACT FROM AUTHOR]
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- 2008
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19. Effects of Environmental Stress and Gender on Associations among Symptoms of Depression and the Serotonin Transporter Gene Linked Polymorphic Region (5-HTTLPR).
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Brummett, Beverly H., Boyle, Stephen H., Siegler, Ilene C., Kuhn, Cynthia M., Ashley-Koch, Allison, Jonassaint, Charles R., Züchner, Stephan, Collins, Ann, and Williams, Redford B.
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PSYCHOLOGICAL stress ,SEROTONIN ,MENTAL depression ,GENETIC polymorphisms ,HEREDITY - Abstract
The short (s) variant of the serotonin transporter (5-HTT) gene linked functional polymorphic region (5-HTTLPR) is associated with depression. Stressful life events, gender, and race have been shown to moderate this association. We examined the relationship between 5-HTTLPR genotype and symptoms of depression in two samples. Study 1 = 288 participants from a study of caregiver stress; and Study 2 = 142 participants from a study examining psychosocial stressors, genetics, and health. Main effects of 5-HTTLPR on symptoms of depression were examined, along with moderation by stress (caregiving status or low childhood socioeconomic status (SES), gender, and race. The 5-HTTLPR × stress group × gender interaction was significant in both samples ( P < 0.003, and P < 0.008, respectively). For females, the s allele, combined with caregiving stress (Study 1) or low childhood SES (Study 2), was associated with higher depression scores as compared to participants in the non-stressor group and those with the long (l) allele; whereas, in males, the l allele, combined with a stressor, was associated with higher depression scores as compared to those in the non-stressor group and those with the s allele. Findings from two independent samples suggest that the association of 5-HTTLPR with depression varies according to gender and stressful life events. [ABSTRACT FROM AUTHOR]
- Published
- 2008
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20. Analysis of the RELN gene as a genetic risk factor for autism.
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Skaar, D. A., Shao, Y., Haines, J. L., Stenger, J. E., Jaworski, J., Martin, E. R., DeLong, G. R., Moore, J. H., McCauley, J. L., Sutcliffe, J. S., Ashley-Koch, A. E., Cuccaro, M. L., Folstein, S. E., Gilbert, J. R., and Pericak-Vance, M. A.
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GENETICS ,GENOMES ,AUTISM ,DEVELOPMENTAL disabilities ,DISEASE risk factors ,DISEASE susceptibility ,CHROMOSOMES ,CELL nuclei - Abstract
Several genome-wide screens have indicated the presence of an autism susceptibility locus within the distal long arm of chromosome 7 (7q). Mapping at 7q22 within this region is the candidate gene reelin (RELN). RELN encodes a signaling protein that plays a pivotal role in the migration of several neuronal cell types and in the development of neural connections. Given these neurodevelopmental functions, recent reports that RELN influences genetic risk for autism are of significant interest. The total data set consists of 218 Caucasian families collected by our group, 85 Caucasian families collected by AGRE, and 68 Caucasian families collected at Tufts University were tested for genetic association of RELN variants to autism. Markers included five single-nucleotide polymorphisms (SNPs) and a repeat in the 5'-untranslated region (5'-UTR). Tests for association in Duke and AGRE families were also performed on four additional SNPs in the genes PSMC2 and ORC5L, which flank RELN. Family-based association analyses (PDT, Geno-PDT, and FBAT) were used to test for association of single-locus markers and multilocus haplotypes with autism. The most significant association identified from this combined data set was for the 5'-UTR repeat (PDT P-value=0.002). These analyses show the potential of RELN as an important contributor to genetic risk in autism.Molecular Psychiatry (2005) 10, 563-571. doi:10.1038/sj.mp.4001614 Published online 23 November 2004 [ABSTRACT FROM AUTHOR]
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- 2005
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21. Intragenic modifiers of hereditary spastic paraplegia due to spastin gene mutations.
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Svenson, Ingrid K., Kloos, Mark T., Gaskell, P. Craig, Nance, Martha A., Garbern, James Y., Hisanaga, Shin-ichi, Pericak-Vance, Margaret A., Ashley-Koch, Allison E., and Marchuk, Douglas A.
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PARAPLEGIA ,PARALYSIS ,BRAIN diseases ,NEURODEGENERATION ,MEDICAL genetics - Abstract
Hereditary spastic paraplegia (HSP) is a genetically heterogeneous neurodegenerative disease characterized by wide variability in phenotypic expression, both within and among families. The most-common cause of autosomal dominant HSP is mutation of the gene encoding spastin, a protein of uncertain function. We report the existence of intragenic polymorphisms of spastin that modify the HSP phenotype. One (S44L) is a previously described recessively acting allele and the second is a novel allele affecting the adjacent amino acid residue (P45Q). In 4 HSP families in which either L44 or Q45 segregates independently of a missense or splicing mutation in the AAA domain of spastin, L44 and Q45 are each associated with a striking decrease in age at onset in the presence of the AAA domain mutations. Using a bio-informatics approach, we found that the highly conserved S44 is predicted to be phosphorylated by a number of family members of the proline-directed serine/threonine cyclin-dependent kinases (Cdks). Cdk1 and Cdk5 showed no kinase activity toward synthetic spastin peptide in an in vitro kinase assay, suggesting that this serine residue may be phosphorylated by a different Cdk. Our identification of S44L and P45Q as modifiers of the HSP phenotype suggests a role for spastin phosphorylation by Cdks in the neurodegeneration of the most-common form of HSP. [ABSTRACT FROM AUTHOR]
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- 2004
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22. Fine mapping and genetic heterogeneity in the pure form of autosomal dominant familial spastic paraplegia.
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Ashley-Koch, Allison, Bonner, Erin R., Gaskell, P. Craig, West, Sandra G., Tim, Richard, Wolpert, Chantelle M., Jones, Rodney, Farrell, Carolyn D., Nance, Martha, Svenson, Ingrid K., Marchuk, Douglas A., Boustany, Rose-Mary N., Vance, Jeffery M., Scott, William K., and Pericak-Vance, Margaret A.
- Abstract
We evaluated seven families segregating pure, autosomal dominant familial spastic paraplegia (SPG) for linkage to four recently identified SPG loci on chromosomes 2q (1), 8q (2), 12q (3), and 19q (4). These families were previously shown to be unlinked to SPG loci on chromosomes 2p, 14q, and 15q. Two families demonstrated linkage to the new loci. One family (family 3) showed significant evidence for linkage to chromosome 12q, peaking at D12S1691 (maximum lod=3.22). Haplotype analysis of family 3 did not identify any recombinants among affected individuals in the 12q candidate region. Family 5 yielded a peak lod score of 2.02 at marker D19S868 and excluded linkage to other known SPG loci. Haplotype analysis of family 5 revealed several crossovers in affected individuals, thereby potentially narrowing the SPG12 candidate region to a 5-cM region between markers D19S868 and D19S220. Three of the families definitively excluded all four loci examined, providing evidence for further genetic heterogeneity of pure, autosomal dominant SPG. In conclusion, these data confirm the presence of SPG10 (chromosome 12), potentially reduce the minimum candidate region for SPG12 (chromosome 19q), and suggest there is at least one additional autosomal dominant SPG locus. [ABSTRACT FROM AUTHOR]
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- 2001
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23. Correction to: 5-HTTLPR and Gender Moderate Changes in Negative Affect Responses to Tryptophan Infusion.
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Brummett, Beverly H., Muller, Christopher L., Collins, Ann L., Boyle, Stephen H., Kuhn, Cynthia M., Siegler, Ilene C., Williams, Redford B., Suarez, Edward C., and Ashley-Koch, Allison
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TRYPTOPHAN ,ACQUISITION of data ,WORK design ,AFFECT (Psychology) - Abstract
After the publication of original article, the Editor was notified by Duke University that they have determined the authorship to be incomplete. Consequently, Dr. Edward Suarez has been added as a co-author to this article to represent his contribution to the conception and design of the work and acquisition of the data. [ABSTRACT FROM AUTHOR]
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- 2021
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24. Correction to: Effects of Environmental Stress and Gender on Associations among Symptoms of Depression and the Serotonin Transporter Gene Linked Polymorphic Region (5-HTTLPR).
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Brummett, Beverly H., Boyle, Stephen H., Siegler, Ilene C., Kuhn, Cynthia M., Ashley-Koch, Allison, Jonassaint, Charles R., Züchner, Stephan, Collins, Ann, Suarez, Edward C., and Williams, Redford B.
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SEROTONIN transporters ,ACQUISITION of data ,GENDER ,MENTAL depression ,WORK design - Abstract
After the publication of original article, the Editor was notified by Duke University that they have determined the authorship to be incomplete. Consequently, Dr. Edward Suarez has been added as a co-author to this article to represent his contribution to the conception and design of the work and acquisition of the data. [ABSTRACT FROM AUTHOR]
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- 2021
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25. Epigenome-wide meta-analysis of PTSD across 10 military and civilian cohorts identifies methylation changes in AHRR.
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Smith, Alicia K., Ratanatharathorn, Andrew, Maihofer, Adam X., Naviaux, Robert K., Aiello, Allison E., Amstadter, Ananda B., Ashley-Koch, Allison E., Baker, Dewleen G., Beckham, Jean C., Boks, Marco P., Bromet, Evelyn, Dennis, Michelle, Galea, Sandro, Garrett, Melanie E., Geuze, Elbert, Guffanti, Guia, Hauser, Michael A., Katrinli, Seyma, Kilaru, Varun, and Kessler, Ronald C.
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METHYLATION ,DNA methylation ,P16 gene ,MULTIPLE comparisons (Statistics) ,SMOKING - Abstract
Epigenetic differences may help to distinguish between PTSD cases and trauma-exposed controls. Here, we describe the results of the largest DNA methylation meta-analysis of PTSD to date. Ten cohorts, military and civilian, contribute blood-derived DNA methylation data from 1,896 PTSD cases and trauma-exposed controls. Four CpG sites within the aryl-hydrocarbon receptor repressor (AHRR) associate with PTSD after adjustment for multiple comparisons, with lower DNA methylation in PTSD cases relative to controls. Although AHRR methylation is known to associate with smoking, the AHRR association with PTSD is most pronounced in non-smokers, suggesting the result was independent of smoking status. Evaluation of metabolomics data reveals that AHRR methylation associated with kynurenine levels, which are lower among subjects with PTSD. This study supports epigenetic differences in those with PTSD and suggests a role for decreased kynurenine as a contributor to immune dysregulation in PTSD. PTSD has been associated with DNA methylation of specific loci in the genome, but studies have been limited by small sample sizes. Here, the authors perform a meta-analysis of DNA methylation data from 10 different cohorts and identify CpGs in AHRR that are associated with PTSD. [ABSTRACT FROM AUTHOR]
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- 2020
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26. A new locus for dominant hereditary spastic paraplegia maps to chromosome 2p12.
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Züchner, Stephan, Kail, Melanie E., Nance, Martha A., Gaskell, Perry C., Svenson, Ingrid K., Marchuk, Douglas A., Pericak-Vance, Margaret A., and Ashley-Koch, Allison E.
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LETTERS to the editor ,SPASTIC paralysis - Abstract
A letter to the editor is presented that presents a locus for dominant hereditary spastic maps to chromosome 2p12.
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- 2006
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27. Evaluation of chromatin accessibility in prefrontal cortex of individuals with schizophrenia.
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Bryois, Julien, Garrett, Melanie E., Song, Lingyun, Safi, Alexias, Giusti-Rodriguez, Paola, Johnson, Graham D., Shieh, Annie W., Buil, Alfonso, Fullard, John F., Roussos, Panos, Sklar, Pamela, Akbarian, Schahram, Haroutunian, Vahram, Stockmeier, Craig A., Wray, Gregory A., White, Kevin P., Liu, Chunyu, Reddy, Timothy E., Ashley-Koch, Allison, and Sullivan, Patrick F.
- Abstract
Schizophrenia genome-wide association studies have identified >150 regions of the genome associated with disease risk, yet there is little evidence that coding mutations contribute to this disorder. To explore the mechanism of non-coding regulatory elements in schizophrenia, we performed ATAC-seq on adult prefrontal cortex brain samples from 135 individuals with schizophrenia and 137 controls, and identified 118,152 ATAC-seq peaks. These accessible chromatin regions in the brain are highly enriched for schizophrenia SNP heritability. Accessible chromatin regions that overlap evolutionarily conserved regions exhibit an even higher heritability enrichment, indicating that sequence conservation can further refine functional risk variants. We identify few differences in chromatin accessibility between cases and controls, in contrast to thousands of age-related differential accessible chromatin regions. Altogether, we characterize chromatin accessibility in the human prefrontal cortex, the effect of schizophrenia and age on chromatin accessibility, and provide evidence that our dataset will allow for fine mapping of risk variants. Chromatin accessibility may be altered in disease states. Here the authors carry out ATAC-seq on a large number of samples of dorsolateral prefrontal cortex from individuals with schizophrenia, and healthy controls. [ABSTRACT FROM AUTHOR]
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- 2018
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28. Joint eQTL assessment of whole blood and dura mater tissue from individuals with Chiari type I malformation
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Eric F. Lock, Simon G. Gregory, Allison E. Ashley-Koch, Gerald A. Grant, Karen Soldano, David B. Dunson, Christina A. Markunas, Herbert E. Fuchs, Melanie E. Garrett, and Heidi Cope
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Male ,Adolescent ,Genotype ,Dura mater ,Whole genome expression ,Cyclic AMP-Dependent Protein Kinase RIalpha Subunit ,Quantitative Trait Loci ,Gene regulatory network ,Quantitative trait locus ,Biology ,Bioinformatics ,Polymorphism, Single Nucleotide ,03 medical and health sciences ,0302 clinical medicine ,Multi-tissue integration ,medicine ,Genetics ,Humans ,Gene Regulatory Networks ,Pentosyltransferases ,Child ,PRKAR1A ,030304 developmental biology ,Regulation of gene expression ,0303 health sciences ,Bone Development ,beta Karyopherins ,Arnold-Chiari Malformation ,medicine.anatomical_structure ,eQTL analysis ,Child, Preschool ,Expression quantitative trait loci ,Beta Karyopherins ,Female ,Chiari Type I Malformation ,DNA microarray ,030217 neurology & neurosurgery ,Research Article ,Biotechnology - Abstract
Background Expression quantitative trait loci (eQTL) play an important role in the regulation of gene expression. Gene expression levels and eQTLs are expected to vary from tissue to tissue, and therefore multi-tissue analyses are necessary to fully understand complex genetic conditions in humans. Dura mater tissue likely interacts with cranial bone growth and thus may play a role in the etiology of Chiari Type I Malformation (CMI) and related conditions, but it is often inaccessible and its gene expression has not been well studied. A genetic basis to CMI has been established; however, the specific genetic risk factors are not well characterized. Results We present an assessment of eQTLs for whole blood and dura mater tissue from individuals with CMI. A joint-tissue analysis identified 239 eQTLs in either dura or blood, with 79% of these eQTLs shared by both tissues. Several identified eQTLs were novel and these implicate genes involved in bone development (IPO8, XYLT1, and PRKAR1A), and ribosomal pathways related to marrow and bone dysfunction, as potential candidates in the development of CMI. Conclusions Despite strong overall heterogeneity in expression levels between blood and dura, the majority of cis-eQTLs are shared by both tissues. The power to detect shared eQTLs was improved by using an integrative statistical approach. The identified tissue-specific and shared eQTLs provide new insight into the genetic basis for CMI and related conditions. Electronic supplementary material The online version of this article (doi:10.1186/s12864-014-1211-8) contains supplementary material, which is available to authorized users.
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29. Association between the oxytocin receptor (OXTR) gene and mesolimbic responses to rewards
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Ralph Edward McLaurin, Rachel V. Kozink, Scott A. Huettel, Caley Burrus, Joseph Aloi, Kaitlyn Dunlap, O'Dhaniel A. Mullette-Gillman, Gabriel S. Dichter, Cara R. Damiano, Allison E. Ashley-Koch, Ronald Mc Kell Carter, Francis J McClernon, and Maya G. Mosner
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Candidate gene ,Neuroimaging ,Nucleus accumbens ,Oxytocin ,Amygdala ,behavioral disciplines and activities ,03 medical and health sciences ,0302 clinical medicine ,Developmental Neuroscience ,Reward ,Single nucleotide polymorphism (SNP) ,mental disorders ,medicine ,Genetics ,Mesolimbic ,Molecular Biology ,Oxytocin receptor ,030304 developmental biology ,0303 health sciences ,Motivation ,medicine.diagnostic_test ,Research ,Anticipation ,Autism spectrum disorder (ASD) ,Functional magnetic resonance imaging (fMRI) ,Psychiatry and Mental health ,medicine.anatomical_structure ,Endophenotype ,Psychology ,Functional magnetic resonance imaging ,Neuroscience ,Insula ,030217 neurology & neurosurgery ,psychological phenomena and processes ,Developmental Biology - Abstract
Background There has been significant progress in identifying genes that confer risk for autism spectrum disorders (ASDs). However, the heterogeneity of symptom presentation in ASDs impedes the detection of ASD risk genes. One approach to understanding genetic influences on ASD symptom expression is to evaluate relations between variants of ASD candidate genes and neural endophenotypes in unaffected samples. Allelic variations in the oxytocin receptor (OXTR) gene confer small but significant risk for ASDs for which the underlying mechanisms may involve associations between variability in oxytocin signaling pathways and neural response to rewards. The purpose of this preliminary study was to investigate the influence of allelic variability in the OXTR gene on neural responses to monetary rewards in healthy adults using functional magnetic resonance imaging (fMRI). Methods The moderating effects of three single nucleotide polymorphisms (SNPs) (rs1042778, rs2268493 and rs237887) of the OXTR gene on mesolimbic responses to rewards were evaluated using a monetary incentive delay fMRI task. Results T homozygotes of the rs2268493 SNP demonstrated relatively decreased activation in mesolimbic reward circuitry (including the nucleus accumbens, amygdala, insula, thalamus and prefrontal cortical regions) during the anticipation of rewards but not during the outcome phase of the task. Allelic variation of the rs1042778 and rs237887 SNPs did not moderate mesolimbic activation during either reward anticipation or outcomes. Conclusions This preliminary study suggests that the OXTR SNP rs2268493, which has been previously identified as an ASD risk gene, moderates mesolimbic responses during reward anticipation. Given previous findings of decreased mesolimbic activation during reward anticipation in ASD, the present results suggest that OXTR may confer ASD risk via influences on the neural systems that support reward anticipation.
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30. Adjusting for covariates on a slippery slope: linkage analysis of change over time
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Yujun Shao, Elizabeth R. Hauser, Meredyth P. Bass, Eden R. Martin, Allison E. Ashley-Koch, Silke Schmidt, Evadnie Rampersaud, Yi-Ju Li, Andrew S. Allen, and Carol Haynes
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Subset Analysis ,Multifactorial Inheritance ,lcsh:QH426-470 ,Chromosomes, Human, Pair 21 ,Genetic Linkage ,Matched-Pair Analysis ,Quantitative Trait Loci ,Blood Pressure ,Biology ,Quantitative trait locus ,01 natural sciences ,Genetic analysis ,Time ,010104 statistics & probability ,03 medical and health sciences ,Genetic linkage ,Gene Order ,Covariate ,Genetics ,Humans ,Computer Simulation ,Genetics(clinical) ,Longitudinal Studies ,0101 mathematics ,Genetics (clinical) ,Chromosome 13 ,0303 health sciences ,Chromosomes, Human, Pair 13 ,Siblings ,030305 genetics & heredity ,Chromosome Mapping ,Contrast (statistics) ,lcsh:Genetics ,Proceedings ,Hypertension ,Chromosomes, Human, Pair 5 ,Chromosomes, Human, Pair 7 ,Software ,Type I and type II errors - Abstract
Background We analyzed the Genetic Analysis Workshop 13 (GAW13) simulated data to contrast and compare different methods for the genetic linkage analysis of hypertension and change in blood pressure over time. We also examined methods for incorporating covariates into the linkage analysis. We used methods for quantitative trait loci (QTL) linkage analysis with and without covariates and affected sib-pair (ASP) analysis of hypertension followed by ordered subset analysis (OSA), using variables associated with change in blood pressure over time. Results Four of the five baseline genes and one of the three slope genes were not detected by any method using conventional criteria. OSA detected baseline gene b35 on chromosome 13 when using the slope in blood pressure to adjust for change over time. Slope gene s10 was detected by the ASP analysis and slope gene s11 was detected by QTL linkage analysis as well as by OSA analysis. Analysis of null chromosomes, i.e., chromosomes without genes, did not reveal significant increases in type I error. However, there were a number of genes indirectly related to blood pressure detected by a variety of methods. Conclusions We noted that there is no obvious first choice of analysis software for analyzing a complicated model, such as the one underlying the GAW13 simulated data. Inclusion of covariates and longitudinal data can improve localization of genes for complex traits but it is not always clear how best to do this. It remains a worthwhile task to apply several different approaches since one method is not always the best.
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31. Genome-wide association study of subcortical brain volume in PTSD cases and trauma-exposed controls.
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Morey, Rajendra A., Davis, Sarah L., Garrett, Melanie E., Haswell, Courtney C., Mid-Atlantic MIRECC Workgroup, Marx, Christine E., Beckham, Jean C., McCarthy, Gregory, Hauser, Michael A., and Ashley-Koch, Allison E.
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- 2017
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32. No association between RORA polymorphisms and PTSD in two independent samples.
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Guffanti, G, Ashley-Koch, A E, Roberts, A L, Garrett, M E, Solovieff, N, Ratanatharathorn, A, De Vivo, I, Dennis, M, Ranu, H, Smoller, J W, Liu, Y, Purcell, S M, Beckham, J, Hauser, M A, and Koenen, K C
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GENETIC polymorphisms , *POST-traumatic stress disorder , *PATIENTS - Abstract
A letter to the editor is presented in response to the article about genome-wide association between a polymorphism in the RORA gene, encoding the retinoic acid orphan receptor A, and patient with posttraumatic stress disorder (PTSD) by M. W. Logue that was published in the previous issue.
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- 2014
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33. SLITRK1 mutations in Trichotillomania.
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Züchner, S., Cuccaro, M. L., Tran-Viet, K. N., Cope, H., Krishnan, R. R., Pericak-Vance, M. A., Wright, H. H., and Ashley-Koch, A.
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LETTERS to the editor ,COMPULSIVE hair pulling - Abstract
A letter to the editor on SLITRK1 mutations in trichotillomania which is a chronic behavioral disorder characterized by the irresistible urge to pull out one's hair is presented.
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- 2006
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34. Stac3 is a component of the excitation-contraction coupling machinery and mutated in Native American myopathy.
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Horstick, Eric J., Linsley, Jeremy W., Dowling, James J., Hauser, Michael A., McDonald, Kristin K., Ashley-Koch, Allison, Saint-Amant, Louis, Satish, Akhila, Cui, Wilson W., Zhou, Weibin, Sprague, Shawn M., Stamm, Demetra S., Powell, Cynthia M., Speer, Marcy C., Franzini-Armstrong, Clara, Hirata, Hiromi, and Kuwada, John Y.
- Published
- 2013
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