897 results on '"McCarroll, Steven A."'
Search Results
2. Genetic drivers and cellular selection of female mosaic X chromosome loss
- Author
-
Liu, Aoxing, Genovese, Giulio, Zhao, Yajie, Pirinen, Matti, Zekavat, Seyedeh M., Kentistou, Katherine A., Yang, Zhiyu, Yu, Kai, Vlasschaert, Caitlyn, Liu, Xiaoxi, Brown, Derek W., Hudjashov, Georgi, Gorman, Bryan R., Dennis, Joe, Zhou, Weiyin, Momozawa, Yukihide, Pyarajan, Saiju, Tuzov, Valdislav, Pajuste, Fanny-Dhelia, Aavikko, Mervi, Sipilä, Timo P., Ghazal, Awaisa, Huang, Wen-Yi, Freedman, Neal D., Song, Lei, Gardner, Eugene J., Sankaran, Vijay G., Palotie, Aarno, Ollila, Hanna M., Tukiainen, Taru, Chanock, Stephen J., Mägi, Reedik, Natarajan, Pradeep, Daly, Mark J., Bick, Alexander, McCarroll, Steven A., Terao, Chikashi, Loh, Po-Ru, Ganna, Andrea, Perry, John R. B., and Machiela, Mitchell J.
- Published
- 2024
- Full Text
- View/download PDF
3. Conserved and divergent gene regulatory programs of the mammalian neocortex.
- Author
-
Zemke, Nathan, Armand, Ethan, Wang, Wenliang, Lee, Seoyeon, Zhou, Jingtian, Li, Yang, Liu, Hanqing, Tian, Wei, Nery, Joseph, Castanon, Rosa, Bartlett, Anna, Osteen, Julia, Li, Daofeng, Zhuo, Xiaoyu, Xu, Vincent, Chang, Lei, Dong, Keyi, Indralingam, Hannah, Rink, Jonathan, Xie, Yang, Miller, Michael, Krienen, Fenna, Zhang, Qiangge, Taskin, Naz, Ting, Jonathan, Feng, Guoping, McCarroll, Steven, Callaway, Edward, Wang, Ting, Lein, Ed, Behrens, M, Ecker, Joseph, and Ren, Bing
- Subjects
Animals ,Humans ,Mice ,Callithrix ,Chromatin ,Conserved Sequence ,DNA Methylation ,DNA Transposable Elements ,Epigenome ,Evolution ,Molecular ,Gene Expression Regulation ,Gene Regulatory Networks ,Macaca ,Mammals ,Motor Cortex ,Multiomics ,Neocortex ,Regulatory Sequences ,Nucleic Acid ,Single-Cell Analysis ,Transcription Factors ,Genetic Variation - Abstract
Divergence of cis-regulatory elements drives species-specific traits1, but how this manifests in the evolution of the neocortex at the molecular and cellular level remains unclear. Here we investigated the gene regulatory programs in the primary motor cortex of human, macaque, marmoset and mouse using single-cell multiomics assays, generating gene expression, chromatin accessibility, DNA methylome and chromosomal conformation profiles from a total of over 200,000 cells. From these data, we show evidence that divergence of transcription factor expression corresponds to species-specific epigenome landscapes. We find that conserved and divergent gene regulatory features are reflected in the evolution of the three-dimensional genome. Transposable elements contribute to nearly 80% of the human-specific candidate cis-regulatory elements in cortical cells. Through machine learning, we develop sequence-based predictors of candidate cis-regulatory elements in different species and demonstrate that the genomic regulatory syntax is highly preserved from rodents to primates. Finally, we show that epigenetic conservation combined with sequence similarity helps to uncover functional cis-regulatory elements and enhances our ability to interpret genetic variants contributing to neurological disease and traits.
- Published
- 2023
4. Protein-altering variants at copy number-variable regions influence diverse human phenotypes
- Author
-
Hujoel, Margaux L. A., Handsaker, Robert E., Sherman, Maxwell A., Kamitaki, Nolan, Barton, Alison R., Mukamel, Ronen E., Terao, Chikashi, McCarroll, Steven A., and Loh, Po-Ru
- Published
- 2024
- Full Text
- View/download PDF
5. A concerted neuron–astrocyte program declines in ageing and schizophrenia
- Author
-
Ling, Emi, Nemesh, James, Goldman, Melissa, Kamitaki, Nolan, Reed, Nora, Handsaker, Robert E., Genovese, Giulio, Vogelgsang, Jonathan S., Gerges, Sherif, Kashin, Seva, Ghosh, Sulagna, Esposito, John M., Morris, Kiely, Meyer, Daniel, Lutservitz, Alyssa, Mullally, Christopher D., Wysoker, Alec, Spina, Liv, Neumann, Anna, Hogan, Marina, Ichihara, Kiku, Berretta, Sabina, and McCarroll, Steven A.
- Published
- 2024
- Full Text
- View/download PDF
6. Conserved and divergent gene regulatory programs of the mammalian neocortex
- Author
-
Zemke, Nathan R., Armand, Ethan J., Wang, Wenliang, Lee, Seoyeon, Zhou, Jingtian, Li, Yang Eric, Liu, Hanqing, Tian, Wei, Nery, Joseph R., Castanon, Rosa G., Bartlett, Anna, Osteen, Julia K., Li, Daofeng, Zhuo, Xiaoyu, Xu, Vincent, Chang, Lei, Dong, Keyi, Indralingam, Hannah S., Rink, Jonathan A., Xie, Yang, Miller, Michael, Krienen, Fenna M., Zhang, Qiangge, Taskin, Naz, Ting, Jonathan, Feng, Guoping, McCarroll, Steven A., Callaway, Edward M., Wang, Ting, Lein, Ed S., Behrens, M. Margarita, Ecker, Joseph R., and Ren, Bing
- Published
- 2023
- Full Text
- View/download PDF
7. Natural variation in gene expression and viral susceptibility revealed by neural progenitor cell villages.
- Author
-
Nemesh, James, Ghosh, Sulagna, Mitchell, Jana, Salick, Max, Mello, Curtis, Meyer, Daniel, Pietilainen, Olli, Piccioni, Federica, Guss, Ellen, Raghunathan, Kavya, Tegtmeyer, Matthew, Hawes, Derek, Neumann, Anna, Worringer, Kathleen, Ho, Daniel, Kommineni, Sravya, Chan, Karrie, Peterson, Brant, Raymond, Joseph, Gold, John, Siekmann, Marco, Zuccaro, Emanuela, Nehme, Ralda, Kaykas, Ajamete, Eggan, Kevin, McCarroll, Steven, and Wells, Michael
- Subjects
CACHD1 ,CRISPR-Cas9 screen ,Neurogenin-2 ,Zika virus ,cell villages ,neural progenitor cells ,neurodevelopmental disorders ,proliferation ,Humans ,Neural Stem Cells ,Cell Differentiation ,Brain ,Zika Virus ,Gene Expression ,Zika Virus Infection ,Membrane Proteins ,RNA-Binding Proteins - Abstract
Human genome variation contributes to diversity in neurodevelopmental outcomes and vulnerabilities; recognizing the underlying molecular and cellular mechanisms will require scalable approaches. Here, we describe a cell village experimental platform we used to analyze genetic, molecular, and phenotypic heterogeneity across neural progenitor cells from 44 human donors cultured in a shared in vitro environment using algorithms (Dropulation and Census-seq) to assign cells and phenotypes to individual donors. Through rapid induction of human stem cell-derived neural progenitor cells, measurements of natural genetic variation, and CRISPR-Cas9 genetic perturbations, we identified a common variant that regulates antiviral IFITM3 expression and explains most inter-individual variation in susceptibility to the Zika virus. We also detected expression QTLs corresponding to GWAS loci for brain traits and discovered novel disease-relevant regulators of progenitor proliferation and differentiation such as CACHD1. This approach provides scalable ways to elucidate the effects of genes and genetic variation on cellular phenotypes.
- Published
- 2023
8. Statistical and functional convergence of common and rare genetic influences on autism at chromosome 16p.
- Author
-
Weiner, Daniel, Ling, Emi, Erdin, Serkan, Tai, Derek, Yadav, Rachita, Grove, Jakob, Fu, Jack, Nadig, Ajay, Carey, Caitlin, Baya, Nikolas, Bybjerg-Grauholm, Jonas, Berretta, Sabina, Macosko, Evan, Sebat, Jonathan, OConnor, Luke, Hougaard, David, Børglum, Anders, Talkowski, Michael, McCarroll, Steven, and Robinson, Elise
- Subjects
Humans ,Autistic Disorder ,DNA Copy Number Variations ,Chromosomes ,Chromosome Deletion ,Chromosomes ,Human ,Pair 16 - Abstract
The canonical paradigm for converting genetic association to mechanism involves iteratively mapping individual associations to the proximal genes through which they act. In contrast, in the present study we demonstrate the feasibility of extracting biological insights from a very large region of the genome and leverage this strategy to study the genetic influences on autism. Using a new statistical approach, we identified the 33-Mb p-arm of chromosome 16 (16p) as harboring the greatest excess of autisms common polygenic influences. The region also includes the mechanistically cryptic and autism-associated 16p11.2 copy number variant. Analysis of RNA-sequencing data revealed that both the common polygenic influences within 16p and the 16p11.2 deletion were associated with decreased average gene expression across 16p. The transcriptional effects of the rare deletion and diffuse common variation were correlated at the level of individual genes and analysis of Hi-C data revealed patterns of chromatin contact that may explain this transcriptional convergence. These results reflect a new approach for extracting biological insight from genetic association data and suggest convergence of common and rare genetic influences on autism at 16p.
- Published
- 2022
9. CSMD1 regulates brain complement activity and circuit development
- Author
-
Baum, Matthew L., Wilton, Daniel K., Fox, Rachel G., Carey, Alanna, Hsu, Yu-Han H., Hu, Ruilong, Jäntti, Henna J., Fahey, Jaclyn B., Muthukumar, Allie K., Salla, Nikkita, Crotty, William, Scott-Hewitt, Nicole, Bien, Elizabeth, Sabatini, David A., Lanser, Toby B., Frouin, Arnaud, Gergits, Frederick, Håvik, Bjarte, Gialeli, Chrysostomi, Nacu, Eugene, Lage, Kasper, Blom, Anna M., Eggan, Kevin, McCarroll, Steven A., Johnson, Matthew B., and Stevens, Beth
- Published
- 2024
- Full Text
- View/download PDF
10. Rare coding variants in ten genes confer substantial risk for schizophrenia.
- Author
-
Singh, Tarjinder, Poterba, Timothy, Curtis, David, Akil, Huda, Al Eissa, Mariam, Barchas, Jack D, Bass, Nicholas, Bigdeli, Tim B, Breen, Gerome, Bromet, Evelyn J, Buckley, Peter F, Bunney, William E, Bybjerg-Grauholm, Jonas, Byerley, William F, Chapman, Sinéad B, Chen, Wei J, Churchhouse, Claire, Craddock, Nicholas, Cusick, Caroline M, DeLisi, Lynn, Dodge, Sheila, Escamilla, Michael A, Eskelinen, Saana, Fanous, Ayman H, Faraone, Stephen V, Fiorentino, Alessia, Francioli, Laurent, Gabriel, Stacey B, Gage, Diane, Gagliano Taliun, Sarah A, Ganna, Andrea, Genovese, Giulio, Glahn, David C, Grove, Jakob, Hall, Mei-Hua, Hämäläinen, Eija, Heyne, Henrike O, Holi, Matti, Hougaard, David M, Howrigan, Daniel P, Huang, Hailiang, Hwu, Hai-Gwo, Kahn, René S, Kang, Hyun Min, Karczewski, Konrad J, Kirov, George, Knowles, James A, Lee, Francis S, Lehrer, Douglas S, Lescai, Francesco, Malaspina, Dolores, Marder, Stephen R, McCarroll, Steven A, McIntosh, Andrew M, Medeiros, Helena, Milani, Lili, Morley, Christopher P, Morris, Derek W, Mortensen, Preben Bo, Myers, Richard M, Nordentoft, Merete, O'Brien, Niamh L, Olivares, Ana Maria, Ongur, Dost, Ouwehand, Willem H, Palmer, Duncan S, Paunio, Tiina, Quested, Digby, Rapaport, Mark H, Rees, Elliott, Rollins, Brandi, Satterstrom, F Kyle, Schatzberg, Alan, Scolnick, Edward, Scott, Laura J, Sharp, Sally I, Sklar, Pamela, Smoller, Jordan W, Sobell, Janet L, Solomonson, Matthew, Stahl, Eli A, Stevens, Christine R, Suvisaari, Jaana, Tiao, Grace, Watson, Stanley J, Watts, Nicholas A, Blackwood, Douglas H, Børglum, Anders D, Cohen, Bruce M, Corvin, Aiden P, Esko, Tõnu, Freimer, Nelson B, Glatt, Stephen J, Hultman, Christina M, McQuillin, Andrew, Palotie, Aarno, Pato, Carlos N, Pato, Michele T, Pulver, Ann E, and St Clair, David
- Subjects
Humans ,Genetic Predisposition to Disease ,Receptors ,N-Methyl-D-Aspartate ,Case-Control Studies ,Schizophrenia ,Mutation ,Exome ,Neurodevelopmental Disorders ,Human Genome ,Biotechnology ,Mental Health ,Neurosciences ,Brain Disorders ,Genetics ,Serious Mental Illness ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Neurological ,General Science & Technology - Abstract
Rare coding variation has historically provided the most direct connections between gene function and disease pathogenesis. By meta-analysing the whole exomes of 24,248 schizophrenia cases and 97,322 controls, we implicate ultra-rare coding variants (URVs) in 10 genes as conferring substantial risk for schizophrenia (odds ratios of 3-50, P
- Published
- 2022
11. Author Correction: Conserved and divergent gene regulatory programs of the mammalian neocortex
- Author
-
Zemke, Nathan R., Armand, Ethan J., Wang, Wenliang, Lee, Seoyeon, Zhou, Jingtian, Li, Yang Eric, Liu, Hanqing, Tian, Wei, Nery, Joseph R., Castanon, Rosa G., Bartlett, Anna, Osteen, Julia K., Li, Daofeng, Zhuo, Xiaoyu, Xu, Vincent, Chang, Lei, Dong, Keyi, Indralingam, Hannah S., Rink, Jonathan A., Xie, Yang, Miller, Michael, Krienen, Fenna M., Zhang, Qiangge, Taskin, Naz, Ting, Jonathan, Feng, Guoping, McCarroll, Steven A., Callaway, Edward M., Wang, Ting, Lein, Ed S., Behrens, M. Margarita, Ecker, Joseph R., and Ren, Bing
- Published
- 2024
- Full Text
- View/download PDF
12. Comparative cellular analysis of motor cortex in human, marmoset and mouse
- Author
-
Bakken, Trygve E, Jorstad, Nikolas L, Hu, Qiwen, Lake, Blue B, Tian, Wei, Kalmbach, Brian E, Crow, Megan, Hodge, Rebecca D, Krienen, Fenna M, Sorensen, Staci A, Eggermont, Jeroen, Yao, Zizhen, Aevermann, Brian D, Aldridge, Andrew I, Bartlett, Anna, Bertagnolli, Darren, Casper, Tamara, Castanon, Rosa G, Crichton, Kirsten, Daigle, Tanya L, Dalley, Rachel, Dee, Nick, Dembrow, Nikolai, Diep, Dinh, Ding, Song-Lin, Dong, Weixiu, Fang, Rongxin, Fischer, Stephan, Goldman, Melissa, Goldy, Jeff, Graybuck, Lucas T, Herb, Brian R, Hou, Xiaomeng, Kancherla, Jayaram, Kroll, Matthew, Lathia, Kanan, van Lew, Baldur, Li, Yang Eric, Liu, Christine S, Liu, Hanqing, Lucero, Jacinta D, Mahurkar, Anup, McMillen, Delissa, Miller, Jeremy A, Moussa, Marmar, Nery, Joseph R, Nicovich, Philip R, Niu, Sheng-Yong, Orvis, Joshua, Osteen, Julia K, Owen, Scott, Palmer, Carter R, Pham, Thanh, Plongthongkum, Nongluk, Poirion, Olivier, Reed, Nora M, Rimorin, Christine, Rivkin, Angeline, Romanow, William J, Sedeño-Cortés, Adriana E, Siletti, Kimberly, Somasundaram, Saroja, Sulc, Josef, Tieu, Michael, Torkelson, Amy, Tung, Herman, Wang, Xinxin, Xie, Fangming, Yanny, Anna Marie, Zhang, Renee, Ament, Seth A, Behrens, M Margarita, Bravo, Hector Corrada, Chun, Jerold, Dobin, Alexander, Gillis, Jesse, Hertzano, Ronna, Hof, Patrick R, Höllt, Thomas, Horwitz, Gregory D, Keene, C Dirk, Kharchenko, Peter V, Ko, Andrew L, Lelieveldt, Boudewijn P, Luo, Chongyuan, Mukamel, Eran A, Pinto-Duarte, António, Preissl, Sebastian, Regev, Aviv, Ren, Bing, Scheuermann, Richard H, Smith, Kimberly, Spain, William J, White, Owen R, Koch, Christof, Hawrylycz, Michael, Tasic, Bosiljka, Macosko, Evan Z, McCarroll, Steven A, and Ting, Jonathan T
- Subjects
Human Genome ,Neurosciences ,Genetics ,Biotechnology ,Underpinning research ,1.1 Normal biological development and functioning ,Neurological ,Animals ,Atlases as Topic ,Callithrix ,Epigenesis ,Genetic ,Epigenomics ,Female ,GABAergic Neurons ,Gene Expression Profiling ,Glutamates ,Humans ,In Situ Hybridization ,Fluorescence ,Male ,Mice ,Middle Aged ,Motor Cortex ,Neurons ,Organ Specificity ,Phylogeny ,Single-Cell Analysis ,Species Specificity ,Transcriptome ,General Science & Technology - Abstract
The primary motor cortex (M1) is essential for voluntary fine-motor control and is functionally conserved across mammals1. Here, using high-throughput transcriptomic and epigenomic profiling of more than 450,000 single nuclei in humans, marmoset monkeys and mice, we demonstrate a broadly conserved cellular makeup of this region, with similarities that mirror evolutionary distance and are consistent between the transcriptome and epigenome. The core conserved molecular identities of neuronal and non-neuronal cell types allow us to generate a cross-species consensus classification of cell types, and to infer conserved properties of cell types across species. Despite the overall conservation, however, many species-dependent specializations are apparent, including differences in cell-type proportions, gene expression, DNA methylation and chromatin state. Few cell-type marker genes are conserved across species, revealing a short list of candidate genes and regulatory mechanisms that are responsible for conserved features of homologous cell types, such as the GABAergic chandelier cells. This consensus transcriptomic classification allows us to use patch-seq (a combination of whole-cell patch-clamp recordings, RNA sequencing and morphological characterization) to identify corticospinal Betz cells from layer 5 in non-human primates and humans, and to characterize their highly specialized physiology and anatomy. These findings highlight the robust molecular underpinnings of cell-type diversity in M1 across mammals, and point to the genes and regulatory pathways responsible for the functional identity of cell types and their species-specific adaptations.
- Published
- 2021
13. A multimodal cell census and atlas of the mammalian primary motor cortex
- Author
-
Callaway, Edward M, Dong, Hong-Wei, Ecker, Joseph R, Hawrylycz, Michael J, Huang, Z Josh, Lein, Ed S, Ngai, John, Osten, Pavel, Ren, Bing, Tolias, Andreas Savas, White, Owen, Zeng, Hongkui, Zhuang, Xiaowei, Ascoli, Giorgio A, Behrens, M Margarita, Chun, Jerold, Feng, Guoping, Gee, James C, Ghosh, Satrajit S, Halchenko, Yaroslav O, Hertzano, Ronna, Lim, Byung Kook, Martone, Maryann E, Ng, Lydia, Pachter, Lior, Ropelewski, Alexander J, Tickle, Timothy L, Yang, X William, Zhang, Kun, Bakken, Trygve E, Berens, Philipp, Daigle, Tanya L, Harris, Julie A, Jorstad, Nikolas L, Kalmbach, Brian E, Kobak, Dmitry, Li, Yang Eric, Liu, Hanqing, Matho, Katherine S, Mukamel, Eran A, Naeemi, Maitham, Scala, Federico, Tan, Pengcheng, Ting, Jonathan T, Xie, Fangming, Zhang, Meng, Zhang, Zhuzhu, Zhou, Jingtian, Zingg, Brian, Armand, Ethan, Yao, Zizhen, Bertagnolli, Darren, Casper, Tamara, Crichton, Kirsten, Dee, Nick, Diep, Dinh, Ding, Song-Lin, Dong, Weixiu, Dougherty, Elizabeth L, Fong, Olivia, Goldman, Melissa, Goldy, Jeff, Hodge, Rebecca D, Hu, Lijuan, Keene, C Dirk, Krienen, Fenna M, Kroll, Matthew, Lake, Blue B, Lathia, Kanan, Linnarsson, Sten, Liu, Christine S, Macosko, Evan Z, McCarroll, Steven A, McMillen, Delissa, Nadaf, Naeem M, Nguyen, Thuc Nghi, Palmer, Carter R, Pham, Thanh, Plongthongkum, Nongluk, Reed, Nora M, Regev, Aviv, Rimorin, Christine, Romanow, William J, Savoia, Steven, Siletti, Kimberly, Smith, Kimberly, Sulc, Josef, Tasic, Bosiljka, Tieu, Michael, Torkelson, Amy, Tung, Herman, van Velthoven, Cindy TJ, Vanderburg, Charles R, Yanny, Anna Marie, Fang, Rongxin, Hou, Xiaomeng, Lucero, Jacinta D, Osteen, Julia K, Pinto-Duarte, Antonio, and Poirion, Olivier
- Subjects
Genetics ,Neurosciences ,Human Genome ,Biotechnology ,Underpinning research ,1.1 Normal biological development and functioning ,Neurological ,Animals ,Atlases as Topic ,Callithrix ,Epigenomics ,Female ,Gene Expression Profiling ,Glutamates ,Humans ,In Situ Hybridization ,Fluorescence ,Male ,Mice ,Motor Cortex ,Neurons ,Organ Specificity ,Phylogeny ,Single-Cell Analysis ,Species Specificity ,Transcriptome ,BRAIN Initiative Cell Census Network ,General Science & Technology - Abstract
Here we report the generation of a multimodal cell census and atlas of the mammalian primary motor cortex as the initial product of the BRAIN Initiative Cell Census Network (BICCN). This was achieved by coordinated large-scale analyses of single-cell transcriptomes, chromatin accessibility, DNA methylomes, spatially resolved single-cell transcriptomes, morphological and electrophysiological properties and cellular resolution input-output mapping, integrated through cross-modal computational analysis. Our results advance the collective knowledge and understanding of brain cell-type organization1-5. First, our study reveals a unified molecular genetic landscape of cortical cell types that integrates their transcriptome, open chromatin and DNA methylation maps. Second, cross-species analysis achieves a consensus taxonomy of transcriptomic types and their hierarchical organization that is conserved from mouse to marmoset and human. Third, in situ single-cell transcriptomics provides a spatially resolved cell-type atlas of the motor cortex. Fourth, cross-modal analysis provides compelling evidence for the transcriptomic, epigenomic and gene regulatory basis of neuronal phenotypes such as their physiological and anatomical properties, demonstrating the biological validity and genomic underpinning of neuron types. We further present an extensive genetic toolset for targeting glutamatergic neuron types towards linking their molecular and developmental identity to their circuit function. Together, our results establish a unifying and mechanistic framework of neuronal cell-type organization that integrates multi-layered molecular genetic and spatial information with multi-faceted phenotypic properties.
- Published
- 2021
14. Investigating rare pathogenic/likely pathogenic exonic variation in bipolar disorder.
- Author
-
Jia, Xiaoming, Goes, Fernando S, Locke, Adam E, Palmer, Duncan, Wang, Weiqing, Cohen-Woods, Sarah, Genovese, Giulio, Jackson, Anne U, Jiang, Chen, Kvale, Mark, Mullins, Niamh, Nguyen, Hoang, Pirooznia, Mehdi, Rivera, Margarita, Ruderfer, Douglas M, Shen, Ling, Thai, Khanh, Zawistowski, Matthew, Zhuang, Yongwen, Abecasis, Gonçalo, Akil, Huda, Bergen, Sarah, Burmeister, Margit, Chapman, Sinéad, DelaBastide, Melissa, Juréus, Anders, Kang, Hyun Min, Kwok, Pui-Yan, Li, Jun Z, Levy, Shawn E, Monson, Eric T, Moran, Jennifer, Sobell, Janet, Watson, Stanley, Willour, Virginia, Zöllner, Sebastian, Adolfsson, Rolf, Blackwood, Douglas, Boehnke, Michael, Breen, Gerome, Corvin, Aiden, Craddock, Nick, DiFlorio, Arianna, Hultman, Christina M, Landen, Mikael, Lewis, Cathryn, McCarroll, Steven A, Richard McCombie, W, McGuffin, Peter, McIntosh, Andrew, McQuillin, Andrew, Morris, Derek, Myers, Richard M, O'Donovan, Michael, Ophoff, Roel, Boks, Marco, Kahn, Rene, Ouwehand, Willem, Owen, Michael, Pato, Carlos, Pato, Michele, Posthuma, Danielle, Potash, James B, Reif, Andreas, Sklar, Pamela, Smoller, Jordan, Sullivan, Patrick F, Vincent, John, Walters, James, Neale, Benjamin, Purcell, Shaun, Risch, Neil, Schaefer, Catherine, Stahl, Eli A, Zandi, Peter P, and Scott, Laura J
- Subjects
Humans ,Genetic Predisposition to Disease ,Bipolar Disorder ,Schizophrenia ,Polymorphism ,Single Nucleotide ,Genetic Variation ,Genome-Wide Association Study ,Exome ,Brain Disorders ,Prevention ,Clinical Research ,Human Genome ,Serious Mental Illness ,Genetics ,Mental Health ,2.1 Biological and endogenous factors ,Mental health ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Bipolar disorder (BD) is a serious mental illness with substantial common variant heritability. However, the role of rare coding variation in BD is not well established. We examined the protein-coding (exonic) sequences of 3,987 unrelated individuals with BD and 5,322 controls of predominantly European ancestry across four cohorts from the Bipolar Sequencing Consortium (BSC). We assessed the burden of rare, protein-altering, single nucleotide variants classified as pathogenic or likely pathogenic (P-LP) both exome-wide and within several groups of genes with phenotypic or biologic plausibility in BD. While we observed an increased burden of rare coding P-LP variants within 165 genes identified as BD GWAS regions in 3,987 BD cases (meta-analysis OR = 1.9, 95% CI = 1.3-2.8, one-sided p = 6.0 × 10-4), this enrichment did not replicate in an additional 9,929 BD cases and 14,018 controls (OR = 0.9, one-side p = 0.70). Although BD shares common variant heritability with schizophrenia, in the BSC sample we did not observe a significant enrichment of P-LP variants in SCZ GWAS genes, in two classes of neuronal synaptic genes (RBFOX2 and FMRP) associated with SCZ or in loss-of-function intolerant genes. In this study, the largest analysis of exonic variation in BD, individuals with BD do not carry a replicable enrichment of rare P-LP variants across the exome or in any of several groups of genes with biologic plausibility. Moreover, despite a strong shared susceptibility between BD and SCZ through common genetic variation, we do not observe an association between BD risk and rare P-LP coding variants in genes known to modulate risk for SCZ.
- Published
- 2021
15. Early role for a Na+,K+-ATPase (ATP1A3) in brain development
- Author
-
Smith, Richard S, Florio, Marta, Akula, Shyam K, Neil, Jennifer E, Wang, Yidi, Hill, R Sean, Goldman, Melissa, Mullally, Christopher D, Reed, Nora, Bello-Espinosa, Luis, Flores-Sarnat, Laura, Monteiro, Fabiola Paoli, Erasmo, Casella B, Pinto E Vairo, Filippo, Morava, Eva, Barkovich, A James, Gonzalez-Heydrich, Joseph, Brownstein, Catherine A, McCarroll, Steven A, and Walsh, Christopher A
- Subjects
Pediatric ,Neurosciences ,Genetics ,Underpinning research ,1.1 Normal biological development and functioning ,Neurological ,Adult ,Brain ,Child ,Female ,Fetus ,Gene Expression Regulation ,Developmental ,Humans ,Infant ,Infant ,Newborn ,Interneurons ,Magnetic Resonance Imaging ,Male ,Mutation ,Neocortex ,Neurons ,Parvalbumins ,Phenotype ,Polymicrogyria ,RNA ,Messenger ,Single-Cell Analysis ,Sodium-Potassium-Exchanging ATPase ,cortex development ,ATP1A3 ,developmental channelopathy ,polymicrogyria ,cortical malformation - Abstract
Osmotic equilibrium and membrane potential in animal cells depend on concentration gradients of sodium (Na+) and potassium (K+) ions across the plasma membrane, a function catalyzed by the Na+,K+-ATPase α-subunit. Here, we describe ATP1A3 variants encoding dysfunctional α3-subunits in children affected by polymicrogyria, a developmental malformation of the cerebral cortex characterized by abnormal folding and laminar organization. To gain cell-biological insights into the spatiotemporal dynamics of prenatal ATP1A3 expression, we built an ATP1A3 transcriptional atlas of fetal cortical development using mRNA in situ hybridization and transcriptomic profiling of ∼125,000 individual cells with single-cell RNA sequencing (Drop-seq) from 11 areas of the midgestational human neocortex. We found that fetal expression of ATP1A3 is most abundant to a subset of excitatory neurons carrying transcriptional signatures of the developing subplate, yet also maintains expression in nonneuronal cell populations. Moving forward a year in human development, we profiled ∼52,000 nuclei from four areas of an infant neocortex and show that ATP1A3 expression persists throughout early postnatal development, most predominantly in inhibitory neurons, including parvalbumin interneurons in the frontal cortex. Finally, we discovered the heteromeric Na+,K+-ATPase pump complex may form nonredundant cell-type-specific α-β isoform combinations, including α3-β1 in excitatory neurons and α3-β2 in inhibitory neurons. Together, the developmental malformation phenotype of affected individuals and single-cell ATP1A3 expression patterns point to a key role for α3 in human cortex development, as well as a cell-type basis for pre- and postnatal ATP1A3-associated diseases.
- Published
- 2021
16. High-dimensional phenotyping to define the genetic basis of cellular morphology
- Author
-
Tegtmeyer, Matthew, Arora, Jatin, Asgari, Samira, Cimini, Beth A., Nadig, Ajay, Peirent, Emily, Liyanage, Dhara, Way, Gregory P., Weisbart, Erin, Nathan, Aparna, Amariuta, Tiffany, Eggan, Kevin, Haghighi, Marzieh, McCarroll, Steven A., O’Connor, Luke, Carpenter, Anne E., Singh, Shantanu, Nehme, Ralda, and Raychaudhuri, Soumya
- Published
- 2024
- Full Text
- View/download PDF
17. Repeat polymorphisms underlie top genetic risk loci for glaucoma and colorectal cancer
- Author
-
Mukamel, Ronen E., Handsaker, Robert E., Sherman, Maxwell A., Barton, Alison R., Hujoel, Margaux L.A., McCarroll, Steven A., and Loh, Po-Ru
- Published
- 2023
- Full Text
- View/download PDF
18. Schizophrenia-associated somatic copy-number variants from 12,834 cases reveal recurrent NRXN1 and ABCB11 disruptions
- Author
-
Marshall, Christian R., Merico, Daniele, Thiruvahindrapuram, Bhooma, Wang, Zhouzhi, Scherer, Stephen W., Howrigan, Daniel P, Ripke, Stephan, Bulik-Sullivan, Brendan, Farh, Kai-How, Fromer, Menachem, Goldstein, Jacqueline I., Huang, Hailiang, Lee, Phil, Daly, Mark J., Neale, Benjamin M., Belliveau, Richard A., Jr., Bergen, Sarah E., Bevilacqua, Elizabeth, Chambert, Kimberley D., O'Dushlaine, Colm, Scolnick, Edward M., Smoller, Jordan W., Moran, Jennifer L., Palotie, Aarno, Petryshen, Tracey L., Wu, Wenting, Greer, Douglas S., Antaki, Danny, Shetty, Aniket, Gujral, Madhusudan, Brandler, William M., Malhotra, Dheeraj, Fuentes Fajarado, Karin V., Maile, Michelle S., Holmans, Peter A., Carrera, Noa, Craddock, Nick, Escott-Price, Valentina, Georgieva, Lyudmila, Hamshere, Marian L., Kavanagh, David, Legge, Sophie E., Pocklington, Andrew J., Richards, Alexander L., Ruderfer, Douglas M., Williams, Nigel M., Kirov, George, Owen, Michael J., Pinto, Dalila, Cai, Guiqing, Davis, Kenneth L., Drapeau, Elodie, Friedman, Joseph I, Haroutunian, Vahram, Parkhomenko, Elena, Reichenberg, Abraham, Silverman, Jeremy M., Buxbaum, Joseph D., Domenici, Enrico, Agartz, Ingrid, Djurovic, Srdjan, Mattingsdal, Morten, Melle, Ingrid, Andreassen, Ole A., Jönsson, Erik G., Söderman, Erik, Albus, Margot, Alexander, Madeline, Laurent, Claudine, Levinson, Douglas F., Amin, Farooq, Atkins, Joshua, Cairns, Murray J., Scott, Rodney J., Tooney, Paul A., Wu, Jing Qin, Bacanu, Silviu A., Bigdeli, Tim B., Reimers, Mark A., Webb, Bradley T., Wolen, Aaron R., Wormley, Brandon K., Kendler, Kenneth S., Riley, Brien P., Kähler, Anna K., Magnusson, Patrik K.E., Hultman, Christina M., Bertalan, Marcelo, Hansen, Thomas, Olsen, Line, Rasmussen, Henrik B., Werge, Thomas, Mattheisen, Manuel, Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Roffman, Joshua L., Byerley, William, Cahn, Wiepke, Kahn, René S, Strengman, Eric, Ophoff, Roel A., Carr, Vaughan J., Catts, Stanley V., Henskens, Frans A., Loughland, Carmel M., Michie, Patricia T., Pantelis, Christos, Schall, Ulrich, Jablensky, Assen V., Kelly, Brian J., Campion, Dominique, Cantor, Rita M., Cheng, Wei, Cloninger, C. Robert, Svrakic, Dragan M, Cohen, David, Cormican, Paul, Donohoe, Gary, Morris, Derek W., Corvin, Aiden, Gill, Michael, Crespo-Facorro, Benedicto, Crowley, James J., Farrell, Martilias S., Giusti-Rodríguez, Paola, Kim, Yunjung, Szatkiewicz, Jin P., Williams, Stephanie, Curtis, David, Pimm, Jonathan, Gurling, Hugh, McQuillin, Andrew, Davidson, Michael, Weiser, Mark, Degenhardt, Franziska, Forstner, Andreas J., Herms, Stefan, Hoffmann, Per, Hofman, Andrea, Cichon, Sven, Nöthen, Markus M., Del Favero, Jurgen, DeLisi, Lynn E., McCarley, Robert W., Levy, Deborah L., Mesholam-Gately, Raquelle I., Seidman, Larry J., Dikeos, Dimitris, Papadimitriou, George N., Dinan, Timothy, Duan, Jubao, Sanders, Alan R., Gejman, Pablo V., Gershon, Elliot S., Dudbridge, Frank, Eichhammer, Peter, Eriksson, Johan, Salomaa, Veikko, Essioux, Laurent, Fanous, Ayman H., Knowles, James A., Pato, Michele T., Pato, Carlos N., Frank, Josef, Meier, Sandra, Schulze, Thomas G., Strohmaier, Jana, Witt, Stephanie H., Rietschel, Marcella, Franke, Lude, Karjalainen, Juha, Freedman, Robert, Olincy, Ann, Freimer, Nelson B., Purcell, Shaun M., Roussos, Panos, Stahl, Eli A., Sklar, Pamela, Giegling, Ina, Hartmann, Annette M., Konte, Bettina, Rujescu, Dan, Godard, Stephanie, Hirschhorn, Joel N., Pers, Tune H., Price, Alkes, Esko, Tõnu, Gratten, Jacob, Lee, S. Hong, Visscher, Peter M., Wray, Naomi R., Mowry, Bryan J., de Haan, Lieuwe, Meijer, Carin J., Hansen, Mark, Ikeda, Masashi, Iwata, Nakao, Joa, Inge, Kalaydjieva, Luba, Keller, Matthew C., Kennedy, James L., Zai, Clement C., Knight, Jo, Lerer, Bernard, Liang, Kung-Yee, Lieberman, Jeffrey, Stroup, T. Scott, Lönnqvist, Jouko, Suvisaari, Jaana, Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, McDonald, Colm, McIntosh, Andrew M., Blackwood, Douglas H.R., Metspalu, Andres, Milani, Lili, Milanova, Vihra, Mokrab, Younes, Collier, David A., Müller-Myhsok, Bertram, Murphy, Kieran C., Murray, Robin M., Powell, John, Myin-Germeys, Inez, Van Os, Jim, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Pulver, Ann E., Nicodemus, Kristin K., Nisenbaum, Laura, Nordin, Annelie, Adolfsson, Rolf, O'Callaghan, Eadbhard, Oh, Sang-Yun, O'Neill, F. Anthony, Paunio, Tiina, Pietiläinen, Olli, Perkins, Diana O., Quested, Digby, Savitz, Adam, Li, Qingqin S., Schwab, Sibylle G., Shi, Jianxin, Spencer, Chris C.A., Thirumalai, Srinivas, Veijola, Juha, Waddington, John, Walsh, Dermot, Wildenauer, Dieter B., Bramon, Elvira, Darvasi, Ariel, Posthuma, Danielle, St. Clair, David, Shanta, Omar, Klein, Marieke, Park, Peter J., Weinberger, Daniel, Moran, John V., Gage, Fred H., Vaccarino, Flora M., Gleeson, Joseph, Mathern, Gary, Courchesne, Eric, Roy, Subhojit, Bizzotto, Sara, Coulter, Michael, Dias, Caroline, D'Gama, Alissa, Ganz, Javier, Hill, Robert, Huang, August Yue, Khoshkhoo, Sattar, Kim, Sonia, Lodato, Michael, Miller, Michael, Borges-Monroy, Rebeca, Rodin, Rachel, Zhou, Zinan, Bohrson, Craig, Chu, Chong, Cortes-Ciriano, Isidro, Dou, Yanmei, Galor, Alon, Gulhan, Doga, Kwon, Minseok, Luquette, Joe, Viswanadham, Vinay, Jones, Attila, Rosenbluh, Chaggai, Cho, Sean, Langmead, Ben, Thorpe, Jeremy, Erwin, Jennifer, Jaffe, Andrew, McConnell, Michael, Narurkar, Rujuta, Paquola, Apua, Shin, Jooheon, Straub, Richard, Abyzov, Alexej, Bae, Taejeong, Jang, Yeongjun, Wang, Yifan, Gage, Fred, Linker, Sara, Reed, Patrick, Wang, Meiyan, Urban, Alexander, Zhou, Bo, Zhu, Xiaowei, Pattni, Reenal, Amero, Aitor Serres, Juan, David, Lobon, Irene, Marques-Bonet, Tomas, Moruno, Manuel Solis, Perez, Raquel Garcia, Povolotskaya, Inna, Soriano, Eduardo, Averbuj, Dan, Ball, Laurel, Breuss, Martin, Yang, Xiaoxu, Chung, Changuk, Emery, Sarah B., Flasch, Diane A., Kidd, Jeffrey M., Kopera, Huira C., Kwan, Kenneth Y., Mills, Ryan E., Moldovan, John B., Sun, Chen, Zhao, Xuefang, Zhou, Weichen, Frisbie, Trenton J., Cherskov, Adriana, Fasching, Liana, Jourdon, Alexandre, Pochareddy, Sirisha, Scuderi, Soraya, Sestan, Nenad, Maury, Eduardo A., Sherman, Maxwell A., Genovese, Giulio, Gilgenast, Thomas G., Kamath, Tushar, Burris, S.J., Rajarajan, Prashanth, Flaherty, Erin, Akbarian, Schahram, Chess, Andrew, McCarroll, Steven A., Loh, Po-Ru, Phillips-Cremins, Jennifer E., Brennand, Kristen J., Macosko, Evan Z., Walters, James T.R., O’Donovan, Michael, Sullivan, Patrick, Sebat, Jonathan, Lee, Eunjung A., and Walsh, Christopher A.
- Published
- 2023
- Full Text
- View/download PDF
19. Robust induction of functional astrocytes using NGN2 expression in human pluripotent stem cells
- Author
-
Berryer, Martin H., Tegtmeyer, Matthew, Binan, Loïc, Valakh, Vera, Nathanson, Anna, Trendafilova, Darina, Crouse, Ethan, Klein, Jenny A., Meyer, Daniel, Pietiläinen, Olli, Rapino, Francesca, Farhi, Samouil L., Rubin, Lee L., McCarroll, Steven A., Nehme, Ralda, and Barrett, Lindy E.
- Published
- 2023
- Full Text
- View/download PDF
20. Contributions of common genetic variants to risk of schizophrenia among individuals of African and Latino ancestry
- Author
-
Bigdeli, Tim B, Genovese, Giulio, Georgakopoulos, Penelope, Meyers, Jacquelyn L, Peterson, Roseann E, Iyegbe, Conrad O, Medeiros, Helena, Valderrama, Jorge, Achtyes, Eric D, Kotov, Roman, Stahl, Eli A, Abbott, Colony, Azevedo, Maria Helena, Belliveau, Richard A, Bevilacqua, Elizabeth, Bromet, Evelyn J, Byerley, William, Carvalho, Celia Barreto, Chapman, Sinéad B, DeLisi, Lynn E, Dumont, Ashley L, O’Dushlaine, Colm, Evgrafov, Oleg V, Fochtmann, Laura J, Gage, Diane, Kennedy, James L, Kinkead, Becky, Macedo, Antonio, Moran, Jennifer L, Morley, Christopher P, Dewan, Mantosh J, Nemesh, James, Perkins, Diana O, Purcell, Shaun M, Rakofsky, Jeffrey J, Scolnick, Edward M, Sklar, Brooke M, Sklar, Pamela, Smoller, Jordan W, Sullivan, Patrick F, Macciardi, Fabio, Marder, Stephen R, Gur, Ruben C, Gur, Raquel E, Braff, David L, Nicolini, Humberto, Escamilla, Michael A, Vawter, Marquis P, Sobell, Janet L, Malaspina, Dolores, Lehrer, Douglas S, Buckley, Peter F, Rapaport, Mark H, Knowles, James A, Fanous, Ayman H, Pato, Michele T, McCarroll, Steven A, and Pato, Carlos N
- Subjects
Human Genome ,Serious Mental Illness ,Clinical Research ,Schizophrenia ,Brain Disorders ,Genetics ,Mental Health ,Aetiology ,2.1 Biological and endogenous factors ,Black People ,Female ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Hispanic or Latino ,Humans ,Male ,Polymorphism ,Single Nucleotide ,Consortium on the Genetics of Schizophrenia (COGS) Investigators ,Genomic Psychiatry Cohort (GPC) Consortium ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry - Abstract
Schizophrenia is a common, chronic and debilitating neuropsychiatric syndrome affecting tens of millions of individuals worldwide. While rare genetic variants play a role in the etiology of schizophrenia, most of the currently explained liability is within common variation, suggesting that variation predating the human diaspora out of Africa harbors a large fraction of the common variant attributable heritability. However, common variant association studies in schizophrenia have concentrated mainly on cohorts of European descent. We describe genome-wide association studies of 6152 cases and 3918 controls of admixed African ancestry, and of 1234 cases and 3090 controls of Latino ancestry, representing the largest such study in these populations to date. Combining results from the samples with African ancestry with summary statistics from the Psychiatric Genomics Consortium (PGC) study of schizophrenia yielded seven newly genome-wide significant loci, and we identified an additional eight loci by incorporating the results from samples with Latino ancestry. Leveraging population differences in patterns of linkage disequilibrium, we achieve improved fine-mapping resolution at 22 previously reported and 4 newly significant loci. Polygenic risk score profiling revealed improved prediction based on trans-ancestry meta-analysis results for admixed African (Nagelkerke's R2 = 0.032; liability R2 = 0.017; P
- Published
- 2020
21. Using brain cell-type-specific protein interactomes to interpret neurodevelopmental genetic signals in schizophrenia
- Author
-
Ripke, Stephan, Neale, Benjamin M., Corvin, Aiden, Walters, James T.R., Farh, Kai-How, Holmans, Peter A., Lee, Phil, Bulik-Sullivan, Brendan, Collier, David A., Huang, Hailiang, Pers, Tune H., Agartz, Ingrid, Agerbo, Esben, Albus, Margot, Alexander, Madeline, Amin, Farooq, Bacanu, Silviu A., Begemann, Martin, Belliveau, Richard A., Jr., Bene, Judit, Bergen, Sarah E., Bevilacqua, Elizabeth, Bigdeli, Tim B., Black, Donald W., Bruggeman, Richard, Buccola, Nancy G., Buckner, Randy L., Byerley, William, Cahn, Wiepke, Cai, Guiqing, Campion, Dominique, Cantor, Rita M., Carr, Vaughan J., Carrera, Noa, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C.K., Chan, Ronald Y.L., Chen, Eric Y.H., Cheng, Wei, Cheung, Eric FC., Chong, Siow Ann, Cloninger, C. Robert, Cohen, David, Cohen, Nadine, Cormican, Paul, Craddock, Nick, Crowley, James J., Curtis, David, Davidson, Michael, Davis, Kenneth L., Degenhardt, Franziska, Del Favero, Jurgen, Demontis, Ditte, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Donohoe, Gary, Drapeau, Elodie, Duan, Jubao, Dudbridge, Frank, Durmishi, Naser, Eichhammer, Peter, Eriksson, Johan, Escott-Price, Valentina, Essioux, Laurent, Fanous, Ayman H., Farrell, Martilias S., Frank, Josef, Franke, Lude, Freedman, Robert, Freimer, Nelson B., Friedl, Marion, Friedman, Joseph I., Fromer, Menachem, Genovese, Giulio, Georgieva, Lyudmila, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., Golimbet, Vera, Gopal, Srihari, Gratten, Jacob, de Haan, Lieuwe, Hammer, Christian, Hamshere, Marian L., Hansen, Mark, Hansen, Thomas, Haroutunian, Vahram, Hartmann, Annette M., Henskens, Frans A., Herms, Stefan, Hirschhorn, Joel N., Hoffmann, Per, Hofman, Andrea, Hollegaard, Mads V., Hougaard, David M., Ikeda, Masashi, Joa, Inge, Julià, Antonio, Kahn, René S., Kalaydjieva, Luba, Karachanak-Yankova, Sena, Karjalainen, Juha, Kavanagh, David, Keller, Matthew C., Kennedy, James L., Khrunin, Andrey, Kim, Yunjung, Klovins, Janis, Knowles, James A., Konte, Bettina, Kucinskas, Vaidutis, Kucinskiene, Zita Ausrele, Kuzelova-Ptackova, Hana, Kähler, Anna K., Laurent, Claudine, Lee, Jimmy, Lee, S. Hong, Legge, Sophie E., Lerer, Bernard, Li, Miaoxin, Li, Tao, Liang, Kung-Yee, Lieberman, Jeffrey, Limborska, Svetlana, Loughland, Carmel M., Lubinski, Jan, Lönnqvist, Jouko, Macek, Milan, Magnusson, Patrik K.E., Maher, Brion S., Maier, Wolfgang, Mallet, Jacques, Marsal, Sara, Mattheisen, Manuel, Mattingsdal, Morten, McCarley, Robert W., McDonald, Colm, McIntosh, Andrew M., Meier, Sandra, Meijer, Carin J., Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mokrab, Younes, Morris, Derek W., Mors, Ole, Murphy, Kieran C., Murray, Robin M., Myin-Germeys, Inez, Müller-Myhsok, Bertram, Nelis, Mari, Nenadic, Igor, Nertney, Deborah A., Nestadt, Gerald, Nicodemus, Kristin K., Nikitina-Zake, Liene, Nisenbaum, Laura, Nordin, Annelie, O'Callaghan, Eadbhard, O'Dushlaine, Colm, O'Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Olsen, Line, Van Os, Jim, Pantelis, Christos, Papadimitriou, George N., Papiol, Sergi, Parkhomenko, Elena, Pato, Michele T., Paunio, Tiina, Pejovic-Milovancevic, Milica, Perkins, Diana O., Pietiläinen, Olli, Pimm, Jonathan, Pocklington, Andrew J., Powell, John, Price, Alkes, Pulver, Ann E., Purcell, Shaun M., Quested, Digby, Rasmussen, Henrik B., Reichenberg, Abraham, Reimers, Mark A., Richards, Alexander L., Roffman, Joshua L., Roussos, Panos, Ruderfer, Douglas M., Salomaa, Veikko, Sanders, Alan R., Schall, Ulrich, Schubert, Christian R., Schulze, Thomas G., Schwab, Sibylle G., Scolnick, Edward M., Scott, Rodney J., Seidman, Larry J., Shi, Jianxin, Sigurdsson, Engilbert, Silagadze, Teimuraz, Silverman, Jeremy M., Sim, Kang, Slominsky, Petr, Smoller, Jordan W., So, Hon-Cheong, Spencer, Chris C.A., Stahl, Eli A., Stefansson, Hreinn, Steinberg, Stacy, Stogmann, Elisabeth, Straub, Richard E., Strengman, Eric, Strohmaier, Jana, Stroup, T Scott, Subramaniam, Mythily, Suvisaari, Jaana, Svrakic, Dragan M., Szatkiewicz, Jin P., Söderman, Erik, Thirumalai, Srinivas, Toncheva, Draga, Tosato, Sarah, Veijola, Juha, Waddington, John, Walsh, Dermot, Wang, Dai, Wang, Qiang, Webb, Bradley T., Weiser, Mark, Wildenauer, Dieter B., Williams, Nigel M., Williams, Stephanie, Witt, Stephanie H., Wolen, Aaron R., Wong, Emily H.M., Wormley, Brandon K., Xi, Hualin Simon, Zai, Clement C., Zheng, Xuebin, Zimprich, Fritz, Wray, Naomi R., Stefansson, Kari, Visscher, Peter M., Adolfsson, Rolf, Andreassen, Ole A., Blackwood, Douglas H.R., Bramon, Elvira, Buxbaum, Joseph D., Børglum, Anders D., Cichon, Sven, Darvasi, Ariel, Domenici, Enrico, Ehrenreich, Hannelore, Esko, Tõnu, Gejman, Pablo V., Gill, Michael, Gurling, Hugh, Hultman, Christina M., Iwata, Nakao, Jablensky, Assen V., Jönsson, Erik G., Kendler, Kenneth S., Kirov, George, Knight, Jo, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., McCarroll, Steven A., McQuillin, Andrew, Moran, Jennifer L., Mortensen, Preben B., Mowry, Bryan J., Nöthen, Markus M., Ophoff, Roel A., Owen, Michael J., Palotie, Aarno, Pato, Carlos N., Petryshen, Tracey L., Posthuma, Danielle, Rietschel, Marcella, Riley, Brien P., Rujescu, Dan, Sham, Pak C., Sklar, Pamela, St Clair, David, Weinberger, Daniel R., Wendland, Jens R., Werge, Thomas, Daly, Mark J., Sullivan, Patrick F., O'Donovan, Michael C., Qin, Shengying, Sawa, Akira, Kahn, Rene, Hong, Kyung Sue, Shi, Wenzhao, Tsuang, Ming, Itokawa, Masanari, Feng, Gang, Glatt, Stephen J., Ma, Xiancang, Tang, Jinsong, Ruan, Yunfeng, Liu, Ruize, Zhu, Feng, Horiuchi, Yasue, Lee, Byung Dae, Joo, Eun-Jeong, Myung, Woojae, Ha, Kyooseob, Won, Hong-Hee, Baek, Ji Hyung, Chung, Young Chul, Kim, Sung-Wan, Kusumawardhani, Agung, Chen, Wei J., Hwu, Hai-Gwo, Hishimoto, Akitoyo, Otsuka, Ikuo, Sora, Ichiro, Toyota, Tomoko, Yoshikawa, Takeo, Kunugi, Hiroshi, Hattori, Kotaro, Ishiwata, Sayuri, Numata, Shusuke, Ohmori, Tetsuro, Arai, Makoto, Ozeki, Yuji, Fujii, Kumiko, Kim, Se Joo, Lee, Heon-Jeong, Ahn, Yong Min, Kim, Se Hyun, Akiyama, Kazufumi, Shimoda, Kazutaka, Kinoshita, Makoto, Hsu, Yu-Han H., Pintacuda, Greta, Nacu, Eugeniu, Kim, April, Tsafou, Kalliopi, Petrossian, Natalie, Crotty, William, Suh, Jung Min, Riseman, Jackson, Martin, Jacqueline M., Biagini, Julia C., Mena, Daya, Ching, Joshua K.T., Malolepsza, Edyta, Li, Taibo, Singh, Tarjinder, Ge, Tian, Egri, Shawn B., Tanenbaum, Benjamin, Stanclift, Caroline R., Apffel, Annie M., Carr, Steven A., Schenone, Monica, Jaffe, Jake, Fornelos, Nadine, Eggan, Kevin C., and Lage, Kasper
- Published
- 2023
- Full Text
- View/download PDF
22. Complement genes contribute sex-biased vulnerability in diverse disorders.
- Author
-
Kamitaki, Nolan, Sekar, Aswin, Handsaker, Robert E, de Rivera, Heather, Tooley, Katherine, Morris, David L, Taylor, Kimberly E, Whelan, Christopher W, Tombleson, Philip, Loohuis, Loes M Olde, Schizophrenia Working Group of the Psychiatric Genomics Consortium, Boehnke, Michael, Kimberly, Robert P, Kaufman, Kenneth M, Harley, John B, Langefeld, Carl D, Seidman, Christine E, Pato, Michele T, Pato, Carlos N, Ophoff, Roel A, Graham, Robert R, Criswell, Lindsey A, Vyse, Timothy J, and McCarroll, Steven A
- Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Humans ,Sjogren's Syndrome ,Lupus Erythematosus ,Systemic ,Genetic Predisposition to Disease ,HLA Antigens ,Major Histocompatibility Complex ,Sex Characteristics ,Haplotypes ,Alleles ,Adult ,Middle Aged ,Complement C3 ,Complement C4 ,Female ,Male ,Young Adult ,Lupus ,Brain Disorders ,Schizophrenia ,Biotechnology ,Genetics ,Mental Health ,Autoimmune Disease ,2.1 Biological and endogenous factors ,Inflammatory and immune system ,General Science & Technology - Abstract
Many common illnesses, for reasons that have not been identified, differentially affect men and women. For instance, the autoimmune diseases systemic lupus erythematosus (SLE) and Sjögren's syndrome affect nine times more women than men1, whereas schizophrenia affects men with greater frequency and severity relative to women2. All three illnesses have their strongest common genetic associations in the major histocompatibility complex (MHC) locus, an association that in SLE and Sjögren's syndrome has long been thought to arise from alleles of the human leukocyte antigen (HLA) genes at that locus3-6. Here we show that variation of the complement component 4 (C4) genes C4A and C4B, which are also at the MHC locus and have been linked to increased risk for schizophrenia7, generates 7-fold variation in risk for SLE and 16-fold variation in risk for Sjögren's syndrome among individuals with common C4 genotypes, with C4A protecting more strongly than C4B in both illnesses. The same alleles that increase risk for schizophrenia greatly reduce risk for SLE and Sjögren's syndrome. In all three illnesses, C4 alleles act more strongly in men than in women: common combinations of C4A and C4B generated 14-fold variation in risk for SLE, 31-fold variation in risk for Sjögren's syndrome, and 1.7-fold variation in schizophrenia risk among men (versus 6-fold, 15-fold and 1.26-fold variation in risk among women, respectively). At a protein level, both C4 and its effector C3 were present at higher levels in cerebrospinal fluid and plasma8,9 in men than in women among adults aged between 20 and 50 years, corresponding to the ages of differential disease vulnerability. Sex differences in complement protein levels may help to explain the more potent effects of C4 alleles in men, women's greater risk of SLE and Sjögren's syndrome and men's greater vulnerability to schizophrenia. These results implicate the complement system as a source of sexual dimorphism in vulnerability to diverse illnesses.
- Published
- 2020
23. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.
- Author
-
Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
- Subjects
NHLBI TOPMed Lipids Working Group - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
- Published
- 2020
24. Exome sequencing in schizophrenia-affected parent–offspring trios reveals risk conferred by protein-coding de novo mutations
- Author
-
Howrigan, Daniel P, Rose, Samuel A, Samocha, Kaitlin E, Fromer, Menachem, Cerrato, Felecia, Chen, Wei J, Churchhouse, Claire, Chambert, Kimberly, Chandler, Sharon D, Daly, Mark J, Dumont, Ashley, Genovese, Giulio, Hwu, Hai-Gwo, Laird, Nan, Kosmicki, Jack A, Moran, Jennifer L, Roe, Cheryl, Singh, Tarjinder, Wang, Shi-Heng, Faraone, Stephen V, Glatt, Stephen J, McCarroll, Steven A, Tsuang, Ming, and Neale, Benjamin M
- Subjects
Serious Mental Illness ,Schizophrenia ,Mental Health ,Biotechnology ,Human Genome ,Clinical Research ,Genetics ,Brain Disorders ,2.1 Biological and endogenous factors ,Aetiology ,Adult ,Child ,Family ,Female ,Genetic Predisposition to Disease ,Humans ,Male ,Mutation ,Parents ,Exome Sequencing ,Neurosciences ,Psychology ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
Protein-coding de novo mutations (DNMs) are significant risk factors in many neurodevelopmental disorders, whereas schizophrenia (SCZ) risk associated with DNMs has thus far been shown to be modest. We analyzed DNMs from 1,695 SCZ-affected trios and 1,077 published SCZ-affected trios to better understand the contribution to SCZ risk. Among 2,772 SCZ probands, exome-wide DNM burden remained modest. Gene set analyses revealed that SCZ DNMs were significantly concentrated in genes that were highly expressed in the brain, that were under strong evolutionary constraint and/or overlapped with genes identified in other neurodevelopmental disorders. No single gene surpassed exome-wide significance; however, 16 genes were recurrently hit by protein-truncating DNMs, corresponding to a 3.15-fold higher rate than the mutation model expectation (permuted 95% confidence interval: 1-10 genes; permuted P = 3 × 10-5). Overall, DNMs explain a small fraction of SCZ risk, and larger samples are needed to identify individual risk genes, as coding variation across many genes confers risk for SCZ in the population.
- Published
- 2020
25. Comparative genetic architectures of schizophrenia in East Asian and European populations
- Author
-
Lam, Max, Chen, Chia-Yen, Li, Zhiqiang, Martin, Alicia R, Bryois, Julien, Ma, Xixian, Gaspar, Helena, Ikeda, Masashi, Benyamin, Beben, Brown, Brielin C, Liu, Ruize, Zhou, Wei, Guan, Lili, Kamatani, Yoichiro, Kim, Sung-Wan, Kubo, Michiaki, Kusumawardhani, Agung AAA, Liu, Chih-Min, Ma, Hong, Periyasamy, Sathish, Takahashi, Atsushi, Xu, Zhida, Yu, Hao, Zhu, Feng, Chen, Wei J, Faraone, Stephen, Glatt, Stephen J, He, Lin, Hyman, Steven E, Hwu, Hai-Gwo, McCarroll, Steven A, Neale, Benjamin M, Sklar, Pamela, Wildenauer, Dieter B, Yu, Xin, Zhang, Dai, Mowry, Bryan J, Lee, Jimmy, Holmans, Peter, Xu, Shuhua, Sullivan, Patrick F, Ripke, Stephan, O’Donovan, Michael C, Daly, Mark J, Qin, Shengying, Sham, Pak, Iwata, Nakao, Hong, Kyung S, Schwab, Sibylle G, Yue, Weihua, Tsuang, Ming, Liu, Jianjun, Ma, Xiancang, Kahn, René S, Shi, Yongyong, and Huang, Hailiang
- Subjects
Genetics ,Human Genome ,Serious Mental Illness ,Schizophrenia ,Brain Disorders ,Mental Health ,Prevention ,Aetiology ,2.1 Biological and endogenous factors ,Mental health ,Good Health and Well Being ,Asian People ,Case-Control Studies ,Asia ,Eastern ,Genetics ,Population ,Genome-Wide Association Study ,Humans ,Polymorphism ,Single Nucleotide ,White People ,Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Indonesia Schizophrenia Consortium ,Genetic REsearch on schizophreniA neTwork-China and the Netherlands ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Schizophrenia is a debilitating psychiatric disorder with approximately 1% lifetime risk globally. Large-scale schizophrenia genetic studies have reported primarily on European ancestry samples, potentially missing important biological insights. Here, we report the largest study to date of East Asian participants (22,778 schizophrenia cases and 35,362 controls), identifying 21 genome-wide-significant associations in 19 genetic loci. Common genetic variants that confer risk for schizophrenia have highly similar effects between East Asian and European ancestries (genetic correlation = 0.98 ± 0.03), indicating that the genetic basis of schizophrenia and its biology are broadly shared across populations. A fixed-effect meta-analysis including individuals from East Asian and European ancestries identified 208 significant associations in 176 genetic loci (53 novel). Trans-ancestry fine-mapping reduced the sets of candidate causal variants in 44 loci. Polygenic risk scores had reduced performance when transferred across ancestries, highlighting the importance of including sufficient samples of major ancestral groups to ensure their generalizability across populations.
- Published
- 2019
26. Astrocytic cell adhesion genes linked to schizophrenia correlate with synaptic programs in neurons
- Author
-
Pietiläinen, Olli, Trehan, Aditi, Meyer, Daniel, Mitchell, Jana, Tegtmeyer, Matthew, Valakh, Vera, Gebre, Hilena, Chen, Theresa, Vartiainen, Emilia, Farhi, Samouil L., Eggan, Kevin, McCarroll, Steven A., and Nehme, Ralda
- Published
- 2023
- Full Text
- View/download PDF
27. Efficient generation of lower induced motor neurons by coupling Ngn2 expression with developmental cues
- Author
-
Limone, Francesco, Guerra San Juan, Irune, Mitchell, Jana M., Smith, Janell L.M., Raghunathan, Kavya, Meyer, Daniel, Ghosh, Sulagna Dia, Couto, Alexander, Klim, Joseph R., Joseph, Brian J., Gold, John, Mello, Curtis J., Nemesh, James, Smith, Brittany M., Verhage, Matthijs, McCarroll, Steven A., Pietiläinen, Olli, Nehme, Ralda, and Eggan, Kevin
- Published
- 2023
- Full Text
- View/download PDF
28. Key Roles of CACNA1C/Cav1.2 and CALB1/Calbindin in Prefrontal Neurons Altered in Cognitive Disorders
- Author
-
Datta, Dibyadeep, primary, Yang, Shengtao, additional, Joyce, Mary Kate P., additional, Woo, Elizabeth, additional, McCarroll, Steven A., additional, Gonzalez-Burgos, Guillermo, additional, Perone, Isabella, additional, Uchendu, Stacy, additional, Ling, Emi, additional, Goldman, Melissa, additional, Berretta, Sabina, additional, Murray, John, additional, Morozov, Yury, additional, Arellano, Jon, additional, Duque, Alvaro, additional, Rakic, Pasko, additional, O’Dell, Ryan, additional, van Dyck, Christopher H., additional, Lewis, David A., additional, Wang, Min, additional, Krienen, Fenna M., additional, and Arnsten, Amy F. T., additional
- Published
- 2024
- Full Text
- View/download PDF
29. Long somatic DNA-repeat expansion drives neurodegeneration in Huntington disease
- Author
-
Handsaker, Robert E., primary, Kashin, Seva, additional, Reed, Nora M., additional, Tan, Steven, additional, Lee, Won-Seok, additional, McDonald, Tara M., additional, Morris, Kiely, additional, Kamitaki, Nolan, additional, Mullally, Christopher D., additional, Morakabati, Neda, additional, Goldman, Melissa, additional, Lind, Gabriel, additional, Kohli, Rhea, additional, Lawton, Elisabeth, additional, Hogan, Marina, additional, Ichihara, Kiku, additional, Berretta, Sabina, additional, and McCarroll, Steven A., additional
- Published
- 2024
- Full Text
- View/download PDF
30. Modeling interpretable correspondence between cell state and perturbation response with CellCap
- Author
-
Xu, Yang, primary, Fleming, Stephen, additional, Tegtmeyer, Matthew, additional, McCarroll, Steven A., additional, and Babadi, Mehrtash, additional
- Published
- 2024
- Full Text
- View/download PDF
31. Brain single cell transcriptomic profiles in episodic memory phenotypes associated with temporal lobe epilepsy
- Author
-
Busch, Robyn M., Yehia, Lamis, Hu, Bo, Goldman, Melissa, Hermann, Bruce P., Najm, Imad M., McCarroll, Steven A., and Eng, Charis
- Published
- 2022
- Full Text
- View/download PDF
32. The 22q11.2 region regulates presynaptic gene-products linked to schizophrenia
- Author
-
Nehme, Ralda, Pietiläinen, Olli, Artomov, Mykyta, Tegtmeyer, Matthew, Valakh, Vera, Lehtonen, Leevi, Bell, Christina, Singh, Tarjinder, Trehan, Aditi, Sherwood, John, Manning, Danielle, Peirent, Emily, Malik, Rhea, Guss, Ellen J., Hawes, Derek, Beccard, Amanda, Bara, Anne M., Hazelbaker, Dane Z., Zuccaro, Emanuela, Genovese, Giulio, Loboda, Alexander A., Neumann, Anna, Lilliehook, Christina, Kuismin, Outi, Hamalainen, Eija, Kurki, Mitja, Hultman, Christina M., Kähler, Anna K., Paulo, Joao A., Ganna, Andrea, Madison, Jon, Cohen, Bruce, McPhie, Donna, Adolfsson, Rolf, Perlis, Roy, Dolmetsch, Ricardo, Farhi, Samouil, McCarroll, Steven, Hyman, Steven, Neale, Ben, Barrett, Lindy E., Harper, Wade, Palotie, Aarno, Daly, Mark, and Eggan, Kevin
- Published
- 2022
- Full Text
- View/download PDF
33. Ascertaining cells’ synaptic connections and RNA expression simultaneously with barcoded rabies virus libraries
- Author
-
Saunders, Arpiar, Huang, Kee Wui, Vondrak, Cassandra, Hughes, Christina, Smolyar, Karina, Sen, Harsha, Philson, Adrienne C., Nemesh, James, Wysoker, Alec, Kashin, Seva, Sabatini, Bernardo L., and McCarroll, Steven A.
- Published
- 2022
- Full Text
- View/download PDF
34. Chromosomal phase improves aneuploidy detection in non-invasive prenatal testing at low fetal DNA fractions
- Author
-
Genovese, Giulio, Mello, Curtis J., Loh, Po-Ru, Handsaker, Robert E., Kashin, Seva, Whelan, Christopher W., Bayer-Zwirello, Lucy A., and McCarroll, Steven A.
- Published
- 2022
- Full Text
- View/download PDF
35. Mapping genomic loci implicates genes and synaptic biology in schizophrenia
- Author
-
Trubetskoy, Vassily, Pardiñas, Antonio F., Qi, Ting, Panagiotaropoulou, Georgia, Awasthi, Swapnil, Bigdeli, Tim B., Bryois, Julien, Chen, Chia-Yen, Dennison, Charlotte A., Hall, Lynsey S., Lam, Max, Watanabe, Kyoko, Frei, Oleksandr, Ge, Tian, Harwood, Janet C., Koopmans, Frank, Magnusson, Sigurdur, Richards, Alexander L., Sidorenko, Julia, Wu, Yang, Zeng, Jian, Grove, Jakob, Kim, Minsoo, Li, Zhiqiang, Voloudakis, Georgios, Zhang, Wen, Adams, Mark, Agartz, Ingrid, Atkinson, Elizabeth G., Agerbo, Esben, Al Eissa, Mariam, Albus, Margot, Alexander, Madeline, Alizadeh, Behrooz Z., Alptekin, Köksal, Als, Thomas D., Amin, Farooq, Arolt, Volker, Arrojo, Manuel, Athanasiu, Lavinia, Azevedo, Maria Helena, Bacanu, Silviu A., Bass, Nicholas J., Begemann, Martin, Belliveau, Richard A., Bene, Judit, Benyamin, Beben, Bergen, Sarah E., Blasi, Giuseppe, Bobes, Julio, Bonassi, Stefano, Braun, Alice, Bressan, Rodrigo Affonseca, Bromet, Evelyn J., Bruggeman, Richard, Buckley, Peter F., Buckner, Randy L., Bybjerg-Grauholm, Jonas, Cahn, Wiepke, Cairns, Murray J., Calkins, Monica E., Carr, Vaughan J., Castle, David, Catts, Stanley V., Chambert, Kimberley D., Chan, Raymond C. K., Chaumette, Boris, Cheng, Wei, Cheung, Eric F. C., Chong, Siow Ann, Cohen, David, Consoli, Angèle, Cordeiro, Quirino, Costas, Javier, Curtis, Charles, Davidson, Michael, Davis, Kenneth L., de Haan, Lieuwe, Degenhardt, Franziska, DeLisi, Lynn E., Demontis, Ditte, Dickerson, Faith, Dikeos, Dimitris, Dinan, Timothy, Djurovic, Srdjan, Duan, Jubao, Ducci, Giuseppe, Dudbridge, Frank, Eriksson, Johan G., Fañanás, Lourdes, Faraone, Stephen V., Fiorentino, Alessia, Forstner, Andreas, Frank, Josef, Freimer, Nelson B., Fromer, Menachem, Frustaci, Alessandra, Gadelha, Ary, Genovese, Giulio, Gershon, Elliot S., Giannitelli, Marianna, Giegling, Ina, Giusti-Rodríguez, Paola, Godard, Stephanie, Goldstein, Jacqueline I., González Peñas, Javier, González-Pinto, Ana, Gopal, Srihari, Gratten, Jacob, Green, Michael F., Greenwood, Tiffany A., Guillin, Olivier, Gülöksüz, Sinan, Gur, Raquel E., Gur, Ruben C., Gutiérrez, Blanca, Hahn, Eric, Hakonarson, Hakon, Haroutunian, Vahram, Hartmann, Annette M., Harvey, Carol, Hayward, Caroline, Henskens, Frans A., Herms, Stefan, Hoffmann, Per, Howrigan, Daniel P., Ikeda, Masashi, Iyegbe, Conrad, Joa, Inge, Julià, Antonio, Kähler, Anna K., Kam-Thong, Tony, Kamatani, Yoichiro, Karachanak-Yankova, Sena, Kebir, Oussama, Keller, Matthew C., Kelly, Brian J., Khrunin, Andrey, Kim, Sung-Wan, Klovins, Janis, Kondratiev, Nikolay, Konte, Bettina, Kraft, Julia, Kubo, Michiaki, Kučinskas, Vaidutis, Kučinskiene, Zita Ausrele, Kusumawardhani, Agung, Kuzelova-Ptackova, Hana, Landi, Stefano, Lazzeroni, Laura C., Lee, Phil H., Legge, Sophie E., Lehrer, Douglas S., Lencer, Rebecca, Lerer, Bernard, Li, Miaoxin, Lieberman, Jeffrey, Light, Gregory A., Limborska, Svetlana, Liu, Chih-Min, Lönnqvist, Jouko, Loughland, Carmel M., Lubinski, Jan, Luykx, Jurjen J., Lynham, Amy, Macek, Jr, Milan, Mackinnon, Andrew, Magnusson, Patrik K. E., Maher, Brion S., Maier, Wolfgang, Malaspina, Dolores, Mallet, Jacques, Marder, Stephen R., Marsal, Sara, Martin, Alicia R., Martorell, Lourdes, Mattheisen, Manuel, McCarley, Robert W., McDonald, Colm, McGrath, John J., Medeiros, Helena, Meier, Sandra, Melegh, Bela, Melle, Ingrid, Mesholam-Gately, Raquelle I., Metspalu, Andres, Michie, Patricia T., Milani, Lili, Milanova, Vihra, Mitjans, Marina, Molden, Espen, Molina, Esther, Molto, María Dolores, Mondelli, Valeria, Moreno, Carmen, Morley, Christopher P., Muntané, Gerard, Murphy, Kieran C., Myin-Germeys, Inez, Nenadić, Igor, Nestadt, Gerald, Nikitina-Zake, Liene, Noto, Cristiano, Nuechterlein, Keith H., O’Brien, Niamh Louise, O’Neill, F. Anthony, Oh, Sang-Yun, Olincy, Ann, Ota, Vanessa Kiyomi, Pantelis, Christos, Papadimitriou, George N., Parellada, Mara, Paunio, Tiina, Pellegrino, Renata, Periyasamy, Sathish, Perkins, Diana O., Pfuhlmann, Bruno, Pietiläinen, Olli, Pimm, Jonathan, Porteous, David, Powell, John, Quattrone, Diego, Quested, Digby, Radant, Allen D., Rampino, Antonio, Rapaport, Mark H., Rautanen, Anna, Reichenberg, Abraham, Roe, Cheryl, Roffman, Joshua L., Roth, Julian, Rothermundt, Matthias, Rutten, Bart P. F., Saker-Delye, Safaa, Salomaa, Veikko, Sanjuan, Julio, Santoro, Marcos Leite, Savitz, Adam, Schall, Ulrich, Scott, Rodney J., Seidman, Larry J., Sharp, Sally Isabel, Shi, Jianxin, Siever, Larry J., Sigurdsson, Engilbert, Sim, Kang, Skarabis, Nora, Slominsky, Petr, So, Hon-Cheong, Sobell, Janet L., Söderman, Erik, Stain, Helen J., Steen, Nils Eiel, Steixner-Kumar, Agnes A., Stögmann, Elisabeth, Stone, William S., Straub, Richard E., Streit, Fabian, Strengman, Eric, Stroup, T. Scott, Subramaniam, Mythily, Sugar, Catherine A., Suvisaari, Jaana, Svrakic, Dragan M., Swerdlow, Neal R., Szatkiewicz, Jin P., Ta, Thi Minh Tam, Takahashi, Atsushi, Terao, Chikashi, Thibaut, Florence, Toncheva, Draga, Tooney, Paul A., Torretta, Silvia, Tosato, Sarah, Tura, Gian Battista, Turetsky, Bruce I., Üçok, Alp, Vaaler, Arne, van Amelsvoort, Therese, van Winkel, Ruud, Veijola, Juha, Waddington, John, Walter, Henrik, Waterreus, Anna, Webb, Bradley T., Weiser, Mark, Williams, Nigel M., Witt, Stephanie H., Wormley, Brandon K., Wu, Jing Qin, Xu, Zhida, Yolken, Robert, Zai, Clement C., Zhou, Wei, Zhu, Feng, Zimprich, Fritz, Atbaşoğlu, Eşref Cem, Ayub, Muhammad, Benner, Christian, Bertolino, Alessandro, Black, Donald W., Bray, Nicholas J., Breen, Gerome, Buccola, Nancy G., Byerley, William F., Chen, Wei J., Cloninger, C. Robert, Crespo-Facorro, Benedicto, Donohoe, Gary, Freedman, Robert, Galletly, Cherrie, Gandal, Michael J., Gennarelli, Massimo, Hougaard, David M., Hwu, Hai-Gwo, Jablensky, Assen V., McCarroll, Steven A., Moran, Jennifer L., Mors, Ole, Mortensen, Preben B., Müller-Myhsok, Bertram, Neil, Amanda L., Nordentoft, Merete, Pato, Michele T., Petryshen, Tracey L., Pirinen, Matti, Pulver, Ann E., Schulze, Thomas G., Silverman, Jeremy M., Smoller, Jordan W., Stahl, Eli A., Tsuang, Debby W., Vilella, Elisabet, Wang, Shi-Heng, Xu, Shuhua, Adolfsson, Rolf, Arango, Celso, Baune, Bernhard T., Belangero, Sintia Iole, Børglum, Anders D., Braff, David, Bramon, Elvira, Buxbaum, Joseph D., Campion, Dominique, Cervilla, Jorge A., Cichon, Sven, Collier, David A., Corvin, Aiden, Curtis, David, Forti, Marta Di, Domenici, Enrico, Ehrenreich, Hannelore, Escott-Price, Valentina, Esko, Tõnu, Fanous, Ayman H., Gareeva, Anna, Gawlik, Micha, Gejman, Pablo V., Gill, Michael, Glatt, Stephen J., Golimbet, Vera, Hong, Kyung Sue, Hultman, Christina M., Hyman, Steven E., Iwata, Nakao, Jönsson, Erik G., Kahn, René S., Kennedy, James L., Khusnutdinova, Elza, Kirov, George, Knowles, James A., Krebs, Marie-Odile, Laurent-Levinson, Claudine, Lee, Jimmy, Lencz, Todd, Levinson, Douglas F., Li, Qingqin S., Liu, Jianjun, Malhotra, Anil K., Malhotra, Dheeraj, McIntosh, Andrew, McQuillin, Andrew, Menezes, Paulo R., Morgan, Vera A., Morris, Derek W., Mowry, Bryan J., Murray, Robin M., Nimgaonkar, Vishwajit, Nöthen, Markus M., Ophoff, Roel A., Paciga, Sara A., Palotie, Aarno, Pato, Carlos N., Qin, Shengying, Rietschel, Marcella, Riley, Brien P., Rivera, Margarita, Rujescu, Dan, Saka, Meram C., Sanders, Alan R., Schwab, Sibylle G., Serretti, Alessandro, Sham, Pak C., Shi, Yongyong, St Clair, David, Stefánsson, Hreinn, Stefansson, Kari, Tsuang, Ming T., van Os, Jim, Vawter, Marquis P., Weinberger, Daniel R., Werge, Thomas, Wildenauer, Dieter B., Yu, Xin, Yue, Weihua, Holmans, Peter A., Pocklington, Andrew J., Roussos, Panos, Vassos, Evangelos, Verhage, Matthijs, Visscher, Peter M., Yang, Jian, Posthuma, Danielle, Andreassen, Ole A., Kendler, Kenneth S., Owen, Michael J., Wray, Naomi R., Daly, Mark J., Huang, Hailiang, Neale, Benjamin M., Sullivan, Patrick F., Ripke, Stephan, Walters, James T. R., and O’Donovan, Michael C.
- Published
- 2022
- Full Text
- View/download PDF
36. Publisher Correction: Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
- Author
-
Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR
- Subjects
GERAD1 Consortium ,CRESTAR Consortium ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
An amendment to this paper has been published and can be accessed via a link at the top of the paper.
- Published
- 2019
37. Contribution of Rare Copy Number Variants to Bipolar Disorder Risk Is Limited to Schizoaffective Cases
- Author
-
Charney, Alexander W, Stahl, Eli A, Green, Elaine K, Chen, Chia-Yen, Moran, Jennifer L, Chambert, Kimberly, Belliveau, Richard A, Forty, Liz, Gordon-Smith, Katherine, Lee, Phil H, Bromet, Evelyn J, Buckley, Peter F, Escamilla, Michael A, Fanous, Ayman H, Fochtmann, Laura J, Lehrer, Douglas S, Malaspina, Dolores, Marder, Stephen R, Morley, Christopher P, Nicolini, Humberto, Perkins, Diana O, Rakofsky, Jeffrey J, Rapaport, Mark H, Medeiros, Helena, Sobell, Janet L, Backlund, Lena, Bergen, Sarah E, Juréus, Anders, Schalling, Martin, Lichtenstein, Paul, Knowles, James A, Burdick, Katherine E, Jones, Ian, Jones, Lisa A, Hultman, Christina M, Perlis, Roy, Purcell, Shaun M, McCarroll, Steven A, Pato, Carlos N, Pato, Michele T, Di Florio, Ariana, Craddock, Nick, Landén, Mikael, Smoller, Jordan W, Ruderfer, Douglas M, and Sklar, Pamela
- Subjects
Pharmacology and Pharmaceutical Sciences ,Biomedical and Clinical Sciences ,Genetics ,Serious Mental Illness ,Bipolar Disorder ,Mental Health ,Prevention ,Brain Disorders ,Schizophrenia ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Good Health and Well Being ,Case-Control Studies ,Cohort Studies ,DNA Copy Number Variations ,Gene Duplication ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Multifactorial Inheritance ,Psychotic Disorders ,Bipolar disorder ,Copy number variant ,Polygenic risk score ,Rare variant burden ,Biological Sciences ,Medical and Health Sciences ,Psychology and Cognitive Sciences ,Psychiatry ,Biological sciences ,Biomedical and clinical sciences ,Psychology - Abstract
BackgroundGenetic risk for bipolar disorder (BD) is conferred through many common alleles, while a role for rare copy number variants (CNVs) is less clear. Subtypes of BD including schizoaffective disorder bipolar type (SAB), bipolar I disorder (BD I), and bipolar II disorder (BD II) differ according to the prominence and timing of psychosis, mania, and depression. The genetic factors contributing to the combination of symptoms among these subtypes are poorly understood.MethodsRare large CNVs were analyzed in 6353 BD cases (3833 BD I [2676 with psychosis, 850 without psychosis, and 307 with unknown psychosis history], 1436 BD II, 579 SAB, and 505 BD not otherwise specified) and 8656 controls. CNV burden and a polygenic risk score (PRS) for schizophrenia were used to evaluate the relative contributions of rare and common variants to risk of BD, BD subtypes, and psychosis.ResultsCNV burden did not differ between BD and controls when treated as a single diagnostic entity. However, burden in SAB was increased relative to controls (p = .001), BD I (p = .0003), and BD II (p = .0007). Burden and schizophrenia PRSs were increased in SAB compared with BD I with psychosis (CNV p = .0007, PRS p = .004), and BD I without psychosis (CNV p = .0004, PRS p = 3.9 × 10-5). Within BD I, psychosis was associated with increased schizophrenia PRSs (p = .005) but not CNV burden.ConclusionsCNV burden in BD is limited to SAB. Rare and common genetic variants may contribute differently to risk for psychosis and perhaps other classes of psychiatric symptoms.
- Published
- 2019
38. Multi-platform discovery of haplotype-resolved structural variation in human genomes.
- Author
-
Chaisson, Mark JP, Sanders, Ashley D, Zhao, Xuefang, Malhotra, Ankit, Porubsky, David, Rausch, Tobias, Gardner, Eugene J, Rodriguez, Oscar L, Guo, Li, Collins, Ryan L, Fan, Xian, Wen, Jia, Handsaker, Robert E, Fairley, Susan, Kronenberg, Zev N, Kong, Xiangmeng, Hormozdiari, Fereydoun, Lee, Dillon, Wenger, Aaron M, Hastie, Alex R, Antaki, Danny, Anantharaman, Thomas, Audano, Peter A, Brand, Harrison, Cantsilieris, Stuart, Cao, Han, Cerveira, Eliza, Chen, Chong, Chen, Xintong, Chin, Chen-Shan, Chong, Zechen, Chuang, Nelson T, Lambert, Christine C, Church, Deanna M, Clarke, Laura, Farrell, Andrew, Flores, Joey, Galeev, Timur, Gorkin, David U, Gujral, Madhusudan, Guryev, Victor, Heaton, William Haynes, Korlach, Jonas, Kumar, Sushant, Kwon, Jee Young, Lam, Ernest T, Lee, Jong Eun, Lee, Joyce, Lee, Wan-Ping, Lee, Sau Peng, Li, Shantao, Marks, Patrick, Viaud-Martinez, Karine, Meiers, Sascha, Munson, Katherine M, Navarro, Fabio CP, Nelson, Bradley J, Nodzak, Conor, Noor, Amina, Kyriazopoulou-Panagiotopoulou, Sofia, Pang, Andy WC, Qiu, Yunjiang, Rosanio, Gabriel, Ryan, Mallory, Stütz, Adrian, Spierings, Diana CJ, Ward, Alistair, Welch, AnneMarie E, Xiao, Ming, Xu, Wei, Zhang, Chengsheng, Zhu, Qihui, Zheng-Bradley, Xiangqun, Lowy, Ernesto, Yakneen, Sergei, McCarroll, Steven, Jun, Goo, Ding, Li, Koh, Chong Lek, Ren, Bing, Flicek, Paul, Chen, Ken, Gerstein, Mark B, Kwok, Pui-Yan, Lansdorp, Peter M, Marth, Gabor T, Sebat, Jonathan, Shi, Xinghua, Bashir, Ali, Ye, Kai, Devine, Scott E, Talkowski, Michael E, Mills, Ryan E, Marschall, Tobias, Korbel, Jan O, Eichler, Evan E, and Lee, Charles
- Subjects
Humans ,Chromosome Mapping ,Genomics ,Haplotypes ,Genome ,Human ,Algorithms ,Databases ,Genetic ,INDEL Mutation ,Genomic Structural Variation ,High-Throughput Nucleotide Sequencing ,Whole Genome Sequencing ,Genome ,Human ,Databases ,Genetic - Abstract
The incomplete identification of structural variants (SVs) from whole-genome sequencing data limits studies of human genetic diversity and disease association. Here, we apply a suite of long-read, short-read, strand-specific sequencing technologies, optical mapping, and variant discovery algorithms to comprehensively analyze three trios to define the full spectrum of human genetic variation in a haplotype-resolved manner. We identify 818,054 indel variants (
- Published
- 2019
39. Single cell analysis of DNA in more than 10,000 individual sperm from men with abnormal reproductive outcomes
- Author
-
Leung, Angela Q., Bell, Avery Davis, Mello, Curtis J., Penzias, Alan S., McCarroll, Steven A., and Sakkas, Denny
- Published
- 2021
- Full Text
- View/download PDF
40. Prognostic value of polygenic risk scores for adults with psychosis
- Author
-
Landi, Isotta, Kaji, Deepak A., Cotter, Liam, Van Vleck, Tielman, Belbin, Gillian, Preuss, Michael, Loos, Ruth J. F., Kenny, Eimear, Glicksberg, Benjamin S., Beckmann, Noam D., O’Reilly, Paul, Schadt, Eric E., Achtyes, Eric D., Buckley, Peter F., Lehrer, Douglas, Malaspina, Dolores P., McCarroll, Steven A., Rapaport, Mark H., Fanous, Ayman H., Pato, Michele T., Pato, Carlos N., Bigdeli, Tim B., Nadkarni, Girish N., and Charney, Alexander W.
- Published
- 2021
- Full Text
- View/download PDF
41. Publisher Correction: Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.
- Author
-
Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
- Subjects
NHLBI TOPMed Lipids Working Group - Abstract
The original version of this article contained an error in the name of the author Ramachandran S. Vasan, which was incorrectly given as Vasan S. Ramachandran. This has now been corrected in both the PDF and HTML versions of the article.
- Published
- 2018
42. Deep coverage whole genome sequences and plasma lipoprotein(a) in individuals of European and African ancestries.
- Author
-
Zekavat, Seyedeh M, Ruotsalainen, Sanni, Handsaker, Robert E, Alver, Maris, Bloom, Jonathan, Poterba, Timothy, Seed, Cotton, Ernst, Jason, Chaffin, Mark, Engreitz, Jesse, Peloso, Gina M, Manichaikul, Ani, Yang, Chaojie, Ryan, Kathleen A, Fu, Mao, Johnson, W Craig, Tsai, Michael, Budoff, Matthew, Vasan, Ramachandran S, Cupples, L Adrienne, Rotter, Jerome I, Rich, Stephen S, Post, Wendy, Mitchell, Braxton D, Correa, Adolfo, Metspalu, Andres, Wilson, James G, Salomaa, Veikko, Kellis, Manolis, Daly, Mark J, Neale, Benjamin M, McCarroll, Steven, Surakka, Ida, Esko, Tonu, Ganna, Andrea, Ripatti, Samuli, Kathiresan, Sekar, Natarajan, Pradeep, and NHLBI TOPMed Lipids Working Group
- Subjects
NHLBI TOPMed Lipids Working Group ,Humans ,Cardiovascular Diseases ,Lipoprotein(a) ,Adaptor Proteins ,Vesicular Transport ,Risk Factors ,Gene Expression ,Polymorphism ,Single Nucleotide ,Quantitative Trait Loci ,Genome ,Human ,African Continental Ancestry Group ,European Continental Ancestry Group ,Cholesterol ,LDL ,Genome-Wide Association Study ,DNA Copy Number Variations ,Whole Genome Sequencing ,Atherosclerosis ,Genetics ,Cardiovascular ,Prevention ,Human Genome ,Heart Disease ,2.1 Biological and endogenous factors - Abstract
Lipoprotein(a), Lp(a), is a modified low-density lipoprotein particle that contains apolipoprotein(a), encoded by LPA, and is a highly heritable, causal risk factor for cardiovascular diseases that varies in concentrations across ancestries. Here, we use deep-coverage whole genome sequencing in 8392 individuals of European and African ancestry to discover and interpret both single-nucleotide variants and copy number (CN) variation associated with Lp(a). We observe that genetic determinants between Europeans and Africans have several unique determinants. The common variant rs12740374 associated with Lp(a) cholesterol is an eQTL for SORT1 and independent of LDL cholesterol. Observed associations of aggregates of rare non-coding variants are largely explained by LPA structural variation, namely the LPA kringle IV 2 (KIV2)-CN. Finally, we find that LPA risk genotypes confer greater relative risk for incident atherosclerotic cardiovascular diseases compared to directly measured Lp(a), and are significantly associated with measures of subclinical atherosclerosis in African Americans.
- Published
- 2018
43. Publisher Correction: Whole genome sequencing in psychiatric disorders: the WGSPD consortium.
- Author
-
Sanders, Stephan J, Neale, Benjamin M, Huang, Hailiang, Werling, Donna M, An, Joon-Yong, Dong, Shan, Abecasis, Goncalo, Arguello, P Alexander, Blangero, John, Boehnke, Michael, Daly, Mark J, Eggan, Kevin, Geschwind, Daniel H, Glahn, David C, Goldstein, David B, Gur, Raquel E, Handsaker, Robert E, McCarroll, Steven A, Ophoff, Roel A, Palotie, Aarno, Pato, Carlos N, Sabatti, Chiara, State, Matthew W, Willsey, A Jeremy, Hyman, Steven E, Addington, Anjene M, Lehner, Thomas, Freimer, Nelson B, and Whole Genome Sequencing for Psychiatric Disorders (WGSPD)
- Subjects
Whole Genome Sequencing for Psychiatric Disorders ,Mental Health ,Neurosciences ,Psychology ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
In the version of this article initially published, the consortium authorship and corresponding authors were not presented correctly. In the PDF and print versions, the Whole Genome Sequencing for Psychiatric Disorders (WGSPD) consortium was missing from the author list at the beginning of the paper, where it should have appeared as the seventh author; it was present in the author list at the end of the paper, but the footnote directing readers to the Supplementary Note for a list of members was missing. In the HTML version, the consortium was listed as the last author instead of as the seventh, and the line directing readers to the Supplementary Note for a list of members appeared at the end of the paper under Author Information but not in association with the consortium name itself. Also, this line stated that both member names and affiliations could be found in the Supplementary Note; in fact, only names are given. In all versions of the paper, the corresponding author symbols were attached to A. Jeremy Willsey, Steven E. Hyman, Anjene M. Addington and Thomas Lehner; they should have been attached, respectively, to Steven E. Hyman, Anjene M. Addington, Thomas Lehner and Nelson B. Freimer. As a result of this shift, the respective contact links in the HTML version did not lead to the indicated individuals. The errors have been corrected in the HTML and PDF versions of the article.
- Published
- 2018
44. A whole-genome sequence study identifies genetic risk factors for neuromyelitis optica.
- Author
-
Estrada, Karol, Whelan, Christopher W, Zhao, Fengmei, Bronson, Paola, Handsaker, Robert E, Sun, Chao, Carulli, John P, Harris, Tim, Ransohoff, Richard M, McCarroll, Steven A, Day-Williams, Aaron G, Greenberg, Benjamin M, and MacArthur, Daniel G
- Subjects
Humans ,Neuromyelitis Optica ,Genetic Predisposition to Disease ,Immunoglobulin G ,Risk Factors ,Major Histocompatibility Complex ,Haplotypes ,Polymorphism ,Single Nucleotide ,Adult ,Middle Aged ,Female ,Male ,Aquaporin 4 ,DNA Copy Number Variations ,Whole Genome Sequencing ,Polymorphism ,Single Nucleotide - Abstract
Neuromyelitis optica (NMO) is a rare autoimmune disease that affects the optic nerve and spinal cord. Most NMO patients ( > 70%) are seropositive for circulating autoantibodies against aquaporin 4 (NMO-IgG+). Here, we meta-analyze whole-genome sequences from 86 NMO cases and 460 controls with genome-wide SNP array from 129 NMO cases and 784 controls to test for association with SNPs and copy number variation (total N = 215 NMO cases, 1244 controls). We identify two independent signals in the major histocompatibility complex (MHC) region associated with NMO-IgG+, one of which may be explained by structural variation in the complement component 4 genes. Mendelian Randomization analysis reveals a significant causal effect of known systemic lupus erythematosus (SLE), but not multiple sclerosis (MS), risk variants in NMO-IgG+. Our results suggest that genetic variants in the MHC region contribute to the etiology of NMO-IgG+ and that NMO-IgG+ is genetically more similar to SLE than MS.
- Published
- 2018
45. An analytical framework for whole-genome sequence association studies and its implications for autism spectrum disorder
- Author
-
Werling, Donna M, Brand, Harrison, An, Joon-Yong, Stone, Matthew R, Zhu, Lingxue, Glessner, Joseph T, Collins, Ryan L, Dong, Shan, Layer, Ryan M, Markenscoff-Papadimitriou, Eirene, Farrell, Andrew, Schwartz, Grace B, Wang, Harold Z, Currall, Benjamin B, Zhao, Xuefang, Dea, Jeanselle, Duhn, Clif, Erdman, Carolyn A, Gilson, Michael C, Yadav, Rachita, Handsaker, Robert E, Kashin, Seva, Klei, Lambertus, Mandell, Jeffrey D, Nowakowski, Tomasz J, Liu, Yuwen, Pochareddy, Sirisha, Smith, Louw, Walker, Michael F, Waterman, Matthew J, He, Xin, Kriegstein, Arnold R, Rubenstein, John L, Sestan, Nenad, McCarroll, Steven A, Neale, Benjamin M, Coon, Hilary, Willsey, A Jeremy, Buxbaum, Joseph D, Daly, Mark J, State, Matthew W, Quinlan, Aaron R, Marth, Gabor T, Roeder, Kathryn, Devlin, Bernie, Talkowski, Michael E, and Sanders, Stephan J
- Subjects
Biological Sciences ,Genetics ,Intellectual and Developmental Disabilities (IDD) ,Brain Disorders ,Pediatric ,Autism ,Biotechnology ,Mental Health ,Human Genome ,2.1 Biological and endogenous factors ,Aetiology ,Autism Spectrum Disorder ,Female ,Genetic Predisposition to Disease ,Genome ,Genome-Wide Association Study ,Humans ,INDEL Mutation ,Male ,Polymorphism ,Single Nucleotide ,Protein Isoforms ,Medical and Health Sciences ,Developmental Biology ,Agricultural biotechnology ,Bioinformatics and computational biology - Abstract
Genomic association studies of common or rare protein-coding variation have established robust statistical approaches to account for multiple testing. Here we present a comparable framework to evaluate rare and de novo noncoding single-nucleotide variants, insertion/deletions, and all classes of structural variation from whole-genome sequencing (WGS). Integrating genomic annotations at the level of nucleotides, genes, and regulatory regions, we define 51,801 annotation categories. Analyses of 519 autism spectrum disorder families did not identify association with any categories after correction for 4,123 effective tests. Without appropriate correction, biologically plausible associations are observed in both cases and controls. Despite excluding previously identified gene-disrupting mutations, coding regions still exhibited the strongest associations. Thus, in autism, the contribution of de novo noncoding variation is probably modest in comparison to that of de novo coding variants. Robust results from future WGS studies will require large cohorts and comprehensive analytical strategies that consider the substantial multiple-testing burden.
- Published
- 2018
46. Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights.
- Author
-
Gusev, Alexander, Mancuso, Nicholas, Won, Hyejung, Kousi, Maria, Finucane, Hilary K, Reshef, Yakir, Song, Lingyun, Safi, Alexias, Schizophrenia Working Group of the Psychiatric Genomics Consortium, McCarroll, Steven, Neale, Benjamin M, Ophoff, Roel A, O'Donovan, Michael C, Crawford, Gregory E, Geschwind, Daniel H, Katsanis, Nicholas, Sullivan, Patrick F, Pasaniuc, Bogdan, and Price, Alkes L
- Subjects
Schizophrenia Working Group of the Psychiatric Genomics Consortium ,Brain ,Chromatin ,Animals ,Zebrafish ,Humans ,Genetic Predisposition to Disease ,Mitogen-Activated Protein Kinase 3 ,Microtubule-Associated Proteins ,Zebrafish Proteins ,Gene Expression Profiling ,Schizophrenia ,Gene Dosage ,Multifactorial Inheritance ,Quantitative Trait Loci ,Protein Phosphatase 2 ,Genome-Wide Association Study ,Human Genome ,Genetics ,Mental Health ,Neurosciences ,Brain Disorders ,Serious Mental Illness ,2.1 Biological and endogenous factors ,Mental health ,Developmental Biology ,Biological Sciences ,Medical and Health Sciences - Abstract
Genome-wide association studies (GWAS) have identified over 100 risk loci for schizophrenia, but the causal mechanisms remain largely unknown. We performed a transcriptome-wide association study (TWAS) integrating a schizophrenia GWAS of 79,845 individuals from the Psychiatric Genomics Consortium with expression data from brain, blood, and adipose tissues across 3,693 primarily control individuals. We identified 157 TWAS-significant genes, of which 35 did not overlap a known GWAS locus. Of these 157 genes, 42 were associated with specific chromatin features measured in independent samples, thus highlighting potential regulatory targets for follow-up. Suppression of one identified susceptibility gene, mapk3, in zebrafish showed a significant effect on neurodevelopmental phenotypes. Expression and splicing from the brain captured most of the TWAS effect across all genes. This large-scale connection of associations to target genes, tissues, and regulatory features is an essential step in moving toward a mechanistic understanding of GWAS.
- Published
- 2018
47. Common schizophrenia alleles are enriched in mutation-intolerant genes and in regions under strong background selection
- Author
-
Pardiñas, Antonio F, Holmans, Peter, Pocklington, Andrew J, Escott-Price, Valentina, Ripke, Stephan, Carrera, Noa, Legge, Sophie E, Bishop, Sophie, Cameron, Darren, Hamshere, Marian L, Han, Jun, Hubbard, Leon, Lynham, Amy, Mantripragada, Kiran, Rees, Elliott, MacCabe, James H, McCarroll, Steven A, Baune, Bernhard T, Breen, Gerome, Byrne, Enda M, Dannlowski, Udo, Eley, Thalia C, Hayward, Caroline, Martin, Nicholas G, McIntosh, Andrew M, Plomin, Robert, Porteous, David J, Wray, Naomi R, Caballero, Armando, Geschwind, Daniel H, Huckins, Laura M, Ruderfer, Douglas M, Santiago, Enrique, Sklar, Pamela, Stahl, Eli A, Won, Hyejung, Agerbo, Esben, Als, Thomas D, Andreassen, Ole A, Bækvad-Hansen, Marie, Mortensen, Preben Bo, Pedersen, Carsten Bøcker, Børglum, Anders D, Bybjerg-Grauholm, Jonas, Djurovic, Srdjan, Durmishi, Naser, Pedersen, Marianne Giørtz, Golimbet, Vera, Grove, Jakob, Hougaard, David M, Mattheisen, Manuel, Molden, Espen, Mors, Ole, Nordentoft, Merete, Pejovic-Milovancevic, Milica, Sigurdsson, Engilbert, Silagadze, Teimuraz, Hansen, Christine Søholm, Stefansson, Kari, Stefansson, Hreinn, Steinberg, Stacy, Tosato, Sarah, Werge, Thomas, GERAD1 Consortium, CRESTAR Consortium, Collier, David A, Rujescu, Dan, Kirov, George, Owen, Michael J, O’Donovan, Michael C, and Walters, James TR
- Subjects
Serious Mental Illness ,Brain Disorders ,Human Genome ,Genetics ,Mental Health ,Biotechnology ,Schizophrenia ,2.1 Biological and endogenous factors ,Aetiology ,Mental health ,Good Health and Well Being ,Alleles ,Case-Control Studies ,Gene Frequency ,Genes ,Lethal ,Genetic Loci ,Genetic Predisposition to Disease ,Genome-Wide Association Study ,Humans ,Inheritance Patterns ,Polymorphism ,Single Nucleotide ,Selection ,Genetic ,GERAD1 Consortium ,CRESTAR Consortium ,Biological Sciences ,Medical and Health Sciences ,Developmental Biology - Abstract
Schizophrenia is a debilitating psychiatric condition often associated with poor quality of life and decreased life expectancy. Lack of progress in improving treatment outcomes has been attributed to limited knowledge of the underlying biology, although large-scale genomic studies have begun to provide insights. We report a new genome-wide association study of schizophrenia (11,260 cases and 24,542 controls), and through meta-analysis with existing data we identify 50 novel associated loci and 145 loci in total. Through integrating genomic fine-mapping with brain expression and chromosome conformation data, we identify candidate causal genes within 33 loci. We also show for the first time that the common variant association signal is highly enriched among genes that are under strong selective pressures. These findings provide new insights into the biology and genetic architecture of schizophrenia, highlight the importance of mutation-intolerant genes and suggest a mechanism by which common risk variants persist in the population.
- Published
- 2018
48. Whole genome sequencing in psychiatric disorders: the WGSPD consortium.
- Author
-
Sanders, Stephan J, Neale, Benjamin M, Huang, Hailiang, Werling, Donna M, An, Joon-Yong, Dong, Shan, Whole Genome Sequencing for Psychiatric Disorders (WGSPD), Abecasis, Goncalo, Arguello, P Alexander, Blangero, John, Boehnke, Michael, Daly, Mark J, Eggan, Kevin, Geschwind, Daniel H, Glahn, David C, Goldstein, David B, Gur, Raquel E, Handsaker, Robert E, McCarroll, Steven A, Ophoff, Roel A, Palotie, Aarno, Pato, Carlos N, Sabatti, Chiara, State, Matthew W, Willsey, A Jeremy, Hyman, Steven E, Addington, Anjene M, Lehner, Thomas, and Freimer, Nelson B
- Subjects
Whole Genome Sequencing for Psychiatric Disorders ,Humans ,Mental Disorders ,Biological Psychiatry ,Genome ,Human ,Genetic Variation ,Whole Genome Sequencing ,Genetics ,Human Genome ,Autism ,Serious Mental Illness ,Schizophrenia ,Intellectual and Developmental Disabilities (IDD) ,Brain Disorders ,Mental Health ,Biotechnology ,2.1 Biological and endogenous factors ,1.1 Normal biological development and functioning ,Aetiology ,Underpinning research ,Detection ,screening and diagnosis ,4.2 Evaluation of markers and technologies ,Mental health ,Neurosciences ,Psychology ,Cognitive Sciences ,Neurology & Neurosurgery - Abstract
As technology advances, whole genome sequencing (WGS) is likely to supersede other genotyping technologies. The rate of this change depends on its relative cost and utility. Variants identified uniquely through WGS may reveal novel biological pathways underlying complex disorders and provide high-resolution insight into when, where, and in which cell type these pathways are affected. Alternatively, cheaper and less computationally intensive approaches may yield equivalent insights. Understanding the role of rare variants in the noncoding gene-regulating genome, through pilot WGS projects, will be critical to determine which of these two extremes best represents reality. With large cohorts, well-defined risk loci, and a compelling need to understand the underlying biology, psychiatric disorders have a role to play in this preliminary WGS assessment. The WGSPD consortium will integrate data for 18,000 individuals with psychiatric disorders, beginning with autism spectrum disorder, schizophrenia, bipolar disorder, and major depressive disorder, along with over 150,000 controls.
- Published
- 2017
49. Adaptive combination of Bayes factors as a powerful method for the joint analysis of rare and common variants.
- Author
-
Lin, Wan-Yu, Chen, Wei J, Liu, Chih-Min, Hwu, Hai-Gwo, McCarroll, Steven A, Glatt, Stephen J, and Tsuang, Ming T
- Subjects
Humans ,Genetic Markers ,Bayes Theorem ,Computational Biology ,Genomics ,Models ,Genetic ,Genetic Variation ,Models ,Genetic - Abstract
Multi-marker association tests can be more powerful than single-locus analyses because they aggregate the variant information within a gene/region. However, combining the association signals of multiple markers within a gene/region may cause noise due to the inclusion of neutral variants, which usually compromises the power of a test. To reduce noise, the "adaptive combination of P-values" (ADA) method removes variants with larger P-values. However, when both rare and common variants are considered, it is not optimal to truncate variants according to their P-values. An alternative summary measure, the Bayes factor (BF), is defined as the ratio of the probability of the data under the alternative hypothesis to that under the null hypothesis. The BF quantifies the "relative" evidence supporting the alternative hypothesis. Here, we propose an "adaptive combination of Bayes factors" (ADABF) method that can be directly applied to variants with a wide spectrum of minor allele frequencies. The simulations show that ADABF is more powerful than single-nucleotide polymorphism (SNP)-set kernel association tests and burden tests. We also analyzed 1,109 case-parent trios from the Schizophrenia Trio Genomic Research in Taiwan. Three genes on chromosome 19p13.2 were found to be associated with schizophrenia at the suggestive significance level of 5 × 10-5.
- Published
- 2017
50. BCFtools/liftover: an accurate and comprehensive tool to convert genetic variants across genome assemblies
- Author
-
Genovese, Giulio, primary, Rockweiler, Nicole B, additional, Gorman, Bryan R, additional, Bigdeli, Tim B, additional, Pato, Michelle T, additional, Pato, Carlos N, additional, Ichihara, Kiku, additional, and McCarroll, Steven A, additional
- Published
- 2024
- Full Text
- View/download PDF
Catalog
Discovery Service for Jio Institute Digital Library
For full access to our library's resources, please sign in.