ALBERT

Description: Motivation : Modelling methods that find structure in data are necessary with the current large volumes of genomic data, and there have been various efforts to find subsets of genes exhibiting consistent patterns over subsets of treatments. These biclustering techniques have focused on one data source, often gene expression data. We present a Bayesian approach for joint biclustering of multiple data sources, extending a recent method Group Factor Analysis to have a biclustering interpretation with additional sparsity assumptions. The resulting method enables data-driven detection of linear structure present in parts of the data sources. Results : Our simulation studies show that the proposed method reliably infers biclusters from heterogeneous data sources. We tested the method on data from the NCI-DREAM drug sensitivity prediction challenge, resulting in an excellent prediction accuracy. Moreover, the predictions are based on several biclusters which provide insight into the data sources, in this case on gene expression, DNA methylation, protein abundance, exome sequence, functional connectivity fingerprints and drug sensitivity. Availability and Implementation : http://research.cs.aalto.fi/pml/software/GFAsparse/ Contacts : kerstin.bunte@googlemail.com or samuel.kaski@aalto.fi

Description: Nucleation of aerosol particles from trace atmospheric vapours is thought to provide up to half of global cloud condensation nuclei. Aerosols can cause a net cooling of climate by scattering sunlight and by leading to smaller but more numerous cloud droplets, which makes clouds brighter and extends their lifetimes. Atmospheric aerosols derived from human activities are thought to have compensated for a large fraction of the warming caused by greenhouse gases. However, despite its importance for climate, atmospheric nucleation is poorly understood. Recently, it has been shown that sulphuric acid and ammonia cannot explain particle formation rates observed in the lower atmosphere. It is thought that amines may enhance nucleation, but until now there has been no direct evidence for amine ternary nucleation under atmospheric conditions. Here we use the CLOUD (Cosmics Leaving OUtdoor Droplets) chamber at CERN and find that dimethylamine above three parts per trillion by volume can enhance particle formation rates more than 1,000-fold compared with ammonia, sufficient to account for the particle formation rates observed in the atmosphere. Molecular analysis of the clusters reveals that the faster nucleation is explained by a base-stabilization mechanism involving acid-amine pairs, which strongly decrease evaporation. The ion-induced contribution is generally small, reflecting the high stability of sulphuric acid-dimethylamine clusters and indicating that galactic cosmic rays exert only a small influence on their formation, except at low overall formation rates. Our experimental measurements are well reproduced by a dynamical model based on quantum chemical calculations of binding energies of molecular clusters, without any fitted parameters. These results show that, in regions of the atmosphere near amine sources, both amines and sulphur dioxide should be considered when assessing the impact of anthropogenic activities on particle formation.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Almeida, Joao -- Schobesberger, Siegfried -- Kurten, Andreas -- Ortega, Ismael K -- Kupiainen-Maatta, Oona -- Praplan, Arnaud P -- Adamov, Alexey -- Amorim, Antonio -- Bianchi, Federico -- Breitenlechner, Martin -- David, Andre -- Dommen, Josef -- Donahue, Neil M -- Downard, Andrew -- Dunne, Eimear -- Duplissy, Jonathan -- Ehrhart, Sebastian -- Flagan, Richard C -- Franchin, Alessandro -- Guida, Roberto -- Hakala, Jani -- Hansel, Armin -- Heinritzi, Martin -- Henschel, Henning -- Jokinen, Tuija -- Junninen, Heikki -- Kajos, Maija -- Kangasluoma, Juha -- Keskinen, Helmi -- Kupc, Agnieszka -- Kurten, Theo -- Kvashin, Alexander N -- Laaksonen, Ari -- Lehtipalo, Katrianne -- Leiminger, Markus -- Leppa, Johannes -- Loukonen, Ville -- Makhmutov, Vladimir -- Mathot, Serge -- McGrath, Matthew J -- Nieminen, Tuomo -- Olenius, Tinja -- Onnela, Antti -- Petaja, Tuukka -- Riccobono, Francesco -- Riipinen, Ilona -- Rissanen, Matti -- Rondo, Linda -- Ruuskanen, Taina -- Santos, Filipe D -- Sarnela, Nina -- Schallhart, Simon -- Schnitzhofer, Ralf -- Seinfeld, John H -- Simon, Mario -- Sipila, Mikko -- Stozhkov, Yuri -- Stratmann, Frank -- Tome, Antonio -- Trostl, Jasmin -- Tsagkogeorgas, Georgios -- Vaattovaara, Petri -- Viisanen, Yrjo -- Virtanen, Annele -- Vrtala, Aron -- Wagner, Paul E -- Weingartner, Ernest -- Wex, Heike -- Williamson, Christina -- Wimmer, Daniela -- Ye, Penglin -- Yli-Juuti, Taina -- Carslaw, Kenneth S -- Kulmala, Markku -- Curtius, Joachim -- Baltensperger, Urs -- Worsnop, Douglas R -- Vehkamaki, Hanna -- Kirkby, Jasper -- England -- Nature. 2013 Oct 17;502(7471):359-63. doi: 10.1038/nature12663. Epub 2013 Oct 6.〈br /〉〈span class="detail_caption"〉Author address: 〈/span〉Goethe-University of Frankfurt, Institute for Atmospheric and Environmental Sciences, 60438 Frankfurt am Main, Germany.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/24097350" target="_blank"〉PubMed〈/a〉

Description: Multiple sclerosis is a common disease of the central nervous system in which the interplay between inflammatory and neurodegenerative processes typically results in intermittent neurological disturbance followed by progressive accumulation of disability. Epidemiological studies have shown that genetic factors are primarily responsible for the substantially increased frequency of the disease seen in the relatives of affected individuals, and systematic attempts to identify linkage in multiplex families have confirmed that variation within the major histocompatibility complex (MHC) exerts the greatest individual effect on risk. Modestly powered genome-wide association studies (GWAS) have enabled more than 20 additional risk loci to be identified and have shown that multiple variants exerting modest individual effects have a key role in disease susceptibility. Most of the genetic architecture underlying susceptibility to the disease remains to be defined and is anticipated to require the analysis of sample sizes that are beyond the numbers currently available to individual research groups. In a collaborative GWAS involving 9,772 cases of European descent collected by 23 research groups working in 15 different countries, we have replicated almost all of the previously suggested associations and identified at least a further 29 novel susceptibility loci. Within the MHC we have refined the identity of the HLA-DRB1 risk alleles and confirmed that variation in the HLA-A gene underlies the independent protective effect attributable to the class I region. Immunologically relevant genes are significantly overrepresented among those mapping close to the identified loci and particularly implicate T-helper-cell differentiation in the pathogenesis of multiple sclerosis.〈br /〉〈br /〉〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182531/" target="_blank"〉〈img src="https://static.pubmed.gov/portal/portal3rc.fcgi/4089621/img/3977009" border="0"〉〈/a〉   〈a href="https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3182531/" target="_blank"〉This paper as free author manuscript - peer-reviewed and accepted for publication〈/a〉〈br /〉〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉International Multiple Sclerosis Genetics Consortium -- Wellcome Trust Case Control Consortium 2 -- Sawcer, Stephen -- Hellenthal, Garrett -- Pirinen, Matti -- Spencer, Chris C A -- Patsopoulos, Nikolaos A -- Moutsianas, Loukas -- Dilthey, Alexander -- Su, Zhan -- Freeman, Colin -- Hunt, Sarah E -- Edkins, Sarah -- Gray, Emma -- Booth, David R -- Potter, Simon C -- Goris, An -- Band, Gavin -- Oturai, Annette Bang -- Strange, Amy -- Saarela, Janna -- Bellenguez, Celine -- Fontaine, Bertrand -- Gillman, Matthew -- Hemmer, Bernhard -- Gwilliam, Rhian -- Zipp, Frauke -- Jayakumar, Alagurevathi -- Martin, Roland -- Leslie, Stephen -- Hawkins, Stanley -- Giannoulatou, Eleni -- D'alfonso, Sandra -- Blackburn, Hannah -- Martinelli Boneschi, Filippo -- Liddle, Jennifer -- Harbo, Hanne F -- Perez, Marc L -- Spurkland, Anne -- Waller, Matthew J -- Mycko, Marcin P -- Ricketts, Michelle -- Comabella, Manuel -- Hammond, Naomi -- Kockum, Ingrid -- McCann, Owen T -- Ban, Maria -- Whittaker, Pamela -- Kemppinen, Anu -- Weston, Paul -- Hawkins, Clive -- Widaa, Sara -- Zajicek, John -- Dronov, Serge -- Robertson, Neil -- Bumpstead, Suzannah J -- Barcellos, Lisa F -- Ravindrarajah, Rathi -- Abraham, Roby -- Alfredsson, Lars -- Ardlie, Kristin -- Aubin, Cristin -- Baker, Amie -- Baker, Katharine -- Baranzini, Sergio E -- Bergamaschi, Laura -- Bergamaschi, Roberto -- Bernstein, Allan -- Berthele, Achim -- Boggild, Mike -- Bradfield, Jonathan P -- Brassat, David -- Broadley, Simon A -- Buck, Dorothea -- Butzkueven, Helmut -- Capra, Ruggero -- Carroll, William M -- Cavalla, Paola -- Celius, Elisabeth G -- Cepok, Sabine -- Chiavacci, Rosetta -- Clerget-Darpoux, Francoise -- Clysters, Katleen -- Comi, Giancarlo -- Cossburn, Mark -- Cournu-Rebeix, Isabelle -- Cox, Mathew B -- Cozen, Wendy -- Cree, Bruce A C -- Cross, Anne H -- Cusi, Daniele -- Daly, Mark J -- Davis, Emma -- de Bakker, Paul I W -- Debouverie, Marc -- D'hooghe, Marie Beatrice -- Dixon, Katherine -- Dobosi, Rita -- Dubois, Benedicte -- Ellinghaus, David -- Elovaara, Irina -- Esposito, Federica -- Fontenille, Claire -- Foote, Simon -- Franke, Andre -- Galimberti, Daniela -- Ghezzi, Angelo -- Glessner, Joseph -- Gomez, Refujia -- Gout, Olivier -- Graham, Colin -- Grant, Struan F A -- Guerini, Franca Rosa -- Hakonarson, Hakon -- Hall, Per -- Hamsten, Anders -- Hartung, Hans-Peter -- Heard, Rob N -- Heath, Simon -- Hobart, Jeremy -- Hoshi, Muna -- Infante-Duarte, Carmen -- Ingram, Gillian -- Ingram, Wendy -- Islam, Talat -- Jagodic, Maja -- Kabesch, Michael -- Kermode, Allan G -- Kilpatrick, Trevor J -- Kim, Cecilia -- Klopp, Norman -- Koivisto, Keijo -- Larsson, Malin -- Lathrop, Mark -- Lechner-Scott, Jeannette S -- Leone, Maurizio A -- Leppa, Virpi -- Liljedahl, Ulrika -- Bomfim, Izaura Lima -- Lincoln, Robin R -- Link, Jenny -- Liu, Jianjun -- Lorentzen, Aslaug R -- Lupoli, Sara -- Macciardi, Fabio -- Mack, Thomas -- Marriott, Mark -- Martinelli, Vittorio -- Mason, Deborah -- McCauley, Jacob L -- Mentch, Frank -- Mero, Inger-Lise -- Mihalova, Tania -- Montalban, Xavier -- Mottershead, John -- Myhr, Kjell-Morten -- Naldi, Paola -- Ollier, William -- Page, Alison -- Palotie, Aarno -- Pelletier, Jean -- Piccio, Laura -- Pickersgill, Trevor -- Piehl, Fredrik -- Pobywajlo, Susan -- Quach, Hong L -- Ramsay, Patricia P -- Reunanen, Mauri -- Reynolds, Richard -- Rioux, John D -- Rodegher, Mariaemma -- Roesner, Sabine -- Rubio, Justin P -- Ruckert, Ina-Maria -- Salvetti, Marco -- Salvi, Erika -- Santaniello, Adam -- Schaefer, Catherine A -- Schreiber, Stefan -- Schulze, Christian -- Scott, Rodney J -- Sellebjerg, Finn -- Selmaj, Krzysztof W -- Sexton, David -- Shen, Ling -- Simms-Acuna, Brigid -- Skidmore, Sheila -- Sleiman, Patrick M A -- Smestad, Cathrine -- Sorensen, Per Soelberg -- Sondergaard, Helle Bach -- Stankovich, Jim -- Strange, Richard C -- Sulonen, Anna-Maija -- Sundqvist, Emilie -- Syvanen, Ann-Christine -- Taddeo, Francesca -- Taylor, Bruce -- Blackwell, Jenefer M -- Tienari, Pentti -- Bramon, Elvira -- Tourbah, Ayman -- Brown, Matthew A -- Tronczynska, Ewa -- Casas, Juan P -- Tubridy, Niall -- Corvin, Aiden -- Vickery, Jane -- Jankowski, Janusz -- Villoslada, Pablo -- Markus, Hugh S -- Wang, Kai -- Mathew, Christopher G -- Wason, James -- Palmer, Colin N A -- Wichmann, H-Erich -- Plomin, Robert -- Willoughby, Ernest -- Rautanen, Anna -- Winkelmann, Juliane -- Wittig, Michael -- Trembath, Richard C -- Yaouanq, Jacqueline -- Viswanathan, Ananth C -- Zhang, Haitao -- Wood, Nicholas W -- Zuvich, Rebecca -- Deloukas, Panos -- Langford, Cordelia -- Duncanson, Audrey -- Oksenberg, Jorge R -- Pericak-Vance, Margaret A -- Haines, Jonathan L -- Olsson, Tomas -- Hillert, Jan -- Ivinson, Adrian J -- De Jager, Philip L -- Peltonen, Leena -- Stewart, Graeme J -- Hafler, David A -- Hauser, Stephen L -- McVean, Gil -- Donnelly, Peter -- Compston, Alastair -- 068545/Z/02/Wellcome Trust/United Kingdom -- 075491/Z/04/Z/Wellcome Trust/United Kingdom -- 084702/Wellcome Trust/United Kingdom -- 085475/Wellcome Trust/United Kingdom -- 085475/B/08/Z/Wellcome Trust/United Kingdom -- 085475/Z/08/Z/Wellcome Trust/United Kingdom -- 090532/Wellcome Trust/United Kingdom -- 898/Multiple Sclerosis Society/United Kingdom -- AI076544/AI/NIAID NIH HHS/ -- CA104021/CA/NCI NIH HHS/ -- G0100594/Medical Research Council/United Kingdom -- G0400017/Medical Research Council/United Kingdom -- G0700061/Medical Research Council/United Kingdom -- G0901310/Medical Research Council/United Kingdom -- G0901461/Medical Research Council/United Kingdom -- G19/2/Medical Research Council/United Kingdom -- K23N/S048869/PHS HHS/ -- NS032830/NS/NINDS NIH HHS/ -- NS049477/NS/NINDS NIH HHS/ -- NS049510/NS/NINDS NIH HHS/ -- NS067305/NS/NINDS NIH HHS/ -- NS19142/NS/NINDS NIH HHS/ -- NS26799/NS/NINDS NIH HHS/ -- NS43559/NS/NINDS NIH HHS/ -- PDA/02/06/016/Department of Health/United Kingdom -- R01 NS026799/NS/NINDS NIH HHS/ -- R01 NS049477/NS/NINDS NIH HHS/ -- R01 NS049477-06A1/NS/NINDS NIH HHS/ -- RR020092/RR/NCRR NIH HHS/ -- RR024992/RR/NCRR NIH HHS/ -- UL1 TR000448/TR/NCATS NIH HHS/ -- Medical Research Council/United Kingdom -- England -- Nature. 2011 Aug 10;476(7359):214-9. doi: 10.1038/nature10251.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/21833088" target="_blank"〉PubMed〈/a〉

Description: Genome-wide changes in lncRNA, splicing, and regional gene expression patterns in autism Nature 540, 7633 (2016). doi:10.1038/nature20612 Authors: Neelroop N. Parikshak, Vivek Swarup, T. Grant Belgard, Manuel Irimia, Gokul Ramaswami, Michael J. Gandal, Christopher Hartl, Virpi Leppa, Luis de la Torre Ubieta, Jerry Huang, Jennifer K. Lowe, Benjamin J. Blencowe, Steve Horvath & Daniel H. Geschwind Autism spectrum disorder (ASD) involves substantial genetic contributions. These contributions are profoundly heterogeneous but may converge on common pathways that are not yet well understood. Here, through post-mortem genome-wide transcriptome analysis of the largest cohort of samples analysed so far, to our knowledge, we interrogate the noncoding transcriptome, alternative splicing, and upstream molecular regulators to broaden our understanding of molecular convergence in ASD. Our analysis reveals ASD-associated dysregulation of primate-specific long noncoding RNAs (lncRNAs), downregulation of the alternative splicing of activity-dependent neuron-specific exons, and attenuation of normal differences in gene expression between the frontal and temporal lobes. Our data suggest that SOX5, a transcription factor involved in neuron fate specification, contributes to this reduction in regional differences. We further demonstrate that a genetically defined subtype of ASD, chromosome 15q11.2-13.1 duplication syndrome (dup15q), shares the core transcriptomic signature observed in idiopathic ASD. Co-expression network analysis reveals that individuals with ASD show age-related changes in the trajectory of microglial and synaptic function over the first two decades, and suggests that genetic risk for ASD may influence changes in regional cortical gene expression. Our findings illustrate how diverse genetic perturbations can lead to phenotypic convergence at multiple biological levels in a complex neuropsychiatric disorder.

Description: The predisposition to neuropsychiatric disease involves a complex, polygenic, and pleiotropic genetic architecture. However, little is known about how genetic variants impart brain dysfunction or pathology. We used transcriptomic profiling as a quantitative readout of molecular brain-based phenotypes across five major psychiatric disorders—autism, schizophrenia, bipolar disorder, depression, and alcoholism—compared with matched controls. We identified patterns of shared and distinct gene-expression perturbations across these conditions. The degree of sharing of transcriptional dysregulation is related to polygenic (single-nucleotide polymorphism–based) overlap across disorders, suggesting a substantial causal genetic component. This comprehensive systems-level view of the neurobiological architecture of major neuropsychiatric illness demonstrates pathways of molecular convergence and specificity.