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1. Full Text Genome-Wide Interaction Analysis of Air Pollution Exposure and Childhood Asthma with Functional Follow-up
by Gref, Anna and Kebede Merid, Simon and Gruzieva, Olena and Ballereau, Stéphane and Becker, Allan and Bellander, Tom and Bergström, Anna and Bossé, Yohan and Bottai, Matteo and Chan-Yeung, Moira and Fuertes, Elaine and Ierodiakonou, Despo and Jiang, Ruiwei and Joly, Stéphane and Jones, Meaghan and Kobor, Michael S and Korek, Michal and Kozyrskyj, Anita L and Kumar, Ashish and Lemonnier, Nathanaël and MacIntyre, Elaina and Ménard, Camille and Nickle, David and Obeidat, Ma'en and Pellet, Johann and Standl, Marie and Sääf, Annika and Söderhäll, Cilla and Tiesler, Carla Mt and van den Berge, Maarten and Vonk, Judith M and Vora, Hita and Xu, Chengjian and Antó, Josep M and Auffray, Charles and Brauer, Michael and Bousquet, Jean and Brunekreef, Bert and Gauderman, W James and Heinrich, Joachim and Kere, Juha and Koppelman, Gerard H and Postma, Dirkje and Carlsten, Christopher and Pershagen, Göran and Melén, Erik
American Journal of Respiratory and Critical Care Medicine, ISSN 1073-449X, 05/2017, Volume 195, Issue 10, pp. 1373 - 1383
Rationale: The evidence supporting an association between traffic related air pollution exposure and incident childhood asthma is inconsistent and may depend... 
Expression quantitative trait locus | Children | Gene expression | Genome-wide interaction study | Methylation | LUNG-FUNCTION | LARGE-SCALE | PREVALENCE | genome-wide interaction study | GENE-ENVIRONMENT INTERACTION | expression quantitative trait locus | OBSTRUCTIVE PULMONARY-DISEASE | children | RESPIRATORY SYSTEM | methylation | LAND-USE REGRESSION | RHINOCONJUNCTIVITIS | DIESEL EXHAUST | ASSOCIATION | gene expression | CRITICAL CARE MEDICINE | Air Pollution - statistics & numerical data | Follow-Up Studies | Humans | Europe - epidemiology | Male | Gene-Environment Interaction | Asthma - genetics | Female | Vehicle Emissions | Polymorphism, Single Nucleotide | North America - epidemiology | Child | Asthma - epidemiology | Medical research | Health sciences | Genealogy | Childrens health | Genomes | Grants | Epidemiology | Asthma | Children & youth | Studies | Consortia | Councils | Collaboration | DNA methylation | Genetics | Air pollution | Influence | Nitrogen dioxide | Life Sciences | Human health and pathology | Pulmonology and respiratory tract | Original
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2. Full Text Exposure to traffic-related air pollution and serum inflammatory cytokines in children
by Gruzieva, Olena and Merid, Simon Kebede and Gref, Anna and Gajulapuri, Ashwini and Lemonnier, Nathanaël and Ballereau, Stéphane and Gigante, Bruna and Kere, Juha and Auffray, Charles and Melén, Erik and Pershagen, Göran
Environmental Health Perspectives, ISSN 0091-6765, 06/2017, Volume 125, Issue 6, p. 067007
BACKGROUND: Long-term exposure to ambient air pollution can lead to adverse health effects in children; however, underlying biological mechanisms are not fully... 
OXIDATIVE STRESS | MARKERS | ANTIINFLAMMATORY CYTOKINES | RESPONSES | ENVIRONMENTAL SCIENCES | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | ANTIOXIDANT | DISEASE | DIESEL EXHAUST | ASTHMA | TOXICOLOGY | ASSOCIATION | PARTICULATE MATTER | Air Pollution - statistics & numerical data | Gene Expression | Humans | Hypersensitivity | Interleukin-10 - blood | Biomarkers - blood | Nitrogen Dioxide - analysis | Particulate Matter - analysis | Interleukin-6 - blood | Environmental Exposure - statistics & numerical data | Vehicle Emissions - analysis | Child | Cytokines - blood | Cytokines | Analysis | Air pollution | Research | Children | Gene expression | Health aspects | Short term | Traffic models | Disease | Genes | Interleukin | Traffic | Daycare | Epidemiology | Interleukin 6 | Confidence intervals | Biological effects | Pollution | Child development | Pollution effects | Peripheral blood | Interleukin 1 | Measurement methods | Population | Bioindicators | Pollutants | Particulate emissions | Age | Statistical analysis | Markers | Health risks | Inflammation | Exposure | Interleukin 13 | Functional analysis | Regression analysis | Allergies | Asthma | Studies | Air pollution measurements | Tumor necrosis factor | Correlation analysis | Particulate matter | Interleukin 10 | Biomarkers | Adults | Nitrogen dioxide | Health risk assessment | Smoking
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3. Full Text DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis
by Joubert, Bonnie R and Felix, Janine F and Yousefi, Paul and Bakulski, Kelly M and Just, Allan C and Breton, Carrie and Reese, Sarah E and Markunas, Christina A and Richmond, Rebecca C and Xu, Cheng-Jian and Xu, Zongli and Küpers, Leanne K and Oh, Sam S and Hoyo, Cathrine and Gruzieva, Olena and Söderhäll, Cilla and Salas, Lucas A and Baïz, Nour and Zhang, Hongmei and Lepeule, Johanna and Ruiz, Carlos and Ligthart, Symen and Wang, Tianyuan and Taylor, Jack A and Duijts, Liesbeth and Sharp, Gemma C and Jankipersadsing, Soesma A and Nilsen, Roy M and Vaez, Ahmad and Fallin, M. Daniele and Hu, Donglei and Litonjua, Augusto A and Fuemmeler, Bernard F and Huen, Karen and Kere, Juha and Kull, Inger and Munthe-Kaas, Monica Cheng and Gehring, Ulrike and Bustamante, Mariona and Saurel-Coubizolles, Marie José and Quraishi, Bilal M and Ren, Jie and Tost, Jörg and Gonzalez, Juan R and Peters, Marjolein J and Håberg, Siri E and van Meurs, Joyce B and Gaunt, Tom R and Kerkhof, Marjan and Corpeleijn, Eva and Feinberg, Andrew P and Eng, Celeste and Baccarelli, Andrea A and Benjamin Neelon, Sara E and Bradman, Asa and Merid, Simon Kebede and Bergström, Anna and Herceg, Zdenko and Hernandez-Vargas, Hector and Brunekreef, Bert and Pinart, Mariona and Heude, Barbara and Ewart, Susan and Yao, Jin and Lemonnier, Nathanaël and Franco, Oscar H and Wu, Michael C and Hofman, Albert and McArdle, Wendy and Van der Vlies, Pieter and Falahi, Fahimeh and Gillman, Matthew W and Barcellos, Lisa F and Kumar, Ashish and Wickman, Magnus and Guerra, Stefano and Charles, Marie-Aline and Holloway, John and Auffray, Charles and Tiemeier, Henning W and Smith, George Davey and Postma, Dirkje and Hivert, Marie-France and Eskenazi, Brenda and Vrijheid, Martine and Arshad, Hasan and Antó, Josep M and Dehghan, Abbas and Karmaus, Wilfried and Annesi-Maesano, Isabella and Sunyer, Jordi and Ghantous, Akram and Pershagen, Göran and Holland, Nina and Murphy, Susan K and DeMeo, Dawn L and Burchard, Esteban G and Ladd-Acosta, Christine and Snieder, Harold and Nystad, Wenche and ...
The American Journal of Human Genetics, ISSN 0002-9297, 04/2016, Volume 98, Issue 4, pp. 680 - 696
Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy... 
BREAST-CANCER | IN-UTERO | CIGARETTE-SMOKING | LYMPH-NODE METASTASIS | PRENATAL EXPOSURE | TOBACCO-SMOKING | GENETICS & HEREDITY | LUNG-FUNCTION DECLINE | NEUROPILIN-2 EXPRESSION | AUTISM SPECTRUM DISORDERS | POSTSYNAPTIC DENSITY | Smoking - adverse effects | European Continental Ancestry Group - genetics | Genetic Association Studies | Epigenesis, Genetic | Humans | Child, Preschool | Infant | Chromosome Mapping | Cleft Palate - genetics | Asthma - genetics | Pregnancy | Cleft Lip - genetics | DNA Methylation | Cleft Palate - etiology | Female | Asthma - etiology | Child | Infant, Newborn | Cleft Lip - etiology | Genome-wide association studies | Genetic aspects | Nucleotide sequencing | Methylation | Health aspects | Methods | DNA sequencing | Smoking
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4. Full Text Prenatal Particulate Air Pollution and DNA Methylation in Newborns: An Epigenome-Wide Meta-Analysis
by Gruzieva, Olena and Xu, Cheng-Jian and Yousefi, Paul and Relton, Caroline and Merid, Simon Kebede and Breton, Carrie V and Gao, Lu and Volk, Heather E and Feinberg, Jason I and Ladd-Acosta, Christine and Bakulski, Kelly and Auffray, Charles and Lemonnier, Nathanaël and Plusquin, Michelle and Ghantous, Akram and Herceg, Zdenko and Nawrot, Tim S and Pizzi, Costanza and Richiardi, Lorenzo and Rusconi, Franca and Vineis, Paolo and Kogevinas, Manolis and Felix, Janine F and Duijts, Liesbeth and den Dekker, Herman T and Jaddoe, Vincent W V and Ruiz, José L and Bustamante, Mariona and Antó, Josep Maria and Sunyer, Jordi and Vrijheid, Martine and Gutzkow, Kristine B and Grazuleviciene, Regina and Hernandez-Ferrer, Carles and Annesi-Maesano, Isabella and Lepeule, Johanna and Bousquet, Jean and Bergström, Anna and Kull, Inger and Söderhäll, Cilla and Kere, Juha and Gehring, Ulrike and Brunekreef, Bert and Just, Allan C and Wright, Rosalind J and Peng, Cheng and Gold, Diane R and Kloog, Itai and DeMeo, Dawn L and Pershagen, Göran and Koppelman, Gerard H and London, Stephanie J and Baccarelli, Andrea A and Melén, Erik and Biobank-based Integrative Omics and the Biobank-based Integrative Omics Studies (BIOS) Consortium
Environmental health perspectives, ISSN 0091-6765, 05/2019, Volume 127, Issue 5, pp. 57012 - 57012
Background: Prenatal exposure to air pollution has been associated with childhood respiratory disease and other adverse outcomes. Epigenetics is a suggested... 
MATTER | CORD BLOOD | SUSCEPTIBILITY | LUNG DEVELOPMENT | CHILDHOOD ASTHMA | PREGNANCY | ENVIRONMENTAL SCIENCES | PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH | GENE-EXPRESSION | R-PACKAGE | TOXICOLOGY | ASSOCIATION | EXPOSURE | Infants (Newborn) | Epigenetic inheritance | RNA | Pregnant women | Analysis | Genes | DNA | Genetic research | Air pollution | Pediatric respiratory diseases | Methylation | Neonates | Oxidative stress | Respiratory function | Genomes | Kinases | Guanine | Consortia | Pollution | Annotations | DNA methylation | Cytosine | Children | Prenatal experience | Bioinformatics | Deoxyribonucleic acid--DNA | Particulate emissions | CpG islands | Particulates | Exposure | Gene expression | Asthma | Meta-analysis | Studies | Pregnancy | Autism | Lungs | Respiratory diseases | Particulate matter | Epigenetics | Nitrogen dioxide | Metilació | Infants nadons | ADN | Aire | Contaminació | Genòmica
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5. Full Text A computational framework for complex disease stratification from multiple large-scale datasets
by De Meulder, Bertrand and Lefaudeux, Diane and Bansal, Aruna T and Mazein, Alexander and Chaiboonchoe, Amphun and Ahmed, Hassan and Balaur, Irina and Saqi, Mansoor and Pellet, Johann and Ballereau, Stéphane and Lemonnier, Nathanaël and Sun, Kai and Pandis, Ioannis and Yang, Xian and Batuwitage, Manohara and Kretsos, Kosmas and van Eyll, Jonathan and Bedding, Alun and Davison, Timothy and Dodson, Paul and Larminie, Christopher and Postle, Anthony and Corfield, Julie and Djukanovic, Ratko and Chung, Kian Fan and Adcock, Ian M and Guo, Yi-Ke and Sterk, Peter J and Manta, Alexander and Rowe, Anthony and Baribaud, Frédéric and Auffray, Charles and Gibeon, David and Hoda, Uruj and Kuo, Scott and Meah, Sally and Meiser, Andrea and Fleming, Louise J and Hu, Sile and Pavlidis, Stelios and Rossios, Christos and Russel, Kirsty and Wiegman, Coen and Nezhad, Alireza Tamaddoni and Oehmichen, Axel and O'Malley, Diana and Guitton, Florian and Emam, Ibrahim and Agapow, Paul and Rice, Peter and Miles, Sally and Elyasigomari, Vahid and Bel, Elisabeth and Brinkman, Paul and Dekker, Tamara and Dijkhuis, Annemiek and Hashimoto, Simone and Hekking, Pieter-Paul and Lone-Latif, Saeeda and Lutter, Rene and Ravanetti, Lara and Smids, Barbara and van Aalderen, Wim and van de Pol, Marianne and van Drunen, Kees and van Drunen, Marleen and Wagener, Ariane and Zwinderman, Koos and Adriaens, Nora and Carusi, Anna Maria and Richard, Fabien and Nogueira, Maria Manuela and Taibi, Nesrine and Brasier, Odile and Aliprantis, Antonios and Alving, Kjell and Faulenbach, Cornelia and Braun, Armin and Hohlfeld, Jans and Krug, Norbert and Badorrek, Philipp and Bakke, Per and Berglind, Ann and Chaleckis, Romanas and Dahlén, Barbro and Delin, Ingrid and Gallart, Hactor and Gomez, Cristina and Hedlin, Gunilla and Henriksson, Elisabeth and James, Anna J and Kolmert, Johan and Konradsen, Jon and Kupczyk, Maciej and Lantz, Ann-Sofie and Lazarinis, Lars and Mathon, Caroline and Middelveld, Roelinde and Naz, Shama and Nordlund, Björn and ... and eTRIKS Consortium and U-BIOPRED Study Grp and the U-BIOPRED Study Group and the eTRIKS Consortium
BMC Systems Biology, ISSN 1752-0509, 05/2018, Volume 12, Issue 1, pp. 1 - 23
Background: Multilevel data integration is becoming a major area of research in systems biology. Within this area, multi-'omics datasets on complex diseases... 
Stratification | Systems medicine | Molecular signatures | Omics data | TRANSCRIPTION FACTORS | OVARIAN-CARCINOMA CELLS | PROTEIN IDENTIFICATION | FALSE DISCOVERY RATE | BIG DATA | MATHEMATICAL & COMPUTATIONAL BIOLOGY | INTEGRATIVE SYSTEMS BIOLOGY | GENE-EXPRESSION | RELATIVITY THEORY | HEDGEHOG SIGNALING PATHWAY | Medicine, Experimental | Medical research | Disease susceptibility | Research | Innovations | Computational biology | Ontology | Disease | Genomics | Clinical trials | Identification | Biology | Ovarian cancer | Data management | Prediction models | Data integration | DNA methylation | Bioindicators | Signatures | Bioinformatics | Statistical analysis | Filtration | Knowledge representation | Data processing | Gene expression | Clustering | Medicine | Hypotheses | Data sets | Computer applications | Biomarkers
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6. Full Text Higher‐than‐expected population prevalence of potentially pathogenic germline TP53 variants in individuals unselected for cancer history
by Andrade, Kelvin César and Mirabello, Lisa and Stewart, Douglas R and Karlins, Eric and Koster, Roelof and Wang, Mingyi and Gapstur, Susan M and Gaudet, Mia M and Freedman, Neal D and Landi, Maria Teresa and Lemonnier, Nathanaël and Hainaut, Pierre and Savage, Sharon A and Achatz, Maria Isabel
Human Mutation, ISSN 1059-7794, 12/2017, Volume 38, Issue 12, pp. 1723 - 1730
Li–Fraumeni syndrome (LFS) is an autosomal‐dominant cancer predisposition disorder associated with pathogenic germline variants in TP53 , with a high... 
genetic variation | cancer | Li‐Fraumeni syndrome | TP53 | Li-Fraumeni syndrome | NEOPLASMS | MUTATION CARRIERS | FAMILIAL SYNDROME | GENOME | PREDICTION | BREAST-CANCER | LI-FRAUMENI-SYNDROME | CLONAL HEMATOPOIESIS | SEQUENCE | GENETICS & HEREDITY | ASSOCIATION | Prevalence | Humans | Middle Aged | Databases, Genetic | Genotype | Penetrance | Tumor Suppressor Protein p53 - genetics | Whole Exome Sequencing | Genetic Variation | Li-Fraumeni Syndrome - genetics | Exome - genetics | Aged, 80 and over | Germ-Line Mutation | Adult | Family | Female | Aged | Algorithms | Tumor proteins | Statistics | Epidemiology | Cancer | Pathogenicity | p53 Protein | Population | Mutation | Deoxyribonucleic acid--DNA | Hereditary diseases
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7. Full Text Variable population prevalence estimates of germline TP53 variants: A gnomAD‐based analysis
by Andrade, Kelvin C and Frone, Megan N and Wegman‐Ostrosky, Talia and Khincha, Payal P and Kim, Jung and Amadou, Amina and Santiago, Karina M and Fortes, Fernanda P and Lemonnier, Nathanaël and Mirabello, Lisa and Stewart, Douglas R and Hainaut, Pierre and Kowalski, Luiz P and Savage, Sharon A and Achatz, Maria I
Human Mutation, ISSN 1059-7794, 01/2019, Volume 40, Issue 1, pp. 97 - 105
Reports of variable cancer penetrance in Li–Fraumeni syndrome (LFS) have raised questions regarding the prevalence of pathogenic germline TP53 variants. We... 
prevalence | variant classification | pathogenic variant | Li–Fraumeni syndrome | gnomAD | TP53 | PROTEIN | GUIDELINES | IDENTIFICATION | BREAST-CANCER | GENOMICS | DISEASE | GENETICS & HEREDITY | LABORATORIES | REASSESSMENT | MUTATION DATABASE | Li-Fraumeni syndrome | Tumor proteins | Analysis | Algorithms | Phenotypes | Databases | p53 Protein | Classification | Cancer
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8. Full Text Response to: Concern regarding classification of germlineTP53 variants as likely pathogenic
by Andrade, Kelvin C and Frone, Megan N and Wegman‐Ostrosky, Talia and Khincha, Payal P and Kim, Jung and Amadou, Amina and Santiago, Karina M and Fortes, Fernanda P and Lemonnier, Nathanaël and Mirabello, Lisa and Stewart, Douglas R and Hainaut, Pierre and Kowalski, Luiz P and Savage, Sharon A and Achatz, Maria I
Human Mutation, ISSN 1059-7794, 06/2019, Volume 40, Issue 6, pp. 832 - 833
prevalence | variant classification | Li‐Fraumeni syndrome | gnomAD | TP53 | Li-Fraumeni syndrome | GUIDELINES | GENETICS & HEREDITY | Tumor proteins
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9. Full Text DNA methylation in childhood asthma: an epigenome-wide meta-analysis
by Xu, Cheng-Jian and Söderhäll, Cilla and Bustamante, Mariona and Baïz, Nour and Gruzieva, Olena and Gehring, Ulrike and Mason, Dan and Chatzi, Leda and Basterrechea, Mikel and Llop, Sabrina and Torrent, Maties and Forastiere, Francesco and Fantini, Maria Pia and Carlsen, Karin C Lødrup and Carlsen, Kai-Håkon and Haahtela, Tari and Morin, Andréanne and Kerkhof, Marjan and Merid, Simon Kebede and van Rijkom, Bianca and Jankipersadsing, Soesma A and Bonder, Marc Jan and Ballereau, Stephane and Vermeulen, Cornelis J and Aguirre-Gamboa, Raul and de Jongste, Johan C and Smit, Henriette A and Kumar, Ashish and Pershagen, Göran and Guerra, Stefano and Garcia-Aymerich, Judith and Greco, Dario and Reinius, Lovisa and McEachan, Rosemary R C and Azad, Raf and Hovland, Vegard and Mowinckel, Petter and Alenius, Harri and Fyhrquist, Nanna and Lemonnier, Nathanaël and Pellet, Johann and Auffray, Charles and van der Vlies, Pieter and van Diemen, Cleo C and Li, Yang and Wijmenga, Cisca and Netea, Mihai G and Moffatt, Miriam F and Cookson, William O C M and Anto, Josep M and Bousquet, Jean and Laatikainen, Tiina and Laprise, Catherine and Gori, Davide and Porta, Daniela and Iñiguez, Carmen and Bilbao, Jose Ramon and Kogevinas, Manolis and Wright, John and Brunekreef, Bert and Kere, Juha and Nawijn, Martijn C and Annesi-Maesano, Isabella and Sunyer, Jordi and Melén, Erik and Koppelman, Gerard H and BIOS Consortium
The Lancet Respiratory Medicine, ISSN 2213-2600, 05/2018, Volume 6, Issue 5, pp. 379 - 388
DNA methylation profiles associated with childhood asthma might provide novel insights into disease pathogenesis. We did an epigenome-wide association study to... 
RHINITIS | POPULATION | COLLECTION | IMMUNITY | RESPIRATORY SYSTEM | GENOMEWIDE ASSOCIATION | IGE | PHENOTYPES | COHORT | EXPOSURE | CHILDREN | CRITICAL CARE MEDICINE | Genome-Wide Association Study | Epigenesis, Genetic | Humans | Child, Preschool | Male | T-Lymphocytes, Cytotoxic | Eosinophils - immunology | Asthma - genetics | DNA - blood | DNA Methylation | Asthma - blood | CpG Islands | Female | Child | Physiological aspects | Development and progression | Genetic aspects | Research | Methylation | Asthma in children
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