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1. Intermediate and long-term exposure to air pollution and temperature and the extracellular microRNA profile of participants in the normative aging study (NAS)

Author

Danesh Yazdi, Mahdieh, Nassan, Feiby L, Kosheleva, Anna, Wang, Cuicui, Xu, Zongli, Di, Qian, Requia, Weeberb J, Comfort, Nicole T, Wu, Haotian, Laurent, Louise C, DeHoff, Peter, Vokonas, Pantel, Baccarelli, Andrea A, and Schwartz, Joel D

Subjects
Environmental Sciences, Pollution and Contamination, Aging, Genetics, Biotechnology, Climate-Related Exposures and Conditions, Aetiology, 2.2 Factors relating to the physical environment, Good Health and Well Being, Humans, Air Pollutants, Nitrogen Dioxide, Temperature, Particulate Matter, Air Pollution, MicroRNAs, Environmental Exposure, Ozone, Particulate matter, Nitrogen dioxide, Ambient temperature, microRNA, Air pollution, Chemical Sciences, Biological Sciences, Toxicology, Biological sciences, Chemical sciences, Environmental sciences
Abstract

BackgroundThe molecular effects of intermediate and long-term exposure to air pollution and temperature, such as those on extracellular microRNA (ex-miRNA) are not well understood but may have clinical consequences.ObjectivesTo assess the association between exposure to ambient air pollution and temperature and ex-miRNA profiles.MethodsOur study population consisted of 734 participants in the Normative Aging Study (NAS) between 1999 and 2015. We used high-resolution models to estimate four-week, eight-week, twelve-week, six-month, and one-year moving averages of PM2.5, O3, NO2, and ambient temperature based on geo-coded residential addresses. The outcome of interest was the extracellular microRNA (ex-miRNA) profile of each participant over time. We used a longitudinal quantile regression approach to estimate the association between the exposures and each ex-miRNA. Results were corrected for multiple comparisons and ex-miRNAs that were still significantly associated with the exposures were further analyzed using KEGG pathway analysis and Ingenuity Pathway Analysis.ResultsWe found 151 significant associations between levels of PM2.5, O3, NO2, and ambient temperature and 82 unique ex-miRNAs across multiple quantiles. Most of the significant results were associations with intermediate-term exposure to O3, long-term exposure to PM2.5, and both intermediate and long-term exposure to ambient temperature. The exposures were most often associated with the 75th and 90th percentile of the outcomes. Pathway analyses of significant ex-miRNAs revealed their involvement in biological pathways involving cell function and communication as well as clinical diseases such as cardiovascular disease, respiratory disease, and neurological disease.ConclusionOur results show that intermediate and long-term exposure to all our exposures of interest were associated with changes in the ex-miRNA profile of study participants. Further studies on environmental risk factors and ex-miRNAs are warranted.

Published
2023

2. Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use

Author

Fang, Fang, Quach, Bryan, Lawrence, Kaitlyn G., van Dongen, Jenny, Marks, Jesse A., Lundgren, Sara, Lin, Mingkuan, Odintsova, Veronika V., Costeira, Ricardo, Xu, Zongli, Zhou, Linran, Mandal, Meisha, Xia, Yujing, Vink, Jacqueline M., Bierut, Laura J., Ollikainen, Miina, Taylor, Jack A., Bell, Jordana T., Kaprio, Jaakko, Boomsma, Dorret I., Xu, Ke, Sandler, Dale P., Hancock, Dana B., and Johnson, Eric O.

Published
2024
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3. Short-term air pollution and temperature exposure and changes in the extracellular microRNA profile of Normative Aging Study (NAS) participants

Author

Danesh Yazdi, Mahdieh, Nassan, Feiby L, Kosheleva, Anna, Wang, Cuicui, Xu, Zongli, Di, Qian, Requia, Weeberb J, Comfort, Nicole T, Wu, Haotian, Laurent, Louise C, DeHoff, Peter, Vokonas, Pantel, Baccarelli, Andrea A, and Schwartz, Joel D

Subjects
Genetics, Aging, Climate-Related Exposures and Conditions, Biotechnology, Good Health and Well Being, Humans, Air Pollutants, Air Pollution, Environmental Exposure, MicroRNAs, Nitrogen Dioxide, Ozone, Particulate Matter, Temperature, Air pollution, microRNA, Particulate matter, Nitrogen dioxide, Ambient temperature, Environmental Sciences
Abstract

BackgroundWhile the health effects of air pollution and temperature are widely studied, the molecular effects are poorly understood. Extracellular microRNAs (ex-miRNAs) have the potential to serve as diagnostic or prognostic biomarkers and/or to act as intercellular signaling molecules that mediate the effects of environmental exposures on health outcomes.MethodsWe examined the relationship between short-term exposure to air pollution and ambient temperature and the ex-miRNA profiles of participants in the Normative Aging Study (NAS) from 1999 to 2015. Our exposures were defined as same-day, two-day, three-day, one-week, two-week, and three-week moving averages of PM2.5, NO2, O3, and temperature which were derived from high-resolution spatio-temporal models. The ex-miRNA profiles of the subjects were obtained during follow-up visits. We analyzed the data using a longitudinal quantile regression model adjusted for individual covariates, batch effects, and time trends. We adjusted for multiple comparisons using a false discovery rate (FDR) correction. Ex-miRNAs that were significantly associated with exposures were further investigated using pathway analyses.ResultsWe found that all the examined exposures were associated with changes in ex-miRNA profiles in our study, particularly PM2.5 which was responsible for most of the statistically significant results. We found 110 statistically significant exposure-outcome relationships that revealed associations with the levels of 52 unique ex-miRNAs. Pathway analyses showed these ex-miRNAs have been linked to target mRNAs, genes, and biological mechanisms that could affect virtually every organ system, and as such may be linked to multiple clinical disease presentations such as cardiovascular disease, respiratory disease, and neurological disease.ConclusionsAir pollution and temperature exposures were significantly associated with alterations in the ex-miRNA profiles of NAS subjects with possible biological consequences.

Published
2023

6. Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L, Min, Josine L, Richmond, Rebecca C, Lu, Ake T, Sobczyk, Maria K, Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R, Mishra, Pashupati P, Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M, Ratliff, Scott M, Richardson, Tom G, Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D, Walker, Rosie M, Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R, Gieger, Christian, de Geus, Eco JC, Harris, Sarah E, Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon LR, Kresovich, Jacob K, Li, Shengxu, Lunetta, Kathryn L, Mangino, Massimo, Mason, Dan, McIntosh, Andrew M, Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M, Ollikainen, Miina, Pankow, James S, Pedersen, Nancy L, Peters, Annette, Polidoro, Silvia, Porteous, David J, Raitakari, Olli, Rich, Stephen S, Sandler, Dale P, Sillanpää, Elina, Smith, Alicia K, Southey, Melissa C, Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G, Van Den Berg, David J, van Dongen, Jenny, Wilson, James G, Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T, Binder, Alexandra M, Boomsma, Dorret I, Chen, Wei, Christensen, Kaare, Conneely, Karen N, Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A, Lehtimäki, Terho, Lohoff, Falk W, Milani, Lili, Milne, Roger L, Probst-Hensch, Nicole, Reiner, Alex P, Ritz, Beate, and Rotter, Jerome I

Subjects
Prevention, Nutrition, Aging, Human Genome, Genetics, Generic health relevance, Inflammatory and immune system, Good Health and Well Being, Adiposity, Biomarkers, C-Reactive Protein, CpG Islands, DNA Methylation, Educational Status, Epigenesis, Genetic, Genetic Loci, Genetic Markers, Genome, Human, Genome-Wide Association Study, Granulocytes, Humans, Immunity, Innate, Lipid Metabolism, Multifactorial Inheritance, Plasminogen Activator Inhibitor 1, DNA methylation, GWAS, Epigenetic clock, Genetics of DNA Methylation Consortium, NHLBI Trans-Omics for Precision Medicine (TOPMed) Consortium, Environmental Sciences, Biological Sciences, Information and Computing Sciences, Bioinformatics
Abstract

BackgroundBiological aging estimators derived from DNA methylation data are heritable and correlate with morbidity and mortality. Consequently, identification of genetic and environmental contributors to the variation in these measures in populations has become a major goal in the field.ResultsLeveraging DNA methylation and SNP data from more than 40,000 individuals, we identify 137 genome-wide significant loci, of which 113 are novel, from genome-wide association study (GWAS) meta-analyses of four epigenetic clocks and epigenetic surrogate markers for granulocyte proportions and plasminogen activator inhibitor 1 levels, respectively. We find evidence for shared genetic loci associated with the Horvath clock and expression of transcripts encoding genes linked to lipid metabolism and immune function. Notably, these loci are independent of those reported to regulate DNA methylation levels at constituent clock CpGs. A polygenic score for GrimAge acceleration showed strong associations with adiposity-related traits, educational attainment, parental longevity, and C-reactive protein levels.ConclusionThis study illuminates the genetic architecture underlying epigenetic aging and its shared genetic contributions with lifestyle factors and longevity.

Published
2021

9. Meta-analysis of epigenome-wide association studies in neonates reveals widespread differential DNA methylation associated with birthweight.

Author

Küpers, Leanne K, Monnereau, Claire, Sharp, Gemma C, Yousefi, Paul, Salas, Lucas A, Ghantous, Akram, Page, Christian M, Reese, Sarah E, Wilcox, Allen J, Czamara, Darina, Starling, Anne P, Novoloaca, Alexei, Lent, Samantha, Roy, Ritu, Hoyo, Cathrine, Breton, Carrie V, Allard, Catherine, Just, Allan C, Bakulski, Kelly M, Holloway, John W, Everson, Todd M, Xu, Cheng-Jian, Huang, Rae-Chi, van der Plaat, Diana A, Wielscher, Matthias, Merid, Simon Kebede, Ullemar, Vilhelmina, Rezwan, Faisal I, Lahti, Jari, van Dongen, Jenny, Langie, Sabine AS, Richardson, Tom G, Magnus, Maria C, Nohr, Ellen A, Xu, Zongli, Duijts, Liesbeth, Zhao, Shanshan, Zhang, Weiming, Plusquin, Michelle, DeMeo, Dawn L, Solomon, Olivia, Heimovaara, Joosje H, Jima, Dereje D, Gao, Lu, Bustamante, Mariona, Perron, Patrice, Wright, Robert O, Hertz-Picciotto, Irva, Zhang, Hongmei, Karagas, Margaret R, Gehring, Ulrike, Marsit, Carmen J, Beilin, Lawrence J, Vonk, Judith M, Jarvelin, Marjo-Riitta, Bergström, Anna, Örtqvist, Anne K, Ewart, Susan, Villa, Pia M, Moore, Sophie E, Willemsen, Gonneke, Standaert, Arnout RL, Håberg, Siri E, Sørensen, Thorkild IA, Taylor, Jack A, Räikkönen, Katri, Yang, Ivana V, Kechris, Katerina, Nawrot, Tim S, Silver, Matt J, Gong, Yun Yun, Richiardi, Lorenzo, Kogevinas, Manolis, Litonjua, Augusto A, Eskenazi, Brenda, Huen, Karen, Mbarek, Hamdi, Maguire, Rachel L, Dwyer, Terence, Vrijheid, Martine, Bouchard, Luigi, Baccarelli, Andrea A, Croen, Lisa A, Karmaus, Wilfried, Anderson, Denise, de Vries, Maaike, Sebert, Sylvain, Kere, Juha, Karlsson, Robert, Arshad, Syed Hasan, Hämäläinen, Esa, Routledge, Michael N, Boomsma, Dorret I, Feinberg, Andrew P, Newschaffer, Craig J, Govarts, Eva, Moisse, Matthieu, Fallin, M Daniele, Melén, Erik, and Prentice, Andrew M

Subjects
Fetus, Humans, Prenatal Exposure Delayed Effects, Birth Weight, Folic Acid, DNA, Body Mass Index, Smoking, DNA Methylation, Epigenesis, Genetic, CpG Islands, Fetal Development, Pregnancy, Genome, Human, Adolescent, Adult, Child, Infant, Newborn, Female, Male, Genome-Wide Association Study, Epigenesis, Genetic, Genome, Human, Infant, Newborn
Abstract

Birthweight is associated with health outcomes across the life course, DNA methylation may be an underlying mechanism. In this meta-analysis of epigenome-wide association studies of 8,825 neonates from 24 birth cohorts in the Pregnancy And Childhood Epigenetics Consortium, we find that DNA methylation in neonatal blood is associated with birthweight at 914 sites, with a difference in birthweight ranging from -183 to 178 grams per 10% increase in methylation (PBonferroni

Published
2019

11. Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium

Author

Sharp, Gemma C, Salas, Lucas A, Monnereau, Claire, Allard, Catherine, Yousefi, Paul, Everson, Todd M, Bohlin, Jon, Xu, Zongli, Huang, Rae-Chi, Reese, Sarah E, Xu, Cheng-Jian, Baïz, Nour, Hoyo, Cathrine, Agha, Golareh, Roy, Ritu, Holloway, John W, Ghantous, Akram, Merid, Simon K, Bakulski, Kelly M, Küpers, Leanne K, Zhang, Hongmei, Richmond, Rebecca C, Page, Christian M, Duijts, Liesbeth, Lie, Rolv T, Melton, Phillip E, Vonk, Judith M, Nohr, Ellen A, Williams-DeVane, ClarLynda, Huen, Karen, Rifas-Shiman, Sheryl L, Ruiz-Arenas, Carlos, Gonseth, Semira, Rezwan, Faisal I, Herceg, Zdenko, Ekström, Sandra, Croen, Lisa, Falahi, Fahimeh, Perron, Patrice, Karagas, Margaret R, Quraishi, Bilal M, Suderman, Matthew, Magnus, Maria C, Jaddoe, Vincent WV, Taylor, Jack A, Anderson, Denise, Zhao, Shanshan, Smit, Henriette A, Josey, Michele J, Bradman, Asa, Baccarelli, Andrea A, Bustamante, Mariona, Håberg, Siri E, Pershagen, Göran, Hertz-Picciotto, Irva, Newschaffer, Craig, Corpeleijn, Eva, Bouchard, Luigi, Lawlor, Debbie A, Maguire, Rachel L, Barcellos, Lisa F, Smith, George Davey, Eskenazi, Brenda, Karmaus, Wilfried, Marsit, Carmen J, Hivert, Marie-France, Snieder, Harold, Fallin, M Daniele, Melén, Erik, Munthe-Kaas, Monica C, Arshad, Hasan, Wiemels, Joseph L, Annesi-Maesano, Isabella, Vrijheid, Martine, Oken, Emily, Holland, Nina, Murphy, Susan K, Sørensen, Thorkild IA, Koppelman, Gerard H, Newnham, John P, Wilcox, Allen J, Nystad, Wenche, London, Stephanie J, Felix, Janine F, and Relton, Caroline L

Subjects
Biological Sciences, Genetics, Perinatal Period - Conditions Originating in Perinatal Period, Contraception/Reproduction, Pediatric, Human Genome, Obesity, 2.1 Biological and endogenous factors, Aetiology, Reproductive health and childbirth, Adult, Body Mass Index, Cohort Studies, DNA Methylation, Epigenesis, Genetic, Epigenomics, Female, Humans, Infant, Newborn, Male, Maternal Inheritance, Mothers, Pregnancy, Pregnancy Outcome, Prenatal Exposure Delayed Effects, Medical and Health Sciences, Genetics & Heredity
Abstract

Pre-pregnancy maternal obesity is associated with adverse offspring outcomes at birth and later in life. Individual studies have shown that epigenetic modifications such as DNA methylation could contribute. Within the Pregnancy and Childhood Epigenetics (PACE) Consortium, we meta-analysed the association between pre-pregnancy maternal BMI and methylation at over 450,000 sites in newborn blood DNA, across 19 cohorts (9,340 mother-newborn pairs). We attempted to infer causality by comparing the effects of maternal versus paternal BMI and incorporating genetic variation. In four additional cohorts (1,817 mother-child pairs), we meta-analysed the association between maternal BMI at the start of pregnancy and blood methylation in adolescents. In newborns, maternal BMI was associated with small (

Published
2017

12. Blood-based DNA methylation study of alcohol consumption

Author

Bernabeu, Elena, primary, Chybowska, Aleksandra, additional, Kresovich, Jacob K, additional, Suderman, Matthew, additional, McCartney, Daniel L., additional, Hillary, Robert F, additional, Corley, Janie, additional, Valdes Hernandez, Maria Del Carmen, additional, Munoz Maniega, Susana, additional, Bastin, Mark E, additional, Wardlaw, Joanna M, additional, Xu, Zongli, additional, Sandler, Dale P., additional, Campbell, Archie, additional, Harris, Sarah E, additional, McIntosh, Andrew M, additional, Taylor, Jack, additional, Yousefi, Paul Darius, additional, Cox, Simon R, additional, Evans, Kathryn L, additional, Robinson, Matthew Richard, additional, Vallejos, Catalina A, additional, and Marioni, Riccardo, additional

Published
2024
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14. DNA Methylation in Newborns and Maternal Smoking in Pregnancy: Genome-wide Consortium Meta-analysis

Author

Joubert, Bonnie R, Felix, Janine F, Yousefi, Paul, Bakulski, Kelly M, Just, Allan C, Breton, Carrie, Reese, Sarah E, Markunas, Christina A, Richmond, Rebecca C, Xu, Cheng-Jian, Küpers, Leanne K, Oh, Sam S, Hoyo, Cathrine, Gruzieva, Olena, Söderhäll, Cilla, Salas, Lucas A, Baïz, Nour, Zhang, Hongmei, Lepeule, Johanna, Ruiz, Carlos, Ligthart, Symen, Wang, Tianyuan, Taylor, Jack A, Duijts, Liesbeth, Sharp, Gemma C, Jankipersadsing, Soesma A, Nilsen, Roy M, Vaez, Ahmad, Fallin, M Daniele, Hu, Donglei, Litonjua, Augusto A, Fuemmeler, Bernard F, Huen, Karen, Kere, Juha, Kull, Inger, Munthe-Kaas, Monica Cheng, Gehring, Ulrike, Bustamante, Mariona, Saurel-Coubizolles, Marie José, Quraishi, Bilal M, Ren, Jie, Tost, Jörg, Gonzalez, Juan R, Peters, Marjolein J, Håberg, Siri E, Xu, Zongli, van Meurs, Joyce B, Gaunt, Tom R, Kerkhof, Marjan, Corpeleijn, Eva, Feinberg, Andrew P, Eng, Celeste, Baccarelli, Andrea A, Neelon, Sara E Benjamin, Bradman, Asa, Merid, Simon Kebede, Bergström, Anna, Herceg, Zdenko, Hernandez-Vargas, Hector, Brunekreef, Bert, Pinart, Mariona, Heude, Barbara, Ewart, Susan, Yao, Jin, Lemonnier, Nathanaël, Franco, Oscar H, Wu, Michael C, Hofman, Albert, McArdle, Wendy, Van der Vlies, Pieter, Falahi, Fahimeh, Gillman, Matthew W, Barcellos, Lisa F, Kumar, Ashish, Wickman, Magnus, Guerra, Stefano, Charles, Marie-Aline, Holloway, John, Auffray, Charles, Tiemeier, Henning W, Smith, George Davey, Postma, Dirkje, Hivert, Marie-France, Eskenazi, Brenda, Vrijheid, Martine, Arshad, Hasan, Antó, Josep M, Dehghan, Abbas, Karmaus, Wilfried, Annesi-Maesano, Isabella, Sunyer, Jordi, Ghantous, Akram, Pershagen, Göran, Holland, Nina, Murphy, Susan K, DeMeo, Dawn L, Burchard, Esteban G, Ladd-Acosta, Christine, Snieder, Harold, and Nystad, Wenche

Subjects
Genetics, Pediatric, Human Genome, Tobacco, Tobacco Smoke and Health, Prevention, Aetiology, 2.1 Biological and endogenous factors, 2.2 Factors relating to the physical environment, Respiratory, Reproductive health and childbirth, Good Health and Well Being, Asthma, Child, Child, Preschool, Chromosome Mapping, Cleft Lip, Cleft Palate, DNA Methylation, Epigenesis, Genetic, Female, Genetic Association Studies, Humans, Infant, Infant, Newborn, Pregnancy, Smoking, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Epigenetic modifications, including DNA methylation, represent a potential mechanism for environmental impacts on human disease. Maternal smoking in pregnancy remains an important public health problem that impacts child health in a myriad of ways and has potential lifelong consequences. The mechanisms are largely unknown, but epigenetics most likely plays a role. We formed the Pregnancy And Childhood Epigenetics (PACE) consortium and meta-analyzed, across 13 cohorts (n = 6,685), the association between maternal smoking in pregnancy and newborn blood DNA methylation at over 450,000 CpG sites (CpGs) by using the Illumina 450K BeadChip. Over 6,000 CpGs were differentially methylated in relation to maternal smoking at genome-wide statistical significance (false discovery rate, 5%), including 2,965 CpGs corresponding to 2,017 genes not previously related to smoking and methylation in either newborns or adults. Several genes are relevant to diseases that can be caused by maternal smoking (e.g., orofacial clefts and asthma) or adult smoking (e.g., certain cancers). A number of differentially methylated CpGs were associated with gene expression. We observed enrichment in pathways and processes critical to development. In older children (5 cohorts, n = 3,187), 100% of CpGs gave at least nominal levels of significance, far more than expected by chance (p value < 2.2 × 10(-16)). Results were robust to different normalization methods used across studies and cell type adjustment. In this large scale meta-analysis of methylation data, we identified numerous loci involved in response to maternal smoking in pregnancy with persistence into later childhood and provide insights into mechanisms underlying effects of this important exposure.

Published
2016

15. Identification of a novel susceptibility locus at 13q34 and refinement of the 20p12.2 region as a multi-signal locus associated with bladder cancer risk in individuals of European ancestry

Author

Figueroa, Jonine D, Middlebrooks, Candace D, Banday, A Rouf, Ye, Yuanqing, Garcia-Closas, Montserrat, Chatterjee, Nilanjan, Koutros, Stella, Kiemeney, Lambertus A, Rafnar, Thorunn, Bishop, Timothy, Furberg, Helena, Matullo, Giuseppe, Golka, Klaus, Gago-Dominguez, Manuela, Taylor, Jack A, Fletcher, Tony, Siddiq, Afshan, Cortessis, Victoria K, Kooperberg, Charles, Cussenot, Olivier, Benhamou, Simone, Prescott, Jennifer, Porru, Stefano, Dinney, Colin P, Malats, Núria, Baris, Dalsu, Purdue, Mark P, Jacobs, Eric J, Albanes, Demetrius, Wang, Zhaoming, Chung, Charles C, Vermeulen, Sita H, Aben, Katja K, Galesloot, Tessel E, Thorleifsson, Gudmar, Sulem, Patrick, Stefansson, Kari, Kiltie, Anne E, Harland, Mark, Teo, Mark, Offit, Kenneth, Vijai, Joseph, Bajorin, Dean, Kopp, Ryan, Fiorito, Giovanni, Guarrera, Simonetta, Sacerdote, Carlotta, Selinski, Silvia, Hengstler, Jan G, Gerullis, Holger, Ovsiannikov, Daniel, Blaszkewicz, Meinolf, Castelao, Jose Esteban, Calaza, Manuel, Martinez, Maria Elena, Cordeiro, Patricia, Xu, Zongli, Panduri, Vijayalakshmi, Kumar, Rajiv, Gurzau, Eugene, Koppova, Kvetoslava, Bueno-De-Mesquita, H Bas, Ljungberg, Börje, Clavel-Chapelon, Françoise, Weiderpass, Elisabete, Krogh, Vittorio, Dorronsoro, Miren, Travis, Ruth C, Tjønneland, Anne, Brennan, Paul, Chang-Claude, Jenny, Riboli, Elio, Conti, David, Stern, Marianna C, Pike, Malcolm C, Van Den Berg, David, Yuan, Jian-Min, Hohensee, Chancellor, Jeppson, Rebecca P, Cancel-Tassin, Geraldine, Roupret, Morgan, Comperat, Eva, Turman, Constance, De Vivo, Immaculata, Giovannucci, Edward, Hunter, David J, Kraft, Peter, Lindstrom, Sara, Carta, Angela, Pavanello, Sofia, Arici, Cecilia, Mastrangelo, Giuseppe, Kamat, Ashish M, Zhang, Liren, Gong, Yilei, Pu, Xia, Hutchinson, Amy, Burdett, Laurie, Wheeler, William A, and Karagas, Margaret R

Subjects
Cancer, Prevention, Human Genome, Genetics, Biotechnology, Urologic Diseases, Aetiology, 2.1 Biological and endogenous factors, Biomarkers, Tumor, Case-Control Studies, Chromosomes, Human, Pair 13, Chromosomes, Human, Pair 20, Female, Genetic Association Studies, Genetic Predisposition to Disease, Genome-Wide Association Study, Humans, Linkage Disequilibrium, Male, Polymorphism, Single Nucleotide, Risk Factors, Urinary Bladder Neoplasms, White People, Biological Sciences, Medical and Health Sciences, Genetics & Heredity
Abstract

Candidate gene and genome-wide association studies (GWAS) have identified 15 independent genomic regions associated with bladder cancer risk. In search for additional susceptibility variants, we followed up on four promising single-nucleotide polymorphisms (SNPs) that had not achieved genome-wide significance in 6911 cases and 11 814 controls (rs6104690, rs4510656, rs5003154 and rs4907479, P < 1 × 10(-6)), using additional data from existing GWAS datasets and targeted genotyping for studies that did not have GWAS data. In a combined analysis, which included data on up to 15 058 cases and 286 270 controls, two SNPs achieved genome-wide statistical significance: rs6104690 in a gene desert at 20p12.2 (P = 2.19 × 10(-11)) and rs4907479 within the MCF2L gene at 13q34 (P = 3.3 × 10(-10)). Imputation and fine-mapping analyses were performed in these two regions for a subset of 5551 bladder cancer cases and 10 242 controls. Analyses at the 13q34 region suggest a single signal marked by rs4907479. In contrast, we detected two signals in the 20p12.2 region-the first signal is marked by rs6104690, and the second signal is marked by two moderately correlated SNPs (r(2) = 0.53), rs6108803 and the previously reported rs62185668. The second 20p12.2 signal is more strongly associated with the risk of muscle-invasive (T2-T4 stage) compared with non-muscle-invasive (Ta, T1 stage) bladder cancer (case-case P ≤ 0.02 for both rs62185668 and rs6108803). Functional analyses are needed to explore the biological mechanisms underlying these novel genetic associations with risk for bladder cancer.

Published
2016

17. methscore: a comprehensive R function for DNA methylation-based health predictors.

Author

Xu, Zongli, Niu, Liang, Kresovich, Jacob K, and Taylor, Jack A

Subjects
*DNA methylation, *DNA, *AGE, *BLOOD proteins, *INTERNET servers
Abstract

Motivation DNA methylation-based predictors of various biological metrics have been widely published and are becoming valuable tools in epidemiologic studies of epigenetics and personalized medicine. However, generating these predictors from original source software and web servers is complex and time consuming. Furthermore, different predictors were often derived based on data from different types of arrays, where array differences and batch effects can make predictors difficult to compare across studies. Results We integrate these published methods into a single R function to produce 158 previously published predictors for chronological age, biological age, exposures, lifestyle traits and serum protein levels using both classical and principal component-based methods. To mitigate batch and array differences, we also provide a modified RCP method (ref-RCP) that normalize input DNA methylation data to reference data prior to estimation. Evaluations in real datasets show that this approach improves estimate precision and comparability across studies. Availability and implementation The function was included in software package ENmix, and is freely available from Bioconductor website (https://www.bioconductor.org/packages/release/bioc/html/ENmix.html). [ABSTRACT FROM AUTHOR]

Published
2024
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18. Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use

Author

Fang, Fang, primary, Quach, Bryan, additional, Lawrence, Kaitlyn G., additional, van Dongen, Jenny, additional, Marks, Jesse A., additional, Lundgren, Sara, additional, Lin, Mingkuan, additional, Odintsova, Veronika V., additional, Costeira, Ricardo, additional, Xu, Zongli, additional, Zhou, Linran, additional, Mandal, Meisha, additional, Xia, Yujing, additional, Vink, Jacqueline M., additional, Bierut, Laura J., additional, Ollikainen, Miina, additional, Taylor, Jack A., additional, Bell, Jordana T., additional, Kaprio, Jaakko, additional, Boomsma, Dorret I., additional, Xu, Ke, additional, Sandler, Dale P., additional, Hancock, Dana B., additional, and Johnson, Eric O., additional

Published
2023
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21. Intermediate and long-term exposure to air pollution and temperature and the extracellular microRNA profile of participants in the normative aging study (NAS)

Author

Danesh Yazdi, Mahdieh, primary, Nassan, Feiby L., additional, Kosheleva, Anna, additional, Wang, Cuicui, additional, Xu, Zongli, additional, Di, Qian, additional, Requia, Weeberb J., additional, Comfort, Nicole T., additional, Wu, Haotian, additional, Laurent, Louise C., additional, DeHoff, Peter, additional, Vokonas, Pantel, additional, Baccarelli, Andrea A., additional, and Schwartz, Joel D., additional

Published
2023
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25. Long-term exposure to ambient fine particulate components and leukocyte epigenome-wide DNA Methylation in older men:the Normative Aging Study

Author

Wang, Cuicui, Amini, Heresh, Xu, Zongli, Peralta, Adjani A., Yazdi, Mahdieh Danesh, Qiu, Xinye, Wei, Yaguang, Just, Allan, Heiss, Jonathan, Hou, Lifang, Zheng, Yinan, Coull, Brent A., Kosheleva, Anna, Baccarelli, Andrea A., Schwartz, Joel D., Wang, Cuicui, Amini, Heresh, Xu, Zongli, Peralta, Adjani A., Yazdi, Mahdieh Danesh, Qiu, Xinye, Wei, Yaguang, Just, Allan, Heiss, Jonathan, Hou, Lifang, Zheng, Yinan, Coull, Brent A., Kosheleva, Anna, Baccarelli, Andrea A., and Schwartz, Joel D.

Abstract

Background Epigenome-wide association studies of ambient fine particulate matter (PM2.5) have been reported. However, few have examined PM2.5 components (PMCs) and sources or included repeated measures. The lack of high-resolution exposure measurements is the key limitation. We hypothesized that significant changes in DNA methylation might vary by PMCs and the sources. Methods We predicted the annual average of 14 PMCs using novel high-resolution exposure models across the contiguous U.S., between 2000–2018. The resolution was 50 m × 50 m in the Greater Boston Area. We also identified PM2.5 sources using positive matrix factorization. We repeatedly collected blood samples and measured leukocyte DNAm with the Illumina HumanMethylation450K BeadChip in the Normative Aging Study. We then used median regression with subject-specific intercepts to estimate the associations between long-term (one-year) exposure to PMCs / PM2.5 sources and DNA methylation at individual cytosine-phosphate-guanine CpG sites. Significant probes were identified by the number of independent degrees of freedom approach, using the number of principal components explaining > 95% of the variation of the DNA methylation data. We also performed regional and pathway analyses to identify significant regions and pathways. Results We included 669 men with 1,178 visits between 2000–2013. The subjects had a mean age of 75 years. The identified probes, regions, and pathways varied by PMCs and their sources. For example, iron was associated with 6 probes and 6 regions, whereas nitrate was associated with 15 probes and 3 regions. The identified pathways from biomass burning, coal burning, and heavy fuel oil combustion sources were associated with cancer, inflammation, and cardiovascular diseases, whereas there were no pathways associated with all traffic. Conclusions Our findings showed that the effects of PM2.5 on DNAm varied by its PMCs and sources. Peer, Background: Epigenome-wide association studies of ambient fine particulate matter (PM2.5) have been reported. However, few have examined PM2.5 components (PMCs) and sources or included repeated measures. The lack of high-resolution exposure measurements is the key limitation. We hypothesized that significant changes in DNA methylation might vary by PMCs and the sources. Methods: We predicted the annual average of 14 PMCs using novel high-resolution exposure models across the contiguous U.S., between 2000–2018. The resolution was 50 m × 50 m in the Greater Boston Area. We also identified PM2.5 sources using positive matrix factorization. We repeatedly collected blood samples and measured leukocyte DNAm with the Illumina HumanMethylation450K BeadChip in the Normative Aging Study. We then used median regression with subject-specific intercepts to estimate the associations between long-term (one-year) exposure to PMCs / PM2.5 sources and DNA methylation at individual cytosine-phosphate-guanine CpG sites. Significant probes were identified by the number of independent degrees of freedom approach, using the number of principal components explaining > 95% of the variation of the DNA methylation data. We also performed regional and pathway analyses to identify significant regions and pathways. Results: We included 669 men with 1,178 visits between 2000–2013. The subjects had a mean age of 75 years. The identified probes, regions, and pathways varied by PMCs and their sources. For example, iron was associated with 6 probes and 6 regions, whereas nitrate was associated with 15 probes and 3 regions. The identified pathways from biomass burning, coal burning, and heavy fuel oil combustion sources were associated with cancer, inflammation, and cardiovascular diseases, whereas there were no pathways associated with all traffic. Conclusions: Our findings showed that the effects of PM2.5 on DNAm varied by its PMCs and sou

Published
2023

28. Short-term air pollution and temperature exposure and changes in the extracellular microRNA profile of Normative Aging Study (NAS) participants

Author

Danesh Yazdi, Mahdieh, primary, Nassan, Feiby L., additional, Kosheleva, Anna, additional, Wang, Cuicui, additional, Xu, Zongli, additional, Di, Qian, additional, Requia, Weeberb J, additional, Comfort, Nicole T., additional, Wu, Haotian, additional, Laurent, Louise C., additional, DeHoff, Peter, additional, Vokonas, Pantel, additional, Baccarelli, Andrea A., additional, and Schwartz, Joel D., additional

Published
2023
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29. Epigenome-wide DNA methylation in leukocytes and toenail metals: The normative aging study

Author

Wang, Cuicui, primary, Xu, Zongli, additional, Qiu, Xinye, additional, Wei, Yaguang, additional, Peralta, Adjani A., additional, Yazdi, Mahdieh Danesh, additional, Jin, Tingfan, additional, Li, Wenyuan, additional, Just, Allan, additional, Heiss, Jonathan, additional, Hou, Lifang, additional, Zheng, Yinan, additional, Coull, Brent A., additional, Kosheleva, Anna, additional, Sparrow, David, additional, Amarasiriwardena, Chitra, additional, Wright, Robert O., additional, Baccarelli, Andrea A., additional, and Schwartz, Joel D., additional

Published
2023
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30. Trans-ancestry epigenome-wide association meta-analysis of DNA methylation with lifetime cannabis use

Author

Fang, Fang, primary, Quach, Bryan, additional, Lawrence, Kaitlyn G., additional, van Dongen, Jenny, additional, Marks, Jesse A., additional, Lundgren, Sara, additional, Lin, Mingkuan, additional, Odintsova, Veronika V., additional, Costeira, Ricardo, additional, Xu, Zongli, additional, Zhou, Linran, additional, Mandal, Meisha, additional, Xia, Yujing, additional, Vink, Jacqueline M., additional, Bierut, Laura J, additional, Ollikainen, Miina, additional, Taylor, Jack A., additional, Bell, Jordana T., additional, Kaprio, Jaakko, additional, Boomsma, Dorret I., additional, Xu, Ke, additional, Sandler, Dale P., additional, Hancock, Dana B., additional, and Johnson, Eric O., additional

Published
2022
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31. Long-term exposure to ambient fine particulate elements and leukocyte epigenome-wide DNA Methylation in older men: the Normative Aging Study

Author

Wang, Cuicui, primary, Xu, Zongli, additional, Qiu, Xinye, additional, Amini, Heresh, additional, Wei, Yaguang, additional, Just, Allan, additional, Heiss, Jonathan, additional, Hou, Lifang, additional, Zheng, Yinan, additional, Count, Brent, additional, Kosheleva, Anna, additional, Koutrakis, Petros, additional, Baccarelli, Andrea, additional, and Schwartz, Joel, additional

Published
2022
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32. Cohort Profile: Pregnancy And Childhood Epigenetics (PACE) Consortium

Author

Felix, Janine F, Joubert, Bonnie R, Baccarelli, Andrea A, Sharp, Gemma C, Almqvist, Catarina, Annesi-Maesano, Isabella, Arshad, Hasan, Baïz, Nour, Bakermans-Kranenburg, Marian J, Bakulski, Kelly M, Binder, Elisabeth B, Bouchard, Luigi, Breton, Carrie V, Brunekreef, Bert, Brunst, Kelly J, Burchard, Esteban G, Bustamante, Mariona, Chatzi, Leda, Cheng Munthe-Kaas, Monica, Corpeleijn, Eva, Czamara, Darina, Dabelea, Dana, Davey Smith, George, De Boever, Patrick, Duijts, Liesbeth, Dwyer, Terence, Eng, Celeste, Eskenazi, Brenda, Everson, Todd M, Falahi, Fahimeh, Fallin, M Daniele, Farchi, Sara, Fernandez, Mariana F, Gao, Lu, Gaunt, Tom R, Ghantous, Akram, Gillman, Matthew W, Gonseth, Semira, Grote, Veit, Gruzieva, Olena, Håberg, Siri E, Herceg, Zdenko, Hivert, Marie-France, Holland, Nina, Holloway, John W, Hoyo, Cathrine, Hu, Donglei, Huang, Rae-Chi, Huen, Karen, Järvelin, Marjo-Riitta, Jima, Dereje D, Just, Allan C, Karagas, Margaret R, Karlsson, Robert, Karmaus, Wilfried, Kechris, Katerina J, Kere, Juha, Kogevinas, Manolis, Koletzko, Berthold, Koppelman, Gerard H, Küpers, Leanne K, Ladd-Acosta, Christine, Lahti, Jari, Lambrechts, Nathalie, Langie, Sabine AS, Lie, Rolv T, Liu, Andrew H, Magnus, Maria C, Magnus, Per, Maguire, Rachel L, Marsit, Carmen J, McArdle, Wendy, Melén, Erik, Melton, Phillip, Murphy, Susan K, Nawrot, Tim S, Nisticò, Lorenza, Nohr, Ellen A, Nordlund, Björn, Nystad, Wenche, Oh, Sam S, Oken, Emily, Page, Christian M, Perron, Patrice, Pershagen, Göran, Pizzi, Costanza, Plusquin, Michelle, Raikkonen, Katri, Reese, Sarah E, Reischl, Eva, Richiardi, Lorenzo, Ring, Susan, Roy, Ritu P, Rzehak, Peter, Schoeters, Greet, Schwartz, David A, Sebert, Sylvain, Snieder, Harold, Sørensen, Thorkild IA, Starling, Anne P, Sunyer, Jordi, Taylor, Jack A, Tiemeier, Henning, Ullemar, Vilhelmina, Vafeiadi, Marina, Van Ijzendoorn, Marinus H, Vonk, Judith M, Vriens, Annette, Vrijheid, Martine, Wang, Pei, Wiemels, Joseph L, Wilcox, Allen J, Wright, Rosalind J, Xu, Cheng-Jian, Xu, Zongli, Yang, Ivana V, Yousefi, Paul, Zhang, Hongmei, Zhang, Weiming, Zhao, Shanshan, Agha, Golareh, Relton, Caroline L, Jaddoe, Vincent WV, and London, Stephanie J

Published
2018
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34. Genome-Wide Association Analysis of the Sense of Smell in U.S. Older Adults: Identification of Novel Risk Loci in African-Americans and European-Americans

Author

Dong, Jing, Wyss, Annah, Yang, Jingyun, Price, T. Ryan, Nicolas, Aude, Nalls, Michael, Tranah, Greg, Franceschini, Nora, Xu, Zongli, Schulte, Claudia, Alonso, Alvaro, Cummings, Steven R., Fornage, Myriam, Zaykin, Dmitri, Li, Leping, Huang, Xuemei, Kritchevsky, Stephen, Liu, Yongmei, Gasser, Thomas, Wilson, Robert S., De Jager, Philip L., Singleton, Andrew B., Pinto, Jayant M., Harris, Tamara, Mosley, Jr., Thomas H., Bennett, David A., London, Stephanie, Yu, Lei, and Chen, Honglei

Published
2016
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37. META-ANALYSIS

Author

ZHOU, XUYU, primary, FANG, JIQIAN, additional, YU, CHUANHUA, additional, XU, ZONGLI, additional, TIAN, LU, additional, and LU, YING, additional

Published
2015
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41. Additional file 1 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 1. Individual cohort descriptions and acknowledgements.

Published
2021
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42. Additional file 5 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 5. Colocalization plots.

Published
2021
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44. Additional file 6 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 6. Review history.

Published
2021
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45. Additional file 4 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 4. Assessment of genomic inflation and heterogeneity.

Published
2021
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46. Additional file 3 of Genome-wide association studies identify 137 genetic loci for DNA methylation biomarkers of aging

Author

McCartney, Daniel L., Min, Josine L., Richmond, Rebecca C., Lu, Ake T., Sobczyk, Maria K., Davies, Gail, Broer, Linda, Guo, Xiuqing, Jeong, Ayoung, Jung, Jeesun, Kasela, Silva, Katrinli, Seyma, Kuo, Pei-Lun, Matias-Garcia, Pamela R., Mishra, Pashupati P., Nygaard, Marianne, Palviainen, Teemu, Patki, Amit, Raffield, Laura M., Ratliff, Scott M., Richardson, Tom G., Robinson, Oliver, Soerensen, Mette, Sun, Dianjianyi, Tsai, Pei-Chien, van der Zee, Matthijs D., Walker, Rosie M., Wang, Xiaochuan, Wang, Yunzhang, Xia, Rui, Xu, Zongli, Yao, Jie, Zhao, Wei, Correa, Adolfo, Boerwinkle, Eric, Dugué, Pierre-Antoine, Durda, Peter, Elliott, Hannah R., Gieger, Christian, de Geus, Eco J. C., Harris, Sarah E., Hemani, Gibran, Imboden, Medea, Kähönen, Mika, Kardia, Sharon L. R., Kresovich, Jacob K., Li, Shengxu, Lunetta, Kathryn L., Mangino, Massimo, Mason, Dan, McIntosh, Andrew M., Mengel-From, Jonas, Moore, Ann Zenobia, Murabito, Joanne M., Ollikainen, Miina, Pankow, James S., Pedersen, Nancy L., Peters, Annette, Polidoro, Silvia, Porteous, David J., Raitakari, Olli, Rich, Stephen S., Sandler, Dale P., Sillanpää, Elina, Smith, Alicia K., Southey, Melissa C., Strauch, Konstantin, Tiwari, Hemant, Tanaka, Toshiko, Tillin, Therese, Uitterlinden, Andre G., Van Den Berg, David J., van Dongen, Jenny, Wilson, James G., Wright, John, Yet, Idil, Arnett, Donna, Bandinelli, Stefania, Bell, Jordana T., Binder, Alexandra M., Boomsma, Dorret I., Chen, Wei, Christensen, Kaare, Conneely, Karen N., Elliott, Paul, Ferrucci, Luigi, Fornage, Myriam, Hägg, Sara, Hayward, Caroline, Irvin, Marguerite, Kaprio, Jaakko, Lawlor, Deborah A., Lehtimäki, Terho, Lohoff, Falk W., Milani, Lili, Milne, Roger L., Probst-Hensch, Nicole, Reiner, Alex P., Ritz, Beate, Rotter, Jerome I., Smith, Jennifer A., Taylor, Jack A., van Meurs, Joyce B. J., Vineis, Paolo, Waldenberger, Melanie, Deary, Ian J., Relton, Caroline L., Horvath, Steve, and Marioni, Riccardo E.

Abstract

Additional file 3. Supplementary Figures - Figures S1-S31.

Published
2021
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