Browsing by Author "Wiemels, Joseph L"
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Item Open Access Analysis of DNA methylation at birth and in childhood reveals changes associated with season of birth and latitude.(Clinical epigenetics, 2023-09) Kadalayil, Latha; Alam, Md Zahangir; White, Cory Haley; Ghantous, Akram; Walton, Esther; Gruzieva, Olena; Merid, Simon Kebede; Kumar, Ashish; Roy, Ritu P; Solomon, Olivia; Huen, Karen; Eskenazi, Brenda; Rzehak, Peter; Grote, Veit; Langhendries, Jean-Paul; Verduci, Elvira; Ferre, Natalia; Gruszfeld, Darek; Gao, Lu; Guan, Weihua; Zeng, Xuehuo; Schisterman, Enrique F; Dou, John F; Bakulski, Kelly M; Feinberg, Jason I; Soomro, Munawar Hussain; Pesce, Giancarlo; Baiz, Nour; Isaevska, Elena; Plusquin, Michelle; Vafeiadi, Marina; Roumeliotaki, Theano; Langie, Sabine AS; Standaert, Arnout; Allard, Catherine; Perron, Patrice; Bouchard, Luigi; van Meel, Evelien R; Felix, Janine F; Jaddoe, Vincent WV; Yousefi, Paul D; Ramlau-Hansen, Cecilia H; Relton, Caroline L; Tobi, Elmar W; Starling, Anne P; Yang, Ivana V; Llambrich, Maria; Santorelli, Gillian; Lepeule, Johanna; Salas, Lucas A; Bustamante, Mariona; Ewart, Susan L; Zhang, Hongmei; Karmaus, Wilfried; Röder, Stefan; Zenclussen, Ana Claudia; Jin, Jianping; Nystad, Wenche; Page, Christian M; Magnus, Maria; Jima, Dereje D; Hoyo, Cathrine; Maguire, Rachel L; Kvist, Tuomas; Czamara, Darina; Räikkönen, Katri; Gong, Tong; Ullemar, Vilhelmina; Rifas-Shiman, Sheryl L; Oken, Emily; Almqvist, Catarina; Karlsson, Robert; Lahti, Jari; Murphy, Susan K; Håberg, Siri E; London, Stephanie; Herberth, Gunda; Arshad, Hasan; Sunyer, Jordi; Grazuleviciene, Regina; Dabelea, Dana; Steegers-Theunissen, Régine PM; Nohr, Ellen A; Sørensen, Thorkild IA; Duijts, Liesbeth; Hivert, Marie-France; Nelen, Vera; Popovic, Maja; Kogevinas, Manolis; Nawrot, Tim S; Herceg, Zdenko; Annesi-Maesano, Isabella; Fallin, M Daniele; Yeung, Edwina; Breton, Carrie V; Koletzko, Berthold; Holland, Nina; Wiemels, Joseph L; Melén, Erik; Sharp, Gemma C; Silver, Matt J; Rezwan, Faisal I; Holloway, John WBackground
Seasonal variations in environmental exposures at birth or during gestation are associated with numerous adult traits and health outcomes later in life. Whether DNA methylation (DNAm) plays a role in the molecular mechanisms underlying the associations between birth season and lifelong phenotypes remains unclear.Methods
We carried out epigenome-wide meta-analyses within the Pregnancy And Childhood Epigenetic Consortium to identify associations of DNAm with birth season, both at differentially methylated probes (DMPs) and regions (DMRs). Associations were examined at two time points: at birth (21 cohorts, N = 9358) and in children aged 1-11 years (12 cohorts, N = 3610). We conducted meta-analyses to assess the impact of latitude on birth season-specific associations at both time points.Results
We identified associations between birth season and DNAm (False Discovery Rate-adjusted p values < 0.05) at two CpGs at birth (winter-born) and four in the childhood (summer-born) analyses when compared to children born in autumn. Furthermore, we identified twenty-six differentially methylated regions (DMR) at birth (winter-born: 8, spring-born: 15, summer-born: 3) and thirty-two in childhood (winter-born: 12, spring and summer: 10 each) meta-analyses with few overlapping DMRs between the birth seasons or the two time points. The DMRs were associated with genes of known functions in tumorigenesis, psychiatric/neurological disorders, inflammation, or immunity, amongst others. Latitude-stratified meta-analyses [higher (≥ 50°N), lower (< 50°N, northern hemisphere only)] revealed differences in associations between birth season and DNAm by birth latitude. DMR analysis implicated genes with previously reported links to schizophrenia (LAX1), skin disorders (PSORS1C, LTB4R), and airway inflammation including asthma (LTB4R), present only at birth in the higher latitudes (≥ 50°N).Conclusions
In this large epigenome-wide meta-analysis study, we provide evidence for (i) associations between DNAm and season of birth that are unique for the seasons of the year (temporal effect) and (ii) latitude-dependent variations in the seasonal associations (spatial effect). DNAm could play a role in the molecular mechanisms underlying the effect of birth season on adult health outcomes.Item Open Access Clonal and microclonal mutational heterogeneity in high hyperdiploid acute lymphoblastic leukemia(Oncotarget, 2017-08-01) de Smith, Adam J; Ojha, Juhi; Francis, Stephen S; Sanders, Erica; Endicott, Alyson A; Hansen, Helen M; Smirnov, Ivan; Termuhlen, Amanda M; Walsh, Kyle M; Metayer, Catherine; Wiemels, Joseph LItem Open Access Genetic determinants of childhood and adult height associated with osteosarcoma risk.(Cancer, 2018-09) Zhang, Chenan; Morimoto, Libby M; de Smith, Adam J; Hansen, Helen M; Gonzalez-Maya, Julio; Endicott, Alyson A; Smirnov, Ivan V; Metayer, Catherine; Wei, Qingyi; Eward, William C; Wiemels, Joseph L; Walsh, Kyle MBACKGROUND:Although increased height has been associated with osteosarcoma risk in previous epidemiologic studies, to the authors' knowledge the relative contribution of stature during different developmental timepoints remains unclear. Furthermore, the question of how genetic determinants of height impact osteosarcoma etiology remains unexplored. Genetic variants associated with stature in previous genome-wide association studies may be biomarkers of osteosarcoma risk. METHODS:The authors tested the associations between osteosarcoma risk and polygenic scores for adult height (416 variants), childhood height (6 variants), and birth length (5 variants) in 864 osteosarcoma cases and 1879 controls of European ancestry. RESULTS:Each standard deviation increase in the polygenic score for adult height, corresponding to a 1.7-cm increase in stature, was found to be associated with a 1.10-fold increase in the risk of osteosarcoma (95% confidence interval [95% CI], 1.01-1.19; P =.027). Each standard deviation increase in the polygenic score for childhood height, corresponding to a 0.5-cm increase in stature, was associated with a 1.10-fold increase in the risk of osteosarcoma (95% CI, 1.01-1.20; P =.023). The polygenic score for birth length was not found to be associated with osteosarcoma risk (P =.11). When adult and childhood height scores were modeled together, they were found to be independently associated with osteosarcoma risk (P =.037 and P = .043, respectively). An expression quantitative trait locus for cartilage intermediate layer protein 2 (CILP2), rs8103992, was significantly associated with osteosarcoma risk after adjustment for multiple comparisons (odds ratio, 1.35; 95% CI, 1.16-1.56 [P = 7.93×10-5 and Padjusted =.034]). CONCLUSIONS:A genetic propensity for taller adult and childhood height attainments contributed independently to osteosarcoma risk in the current study data. These results suggest that the biological pathways affecting normal bone growth may be involved in osteosarcoma etiology.Item Open Access Maternal BMI at the start of pregnancy and offspring epigenome-wide DNA methylation: findings from the pregnancy and childhood epigenetics (PACE) consortium.(Hum Mol Genet, 2017-10-15) 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; Davey Smith, George; 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; Relton, Caroline LPre-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 (<0.2% per BMI unit (1 kg/m2), P < 1.06 × 10-7) methylation variation at 9,044 sites throughout the genome. Adjustment for estimated cell proportions greatly attenuated the number of significant CpGs to 104, including 86 sites common to the unadjusted model. At 72/86 sites, the direction of the association was the same in newborns and adolescents, suggesting persistence of signals. However, we found evidence for acausal intrauterine effect of maternal BMI on newborn methylation at just 8/86 sites. In conclusion, this well-powered analysis identified robust associations between maternal adiposity and variations in newborn blood DNA methylation, but these small effects may be better explained by genetic or lifestyle factors than a causal intrauterine mechanism. This highlights the need for large-scale collaborative approaches and the application of causal inference techniques in epigenetic epidemiology.Item Open Access Pleiotropic MLLT10 variation confers risk of meningioma and estrogen-mediated cancers.(Neuro-oncology advances, 2022-01) Walsh, Kyle M; Zhang, Chenan; Calvocoressi, Lisa; Hansen, Helen M; Berchuck, Andrew; Schildkraut, Joellen M; Bondy, Melissa L; Wrensch, Margaret; Wiemels, Joseph L; Claus, Elizabeth BBackground
Risk of tumors of the breast, ovary, and meninges has been associated with hormonal factors and with one another. Genome-wide association studies (GWAS) identified a meningioma risk locus on 10p12 near previous GWAS hits for breast and ovarian cancers, raising the possibility of genetic pleiotropy.Methods
We performed imputation-based fine-mapping in three case-control datasets of meningioma (927 cases, 790 controls), female breast cancer (28 108 cases, 22 209 controls), and ovarian cancer (25 509 cases, 40 941 controls). Analyses were stratified by sex (meningioma), estrogen receptor (ER) status (breast), and histotype (ovarian), then combined using subset-based meta-analysis in ASSET. Lead variants were assessed for association with additional traits in UK Biobank to identify potential effect-mediators.Results
Two-sided subset-based meta-analysis identified rs7084454, an expression quantitative trait locus (eQTL) near the MLLT10 promoter, as lead variant (5.7 × 10-14). The minor allele was associated with increased risk of meningioma in females (odds ratio (OR) = 1.42, 95% Confidence Interval (95%CI):1.20-1.69), but not males (OR = 1.19, 95%CI: 0.91-1.57). It was positively associated with ovarian (OR = 1.09, 95%CI:1.06-1.12) and ER+ breast (OR = 1.05, 95%CI: 1.02-1.08) cancers, and negatively associated with ER- breast cancer (OR = 0.91, 95%CI: 0.86-0.96). It was also associated with several adiposity traits (P < 5.0 × 10-8), but adjusting for body mass index did not attenuate its association with meningioma. MLLT10 and ESR1 expression were positively correlated in normal meninges (P = .058) and meningioma tumors (P = .0065).Conclusions
We identify a MLLT10 eQTL positively associated with risk of female meningioma, ER+ breast cancer, ovarian cancer, and obesity, and implicate a potential estrogenic mechanism underlying this pleiotropy.