Browsing by Author "Fallin, M Daniele"

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    ItemOpen 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 W

    Background

    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.
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    ItemOpen Access
    Heritability estimates of endophenotypes of long and health life: the Long Life Family Study.
    (J Gerontol A Biol Sci Med Sci, 2010-12) Matteini, Amy M; Fallin, M Daniele; Kammerer, Candace M; Schupf, Nicole; Yashin, Anatoli I; Christensen, Kaare; Arbeev, Konstantin G; Barr, Graham; Mayeux, Richard; Newman, Anne B; Walston, Jeremy D
    BACKGROUND: Identification of gene variants that contribute to exceptional survival may provide critical biologic information that informs optimal health across the life span. METHODS: As part of phenotype development efforts for the Long Life Family Study, endophenotypes that represent exceptional survival were identified and heritability estimates were calculated. Principal components (PCs) analysis was carried out using 28 physiologic measurements from five trait domains (cardiovascular, cognition, physical function, pulmonary, and metabolic). RESULTS: The five most dominant PCs accounted for 50% of underlying trait variance. The first PC (PC1), which consisted primarily of poor pulmonary and physical function, represented 14.3% of the total variance and had an estimated heritability of 39%. PC2 consisted of measures of good metabolic and cardiovascular function with an estimated heritability of 27%. PC3 was made up of cognitive measures (h(2) = 36%). PC4 and PC5 contained measures of blood pressure and cholesterol, respectively (h(2) = 25% and 16%). CONCLUSIONS: These PCs analysis-derived endophenotypes may be used in genetic association studies to help identify underlying genetic mechanisms that drive exceptional survival in this and other populations.
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    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 L
    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 (<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.
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    Maternal educational attainment in pregnancy and epigenome-wide DNA methylation changes in the offspring from birth until adolescence.
    (Molecular psychiatry, 2023-12) Choudhary, Priyanka; Monasso, Giulietta S; Karhunen, Ville; Ronkainen, Justiina; Mancano, Giulia; Howe, Caitlin G; Niu, Zhongzheng; Zeng, Xuehuo; Guan, Weihua; Dou, John; Feinberg, Jason I; Mordaunt, Charles; Pesce, Giancarlo; Baïz, Nour; Alfano, Rossella; Martens, Dries S; Wang, Congrong; Isaevska, Elena; Keikkala, Elina; Mustaniemi, Sanna; Thio, Chris HL; Fraszczyk, Eliza; Tobi, Elmar W; Starling, Anne P; Cosin-Tomas, Marta; Urquiza, Jose; Röder, Stefan; Hoang, Thanh T; Page, Christian; Jima, Dereje D; House, John S; Maguire, Rachel L; Ott, Raffael; Pawlow, Xenia; Sirignano, Lea; Zillich, Lea; Malmberg, Anni; Rauschert, Sebastian; Melton, Phillip; Gong, Tong; Karlsson, Robert; Fore, Ruby; Perng, Wei; Laubach, Zachary M; Czamara, Darina; Sharp, Gemma; Breton, Carrie V; Schisterman, Enrique; Yeung, Edwina; Mumford, Sunni L; Fallin, M Daniele; LaSalle, Janine M; Schmidt, Rebecca J; Bakulski, Kelly M; Annesi-Maesano, Isabella; Heude, Barbara; Nawrot, Tim S; Plusquin, Michelle; Ghantous, Akram; Herceg, Zdenko; Nisticò, Lorenza; Vafeiadi, Marina; Kogevinas, Manolis; Vääräsmäki, Marja; Kajantie, Eero; Snieder, Harold; Corpeleijn, Eva; Steegers-Theunissen, Regine PM; Yang, Ivana V; Dabelea, Dana; Fossati, Serena; Zenclussen, Ana C; Herberth, Gunda; Magnus, Maria; Håberg, Siri E; London, Stephanie J; Munthe-Kaas, Monica Cheng; Murphy, Susan K; Hoyo, Cathrine; Ziegler, Anette-G; Hummel, Sandra; Witt, Stephanie H; Streit, Fabian; Frank, Josef; Räikkönen, Katri; Lahti, Jari; Huang, Rae-Chi; Almqvist, Catarina; Hivert, Marie-France; Jaddoe, Vincent WV; Järvelin, Marjo-Riitta; Kantomaa, Marko; Felix, Janine F; Sebert, Sylvain
    Maternal educational attainment (MEA) shapes offspring health through multiple potential pathways. Differential DNA methylation may provide a mechanistic understanding of these long-term associations. We aimed to quantify the associations of MEA with offspring DNA methylation levels at birth, in childhood and in adolescence. Using 37 studies from high-income countries, we performed meta-analysis of epigenome-wide association studies (EWAS) to quantify the associations of completed years of MEA at the time of pregnancy with offspring DNA methylation levels at birth (n = 9 881), in childhood (n = 2 017), and adolescence (n = 2 740), adjusting for relevant covariates. MEA was found to be associated with DNA methylation at 473 cytosine-phosphate-guanine sites at birth, one in childhood, and four in adolescence. We observed enrichment for findings from previous EWAS on maternal folate, vitamin-B12 concentrations, maternal smoking, and pre-pregnancy BMI. The associations were directionally consistent with MEA being inversely associated with behaviours including smoking and BMI. Our findings form a bridge between socio-economic factors and biology and highlight potential pathways underlying effects of maternal education. The results broaden our understanding of bio-social associations linked to differential DNA methylation in multiple early stages of life. The data generated also offers an important resource to help a more precise understanding of the social determinants of health.