Группа авторов

Genetic Disorders and the Fetus


Скачать книгу

Novakovic B, Saffery R. Placental pseudo‐malignancy from a DNA methylation perspective: unanswered questions and future directions. Front Genet 2013; 4.

      162 162. Price EM, Cotton AM, Peñaherrera MS, et al. Different measures of “genome‐wide” DNA methylation exhibit unique properties in placental and somatic tissues. Epigenetics 2012; 7:652.

      163 163. Cotton AM, Avila L, Penaherrera MS, et al. Inactive X chromosome‐specific reduction in placental DNA methylation. Hum Mol Genet 2009; 18:3544.

      164 164. Blair JD, Yuen RK, Lim BK, et al. Widespread DNA hypomethylation at gene enhancer regions in placentas associated with early‐onset pre‐eclampsia. Mol Hum Reprod 2013; 19:697.

      165 165. Chu T, Bunce K, Shaw P, et al. Comprehensive analysis of preeclampsia‐associated DNA methylation in the placenta. PLoS One 2014; 9:e107318.

      166 166. Anton L, Brown AG, Bartolomei MS, et al. Differential methylation of genes associated with cell adhesion in preeclamptic placentas. PLoS One 2014; 9:e100148.

      167 167. Jia R, Zhang X, Hu P, et al. Screening for differential methylation status in human placenta in preeclampsia using a CpG island plus promoter microarray. Int J Mol Med 2012; 30:133.

      168 168. Wilson SL, Leavey K, Cox BJ, et al. Mining DNA methylation alterations towards a classification of placental pathologies. Hum Mol Genet 2017; 27:135.

      169 169. Lee Y, Choufani S, Weksberg R, et al. Placental epigenetic clocks: estimating gestational age using placental DNA methylation levels. Aging (Albany NY) 2019; 11:4238.

      170 170. Bourque D, Penaherrera M, Yuen R, et al. The utility of quantitative methylation assays at imprinted genes for the diagnosis of fetal and placental disorders. Clin Genet 2011; 79:169.

      171 171. Monk D, Sanches R, Arnaud P, et al. Imprinting of IGF2 P0 transcript and novel alternatively spliced INS‐IGF2 isoforms show differences between mouse and human. Hum Mol Genet 2006; 15:1259.

      172 172. Yuen RK, Jiang R, Peñaherrera MS, et al. Genome‐wide mapping of imprinted differentially methylated regions by DNA methylation profiling of human placentas from triploidies. Epigenetics Chromatin 2011; 4:10.

      173 173. Penaherrera MS, Jiang R, Avila L, et al. Patterns of placental development evaluated by X chromosome inactivation profiling provide a basis to evaluate the origin of epigenetic variation. Hum Reprod 2012; 27:1745.

      174 174. de Mello, Joana Carvalho Moreira, et al. Random X inactivation and extensive mosaicism in human placenta revealed by analysis of allele‐specific gene expression along the X chromosome. PloS One 2010; 5:e10947.

      175 175. Yuen R, Robinson W. Review: a high capacity of the human placenta for genetic and epigenetic variation: implications for assessing pregnancy outcome. Placenta 2011; 32:S136.

      176 176. Sibley CP, Brownbill P, Dilworth M, et al. Adaptation in placental nutrient supply to meet fetal growth demand: implications for programming. Placenta 2010; 31:S70.

      177 177. Lunney L. Compensatory placental growth after restricted maternal nutrition in early pregnancy. Placenta 1998; 19:105.

      178 178. Anblagan D, Jones NW, Costigan C, et al. Maternal smoking during pregnancy and fetal organ growth: a magnetic resonance imaging study. PLoS One 2013; 8:e67223.

      179 179. Christianson RE. Gross differences observed in the placentas of smokers and nonsmokers. Am J Epidemiol 1979; 110:178.

      180 180. Tegethoff M, Greene N, Olsen J, et al. Maternal psychosocial stress during pregnancy and placenta weight: evidence from a national cohort study. PLoS One 2010; 5:e14478.

      181 181. Hindmarsh P, Geary M, Rodeck C, et al. Effect of early maternal iron stores on placental weight and structure. Lancet 2000; 356:719.

      182 182. Liang L, Cookson WO. Grasping nettles: cellular heterogeneity and other confounders in epigenome‐wide association studies. Hum Mol Genet 2014; 23:R83.

      183 183. Shallie PD, Naicker T. The placenta as a window to the brain: A review on the role of placental markers in prenatal programming of neurodevelopment. Int J Dev Neurosci 2019; 73:41.

      184 184. Straughen JK, Misra DP, Divine G, et al. The association between placental histopathology and autism spectrum disorder. Placenta 2017; 57:183.

      185 185. Kratimenos P, Penn AA. Placental programming of neuropsychiatric disease. Pediatr Res 2019: 1.

      186 186. Wheelock M, Hect J, Hernandez‐Andrade E, et al. Sex differences in functional connectivity during fetal brain development. Dev Cogn Neurosci 2019; 36:100632.

      187 187. Ursini G, Punzi G, Chen Q, et al. Convergence of placenta biology and genetic risk for schizophrenia. Nat Med 2018; 24:792.

      188 188. Courtney JA, Cnota JF, Jones HN. The role of abnormal placentation in congenital heart disease; cause, correlate, or consequence? Front Physiol 2018; 9:1045.

      Конец ознакомительного фрагмента.

      Текст предоставлен ООО «ЛитРес».

      Прочитайте эту книгу целиком, купив полную легальную версию на ЛитРес.

      Безопасно оплатить книгу можно банковской картой Visa, MasterCard, Maestro, со счета мобильного телефона, с платежного терминала, в салоне МТС или Связной, через PayPal, WebMoney, Яндекс.Деньги, QIWI Кошелек, бонусными картами или другим удобным Вам способом.

/9j/4AAQSkZJRgABAQEBLAEsAAD/7SSQUGhvdG9zaG9wIDMuMAA4QklNBAQAAAAAABkcAgAAAgAA HAIFAA05NzgxMTE5Njc2OTM1ADhCSU0EJQAAAAAAEEgInbHM5Dn6pWujsj5IIcI4QklNBDoAAAAA AQcAAAAQAAAAAQAAAAAAC3ByaW50T3V0cHV0AAAABQAAAABQc3RTYm9vbAEAAAAASW50ZWVudW0A AAAASW50ZQAAAABDbHJtAAAAD3ByaW50U2l4dGVlbkJpdGJvb2wAAAAAC3ByaW50ZXJOYW1lVEVY VAAAABIAUAByAGkAbgB0ACAAdABvACAARQB2AGUAcgBuAG8AdABlAAAAAAAPcHJpbnRQcm9vZlNl dHVwT2JqYwAAAAwAUAByAG8AbwBmACAAUwBlAHQAdQBwAAAAAAAKcHJvb2ZTZXR1cAAAAAEAAAAA Qmx0bmVudW0AAAAMYnVpbHRpblByb29mAAAACXByb29mQ01ZSwA4QklNBDsAAAAAAi0AAAAQAAAA AQAAAAAAEnByaW50T3V0cHV0T3B0aW9ucwAAABcAAAAAQ3B0bmJvb2wAAAAAAENsYnJib29sAAAA AABSZ3NNYm9vbAAAAAAAQ3JuQ2Jvb2wAAAAAAENudENib29sAAAAAABMYmxzYm9vbAAAAAAATmd0 dmJvb2wAAAAAAEVtbERib29sAAAAAABJbnRyYm9vbAAAAAAAQmNrZ09iamMAAAABAAAAAAAAUkdC QwAAAAMAAAAAUmQgIGRvdWJAb+AAAAAAAAAAAABHcm4gZG91YkBv4AAAAAAAAAAAAEJsICBkb3Vi QG/gAAAAAAAAAAAAQnJkVFVudEYjUmx0AAAAAAAAAAAAAAAAQmxkIFVudEYjUmx0AAAAAAAAAAAA AAAAUnNsdFVudEYjUHhsQHLAAAAAAAAAAAAKdmVjdG9yRGF0YWJvb2wBAAAAAFBnUHNlbnVtAAAA AFBnUHMAAAAAUGdQQwAAAABMZWZ0VW50RiNSbHQAAAAAAAAAAAAAAABUb3AgVW50RiNSbHQAAAAA AAAAAAAAAABTY2wgVW50RiNQcmNAWQAAAAAAAAAAABBjcm9wV2hlblByaW50aW5nYm9vbAAAAAAO Y3JvcFJlY3RCb3R0b21sb25nAAAAAAAAAAxjcm9wUmVjdExlZnRsb25nAAAAAAAAAA1jcm9wUmVj dFJpZ2h0bG9uZwAAAAAAAAALY3JvcFJlY3RUb3Bsb25nAAAAAAA4QklNA+0AAAAAABABLAAAAAEA AQEsAAAAAQABOEJJTQQmAAAAAAAOAAAAAAAAAAAAAD+AAAA4QklNBA0AAAAAAAQAAABaOEJJTQQZ AAAAAAAEAAAAHjhCSU0D8wAAAAAACQAAAAAAAAAAAQA4QklNJxAAAAAAAAoAAQAAAAAAAAABOEJJ TQP1AAAAAABIAC9mZgABAGxmZgAGAAAAAAABAC9mZgABAKGZmgAGAAAAAAABADIAAAABAFoAAAAG AAAAAAABADUAAAABAC0AAAAGAAAAAAABOEJJTQP4AAAAAABwAAD///////////////////////// ////A+gAAAAA/////////////////////////////wPoAAAAAP////////////////////////// //8D6AAAAAD/////////////////////////////A+gAADhCSU0ECAAAAAAAEAAAAAEAAAJAAAAC QAAAAAA4QklNBB4AAAAAAAQAAAAAOEJJTQQaAAAAAANPAAAABgAAAAAAAAAAAAAMCQAACHAAAAAN ADkANwA4ADEAMQAxADkANgA3ADYAOQAzADUAAAABAAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAA AAAACHAAAAwJAAAAAAAAAAAAAAAAAAAAAAEAAAAAAAAAAAAAAAAAAAAAAAAAEAAAAAEAAAAAAABu dWxsAAAAAgAAAAZib3VuZHNPYmpjAAAAAQAAAAAAAFJjdDEAAAAEAAAAAFRvcCBsb25nAAAAAAAA AABMZWZ0bG9uZwAAAAAAAAAAQnRvbWxvbmcAAAwJAAAAAFJnaHRsb25nAAAIcAAAAAZzbGljZXNW bExzAAAAAU9iamMAAAABAAAAAAAFc2xpY2UAAAASAAAAB3NsaWNlSURsb25nAAAAAAAAAAdncm91 cElEbG9uZwAAAAAAAAAGb3JpZ2luZW51bQAAAAxFU2xpY2VPcmlnaW4AAAANYXV0b0dlbmVyYXRl ZAAAAABUeXBlZW51bQAAAApFU2xpY2VUeXBlAAAAAEltZyAAAAAGYm91bmRzT2JqYwAAAAEAAAAA AABSY3QxAAAABAAAAABUb3AgbG9uZwAAAAAAAAAATGVmdGxvbmcAAAAAAAAAAEJ0b21sb25nAAAM CQAAAABSZ2h0bG9uZwAACHAAAAADdXJsVEVYVAAAAAEAAAAAAABudWxsVEVYVAAAAAEAAAAAAABN c2dl