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A twin study of breastfeeding with a preliminary genome-wide association scan.
Colodro-Conde, Lucia; Zhu, Gu; Power, Robert A; Henders, Anjali; Heath, Andrew C; Madden, Pamela A F; Montgomery, Grant W; Medland, Sarah; Ordoñana, Juan R; Martin, Nicholas G.
Afiliação
  • Colodro-Conde L; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
  • Zhu G; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
  • Power RA; MRC Social Genetic & Developmental Psychiatry Centre,Institute of Psychiatry,King's College London,DeCrespigny Park,Denmark Hill,London,UK.
  • Henders A; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
  • Heath AC; School of Psychiatry,Washington University School of Medicine,St. Louis,MO,USA.
  • Madden PA; School of Psychiatry,Washington University School of Medicine,St. Louis,MO,USA.
  • Montgomery GW; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
  • Medland S; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
  • Ordoñana JR; Murcia Twin Registry,Department of Human Anatomy and Psychobiology,University of Murcia,IMIB-Arrixaca,Murcia,Spain.
  • Martin NG; QIMR Berghofer Medical Research Institute,Brisbane,Queensland,Australia.
Twin Res Hum Genet ; 18(1): 61-72, 2015 Feb.
Article em En | MEDLINE | ID: mdl-25475840
ABSTRACT
Breastfeeding has been an important survival trait during human history, though it has long been recognized that individuals differ in their exact breastfeeding behavior. Here our aims were, first, to explore to what extent genetic and environmental influences contributed to the individual differences in breastfeeding behavior; second, to detect possible genetic variants related to breastfeeding; and lastly, to test if the genetic variants associated with breastfeeding have been previously found to be related with breast size. Data were collected from a large community-based cohort of Australian twins, with 3,364 women participating in the twin modelling analyses and 1,521 of them included in the genome-wide association study (GWAS). Monozygotic (MZ) twin correlations (r MZ = 0.52, 95% CI 0.46-0.57) were larger than dizygotic (DZ) twin correlations (r DZ = 0.35, 95% CI 0.25-0.43) and the best-fitting model was the one composed by additive genetics and unique environmental factors, explaining 53% and 47% of the variance in breastfeeding behavior, respectively. No breastfeeding-related genetic variants reached genome-wide significance. The polygenic risk score analyses showed no significant results, suggesting breast size does not influence breastfeeding. This study confers a replication of a previous one exploring the sources of variance of breastfeeding and, to our knowledge, is the first one to conduct a GWAS on breastfeeding and look at the overlap with variants for breast size.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gêmeos Dizigóticos / Gêmeos Monozigóticos / Aleitamento Materno / Polimorfismo de Nucleotídeo Único Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Ano de publicação: 2015 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Gêmeos Dizigóticos / Gêmeos Monozigóticos / Aleitamento Materno / Polimorfismo de Nucleotídeo Único Tipo de estudo: Etiology_studies / Incidence_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Adult / Aged / Aged80 / Female / Humans / Male / Middle aged País/Região como assunto: Oceania Idioma: En Ano de publicação: 2015 Tipo de documento: Article