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, Ordonana, Juan R. and Martin, Nicholas G. (2015) A twin study of breastfeeding with a preliminary genome-wide association scan. Twin Research and Human Genetics, 18 1: 61-72. doi:10.1017/thg.2014.74

Author Colodro-Conde, Lucia
Zhu, Gu
Power, Robert A.
Henders, Anjali
Heath, Andrew C.
Madden, Pamela A. F.
Montgomery, Grant W.
Medland, Sarah
Ordonana, Juan R.
Martin, Nicholas G.
Title A twin study of breastfeeding with a preliminary genome-wide association scan
Journal name Twin Research and Human Genetics   Check publisher's open access policy
ISSN 1839-2628
Publication date 2015-02-11
Year available 2015
Sub-type Article (original research)
DOI 10.1017/thg.2014.74
Open Access Status Not yet assessed
Volume 18
Issue 1
Start page 61
End page 72
Total pages 12
Place of publication Cambridge, United Kingdom
Publisher Cambridge University Press
Language eng
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 (rMZ = 0.52, 95% CI 0.46–0.57) were larger than dizygotic (DZ) twin correlations (rDZ = 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.
Keyword Breastfeeding
Genome-wide association study
Twin study
Q-Index Code C1
Q-Index Status Provisional Code
Grant ID AA013320
Institutional Status Non-UQ

Document type: Journal Article
Sub-type: Article (original research)
Collection: Institute for Molecular Bioscience - Publications
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