Literature DB >> 11844738

Twin-singleton differences in brain structure using structural equation modelling.

H E Hulshoff Pol1, Daniëlle Posthuma, Wim F C Baaré, Eco J C De Geus, Hugo G Schnack, Neeltje E M van Haren, Clarine J van Oel, René S Kahn, Dorret I Boomsma.   

Abstract

Twin studies are important to investigate genetic influences on variation in human brain morphology in health and disease. However, the twin method has been criticized for its alleged non-generalizability due to differences in the intrauterine and family environment of twins, compared with singletons. To test whether twin-singleton differences complicate interpretation of genetic contributions on variation in brain volume, brains from 112 pairs of twins and 34 of their siblings with a mean (standard deviation) age of 30.7 (9.6) years were scanned using MRI. The influence of birth order, zygosity and twin-sibling differences on brain volume measures was analysed using maximum-likelihood model fitting. Variances were homogeneous across birth order, zygosity and twin-singleton status. Irrespective of zygosity, intracranial volume was smaller in second-born twins compared with first-born twins and compared with siblings. Grey matter volume was smaller in second-born twins compared with first-born twins. White matter was smaller in twins compared with siblings. Differences in grey and white matter between these groups were no longer significant after correction for intracranial volume. Total brain, and lateral and third ventricle volumes were comparable in twins and singletons. In conclusion, second-born twins have a smaller intracranial volume than their first-born co-twins and siblings. This suggests aberrant early brain development in second-born twins, which is consistent with the suboptimal pre- and perinatal environment related to birth order in twins. Since other brain volume measures were comparable between the groups, twin studies can provide reliable estimates of heritabilities in brain volume measures and these can be generalized to the singleton population.

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Year:  2002        PMID: 11844738     DOI: 10.1093/brain/awf035

Source DB:  PubMed          Journal:  Brain        ISSN: 0006-8950            Impact factor:   13.501


  15 in total

1.  Heritability of volumetric brain changes and height in children entering puberty.

Authors:  Inge L C van Soelen; Rachel M Brouwer; G Caroline M van Baal; Hugo G Schnack; Jiska S Peper; Lei Chen; René S Kahn; Dorret I Boomsma; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2011-12-03       Impact factor: 5.038

2.  Genetic contributions to human brain morphology and intelligence.

Authors:  Hilleke E Hulshoff Pol; Hugo G Schnack; Danielle Posthuma; René C W Mandl; Wim F Baaré; Clarine van Oel; Neeltje E van Haren; D Louis Collins; Alan C Evans; Katrin Amunts; Uli Bürgel; Karl Zilles; Eco de Geus; Dorret I Boomsma; René S Kahn
Journal:  J Neurosci       Date:  2006-10-04       Impact factor: 6.167

3.  Genes contributing to subcortical volumes and intellectual ability implicate the thalamus.

Authors:  Marc M Bohlken; Rachel M Brouwer; René C W Mandl; Neeltje E M van Haren; Rachel G H Brans; G Caroline M van Baal; Eco J C de Geus; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2013-09-13       Impact factor: 5.038

4.  Twin-singleton developmental study of brain white matter anatomy.

Authors:  Neda Sadeghi; John H Gilmore; Guido Gerig
Journal:  Hum Brain Mapp       Date:  2016-10-14       Impact factor: 5.038

5.  Twin-singleton differences in neonatal brain structure.

Authors:  Rebecca C Knickmeyer; Chaeryon Kang; Sandra Woolson; J Keith Smith; Robert M Hamer; Weili Lin; Guido Gerig; Martin Styner; John H Gilmore
Journal:  Twin Res Hum Genet       Date:  2011-06       Impact factor: 1.587

Review 6.  Genetic influences on human brain structure: a review of brain imaging studies in twins.

Authors:  Jiska S Peper; Rachel M Brouwer; Dorret I Boomsma; René S Kahn; Hilleke E Hulshoff Pol
Journal:  Hum Brain Mapp       Date:  2007-06       Impact factor: 5.038

7.  Genetic and environmental influences on neuroimaging phenotypes: a meta-analytical perspective on twin imaging studies.

Authors:  Gabriëlla A M Blokland; Greig I de Zubicaray; Katie L McMahon; Margaret J Wright
Journal:  Twin Res Hum Genet       Date:  2012-06       Impact factor: 1.587

8.  Are there differences in brain morphometry between twins and unrelated singletons? A pediatric MRI study.

Authors:  S J Ordaz; R K Lenroot; G L Wallace; L S Clasen; J D Blumenthal; J E Schmitt; J N Giedd
Journal:  Genes Brain Behav       Date:  2009-11-25       Impact factor: 3.449

9.  Age-Related Differences and Heritability of the Perisylvian Language Networks.

Authors:  Sanja Budisavljevic; Flavio Dell'Acqua; Frühling V Rijsdijk; Fergus Kane; Marco Picchioni; Philip McGuire; Timothea Toulopoulou; Anna Georgiades; Sridevi Kalidindi; Eugenia Kravariti; Robin M Murray; Declan G Murphy; Michael C Craig; Marco Catani
Journal:  J Neurosci       Date:  2015-09-16       Impact factor: 6.167

10.  Academic achievement of twins and singletons in early adulthood: Taiwanese cohort study.

Authors:  Meng-Ting Tsou; Meng-Wen Tsou; Ming-Ping Wu; Jin-Tan Liu
Journal:  BMJ       Date:  2008-07-21
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