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Titolo:
Quantitative genetic modeling of variation in human brain morphology
Autore:
Baare, WFC; Pol, HEH; Boomsma, DI; Posthuma, D; de Geus, EJC; Schnack, HG; van Haren, NEM; van Oel, CJ; Kahn, RS;
Indirizzi:
Univ Utrecht, Med Ctr, Dept Psychiat, NL-3584 CX Utrecht, Netherlands UnivUtrecht Utrecht Netherlands NL-3584 CX 3584 CX Utrecht, Netherlands Vrije Univ Amsterdam, Dept Biol Psychol, NL-1081 HV Amsterdam, NetherlandsVrije Univ Amsterdam Amsterdam Netherlands NL-1081 HV erdam, Netherlands
Titolo Testata:
CEREBRAL CORTEX
fascicolo: 9, volume: 11, anno: 2001,
pagine: 816 - 824
SICI:
1047-3211(200109)11:9<816:QGMOVI>2.0.ZU;2-5
Fonte:
ISI
Lingua:
ENG
Soggetto:
HUMAN CEREBRAL-CORTEX; MONOZYGOTIC TWINS; NERVOUS-SYSTEM; BODY SIZE; SEXUAL-DIFFERENTIATION; SCHIZOPHRENIC-PATIENTS; CORPUS-CALLOSUM; WHITE-MATTER; HOUSE MICE; MRI;
Tipo documento:
Review
Natura:
Periodico
Settore Disciplinare:
Life Sciences
Citazioni:
108
Recensione:
Indirizzi per estratti:
Indirizzo: Kahn, RS Univ Utrecht, Med Ctr, Dept Psychiat, Heidelberglaan 100, NL-3584CX Utrecht, Netherlands Univ Utrecht Heidelberglaan 100 Utrecht Netherlands NL-3584 CX s
Citazione:
W.F.C. Baare et al., "Quantitative genetic modeling of variation in human brain morphology", CEREB CORT, 11(9), 2001, pp. 816-824

Abstract

The degree to which individual variation in brain structure in humans is genetically or environmentally determined is as yet not well understood. We studied the brains of 54 monozygotic (33 male, 21 female) and 58 dizygotic (17 male, 20 female, 21 opposite sex) pairs of twins and 34 of their full siblings (19 male, 15 female) by means of high resolution magnetic resonanceimaging scans. Structural equation modeling was used to quantify the genetic and environmental contributions to phenotypic (co)variance in whole brain, gray and white matter volume of the cerebrum, lateral ventricle volume and associated variables such as intracranial volume and height. Because thecerebral cortex makes up more that two-thirds of the brain mass and almostthree-quarters of its synapses, our data predominantly concerns the telencephalon. Genetic factors accounted for most of the individual differences in whole brain (90%), gray (82%) and white (88%) matter volume. Individual differences in lateral ventricle volume were best explained by a model containing common (58%) and unique (42%) environmental factors, indicating genesto be of no or minor influence. In our sample, genetic or environmental influences were not different for males and females. The same genes influenced brain volumes and intracranial volume and almost completely explained their high phenotypic correlation. Genes influencing gray and white matter overlapped to a large extent and completely determined their phenotypic correlation. The high heritability estimates that were found indicate that brain volumes may be useful as intermediate phenotypes in behavioral genetic research.

ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 20/11/19 alle ore 02:46:16