Bivariate heritability of total and regional brain volumes: The framingham study

Alzheimer Disease and Associated Disorders

Volumn 23, Issue 3, 2009, Pages 218-223

  DeStefano, Anita L ^a,b   Seshadri, Sudha ^b,d   Beiser, Alexa ^a,b   Atwood, Larry D ^a,b,d   Massaro, Joe M ^a,c,d   Au, Rhoda ^b,d   Wolf, Philip A ^b,d   DeCarli, Charles ^e  

^a BOSTON UNIVERSITY   (United States)

^b BOSTON UNIVERSITY SCHOOL OF MEDICINE   (United States)

^c Boston University   (United States)

^d FRAMINGHAM HEART STUDY   (United States)

^e UNIVERSITY OF CALIFORNIA   (United States)

Author keywords

Brain volume; Heritability; Quantitative MRI; White matter hyperintensity

Indexed keywords

ARTICLE; BIVARIATE ANALYSIS; BRAIN REGION; BRAIN SIZE; GENETIC TRAIT; HERITABILITY; HUMAN; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; RISK FACTOR;

BRAIN; FEMALE; HUMANS; MAGNETIC RESONANCE IMAGING; MALE; ORGAN SIZE; PEDIGREE;

EID: 70349146711     PISSN: 08930341     EISSN: None     Source Type: Journal    
DOI: 10.1097/WAD.0b013e31819cadd8     Document Type: Article

References (35)

1. Peper JS, Brouwer RM, Boomsma DI, et al. Genetic influences on human brain structure: a review of brain imaging studies in twins. Hum Brain Mapp. 2007;28:464-473.
2. Schmitt JE, Eyler LT, Giedd JN, et al. Review of twin and family studies on neuroanatomic phenotypes and typical neurodevelopment. Twin Res Hum Genet. 2007;10: 683-694.
3. Carmelli D, Swan GE, DeCarli C, et al. Quantitative genetic modeling of regional brain volumes and cognitive performance in older male twins. Biol Psychol. 2002;61:139-155.
4. Pennington BF, Filipek PA, Lefly D, et al. A twin MRI study of size variations in human brain. J Cogn Neurosci. 2000;12: 223-232.
5. Rijsdijk FV, van Haren NE, Picchioni MM, et al. Brain MRI abnormalities in schizophrenia: same genes or same environment? Psychol Med. 2005;35:1399-1409.
6. Styner M, Lieberman JA, McClure RK, et al. Morphometric analysis of lateral ventricles in schizophrenia and healthy controls regarding genetic and disease-specific factors. Proc Natl Acad Sci USA. 2005;102:4872-4877.
7. Pfefferbaum A, Sullivan EV, Swan GE, et al. Brain structure in men remains highly heritable in the seventh and eighth decades of life. Neurobiol Aging. 2000;21:63-74.
8. Baare WF, Hulshoff Pol HE, Boomsma DI, et al. Quantitative genetic modeling of variation in human brain morphology. Cereb Cortex. 2001;11:816-824.
9. Thompson PM, Cannon TD, Narr KL, et al. Genetic influences on brain structure. Nat Neurosci. 2001;4:1253-1258.
10. Wright IC, Sham P, Murray RM, et al. Genetic contributions to regional variability in human brain structure: methods and preliminary results. Neuroimage. 2002;17:256-271.
11. Schmitt JE, Wallace GL, Rosenthal MA, et al. A multivariate analysis of neuroanatomic relationships in a genetically informative pediatric sample. Neuroimage. 2007;35:70-82.
12. Carmelli D, DeCarli C, Swan GE, et al. Evidence for genetic variance in white matter hyperintensity volume in normal elderly male twins. Stroke. 1998;29:1177-1181.
13. Lunetta KL, Erlich PM, Cuenco KT, et al. Heritability of magnetic resonance imaging (MRI) traits in Alzheimer disease cases and their siblings in the MIRAGE study. Alzheimer Dis Assoc Disord. 2007;21:85-91.
14. Atwood LD, Wolf PA, Heard-Costa NL, et al. Genetic variation in white matter hyperintensity volume in the Framingham study. Stroke. 2004;35:1609-1613.
15. DeStefano AL, Atwood LD, Massaro JM, et al. Genome-wide scan for white matter hyperintensity: the Framingham Heart Study. Stroke. 2006;37:77-81.
16. Dawber TR, Meadors GF, Moore FE Jr. Epidemiological approaches to heart disease: the Framingham Study. Am J Public Health. 1951;41:279-281.
17. Kannel WB, Feinleib M, McNamara PM, et al. An investigation of coronary heart disease in families. The Framingham offspring study. Am J Epidemiol. 1979;110:281-290.
18. Cupples LA, Yang Q, Demissie S, et al. Description of the Framingham Heart Study data for Genetic Analysis Workshop 13. BMC Genet. 2003;4(suppl 1):S2.
19. DeCarli C, Maisog J, Murphy DG, et al. Method for quantification of brain, ventricular, and subarachnoid CSF volumes from MR images. J Comput Assist Tomogr. 1992;16: 274-284.
20. DeCarli C, Murphy DG, Teichberg D, et al. Local histogram correction of MRI spatially dependent image pixel intensity nonuniformity. J Magn Reson Imaging. 1996;6:519-528.
21. DeCarli C, Murphy DG, Tranh M, et al. The effect of white matter hyperintensity volume on brain structure, cognitive performance, and cerebral metabolism of glucose in 51 healthy adults. Neurology. 1995;45:2077-2084.
22. DeCarli C, Miller BL, Swan GE, et al. Predictors of brain morphology for the men of the NHLBI twin study. Stroke. 1999;30:529-536.
23. Decarli C, Massaro J, Harvey D, et al. Measures of brain morphology and infarction in the Framingham Heart Study: establishing what is normal. Neurobiol Aging. 2005;26:491-510.
24. Wu CC, Mungas D, Petkov CI, et al. Brain structure and cognition in a community sample of elderly Latinos. Neurology. 2002;59:383-391.
25. D'Agostino profile: adjustment for antihypertensive medication. The Framingham Study. Stroke. 1994;25:40-43.
26. Wolf PA, D'Agostino a risk profile from the Framingham Study. Stroke. 1991;22:312-318.
27. Seshadri S, Wolf PA, Beiser A, et al. Stroke risk profile, brain volume, and cognitive function: the Framingham Offspring Study. Neurology. 2004;63:1591-1599.
28. Jeerakathil T, Wolf PA, Beiser A, et al. Stroke risk profile predicts white matter hyperintensity volume: the Framingham Study. Stroke. 2004;35:1857-1861.
29. Almasy L, Blangero J. Multipoint quantitative-trait linkage analysis in general pedigrees. Am J Hum Genet. 1998;62:1198-1211.
30. Almasy L, Dyer TD, Blangero J. Bivariate quantitative trait linkage analysis: pleiotropy versus co-incident linkages. Genet Epidemiol. 1997;14:953-958.
31. Allison DB, Neale MC, Zannolli R, et al. Testing the robustness of the likelihood-ratio test in a variance-component quantitative-trait loci-mapping procedure. Am J Hum Genet. 1999;65:531-544.
32. Morris JC, Price AL. Pathologic correlates of nondemented aging, mild cognitive impairment, and early-stage disease. J Mol Neurosci. RB, Belanger AJ, 2001;17:101-118.
33. Price JL, McKeel DW Jr, Morris JC. Synaptic loss and pathological change in older adults-aging versus disease? Neurobiol Aging. 2001;22:351-352.
34. Braak H, Braak E. Frequency of stages of Alzheimer-related lesions in different age categories. Neurobiol Aging. 1997;18: 351-357.
35. Bartley AJ, Jones DW, Weinberger DR. Genetic variability of human brain size and cortical gyral patterns. Brain. 1997;120 (Pt 2):257-269.