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  • 1
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 110, No. 12 ( 2013-03-19), p. 4768-4773
    Abstract: Aberrant connectivity is implicated in many neurological and psychiatric disorders, including Alzheimer’s disease and schizophrenia. However, other than a few disease-associated candidate genes, we know little about the degree to which genetics play a role in the brain networks; we know even less about specific genes that influence brain connections. Twin and family-based studies can generate estimates of overall genetic influences on a trait, but genome-wide association scans (GWASs) can screen the genome for specific variants influencing the brain or risk for disease. To identify the heritability of various brain connections, we scanned healthy young adult twins with high-field, high-angular resolution diffusion MRI. We adapted GWASs to screen the brain’s connectivity pattern, allowing us to discover genetic variants that affect the human brain’s wiring. The association of connectivity with the SPON1 variant at rs2618516 on chromosome 11 (11p15.2) reached connectome-wide, genome-wide significance after stringent statistical corrections were enforced, and it was replicated in an independent subsample. rs2618516 was shown to affect brain structure in an elderly population with varying degrees of dementia. Older people who carried the connectivity variant had significantly milder clinical dementia scores and lower risk of Alzheimer’s disease. As a posthoc analysis, we conducted GWASs on several organizational and topological network measures derived from the matrices to discover variants in and around genes associated with autism ( MACROD2 ), development ( NEDD4 ), and mental retardation ( UBE2A ) significantly associated with connectivity. Connectome-wide, genome-wide screening offers substantial promise to discover genes affecting brain connectivity and risk for brain diseases.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2013
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  • 2
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 107, No. 18 ( 2010-05-04), p. 8404-8409
    Abstract: A recently identified variant within the fat mass and obesity-associated ( FTO ) gene is carried by 46% of Western Europeans and is associated with an ~1.2 kg higher weight, on average, in adults and an ~1 cm greater waist circumference. With 〉 1 billion overweight and 300 million obese persons worldwide, it is crucial to understand the implications of carrying this very common allele for the health of our aging population. FTO is highly expressed in the brain and elevated body mass index (BMI) is associated with brain atrophy, but it is unknown how the obesity-associated risk allele affects human brain structure. We therefore generated 3D maps of regional brain volume differences in 206 healthy elderly subjects scanned with MRI and genotyped as part of the Alzheimer's Disease Neuroimaging Initiative. We found a pattern of systematic brain volume deficits in carriers of the obesity-associated risk allele versus noncarriers. Relative to structure volumes in the mean template, FTO risk allele carriers versus noncarriers had an average brain volume difference of ~8% in the frontal lobes and 12% in the occipital lobes—these regions also showed significant volume deficits in subjects with higher BMI. These brain differences were not attributable to differences in cholesterol levels, hypertension, or the volume of white matter hyperintensities; which were not detectably higher in FTO risk allele carriers versus noncarriers. These brain maps reveal that a commonly carried susceptibility allele for obesity is associated with structural brain atrophy, with implications for the health of the elderly.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2010
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  • 3
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 107, No. 1 ( 2010-01-05), p. 384-388
    Abstract: Loss-of-function mutations in the genes associated with primary microcephaly (MCPH) reduce human brain size by about two-thirds, without producing gross abnormalities in brain organization or physiology and leaving other organs largely unaffected [Woods CG, et al. (2005) Am J Hum Genet 76:717–728]. There is also evidence suggesting that MCPH genes have evolved rapidly in primates and humans and have been subjected to selection in recent human evolution [Vallender EJ, et al. (2008) Trends Neurosci 31:637–644]. Here, we show that common variants of MCPH genes account for some of the common variation in brain structure in humans, independently of disease status. We investigated the correlations of SNPs from four MCPH genes with brain morphometry phenotypes obtained with MRI. We found significant, sex-specific associations between common, nonexonic, SNPs of the genes CDK5RAP2 , MCPH1 , and ASPM , with brain volume or cortical surface area in an ethnically homogenous Norwegian discovery sample ( n = 287), including patients with mental illness. The most strongly associated SNP findings were replicated in an independent North American sample ( n = 656), which included patients with dementia. These results are consistent with the view that common variation in brain structure is associated with genetic variants located in nonexonic, presumably regulatory, regions.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2010
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  • 4
    In: Nature Genetics, Springer Science and Business Media LLC, Vol. 44, No. 5 ( 2012-5), p. 552-561
    Type of Medium: Online Resource
    ISSN: 1061-4036 , 1546-1718
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    Language: English
    Publisher: Springer Science and Business Media LLC
    Publication Date: 2012
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  • 5
    Online Resource
    Online Resource
    IOP Publishing ; 2010
    In:  Physics in Medicine and Biology Vol. 55, No. 20 ( 2010-10-21), p. 6197-6214
    In: Physics in Medicine and Biology, IOP Publishing, Vol. 55, No. 20 ( 2010-10-21), p. 6197-6214
    Type of Medium: Online Resource
    ISSN: 0031-9155 , 1361-6560
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    Language: Unknown
    Publisher: IOP Publishing
    Publication Date: 2010
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  • 6
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 107, No. 22 ( 2010-06), p. 10256-10261
    Abstract: The ε4 allele of the apolipoprotein E (APOE) gene is the major genetic risk factor for Alzheimer’s disease (AD), but limited work has suggested that APOE genotype may modulate disease phenotype. Carriers of the ε4 allele have been reported to have greater medial temporal lobe (MTL) pathology and poorer memory than noncarriers. Less attention has focused on whether there are domains of cognition and neuroanatomical regions more affected in noncarriers. Further, a major potential confound of prior in vivo studies is the possibility of different rates of clinical misdiagnosis for carriers vs. noncarriers. We compared phenotypic differences in cognition and topography of regional cortical atrophy of ε4 carriers ( n = 67) vs. noncarriers ( n = 24) with mild AD from the Alzheimer’s Disease Neuroimaging Initiative, restricted to those with a cerebrospinal fluid (CSF) molecular profile consistent with AD. Between-group comparisons were made for psychometric tests and morphometric measures of cortical thickness and hippocampal volume. Carriers displayed significantly greater impairment on measures of memory retention, whereas noncarriers were more impaired on tests of working memory, executive control, and lexical access. Consistent with this cognitive dissociation, carriers exhibited greater MTL atrophy, whereas noncarriers had greater frontoparietal atrophy. Performance deficits in particular cognitive domains were associated with disproportionate regional brain atrophy within nodes of cortical networks thought to subserve these cognitive processes. These convergent cognitive and neuroanatomic findings in individuals with a CSF molecular profile consistent with AD support the hypothesis that APOE genotype modulates the clinical phenotype of AD through influence on specific large-scale brain networks.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
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    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2010
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  • 7
    In: Biological Psychiatry, Elsevier BV, Vol. 71, No. 9 ( 2012-05), p. 814-821
    Type of Medium: Online Resource
    ISSN: 0006-3223
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    Language: English
    Publisher: Elsevier BV
    Publication Date: 2012
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  • 8
    In: Proceedings of the National Academy of Sciences, Proceedings of the National Academy of Sciences, Vol. 109, No. 14 ( 2012-04-03)
    Abstract: Iron is vital for brain function, and here we discovered poorer brain integrity in those with lower levels of iron available for transport to the brain. This is especially remarkable, as the people we studied were all in good health, and with access to a healthy diet. We found brain pathways whose structure is controlled by the same gene that affects transferrin levels, revealing inherited developmental properties. We can now see the effects of this common gene on the brain, revealing how iron pathways affect brain pathways. Our study reveals connections between transferrin levels, iron-related genes, and brain integrity as it changes throughout our lives. Our analysis had three major findings. First, serum transferrin levels, measured during adolescence, were associated with differences in brain structure and fiber integrity in adulthood (approximately 9 y after blood was drawn). Second, overlapping sets of genes mediated these associations with white matter integrity. This was evident from the cross-twin cross-trait correlations between transferrin levels and white matter integrity. Third, we found that a very commonly carried genetic variant—the well known HFE H63D polymorphism—influences white matter microstructure in the external capsule, a key neural pathway. This points to a direct link between genomic variation and brain structure via the iron transport pathway. After discovering a common genetic basis for transferrin levels and brain fiber integrity, we used a family-based genetic association test to further investigate (second question mark in Fig. P1 ) how the brain is affected by specific variants in the transferrin gene, TF , on chromosome 3 and in the HFE gene on chromosome 6. Together, these genes explain a remarkable 40% of the genetic variance in serum transferrin levels ( 5 ). Genetic factors explain a large proportion of the variance in serum transferrin levels ( 3 ). As such, if transferrin is associated with brain differences, we might expect that some of the same genes might influence brain structure and iron availability. To understand such shared genetic contributions to brain variations and transferrin, we used a twin design. Cross-twin cross-trait designs can discover overlapping (i.e., pleiotropic) genetic influences on very different biological traits, such as fiber integrity and IQ ( 4 ). We further hypothesized that volumes of iron-rich brain regions might also be lower in people with high serum transferrin levels. In people with low iron levels, more transferrin is produced by the liver—this is thought to be a compensatory reaction, to make more iron available to the body, including the brain. By measuring brain volumes regionally, we predicted that we might find insufficiently developed (i.e., smaller) brain structures in those with higher transferrin levels. Iron deficiency alters dopamine metabolism in the caudate and putamen ( 2 ), so we predicted that people with high transferrin (and lower brain iron) might have lower volumes for dopamine-containing structures, involved in learning and motor control. We note these hypotheses relating brain structure to transferrin levels in Fig. P1 as the first arrow marked with a question mark. We studied healthy individuals with serum measures taken during the teenage years (age 12–16 y); their brains were imaged later, as young adults (age 20–30 y); iron overload is unlikely in this young population. We instead expected that iron levels toward the lower end of the normal range might lead to a poorer developmental phenotype in the brain. Most of the brain's iron is found in cells called oligodendrocytes, and iron is critical to allow these cells to produce myelin, a fatty insulation that speeds up brain impulses ( 1 ). Our primary hypothesis was that people with lower iron levels during adolescence might have poorer white matter integrity later in life. To assess brain integrity in adulthood, we used the widely accepted method of assessment of fractional anisotropy, measured from the diffusion tensor imaging scans. This measures the coherence of fibers in the brain: lower fractional anisotropy can be a sign of less mature or poorer myelination. Iron levels in the human body are critical for healthy brain development, but too much iron can promote brain degeneration. We set out to investigate whether brain structure in healthy adults depends on the level of transferrin, a protein that transports iron to the brain. With brain MRI, we scanned 615 young adult twins and their siblings. We also scanned 574 of them with a type of MRI called diffusion tensor imaging. This type of scan assesses the integrity of fibers and connections that transmit information in the brain. We were particularly interested to see if iron availability to the developing brain in adolescence would affect brain integrity later in life. This work reveals how iron levels in the body can affect the structure of the living brain. Iron is critical for healthy brain function. Iron-deficient children often have cognitive problems, but too much iron can promote brain degeneration in old age. Clearly, iron transport to the brain must be carefully regulated. Here we discovered that levels of the iron transport protein, transferrin, affect the overall structure of the human brain, i.e., its fiber integrity and the volumes of different brain regions. These changes are genetically influenced; we discovered one gene that affects brain integrity and iron availability.
    Type of Medium: Online Resource
    ISSN: 0027-8424 , 1091-6490
    RVK:
    RVK:
    Language: English
    Publisher: Proceedings of the National Academy of Sciences
    Publication Date: 2012
    detail.hit.zdb_id: 209104-5
    detail.hit.zdb_id: 1461794-8
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  • 9
    In: The Journal of Neuroscience, Society for Neuroscience, Vol. 30, No. 49 ( 2010-12-08), p. 16673-16678
    Abstract: Recent evidence suggests that putting feelings into words activates the prefrontal cortex (PFC) and suppresses the response of the amygdala, potentially helping to alleviate emotional distress. To further elucidate the relationship between brain structure and function in these regions, structural and functional magnetic resonance imaging (MRI) data were collected from a sample of 20 healthy human subjects. Structural MRI data were processed using cortical pattern-matching algorithms to produce spatially normalized maps of cortical thickness. During functional scanning, subjects cognitively assessed an emotional target face by choosing one of two linguistic labels (label emotion condition) or matched geometric forms (control condition). Manually prescribed regions of interest for the left amygdala were used to extract percentage signal change in this region occurring during the contrast of label emotion versus match forms. A correlation analysis between left amygdala activation and cortical thickness was then performed along each point of the cortical surface, resulting in a color-coded r value at each cortical point. Correlation analyses revealed that gray matter thickness in left ventromedial PFC was inversely correlated with task-related activation in the amygdala. These data add support to a general role of the ventromedial PFC in regulating activity of the amygdala.
    Type of Medium: Online Resource
    ISSN: 0270-6474 , 1529-2401
    Language: English
    Publisher: Society for Neuroscience
    Publication Date: 2010
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  • 10
    In: Journal of Neuroscience Research, Wiley, Vol. 90, No. 7 ( 2012-07), p. 1310-1323
    Type of Medium: Online Resource
    ISSN: 0360-4012
    URL: Issue
    Language: English
    Publisher: Wiley
    Publication Date: 2012
    detail.hit.zdb_id: 1474904-X
    SSG: 12
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