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Dive into the research topics where Yasaman Saba is active.

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Featured researches published by Yasaman Saba.


Human Brain Mapping | 2017

Gray matter heritability in family-based and population-based studies using voxel-based morphometry

Sven J. van der Lee; Gennady V. Roshchupkin; Hieab H.H. Adams; Helena Schmidt; Edith Hofer; Yasaman Saba; Reinhold Schmidt; Albert Hofman; Najaf Amin; Cornelia M. van Duijn; Meike W. Vernooij; M. Arfan Ikram; Wiro J. Niessen

The combination of genetics and imaging has improved their understanding of the brain through studies of aggregate measures obtained from high‐resolution structural imaging. Voxel‐wise analyses have the potential to provide more detailed information of genetic influences on the brain. Here they report a large‐scale study of the heritability of gray matter at voxel resolution (1 × 1 × 1 mm).


bioRxiv | 2018

Planar cell polarity pathway and development of the human visual cortex

Jean Shin; Shaojie Ma; Edith Hofer; Yash Patel; Gennady V. Roshchupkin; André M.M. Sousa; Xueqiu Jian; Rebecca Gottesmann; Thomas H. Mosley; Myriam Fornage; Yasaman Saba; Lukas Pirpamer; Reinhold Schmidt; Helena Schmidt; Bernard Mazoyer; Amaia Carrion-Castillo; Joshua C. Bis; Shuo Li; Qiong Yang; Michelle Luciano; Sherif Karama; Lindsay B. Lewis; Mark E. Bastin; Matthew A Harris; Ian J. Deary; Joanna M. Wardlaw; Markus Scholz; Markus Loeffler; Veronica Witte; Frauke Beyer

The radial unit hypothesis provides a framework for global (proliferation) and regional (distribution) expansion of the primate cerebral cortex1. Using principal component analysis (PCA), we have identified cortical regions with shared variance in their surface area and cortical thickness, respectively, segmented from magnetic resonance images obtained in 19,171 participants. We then carried out meta-analyses of genome-wide association studies of the first two principal components for each phenotype. For surface area (but not cortical thickness), we have detected strong associations between each of the components and single nucleotide polymorphisms in a number of gene loci. The first (“global”) component was associated mainly with loci on chromosome 17 (8.8×10 -26 ≤ p ≤ 2.3×10-14), including those detected previously as linked with intracranial volume2,3. The second (regional) component captured shared variation in the surface area of the primary and adjacent secondary visual cortices and showed a robust association with polymorphisms in a locus on chromosome 14 containing Disheveled Associated Activator of Morphogenesis 1 (DAAM1; p=3.0×10-32). DAAM1 is a key component in the planar-cell-polarity signaling pathway4,5. In follow-up studies, we have focused on the latter finding and established that: (1) DAAM1 is highly expressed between 12th and 22nd post-conception weeks in the human cerebral cortex; (2) genes co-expressed with DAAM1 in the primary visual cortex are enriched in mitochondria-related pathways; and (3) volume of the lateral geniculate nucleus, which projects to regions of the visual cortex staining for cytochrome oxidase (a mitochondrial enzyme), correlates with the surface area of the visual cortex in major-allele homozygotes but not in carriers of the minor allele. Altogether, we speculate that - in concert with thalamocortical input to cortical subplate - DAAM1 enables migration of neurons to cytochrome-oxidase rich regions of the visual cortex, and, in turn, facilitates regional expansion of this set of cortical regions during development.


bioRxiv | 2018

Genetic Determinants of Cortical Structure (Thickness, Surface Area and Volumes) among Disease Free Adults in the CHARGE Consortium

Edith Hofer; Gennady V. Roshchupkin; Hieab H.H. Adams; Maria J. Knol; Honghuang Lin; Shuo Li; Habil Zare; Shahzad Ahmad; Nicola J. Armstrong; Claudia L. Satizabal; Manon Bernard; Joshua C. Bis; Nathan A. Gillespie; Michelle Luciano; Aniket Mishra; Markus Scholz; Alexander Teumer; Rui Xia; Xueqiu Jian; Thomas H. Mosley; Yasaman Saba; Lukas Pirpamer; Stephan Seiler; James T. Becker; Owen T. Carmichael; Jerome I. Rotter; Bruce M. Psaty; Oscar L. Lopez; Najaf Amin; Sven J. van der Lee

Cortical thickness, surface area and volumes (MRI cortical measures) vary with age and cognitive function, and in neurological and psychiatric diseases. We examined heritability, genetic correlations and genome-wide associations of cortical measures across the whole cortex, and in 34 anatomically predefined regions. Our discovery sample comprised 22,822 individuals from 20 cohorts within the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium and the United Kingdom Biobank. Significant associations were replicated in the Enhancing Neuroimaging Genetics through Meta-analysis (ENIGMA) consortium, and their biological implications explored using bioinformatic annotation and pathway analyses. We identified genetic heterogeneity between cortical measures and brain regions, and 161 genome-wide significant associations pointing to wnt/β-catenin, TGF-β and sonic hedgehog pathways. There was enrichment for genes involved in anthropometric traits, hindbrain development, vascular and neurodegenerative disease and psychiatric conditions. These data are a rich resource for studies of the biological mechanisms behind cortical development and aging.


Nature Communications | 2018

Genome-wide association study of 23,500 individuals identifies 7 loci associated with brain ventricular volume

Dina Vojinovic; Hieab H.H. Adams; Xueqiu Jian; Qiong Yang; Albert V. Smith; Joshua C. Bis; Alexander Teumer; Markus Scholz; Nicola J. Armstrong; Edith Hofer; Yasaman Saba; Michelle Luciano; Manon Bernard; Stella Trompet; Jingyun Yang; Nathan A. Gillespie; Sven J. van der Lee; Alexander Neumann; Shahzad Ahmad; Ole A. Andreassen; David Ames; Najaf Amin; Konstantinos Arfanakis; Mark E. Bastin; Diane M. Becker; Alexa Beiser; Frauke Beyer; Henry Brodaty; R. Nick Bryan; Robin Bülow

The volume of the lateral ventricles (LV) increases with age and their abnormal enlargement is a key feature of several neurological and psychiatric diseases. Although lateral ventricular volume is heritable, a comprehensive investigation of its genetic determinants is lacking. In this meta-analysis of genome-wide association studies of 23,533 healthy middle-aged to elderly individuals from 26 population-based cohorts, we identify 7 genetic loci associated with LV volume. These loci map to chromosomes 3q28, 7p22.3, 10p12.31, 11q23.1, 12q23.3, 16q24.2, and 22q13.1 and implicate pathways related to tau pathology, S1P signaling, and cytoskeleton organization. We also report a significant genetic overlap between the thalamus and LV volumes (ρgenetic = −0.59, p-value = 3.14 × 10−6), suggesting that these brain structures may share a common biology. These genetic associations of LV volume provide insights into brain morphology.An increase in the volume of the brain lateral ventricles is a sign of normal aging, but can also be associated with neurological and psychiatric disorders. Here, Vojinovic et al. identify seven genetic loci in a GWA study for ventricular volume in 23,500 individuals and find correlation with thalamus volume.


American Journal of Human Genetics | 2017

Genome-wide Trans-ethnic Meta-analysis Identifies Seven Genetic Loci Influencing Erythrocyte Traits and a Role for RBPMS in Erythropoiesis

Frank J. A. van Rooij; Rehan Qayyum; Albert V. Smith; Yi Zhou; Stella Trompet; Toshiko Tanaka; Margaux F. Keller; Li Ching Chang; Helena Schmidt; Min Lee Yang; Ming-Huei Chen; James E. Hayes; Andrew D. Johnson; Lisa R. Yanek; Christian Mueller; Leslie A. Lange; James S. Floyd; Mohsen Ghanbari; Alan B. Zonderman; J. Wouter Jukema; Albert Hofman; Cornelia M. van Duijn; Karl C. Desch; Yasaman Saba; Ayse Bilge Ozel; Beverly M. Snively; Jer-Yuarn Wu; Reinhold Schmidt; Myriam Fornage; Robert J. Klein


Stroke | 2018

Exome Chip Analysis Identifies Low-Frequency and Rare Variants in MRPL38 for White Matter Hyperintensities on Brain Magnetic Resonance Imaging

Xueqiu Jian; Claudia L. Satizabal; Albert V. Smith; Katharina Wittfeld; Joshua C. Bis; Jennifer A. Smith; Fang-Chi Hsu; Kwangsik Nho; Edith Hofer; Saskia P. Hagenaars; Paul A. Nyquist; Aniket Mishra; Hieab H.H. Adams; Shuo Li; Alexander Teumer; Wei Zhao; Barry I. Freedman; Yasaman Saba; Lisa R. Yanek; Ganesh Chauhan; Mark A. van Buchem; Mary Cushman; Natalie A. Royle; R. Nick Bryan; Wiro J. Niessen; Beverly G. Windham; Anita L. DeStefano; Mohamad Habes; Susan R. Heckbert; Nicholette D. Palmer

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Edith Hofer

Medical University of Graz

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Hieab H.H. Adams

Erasmus University Rotterdam

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Joshua C. Bis

University of Washington

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Xueqiu Jian

University of Texas Health Science Center at Houston

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Najaf Amin

Erasmus University Rotterdam

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Sven J. van der Lee

Erasmus University Rotterdam

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Helena Schmidt

Medical University of Graz

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Reinhold Schmidt

Medical University of Graz

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