Maria J. Knol
Erasmus University Rotterdam
GeneGenome-wide association studyPathologyOncologyCognitionGenetic associationRotterdam StudyDiseaseDementiaPutamenWhite matterPopulationSynaptic signalingNeuroimagingGenetic variationMedicineEvolutionary biologyLocus (genetics)BiologyGenetic architecture
Publications 26
#1Kimberly D. van der Willik (EUR: Erasmus University Rotterdam)H-Index: 5
#2Silvan Licher (EUR: Erasmus University Rotterdam)H-Index: 13
Last. M. Arfan Ikram (EUR: Erasmus University Rotterdam)H-Index: 89
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BACKGROUND To establish trajectories of cognitive and motor function, and to determine the sequence of change across individual tests in community-dwelling individuals aged 45-90 years. METHODS Between 1997-2016, we repeatedly assessed cognitive function with five tests in 9,514 participants aged 45-90 years from the population-based Rotterdam Study. Between 1999-2016, we measured motor function with three tests in 8,297 participants. All participants were free from dementia, stroke, and parkins...
#2Hideaki Suzuki (Imperial College London)H-Index: 10
Last. Stéphanie Debette (University of Bordeaux)H-Index: 51
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White matter hyperintensities (WMH) are the most common brain-imaging feature of cerebral small vessel disease (SVD), hypertension being the main known risk factor. Here, we identify 27 genome-wide loci for WMH-volume in a cohort of 50,970 older individuals, accounting for modification/confounding by hypertension. Aggregated WMH risk variants were associated with altered white matter integrity (p = 2.5×10-7) in brain images from 1,738 young healthy adults, providing insight into the lifetime imp...
#1Shuo Li (BU: Boston University)H-Index: 12
#2Galit Weinstein (University of Haifa)H-Index: 16
Last. Sudha Seshadri (University of Texas at Austin)H-Index: 95
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#1Edith Hofer (Medical University of Graz)H-Index: 27
#2Gennady V. Roshchupkin (EUR: Erasmus University Rotterdam)H-Index: 10
Last. Sudha Seshadri (BU: Boston University)H-Index: 95
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1 CitationsSource
#1Maria J. Knol (EUR: Erasmus University Rotterdam)H-Index: 6
#2Dongwei Lu (University of Cambridge)
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Objective: To identify common genetic variants associated with the presence of brain microbleeds (BMB). Methods: We performed genome-wide association studies in 11 population-based cohort studies and 3 case-control or case-only stroke cohorts. Genotypes were imputed to the Haplotype Reference Consortium or 1000 Genomes reference panel. BMB were rated on susceptibility-weighted or T2*-weighted gradient echo magnetic resonance imaging sequences, and further classified as lobar, or mixed (including...
2 CitationsSource
#1Maria J. Knol (EUR: Erasmus University Rotterdam)H-Index: 6
#2Raymond A. Poot (EUR: Erasmus University Rotterdam)H-Index: 23
Last. Hieab H.H. AdamsH-Index: 25
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The size of the human head is determined by growth in the first years of life, while the rest of the body typically grows until early adulthood. Such complex developmental processes are regulated by various genes and growth pathways. Rare genetic syndromes have revealed genes that affect head size, but the genetic drivers of variation in head size within the general population remain largely unknown. To elucidate biological pathways underlying the growth of the human head, we performed the large...
1 CitationsSource
#1Nicola J. Armstrong (Murdoch University)H-Index: 37
#2Karen A. Mather (UNSW: University of New South Wales)H-Index: 34
Last. Paul A. Nyquist (NIH: National Institutes of Health)H-Index: 22
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Background and Purpose: Periventricular white matter hyperintensities (WMH; PVWMH) and deep WMH (DWMH) are regional classifications of WMH and reflect proposed differences in cause. In the first st...
9 CitationsSource
#1Rachel M. Brouwer (UU: Utrecht University)H-Index: 37
#2Marieke Klein (UCSD: University of California, San Diego)H-Index: 12
Last. Hilleke E. Hulshoff Pol (UU: Utrecht University)H-Index: 76
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Human brain structure changes throughout our lives. Altered brain growth or rates of decline are implicated in a vast range of psychiatric, developmental, and neurodegenerative diseases. While heritable, specific loci in the genome that influence these rates are largely unknown. Here, we sought to find common genetic variants that affect rates of brain growth or atrophy, in the first genome-wide association analysis of longitudinal changes in brain morphology across the lifespan. Longitudinal ma...
4 CitationsSource
#1Nadine Parker (U of T: University of Toronto)H-Index: 3
#2Didac Vidal-Piñeiro (University of Oslo)H-Index: 13
Last. Tomáš Paus (U of T: University of Toronto)H-Index: 93
view all 32 authors...
: Exposures to life stressors accumulate across the lifespan, with possible impact on brain health. Little is known, however, about the mechanisms mediating age-related changes in brain structure. We use a lifespan sample of participants (n = 21 251; 4-97 years) to investigate the relationship between the thickness of cerebral cortex and the expression of the glucocorticoid- and the mineralocorticoid-receptor genes (NR3C1 and NR3C2, respectively), obtained from the Allen Human Brain Atlas. In al...
3 CitationsSource
#1C. Louk de Mol (Erasmus University Medical Center)H-Index: 1
#2Philip R. JansenH-Index: 16
Last. Rinze F. Neuteboom (Erasmus University Medical Center)H-Index: 20
view all 10 authors...
OBJECTIVE: Multiple sclerosis (MS) is a neurological disease with a substantial genetic component and immune-mediated neurodegeneration. Patients with MS show structural brain differences relative to individuals without MS, including smaller regional volumes and alterations in white matter (WM) microstructure. Whether genetic risk for MS is associated with brain structure during early neurodevelopment remains unclear. In this study, we explore the association between MS polygenic risk scores (PR...
1 CitationsSource
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