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Articles by Edith Hofer
Longitudinal blood-based proteomics reveal progression-specific molecular signatures in Parkinson’s disease
Abstract Parkinson disease (PD) shows marked heterogeneity in clinical progression and single baseline biomarkers have shown limited value for predicting these changes. We examined whether repeated serum proteomics can identify protein-clinical associations linked to worsening across motor, cognitive, non-motor, and treatment-related outcomes.
Free Water as a Marker of Early Small Vessel Disease in Healthy Aging
1 Introduction Aging is associated with an increasing prevalence of cerebral small vessel disease (SVD) [1], a medical condition that impacts arterioles, capillaries, and small veins within the brain [2]. On a macroscopic scale, these changes are visible on magnetic resonance imaging (MRI) as white matter hyperintensities (WMHs), lacunes, microbleeds, microinfarcts, enlarged perivascular spaces, and brain atrophy [3, 4].
The Cost of Understanding—XAI Algorithms towards Sustainable ML in the View of Computational Cost
Abstract : In response to socioeconomic development, the number of machine learning applications has increased, along with the calls for algorithmic transparency and further sustainability in terms of energy efficient technologies. Modern computer algorithms that process large amounts of information, particularly artificial intelligence methods and their workhorse machine learning, can be used to promote and support sustainability; however, they consume a lot of energy themselves.
The miR-668 binding site variant rs1046322 on WFS1 is associated with obesity in Southeast Asians
1 Introduction Obesity has now become a global epidemic with an alarmingly increasing rate of incidence (1). The World Health Organization (WHO) reports that the worldwide prevalence of obesity nearly tripled between 1975 and 2016 and is expected to double in the next 25 years (2, 3). Different ethnicities exhibit different rates of obesity. This is evident in the different rates of obesity in ethnicities such as those of Southeast Asians, Arabs, and South Asians.
Identifying novel genetic risk loci for lacunar stroke
In The Lancet Neurology, Matthew Traylor and colleagues 1 Traylor M Persyn E Tomppo L et al. Genetic basis of lacunar stroke: a pooled analysis of individual patient data and genome-wide association studies. report the results of the largest pooled analysis of risk genes for lacunar stroke published to date. The authors included more than 7000 patients with lacunar stroke and 250 000 controls. In almost 3000 cases, MRI confirmed the presence of lacunar stroke.
White Matter Lesion Progression
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Background and Purpose—White matter lesion (WML) progression on magnetic resonance imaging is related to cognitive decline and stroke, but its determinants besides baseline WML burden are largely unknown. Here, we estimated heritability of WML progression, and sought common genetic variants associated with WML progression in elderly participants from the Cohorts for Heart and Aging Research in Genomic Epidemiology (CHARGE) consortium.
By Ian Ford Verified, Thomas Lumley, Meike W Vernooij, Albert Hofman, Albert Smith, Alexa S. Beiser, Qiong Yang, Sudha Seshadri, Charles DeCarli, Philippe Amouyel, Sigurdur Sigurdsson, Vilmundur Gudnason, Joshua C. Bis, Myriam Fornage, M. Arfan Ikram, Thomas Mosley, Rebecca Gottesman, Bruce M. Psaty, Rudi Westendorp, Brendan Buckley Verified, Hieab H. H. Adams, Edith Hofer, Margherita Cavalieri, Velandai Srikanth, Stella Trompet, Benjamin F. J. Verhaaren, Christiane Wolf, Michele Callisaya, Ganesh Chauhan, Carole Dufouil, Paul Freudenberger, Gerardo Heiss, Oliver Martinez, Bernard Mazoyer, Wiro J. Niessen, Thanh Phan, Claudia L. Satizabal, Naveed Sattar, Sabrina Schilling, Dean K. Shibata, P. Eline Slagboom, David J. Stott, Russell Thomson, Anna M. Töglhofer, Christophe Tzourio, Mark van Buchem, B. Gwen Windham, Alex Zijdenbos, Richard Beare, Stéphanie Debette, J. Wouter Jukema, Lenore J. Launer, Helena Schmidt Verified, Chris Moran, Kent Taylor
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