Victoria Alvarez

Dr. Victoria Alvarez

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Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 August 2019 in Movement Disorders
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BCBeatriz De la Casa‐Fages
Beatriz De la Casa‐Fages
GFGorka Fernández‐Eulate
Gorka Fernández‐Eulate
JGJosep Gamez
Josep Gamez
RBRaúl Barahona‐Hernando
Raúl Barahona‐Hernando
GMGermán Morís
Germán Morís
AMAdolfo López de Munaín
Adolfo López de Munaín

24 January 2023 in Movement Disorders
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EVEva‐Juliane Vollstedt
Eva‐Juliane Vollstedt
SSSusen Schaake
Susen Schaake
KLKatja Lohmann
Katja Lohmann
SPShalini Padmanabhan
Shalini Padmanabhan
ABAlexis Brice
Alexis Brice
TGthe MJFF Global Genetic Parkinson's Disease Study Group
the MJFF Global Genetic Parkinson's Disease Study Group
Background: As gene‐targeted therapies are increasingly being developed for Parkinson's disease (PD), identifying and characterizing carriers of specific genetic pathogenic variants is imperative. Only a small fraction of the estimated number of subjects with monogenic PD worldwide are currently represented in the literature and availability of clinical data and clinical trial‐ready cohorts is limited.Objective: The objectives are to (1) establish an international cohort of affected and unaffected individuals with PD‐linked variants; (2) provide harmonized and quality‐controlled clinical characterization data for each included individual; and (3) further promote collaboration of researchers in the field of monogenic PD.Methods: We conducted a worldwide, systematic online survey to collect individual‐level data on individuals with PD‐linked variants in SNCA, LRRK2, VPS35, PRKN, PINK1, DJ‐1, as well as selected pathogenic and risk variants in GBA and corresponding demographic, clinical, and genetic data. All registered cases underwent thorough quality checks, and pathogenicity scoring of the variants and genotype–phenotype relationships were analyzed.Results: We collected 3888 variant carriers for our analyses, reported by 92 centers (42 countries) worldwide. Of the included individuals, 3185 had a diagnosis of PD (ie, 1306 LRRK2, 115 SNCA, 23 VPS35, 429 PRKN, 75 PINK1, 13 DJ‐1, and 1224 GBA) and 703 were unaffected (ie, 328 LRRK2, 32 SNCA, 3 VPS35, 1 PRKN, 1 PINK1, and 338 GBA). In total, we identified 269 different pathogenic variants; 1322 individuals in our cohort (34%) were indicated as not previously published.Conclusions: Within the MJFF Global Genetic PD Study Group, we (1) established the largest international cohort of affected and unaffected individuals carrying PD‐linked variants; (2) provide harmonized and quality‐controlled clinical and genetic data for each included individual; (3) promote collaboration in the field of genetic PD with a view toward clinical and genetic stratification of patients for gene‐targeted clinical trials. © 2023 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

1 March 2020 in Neurobiology of Aging
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IRIrene Rosas
Irene Rosas
CMCarmen Martínez
Carmen Martínez
JCJordi Clarimón
Jordi Clarimón
ALAlberto Lleó
Alberto Lleó
IIIgnacio Illán-Gala
Ignacio Illán-Gala
Manuel Menendez GonzalezManuel Menendez Gonzalez
Manuel Menendez Gonzalez

18 June 2025 in Nature Genetics
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ANAude Nicolas
Aude Nicolas
RSRichard Sherva
Richard Sherva
BGBenjamin Grenier-Boley
Benjamin Grenier-Boley
YKYoontae Kim
Yoontae Kim
MKMasataka Kikuchi
Masataka Kikuchi
JLJean-Charles Lambert
Jean-Charles Lambert
A polygenic score (PGS) for Alzheimer’s disease (AD) was derived recently from data on genome-wide significant loci in European ancestry populations. We applied this PGS to populations in 17 European countries and observed a consistent association with the AD risk, age at onset and cerebrospinal fluid levels of AD biomarkers, independently of apolipoprotein E locus (APOE). This PGS was also associated with the AD risk in many other populations of diverse ancestries. A cross-ancestry polygenic risk score improved the association with the AD risk in most of the multiancestry populations tested when the APOE region was included. Finally, we found that the PGS/polygenic risk score captured AD-specific information because the association weakened as the diagnosis was broadened. In conclusion, a simple PGS captures the AD-specific genetic information that is common to populations of different ancestries, although studies of more diverse populations are still needed to better characterize the genetics of AD.

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PGPablo García-González
Pablo García-González
IRItziar de Rojas
Itziar de Rojas
SMSonia Moreno-Grau
Sonia Moreno-Grau
LMLaura Montrreal
Laura Montrreal
RFRaquel Puerta Fuentes
Raquel Puerta Fuentes
ARAgustín Ruiz
Agustín Ruiz
Mosaic loss of chromosome Y (mLOY) is a common ageing-related somatic event and has been previously associated with Alzheimer’s disease (AD). However, mLOY estimation from genotype microarray data only reflects the mLOY degree of subjects at the moment of DNA sampling. Therefore, mLOY phenotype associations with AD can be severely age-confounded in the context of genome-wide association studies. Here, we applied Mendelian randomisation to construct an age-independent mLOY polygenic risk score (mloy-PRS) using 114 autosomal variants. The mloy-PRS instrument was associated with an 80% increase in mLOY risk per standard deviation unit (p = 4.22 × 10−20) and was orthogonal with age. We found that a higher genetic risk for mLOY was associated with faster progression to AD in men with mild cognitive impairment (hazard ratio (HR) = 1.23, p = 0.01). Importantly, mloy-PRS had no effect on AD conversion or risk in the female group, suggesting that these associations are caused by the inherent loss of the Y chromosome. Additionally, the blood mLOY phenotype in men was associated with increased cerebrospinal fluid levels of total tau and phosphorylated tau181 in subjects with mild cognitive impairment and dementia. Our results strongly suggest that mLOY is involved in AD pathogenesis.

1 April 2019 in Neurobiology of Aging
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Manuel Menendez GonzalezManuel Menendez Gonzalez
Manuel Menendez Gonzalez
JCJordi Clarimón
Jordi Clarimón
IRIrene Rosas-Allende
Irene Rosas-Allende
MBMarta Blázquez
Marta Blázquez
EMEsther Suárez San Martín
Esther Suárez San Martín
CMCarmen Martínez
Carmen Martínez