11 research outputs found
Common Variants in Alzheimer’s Disease and Risk Stratification by Polygenic Risk Scores
Genetic discoveries of Alzheimer's disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n=409,435 and validation size n=58,190). Here, we add six variants associated with Alzheimer's disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer's disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer's disease.The present work has been performed as part of the doctoral program of I. de Rojas at the
Universitat de Barcelona (Barcelona, Spain) supported by national grant from the
Instituto de Salud Carlos III FI20/00215. The Genome Research @ Fundació ACE project
(GR@ACE) is supported by Grifols SA, Fundación bancaria “La Caixa”, Fundació ACE,
and CIBERNED. A.R. and M.B. receive support from the European Union/EFPIA
Innovative Medicines Initiative Joint undertaking ADAPTED and MOPEAD projects
(grant numbers 115975 and 115985, respectively). M.B. and A.R. are also supported by
national grants PI13/02434, PI16/01861, PI17/01474, PI19/01240 and PI19/01301.
Acción Estratégica en Salud is integrated into the Spanish National R + D + I Plan and
funded by ISCIII (Instituto de Salud Carlos III)—Subdirección General de Evaluación
and the Fondo Europeo de Desarrollo Regional (FEDER—“Una manera de hacer
Europa”). The Alzheimer Center Amsterdam is supported by Stichting
Alzheimer Nederland and Stichting VUmc fonds. The clinical database structure was
developed with funding from Stichting Dioraphte. Genotyping of the Dutch case-control
samples was performed in the context of EADB (European Alzheimer DNA biobank)
funded by the JPco-fuND FP-829-029 (ZonMW project number 733051061). 100-Plus
study. This work was supported by Stichting Alzheimer
Nederland (WE09.2014-03), Stichting Diorapthe, horstingstuit foundation, Memorabel
(ZonMW project number 733050814, 733050512) and Stichting VUmc Fonds. Genotyping of the 100-Plus Study was performed in the context of EADB (European Alzheimer DNA biobank) funded by the JPco-fuND FP-829-029 (ZonMW project numb 733051061). Longitudinal Aging Study Amsterdam (LASA) is largely supported by a
grant from the Netherlands Ministry of Health, Welfare and Sports, Directorate of LongTerm Care. This work was supported by a
grant (European Alzheimer DNA BioBank, EADB) from the EU Joint Program—Neurodegenerative Disease Research (JPND) and also funded by Inserm, Institut Pasteur de
Lille, the Lille Métropole Communauté Urbaine, the French government’s LABEX
DISTALZ program (development of innovative strategies for a transdisciplinary
approach to AD). Genotyping of the German case-control samples was performed in the
context of EADB (European Alzheimer DNA biobank) funded by the JPco-fuND
(German Federal Ministry of Education and Research, BMBF: 01ED1619A). The i–Select chips was funded by the French National Foundation on AD and
related disorders. EADI was supported by the LABEX (laboratory of excellence program
investment for the future) DISTALZ grant, Inserm, Institut Pasteur de Lille, Université
de Lille 2 and the Lille University Hospital. GERAD was supported by the Medical
Research Council (Grant n° 503480), Alzheimer’s Research UK (Grant n° 503176), the
Wellcome Trust (Grant n° 082604/2/07/Z) and German Federal Ministry of Education
and Research (BMBF): Competence Network Dementia (CND) grant n° 01GI0102,
01GI0711, 01GI0420. CHARGE was partly supported by the NIA/NHLBI grants
AG049505, AG058589, HL105756 and AGES contract N01–AG–12100, the Icelandic
Heart Association, and the Erasmus Medical Center and Erasmus University. ADGC was
supported by the NIH/NIA grants: U01 AG032984, U24 AG021886, U01 AG016976, and
the Alzheimer’s Association grant ADGC–10–19672
Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.Peer reviewe
Long runs of homozygosity are associated with Alzheimer's disease
Altres ajuts: The Genome Research at Fundació ACE project (GR@ACE) is supported by Fundación bancaria "La Caixa," Grifols SA and Fundació ACE. L.M.R. is supported by Consejería de Salud de la Junta de Andalucía (Grant PI-0001/2017).Long runs of homozygosity (ROH) are contiguous stretches of homozygous genotypes, which are a footprint of inbreeding and recessive inheritance. The presence of recessive loci is suggested for Alzheimer's disease (AD); however, their search has been poorly assessed to date. To investigate homozygosity in AD, here we performed a fine-scale ROH analysis using 10 independent cohorts of European ancestry (11,919 AD cases and 9181 controls.) We detected an increase of homozygosity in AD cases compared to controls [ β (CI 95%) = 0.070 (0.037-0.104); P = 3.91 × 10 −5 ; β (CI95%) = 0.043 (0.009-0.076); P = 0.013]. ROHs increasing the risk of AD (OR > 1) were significantly overrepresented compared to ROHs increasing protection (p < 2.20 × 10 −16). A significant ROH association with AD risk was detected upstream the HS3ST1 locus (chr4:11,189,482‒11,305,456), (β (CI 95%) = 1.09 (0.48 ‒ 1.48), p value = 9.03 × 10 −4), previously related to AD. Next, to search for recessive candidate variants in ROHs, we constructed a homozygosity map of inbred AD cases extracted from an outbred population and explored ROH regions in whole-exome sequencing data (N = 1449). We detected a candidate marker, rs117458494, mapped in the SPON1 locus, which has been previously associated with amyloid metabolism. Here, we provide a research framework to look for recessive variants in AD using outbred populations. Our results showed that AD cases have enriched homozygosity, suggesting that recessive effects may explain a proportion of AD heritability
Genome-wide meta-analysis for Alzheimer's disease cerebrospinal fluid biomarkers
Amyloid-beta 42 (A beta 42) and phosphorylated tau (pTau) levels in cerebrospinal fluid (CSF) reflect core features of the pathogenesis of Alzheimer's disease (AD) more directly than clinical diagnosis. Initiated by the European Alzheimer & Dementia Biobank (EADB), the largest collaborative effort on genetics underlying CSF biomarkers was established, including 31 cohorts with a total of 13,116 individuals (discovery n = 8074; replication n = 5042 individuals). Besides the APOE locus, novel associations with two other well-established AD risk loci were observed; CR1 was shown a locus for A beta 42 and BIN1 for pTau. GMNC and C16orf95 were further identified as loci for pTau, of which the latter is novel. Clustering methods exploring the influence of all known AD risk loci on the CSF protein levels, revealed 4 biological categories suggesting multiple A beta 42 and pTau related biological pathways involved in the etiology of AD. In functional follow-up analyses, GMNC and C16orf95 both associated with lateral ventricular volume, implying an overlap in genetic etiology for tau levels and brain ventricular volume.Peer reviewe
Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease
Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease.</p
Common variants in Alzheimer’s disease and risk stratification by polygenic risk scores
Genetic discoveries of Alzheimer’s disease are the drivers of our understanding, and together with polygenetic risk stratification can contribute towards planning of feasible and efficient preventive and curative clinical trials. We first perform a large genetic association study by merging all available case-control datasets and by-proxy study results (discovery n = 409,435 and validation size n = 58,190). Here, we add six variants associated with Alzheimer’s disease risk (near APP, CHRNE, PRKD3/NDUFAF7, PLCG2 and two exonic variants in the SHARPIN gene). Assessment of the polygenic risk score and stratifying by APOE reveal a 4 to 5.5 years difference in median age at onset of Alzheimer’s disease patients in APOE ɛ4 carriers. Because of this study, the underlying mechanisms of APP can be studied to refine the amyloid cascade and the polygenic risk score provides a tool to select individuals at high risk of Alzheimer’s disease. © 2021, The Author(s)