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Record W2821257328 · doi:10.18632/oncotarget.25083

Genome-wide significant risk factors on chromosome 19 and the <i>APOE</i> locus

2018· article· en· W2821257328 on OpenAlexfundno aff
Sonia Moreno–Grau, Isabel Hernández, Stefanie Heilmann‐Heimbach, Susana Ruiz, Maitée Rosende‐Roca, Ana Mauleón, Liliana Vargas, Octavio Rodríguez‐Gómez, Montserrat Alegret, Ana Espinosa, Gemma Ortega, Núria Aguilera, Carla Abdelnour, Silvia Gil, Wolfgang Maier, Óscar Sotolongo‐Grau, Lluís Tárraga, Alfredo Ramı́rez, Jesús López-Arrrieta, Carmen Antúnez, Manuel Serrano‐Ríos, Merçé Boada, Agustı́n Ruiz

Bibliographic record

VenueOncotarget · 2018
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetics and Neurodevelopmental Disorders
Canadian institutionsnot available
FundersNational Institute on AgingEuropean Regional Development FundInstituto de Salud Carlos IIINational Institute of Biomedical Imaging and BioengineeringCanadian Institutes of Health ResearchGenentechNational Institutes of HealthF. Hoffmann-La RocheGrifolsIXICOH. Lundbeck A/SUniversitat Autònoma de BarcelonaServierInnovative Medicines InitiativeEisaiNorthern California Institute for Research and EducationPfizerBiogenBioClinicaUniversity of Southern CaliforniaEuropean CommissionEli Lilly and CompanyU.S. Department of DefenseMeso Scale DiagnosticsAlzheimer's Disease Neuroimaging InitiativeNovartis Pharmaceuticals CorporationBristol-Myers SquibbAlzheimer's AssociationFoundation for the National Institutes of Health
KeywordsGerontologyMedicineHumanitiesArt

Abstract

fetched live from OpenAlex

// Sonia Moreno-Grau 1 , Isabel Hernández 1 , Stefanie Heilmann-Heimbach 2, 3 , Susana Ruiz 1 , Maitée Rosende-Roca 1 , Ana Mauleón 1 , Liliana Vargas 1 , Octavio Rodríguez-Gómez 1 , Montserrat Alegret 1 , Ana Espinosa 1 , Gemma Ortega 1 , Nuria Aguilera 1 , Carla Abdelnour 1 , Alzheimer’s Disease Neuroimaging Initiative * , Silvia Gil 1 , Wolfgang Maier 4, 5 , Oscar Sotolongo-Grau 1 , Lluís Tárraga 1 , Alfredo Ramirez 2, 4, 6 , Jesús López-Arrrieta 7 , Carmen Antúnez 8 , Manuel Serrano-Ríos 9 , Mercè Boada 1 and Agustín Ruiz 1 1 Research Center and Memory Clinic of Fundació ACE, Institut Català de Neurociències Aplicades, Univesitat Internacional de Catalunya, Barcelona, Spain 2 Institute of Human Genetics, University of Bonn, Bonn, Germany 3 Department of Genomics, Life & Brain Center, University of Bonn, Bonn, Germany 4 Department of Psychiatry and Psychotherapy, University of Bonn, Bonn, Germany 5 German Center for Neurodegenerative Diseases, DZNE, Bonn, Germany 6 Department of Psychiatry and Psychotherapy, University of Cologne, Cologne, Germany 7 Memory Unit, University Hospital La Paz-Cantoblanco, Madrid, Spain 8 Dementia Unit, University Hospital Virgen de la Arrixaca, Murcia, Spain 9 Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas, CIBERDEM, Spain, Hospital Clínico San Carlos, Madrid, Spain * Data used in preparation of this article were obtained from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database (adni.loni.usc.edu). As such, the investigators within the ADNI contributed to the design and implementation of ADNI and/or Provided data but did not participate in analysis or writing of this report Correspondence to: Agustín Ruiz, email: aruiz@fundacioace.com Keywords: late onset Alzheimer’s disease; ABCA7; APOE; CD33; linkage disequilibrium; Gerotarget Received: December 13, 2017 Accepted: March 22, 2018 Published: May 15, 2018 ABSTRACT The apolipoprotein E ( APOE ) gene on chromosome 19q13.32, was the first, and remains the strongest, genetic risk factor for Alzheimer’s disease (AD). Additional signals associated with AD have been located in chromosome 19, including ABCA7 (19p13.3) and CD33 (19q13.41). The ABCA7 gene has been replicated in most populations. However, the contribution to AD of other signals close to APOE gene remains controversial. Possible explanations for inconsistency between reports include long range linkage disequilibrium (LRLD). We analysed the contribution of ABCA7 and CD33 loci to AD risk and explore LRLD patterns across APOE region. To evaluate AD risk conferred by ABCA7 rs4147929:G>A and CD33 rs3865444:C>A, we used a large Spanish population (1796 AD cases, 2642 controls). The ABCA7 rs4147929:G>A SNP effect was nominally replicated in the Spanish cohort and reached genome-wide significance after meta-analysis (odds ratio (OR)=1.15, 95% confidence interval (95% CI)=1.12–1.19; P = 1.60 x 10 -19 ). CD33 rs3865444:C>A was not associated with AD in the dataset. The meta-analysis was also negative (OR=0.98, 95% CI=0.93–1.04; P =0.48). After exploring LRLD patterns between APOE and CD33 in several datasets, we found significant LD (D’ >0.20; P <0.030) between APOE -Ɛ2 and CD33 rs3865444C>A in two of five datasets, suggesting the presence of a non-universal long range interaction between these loci affecting to some populations. In conclusion, we provide here evidence of genetic association of the ABCA7 locus in the Spanish population and also propose a plausible explanation for the controversy on the contribution of CD33 to AD susceptibility.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.018

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0050.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.007
GPT teacher head0.212
Teacher spread0.205 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations30
Published2018
Admission routes1
Has abstractyes

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