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Enregistrement W2766402513 · doi:10.1016/j.jalz.2017.06.1945

[P4–080]: CANDIDATE GENE STUDIES AND GWAS SUGGEST SUBSTANTIAL GENETIC INFLUENCE ON DEFICITS IN OLFACTORY IDENTIFICATION AMONG PERSONS AT RISK OF AD

2017· article· en· W2766402513 sur OpenAlexaff
Marie‐Élyse Lafaille‐Magnan, Cynthia Picard, Justin Miron, Judes Poirier, John C.S. Breitner

Notice bibliographique

RevueAlzheimer s & Dementia · 2017
Typearticle
Langueen
DomaineNeuroscience
ThématiqueOlfactory and Sensory Function Studies
Établissements canadiensMcGill UniversityDouglas Mental Health University Institute
Organismes subventionnairesnon disponible
Mots-clésSingle-nucleotide polymorphismGenome-wide association studyGeneticsSNPGenetic associationBiologyCandidate geneGenotypeGene

Résumé

récupéré en direct d'OpenAlex

The olfactory network is vulnerable to AD pathology. We recently reported that deficits in olfactory identification (OI) are associated with CSF AD biomarkers. Past genome-wide association studies (GWAS) suggested that MAPT (encodes microtubule-associated protein tau) is a susceptibility locus for OI impairment (Dong, 2015). The CDK5 signalling pathway (involves tau phosphorylation) was also strongly associated with OI. Because genetic influences on OI may illuminate underlying structures’ susceptibility to neurodegeneration, we investigated association of polymorphisms with OI. Using a candidate gene approach in individuals at risk of AD, we examined association of OI with neurodegeneration-associated SNPs rs199443 in MAPT and rs10984186 in CDK5RAP2, focusing on OI – SNP associations reported by Dong (2015, 2016) and several other AD-related SNPs (Lambert, 2013). Pyrosequencing techniques and a 2.5M-SNP GeneChip provided data for these analyses and an exploratory GWAS for SNPs associated with OI. We studied the family-history-positive PREVENT-AD cohort of cognitively normal individuals aged 55–83 using the 40-item University of Pennsylvania Smell Identification Test (UPSIT). DNA was extracted from blood. Automated genotyping relied on the Illumina Infinium Omni 2.5M-8 GeneChip. We used Matlab to evaluate the differences in OI across polymorphisms and in linear regression for allele-dosage studies. We identified SNPs associated with OI using PLINK and Haploview. Genome-wide data were available for 136 participants. After quality-control 2.28 million SNPs were available for analysis. We found a modest association of OI impairment with rs10984186 in CDK5RAP2 (Kruskal-Wallis, p<0.05) and a trend for rs199443 in MAPT (p=0.07; Figs 1 & 2). Allelic dose response analysis further clarified these correlations (CDK5RAP2 β=0.0521, p=0.07; MAPT β=0.701, p=0.0238). Several SNPs identified by Dong (2015, 2016) and Lambert (2013) showed no significant association. The GWAS identified 26 SNPs with genome-wide significance (P < 5 × 10−8; Fig 3), of which 22 survived adjustment for age, gender, and APOE ε4 status (Fig 4). In a sample at risk of AD we found limited association of OI impairment with polymorphisms in MAPT and CDK5RAP2. A GWAS identified several new SNPs related to OI, including three on chromosome 14 and one on chromosome 3 with p-values <10–12. UPSIT and the MAPT rs199443 polymorphisms. The C allele is the risk allele is associated with increased MAPT expression level in the frontal cortex [2](Dong, 2015). Presence of the C allele is associated with lower OI in older adults at risk of AD. Participants included were 81 CC, 44 CT, 10 TT. A Kruskal-Wallis revealed a trend for group differences in OI (X2(2)=5.29, p=0.071, df=2, n=135). Linear regression suggested that a minor (“protective”) allele dose response (F(1,133)=3.7683, p=0.0543, R2=0.0508). The dosage ranges from 0 to 2, where 0 doesn't have a copy of the minor allele (T allele) and 2 as 2 copies of the minor allele. UPSIT = University of Pennsylvania Smell Identification Test. MAPT = microtubule-associated protein tau. UPSIT and the CDK5RAP2 rs10984186 polymorphisms. This genotyping was pyrosequenced separately from the gene chip, thus we have data on 141 individuals. CDK5 regulatory subunit-associated protein 2 (CDK5RAP2) binds to the CDK5 complex, which is involved in Tau phosphorylation. Participants included were 77 GG, 53 AG, 12 AA. A Kruskal-Wallis revealed there were significant group differences in OI (X2(2)= 6.13, p=0.0466, df=2, n=141). Linear regression suggested that the minor allele dose response predicts lower OI (F(2,139)=3.61, p=0.0297, R2=0.0494). The dosage ranges from 0 to 2, where 0 doesn't have a copy of the minor allele (A allele) and 2 as 2 copies of the minor allele. UPSIT = University of Pennsylvania Smell Identification Test. Manhattan plots of the genome-wide association study of olfactory identification. The blue line indicates the genome-wide suggestive threshold (1*10ˆ-5), The red line indicates the genome-wide significance threshold (5*10ˆ-8). There were 26 SNPs that reached the genome-wide significance threshold. Note that 4 SNPs on chromosome 3 and 14 had a P<5*10ˆ-12. Manhattan plots of the genome-wide association study of olfactory identification after adjusting for age, gender, and APOE 4. The blue line indicates the genome-wide suggestive threshold (1*10ˆ-5), The red line indicates the genome-wide significance threshold (5*10ˆ-8). We found that 22 SNPs survived adjustment for age, gender, and APOE 4 carrier status and identified 9 new SPNs for a total of 31 SPNs. Note that 4 SNPs on chromosome 3 and 14 conserved a P<5*10ˆ-12 after adjusting for covariates.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,002
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,021
Score d'incertitude au seuil0,069

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0010,002
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,002
Études des sciences et des technologies0,0010,001
Communication savante0,0010,000
Science ouverte0,0010,001
Intégrité de la recherche0,0020,001
Charge utile insuffisante (le modèle a refusé de juger)0,0210,002

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,117
Tête enseignante GPT0,298
Écart entre enseignants0,182 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2017
Routes d'admission1
Résumé présentoui

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