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Record W3208830048 · doi:10.1101/2021.10.19.21265022

Challenges at the <i>APOE</i> locus: A robust quality control approach for accurate <i>APOE</i> genotyping

2021· preprint· en· W3208830048 on OpenAlexfundno aff
Michaël E. Belloy, Sarah J. Eger, Yann Le Guen, Vincent Damotte, Shahzad Ahmad, M. Arfan Ikram, Alfredo Ramı́rez, Anthoula Tsolaki, Giacomina Rossi, Iris E. Jansen, Itziar de Rojas, Kayenat Parveen, Kristel Sleegers, Martin Ingelsson, Mikko Hiltunen, Najaf Amin, Ole A. Andreassen, Pascual Sánchez‐Juan, Patrick G. Kehoe, Philippe Amouyel, Rebecca Sims, Ruth Frikke‐Schmidt, Wiesje M. van der Flier, Jean‐Charles Lambert, Zihuai He, Summer S. Han, Valerio Napolioni, Michael D. Greicius

Bibliographic record

VenuemedRxiv · 2021
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenetic Associations and Epidemiology
Canadian institutionsnot available
FundersNational Human Genome Research InstituteNational Institute on AgingNational Institutes of HealthAssociazione Italiana Ricerca AlzheimerUK Dementia Research InstituteMedical Research CouncilServierUniversity College London Hospitals NHS Foundation TrustSahlgrenska UniversitetssjukhusetVetenskapsrådetNovo NordiskNational Institute of Diabetes and Digestive and Kidney DiseasesIXICOKnut och Alice Wallenbergs StiftelseKarolinska InstitutetJuho Vainion SäätiöMinistero dell’Istruzione, dell’Università e della RicercaMinisterstvo Zdravotnictví Ceské RepublikySuomen KulttuurirahastoKing's College LondonAcademy of FinlandSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungMinistero della SaluteInstitut National de la Santé et de la Recherche MédicaleUniversität HeidelbergVlaamse regeringNational Institute for Health and Care ResearchNational Research FoundationGenentechFondation pour la Recherche sur AlzheimerSocialdepartementetEuropean CommissionUniversity of CambridgeMinisterio de Economía y CompetitividadBundesministerium für Bildung und ForschungNational Institute for Social Care and Health ResearchMinisterstvo Školství, Mládeže a TělovýchovyHigher Education Funding Council for WalesNational Alzheimer's Coordinating CenterNederlandse Organisatie voor Wetenschappelijk OnderzoekDeutsche ForschungsgemeinschaftDipartimenti di EccellenzaFundação para a Ciência e a TecnologiaPfizerEU Joint Programme – Neurodegenerative Disease ResearchCenter for Innovative MedicineSorbonne UniversitéUniversiteit AntwerpenNorthern California Institute for Research and EducationSouth London and Maudsley NHS Foundation TrustAgence Nationale de la RechercheBiogenBioClinicaSeinäjoen KeskussairaalaUniverzita Karlova v PrazeF. Hoffmann-La RocheUniversidade de AveiroUniversity of PennsylvaniaAXA Research FundCanadian Institutes of Health ResearchAlzheimer's SocietyUniversity of SouthamptonEisaiFoundation for the National Institutes of HealthUniversity of Southern CaliforniaFonds Wetenschappelijk OnderzoekMeso Scale DiagnosticsYrjö Jahnssonin SäätiöCardiff UniversityEli Lilly and CompanyNational Heart, Lung, and Blood InstituteItä-Suomen YliopistoH. Lundbeck A/SUniversity of NottinghamEmory UniversityDevelopment of Innovative Strategies for a Transdisciplinary approach to ALZheimer's diseaseBristol-Myers SquibbEconomic and Social Research CouncilNovartis Pharmaceuticals CorporationUniversité de LilleAlzheimer's Association
KeywordsApolipoprotein EGenotypingGenotypeLocus (genetics)AlleleGeneticsBiologySingle-nucleotide polymorphismDiseaseComputational biologyMedicineInternal medicineGene

Abstract

fetched live from OpenAlex

Abstract Background Genetic variants within the APOE locus may modulate Alzheimer’s disease (AD) risk independently or in conjunction with APOE *2/3/4 genotypes. Identifying such variants and mechanisms would importantly advance our understanding of APOE pathophysiology and provide critical guidance for AD therapies aimed at APOE . The APOE locus however remains relatively poorly understood in AD, owing to multiple challenges that include its complex linkage structure and uncertainty in APOE *2/3/4 genotype quality. Here, we present a novel APOE *2/3/4 filtering approach and showcase its relevance on AD risk association analyses for the rs439401 variant, which is located 1,801 base pairs downstream of APOE and has been associated with a potential regulatory effect on APOE . Methods We used thirty-two AD-related cohorts, with genetic data from various high-density single- nucleotide polymorphism microarrays, whole-genome sequencing, and whole-exome sequencing. Study participants were filtered to be ages 60 and older, non-Hispanic, of European ancestry, and diagnosed as cognitively normal or AD (n=65,701). Primary analyses investigated AD risk in APOE *4/4 carriers. Additional supporting analyses were performed in APOE *3/4 and 3/3 strata. Outcomes were compared under two different APOE *2/3/4 filtering approaches Results Using more conventional APOE *2/3/4 filtering criteria (approach 1), we showed that, when in- phase with APOE *4, rs439401 was variably associated with protective effects on AD case-control status. However, when applying a novel filter that increases certainty of the APOE *2/3/4 genotypes by applying more stringent criteria for concordance between the provided APOE genotype and imputed APOE genotype (approach 2), we observed that all significant effects were lost. Conclusions We showed that careful consideration of APOE genotype and appropriate sample filtering were crucial to robustly interrogate the role of the APOE locus on AD risk. Our study presents a novel APOE filtering approach and provides important guidelines for research into the APOE locus, as well as for elucidating genetic interaction effects with APOE *2/3/4.

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)0.065
metaresearch head score (Gemma)0.099
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: Methods
Teacher disagreement score0.065
Threshold uncertainty score0.344

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0650.099
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0020.002
Science and technology studies0.0010.002
Scholarly communication0.0040.001
Open science0.0020.002
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0010.001

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 head0.080
GPT teacher head0.314
Teacher spread0.234 · 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 designBench or experimental
Domainnot available
GenreMethods

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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Citations2
Published2021
Admission routes1
Has abstractyes

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Same venuemedRxiv→Same topicGenetic Associations and Epidemiology→French-language works237,207→