Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s disease
Open accessPublished version of a preprint
Abstract
Alzheimer’s disease (AD), the leading cause of dementia, has an estimated heritability of approximately 70% 1 . The genetic component of AD has been mainly assessed using genome-wide association studies, which do not capture the risk contributed by rare variants 2 . Here, we compared the gene-based burden of rare damaging variants in exome sequencing data from 32,558 individuals—16,036 AD cases and 16,522 controls. Next to variants in TREM2 , SORL1 and ABCA7 , we observed a significant association of rare, predicted damaging variants in ATP8B4 and ABCA1 with AD risk, and a suggestive signal in ADAM10 . Additionally, the rare-variant burden in RIN3, CLU, ZCWPW1 and ACE highlighted these genes as potential drivers of respective AD-genome-wide association study loci. Variants associated with the strongest effect on AD risk, in particular loss-of-function variants, are enriched in early-onset AD cases. Our results provide additional evidence for a major role for amyloid-β precursor protein processing, amyloid-β aggregation, lipid metabolism and microglial function in AD.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Genome-wide association studies and high-throughput sequencing have led to the characterization of 76 loci associated with AD risk.
“leading to the characterization of 76 loci associated with the AD risk6–8”
From PLCG2 downregulation impairs synaptic function and increases Alzheimer’s disease hallmarks in neuronal cultures (2026) · cites this paper as [7]
The Main section says GWAS identified 75 AD-risk loci in populations with European ancestry and that DNA sequencing identified additional rare risk variants. It does not support the claimed count of 76 loci. (LLM, conf=0.88)
Experimental — accuracy not yet measuredRare variants in ABCA1 increase the risk of developing Alzheimer's disease.
“Rare variants in ABCA1 increase the risk of developing Alzheimer's disease (AD).”
From Deletion of miR-33, a regulator of the ABCA1–APOE pathway, ameliorates neuropathological phenotypes in APP/PS1 mice (2024) · cites this paper as [5]
The ABCA1 gene is a novel genetic risk factor for AD.
“Recently, however, the ABCA1 gene was identified as a novel genetic risk factor for AD. 5 , 6”
From Deletion of miR-33, a regulator of the ABCA1–APOE pathway, ameliorates neuropathological phenotypes in APP/PS1 mice (2024) · cites this paper as [5]
The discovery of disease-relevant alleles that map to two well-studied ATP-dependent lipid pumps, ABCA1 and ABCA7, highlights a potential role for extracellular LNP modification.
“The discovery of disease-relevant alleles that map to two well-studied ATP-dependent lipid pumps, ABCA1 and ABCA7,55, 56 highlights a potential role for extracellular LNP modification.”
From ApoE is Secreted as a Lipid Nanoparticle by Mammalian Cells: Implications for Alzheimer’s Disease Pathogenesis (2025) · cites this paper as [55]
In the SRC gene, loss-of-function variants and missense variants with a REVEL score >50 were jointly associated with AD risk (OR = 4.23, 95% CI = 2.04-8.79, P = 1.06 × 10−4) in the ADES-ADSP summary statistics.
“In the SRC gene, loss-of-function variants and missense variants with a REVEL score of >50 were jointly associated with AD risk (odds ratio (OR) = 4.23, 95% confidence interval (CI) = 2.04–8.79, P = 1.06 × 10−4; Supplementary Table 8) in the Alzheimer Disease European Sequencing (ADES) - Alzheimer’s Disease Sequencing Project (ADSP) summary statistics10.”
From Consensus meta-analysis of genome-wide association studies for Alzheimer’s disease and related dementias (2026) · cites this paper as [10]
The Main section describes testing combined loss-of-function and REVEL-scored missense variants, but the passages found do not report a result for SRC. Searches for SRC, ADES–ADSP, OR 4.23, the stated confidence interval, and P = 1.06 × 10−4 found no passage supporting the specific association. (LLM, conf=0.76)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
McKhann, G. M., Knopman, D. S., Chertkow, H., Hyman, B. T., Jack, C. R., Kawas, C. H., Klunk, W. E., Koroshetz, W. J., Manly, J. J., Mayeux, R., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.005 · Cited by 18,657 · see citing works
Self-citationNew insights into the genetic etiology of Alzheimer’s disease and related dementias
Bellenguez, C., Küçükali, F., Jansen, I. E., Kleineidam, L., Moreno-Grau, S., Amin, N., Naj, A. C., Campos-Martin, R., Grenier-Boley, B., Andrade, V., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01024-z · Cited by 2,498 · see citing works
Self-citationTREM2-mediated early microglial response limits diffusion and toxicity of amyloid plaques
Wang, Y., Ulland, T. K., Ulrich, J. D., Song, W., Tzaferis, J. A., Hole, J. T., Yuan, P., Mahan, T. E., Shi, Y., Gilfillan, S., et al. (2016) · Journal of Experimental Medicine · doi:10.1084/jem.20151948 · Cited by 840 · see citing works
Clusterin in Alzheimer’s Disease: Mechanisms, Genetics, and Lessons From Other Pathologies
Foster, E. M., Dangla-Valls, A., Lovestone, S., Ribe, E. M., & Buckley, N. J. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00164 · Cited by 381 · see citing works
Overexpression of ABCA1 reduces amyloid deposition in the PDAPP mouse model of Alzheimer disease
Wahrle, S. E., Jiang, H., Parsadanian, M., Kim, J., Li, A., Knoten, A., Jain, S., Hirsch-Reinshagen, V., Wellington, C. L., Bales, K. R., et al. (2008) · Journal of Clinical Investigation · doi:10.1172/jci33622 · Cited by 370 · see citing works
Bellenguez, C., Charbonnier, C., Grenier-Boley, B., Quenez, O., Le Guennec, K., Nicolas, G., Chauhan, G., Wallon, D., Rousseau, S., Richard, A. C., et al. (2017) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2017.07.001 · Cited by 166 · see citing works
Self-citationCuyvers, E., De Roeck, A., Van den Bossche, T., Van Cauwenberghe, C., Bettens, K., Vermeulen, S., Mattheijssens, M., Peeters, K., Engelborghs, S., Vandenbulcke, M., et al. (2015) · The Lancet Neurology · doi:10.1016/s1474-4422(15)00133-7 · Cited by 152 · see citing works
Flagged first, then by citations
Research works printed but not linked: 26
- [1]Gatz M Role of genes and environments for explaining Alzheimer disease Arch. Gen. Psychiatry 2006 63 168 174 10.1001/archpsyc.63.2.168 16461860 · DOI · Paper page
- [3]Holstege H Characterization of pathogenic SORL1 genetic variants for association with Alzheimer’s disease: a clinical interpretation strategy Eur. J. Hum. Genet. 2017 25 973 981 10.1038/ejhg.2017.87 28537274 PMC5567154 · DOI
- [4]Nicolas G SORL1 rare variants: a major risk factor for familial early-onset Alzheimer’s disease Mol. Psychiatry 2016 21 831 836 10.1038/mp.2015.121 26303663 · DOI · Paper page
- [6]Jonsson T Variant of TREM2 associated with the risk of Alzheimer’s disease N. Engl. J. Med. 2013 368 107 116 10.1056/NEJMoa1211103 23150908 PMC3677583 · DOI · Paper page
- [7]Guerreiro R TREM2 variants in Alzheimer’s disease N. Engl. J. Med. 2013 368 117 127 10.1056/NEJMoa1211851 23150934 PMC3631573 · DOI · Paper page
- [9]Gao L Identification of rare variants in ATP8B4 as a risk factor for systemic sclerosis by whole-exome sequencing Arthritis Rheumatol. 2016 68 191 200 10.1002/art.39449 26473621 PMC4690763 · DOI
- [11]Koldamova R Staufenbiel M Lefterov I Lack of ABCA1 considerably decreases brain ApoE level and increases amyloid deposition in APP23 Mice J. Biol. Chem. 2005 280 43224 43235 10.1074/jbc.M504513200 16207713 · DOI · Paper page
- [12]Nordestgaard LT Tybjaerg-Hansen A Nordestgaard BG Frikke-Schmidt R Loss-of-function mutation in ABCA1 and risk of Alzheimer’s disease and cerebrovascular disease Alzheimers Dement. 2015 11 1430 1438 10.1016/j.jalz.2015.04.006 26079414 · DOI · Paper page
- [13]Saftig P Lichtenthaler SF The alpha secretase ADAM10: a metalloprotease with multiple functions in the brain Prog. Neurobiol. 2015 135 1 20 10.1016/j.pneurobio.2015.10.003 26522965 · DOI
- [14]Kim M Potential late-onset Alzheimer’s disease-associated mutations in the ADAM10 gene attenuate α-secretase activity Hum. Mol. Genet. 2009 18 3987 3996 10.1093/hmg/ddp323 19608551 PMC2748890 · DOI · Paper page
- [15]Agüero P α-Secretase nonsense mutation (ADAM10 Tyr167*) in familial Alzheimer’s disease Alzheimers Res. Ther. 2020 12 139 10.1186/s13195-020-00708-0 33129344 PMC7603780 · DOI
- [16]Shen R Upregulation of RIN3 induces endosomal dysfunction in Alzheimer’s disease Transl. Neurodegener. 2020 9 26 10.1186/s40035-020-00206-1 32552912 PMC7301499 · DOI
- [17]Shen R Wu C RIN3 binds to BIN1 and CD2AP to increase APP‐CTFS in early endosomes Alzheimers Dement. 2020 16 e047161 10.1002/alz.047161 · DOI
- [19]Hu J Igarashi A Kamata M Nakagawa H Angiotensin-converting enzyme degrades Alzheimer amyloid β-peptide (Aβ); retards Aβ aggregation, deposition, fibril formation; and inhibits cytotoxicity J. Biol. Chem. 2001 276 47863 47868 10.1074/jbc.M104068200 11604391 · DOI
- [20]Backman JD Exome sequencing and analysis of 454,787 UK Biobank participants Nature 2021 599 628 634 10.1038/s41586-021-04103-z 34662886 PMC8596853 · DOI
- [21]Bis JC Whole exome sequencing study identifies novel rare and common Alzheimer’s-associated variants involved in immune response and transcriptional regulation Mol. Psychiatry 2020 25 1859 1875 10.1038/s41380-018-0112-7 30108311 PMC6375806 · DOI · Paper page
- [23]McKhann G Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease Neurology 1984 34 939 944 10.1212/WNL.34.7.939 6610841 · DOI · Paper page
- [24]Frankish A GENCODE reference annotation for the human and mouse genomes Nucleic Acids Res. 2019 47 D766 D773 10.1093/nar/gky955 30357393 PMC6323946 · DOI
- [25]McLaren W The Ensembl Variant Effect Predictor Genome Biol. 2016 17 122 10.1186/s13059-016-0974-4 27268795 PMC4893825 · DOI · Paper page
- [26]Ioannidis NM REVEL: an ensemble method for predicting the pathogenicity of rare missense variants Am. J. Hum. Genet. 2016 99 877 885 10.1016/j.ajhg.2016.08.016 27666373 PMC5065685 · DOI · Paper page
- [27]Liu X Li C Mou C Dong Y Tu Y dbNSFP v4: a comprehensive database of transcript-specific functional predictions and annotations for human nonsynonymous and splice-site SNVs Genome Med. 2020 12 103 10.1186/s13073-020-00803-9 33261662 PMC7709417 · DOI
- [28]Karczewski KJ The mutational constraint spectrum quantified from variation in 141,456 humans Nature 2020 581 434 443 10.1038/s41586-020-2308-7 32461654 PMC7334197 · DOI · Paper page
- [31]Schwartzentruber J Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes Nat. Genet. 2021 53 392 402 10.1038/s41588-020-00776-w 33589840 PMC7610386 · DOI · Paper page
- [32]Cole P MacMahon B Attributable risk percent in case-control studies Br. J. Prev. Soc. Med. 1971 25 242 244 5160433 PMC478665
- [34]Holstege, H. et al. Summary statistics for “Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s Disease”. Zenodo (2022) 10.5281/zenodo.6818051 PMC9729101 36411364 · DOI
- [35]Hulsman, M. & Holstege, H. Software (v.0.1.0) used in “Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer’s Disease”. Zenodo (2022) 10.5281/zenodo.6827458 PMC9729101 36411364 · DOI
Cited by
Sorted by citations
Litvinchuk, A., Suh, J. H., Guo, J. L., Lin, K., Davis, S. S., Bien-Ly, N., Tycksen, E., Tabor, G. T., Remolina Serrano, J., Manis, M., et al. (2024) · Neuron · doi:10.1016/j.neuron.2023.10.023 · Cited by 161 · see citing works
Morató, X., Pytel, V., Jofresa, S., Ruiz, A., & Boada, M. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23169305 · Cited by 53 · see citing works
Hein, Z. M., Karikalan, B., Gopalakrishna, P. K., Dhevi, K., Alkatiri, A., Hussan, F., Mohd Moklas, M. A., Jagadeesan, S., Che Ramli, M. D., Che Mohd Nassir, C. M. N., et al. (2026) · Molecular Neurobiology · doi:10.1007/s12035-025-05602-0 · Cited by 43 · see citing works
Genetic associations with age at dementia onset in the <i>PSEN1 E280A</i> Colombian kindred
Cochran, J. N., Acosta‐Uribe, J., Esposito, B. T., Madrigal, L., Aguillón, D., Giraldo, M. M., Taylor, J. W., Bradley, J., Fulton‐Howard, B., Andrews, S. J., et al. (2023) · Alzheimer's & Dementia · doi:10.1002/alz.13021 · Cited by 21 · see citing works
Self-citationTate, M., Wijeratne, H. R. S., Kim, B., Philtjens, S., You, Y., Lee, D., Gutierrez, D. A., Sharify, D., Wells, M., Perez‐Cardelo, M., et al. (2024) · Alzheimer's & Dementia · doi:10.1002/alz.14243 · Cited by 16 · see citing works
EADB, Bellenguez, C., Castillo Morales, A., Amin, N., van der Lee, S. J., Muntaner, M., Parveen, K., Küçükali, F., Grenier-Boley, B., Heikkinen, S., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02583-1 · Cited by 7 · see citing works
“Of these, 51 genes were available in the ADES-ADSP summary statistics for the comparison of gene-based rare-variant burdens between 12,652 AD cases and 8,693 controls 10 (Supplementary Table 8).”
InfluentialSelf-citationCoulon, A., Rabiller, F., Takalo, M., Roy, A., Pelletier, A., Martiskainen, H., Siedlecki-Wullich, D., Lannette-Weimann, N., Majerníková, N., Grenon, A., et al. (2024) · doi:10.1101/2024.04.29.591575 · Cited by 3 · see citing works
Self-citationHernandez Arriaza, R., Reil, D., Fatuzzo, N., Fu, M., Dai, Y., Fernandez Martinez, D., Jiang, H., Holtzman, D. M., Greicius, M. D., & Khosla, C. (2025) · Biochemistry · doi:10.1021/acs.biochem.5c00503 · Cited by 2 · see citing works
Self-citationCoulon, A., Rabiller, F., Takalo, M., Roy, A., Pelletier, A., Martiskainen, H., Siedlecki-Wullich, D., Lannette-Weimann, N., Majerníková, N., Grenon, A., et al. (2026) · Nature Genetics · doi:10.1038/s41588-026-02709-5 · Cited by 1 · see citing works
Self-citation
- Authors
- Holstege, H., Hulsman, M., Charbonnier, C., Grenier-Boley, B., Quenez, O., Grozeva, D., van Rooij, J. G. J., Sims, R., Ahmad, S., Amin, N., Norsworthy, P. J., Dols-Icardo, O., Hummerich, H., Kawalia, A., Amouyel, P., Beecham, G. W., Berr, C., Bis, J. C., Boland, A., Bossù, P., Bouwman, F., Bras, J., Campion, D., Cochran, J. N., Daniele, A., Dartigues, J.-F., Debette, S., Deleuze, J.-F., Denning, N., DeStefano, A. L., Farrer, L. A., Fernández, M. V., Fox, N. C., Galimberti, D., Genin, E., Gille, J. J. P., Le Guen, Y., Guerreiro, R., Haines, J. L., Holmes, C., Ikram, M. A., Ikram, M. K., Jansen, I. E., Kraaij, R., Lathrop, M., Lemstra, A. W., Lleó, A., Luckcuck, L., Mannens, M. M. A. M., Marshall, R., Martin, E. R., Masullo, C., Mayeux, R., Mecocci, P., Meggy, A., Mol, M. O., Morgan, K., Myers, R. M., Nacmias, B., Naj, A. C., Napolioni, V., Pasquier, F., Pastor, P., Pericak-Vance, M. A., Raybould, R., Redon, R., Reinders, M. J. T., Richard, A.-C., Riedel-Heller, S. G., Rivadeneira, F., Rousseau, S., Ryan, N. S., Saad, S., Sanchez-Juan, P., Schellenberg, G. D., Scheltens, P., Schott, J. M., Seripa, D., Seshadri, S., Sie, D., Sistermans, E. A., Sorbi, S., van Spaendonk, R., Spalletta, G., Tesi, N., Tijms, B., Uitterlinden, A. G., van der Lee, S. J., Visser, P. J., Wagner, M., Wallon, D., Wang, L.-S., Zarea, A., Clarimon, J., van Swieten, J. C., Greicius, M. D., Yokoyama, J. S., Cruchaga, C., Hardy, J., Ramirez, A., Mead, S., van der Flier, W. M., van Duijn, C. M., Williams, J., Nicolas, G., Bellenguez, C., & Lambert, J.-C.
- Affiliations
- Amsterdam Neuroscience (NL)
- Inserm (FR)
- Cardiff University (GB)
- Erasmus MC (NL)
- MRC Prion Unit (GB)
- University of Cologne (DE)
- University of Miami (US)
- University of Washington (US)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- Van Andel Institute (US)
- Agostino Gemelli University Polyclinic (IT)
- Boston University (US)
- University of Milan (IT)
- University of Southampton (GB)
- Universitat Autònoma de Barcelona (ES)
- Amsterdam University Medical Centers (NL)
- Università Cattolica del Sacro Cuore (IT)
- University of Perugia (IT)
- University of Nottingham (GB)
- Don Carlo Gnocchi Foundation (IT)
- Università di Camerino (IT)
- Centre National de la Recherche Scientifique (FR)
- UCL Queen Square Institute of Neurology (GB)
- Universidad de Cantabria (ES)
- Vrije Universiteit Amsterdam (NL)
- University of Bonn (DE)
- University of California, San Francisco (US)
- Washington University in St. Louis (US)
- Corresponding author
- Holstege, Henne
- Hulsman, Marc
- Nicolas, Gaël
- Lambert, Jean-Charles
- ORCID
- Holstege, Henne
- Hulsman, Marc
- Charbonnier, Camille
- Quenez, Olivier
- Grozeva, Detelina
- Sims, Rebecca
- Ahmad, Shahzad
- Amin, Najaf
- Norsworthy, Penny J.
- Dols-Icardo, Oriol
- Hummerich, Holger
- Kawalia, Amit
- Amouyel, Philippe
- Beecham, Gary W.
- Berr, Claudine
- Bis, Joshua C.
- Boland, Anne
- Bossù, Paola
- Bouwman, Femke
- Campion, Dominique
- Cochran, J. Nicholas
- Dartigues, Jean-François
- Debette, Stéphanie
- Deleuze, Jean-François
- Denning, Nicola
- DeStefano, Anita L.
- Farrer, Lindsay A.
- Fernández, Maria Victoria
- Fox, Nick C.
- Galimberti, Daniela
- Genin, Emmanuelle
- Le Guen, Yann
- Guerreiro, Rita
- Haines, Jonathan L.
- Holmes, Clive
- Ikram, M. Arfan
- Jansen, Iris E.
- Kraaij, Robert
- Lemstra, Afina W.
- Lleó, Alberto
- Mannens, Marcel M. A. M.
- Martin, Eden R.
- Masullo, Carlo
- Mayeux, Richard
- Mecocci, Patrizia
- Mol, Merel O.
- Morgan, Kevin
- Myers, Richard M.
- Nacmias, Benedetta
- Naj, Adam C.
- Napolioni, Valerio
- Pasquier, Florence
- Pastor, Pau
- Pericak-Vance, Margaret A.
- Raybould, Rachel
- Redon, Richard
- Reinders, Marcel J. T.
- Riedel-Heller, Steffi G.
- Rivadeneira, Fernando
- Ryan, Natalie S.
- Saad, Salha
- Sanchez-Juan, Pascual
- Schellenberg, Gerard D.
- Scheltens, Philip
- Schott, Jonathan M.
- Seripa, Davide
- Seshadri, Sudha
- Sie, Daoud
- Sistermans, Erik A.
- Sorbi, Sandro
- van Spaendonk, Resie
- Spalletta, Gianfranco
- Tesi, Niccolo’
- Tijms, Betty
- Uitterlinden, André G.
- van der Lee, Sven J.
- Visser, Pieter Jelle
- Wagner, Michael
- Wallon, David
- Wang, Li-San
- Greicius, Michael D.
- Yokoyama, Jennifer S.
- Cruchaga, Carlos
- Hardy, John
- Ramirez, Alfredo
- Mead, Simon
- van der Flier, Wiesje M.
- van Duijn, Cornelia M.
- Williams, Julie
- Nicolas, Gaël
- Bellenguez, Céline
- Lambert, Jean-Charles
- Venue
- Nature Genetics
- Published
- 2022-11-21
- Volume
- 54
- Issue
- 12
- Pages
- 1786-1794
- ISSN
- 1061-4036 (ISSN-L)
- 1546-1718
- PMC
- PMC9729101
- OpenAlex
- W4309664456
- Cited by
- 226
- References
- 7
- Citations by year
- 2026: 37 · 2025: 66 · 2024: 76 · 2023: 33 · 2022: 9 · 2021: 4 · 2020: 1
- FWCI
- 28.49
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Nature Genetics (publishedVersion, cc-by)
- medRxiv (acceptedVersion)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Kölner Universitäts PublikationsServer (Universität zu Köln) (publishedVersion)
- Amsterdam UMC (VU Amsterdam) - Institutional Repository (publishedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (publishedVersion, cc-by)
- VU Research Portal (publishedVersion, other-oa)
- ePrints Soton (University of Southampton) (acceptedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- Pure Amsterdam UMC (acceptedVersion, cc-by)
- HAL (submittedVersion)
- HAL (submittedVersion, cc-by)
- Dipòsit Digital de Documents de la UAB (Universitat Autònoma de Barcelona) (submittedVersion, cc-by)
- Repository@Nottingham (University of Nottingham) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- EUR Research Repository (Erasmus University Rotterdam) (submittedVersion, cc-by)
- Archivio Istituzionale della Ricerca (Universita Degli Studi Di Milano) (submittedVersion, other-oa)
- UCL Discovery (University College London) (submittedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, other-oa)
- Oskar-Bordeaux (Universite de Bordeaux) (submittedVersion, cc-by)
- DZNE Pub (submittedVersion, other-oa)
- Unicam Scientific Publications (University of Camerino) (submittedVersion, other-oa)
- Research Repository (Delft University of Technology) (submittedVersion)
- Data Archiving and Networked Services (DANS) (submittedVersion, cc-by)
- Funders
- Alzheimer's Association
- Alzheimer's Disease Neuroimaging Initiative
- New York Genome Center
- Agence Nationale de la Recherche (ANR-11-LABX-0009)
- Nederlandse Organisatie voor Wetenschappelijk Onderzoek (17232, 15318)
- University of California, San Francisco
- Medical Research Council (MR/L023784/2, MR/N029402/1, MR/N026004/1, MC_PC_17112, MR/K013041/1, MR/M009076/1, MR/L023784/1)
- National Institute on Aging (R01AG067501, R00AG068271, R01AG062588, R01AG057234, U24AG056270, U24AG021886)
- National Heart, Lung, and Blood Institute (R01HL105756)
- National Institute of Neurological Disorders and Stroke
- Topics
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Associations and Epidemiology
- Keywords
- Alzheimer's disease, rare damaging variants, ABCA1, ADAM10, loss-of-function mutations, early-onset Alzheimer's disease, amyloid-beta aggregation, lipid metabolism, microglial function, genetic risk factors, TREM2, SORL1, ABCA7
- MeSH terms
- Adenosine Triphosphatases, Alzheimer Disease, Humans, Risk Factors, LDL-Receptor Related Proteins, Membrane Transport Proteins, Genome-Wide Association Study, Exosomes, ATP Binding Cassette Transporter 1
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review