The DOI matches its Crossref record; 56 of the 56 references it cites were found in a registry or an index.
Contribution to Alzheimer's disease risk of rare variants in TREM2, SORL1, and ABCA7 in 1779 cases and 1273 controls
Open accessAbstract
We performed whole-exome and whole-genome sequencing in 927 late-onset Alzheimer disease (LOAD) cases, 852 early-onset AD (EOAD) cases, and 1273 controls from France. We assessed the evidence for gene-based association of rare variants with AD in 6 genes for which an association with such variants was previously claimed. When aggregating protein-truncating and missense-predicted damaging variants, we found exome-wide significant association between EOAD risk and rare variants in SORL1, TREM2, and ABCA7. No exome-wide significant signal was obtained in the LOAD sample, and significance of the order of 10-6 was observed in the whole AD group for TREM2. Our study confirms previous gene-level results for TREM2, SORL1, and ABCA7 and provides a clearer insight into the classes of rare variants involved. Despite different effect sizes and varying cumulative minor allele frequencies, the rare protein-truncating and missense-predicted damaging variants in TREM2, SORL1, and ABCA7 contribute similarly to the heritability of EOAD and explain between 1.1% and 1.5% of EOAD heritability each, compared with 9.12% for APOE ε4.
Overview
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
Verification
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“both SORL1 and ABCA7 genes—already detected by GWAS—carried numerous loss-of-function variants leading to strong increases in AD risk [9, 98, 128].”
From The new genetic landscape of Alzheimer’s disease: from amyloid cascade to genetically driven synaptic failure hypothesis? (2019) · cites this paper as [9]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“SORL1 is now considered as a major AD risk factor gene, because of increased frequencies of rare coding variant carriers in cases as compared to cognitively-healthy controls [2, 22–24].”
From Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease (2021) · cites this paper as [2]
The cited source says what the claim attributes to it.
In the citing paper
“Exome and genome sequencing recently allowed the identification of three genes harboring a higher burden of rare non-synonymous variants in AD cases as compared to controls: TREM2, SORL1, and ABCA7 [2].”
From Impaired SorLA maturation and trafficking as a new mechanism for SORL1 missense variants in Alzheimer disease (2021) · cites this paper as [2]
In the citing paper
“we also identified ten genes located in our genome-wide loci as having rare deleterious coding, splicing or LOF burden associations with LOAD (false discovery rate (FDR) P < 0.01), including previously implicated rare-variant signals in ABCA7, TREM2, and SORL1 (refs. 14,49–55), and additional associations with TREML4 in the TREM2 locus, TAP2 and PSMB8 in the HLA-DRB1 locus, PIP in the EPHA1 locus,”
From Genetic meta-analysis of diagnosed Alzheimer’s disease identifies new risk loci and implicates Aβ, tau, immunity and lipid processing (2019) · cites this paper as [52]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
R: A Language and Environment for Statistical Computing
R Core Team (2000) · doi:10.32614/r.manuals · Cited by 355,893
Fast and accurate short read alignment with Burrows-Wheeler transform
Li, H., & Durbin, R. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp324 · Cited by 58,607
McKhann, G., Drachman, D., Folstein, M., Katzman, R., Price, D., & Stadlan, E. M. (1984) · Neurology · doi:10.1212/wnl.34.7.939 · Cited by 27,915
The Genome Analysis Toolkit: A MapReduce framework for analyzing next-generation DNA sequencing data
McKenna, A., Hanna, M., Banks, E., Sivachenko, A., Cibulskis, K., Kernytsky, A., Garimella, K., Altshuler, D., Gabriel, S., Daly, M., et al. (2010) · Genome Research · doi:10.1101/gr.107524.110 · Cited by 27,895
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
A global reference for human genetic variation
The 1000 Genomes Project Consortium, authors, C., Auton, A., Abecasis, G. R., Steering committee, Altshuler, D. M., Durbin, R. M., Abecasis, G. R., Bentley, D. R., Chakravarti, A., et al. (2015) · Nature · doi:10.1038/nature15393 · Cited by 18,247
A method and server for predicting damaging missense mutations.
Adzhubei, I. A., Schmidt, S., Peshkin, L., Ramensky, V. E., Gerasimova, A., Bork, P., Kondrashov, A. S., & Sunyaev, S. R. (2010) · Nature Methods · doi:10.1038/nmeth0410-248 · Cited by 13,194
Second-generation PLINK: rising to the challenge of larger and richer datasets
Chang, C. C., Chow, C. C., Tellier, L. C., Vattikuti, S., Purcell, S. M., & Lee, J. J. (2015) · Gigascience · doi:10.1186/s13742-015-0047-8 · Cited by 12,709
Cingolani, P., Platts, A., Wang, L. L., Coon, M., Nguyen, T., Wang, L., Land, S. J., Lu, X., & Ruden, D. M. (2012) · Fly · doi:10.4161/fly.19695 · Cited by 11,816
Analysis of protein-coding genetic variation in 60,706 humans
Exome Aggregation Consortium, Lek, M., Karczewski, K. J., Minikel, E. V., Samocha, K. E., Banks, E., Fennell, T., O’Donnell-Luria, A. H., Ware, J. S., Hill, A. J., et al. (2016) · Nature · doi:10.1038/nature19057 · Cited by 9,587
Cited by
Sorted by citations
Scheltens, P., De Strooper, B., Kivipelto, M., Holstege, H., Chételat, G., Teunissen, C. E., Cummings, J., & van der Flier, W. M. (2021) · The Lancet · doi:10.1016/s0140-6736(20)32205-4 · Cited by 5,465
Alzheimer Disease Genetics Consortium (ADGC), Kunkle, B. W., The European Alzheimer’s Disease Initiative (EADI), Cohorts for Heart and Aging Research in Genomic Epidemiology Consortium (CHARGE), Genetic and Environmental Risk in AD/Defining Genetic, P. A. E. R. F. A. D. C. (., Grenier-Boley, B., Sims, R., Bis, J. C., Damotte, V., Naj, A. C., et al. (2019) · Nature Genetics · doi:10.1038/s41588-019-0358-2 · Cited by 2,946
Self-citationKnopman, D. S., Amieva, H., Petersen, R. C., Chételat, G., Holtzman, D. M., Hyman, B. T., Nixon, R. A., & Jones, D. T. (2021) · Nature Reviews Disease Primers · doi:10.1038/s41572-021-00269-y · Cited by 2,606
The Amyloid-β Pathway in Alzheimer’s Disease
Hampel, H., Hardy, J., Blennow, K., Chen, C., Perry, G., Kim, S. H., Villemagne, V. L., Aisen, P., Vendruscolo, M., Iwatsubo, T., et al. (2021) · Molecular Psychiatry · doi:10.1038/s41380-021-01249-0 · Cited by 1,952
The multiplex model of the genetics of Alzheimer's disease
Sims, R., Hill, M., & Williams, J. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0599-5 · Cited by 466
Early-onset Alzheimer Disease and Its Variants
Mendez, M. F. (2019) · Continuum · doi:10.1212/con.0000000000000687 · Cited by 307
Bis, J. C., Jian, X., Kunkle, B. W., Chen, Y., Hamilton-Nelson, K. L., Bush, W. S., Salerno, W. J., Lancour, D., Ma, Y., Renton, A. E., et al. (2020) · Molecular Psychiatry · doi:10.1038/s41380-018-0112-7 · Cited by 248
Self-citationGenetics of Alzheimer’s disease: where we are, and where we are going
Bellenguez, C., Grenier-Boley, B., & Lambert, J.-C. (2020) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.11.024 · Cited by 215
Self-citationRare-variant collapsing analyses for complex traits: guidelines and applications
Povysil, G., Petrovski, S., Hostyk, J. A., Aggarwal, V. S., Allen, A. S., & Goldstein, D. B. (2019) · Nature Reviews Genetics · doi:10.1038/s41576-019-0177-4 · Cited by 211
The role of ABCA7 in Alzheimer’s disease: evidence from genomics, transcriptomics and methylomics
De Roeck, A., Van Broeckhoven, C., & Sleegers, K. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-01994-1 · Cited by 212
Holstege, H., Hulsman, M., Charbonnier, C., Grenier-Boley, B., Quenez, O., Grozeva, D., van Rooij, J. G. J., Sims, R., Ahmad, S., Amin, N., et al. (2022) · Nature Genetics · doi:10.1038/s41588-022-01208-7 · Cited by 226
Self-citationMissing heritability of complex diseases: case solved?
Génin, E. (2019) · Human Genetics · doi:10.1007/s00439-019-02034-4 · Cited by 219
GenPipes: an open-source framework for distributed and scalable genomic analyses
Bourgey, M., Dali, R., Eveleigh, R. J. M., Chen, K. C., Létourneau, L., Fillon, J., Michaud, M., Caron, M., Sandoval, J., Lefebvre, F., et al. (2019) · GigaScience · doi:10.1093/gigascience/giz037 · Cited by 204
Self-citationStructure and Mechanism of Human ABC Transporters
Alam, A., & Locher, K. P. (2023) · Annual Review of Biophysics · doi:10.1146/annurev-biophys-111622-091232 · Cited by 215
Early-Onset Alzheimer’s Disease: What Is Missing in Research?
Ayodele, T., Rogaeva, E. A., Kurup, J. T., Beecham, G. W., & Reitz, C. (2021) · Current Neurology and Neuroscience Reports · doi:10.1007/s11910-020-01090-y · Cited by 210
Periodontal microorganisms and Alzheimer disease – A causative relationship?
Jungbauer, G., Stähli, A., Zhu, X., Auber Alberi, L., Sculean, A., & Eick, S. (2022) · Periodontology 2000 · doi:10.1111/prd.12429 · Cited by 174
Dourlen, P., Kilinc, D., Malmanche, N., Chapuis, J., & Lambert, J.-C. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-02004-0 · Cited by 168
Self-citationDissecting the clinical heterogeneity of early-onset Alzheimer’s disease
Sirkis, D. W., Bonham, L. W., Johnson, T. P., La Joie, R., & Yokoyama, J. S. (2022) · Molecular Psychiatry · doi:10.1038/s41380-022-01531-9 · Cited by 151
Translating genetic risk of Alzheimer’s disease into mechanistic insight and drug targets
Sierksma, A. S. R., Escott‐Price, V., & Strooper, B. D. (2020) · Science · doi:10.1126/science.abb8575 · Cited by 153
Fast-spiking parvalbumin-positive interneurons in brain physiology and Alzheimer’s disease
Hijazi, S., Smit, A. B., & van Kesteren, R. E. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02168-y · Cited by 157
Whole‐exome sequencing in 20,197 persons for rare variants in Alzheimer's disease
Raghavan, N. S., Brickman, A. M., Andrews, H., Manly, J. J., Schupf, N., Lantigua, R., Wolock, C. J., Kamalakaran, S., Petrovski, S., Tosto, G., et al. (2018) · Annals of Clinical and Translational Neurology · doi:10.1002/acn3.582 · Cited by 141
ABCA7 and Pathogenic Pathways of Alzheimer’s Disease
Aikawa, T., Holm, M., & Kanekiyo, T. (2018) · Brain Sciences · doi:10.3390/brainsci8020027 · Cited by 128
Campion, D., Charbonnier, C., & Nicolas, G. (2019) · Acta Neuropathologica · doi:10.1007/s00401-019-01991-4 · Cited by 124
Self-citationYoung, J. E., Fong, L. K., Frankowski, H., Petsko, G. A., Small, S. A., & Goldstein, L. S. B. (2018) · Stem Cell Reports · doi:10.1016/j.stemcr.2018.01.031 · Cited by 110
Hoogmartens, J., Cacace, R., & Broeckhoven, C. V. (2021) · Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring · doi:10.1002/dad2.12155 · Cited by 109
Fišar, Z. (2022) · Biomolecules · doi:10.3390/biom12111676 · Cited by 113
Step by step: towards a better understanding of the genetic architecture of Alzheimer’s disease
Lambert, J.-C., Ramirez, A., Grenier-Boley, B., & Bellenguez, C. (2023) · Molecular Psychiatry · doi:10.1038/s41380-023-02076-1 · Cited by 87
Self-citationRole of ABCA7 in Human Health and in Alzheimer’s Disease
Dib, S., Pahnke, J., & Gosselet, F. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094603 · Cited by 88
ABC transporters: human disease and pharmacotherapeutic potential
Moore, J. M., Bell, E. L., Hughes, R. O., & Garfield, A. S. (2022) · Trends in Molecular Medicine · doi:10.1016/j.molmed.2022.11.001 · Cited by 94
Somatic variants in autosomal dominant genes are a rare cause of sporadic Alzheimer’s disease
Nicolas, G., Acuña‐Hidalgo, R., Keogh, M. J., Quenez, O., Steehouwer, M., Lelieveld, S., Rousseau, S., Richard, A., Oud, M. S., Marguet, F., et al. (2018) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2018.06.3056 · Cited by 81
Self-citationSheng, L., Chen, M., Cai, K., Song, Y., Yu, D., Zhang, H., & Xu, G. (2019) · The FASEB Journal · doi:10.1096/fj.201900527r · Cited by 82
Transcriptomics in Alzheimer’s Disease: Aspects and Challenges
Bagyinszky, E., Giau, V. V., & An, S. A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21103517 · Cited by 75
Xue, F., & Du, H. (2021) · Cells · doi:10.3390/cells10020321 · Cited by 73
ABCA7 and the altered lipidostasis hypothesis of Alzheimer's disease
Lyssenko, N. N., & Praticò, D. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12220 · Cited by 67
The leukotriene signaling pathway: a druggable target in Alzheimer’s disease
Michael, J., Marschallinger, J., & Aigner, L. (2018) · Drug Discovery Today · doi:10.1016/j.drudis.2018.09.008 · Cited by 70
Chaves, J. C. S., Dando, S. J., White, A. R., & Oikari, L. E. (2024) · Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease · doi:10.1016/j.bbadis.2023.166967 · Cited by 62
The role of ATP-binding cassette subfamily A in the etiology of Alzheimer’s disease
Bossaerts, L., Cacace, R., & Broeckhoven, C. V. (2022) · Molecular Neurodegeneration · doi:10.1186/s13024-022-00536-w · Cited by 56
Mishra, A., Chauhan, G., Violleau, M., Vojinović, D., Jian, X., Bis, J. C., Li, S., Saba, Y., Grenier‐Boley, B., Yang, Q., et al. (2019) · Brain · doi:10.1093/brain/awz024 · Cited by 60
Self-citationLacour, M., Quenez, O., Rovelet‐Lecrux, A., Salomon, B., Rousseau, S., Richard, A., Quillard‐Muraine, M., Pasquier, F., Rollin‐Sillaire, A., Martinaud, O., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-190193 · Cited by 54
Self-citationThe role of de novo mutations in adult-onset neurodegenerative disorders
Nicolas, G., & Veltman, J. A. (2018) · Acta Neuropathologica · doi:10.1007/s00401-018-1939-3 · Cited by 53
Self-citationCharacterization of the chromatin accessibility in an Alzheimer’s disease (AD) mouse model
Wang, Y., Zhang, X., Song, Q., Hou, Y., Liu, J., Sun, Y., & Wang, P. (2020) · Alzheimer s Research & Therapy · doi:10.1186/s13195-020-00598-2 · Cited by 51
Early- and Late-Onset Alzheimer’s Disease: Two Sides of the Same Coin?
Valdez-Gaxiola, C. A., Rosales-Leycegui, F., Gaxiola-Rubio, A., Moreno-Ortíz, J. M., & Figuera, L. E. (2024) · Diseases · doi:10.3390/diseases12060110 · Cited by 55
Sorting Out the Role of the Sortilin-Related Receptor 1 in Alzheimer’s Disease
Barthelson, K., Newman, M., & Lardelli, M. T. (2020) · Journal of Alzheimer s Disease Reports · doi:10.3233/adr-200177 · Cited by 43
Associations of MAP2K3 Gene Variants With Superior Memory in SuperAgers
Huentelman, M. J., Piras, I. S., Siniard, A. L., Both, M. D. D., Richholt, R., Balak, C., Jamshidi, P., Bigio, E. H., Weıntraub, S., Loyer, E., et al. (2018) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2018.00155 · Cited by 41
A neurodegenerative disease landscape of rare mutations in Colombia due to founder effects
Acosta‐Uribe, J., Aguillon, D. F., Cochran, J. N., Giraldo, M., Madrigal, L., Killingsworth, B. W., Singhal, R., Labib, S., Alzate, D., Velilla, L. M., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01035-9 · Cited by 43
Leukotrienes vs. Montelukast—Activity, Metabolism, and Toxicity Hints for Repurposing
Marques, C. F., Marques, M. M., & Justino, G. C. (2022) · Pharmaceuticals · doi:10.3390/ph15091039 · Cited by 47
Human iPSC application in Alzheimer’s disease and tau-related neurodegenerative diseases
TCW, J. (2019) · Neuroscience Letters · doi:10.1016/j.neulet.2019.01.043 · Cited by 39
Li, R., Wang, X., & He, P. (2021) · Experimental and Therapeutic Medicine · doi:10.3892/etm.2021.9778 · Cited by 39
Rovelet-Lecrux, A., Feuillette, S., Miguel, L., Schramm, C., Pernet, S., Quenez, O., Ségalas-Milazzo, I., Guilhaudis, L., Rousseau, S., Riou, G., et al. (2021) · Acta Neuropathologica Communications · doi:10.1186/s40478-021-01294-4 · Cited by 38
Self-citationCochran, J. N., McKinley, E., Cochran, J. N., Amaral, M. D., Moyers, B. A., Lasseigne, B. N., Gray, D. E., Lawlor, J. M. J., Prokop, J. W., Geier, E. G., et al. (2019) · Molecular Case Studies · doi:10.1101/mcs.a003491 · Cited by 37
Microglial Drug Targets in AD: Opportunities and Challenges in Drug Discovery and Development
Biber, K., Bhattacharya, A., Campbell, B. M., Piro, J. R., Rohe, M., Staal, R. G. W., Talanian, R. V., & Möller, T. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.00840 · Cited by 39
Soheili‐Nezhad, S., van der Linden, R. J., Rikkert, M. G. M. O., Sprooten, E., & Poelmans, G. (2020) · Alzheimer s & Dementia · doi:10.1002/alz.12211 · Cited by 33
Xu, Y., Liu, X., Shen, J., Tian, W., Fang, R., Li, B., Ma, J., Cao, L. H., Chen, S., Li, G., et al. (2018) · Aging and Disease · doi:10.14336/ad.2018.0208 · Cited by 33
Cryo‐EM structures of human ABCA7 provide insights into its phospholipid translocation mechanisms
Le, L. T. M., Thompson, J. R., Dehghani‐Ghahnaviyeh, S., Pant, S., Dang, P. X., French, J. B., Kanikeyo, T., Tajkhorshid, E., & Alam, A. (2023) · The EMBO Journal · doi:10.15252/embj.2022111065 · Cited by 31
Biallelic Loss of Function of SORL1 in an Early Onset Alzheimer’s Disease Patient
Guennec, K. L., Tubeuf, H., Hannequin, D., Wallon, D., Quenez, O., Rousseau, S., Richard, A., Deleuze, J., Boland, A., Frébourg, T., et al. (2018) · Journal of Alzheimer s Disease · doi:10.3233/jad-170981 · Cited by 29
Self-citationLi, J., Jew, B., Zhan, L., Hwang, S., Coppola, G., Freimer, N. B., & Sul, J. H. (2019) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1007556 · Cited by 29
Microglia show differential transcriptomic response to Aβ peptide aggregates ex vivo and in vivo
McFarland, K. N., Ceballos, C., Rosario, A. M., Ladd, T. B., Moore, B. D., Golde, G., Wang, X., Allen, M., Ertekin‐Taner, N., Funk, C. C., et al. (2021) · Life Science Alliance · doi:10.26508/lsa.202101108 · Cited by 31
Functional variants identify sex-specific genes and pathways in Alzheimer’s Disease
Bourquard, T., Lee, K. D., Al‐Ramahi, I., Pham, M., Shapiro, D., Lagisetty, Y., Soleimani, S., Mota, S., Wilhelm, K. O., Samieinasab, M., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-38374-z · Cited by 32
Animal and Cellular Models of Alzheimer’s Disease: Progress, Promise, and Future Approaches
Trujillo‐Estrada, L., Sánchez‐Mejías, E., Sanchez-Varo, R. M., García‐León, J. A., Nuñez‐Diaz, C., Dávila, J. C., Vitórica, J., LaFerla, F. M., Moreno‐González, I., Gutiérrez, A., et al. (2021) · The Neuroscientist · doi:10.1177/10738584211001753 · Cited by 30
The Microglial Response to Neurodegenerative Disease
Song, W. M., & Colonna, M. (2018) · Advances in immunology · doi:10.1016/bs.ai.2018.04.002 · Cited by 30
Copy Number Variants in miR-138 as a Potential Risk Factor for Early-Onset Alzheimer’s Disease
Boscher, E., Husson, T., Quenez, O., Laquerrière, A., Marguet, F., Cassinari, K., Wallon, D., Martinaud, O., Charbonnier, C., Nicolas, G., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-180940 · Cited by 27
Self-citationSchramm, C., Charbonnier, C., Zaréa, A., Lacour, M., Wallon, D., collaborators, C., Andriuta, D., Anthony, P., Auriacombe, S., Balageas, A., et al. (2022) · Genome Medicine · doi:10.1186/s13073-022-01070-6 · Cited by 28
Self-citationIdentification of Alzheimer’s disease–associated rare coding variants in the ECE2 gene
Liao, X., Cai, F., Sun, Z., Zhang, Y., Wang, J., Jiao, B., Guo, J., Li, J., Liu, X., Guo, L., et al. (2020) · JCI Insight · doi:10.1172/jci.insight.135119 · Cited by 26
Monoclonal antibodies and aptamers: The future therapeutics for Alzheimer's disease
Barrera-Ocampo, A. A. (2024) · Acta Pharmaceutica Sinica B · doi:10.1016/j.apsb.2024.03.034 · Cited by 30
An Alternative View of Familial Alzheimer’s Disease Genetics
Lardelli, M. T. (2023) · Journal of Alzheimer s Disease · doi:10.3233/jad-230313 · Cited by 24
Whole Exome Sequencing in 20,197 Persons for Rare Variants in Alzheimer DiseasePreprint
Raghavan, N. S., Brickman, A. M., Andrews, H., Manly, J. J., Schupf, N., Lantigua, R., The Alzheimer’s Disease Sequencing Project, Wolock, C. J., Kamalakaran, S., Petrovski, S., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/305631 · Cited by 24
Ciani, M., Bonvicini, C., Scassellati, C., Carrara, M., Maj, C., Fostinelli, S., Binetti, G. G., Ghidoni, R., & Benussi, L. (2019) · International Journal of Molecular Sciences · doi:10.3390/ijms20163903 · Cited by 24
Bossaerts, L., Hens, E., Cacace, R., Asselbergh, B., & Broeckhoven, C. V. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01346-3 · Cited by 21
Rare ABCA7 variants in 2 German families with Alzheimer disease
May, P., Pichler, S., Hartl, D., Bobbili, D. R., Mayhaus, M., Spaniol, C., Kurz, A., Balling, R., Schneider, J. G., & Riemenschneider, M. (2018) · Neurology Genetics · doi:10.1212/nxg.0000000000000224 · Cited by 18
Identification of potential genetic risk factors for bipolar disorder by whole-exome sequencing
Husson, T., Duboc, J.-B., Quenez, O., Charbonnier, C., Rothärmel, M., Cuenca, M., Jegouzo, X., Richard, A., Frébourg, T., Deleuze, J., et al. (2018) · Translational Psychiatry · doi:10.1038/s41398-018-0291-7 · Cited by 21
Self-citationThe Genetics of Alzheimer’s Disease in the Chinese Population
Gan, C., Zhang, T., & Lee, T. H. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072381 · Cited by 21
Papadakis, K. A., Doufexi, A., Kalamaki, M. S., Bourazanas, E., & Lymperaki, E. (2025) · Journal of Personalized Medicine · doi:10.3390/jpm15080384 · Cited by 21
You, M., Zhou, X., Yin, W., Wan, K., Zhang, W., Li, C., Li, M., Zhu, W., Zhu, X., & Sun, Z. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.778123 · Cited by 19
MicroRNA-138 Overexpression Alters Aβ42 Levels and Behavior in Wildtype Mice
Boscher, E., Goupil, C., Petry, S., Keraudren, R., Loiselle, A., Planel, E., & Hébert, S. S. (2021) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.591138 · Cited by 21
Specificity of ABCA7-mediated cell lipid efflux
Picataggi, A., Rodrigues, A., Cromley, D. A., Wang, H., Wiener, J. P., Garliyev, V., Billheimer, J. T., Grabiner, B. C., Hurt, J. A., Chen, A. C., et al. (2022) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2022.159157 · Cited by 20
Recent advances in Alzheimer disease genetics
Nicolas, G. (2024) · Current Opinion in Neurology · doi:10.1097/wco.0000000000001242 · Cited by 19
Self-citationNaj, A. C., Leonenko, G., Jian, X., Grenier‐Boley, B., Dalmasso, M. C., Bellenguez, C., Jin, S., Zhao, Y., van der Lee, S. J., Sims, R., et al. (2021) · medRxiv · doi:10.1101/2021.03.14.21253553 · Cited by 17
Self-citationThe Abca7V1613M variant reduces Aβ generation, plaque load, and neuronal damage
Butler, C. A., Mendoza‐Arvilla, A., Milinkeviciute, G., Cunha, C. D., Kawauchi, S., Rezaie, N., Liang, H. Y., Javonillo, D. I., Thach, A., Wang, S., et al. (2024) · Alzheimer s & Dementia · doi:10.1002/alz.13783 · Cited by 15
Bossaerts, L., Hens, E., Hanseeuw, B. J., Vandenberghe, R. R., Cras, P. P., Deyn, P. P. D., Engelborghs, S., & Broeckhoven, C. V. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.04.023 · Cited by 17
Probability of Alzheimer’s disease based on common and rare genetic variants
Escott‐Price, V., & Schmidt, K. M. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00884-7 · Cited by 18
Whole‐exome rare‐variant analysis of Alzheimer's disease and related biomarker traits
Küçükali, F., Neumann, A., Dongen, J. V., Pooter, T. D., Joris, G., Rijk, P. D., Ohlei, O., Dobričić, V., Bos, I., Vos, S. J. B., et al. (2022) · Alzheimer s & Dementia · doi:10.1002/alz.12842 · Cited by 16
Park, J. E., Kim, H. J., Kim, Y.-E., Jang, H., Cho, S. H., Kim, S. J., Na, D. L., Won, H., Ki, C., & Seo, S. W. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.05.009 · Cited by 15
Ma, Y., Jun, G., Chung, J., Zhang, X., Kunkle, B. W., Naj, A. C., White, C. C., Bennett, D. A., Jager, P. L. D., Mayeux, R. P., et al. (2019) · Aging Cell · doi:10.1111/acel.12964 · Cited by 13
Krokidis, M. G., Exarchos, T. P., & Vlamos, P. (2021) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2021094 · Cited by 14
Clinical Deep Phenotyping of ABCA7 Mutation Carriers
Campbell, A. S., Ho, C. C. G., Atık, M., Allen, M., Lincoln, S., Malphrus, K., Nguyen, T., Oatman, S. R., Corda, M., Conway, O., et al. (2022) · Neurology Genetics · doi:10.1212/nxg.0000000000000655 · Cited by 14
Mapping the genetic landscape of early-onset Alzheimer’s disease in a cohort of 36 families
Mol, M. O., van der Lee, S. J., Hulsman, M., Pijnenburg, Y. A. L., Scheltens, P., Bank, N. B., Seelaar, H., Swieten, J. C. V., Kaat, L. D., Holstege, H. H., et al. (2022) · Alzheimer s Research & Therapy · doi:10.1186/s13195-022-01018-3 · Cited by 14
Genetic overlap between ALS and other neurodegenerative or neuromuscular disorders
Olsen, C. G., Busk, Ø. L., Holla, Ø. L., Tveten, K., Holmøy, T., Tysnes, O., & Høyer, H. (2023) · Amyotrophic Lateral Sclerosis and Frontotemporal Degeneration · doi:10.1080/21678421.2023.2270705 · Cited by 13
Machine learning based disease prediction from genotype data
Katsaouni, N., Tashkandi, A., Wiese, L., & Schulz, M. H. (2021) · Biological Chemistry · doi:10.1515/hsz-2021-0109 · Cited by 13
Apolipoprotein B as a New Link Between Cholesterol and Alzheimer Disease
Ishii, M. (2019) · JAMA Neurology · doi:10.1001/jamaneurol.2019.0212 · Cited by 13
Dementia-related genetic variants in an Italian population of early-onset Alzheimer’s disease
Bartoletti‐Stella, A., Tarozzi, M. E., Mengozzi, G., Asirelli, F., Brancaleoni, L., Mometto, N., Maserati, M. S., Baiardi, S., Linarello, S., Spallazzi, M., et al. (2022) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2022.969817 · Cited by 12
Literature Overview of the Relation Between Psoriasis and Alzheimer
Yang, Q., Wang, J., Mi, N., & Zou, Y. (2023) · Neuropsychiatric Disease and Treatment · doi:10.2147/ndt.s403854 · Cited by 12
Alzheimer's disease approaches - Focusing on pathology, biomarkers and clinical trial candidates
Hroudová, J., & Fišar, Z. (2024) · Progress in Neuro-Psychopharmacology and Biological Psychiatry · doi:10.1016/j.pnpbp.2024.111069 · Cited by 13
Identification of common core ion channel genes in epilepsy and Alzheimer’s disease
Tang, T. S., Li, X., Yu, E., Li, M., & Pan, X. (2023) · Irish Journal of Medical Science (1971 -) · doi:10.1007/s11845-023-03447-x · Cited by 12
Bocher, O., Ludwig, T. E., Ogloblinsky, M. C., Marenne, G., Deleuze, J., Suryakant, S., Odeberg, J., Morange, P., Trégouët, D., Perdry, H., et al. (2022) · PLoS Genetics · doi:10.1371/journal.pgen.1009923 · Cited by 13
Self-citationWang, N., Pan, Y., Starling, S. C., Haskell, D. H., Quintero, A. C., Kawatani, K., Inoue, Y., Shue, F., Ma, X., Aikawa, T., et al. (2025) · Alzheimer s & Dementia · doi:10.1002/alz.70112 · Cited by 11
SLC2A3 rs12842 polymorphism and risk for Alzheimer’s disease
Arseniou, S., Siokas, V., Aloizou, A., Stamati, P., Mentis, A. A., Tsouris, Z., Dastamani, M., Peristeri, E., Valotassiou, V. J., Bogdanos, D. P., et al. (2020) · Neurological Research · doi:10.1080/01616412.2020.1786973 · Cited by 22
Genetic counseling for early onset and familial dementia: Patient perspectives on exome sequencing
Rolf, B. A., Blue, E., Bucks, S. A., Dorschner, M. O., & Jayadev, S. (2021) · Journal of Genetic Counseling · doi:10.1002/jgc4.1379 · Cited by 11
Christensen, S. K., Narimatsu, Y., Simoes, S., Goth, C. K., Vægter, C. B., Small, S. A., Clausen, H., & Andersen, O. M. (2020) · doi:10.1101/2020.07.12.199885 · Cited by 11
Andersen, O. M., Monti, G., Jensen, A. M. G., de Waal, M. W. J., Hulsman, M., Olsen, J. G., & Holstege, H. H. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.02.27.524103 · Cited by 10
Holstege, H. H., de Waal, M. W. J., Tesi, N., van der Lee, S. J., de Geus, C. M., van Spaendonk, R. M. L., Vogel, M. J., Ahmad, S., Amin, N., Amouyel, P., et al. (2023) · medRxiv · doi:10.1101/2023.07.13.23292622 · Cited by 10
Self-citation
Metadata
- Authors
- Bellenguez, C., Charbonnier, C., Grenier-Boley, B., Quenez, O., Le Guennec, K., Nicolas, G., Chauhan, G., Wallon, D., Rousseau, S., Richard, A. C., Boland, A., Bourque, G., Munter, H. M., Olaso, R., Meyer, V., Rollin-Sillaire, A., Pasquier, F., Letenneur, L., Redon, R., Dartigues, J.-F., Tzourio, C., Frebourg, T., Lathrop, M., Deleuze, J.-F., Hannequin, D., Genin, E., Amouyel, P., Debette, S., Lambert, J.-C., Campion, D., Hannequin, D., Campion, D., Wallon, D., Martinaud, O., Zarea, A., Nicolas, G., Rollin-Sillaire, A., Bombois, S., Mackowiak, M.-A., Deramecourt, V., Pasquier, F., Michon, A., Le Ber, I., Dubois, B., Godefroy, O., Etcharry-Bouyx, F., Chauviré, V., Chamard, L., Berger, E., Magnin, E., Dartigues, J.-F., Auriacombe, S., Tison, F., Sayette, V. D. L., Castan, D., Dionet, E., Sellal, F., Rouaud, O., Thauvin, C., Moreaud, O., Sauvée, M., Formaglio, M., Mollion, H., Roullet-Solignac, I., Vighetto, A., Croisile, B., Didic, M., Félician, O., Koric, L., Ceccaldi, M., Gabelle, A., Marelli, C., Labauge, P., Jonveaux, T., Vercelletto, M., Boutoleau-Bretonnière, C., Castelnovo, G., Paquet, C., Dumurgier, J., Hugon, J., De Boisgueheneuc, F., Belliard, S., Bakchine, S., Sarazin, M., Barrellon, M.-O., Laurent, B., Blanc, F., Pariente, J., & Jurici, S.
- Affiliations
- Inserm (FR)
- Université de Bordeaux (FR)
- Commissariat à l'Énergie Atomique et aux Énergies Alternatives (FR)
- McGill University and Génome Québec Innovation Centre (CA)
- Centre National de la Recherche Scientifique (FR)
- Centre Hospitalier Universitaire Amiens-Picardie (FR)
- Centre National de Recherche en Génomique Humaine (FR)
- Centre Hospitalier du Rouvray (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- ORCID
- Bellenguez, Céline
- Charbonnier, Camille
- Quenez, Olivier
- Chauhan, Ganesh
- Boland, Anne
- Bourque, Guillaume
- Olaso, Robert
- Meyer, Vincent
- Letenneur, Luc
- Redon, Richard
- Tzourio, Christophe
- Lathrop, Mark
- Deleuze, Jean-François
- Amouyel, Philippe
- Debette, Stéphanie
- Lambert, Jean-Charles
- Bombois, Stéphanie
- Deramecourt, Vincent
- Dubois, Bruno
- Godefroy, Olivier
- Tison, François
- Sayette, Vincent de la
- Rouaud, Olivier
- Moreaud, Olivier
- Sauvée, Mathilde
- Croisile, Bernard
- Didic, Mira
- Félician, Olivier
- Koric, Lejla
- Ceccaldi, Mathieu
- Gabelle, Audrey
- Labauge, Pierre
- Jonveaux, Thérèse
- Castelnovo, Giovanni
- Paquet, Claire
- Dumurgier, Julien
- Hugon, Jacques
- Belliard, Serge
- Sarazin, Marie
- Laurent, Bernard
- Blanc, Frédéric
- Pariente, Jérémie
- Jurici, Snejana
- Venue
- Neurobiology of Aging
- Publisher
- Elsevier BV
- Published
- 2017-11
- Volume
- 59
- Pages
- 220.e1-220.e9
- ISSN
- 0197-4580 (ISSN-L)
- OpenAlex
- W2735794637
- Cited by
- 166
- References
- 56
- Citations by year
- 2026: 8 · 2025: 13 · 2024: 20 · 2023: 14 · 2022: 29 · 2021: 24 · 2020: 13 · 2019: 28 · 2018: 16
- FWCI
- 11.53
- Type
- journal article
- Language
- en
- Open access
- green
- hal.science
- Licence
- Locations
- Neurobiology of Aging (publishedVersion)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- HAL (submittedVersion)
- Funders
- France Génomique National infrastructure
- Centre National de Génotypage
- National Foundation for Alzheimer's disease and related disorders
- Institut Pasteur de Lille
- Inserm
- FRC
- Lille Métropole Communauté Urbaine council
- French government's LABEX
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › 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 variants, TREM2, SORL1, ABCA7, early-onset Alzheimer's disease, late-onset Alzheimer's disease, truncating mutations, missense mutations, genetic risk, heritability, APOE ε4, gene-based association
- MeSH terms
- Whole Genome Sequencing, Adult, Aged, Aged, 80 and over, Alzheimer Disease, Female, Humans, Male, Membrane Glycoproteins, Middle Aged, Receptors, Immunologic, Genetic Variation, ATP-Binding Cassette Transporters, Genetic Predisposition to Disease, LDL-Receptor Related Proteins, Membrane Transport Proteins, Apolipoprotein E4, Genome-Wide Association Study, Young Adult, Genetic Association Studies
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