The DOI matches its Crossref record; 44 of the 44 references it cites were found in a registry or an index.
APP, PSEN1, and PSEN2 mutations in early-onset Alzheimer disease: A genetic screening study of familial and sporadic cases
Open accessAbstract
BACKGROUND: Amyloid protein precursor (APP), presenilin-1 (PSEN1), and presenilin-2 (PSEN2) mutations cause autosomal dominant forms of early-onset Alzheimer disease (AD-EOAD). Although these genes were identified in the 1990s, variant classification remains a challenge, highlighting the need to colligate mutations from large series. METHODS AND FINDINGS: We report here a novel update (2012-2016) of the genetic screening of the large AD-EOAD series ascertained across 28 French hospitals from 1993 onwards, bringing the total number of families with identified mutations to n = 170. Families were included when at least two first-degree relatives suffered from early-onset Alzheimer disease (EOAD) with an age of onset (AOO) ≤65 y in two generations. Furthermore, we also screened 129 sporadic cases of Alzheimer disease with an AOO below age 51 (44% males, mean AOO = 45 ± 2 y). APP, PSEN1, or PSEN2 mutations were identified in 53 novel AD-EOAD families. Of the 129 sporadic cases screened, 17 carried a PSEN1 mutation and 1 carried an APP duplication (13%). Parental DNA was available for 10 sporadic mutation carriers, allowing us to show that the mutation had occurred de novo in each case. Thirteen mutations (12 in PSEN1 and 1 in PSEN2) identified either in familial or in sporadic cases were previously unreported. Of the 53 mutation carriers with available cerebrospinal fluid (CSF) biomarkers, 46 (87%) had all three CSF biomarkers-total tau protein (Tau), phospho-tau protein (P-Tau), and amyloid β (Aβ)42-in abnormal ranges. No mutation carrier had the three biomarkers in normal ranges. One limitation of this study is the absence of functional assessment of the possibly and probably pathogenic variants, which should help their classification. CONCLUSIONS: Our findings suggest that a nonnegligible fraction of PSEN1 mutations occurs de novo, which is of high importance for genetic counseling, as PSEN1 mutational screening is currently performed in familial cases only. Among the 90 distinct mutations found in the whole sample of families and isolated cases, definite pathogenicity is currently established for only 77%, emphasizing the need to pursue the effort to classify variants.
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?
In the citing paper
“Mutations in PS1 and PS2 primarily alter APP γ-cleavage, thereby resulting in a decreased Aβ40/42 ratio.”
From Molecular and cellular mechanisms underlying the pathogenesis of Alzheimer’s disease (2020) · cites this paper as [37]
In the citing paper
“Although causal variants in these genes are typically thought to be inherited in an autosomal dominant fashion, de novo variants in APP, PSEN1, and PSEN2 have also been identified by sequencing in sporadic cases of EOAD that occur with no family history of disease [158, 159].”
From Genetic architecture of Alzheimer's disease (2020) · cites this paper as [158]
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
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
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
Goate, A., Chartier-Harlin, M.-C., Mullan, M., Brown, J., Crawford, F., Fidani, L., Giuffra, L., Haynes, A., Irving, N., James, L., et al. (1991) · Nature · doi:10.1038/349704a0 · Cited by 4,659
Cloning of a gene bearing missense mutations in early-onset familial Alzheimer's disease
Sherrington, R., Rogaev, E. I., Liang, Y., Rogaeva, E. A., Levesque, G., Ikeda, M., Chi, H., Lin, C., Li, G., Holman, K., et al. (1995) · Nature · doi:10.1038/375754a0 · Cited by 4,051
Rogaev, E. I., Sherrington, R., Rogaeva, E. A., Levesque, G., Ikeda, M., Liang, Y., Chi, H., Lin, C., Holman, K., Tsuda, T., et al. (1995) · Nature · doi:10.1038/376775a0 · Cited by 2,052
Rovelet‐Lecrux, A., Hannequin, D., Raux, G., Meur, N. L., Laquerrière, A., Vital, A., Dumanchin‐Njock, C., Feuillette, S., Brice, A., Vercelletto, M., et al. (2005) · Nature Genetics · doi:10.1038/ng1718 · Cited by 1,284
Self-citationChartier-Harlin, M.-C., Crawford, F., Houlden, H., Warren, A., Hughes, D., Fidani, L., Goate, A., Rossor, M., Roques, P., Hardy, J., et al. (1991) · Nature · doi:10.1038/353844a0 · Cited by 1,214
Trafficking and Proteolytic Processing of APP
Haass, C., Kaether, C., Thinakaran, G., & Sisodia, S. (2012) · Cold Spring Harbor Perspectives in Medicine · doi:10.1101/cshperspect.a006270 · Cited by 1,075
A framework for the interpretation of de novo mutation in human disease
Samocha, K. E., Robinson, E. B., Sanders, S. J., Stevens, C., Sabo, A., McGrath, L. M., Kosmicki, J. A., Rehnström, K., Mallick, S., Kirby, A., et al. (2014) · Nature Genetics · doi:10.1038/ng.3050 · Cited by 979
A Familial Alzheimer's Disease Locus on Chromosome 1
Levy‐Lahad, E., Wijsman, E. M., Nemens, E. J., Anderson, L., Goddard, K. A. B., Weber, J. L., Bird, T. D., & Schellenberg, G. D. (1995) · Science · doi:10.1126/science.7638621 · Cited by 832
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–200 of 614
Mutation screening in Chinese patients with familial Alzheimer's disease by whole-exome sequencing
Jiang, B., Zhou, J., Li, H., Chen, Y., Cheng, H.-R., Ye, L., Liu, D., Chen, D.-F., Tao, Q., & Wu, Z. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.11.024 · Cited by 47
Genetically modified large animal models for investigating neurodegenerative diseases
Yang, W., Chen, X., Li, S., & Li, X.-J. (2021) · Cell & Bioscience · doi:10.1186/s13578-021-00729-8 · Cited by 45
Lin, E.-Y., Hsu, S.-X., Wu, B., Deng, Y., Wuli, W., Li, Y. S., Lee, J.-H., Lin, S., Harn, H., & Chiou, T. (2024) · International Journal of Nanomedicine · doi:10.2147/ijn.s442876 · Cited by 48
Dehghani, S., Ocakcı, O., Hatipoglu, P. T., Özalp, V. C., & Tevlek, A. (2025) · Molecular Neurobiology · doi:10.1007/s12035-025-04825-5 · Cited by 49
Recent advances and challenges of rare variant association analysis in the biobank sequencing era
Chen, W., Coombes, B. J., & Larson, N. B. (2022) · Frontiers in Genetics · doi:10.3389/fgene.2022.1014947 · Cited by 42
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
Westfall, S., Iqbal, U. H., Sebastian-Valverde, M., & Pasinetti, G. M. (2019) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2019.06.013 · Cited by 42
The role of TREM2 in Alzheimer's disease; evidence from transgenic mouse models
Karanfilian, L., Tosto, M. G., & Malki, K. (2019) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2019.09.004 · Cited by 40
Definitive roles of TOMM40-APOE-APOC1 variants in the Alzheimer's risk
Kulminski, A. M., Philipp, I., Shu, L., & Culminskaya, I. V. (2021) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2021.09.009 · Cited by 40
Bacterial pneumonia and subsequent dementia risk: A nationwide cohort study
Chu, C., Liang, C., Tsai, S., Bai, Y., Su, T., Chen, T., & Chen, M. (2022) · Brain Behavior and Immunity · doi:10.1016/j.bbi.2022.04.002 · Cited by 41
Tokgöz, S., & Claassen, J. A. H. R. (2021) · Cardiology and Therapy · doi:10.1007/s40119-020-00209-z · Cited by 42
Presenilin mutations and their impact on neuronal differentiation in Alzheimer’s disease
Canales-Aguirre, A. A., Hernández-Sapiéns, M. A., Reza-Zaldívar, E. E., Márquez-Aguirre, A. L., Gómez‐Pinedo, U., Matías‐Guiu, J., Cevallos, R. R., Mateos‐Díaz, J. C., & Sánchez-González, V. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.313016 · Cited by 41
Early-Onset Cerebral Amyloid Angiopathy and Alzheimer Disease Related to an APP Locus Triplication
Grangeon, L., Cassinari, K., Rousseau, S., Croisile, B., Formaglio, M., Moreaud, O., Boutonnât, J., Meur, N. L., Miné, M., Coste, T., et al. (2021) · Neurology Genetics · doi:10.1212/nxg.0000000000000609 · Cited by 38
Self-citationA 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
Microbial signatures and therapeutic strategies in neurodegenerative diseases
Rob, M., Yousef, M., Lakshmanan, A. P., Mahboob, A., Terranegra, A., & Châari, A. (2025) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2025.117905 · Cited by 43
Talebi, M., Kakouri, E., Talebi, M., Tarantilis, P. Α., Farkhondeh, T., İlgün, S., Pourbagher‐Shahri, A. M., & Samarghandian, S. (2021) · Expert Review of Neurotherapeutics · doi:10.1080/14737175.2021.1923479 · Cited by 41
Synapses, Microglia, and Lipids in Alzheimer’s Disease
Paasila, P. J., Aramideh, J. A., Sutherland, G. T., & Graeber, M. B. (2022) · Frontiers in Neuroscience · doi:10.3389/fnins.2021.778822 · Cited by 40
Apolipoprotein E isoform-dependent effects on the processing of Alzheimer's amyloid-β
Chai, A. B., Lam, H. H. J., Kockx, M., & Gelissen, I. C. (2021) · Biochimica et Biophysica Acta (BBA) - Molecular and Cell Biology of Lipids · doi:10.1016/j.bbalip.2021.158980 · Cited by 41
Tremblay, G., Rousseau, J., Mbakam, C. H., & Tremblay, J. P. (2022) · The CRISPR Journal · doi:10.1089/crispr.2021.0085 · Cited by 37
Implications of Microorganisms in Alzheimer’s Disease
Yadav, P., Lee, Y., Panday, H., Kant, S., Bajwa, N., Parashar, R., Jha, S. K., Jha, N. K., Nand, P., Lee, S., et al. (2022) · Current Issues in Molecular Biology · doi:10.3390/cimb44100314 · Cited by 37
APOE and immunity: Research highlights
Kloske, C. M., Barnum, C. J., Batista, A. F., Bradshaw, E. M., Brickman, A. M., Bu, G., Dennison, J. L., Gearon, M. D., Goate, A., Haass, C., et al. (2023) · Alzheimer s & Dementia · doi:10.1002/alz.13020 · Cited by 38
Gautam, D., Naik, U. P., Naik, M. U., Yadav, S. K., Chaurasia, R. N., & Dash, D. (2023) · Biomolecules · doi:10.3390/biom13111609 · Cited by 38
Use of ocular biomarkers as a potential tool for early diagnosis of Alzheimer's disease
Singh, A., & Verma, S. (2020) · Indian Journal of Ophthalmology · doi:10.4103/ijo.ijo_999_19 · Cited by 36
Degradation of Bone Quality in a Transgenic Mouse Model of Alzheimer′s Disease
LLabre, J. E., Gil, C., Amatya, N., Lagalwar, S., Possidente, B. P., & Vashishth, D. (2020) · Journal of Bone and Mineral Research · doi:10.1002/jbmr.4723 · Cited by 36
Iron and Targeted Iron Therapy in Alzheimer’s Disease
Wang, J., Fu, J., Zhao, Y., Liu, Q., Yan, X., & Su, J. (2023) · International Journal of Molecular Sciences · doi:10.3390/ijms242216353 · Cited by 35
Schultz, S. A., Liu, L., Schultz, A. P., Fitzpatrick, C. D., Levin, R., Bellier, J., Shirzadi, Z., Joseph‐Mathurin, N., Chen, C. D., Benzinger, T. L. S., et al. (2024) · The Lancet Neurology · doi:10.1016/s1474-4422(24)00236-9 · Cited by 35
Ahmed, G., Rahaman, M. S., Perez, E., & Khan, K. M. (2025) · Journal of Xenobiotics · doi:10.3390/jox15020047 · Cited by 37
Genetics of Chronic Traumatic Encephalopathy
Abdolmohammadi, B., Dupre, A., Evers, L., & Mez, J. (2020) · Seminars in Neurology · doi:10.1055/s-0040-1713631 · Cited by 35
Mukerjee, N., Al-Khafaji, K., Maitra, S., Wadi, J. S., Sachdeva, P., Ghosh, A., Buchade, R. S., Chaudhari, S. Y., Jadhav, S. B., Das, P., et al. (2022) · Frontiers in Molecular Neuroscience · doi:10.3389/fnmol.2022.1036552 · Cited by 34
CLINICAL EXOME SEQUENCING IN DEMENTIAS: A PRELIMINARY STUDY
Zalar, B., Maver, A., Kovanda, A., Peterlin, A., & Peterlin, B. (2018) · Psychiatria Danubina · doi:10.24869/psyd.2018.216 · Cited by 34
New Insights into the Molecular Bases of Familial Alzheimer’s Disease
D’Argenio, V., & Sarnataro, D. (2020) · Journal of Personalized Medicine · doi:10.3390/jpm10020026 · Cited by 35
Store-Operated Calcium Channels in Physiological and Pathological States of the Nervous System
Zhang, I., & Hu, H. (2020) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2020.600758 · Cited by 34
Significance of mitochondrial activity in neurogenesis and neurodegenerative diseases
Sun, N., Ozgen, S., Krigman, J., & Zhang, R. (2021) · Neural Regeneration Research · doi:10.4103/1673-5374.322429 · Cited by 38
Reducing PDK1/Akt Activity: An Effective Therapeutic Target in the Treatment of Alzheimer’s Disease
Yang, S., Du, Y., Zhao, X., Wu, C., & Yu, P. (2022) · Cells · doi:10.3390/cells11111735 · Cited by 38
iPSCs: A Preclinical Drug Research Tool for Neurological Disorders
Bonaventura, G., Iemmolo, R., Attaguile, G. A., Cognata, V. L., Pistone, B. S., Raudino, G., D’Agata, V., Cantarella, G., Barcellona, M. L., & Cavallaro, S. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22094596 · Cited by 35
γ-secretase promotes Drosophila postsynaptic development through the cleavage of a Wnt receptor
Restrepo, L. J., DePew, A. T., Moese, E. R., Tymanskyj, S. R., Parisi, M. J., Aimino, M. A., Duhart, J. C., Fei, H., & Mosca, T. J. (2022) · Developmental Cell · doi:10.1016/j.devcel.2022.05.006 · Cited by 29
Hypergraph factorization for multi-tissue gene expression imputation
Viñas, R., Joshi, C. K., Georgiev, D., Lin, P., Dumitrascu, B., Gamazon, E. R., & Lió, P. (2023) · Nature Machine Intelligence · doi:10.1038/s42256-023-00684-8 · Cited by 36
Liu, Y. (2023) · Cellular and Molecular Neurobiology · doi:10.1007/s10571-023-01340-w · Cited by 32
Chauhan, A., Dubey, S., & Jain, S. (2024) · Cell Biochemistry and Function · doi:10.1002/cbf.4111 · Cited by 35
Nangare, S., & Patil, P. O. (2021) · Critical Reviews in Analytical Chemistry · doi:10.1080/10408347.2020.1864716 · Cited by 32
Zebrafish: A Model Deciphering the Impact of Flavonoids on Neurodegenerative Disorders
Mhalhel, K., Sicari, M., Pansera, L., Chen, J., Levanti, M. B., Diotel, N., Rastegar, S., Germanà, A., & Montalbano, G. (2023) · Cells · doi:10.3390/cells12020252 · Cited by 44
Hadipour, M., Meftahi, G. H., Afarinesh, M. R., Jahromi, G. P., & Hatef, B. (2020) · Journal of Chemical Neuroanatomy · doi:10.1016/j.jchemneu.2020.101837 · Cited by 31
Non-Coding RNAs as Sensors of Oxidative Stress in Neurodegenerative Diseases
Gámez‐Valero, A., Guisado-Corcoll, A., Herrero‐Lorenzo, M., Solaguren‐Beascoa, M., & Martí, E. (2020) · Antioxidants · doi:10.3390/antiox9111095 · Cited by 34
Olfactory Dysfunction and Alzheimer’s Disease: A Review
McLaren, A., & Kawaja, M. D. (2024) · Journal of Alzheimer s Disease · doi:10.3233/jad-231377 · Cited by 35
Perrone, F., Cacace, R., Mossevelde, S. V., den Bossche, T. V., Deyn, P. P. D., Cras, P. P., Engelborghs, S., van der Zee, J., & Broeckhoven, C. V. (2018) · Neurobiology of Aging · doi:10.1016/j.neurobiolaging.2018.04.015 · Cited by 30
Kim, J., Woo, S., Kim, S., Jang, H., Kim, J. P., Kim, J., Kang, S. H., Na, D. L., Chin, J., Apostolova, L. G., et al. (2021) · Alzheimer s Research & Therapy · doi:10.1186/s13195-021-00857-w · Cited by 30
Citrullination of Amyloid-β Peptides in Alzheimer’s Disease
Mukherjee, S., Perez, K. A., Dubois, C., Nisbet, R. M., Li, Q., Varghese, S., Jin, L., Birchall, I. E., Streltsov, V. A., Vella, L. J., et al. (2021) · ACS Chemical Neuroscience · doi:10.1021/acschemneuro.1c00474 · Cited by 30
Role of TET1-mediated epigenetic modulation in Alzheimer's disease
Armstrong, M. J., Jin, Y., Vattathil, S., Huang, Y., Schroeder, J. P., Bennet, D. A., Qin, Z. S., Wingo, T. S., & Jin, P. (2023) · Neurobiology of Disease · doi:10.1016/j.nbd.2023.106257 · Cited by 32
Aberrant splicing of PSEN2 , but not PSEN1 , in individuals with sporadic Alzheimer’s disease
Course, M. M., Gudsnuk, K. M., Keene, C. D., Bird, T. D., Jayadev, S., & Valdmanis, P. N. (2022) · Brain · doi:10.1093/brain/awac294 · Cited by 33
Bashir, S., Aiman, A., Shahid, M., Chaudhary, A. A., Sami, N., Basir, S. F., Hassan, M. I., & Islam, A. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102276 · Cited by 31
Liu, Z., & Song, S. (2025) · Genes · doi:10.3390/genes16020135 · Cited by 35
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-citationThe role of UNC5C in Alzheimer’s disease
Li, Q., Wang, B.-L., Sun, F.-R., Li, J., Cao, X., & Tan, L. (2018) · Annals of Translational Medicine · doi:10.21037/atm.2018.04.43 · Cited by 29
Gut dysbiosis as a potential driver of Parkinson’s and Alzheimer’s disease pathogenesis
Pfaffinger, J. M., Hays, K. E., Seeley, J., Babu, P. R., & Ryznar, R. J. (2025) · Frontiers in Neuroscience · doi:10.3389/fnins.2025.1600148 · Cited by 39
Shademan, B., Avci, Ç. B., Nikanfar, M., & Nourazarian, A. (2020) · NeuroMolecular Medicine · doi:10.1007/s12017-020-08601-7 · Cited by 30
Prathap, L. (2021) · Bioinformation · doi:10.6026/97320630017348 · Cited by 28
Rabaneda‐Bueno, R., Mena‐Montes, B., Torres‐Castro, S., Torres‐Carrillo, N., & Torres-Carrillo, N. M. (2021) · Genes · doi:10.3390/genes12121959 · Cited by 30
Devi, G. (2023) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2023.1213968 · Cited by 29
Genetics of Alzheimer’s disease
König, T., & Stögmann, E. (2021) · Wiener Medizinische Wochenschrift · doi:10.1007/s10354-021-00819-9 · Cited by 31
Ameen, A. O., Freude, K., & Aldana, B. I. (2022) · Biomedicines · doi:10.3390/biomedicines10112778 · Cited by 29
Methylation differences in Alzheimer’s disease neuropathologic change in the aged human brain
Lang, A.-L., Eulalio, T. Y., Fox, E., Yakabi, K., Bukhari, S. A., Kawas, C. H., Corrada, M. M., Montgomery, S. B., Heppner, F. L., Capper, D., et al. (2022) · Acta Neuropathologica Communications · doi:10.1186/s40478-022-01470-0 · Cited by 26
Liu, J., Wang, Q., Jing, D., Gao, R., Zhang, J., Cui, C., Qiao, H., Liang, Z., Wang, C., Rosa‐Neto, P., et al. (2019) · Journal of Alzheimer s Disease · doi:10.3233/jad-181108 · Cited by 27
Nicolas, G., Zaréa, A., Lacour, M., Quenez, O., Rousseau, S., Richard, A., Bonnevalle, A., Schramm, C., Olaso, R., Sandron, F., et al. (2024) · Genetics in Medicine · doi:10.1016/j.gim.2024.101082 · Cited by 26
Self-citationLi, J., Ebrahimi, A., & Ali, A. B. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25105169 · Cited by 27
Exploring Alzheimer's disease treatment: Established therapies and novel strategies for future care
Soni, U., Singh, K., Jain, D., & Pujari, R. (2025) · European Journal of Pharmacology · doi:10.1016/j.ejphar.2025.177520 · Cited by 28
Sugandhi, V. V., Gadhave, D. G., Ugale, A. R., Kulkarni, N. N., Nangare, S., Patil, H. P., Rath, S., Saxena, R., Lavate, A., Patel, A. T., et al. (2025) · Ageing Research Reviews · doi:10.1016/j.arr.2025.102775 · Cited by 32
A Brief Synopsis on the Genetics of Alzheimer’s Disease
Kamboh, M. I. (2018) · Current Genetic Medicine Reports · doi:10.1007/s40142-018-0155-8 · Cited by 26
Ko, H.-J., Chiou, S.-J., Wong, Y., Wang, Y.-H., Lai, Y.-L., Chou, C., Wang, C., Loh, J., Lieu, A., Cheng, J., et al. (2019) · Journal of Clinical Medicine · doi:10.3390/jcm8101751 · Cited by 26
The expanding role of CDR1‐AS in the regulation and development of cancer and human diseases
Azari, H., Mousavi, P., Karimi, E., Sadri, F., Zarei, M., Rafat, M., & Shekari, M. (2020) · Journal of Cellular Physiology · doi:10.1002/jcp.29950 · Cited by 26
Dumois‐Petersen, S., Gallegos‐Arreola, M. P., Magaña‐Torres, M. T., Perea, F. J., Ringman, J. M., & Figuera, L. E. (2020) · American Journal of Medical Genetics Part C Seminars in Medical Genetics · doi:10.1002/ajmg.c.31865 · Cited by 26
Schramm, 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-citationMarei, H. E. S., Khan, M. U. A., & Hasan, A. (2023) · Cellular & Molecular Biology Letters · doi:10.1186/s11658-023-00504-2 · Cited by 27
Alzheimer’s Disease: Models and Molecular Mechanisms Informing Disease and Treatments
Nystuen, K., McNamee, S. M., Akula, M., Holton, K. M., DeAngelis, M. M., & Haider, N. B. (2024) · Bioengineering · doi:10.3390/bioengineering11010045 · Cited by 28
Wrzesień, A., Andrzejewski, K., Jampolska, M., & Kaczyńska, K. (2024) · International Journal of Molecular Sciences · doi:10.3390/ijms25042327 · Cited by 25
Epigenetic biomarkers in Alzheimer's disease: Diagnostic and prognostic relevance
Behl, T., Kyada, A., Roopashree, R., Nathiya, D., Arya, R., Kumar, M., Khalid, M., Gulati, M., Sachdeva, M., Fareed, M., et al. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102556 · Cited by 31
Systematic identification of latent disease-gene associations from PubMed articles
Zhang, Y., Shen, F., Rastegar-Mojarad, M., Li, D., Liu, S., Tao, C., Yu, Y., & Liu, H. (2018) · PLoS ONE · doi:10.1371/journal.pone.0191568 · Cited by 25
Computing the Pathogenicity of Alzheimer’s Disease Presenilin 1 Mutations
Tang, N., Dehury, B., & Kepp, K. P. (2019) · Journal of Chemical Information and Modeling · doi:10.1021/acs.jcim.8b00896 · Cited by 23
New molecular approaches to Alzheimer's disease
Resta, C. D., & Ferrari, M. (2019) · Clinical Biochemistry · doi:10.1016/j.clinbiochem.2019.04.010 · Cited by 26
Interfacing brain organoids with precision medicine and machine learning
Zheng, H., Feng, Y., Tang, J., & Ma, S. (2022) · Cell Reports Physical Science · doi:10.1016/j.xcrp.2022.100974 · Cited by 26
Protein Homeostasis Networks and the Use of Yeast to Guide Interventions in Alzheimer’s Disease
Dhakal, S., & Macreadie, I. G. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21218014 · Cited by 26
Chib, S., Dutta, B. J., Chalotra, R., Abubakar, M., Kumar, P., Singh, T. G., & Singh, R. (2024) · Phytotherapy Research · doi:10.1002/ptr.8406 · Cited by 24
Critical thinking on amyloid-beta-targeted therapy: challenges and perspectives
Sun, B., Chen, Y., Fan, D., Zhu, C., Zeng, F., & Wang, Y. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1810-y · Cited by 27
Lake, J., Storm, C. S., Makarious, M. B., & Bandrés‐Ciga, S. (2021) · Cells · doi:10.3390/cells10051030 · Cited by 24
dos Santos, M. F., Roxo, C., & Solá, S. (2021) · Antioxidants · doi:10.3390/antiox10071088 · Cited by 25
Circadian regulation in aging: Implications for spaceflight and life on earth
Malhan, D., Schoenrock, B., Yalçın, M., Blottner, D., & Relógio, A. (2023) · Aging Cell · doi:10.1111/acel.13935 · Cited by 25
Vicente, M. C., Addo-Osafo, K., & Vossel, K. A. (2024) · Frontiers in Neurology · doi:10.3389/fneur.2024.1277613 · Cited by 25
Wang, J., Fourrière, L., & Gleeson, P. A. (2024) · Biochemical Journal · doi:10.1042/bcj20240056 · Cited by 26
The landscape of autosomal-dominant Alzheimer’s disease: global distribution and age of onset
Liu, H., Marsh, T. W., Shi, X., Renton, A. E., Bowling, K. M., Ziegemeier, E., Wang, G., Cao, Y., Aristel, A., Li, J., et al. (2025) · Brain · doi:10.1093/brain/awaf038 · Cited by 25
Potential common pathogenesis of several neurodegenerative diseases
Fan, T., Peng, J., Liang, H., Chen, W., Wang, J., & Xu, R. (2025) · Neural Regeneration Research · doi:10.4103/nrr.nrr-d-24-01054 · Cited by 29
Montufar-Armendariz, S., Calero, C., Vinueza‐Gavilanes, R., Correa, P., Carrera-Gonzalez, A., Villegas, F., Moreta, G., & Paredes, R. (2017) · International Journal of Alzheimer s Disease · doi:10.1155/2017/1059678 · Cited by 30
Panda, S. P., & Soni, U. (2022) · Ageing Research Reviews · doi:10.1016/j.arr.2022.101560 · Cited by 22
Qu, W., Canoll, P., & Hargus, G. (2023) · Neuroscience · doi:10.1016/j.neuroscience.2022.05.006 · Cited by 24
Farkas, S., Szabó, A., Török, B., Sólyomvári, C., Fazekas, C. L., Bánrévi, K., Correia, P., Chaves, T., & Zelena, D. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.985424 · Cited by 25
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
Kshirsagar, S., Reddy, A. P., & Reddy, P. H. (2025) · Mitochondrion · doi:10.1016/j.mito.2025.102038 · Cited by 23
Neuroinflammation and Alzheimer's disease: Unravelling the molecular mechanisms
Kakkar, A., Singh, H., Singh, B. K., Kumar, A., Mishra, A. K., & Chopra, H. (2025) · Journal of Alzheimer s Disease · doi:10.1177/13872877251374353 · Cited by 26
Therapeutic approaches of nutraceuticals in the prevention of Alzheimer's disease
Pandey, S. N., Singh, G., Semwal, B. C., Gupta, G., Alharbi, K. S., Almalki, W. H., Albratty, M., Najmi, A., & Meraya, A. M. (2022) · Journal of Food Biochemistry · doi:10.1111/jfbc.14426 · Cited by 23
MicroRNAs and synapse turnover in Alzheimer’s disease
Dalal, S., Ramirez-Gomez, J., Sharma, B., Devara, D., & Kumar, S. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102377 · Cited by 22
Chavoshinezhad, S., Kouchesfahani, H. M., Salehi, M. S., Pandamooz, S., Ahmadiani, A., & Dargahi, L. (2019) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2019.06.015 · Cited by 23
Common genetic signatures of Alzheimer’s disease in Down Syndrome
Sharma, A., Chunduri, A., Gopu, A., Shatrowsky, C., Crusio, W. E., & Delprato, A. (2020) · F1000Research · doi:10.12688/f1000research.27096.1 · Cited by 22
Metadata
- Authors
- Lanoiselée, H.-M., Nicolas, G., Wallon, D., Rovelet-Lecrux, A., Lacour, M., Rousseau, S., Richard, A.-C., Pasquier, F., Rollin-Sillaire, A., Martinaud, O., Quillard-Muraine, M., de la Sayette, V., Boutoleau-Bretonniere, C., Etcharry-Bouyx, F., Chauviré, V., Sarazin, M., le Ber, I., Epelbaum, S., Jonveaux, T., Rouaud, O., Ceccaldi, M., Félician, O., Godefroy, O., Formaglio, M., Croisile, B., Auriacombe, S., Chamard, L., Vincent, J.-L., Sauvée, M., Marelli-Tosi, C., Gabelle, A., Ozsancak, C., Pariente, J., Paquet, C., Hannequin, D., Campion, D., & collaborators of the CNR-MAJ project
- Affiliations
- Inserm (FR)
- Centre Hospitalier Universitaire d'Angers (FR)
- Centre Hospitalier Sainte-Anne (FR)
- Centre National de la Recherche Scientifique (FR)
- Centre Hospitalier Régional et Universitaire de Nancy (FR)
- CHU Dijon Bourgogne (FR)
- Centre Hospitalier Universitaire Amiens-Picardie (FR)
- Hospices Civils de Lyon (FR)
- Centre Hospitalier Universitaire de Bordeaux (FR)
- Centre Hospitalier Universitaire de Lille (FR)
- Centre Hospitalier Universitaire de Grenoble (FR)
- Centre Hospitalier Universitaire de Montpellier (FR)
- Centre Hospitalier Universitaire de Toulouse (FR)
- Corresponding author
- Campion, Dominique
- ORCID
- Venue
- PLOS Medicine
- Publisher
- Public Library of Science (PLoS)
- Published
- 2017-03-28
- Volume
- 14
- Issue
- 3
- Pages
- e1002270
- ISSN
- 1549-1277 (ISSN-L)
- 1549-1676
- PMC
- PMC5370101
- OpenAlex
- W2600872530
- Cited by
- 616
- References
- 44
- Citations by year
- 2026: 58 · 2025: 102 · 2024: 94 · 2023: 75 · 2022: 79 · 2021: 64 · 2020: 58 · 2019: 41 · 2018: 34 · 2017: 9
- FWCI
- 28.74
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- PLoS Medicine (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- HAL (submittedVersion, cc-by)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Figshare (submittedVersion, cc-by)
- LillOA (Université de Lille (University Of Lille)) (submittedVersion, cc-by)
- Funders
- Clinical Research Hospital Program from the French Ministry of Health (GMAJ 2008/067)
- French Ministry of Health (CNR-MAJ)
- European Union (JPND PERADES, ANR-13-JPRF-0001-04)
- 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
- Health Sciences › Medicine › Clinical Neurology › Amyotrophic Lateral Sclerosis Research
- Keywords
- early-onset Alzheimer's disease, APP mutations, PSEN1 mutations, PSEN2 mutations, presenilin, amyloid precursor protein, novel mutations, de novo mutations, sporadic Alzheimer's disease, familial Alzheimer's disease, genetic screening, variant interpretation, cerebrospinal fluid biomarkers, total tau, phosphorylated tau, amyloid-beta 42, genetic counseling, mutation carriers
- MeSH terms
- Adult, Alzheimer Disease, Female, France, Genetic Testing, Humans, Male, Middle Aged, Mutation, Amyloid beta-Protein Precursor, Age of Onset, Presenilin-1, Presenilin-2
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