Mutations
SORL1 Y391C
Overview
Clinical
Phenotype: Alzheimer's Disease
Position: (GRCh38/hg38):Chr11:121514282 A>G
Position: (GRCh37/hg19):Chr11:121384991 A>G
dbSNP ID: rs139710266
Coding/Non-Coding: Coding
DNA
Change: Substitution
Expected Protein
Consequence: Missense
Codon
Change: TAT to TGT
Reference
Isoform: SORL1 Isoform 1 (2214 aa)
Genomic
Region: Exon 8
Findings
In a study that included 15,808 Alzheimer’s cases and 16,097 control subjects from multiple European and American cohorts, this allele was observed 12 times among the AD cases and was absent from the controls (Holstege et al., 2022). However, due to the small number of carriers, mega-analysis of these data did not show an association between the variant and AD risk. The Alzheimer Disease Exome Sequencing France (ADESFR) project, the Alzheimer’s Disease Sequencing Project (ADSP), and a Dutch sample reported by Holstege et al. (Holstege et al., 2017) all contributed data to the mega-analysis.
In another dataset from subjects of European-American ancestry, this variant was found with minor allele frequencies of 1.16×10-3 and 1.54×10-3 in cases and controls, respectively, and it did not associate with disease (Fernández et al., 2016).
This variant is classified as likely benign by the criteria of Holstege et al. (Holstege et al., 2017).
Functional Consequences
Tyrosine-391 is found within a loop structure that connects the sixth and seventh Vps10p β-propellers. This loop structure is thought to be critical for peptide binding to SORL1, and changes in the conformation of the loop structure at acidic pH may underlie the release of peptide ligands in lysosomes (Kitago et al., 2015). Mutations resulting in a gain of a cysteine within the loop structure likely disrupt the conformation of the structure, and Andersen and colleagues have predicted that such mutations at this position are highly likely to associate with AD risk (Andersen et al., 2023).
The Y391C variant was predicted to be tolerated by SIFT but deleterious by Mutation Taster and PolyPhen-2 (Campion et al., 2019).
Table
Risk Allele(s) | N Cases | Controls |
aAllele frequency Cases | Controls |
Reported association measurements | Ancestry (Cohort) |
Reference(s) |
---|---|---|---|---|---|
Large-scale studies, meta- and mega-analyses | |||||
G | 15,808 | 16,097 | 7.80×10-4 | 0 | p = 0.89 | Multiple European and American cohorts | Holstege et al., 2022 (mega-analysis) |
Other studies | |||||
G | 852 (EOAD) | 927 (LOAD) | 1273 (CTRL) | 5.87×10-4 | 0 | 0 | French (Alzheimer Disease Exome Sequencing France (ADESFR)) |
Bellenguez et al., 2017; Campion et al., 2019 | |
G | 5198 | 4491 | 3.85×10-4 | 0 | Non-Hispanic Caucasian (Alzheimer’s Disease Sequencing Project (ADSP)) |
Campion et al., 2019 | |
G | familial LOAD 875 | 328 |
1.16×10-3 | 1.54×10-3 | OR = 0.748 [CI: N.A.] Reported not significant |
European American (Knight ADRC, NIA-LOAD) |
Fernández et al., 2016 |
G | 640 | 1268 | 7.81×10-4 | 0 | Dutch (Rotterdam Study, Amsterdam Dementia Cohort, Alzheimer Centrum Zuidwest Nederland (ACZN), 100-plus Study) |
Holstege et al., 2017 | |
G | 332 | 676 | 0 | 0 | UK and North American Caucasian (NIH-UCL, Knight ADRC, ADNI, Cache County Study on Memory in Aging) |
Sassi et al., 2016; Campion et al., 2019 |
|
G | 1255 | 1938 | 0 | 0 | European (European Early-Onset Dementia Consortium) |
Verheijen et al., 2016; Campion et al., 2019 |
aAllele frequencies as reported by study authors or calculated by Alzforum curators from data provided in the study, assuming heterozygosity if not explicitly stated in the paper.
This table is meant to convey the range of results reported in the literature. As specific analyses, including co-variates, differ among studies, this information is not intended to be used for quantitative comparisons, and readers are encouraged to refer to the original papers. Thresholds for statistical significance were defined by the authors of each study. (Significant results are in bold.) Note that data from some cohorts may have contributed to multiple studies, so each row does not necessarily represent an independent dataset. While every effort was made to be accurate, readers should confirm any values that are critical for their applications.
Last Updated: 18 Jul 2024
References
Paper Citations
- Holstege H, Hulsman M, Charbonnier C, Grenier-Boley B, Quenez O, Grozeva D, van Rooij JG, Sims R, Ahmad S, Amin N, Norsworthy PJ, Dols-Icardo O, Hummerich H, Kawalia A, Amouyel P, Beecham GW, Berr C, Bis JC, Boland A, Bossù P, Bouwman F, Bras J, Campion D, Cochran JN, Daniele A, Dartigues JF, Debette S, Deleuze JF, Denning N, DeStefano AL, Farrer LA, Fernández MV, Fox NC, Galimberti D, Genin E, Gille JJ, Le Guen Y, Guerreiro R, Haines JL, Holmes C, Ikram MA, Ikram MK, Jansen IE, Kraaij R, Lathrop M, Lemstra AW, Lleó A, Luckcuck L, Mannens MM, Marshall R, Martin ER, Masullo C, Mayeux R, Mecocci P, Meggy A, Mol MO, Morgan K, Myers RM, Nacmias B, Naj AC, Napolioni V, Pasquier F, Pastor P, Pericak-Vance MA, Raybould R, Redon R, Reinders MJ, Richard AC, Riedel-Heller SG, Rivadeneira F, Rousseau S, Ryan NS, Saad S, Sanchez-Juan P, Schellenberg GD, Scheltens P, Schott JM, Seripa D, Seshadri S, Sie D, Sistermans EA, Sorbi S, van Spaendonk R, Spalletta G, Tesi N, Tijms B, Uitterlinden AG, van der Lee SJ, Visser PJ, Wagner M, Wallon D, Wang LS, Zarea A, Clarimon J, van Swieten JC, Greicius MD, Yokoyama JS, Cruchaga C, Hardy J, Ramirez A, Mead S, van der Flier WM, van Duijn CM, Williams J, Nicolas G, Bellenguez C, Lambert JC. Exome sequencing identifies rare damaging variants in ATP8B4 and ABCA1 as risk factors for Alzheimer's disease. Nat Genet. 2022 Dec;54(12):1786-1794. Epub 2022 Nov 21 PubMed.
- Holstege H, van der Lee SJ, Hulsman M, Wong TH, van Rooij JG, Weiss M, Louwersheimer E, Wolters FJ, Amin N, Uitterlinden AG, Hofman A, Ikram MA, van Swieten JC, Meijers-Heijboer H, van der Flier WM, Reinders MJ, van Duijn CM, Scheltens P. Characterization of pathogenic SORL1 genetic variants for association with Alzheimer's disease: a clinical interpretation strategy. Eur J Hum Genet. 2017 Aug;25(8):973-981. Epub 2017 May 24 PubMed.
- Fernández MV, Black K, Carrell D, Saef B, Budde J, Deming Y, Howells B, Del-Aguila JL, Ma S, Bi C, Norton J, Chasse R, Morris J, Goate A, Cruchaga C, NIA-LOAD family study group, NCRAD. SORL1 variants across Alzheimer's disease European American cohorts. Eur J Hum Genet. 2016 Dec;24(12):1828-1830. Epub 2016 Sep 21 PubMed.
- Bellenguez C, Charbonnier C, Grenier-Boley B, Quenez O, Le Guennec K, Nicolas G, Chauhan G, Wallon D, Rousseau S, Richard AC, Boland A, Bourque G, Munter HM, Olaso R, Meyer V, Rollin-Sillaire A, Pasquier F, Letenneur L, Redon R, Dartigues JF, Tzourio C, Frebourg T, Lathrop M, Deleuze JF, Hannequin D, Genin E, Amouyel P, Debette S, Lambert JC, Campion D, CNR MAJ collaborators. Contribution to Alzheimer's disease risk of rare variants in TREM2, SORL1, and ABCA7 in 1779 cases and 1273 controls. Neurobiol Aging. 2017 Nov;59:220.e1-220.e9. Epub 2017 Jul 14 PubMed.
- Campion D, Charbonnier C, Nicolas G. SORL1 genetic variants and Alzheimer disease risk: a literature review and meta-analysis of sequencing data. Acta Neuropathol. 2019 Aug;138(2):173-186. Epub 2019 Mar 25 PubMed.
- Sassi C, Ridge PG, Nalls MA, Gibbs R, Ding J, Lupton MK, Troakes C, Lunnon K, Al-Sarraj S, Brown KS, Medway C, Lord J, Turton J, ARUK Consortium, Morgan K, Powell JF, Kauwe JS, Cruchaga C, Bras J, Goate AM, Singleton AB, Guerreiro R, Hardy J. Influence of Coding Variability in APP-Aβ Metabolism Genes in Sporadic Alzheimer's Disease. PLoS One. 2016;11(6):e0150079. Epub 2016 Jun 1 PubMed.
- Verheijen J, Van den Bossche T, van der Zee J, Engelborghs S, Sanchez-Valle R, Lladó A, Graff C, Thonberg H, Pastor P, Ortega-Cubero S, Pastor MA, Benussi L, Ghidoni R, Binetti G, Clarimon J, Lleó A, Fortea J, de Mendonça A, Martins M, Grau-Rivera O, Gelpi E, Bettens K, Mateiu L, Dillen L, Cras P, De Deyn PP, Van Broeckhoven C, Sleegers K. A comprehensive study of the genetic impact of rare variants in SORL1 in European early-onset Alzheimer's disease. Acta Neuropathol. 2016 Aug;132(2):213-24. Epub 2016 Mar 30 PubMed.
- Kitago Y, Nagae M, Nakata Z, Yagi-Utsumi M, Takagi-Niidome S, Mihara E, Nogi T, Kato K, Takagi J. Structural basis for amyloidogenic peptide recognition by sorLA. Nat Struct Mol Biol. 2015 Mar;22(3):199-206. Epub 2015 Feb 2 PubMed.
- Andersen OM, Monti G, Jensen AM, deWaal M, Hulsman M, Olsen JG, Holstege H. Relying on the relationship with known disease-causing variants in homologous proteins to predict pathogenicity of SORL1 variants in Alzheimer's disease. 2023 Feb 27 10.1101/2023.02.27.524103 (version 1) bioRxiv.
Further Reading
No Available Further Reading
Protein Diagram
Primary Papers
- Fernández MV, Black K, Carrell D, Saef B, Budde J, Deming Y, Howells B, Del-Aguila JL, Ma S, Bi C, Norton J, Chasse R, Morris J, Goate A, Cruchaga C, NIA-LOAD family study group, NCRAD. SORL1 variants across Alzheimer's disease European American cohorts. Eur J Hum Genet. 2016 Dec;24(12):1828-1830. Epub 2016 Sep 21 PubMed.
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