The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults
Abstract Background Functional decline associated with dementia, including in Alzheimer’s disease (AD), is not uniform across individuals, and respective heterogeneity is not yet fully explained. Such heterogeneity may in part be related to genetic variability among individuals. In this study, we in...
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| Format: | Article |
| Language: | English |
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BMC
2024-02-01
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| Series: | BMC Neurology |
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| Online Access: | https://doi.org/10.1186/s12883-024-03577-4 |
| _version_ | 1797274202115407872 |
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| author | Aravind Lathika Rajendrakumar Konstantin G. Arbeev Olivia Bagley Anatoliy I. Yashin Svetlana Ukraintseva for the Alzheimer’s Disease Neuroimaging Initiative |
| author_facet | Aravind Lathika Rajendrakumar Konstantin G. Arbeev Olivia Bagley Anatoliy I. Yashin Svetlana Ukraintseva for the Alzheimer’s Disease Neuroimaging Initiative |
| author_sort | Aravind Lathika Rajendrakumar |
| collection | DOAJ |
| description | Abstract Background Functional decline associated with dementia, including in Alzheimer’s disease (AD), is not uniform across individuals, and respective heterogeneity is not yet fully explained. Such heterogeneity may in part be related to genetic variability among individuals. In this study, we investigated whether the SNP rs6859 in nectin cell adhesion molecule 2 (NECTIN2) gene (a major risk factor for AD) influences trajectories of cognitive decline in older participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Methods We retrospectively analyzed records on 1310 participants from the ADNI database for the multivariate analysis. We used longitudinal measures of Mini-Mental State Examination (MMSE) scores in participants, who were cognitively normal, or having AD, or other cognitive deficits to investigate the trajectories of cognitive changes. Multiple linear regression, linear mixed models and latent class analyses were conducted to investigate the association of the SNP rs6859 with MMSE. Results The regression coefficient per one allele dose of the SNP rs6859 was independently associated with MMSE in both cross-sectional (-2.23, p < 0.01) and linear mixed models (-2.26, p < 0.01) analyses. The latent class model with three distinct subgroups (class 1: stable and gradual decline, class 2: intermediate and late decline, and class 3: lowest and irregular) performed best in the posterior classification, 42.67% (n = 559), 21.45% (n = 281), 35.88% (n = 470) were classified as class 1, class 2, and class 3. In the heterogeneous linear mixed model, the regression coefficient per one allele dose of rs6859 – A risk allele was significantly associated with MMSE class 1 and class 2 memberships and related decline; Class 1 (-2.28, 95% CI: -4.05, -0.50, p < 0.05), Class 2 (-5.56, 95% CI: -9.61, -1.51, p < 0.01) and Class 3 (-0.37, 95% CI: -1.62, 0.87, p = 0.55). Conclusions This study found statistical evidence supporting the classification of three latent subclass groups representing complex MMSE trajectories in the ADNI cohort. The SNP rs6859 can be suggested as a candidate genetic predictor of variation in modeling MMSE trajectory, as well as for identifying latent classes with higher baseline MMSE. Functional studies may help further elucidate this relationship. |
| first_indexed | 2024-03-07T14:55:57Z |
| format | Article |
| id | doaj.art-eb16ae3cd0164cf8a6563e5048cc9cda |
| institution | Directory Open Access Journal |
| issn | 1471-2377 |
| language | English |
| last_indexed | 2024-03-07T14:55:57Z |
| publishDate | 2024-02-01 |
| publisher | BMC |
| record_format | Article |
| series | BMC Neurology |
| spelling | doaj.art-eb16ae3cd0164cf8a6563e5048cc9cda2024-03-05T19:28:24ZengBMCBMC Neurology1471-23772024-02-0124111210.1186/s12883-024-03577-4The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adultsAravind Lathika Rajendrakumar0Konstantin G. Arbeev1Olivia Bagley2Anatoliy I. Yashin3Svetlana Ukraintseva4for the Alzheimer’s Disease Neuroimaging InitiativeBiodemography of Aging Research Unit, Social Science Research Institute, Duke UniversityBiodemography of Aging Research Unit, Social Science Research Institute, Duke UniversityBiodemography of Aging Research Unit, Social Science Research Institute, Duke UniversityBiodemography of Aging Research Unit, Social Science Research Institute, Duke UniversityBiodemography of Aging Research Unit, Social Science Research Institute, Duke UniversityAbstract Background Functional decline associated with dementia, including in Alzheimer’s disease (AD), is not uniform across individuals, and respective heterogeneity is not yet fully explained. Such heterogeneity may in part be related to genetic variability among individuals. In this study, we investigated whether the SNP rs6859 in nectin cell adhesion molecule 2 (NECTIN2) gene (a major risk factor for AD) influences trajectories of cognitive decline in older participants from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). Methods We retrospectively analyzed records on 1310 participants from the ADNI database for the multivariate analysis. We used longitudinal measures of Mini-Mental State Examination (MMSE) scores in participants, who were cognitively normal, or having AD, or other cognitive deficits to investigate the trajectories of cognitive changes. Multiple linear regression, linear mixed models and latent class analyses were conducted to investigate the association of the SNP rs6859 with MMSE. Results The regression coefficient per one allele dose of the SNP rs6859 was independently associated with MMSE in both cross-sectional (-2.23, p < 0.01) and linear mixed models (-2.26, p < 0.01) analyses. The latent class model with three distinct subgroups (class 1: stable and gradual decline, class 2: intermediate and late decline, and class 3: lowest and irregular) performed best in the posterior classification, 42.67% (n = 559), 21.45% (n = 281), 35.88% (n = 470) were classified as class 1, class 2, and class 3. In the heterogeneous linear mixed model, the regression coefficient per one allele dose of rs6859 – A risk allele was significantly associated with MMSE class 1 and class 2 memberships and related decline; Class 1 (-2.28, 95% CI: -4.05, -0.50, p < 0.05), Class 2 (-5.56, 95% CI: -9.61, -1.51, p < 0.01) and Class 3 (-0.37, 95% CI: -1.62, 0.87, p = 0.55). Conclusions This study found statistical evidence supporting the classification of three latent subclass groups representing complex MMSE trajectories in the ADNI cohort. The SNP rs6859 can be suggested as a candidate genetic predictor of variation in modeling MMSE trajectory, as well as for identifying latent classes with higher baseline MMSE. Functional studies may help further elucidate this relationship.https://doi.org/10.1186/s12883-024-03577-4MMSENECTIN2rs6859HeterogeneityTrajectory analysisLatent class |
| spellingShingle | Aravind Lathika Rajendrakumar Konstantin G. Arbeev Olivia Bagley Anatoliy I. Yashin Svetlana Ukraintseva for the Alzheimer’s Disease Neuroimaging Initiative The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults BMC Neurology MMSE NECTIN2 rs6859 Heterogeneity Trajectory analysis Latent class |
| title | The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| title_full | The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| title_fullStr | The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| title_full_unstemmed | The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| title_short | The SNP rs6859 in NECTIN2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| title_sort | snp rs6859 in nectin2 gene is associated with underlying heterogeneous trajectories of cognitive changes in older adults |
| topic | MMSE NECTIN2 rs6859 Heterogeneity Trajectory analysis Latent class |
| url | https://doi.org/10.1186/s12883-024-03577-4 |
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