Aya Dziri
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Aya Dziri has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
- Ahmed Negida
Department of Neurology, Virginia Commonwealth University, Richmond, VA, USA
2 shared publications - Belal Mohamed Hamed
Faculty of Medicine, Al-Azhar University, Cairo, Egypt
2 shared publications - Brian D. Berman
Department of Neurology, Virginia Commonwealth University, United States
2 shared publications - Matthew James Barrett
Department of Neurology Virginia Commonwealth University Richmond Virginia USA
2 shared publications - Moaz Elsayed Abouelmagd
Kasr-Alainy Faculty of Medicine, Cairo University, Cairo, Egypt
2 shared publications - Yasmin Negida
Faculty of Medicine Zagazig University Zagazig Egypt
2 shared publications
Latest Publications
- Open Access
Genetic Associations of Parkinson’s Disease Clinical, Pathological, and Data-Driven Subtypes
Background: Parkinson’s disease (PD) is clinically heterogeneous, yet the genetic architecture underlying this heterogeneity remains incompletely understood. We examined the genetic correlates of four complementary PD subtyping frameworks: the clinical motor subtype (tremor-dominant [TD] vs. postural instability/gait difficulty [PIGD]), alpha-synuclein seed amplification assay status (SAA+ vs. SAA−), the pathological subtype (brain-first vs. body-first, based on the presence of REM sleep behavior disorder), and the data-driven subtype (diffuse malignant [DM] vs. mild-motor predominant [MMP] vs. intermediate [IM]). Methods: We analyzed 1390 PD patients from the Parkinson’s Progression Markers Initiative (PPMI) with genotypes available for seven PD-associated genes (LRRK2, GBA1, SNCA, PRKN, PINK1, PARK7, VPS35), including specific variant resolutions (LRRK2 G2019S, R1441G/C/H; GBA1 N409S, severe variants; SNCAA53T), and APOE (ε2/ε3/ε4 alleles). Genetic variant frequencies were compared across subtypes using chi-square or Fisher’s exact tests with the Benjamini–Hochberg false discovery rate (FDR) correction. Effect sizes were quantified using Cramér’s V. multivariable logistic regression estimated adjusted odds ratios with Wald-based 95% confidence intervals. Results: Among genotyped PD patients, LRRK2 carriers constituted 13.7% (190/1390; 170 G2019S, 18 R1441G/C/H), GBA1 8.6% (119/1390; 96 N409S, 23 severe), and SNCA 2.0% (28/1390; all A53T). APOE ε4 carriers comprised 23.4% (323/1380). SAA-negative patients were markedly enriched for LRRK2 variants (37.1% vs. 10.2%, p = 3.7 × 10−19, q < 0.001, V = 0.25), specifically G2019S (28.5% vs. 9.6%, p = 4.9 × 10−11, q < 0.001) and R1441G/C/H (7.9% vs. 0.5%, p = 2.7 × 10−12, q < 0.001). Body-first PD was enriched for GBA1 carriers (12.3% vs. 6.7%, p = 0.004, q = 0.021) and had less LRRK2 carriers (7.9% vs. 15.0%, p = 0.002, q = 0.013). The DM subtype had the highest GBA1 frequency (14.0% vs. MMP 5.9%, p < 0.001, q = 0.003). After FDR correction, 10 out of 48 univariate tests remained significant. Clinical subtypes (TD vs. PIGD) showed only nominal LRRK2 differences that did not survive FDR correction. The APOE genotype did not differ across any framework. Conclusions: PD subtypes defined by alpha-synuclein pathology (SAA), pathological onset pattern (brain-first/body-first), and data-driven classification (DM/MMP/IM) show distinct genetic profiles that survive multiple comparison correction. LRRK2 variants strongly associate with SAA negativity (V = 0.25); GBA1 variants associate with the severe body-first onset and the diffuse malignant subtype.
Open AccessGenetic Associations of Parkinson’s Disease Clinical, Pathological, and Data-Driven Subtypes
Background: Parkinson’s disease (PD) is clinically heterogeneous, yet the genetic architecture underlying this heterogeneity remains incompletely understood. We examined the genetic correlates of four complementary PD subtyping frameworks: the clinical motor subtype (tremor-dominant [TD] vs. postural instability/gait difficulty [PIGD]), alpha-synuclein seed amplification assay status (SAA+ vs. SAA−), the pathological subtype (brain-first vs. body-first, based on the presence of REM sleep behavior disorder), and the data-driven subtype (diffuse malignant [DM] vs. mild-motor predominant [MMP] vs. intermediate [IM]). Methods: We analyzed 1390 PD patients from the Parkinson’s Progression Markers Initiative (PPMI) with genotypes available for seven PD-associated genes (LRRK2, GBA1, SNCA, PRKN, PINK1, PARK7, VPS35), including specific variant resolutions (LRRK2 G2019S, R1441G/C/H; GBA1 N409S, severe variants; SNCAA53T), and APOE (ε2/ε3/ε4 alleles). Genetic variant frequencies were compared across subtypes using chi-square or Fisher’s exact tests with the Benjamini–Hochberg false discovery rate (FDR) correction. Effect sizes were quantified using Cramér’s V. multivariable logistic regression estimated adjusted odds ratios with Wald-based 95% confidence intervals. Results: Among genotyped PD patients, LRRK2 carriers constituted 13.7% (190/1390; 170 G2019S, 18 R1441G/C/H), GBA1 8.6% (119/1390; 96 N409S, 23 severe), and SNCA 2.0% (28/1390; all A53T). APOE ε4 carriers comprised 23.4% (323/1380). SAA-negative patients were markedly enriched for LRRK2 variants (37.1% vs. 10.2%, p = 3.7 × 10−19, q < 0.001, V = 0.25), specifically G2019S (28.5% vs. 9.6%, p = 4.9 × 10−11, q < 0.001) and R1441G/C/H (7.9% vs. 0.5%, p = 2.7 × 10−12, q < 0.001). Body-first PD was enriched for GBA1 carriers (12.3% vs. 6.7%, p = 0.004, q = 0.021) and had less LRRK2 carriers (7.9% vs. 15.0%, p = 0.002, q = 0.013). The DM subtype had the highest GBA1 frequency (14.0% vs. MMP 5.9%, p < 0.001, q = 0.003). After FDR correction, 10 out of 48 univariate tests remained significant. Clinical subtypes (TD vs. PIGD) showed only nominal LRRK2 differences that did not survive FDR correction. The APOE genotype did not differ across any framework. Conclusions: PD subtypes defined by alpha-synuclein pathology (SAA), pathological onset pattern (brain-first/body-first), and data-driven classification (DM/MMP/IM) show distinct genetic profiles that survive multiple comparison correction. LRRK2 variants strongly associate with SAA negativity (V = 0.25); GBA1 variants associate with the severe body-first onset and the diffuse malignant subtype.
- Open Access
- 10 March 2026
- Published by MDPI AG in Preprints.org
Genetic Associations of Parkinson’s Disease Clinical, Pathological, and Data-driven Subtypes
Background: Parkinson’s disease (PD) is clinically heterogeneous, yet the genetic architecture underlying this heterogeneity remains incompletely understood. We examined the genetic correlates of four complementary PD subtyping frameworks: clinical motor subtype (tremor-dominant [TD] vs. postural instability/gait difficulty [PIGD]), alpha-synuclein seed amplification assay status (SAA+ vs. SAA−), pathological subtype (brain-first vs. body-first, based on REM sleep behavior disorder), and data-driven subtype (diffuse malignant [DM] vs. mild-motor predominant [MMP] vs. intermediate [IM]). Methods: We analyzed 1,597 PD patients from the Parkinson’s Progression Markers Initiative (PPMI) with genetic testing for seven PD-associated genes (LRRK2, GBA, SNCA, PRKN, PINK1, PARK7, VPS35), including specific variant resolution (LRRK2 G2019S, R1441G/C/H; GBA N409S, severe variants; SNCA A53T), and APOE genotyping (ε2/ε3/ε4 alleles). Genetic variant frequencies were compared across subtypes using chi-square or Fisher’s exact tests with Benjamini–Hochberg false discovery rate (FDR) correction. Effect sizes were quantified using Cramér’s V. Multivariable logistic regression (statsmodels) estimated adjusted odds ratios with Wald-based 95% confidence intervals. Results: Among 1,390 genotyped PD patients, LRRK2 carriers constituted 13.7% (190/1,390; 170 G2019S, 18 R1441G/C/H), GBA 8.6% (119/1,390; 96 N409S, 23 severe), and SNCA 2.0% (28/1,390; all A53T). APOE ε4 carriers comprised 23.4% (323/1,380). SAA-negative patients were markedly enriched for LRRK2 variants (37.1% vs. 10.2%, P = 3.7 × 10⁻¹⁹, q < 0.001, V = 0.25), driven by G2019S (28.5% vs. 9.6%, P = 4.9 × 10⁻¹¹, q < 0.001) and R1441G/C/H (7.9% vs. 0.5%, P = 2.7 × 10⁻¹², q < 0.001). Body-first PD was enriched for GBA carriers (12.3% vs. 6.7%, P = 0.004, q = 0.021) and depleted for LRRK2 (7.9% vs. 15.0%, P = 0.002, q = 0.013). The DM subtype carried the highest GBA frequency (14.0% vs. MMP 5.9%, P < 0.001, q = 0.003). After FDR correction, 10 of 48 univariate tests remained significant. Clinical subtypes (TD vs. PIGD) showed only nominal LRRK2 differences that did not survive FDR correction. APOE genotype did not differ across any framework. Conclusions: PD subtypes defined by alpha-synuclein pathology (SAA), pathological onset pattern (brain-first/body-first), and data-driven classification (DM/MMP/IM) show distinct genetic profiles that survive multiple comparison correction. LRRK2 variants strongly associate with SAA-negativity (V = 0.25); GBA variants associate with the severe body-first onset and the diffuse malignant subtype.
- 10 March 2026
- Published by MDPI AG in Preprints.org
Open AccessGenetic Associations of Parkinson’s Disease Clinical, Pathological, and Data-driven Subtypes
Background: Parkinson’s disease (PD) is clinically heterogeneous, yet the genetic architecture underlying this heterogeneity remains incompletely understood. We examined the genetic correlates of four complementary PD subtyping frameworks: clinical motor subtype (tremor-dominant [TD] vs. postural instability/gait difficulty [PIGD]), alpha-synuclein seed amplification assay status (SAA+ vs. SAA−), pathological subtype (brain-first vs. body-first, based on REM sleep behavior disorder), and data-driven subtype (diffuse malignant [DM] vs. mild-motor predominant [MMP] vs. intermediate [IM]). Methods: We analyzed 1,597 PD patients from the Parkinson’s Progression Markers Initiative (PPMI) with genetic testing for seven PD-associated genes (LRRK2, GBA, SNCA, PRKN, PINK1, PARK7, VPS35), including specific variant resolution (LRRK2 G2019S, R1441G/C/H; GBA N409S, severe variants; SNCA A53T), and APOE genotyping (ε2/ε3/ε4 alleles). Genetic variant frequencies were compared across subtypes using chi-square or Fisher’s exact tests with Benjamini–Hochberg false discovery rate (FDR) correction. Effect sizes were quantified using Cramér’s V. Multivariable logistic regression (statsmodels) estimated adjusted odds ratios with Wald-based 95% confidence intervals. Results: Among 1,390 genotyped PD patients, LRRK2 carriers constituted 13.7% (190/1,390; 170 G2019S, 18 R1441G/C/H), GBA 8.6% (119/1,390; 96 N409S, 23 severe), and SNCA 2.0% (28/1,390; all A53T). APOE ε4 carriers comprised 23.4% (323/1,380). SAA-negative patients were markedly enriched for LRRK2 variants (37.1% vs. 10.2%, P = 3.7 × 10⁻¹⁹, q < 0.001, V = 0.25), driven by G2019S (28.5% vs. 9.6%, P = 4.9 × 10⁻¹¹, q < 0.001) and R1441G/C/H (7.9% vs. 0.5%, P = 2.7 × 10⁻¹², q < 0.001). Body-first PD was enriched for GBA carriers (12.3% vs. 6.7%, P = 0.004, q = 0.021) and depleted for LRRK2 (7.9% vs. 15.0%, P = 0.002, q = 0.013). The DM subtype carried the highest GBA frequency (14.0% vs. MMP 5.9%, P < 0.001, q = 0.003). After FDR correction, 10 of 48 univariate tests remained significant. Clinical subtypes (TD vs. PIGD) showed only nominal LRRK2 differences that did not survive FDR correction. APOE genotype did not differ across any framework. Conclusions: PD subtypes defined by alpha-synuclein pathology (SAA), pathological onset pattern (brain-first/body-first), and data-driven classification (DM/MMP/IM) show distinct genetic profiles that survive multiple comparison correction. LRRK2 variants strongly associate with SAA-negativity (V = 0.25); GBA variants associate with the severe body-first onset and the diffuse malignant subtype.