Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the top two common neurodegenerative diseases in elderly. Recent studies found the α-synuclein have a key role in AD. Although many clinical and pathological features between AD and PD are shared, the genetic association between them remains unclear, especially whether α-synuclein in PD genetically alters AD risk. We did not obtain any significant result (OR = 0.918, 95% CI: 0.782–1.076, P = 0.291) in MR analysis between PD and AD risk. In MR between α-synuclein in PD with AD risk, we only extracted rs356182 as the IV through a strict screening process. The result indicated a significant association based on IVW method (OR = 0.638, 95% CI: 0.485–0.838, P = 1.20E-03). In order to examine the robustness of the IVW method, we used other three complementary analytical methods and also obtained consistent results. The overall PD genetic risk factors did not predict AD risk, but the α-synuclein susceptibility genetic variants in PD reduce the AD risk. We believe that our findings may help to understand the association between them, which may be useful for future genetic studies for both diseases.

Common genetic variants and susceptibility loci associated with Alzheimer’s disease (AD) have been discovered through large-scale genome-wide association studies (GWAS), GWAS by proxy (GWAX) and meta-analysis of GWAS and GWAX (GWAS+GWAX). However, due to the very low repeatability of AD susceptibility loci and the low heritability of AD, these AD genetic findings have been questioned. We summarize AD genetic findings from the past 10 years and provide a new interpretation of these findings in the context of statistical heterogeneity. We discovered that only 17% of AD risk loci demonstrated reproducibility with a genome-wide significance of P < 5.00E-08 across all AD GWAS and GWAS+GWAX datasets. We highlighted that the AD GWAS+GWAX with the largest sample size failed to identify the most significant signals, the maximum number of genome-wide significant genetic variants or maximum heritability. Additionally, we identified widespread statistical heterogeneity in AD GWAS+GWAX datasets, but not in AD GWAS datasets. We consider that statistical heterogeneity may have attenuated the statistical power in AD GWAS+GWAX and may contribute to explaining the low repeatability (17%) of genome-wide significant AD susceptibility loci and the decreased AD heritability (40–2%) as the sample size increased. Importantly, evidence supports the idea that a decrease in statistical heterogeneity facilitates the identification of genome-wide significant genetic loci and contributes to an increase in AD heritability. Collectively, current AD GWAX and GWAS+GWAX findings should be meticulously assessed and warrant additional investigation, and AD GWAS+GWAX should employ multiple meta-analysis methods, such as random-effects inverse variance-weighted meta-analysis, which is designed specifically for statistical heterogeneity.

Several studies have reported a strong association between plasma proteins and chronic obstructive pulmonary disease (COPD). However, the directionality and causality of the association and whether proteins effected COPD remain unclear. Therefore, we used Proteome-wide Mendelian randomization (MR) study and co-localization analyses to estimate the casual relationship between them. Summary-level data of 2923 plasma protein levels were extracted from a large-scale protein quantitative trait loci study including 54,219 individuals by the UK Biobank Pharma Proteomics Project. The outcome data for COPD and its subtypes were sourced from the FinnGen study. MR analysis was conducted to estimate the associations between protein and COPD and its subtypes risk. Additionally, phenome-wide MR analysis, and candidate drug prediction were employed to identify potential causal circulating proteins and novel drug targets. STROBE MR guidelines are followed for the study. We assessed the effect of 1929 plasma proteins on COPD. We found that Seven proteins, 4 proteins, and 3 proteins were associated with overall COPD, early-onset COPD, and later-onset COPD risk, respectively. MHC class I polypeptide-related sequence B_A (MICB_MICA) and tyrosine-protein kinase receptor tie-1 (TIE-1) would increase 8% and 27% COPD risk (MICB_MICA: odds ratios [OR], 1.08; 95% CI, 1.05–1.10; P _FDR = 2.53 × 10 ⁻⁵ ; TIE-1: OR, 1.27; 95% CI, 1.13–1.43; P _FDR = .012). There was negative association of Septin-8 and Butyrophilin subfamily 1 member A1 (BTN1A1) with overall COPD risk (Septin-8: OR, 0.68; 95% CI, 0.57–0.79; P _FDR = 8.00 × 10 ⁻⁴ BTN1A1: OR, 0.82; 95% CI, 0.75–0.90; P _FDR = .010). There was a protective effect of BTN1A1 on early COPD incidence (OR, 0.72; 95% CI, 0.63–0.83; P _FDR = .002). However, there was no evidence indicating a shared causal variant between the other proteins and COPD and its subtypes in these regions (all posterior probability.H4 < .8). The study revealed the causal relationship between several plasma proteins and COPD and its subtypes, providing new theoretical support for understanding COPD.