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Update README.md
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README.md

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* Latino GWAS meta-analysis; Loesch et al 2021; [see here](https://ndkp.hugeamp.org/dinspector.html?dataset=Loesch2021_Parkinsons_HS)
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• Alzheimer's disease
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- AD GWAS meta-analysis; Bellenguez et al 2022; https://www.ebi.ac.uk/gwas/ (accession no. GCST90027158)
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* FinnGen Release 6; [see here](https://r6.finngen.fi/pheno/G6_AD_WIDE_EXMORE)
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* African American GWAS meta-analysis; Kunkle 2021; [see here](https://www.ebi.ac.uk/gwas/publications/33074286)
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* East Asian GWAS meta-analysis; Shigemizu et al 2021; [see here](https://www.ebi.ac.uk/gwas/publications/33654092)
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* Latino GWAS meta-analysis; Lake et al 2023; [see here](https://ndkp.hugeamp.org/dinspector.html?dataset=Lake2023_AD_Mixed)
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* AD GWAS meta-analysis; Bellenguez et al 2022; https://www.ebi.ac.uk/gwas/ (accession no. GCST90027158)
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* European AD GWAS meta-analysis; [see here](https://dss.niagads.org/datasets/ng00075/)
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* African American GWAS meta-analysis; Kunkle 2021; [see here](https://www.ebi.ac.uk/gwas/publications/33074286)
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* East Asian GWAS meta-analysis; Shigemizu et al 2021; [see here](https://www.ebi.ac.uk/gwas/publications/33654092)
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* Latino GWAS meta-analysis; Lake et al 2023; [see here](https://ndkp.hugeamp.org/dinspector.html?dataset=Lake2023_AD_Mixed)
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### Helpful Links
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- *coming soon* pre-print
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├── analyses
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│   ├── 00_clean_and_prep_PD.ipynb
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│   ├── 01_PAR_calculations_PD.ipynb
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│   ├── 02_clean_and_prep_AD.ipynb
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│   ├── 02_clean_and_prep_AD_revised.ipynb
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│   ├── 03_PAR_calculations_AD.ipynb
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│   ├── 04_PD_EUR_fine_mapping.ipynb
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│   ├── 05_PD_AFR_fine_mapping.ipynb
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|:-----------------------------:|:------------------------------------------------------------------------------------------------------------------------------------------------:|
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| 00_clean_and_prep_PD.ipynb | Load list of 90 PD risk loci from Nalls publication, import ancestry-specific GWAS summary statistics, select top hits, and identify known/population-specific variants for analysis. |
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| 01_PAR_calculations_PD.ipynb | Calculate population attributable risk (PAR) for each target and generate a table with summary statistics and PAR. |
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| 02_clean_and_prep_AD.ipynb | Import AD datasets for each ancestry, clean and filter p-values < 0.05, select top hits for each ancestry, and generate dataset for calculations. |
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| 02_clean_and_prep_AD_revised.ipynb | Import AD datasets for each ancestry, clean and filter p-values < 0.05, select top hits for each ancestry, and generate dataset for calculations. |
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| 03_PAR_calculations_AD.ipynb | Calculate population attributable risk (PAR) for each target and generate a table with summary statistics and PAR. |
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| 04_PD_EUR_fine_mapping.ipynb | Extract chromosome and base pair positions from summary statistics for selected loci in EUR population, perform fine-mapping, and save results. |
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| 05_PD_AFR_fine_mapping.ipynb | Extract chromosome and base pair positions from summary statistics for selected loci in AFR population, perform fine-mapping, and save results. |

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