turmex2/pgc-bipolar

---
license: other
tags:
- gwas
- polygenic-risk-score
- psychiatric-genetics
- pgc
---

# Bipolar Disorder GWAS Summary Statistics (PGC)

Mirror of Psychiatric Genomics Consortium (PGC) summary statistics for
**Bipolar Disorder** (bip2019), redistributed in a single Apache Parquet file
for use with [OpenMed Genomics](https://huggingface.co/spaces/turmex2/openneuro-genomics).

## Source

- **Primary citation:** Stahl et al., Nature Genetics 2019; Mullins et al., Nature Genetics 2021
- **Original distributor:** Psychiatric Genomics Consortium
(<https://pgc.unc.edu/for-researchers/download-results/>)

This mirror exists only because the upstream OpenMed mirror became
inaccessible. No modifications have been made to the underlying data;
per-shard parquet files were concatenated into a single file for
convenient streaming.

## File

`pgc-bipolar_bip2019.parquet` -- one Apache Parquet file containing the full summary
statistics table in the PGC's published schema (SNP, CHR, BP, A1, A2,
FRQ, OR/BETA, SE, P, ...).

## Usage

```python
import polars as pl
df = pl.read_parquet(
"https://huggingface.co/datasets/turmex2/pgc-bipolar/resolve/main/pgc-bipolar_bip2019.parquet"
)
```

## License & terms of use

PGC summary statistics are released for non-commercial research use only.
Do not attempt to re-identify individuals. Results derived from these
data are **not** a clinical diagnosis. See the original publication for
the full data-use agreement.

---
license: 其他
tags:
- 全基因组关联研究（Genome-Wide Association Study, GWAS）
- 多基因风险评分（polygenic risk score）
- 精神遗传学（psychiatric genetics）
- 精神疾病基因组学联盟（Psychiatric Genomics Consortium, PGC）
---

# 双相情感障碍全基因组关联研究汇总统计数据（PGC版）

本数据集为精神疾病基因组学联盟（Psychiatric Genomics Consortium, PGC）发布的**双相情感障碍**（bip2019）汇总统计数据的镜像副本，已重新打包为单个Apache Parquet文件，适配[OpenMed Genomics](https://huggingface.co/spaces/turmex2/openneuro-genomics)工具使用。

## 数据来源

- **核心引用文献**：Stahl等人，《自然·遗传学》，2019年；Mullins等人，《自然·遗传学》，2021年
- **原始发布方**：精神疾病基因组学联盟（<https://pgc.unc.edu/for-researchers/download-results/>）

本镜像仅因上游OpenMed镜像无法访问而创建。原始数据未做任何修改，仅将分块的Parquet文件合并为单个文件以方便流式读取。

## 数据文件

`pgc-bipolar_bip2019.parquet`：单个Apache Parquet文件，包含PGC发布格式的完整汇总统计数据表，字段涵盖单核苷酸多态性（Single Nucleotide Polymorphism, SNP）、染色体（Chromosome, CHR）、碱基位置（Base Pair, BP）、等位基因1（A1）、等位基因2（A2）、等位基因频率（FRQ）、比值比/效应量（OR/BETA）、标准误（Standard Error, SE）、P值（P）等。

## 使用方法

python
import polars as pl
df = pl.read_parquet(
"https://huggingface.co/datasets/turmex2/pgc-bipolar/resolve/main/pgc-bipolar_bip2019.parquet"
)

## 许可证与使用条款

PGC发布的汇总统计数据仅可用于非商业性研究用途。请勿尝试重新识别个体身份。基于本数据得到的结果**不得**作为临床诊断依据。完整的数据使用协议请参阅原始发表文献。