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Reusable Reflex UI components for Polygenic Risk Score computation with PGS Catalog

Project description

prs-ui

PyPI version

Reusable Reflex UI components for Polygenic Risk Score (PRS) computation using the PGS Catalog.

Built on top of just-prs for the computation engine and reflex-mui-datagrid for data grid display.

Installation

pip install prs-ui

Running the Standalone App

uv run start

The launcher reads .env, resolves both the Reflex frontend port (PRS_UI_PORT, default 3000) and backend port (PRS_UI_BACKEND_PORT, default 8000), and passes the resolved pair explicitly to Reflex so another running Reflex app cannot shift only one side.

Quick Start

import polars as pl
import reflex as rx
from reflex_mui_datagrid import LazyFrameGridMixin
from prs_ui import PRSComputeStateMixin, prs_section


class MyAppState(rx.State):
    genome_build: str = "GRCh38"
    cache_dir: str = ""
    status_message: str = ""


class PRSState(PRSComputeStateMixin, LazyFrameGridMixin, MyAppState):
    def load_genotypes(self, parquet_path: str) -> None:
        lf = pl.scan_parquet(parquet_path)
        self.set_prs_genotypes_lf(lf)  # preferred: provide a LazyFrame
        self.prs_genotypes_path = parquet_path


def prs_page() -> rx.Component:
    return prs_section(PRSState)

Components

Component Description
prs_section(state) Complete PRS section: build selector + score grid + compute button + progress + results
prs_build_selector(state) Genome build dropdown (GRCh37/GRCh38)
prs_scores_selector(state) MUI DataGrid for score selection with checkboxes and filtering
prs_compute_button(state) Compute button with disclaimer callout
prs_progress_section(state) Progress bar and status text during computation
prs_results_table(state) Results table with quality badges, interpretation cards, and CSV download

State Mixin

PRSComputeStateMixin provides all PRS computation logic as a Reflex state mixin. Mix it into your concrete state class alongside LazyFrameGridMixin to get the full PRS workflow.

The preferred input method is a polars LazyFrame via set_prs_genotypes_lf() -- memory-efficient and avoids re-reading VCF files on each computation. A parquet path (prs_genotypes_path) is supported as a fallback.

Documentation

See the just-prs documentation for the full Python API, CLI reference, and integration guide.

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