# Genomic data in the All of Us Research Program

*PRI Rank #1 · Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026*

*Canonical URL: https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026/rank-1*

| Field | Value |
| --- | --- |
| Rank | #1 |
| 18m citations | 418 |
| Journal | Nature |
| Year | 2024 |
| DOI | 10.1038/s41586-023-06957-x |
| Corresponding authors | Alexander G. Bick |
| Institution | Vanderbilt University Medical Center, United States |

**Ranking page:** [Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026](https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026)

**Paper link:** [10.1038/s41586-023-06957-x](https://doi.org/10.1038/s41586-023-06957-x)

## Topics

All of Us Research Program · Whole-genome sequencing · clinical-grade genome sequences · Genomic variants · coding variants · previously unreported genetic variants · human disease genetic basis · longitudinal cohort study · Diverse populations · Diverse populations · Diverse populations · electronic health record linkage · genotype-phenotype associations · genome-wide association study · replication of genetic associations · European ancestry · African ancestry · health disparities in genomics · biobank · genomic medicine · data passport model · All of Us Researcher Workbench · individual-level genomic data access · summary-level data · population diversity in biomedical research · variant discovery · polygenic risk · genomic data sharing · human genetics · biomedical research infrastructure · longitudinal health data · ancestry-stratified analysis · rare variants · common variants

## Cite this ranking

```
Pepkio Research Index (PRI). Topics and Trends in Most Cited Cancer Genomics and Diagnostics Papers, Class of 2026. https://pri.pepkio.com/top-papers/cancer-genomics-and-diagnostics/2026. Accessed 2026-07-14.

Zheng Su, Tinsley Li, Thematic Shifts in Early-High-Impact Cancer Genomics and Diagnostics Research: A Bibliometric and Semantic Analysis. bioRxiv 2026.07.04.736459; doi: https://doi.org/10.64898/2026.07.04.736459
```