The Kaiser Permanente Research Bank as a Genomic Data Resource

@article{rowell2026kaiser,
  title = {{The Kaiser Permanente Research Bank as a Genomic Data Resource}},
  author = {Sarah Rowell and Yambazi Banda and Alan Bauck and Aldwin Carino and Justin Chan and Terrence Chinn and Elaine Chung and Madhavan Ganesh and Shauna Goldberg and Michaela Hull and Galina Inzhakova and Trine Jeppesen and Cabell Jonas and Mark Kvale and Shiyun Liang and Alexander Lituev and Dilrini Ranatunga and Gina Rinetti-Vargas and Brandi Robinson and Marianne Sadler and Aaron Scrol and Anand Sethuraman and Beth Tang and Vinutha Vijayadeva and Inga Wagar and Doraina Walker Williams and Susan Woo and Paul Young and Andrea Altschuler and Nazneen Aziz and Andrea Burnett-Hartman and Lisa A. Croen and Teanise Davis and Karen Emmons and Heather S. Feigelson and Stacey Honda and Michael Horberg and James Ralston and Neil Risch and Claudia Steiner and Sheila Weinmann and Deborah Young and Elizabeth McGlynn and Cathy Schaefer and Devin M. Absher},
  journal = {JAMA Network Open},
  year = {2026},
  month = oct,
  doi = {10.1001/jamanetworkopen.2026.40691},
  url = {https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2855821},
  note = {CC BY 4.0},
}

TY  - JOUR
TI  - The Kaiser Permanente Research Bank as a Genomic Data Resource
AU  - Sarah Rowell
AU  - Yambazi Banda
AU  - Alan Bauck
AU  - Aldwin Carino
AU  - Justin Chan
AU  - Terrence Chinn
AU  - Elaine Chung
AU  - Madhavan Ganesh
AU  - Shauna Goldberg
AU  - Michaela Hull
AU  - Galina Inzhakova
AU  - Trine Jeppesen
AU  - Cabell Jonas
AU  - Mark Kvale
AU  - Shiyun Liang
AU  - Alexander Lituev
AU  - Dilrini Ranatunga
AU  - Gina Rinetti-Vargas
AU  - Brandi Robinson
AU  - Marianne Sadler
AU  - Aaron Scrol
AU  - Anand Sethuraman
AU  - Beth Tang
AU  - Vinutha Vijayadeva
AU  - Inga Wagar
AU  - Doraina Walker Williams
AU  - Susan Woo
AU  - Paul Young
AU  - Andrea Altschuler
AU  - Nazneen Aziz
AU  - Andrea Burnett-Hartman
AU  - Lisa A. Croen
AU  - Teanise Davis
AU  - Karen Emmons
AU  - Heather S. Feigelson
AU  - Stacey Honda
AU  - Michael Horberg
AU  - James Ralston
AU  - Neil Risch
AU  - Claudia Steiner
AU  - Sheila Weinmann
AU  - Deborah Young
AU  - Elizabeth McGlynn
AU  - Cathy Schaefer
AU  - Devin M. Absher
PY  - 2026
DA  - 2026/10/26
JO  - JAMA Network Open
DO  - 10.1001/jamanetworkopen.2026.40691
UR  - https://jamanetwork.com/journals/jamanetworkopen/fullarticle/2855821
AB  - Importance: Large biobanks have become significant engines of discovery-based health research; the collection of large-scale genetic and other molecular data from a deeply phenotyped cohort enables epidemiological studies, biomarker discovery, predictive modeling, and health economic research. In many biobanks, participant data collection is cross-sectional and relies on self-reported medical histories. Furthermore, biobanks may lack ancestral diversity and may need to be enriched for healthy individuals with lower rates of chronic disease.  Objective: To describe the scope and purpose of the Kaiser Permanente Research Bank (KPRB), a large biobank created from medical records, health and socioeconomic surveys, genomic data, and biospecimens of the Kaiser Permanente patient population.  Observations: The KPRB was intended to compile longitudinal medical records data and build a biospecimen collection that included a patient population that was wide and diverse, enabling a wide variety of research pursuits. KPRB participant medical records, survey data, and biospecimens were compiled to enable researcher use. Genomic DNA from participant samples were genotyped and these data were used in genome-wide association studies of blood pressure phenotypes. The KPRB achieved its goal of recruiting and consenting 400 000 participants (449 122 in total) and making available to the broader research community the participant data collected. The KPRB’s comprehensive medical records extend retrospectively up to 28 years (median [IQR], 20.9 [14.0-28.7] years) and continue to accumulate patient data for as long as a participant is a KP member. KPRB participants represent a diversity of race and ethnicity groups (38 209 Asian [8.5%], 26 106 Black [5.8%], 50 661 Hispanic [11.3%], 317 630 White [70.7%]) and health outcomes, including both prevalent disease at the time of recruitment and incident disease diagnosed postrecruitment, that are typical of US-based populations. Genomic data collected on nearly all participants has been quality controlled and subjected to imputation. A new genome-wide association study (GWAS) analysis of blood pressure phenotypes in all genotyped KPRB participants has been conducted to validate previously published associations and confirm the quality of both the genomic and medical records data in the KPRB.  Conclusions and Relevance: The KPRB, with genetic data generated on a large and diverse cohort with comprehensive medical records, survey data, and biospecimens, will support the growing interest in large biobank-based research and enable new avenues of research. GWAS analyses of common phenotypes measured as part of routine medical care indicated that KPRB is a robust resource linking health outcomes with genetic data that will yield valuable research findings. Access to the KPRB resource is available to external researchers with compelling research proposals through KPRB’s Access Review Committee.
SN  - 2574-3805
ER  -