Richard B. Hayes
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Recognitions
Richard B. Hayes has a total of 1000 co-authors. Here are the top co-authors by number of shared publications:
Sonja I. Berndt
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
73 shared publications- Jiyoung Ahn
Department of Population Health, NYU Grossman School of Medicine
71 shared publications - Hermann Brenner
Cancer Prevention Graduate School, German Cancer Research Center (DKFZ), 69120 Heidelberg, Germany
65 shared publications Stephen J. Chanock
Department of Epidemiology, University of Washington School of Public Health, Seattle, Washington
56 shared publicationsDemetrius Albanes
Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Bethesda, USA
54 shared publicationsMeredith Yeager
Division of Cancer Epidemiology and Genetics, Cancer Genomics Research Laboratory, National Cancer Institute, Division of Cancer Epidemiology and Genetics, SAIC-Frederick, Inc., Frederick National Laboratory for Cancer Research, Frederick, MD, USA
52 shared publications
Latest Publications
- 29 June 2026
- Published by American Association for Cancer Research (AACR) in Cancer Epidemiology, Biomarkers & Prevention
- Vol. 35 (9) , 1517-1526
The Food and Microbiome Longitudinal Investigation (FAMiLI) Study: an Asian American (AsA) Enriched Multi-ethnic Environmental Cohort
Background: Over 90% of Asian American (AsA) adults are first- or second-generation immigrants, undergoing substantial environmental and sociocultural transitions; yet most environmental epidemiology cohorts have included few AsA participants. Methods: The Food and Microbiome Longitudinal Investigation (FAMiLI) is an environmental health cohort enriched with AsA adults (predominantly Korean and Chinese American) and designed to capture environmental exposures, dietary acculturation, and sociocultural factors across immigration generations. Its biobank—including buccal and stool specimens—supports research on the oral and gut microbiomes, human genomics, and other multi-omics. Results: Since its launch in 2018, FAMiLI has completed baseline recruitment and biospecimen collection for 13,183 adults aged 40–75 years. The cohort is now expanding to include an additional 3,000 Asian American adults, bringing the total to approximately 16,000 participants, with an expected distribution of ~50% Asian American and ~50% from other racial/ethnic groups. This expansion provides an opportunity to examine AsA environmental health experiences within the broader U.S. context. Conclusions: FAMiLI is a unique national resource to address priority questions in environmental health, including microbiome and exposome science, individual susceptibility, and large-scale data analytics. Impact: The cohort supports investigation of critical windows of environmental change across the immigration experience, racial and ethnic disparities, and drivers of emerging health outcomes, including cancer, cardiovascular disease, diabetes and other outcomes. This cohort offers essential data to inform prevention strategies and shape public health policy to improve health outcomes in AsA communities.
- 29 June 2026
- Published by American Association for Cancer Research (AACR) in Cancer Epidemiology, Biomarkers & Prevention
- Vol. 35 (9) , 1517-1526
The Food and Microbiome Longitudinal Investigation (FAMiLI) Study: an Asian American (AsA) Enriched Multi-ethnic Environmental Cohort
Background: Over 90% of Asian American (AsA) adults are first- or second-generation immigrants, undergoing substantial environmental and sociocultural transitions; yet most environmental epidemiology cohorts have included few AsA participants. Methods: The Food and Microbiome Longitudinal Investigation (FAMiLI) is an environmental health cohort enriched with AsA adults (predominantly Korean and Chinese American) and designed to capture environmental exposures, dietary acculturation, and sociocultural factors across immigration generations. Its biobank—including buccal and stool specimens—supports research on the oral and gut microbiomes, human genomics, and other multi-omics. Results: Since its launch in 2018, FAMiLI has completed baseline recruitment and biospecimen collection for 13,183 adults aged 40–75 years. The cohort is now expanding to include an additional 3,000 Asian American adults, bringing the total to approximately 16,000 participants, with an expected distribution of ~50% Asian American and ~50% from other racial/ethnic groups. This expansion provides an opportunity to examine AsA environmental health experiences within the broader U.S. context. Conclusions: FAMiLI is a unique national resource to address priority questions in environmental health, including microbiome and exposome science, individual susceptibility, and large-scale data analytics. Impact: The cohort supports investigation of critical windows of environmental change across the immigration experience, racial and ethnic disparities, and drivers of emerging health outcomes, including cancer, cardiovascular disease, diabetes and other outcomes. This cohort offers essential data to inform prevention strategies and shape public health policy to improve health outcomes in AsA communities.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S9 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S9 shows the predictive value of endoscopy history in GERA.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S9 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S9 shows the predictive value of endoscopy history in GERA.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S1 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S1 shows the descriptive characteristics of study populations in GECCO and CORECT.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S1 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S1 shows the descriptive characteristics of study populations in GECCO and CORECT.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S3 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S3 shows the comparison on characteristics between GECCO/CORECT study and GERA Europeans-ancestry participants
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S3 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S3 shows the comparison on characteristics between GECCO/CORECT study and GERA Europeans-ancestry participants
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S5 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S5 shows the age-stratified calibration on 5- and 10-year absolute risks based on the PRS-enhanced model stratified by deciles of predicted risk in GERA European ancestry participants.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S5 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S5 shows the age-stratified calibration on 5- and 10-year absolute risks based on the PRS-enhanced model stratified by deciles of predicted risk in GERA European ancestry participants.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S8 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S8 shows sequential model comparison using 10-year time-dependent AUC in the GERA European-ancestry participants.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S8 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S8 shows sequential model comparison using 10-year time-dependent AUC in the GERA European-ancestry participants.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S4 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S4 shows the family-history-stratified calibration on 5- and 10-year absolute risks based on the PRS-enhanced model stratified by deciles of predicted risk in GERA European ancestry participants.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S4 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S4 shows the family-history-stratified calibration on 5- and 10-year absolute risks based on the PRS-enhanced model stratified by deciles of predicted risk in GERA European ancestry participants.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S2 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S2 shows the descriptive statistics of GERA study participants by racial/ethnic groups and sex.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S2 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S2 shows the descriptive statistics of GERA study participants by racial/ethnic groups and sex.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Table S7 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S7 shows the 10-year time-dependent AUC estimates of the PRS-enhanced model in the GERA European- ancestry participants.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessTable S7 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Table S7 shows the 10-year time-dependent AUC estimates of the PRS-enhanced model in the GERA European- ancestry participants.
- Open Access
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Figure S6 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S6 shows the calibration on relative risk of PRS stratified by PRS with 7 bins in groups of different ancestry in the GERA cohort.
- 26 November 2025
- Published by American Association for Cancer Research (AACR)
Open AccessFigure S6 from Validation of a Genetic-Enhanced Risk Prediction Model for Colorectal Cancer in a Large Community-Based Cohort
Supplementary Figure S6 shows the calibration on relative risk of PRS stratified by PRS with 7 bins in groups of different ancestry in the GERA cohort.