Table S1. Clinical and demographic characteristics of the colorectal cancer (CRC) patient study population by race/ethnicity and age at sequencing: AACR Project GENIE.Table S2. Baseline mutation probability, comparison and heterogeneity of non-silent somatic gene mutations among patients with early-onset and late-onset nonhypermutated colorectal cancer. Genes ranked by false discovery rate (FDR).Table S3. Racial/ethnic patterns in baseline mutation probability, comparison and heterogeneity of all non-silent somatic gene mutations among patients with early-onset and late-onset non-hypermutated colorectal cancer.Table S4. Baseline mutation probability, comparison and heterogeneity of non-silent somatic gene mutations among patients with earlyonset and late-onset non-hypermutated colorectal cancer by sex.Table S5. Read depth for clinical-grade targeting sequencing data from tumor tissues and case counts by early-onset and late-onset groups and sequencing center. Figure S1. Mutation rates among 6,903 tumor samples from colorectal cancer patients across racial/ethnic groups.Figure S2. Adjusted mutation rates in 653 hypermutated colorectal tumors: AACR GENIE.Figure S3. Tumor mutational burden (TMB) across sequencing assay/platform for early-onset and late-onset non-hypermutated colorectal cancer cases: AACR Project GENIE.Figure S4. Frequency of non-silent somatic mutations in commonly assayed and mutated genes between early-onset and late-onset non-hypermutated CRC cases (mutation frequency >10%).

Many researchers in genetics and social science incorporate information about race in their work. However, migrations (historical and forced) and social mobility have brought formerly separated populations of humans together, creating younger generations of individuals who have more complex and diverse ancestry and race profiles than older age groups. Here, we sought to better understand how temporal changes in genetic admixture influence levels of heterozygosity and impact health outcomes. We evaluated variation in genetic ancestry over 100 birth years in a cohort of 35,842 individuals with electronic health record (EHR) information in the Southeastern United States. Using the software STRUCTURE, we analyzed 2,678 ancestrally informative markers relative to three ancestral clusters (African, East Asian, and European) and observed rising levels of admixture for all clinically-defined race groups since 1990. Most race groups also exhibited increases in heterozygosity and long-range linkage disequilibrium over time, further supporting the finding of increasing admixture in young individuals in our cohort. These data are consistent with United States Census information from broader geographic areas and highlight the changing demography of the population. This increased diversity challenges classic approaches to studies of genotype-phenotype relationships which motivated us to explore the relationship between heterozygosity and disease diagnosis. Using a phenome-wide association study approach, we explored the relationship between admixture and disease risk and found that increased admixture resulted in protective associations with female reproductive disorders and increased risk for diseases with links to autoimmune dysfunction. These data suggest that tendencies in the United States population are increasing ancestral complexity over time. Further, these observations imply that, because both prevalence and severity of many diseases vary by race groups, complexity of ancestral origins influences health and disparities.

ImportanceThe effect of higher-dose fluvoxamine in reducing symptom duration among outpatients with mild to moderate COVID-19 remains uncertain.ObjectiveTo assess the effectiveness of fluvoxamine, 100 mg twice daily, compared with placebo, for treating mild to moderate COVID-19.Design, Setting, and ParticipantsThe ACTIV-6 platform randomized clinical trial aims to evaluate repurposed medications for mild to moderate COVID-19. Between August 25, 2022, and January 20, 2023, a total of 1175 participants were enrolled at 103 US sites for evaluating fluvoxamine; participants were 30 years or older with confirmed SARS-CoV-2 infection and at least 2 acute COVID-19 symptoms for 7 days or less.InterventionsParticipants were randomized to receive fluvoxamine, 50 mg twice daily on day 1 followed by 100 mg twice daily for 12 additional days (n = 601), or placebo (n = 607).Main Outcomes and MeasuresThe primary outcome was time to sustained recovery (defined as at least 3 consecutive days without symptoms). Secondary outcomes included time to death; time to hospitalization or death; a composite of hospitalization, urgent care visit, emergency department visit, or death; COVID-19 clinical progression scale score; and difference in mean time unwell. Follow-up occurred through day 28.ResultsAmong 1208 participants who were randomized and received the study drug, the median (IQR) age was 50 (40-60) years, 65.8% were women, 45.5% identified as Hispanic/Latino, and 76.8% reported receiving at least 2 doses of a SARS-CoV-2 vaccine. Among 589 participants who received fluvoxamine and 586 who received placebo included in the primary analysis, differences in time to sustained recovery were not observed (adjusted hazard ratio [HR], 0.99 [95% credible interval, 0.89-1.09]; P for efficacy = .40]). Additionally, unadjusted median time to sustained recovery was 10 (95% CI, 10-11) days in both the intervention and placebo groups. No deaths were reported. Thirty-five participants reported health care use events (a priori defined as death, hospitalization, or emergency department/urgent care visit): 14 in the fluvoxamine group compared with 21 in the placebo group (HR, 0.69 [95% credible interval, 0.27-1.21]; P for efficacy = .86) There were 7 serious adverse events in 6 participants (2 with fluvoxamine and 4 with placebo) but no deaths.Conclusions and RelevanceAmong outpatients with mild to moderate COVID-19, treatment with fluvoxamine does not reduce duration of COVID-19 symptoms.Trial RegistrationClinicalTrials.gov Identifier: NCT04885530

AbstractMolecular features underlying colorectal cancer disparities remain uncharacterized. Here, we investigated somatic mutation patterns by race/ethnicity and sex among 5,856 non-Hispanic white (NHW), 535 non-Hispanic Black (NHB), and 512 Asian/Pacific Islander (API) patients with colorectal cancer (2,016 early-onset colorectal cancer patients: sequencing age <50 years). NHB patients with early-onset nonhypermutated colorectal cancer, but not API patients, had higher adjusted tumor mutation rates than NHW patients. There were significant differences for LRP1B, FLT4, FBXW7, RNF43, ATRX, APC, and PIK3CA mutation frequencies in early-onset nonhypermutated colorectal cancers between racial/ethnic groups. Heterogeneities by race/ethnicity were observed for the effect of APC, FLT4, and FAT1 between early-onset and late-onset nonhypermutated colorectal cancer. By sex, heterogeneity was observed for the effect of EP300, BRAF, WRN, KRAS, AXIN2, and SMAD2. Males and females with nonhypermutated colorectal cancer had different trends in EP300 mutations by age group. These findings define genomic patterns of early-onset nonhypermutated colorectal cancer by race/ethnicity and sex, which yields novel biological clues into early-onset colorectal cancer disparities.Significance:NHBs, but not APIs, with early-onset nonhypermutated colorectal cancer had higher adjusted tumor mutation rates versus NHWs. Differences for FLT4, FBXW7, RNF43, LRP1B, APC, PIK3CA, and ATRX mutation rates between racial/ethnic groups and EP300, KRAS, AXIN2, WRN, BRAF, and LRP1B mutation rates by sex were observed in tumors of young patients.See related commentary by Shen et al., p. 530 .This article is highlighted in the In This Issue feature, p. 517

19 Background: The burden of early-onset colorectal cancer (CRC diagnosed before age 50 years) differs across racial/ethnic groups. Yet the distinct prevalence and spectrum of germline pathogenic variants associated with early-onset CRC by race/ethnicity is uncharacterized. Methods: We identified 3,980 early-onset CRC patients unselected for family CRC history who underwent clinical multi-gene panel testing of 14 CRC susceptibility genes ( MLH1, MSH2, MSH6, PMS2, SMAD4, APC, BMPR1, CHEK2, EPCAM, MUTYH, PTEN, STK11, CDH1, and TP53) performed by a nationwide clinical testing laboratory from 2012 to 2016 and identified as Ashkenazi Jewish, Asian, Black, Hispanic, or White. Multi-gene panel testing was performed by targeted custom capture and sequencing and chromosome rearrangement analysis. Clinical and individual/family histories were ascertained from clinician-completed test requisition forms. Germline variant prevalence and spectrum in early-onset CRC was determined by race/ethnicity. Pathogenic variant comparisons by race/ethnicity were evaluated using chi-square tests and multivariable logistic regression adjusted for sex, age, CRC site and sequence. Results: Among 3,980 early-onset CRC patients, a total of 503 germline genetic variants were identified in 481 individuals (12.1%). By race/ethnicity, 12.7% of Ashkenazi Jewish, 8.6% of Asian, 10.3% of Black, 14.0% of Hispanic, and 12.3% of White individuals presented with a pathogenic variant in a CRC susceptibility gene. Nearly 7% of early-onset CRC patients (n = 268) presented with a germline pathogenic mutation in a mismatch repair gene—with the prevalence of Lynch Syndrome in early-onset CRC differing across racial/ethnic groups ( P= 0.037). The prevalence of germline APC, CHEK2, MLH1, monoallelic MUTYH, and PTEN variants also varied by race/ethnicity (all P< 0.02). Overall, Asian individuals with early-onset CRC had 49% lower odds of carrying a pathogenic germline variant in a CRC susceptibility gene versus White individuals in adjusted models (Odds Ratio [OR] = 0.51, 95% Confidence Interval [CI]: 0.26-0.99, P= 0.046). Ashkenazim and Hispanic individuals had higher odds of presenting with pathogenic APC and MLH1 variants, respectively, compared with White individuals in adjusted models ( APC: OR = 8.69, 95% CI: 2.68-28.21, P= 0.0003; MLH1: OR = 2.67, 95% CI: 1.30-5.49, P= 0.007). Conclusions: Of 3,980 patients with early-onset CRC unselected for family history, the prevalence and spectrum of pathogenic germline variants differed across racial/ethnic populations. Beyond multigene panel testing for all early-onset CRC patients, further study is needed to optimize genes selected for germline genetic testing in early-onset CRC across diverse groups—which would have clinical implications for disease surveillance and intervention.

PURPOSE The early-onset colorectal cancer (EOCRC) burden differs across racial/ethnic groups, yet the role of germline genetic predisposition in EOCRC disparities remains uncharacterized. We defined the prevalence and spectrum of inherited colorectal cancer (CRC) susceptibility gene variations among patients with EOCRC by race and ethnicity.PATIENTS AND METHODS We included individuals diagnosed with a first primary CRC between age 15 and 49 years who identified as Ashkenazi Jewish, Asian, Black, Hispanic, or White and underwent germline genetic testing of 14 CRC susceptibility genes performed by a clinical testing laboratory. Variant comparisons by racial and ethnic groups were evaluated using chi-square tests and multivariable logistic regression adjusted for sex, age, CRC site, and number of primary colorectal tumors.RESULTS Among 3,980 patients with EOCRC, a total of 530 germline pathogenic or likely pathogenic variants were identified in 485 individuals (12.2%). By race/ethnicity, 12.7% of Ashkenazim patients, 9.5% of Asian patients, 10.3% of Black patients, 14.0% of Hispanic patients, and 12.4% of White patients carried a germline variant. The prevalence of Lynch syndrome (P = .037), as well as APC, CHEK2, MLH1, monoallelic MUTYH, and PTEN variants, varied by race/ethnicity among patients with EOCRC (all P < .026). Ashkenazim and Hispanic patients had significantly higher odds of presenting with a pathogenic APC variant, which included p.I1307K (odds ratio [OR], 2.67; 95% CI, 1.30 to 5.49; P = .007) and MLH1 variant (OR, 8.69; 95% CI, 2.68 to 28.20; P = .0003), respectively, versus White patients in adjusted models.CONCLUSION Germline genetic features differed by race/ethnicity in young patients with CRC, suggesting that current multigene panel tests may not be representative of EOCRC risk in diverse populations. Further study is needed to optimize genes selected for genetic testing in EOCRC via ancestry-specific gene and variant discovery to yield equitable clinical benefits for all patients and to mitigate inequities in disease burden.