Abstract
Background:
African descent minority groups experience disproportionately higher asthma morbidity compared to other racial groups suggesting that genetic variation from a common ancestry could influence exacerbation risk.
Objective:
We evaluated clinical trial measures in the context of self-reported race and genetic ancestry to identify risk factors for asthma exacerbations.
Methods:
1,840 multi-ethnic individuals from 12 ACRN and AsthmaNet trials were analyzed for incident asthma exacerbations with Poisson regression models that included clinical measures, self-reported race (Black, non-Hispanic White, and other), and estimates of global genetic African ancestry in a subgroup (N=760).
Results:
24% of 1,840 individuals self-identified as Black. Blacks and Whites had common risk factors for exacerbations, including a history of ≥2 exacerbations in the previous year and FEV1%predicted, while chronic sinusitis, allergic rhinitis, and GERD were only associated with increased exacerbation risk in Blacks. In the combined, multi-ethnic cohort, neither race (p=0.30) nor percentage genetic African ancestry as a continuous variable associated with exacerbation risk (adjusted rate ratio [RR]=1.26, 95%CI=0.94–1.70, p=0.13; RR per one SD change [32% ancestry]=0.97, 95%CI=0.78–1.19, p=0.74). However, in 161 Blacks with genetic data, those with African ancestry greater than the median (≥82%) had a significantly greater risk of exacerbation (RR=3.06, 95%CI=1.09–8.6, p=0.03).
Conclusion:
Blacks have unique risk factors for asthma exacerbations, of which global African genetic ancestry had the strongest effect.
Clinical Implications:
The association between African ancestry and exacerbations in African descent groups demonstrates that self-reported race is insufficient to understanding the genetic or other factors that underlie racial differences in asthma morbidity.
Capsule Summary:
This analysis of incident exacerbations in 1,840 unique individuals with asthma from 12 clinical trials identified risk factors unique to 450 self-identified Blacks, including genetic African ancestry in 161 Blacks.
Keywords: exacerbations, race, ancestry, admixture, lung function, genetics, asthma, Black, African Americans, ethnic group
Graphical Abstract
INTRODUCTION
Non-Hispanic Blacks (i.e. African Americans) and Puerto Ricans, a Hispanic group with significant African ancestry, experience substantially higher asthma-related morbidity and mortality compared to non-Hispanic Whites and Hispanic subgroups of lower overall African ancestry [1–3]. Multiple studies have identified Black race as a risk factor for more frequent asthma exacerbations, even when accounting for socioeconomic factors [1, 4–9]. We recently identified a Black, exacerbation-prone asthma subgroup from a randomized trial cohort, best characterized by individuals with an asthma exacerbation in the prior year and lower lung function, factors also associated with exacerbations in other cohorts [10–13]. Post hoc analyses of NHLBI-sponsored Asthma Clinical Research Network (ACRN) and AsthmaNet clinical trial cohorts have shown that African Americans have lower lung function, a greater proportion of uncontrolled asthma, and a greater likelihood of treatment failure compared to their White counterparts [14, 15].
Race and ethnic designations do not sufficiently capture the ancestral genetic, cultural, geographic, or socio-economic contexts which underlie differences in asthma severity between racial groups [16]. Ancestry-based studies leveraging genome-wide genotyping technologies have demonstrated whole-genome African ancestry is associated with higher risk of asthma, lower lung function, and poor symptom control in African Americans and African descent Hispanic groups [17–23]. In a previous study of 392 adolescent and adult African Americans with mild asthma, higher African ancestry was associated with an increased risk of exacerbations requiring a glucocorticoid burst, hospitalization, or emergency department visit based on prescription and health care visit records [22]. These findings were not replicated in other Hispanic or African American asthma cohorts suggesting that the risk factors which underlie inter-ethnic differences in asthma exacerbations are complex [21, 24, 25]. It remains plausible that risk variants from a common ancestry could be enriched in a specific ethnic or racial group and contribute to differences in exacerbation risk [25].
Risk factors associated with inter-ethnic differences in exacerbation risk have not been previously investigated in the context of genetic ancestry in a randomized, controlled, longitudinal clinical trial setting. Hence, we performed a study to identify the determinants of exacerbations in 12 multi-ethnic, NHLBI-sponsored asthma clinical trial cohorts consisting of mild-to-moderate asthma subjects and to evaluate the effects of genetic ancestry on exacerbation risk in a subgroup of trials where genetic data was available. This study tested the hypothesis that self-reported Black race and African ancestry are determinants of asthma exacerbation risk due to genetic factors inherited from a common ancestry in self-reported Blacks and that, in Blacks, genetic ancestry will serve as a stronger predictor due to the complex factors underlying the designation of race.
METHODS
Study Populations
NHLBI-sponsored ACRN and AsthmaNet studies with data on exacerbations requiring systemic glucocorticoid therapy and a minimum of 125 days per study were included to ensure sufficient time to observe exacerbations. The full methodology and results of all 12 clinical trials which randomized asthma subjects to different therapeutic interventions have been previously published and are described in the online repository [26–38]. Each study was approved by the appropriate institutional review boards, and all subjects signed written informed consent.
Study outcomes
The primary outcome of this analysis was the number of asthma exacerbations in a unique individual over the course of participation in one or more ACRN and AsthmaNet trials. Exacerbations were defined as any worsening of asthma symptoms requiring the initiation of treatment with systemic corticosteroids documented with patient and coordinator-completed questionnaires and medication data collected for each trial. Self-identified race and ethnicity (Hispanic versus non-Hispanic was not collected independent of race in all cohorts) were classified as Caucasian or non-Hispanic White (NHW), Black (Hispanic and non-Hispanic), and other (which included Hispanics who did not identify as Black or White).
Estimating Global Genetic Ancestry
Genome-wide genotyping data from the TALC/BASALT cohorts (290 NHW, 110 Blacks, and 75 other) and the SLIC/SOCS/IMPACT cohorts from the NHLBI Database of Genotypes and Phenotypes (dbGaP) SNP Health Association Resource (SHARe) Asthma Resource Project (SHARP: 218 NHW, 54 Blacks, and 37 other) were used to estimate whole-genome ancestral admixture (dbGaP project number 12153, PHS accession number phs000166). The TALC/BASALT and SLIC/SOCS/IMPACT genotyping datasets contained 60,117 and 53,826 single nucleotide polymorphisms (SNP’s) meeting Hardy-Weinberg expectations (p<10−4), respectively, after pruning (r2 ≥ 0.1) to estimate whole-genome ancestral admixture. Percentage European, African, and Native American ancestry was estimated using the ADMIXTURE program and genetic data from 113 European descent Whites (CEU, HapMap), 113 Yorubans (YRI, HapMap), and 43 Native Americans [39, 40].
Statistical analysis
Poisson regression models evaluated the associations between predictors and number of exacerbations accounting for the duration of time that each participant was observed in each trial and accommodated individual participation in multiple trials using generalized estimating equations. Potential predictors were assessed individually in bivariate models adjusted for protocol in all subjects from the multi-ethnic cohorts (N=1,840) and stratified by race. Bivariate models in the subgroup with genetic data (N=760) evaluated for the same potential predictors and for associations with percentage African ancestry as a continuous and categorical (above and below median) variable due to the narrow distribution of African ancestry in Blacks (interquartile range=71–87%, Figure Ib) as consistent with prior ancestry-based studies [20, 23].
Significant predictors of exacerbation rate (p<0.05) were combined in multivariable models in the combined multi-ethnic cohorts and by individual race. Multivariable models in the combined multi-ethnic subgroup with genetic data analyzed African ancestry above and below median values as a nested effect within race group and in individual race groups. Results are reported as exacerbation rates per person-year for each group, rate ratios (RR), and 95% confidence intervals (95%CI) between groups. To internally validate the association between median African ancestry and exacerbation risk in Blacks, multivariable models were independently performed in trial cohorts genotyped through dbGaP SHARe (51 Blacks from SOCS/SLIC/IMPACT) and with the Illumina OmniExpress HumanExome BeadChip (“Exome Chip,” 51 from TALC and 59 from BASALT, Table E1).
RESULTS
Baseline characteristics
A total of 1,840 unique subjects from 12 ACRN and AsthmaNet studies with median observation periods ranging from 126 to 379 days were included in the analyses (Table E1). The mean exacerbation rate for all subjects was 0.20 exacerbations per person-year (95%CI=0.18−0.23, Table E1). 24% of subjects self-identified as Black, 60% as non-Hispanic White, and 15% as other. The baseline characteristics of the combined multi-ethnic cohorts, Whites, and Blacks are summarized in Table I (data for “other” racial or ethnic groups are in Table E2). The mean FEV1 was 82 percent of predicted (80% in Blacks and 84% in Whites, Table I). 760 unique subjects had whole-genome genotyping data available for ancestry-based analyses, including 161 Blacks. Individual trial-specific data for mean exacerbation rates and genotyping data are in Table E1. Across the whole population, percent African ancestry had a bimodal distribution reflecting known distributions in Black and non-Black ethnic groups (Figure 1a) [20, 23]. Self-identified Blacks had a median African genetic ancestry of 82% (interquartile range=71–87%, Figure Ib) while the majority of non-Black subjects had <25% African ancestry (Figure 1c).
Table I:
Variablea | All Subjects (N=1840) | Blacks (N=450) | Non-Hispanic Whites (N=1108) |
---|---|---|---|
Age (years) | 36 (12) | 37 (12) | 36 (12) |
Sex (n [%male]) | 665 (36%) | 110 (24%) | 667 (60%) |
BMI | 29 (7.7) | 32 (9.2) | 27 (6.6) |
Subgroup with genotyping | 787 | 165 | 510 |
Ancestry median (Q1,Q3): % African % European % Native American |
2% (0.3%, 14.7%); 97% (54.7%, 99.1%); 1% (0.2%, 1.9%) |
82% (71%, 87%); 16% (11%, 26%); 1% (1%, 2%) |
0% (0%, 2%); 99% (98%, 99%); 0% (0%, 1%) |
oral steroid bursts in prior 12 months | 0.36 (0.82) | 0.61 (1.1) | 0.27 (0.65) |
FEV1%predicted | 82% (15%) | 80% (14%) | 84% (15%) |
PC20, geometric mean (CV)b | 1.54 (1.31) | 1.35 (1.36) | 1.60 (1.29) |
%BD reversibility post 4 albuterol puffsc | 12% (9.4%) | 13% (11%) | 12% (9.0%) |
ACQ6d | 0.96 (0.74) | 1.02 (0.88) | 0.95 (0.68) |
Blood eos (absolute count/mm3), median (Q1, Q3)e | 198 (100, 300) | 178 (100, 295) | 200 (100, 300) |
%Sputum eos, median (Q1, Q3)f | 0.4 (0.0, 1.7) | 0.4 (0.0, 1.7) | 0.4 (0.0, 1.6) |
Serum IgE, median (Q1, Q3)g | 136 (51, 333) | 201 (83, 496) | 107 (43, 256) |
Baseline characteristics expression as a mean with standard deviation (SD) unless otherwise stated, including medians with interquartile ranges (Q1, Q3).
Methacholine PC20 available on 1,604 subjects (392 Blacks, 970 Whites).
Bronchodilator (BD) reversibility of FEV1 in response to four puffs of albuterol available on 1,363 subjects (450 Blacks, 807 Whites).
Asthma Control Questionairre-6 (ACQ-6) available on 1,035 subjects (233 Blacks, 640 Whites).
Blood eosinophil (eos) counts available on 967 subjects (216 Blacks, 587 Whites).
Sputum eosinophil (eos) percentages available on 1,291 subjects (286 Blacks, 808 Whites).
IgE Available on 983 subjects (212 Blacks, 605 Whites).
Bivariate Models of Exacerbations Excluding Genetic Ancestry (All 1,840 subjects: 450 Blacks, 1088 Whites)
Self-reported Black race was not associated with a statistically significant difference in exacerbation rate compared with Whites (RR=1.26, 95%CI=0.94–1.70, p=0.13, Table II). Across all races, significant bivariate risk factors for exacerbations included a previous history of 1 and ≥2 exacerbations, female sex, lower % predicted FEV1, methacholine bronchial hyperresponsiveness, sputum eosinophils, chronic sinusitis, GERD, nasal polyps, allergic rhinitis, and household income (p<0.05, Table III).
Table II:
Self-identified race (n=1,840) | Mean exacerbation rate, per person-year (SE) | RR (95% CI) | P-value |
---|---|---|---|
0.30 | |||
Black (n=440) | 0.21 (0.03) | 1.26 (0.94,1.70) | 0.13 |
White non-Hispanic (n=1108) | 0.17 (0.02) | ref | ref |
Other (n=282) | 0.19 (0.04) | 1.14 (0.78, 1.66) | 0.50 |
Models adjusted for protocol.
Table III:
Variable, per SD change for cont variables | Entire population (all races) | Self-identified Black | Non-Hispanic Whites | ||||||
---|---|---|---|---|---|---|---|---|---|
N | RRa (95% CI) | p-value | N | RR (95% CI) | p-value | N | RR (95% CI) | p-value | |
Hx steroid-requiring exacerbation: ≥2 vs 0 1 vs 0 |
1840 | 450 | 1108 | ||||||
Sex (F vs M) | 1840 | 1.6 (1.19, 2.22) | 0.002 | 450 | 1.1 (0.65, 1.86) | 0.720 | 1108 | 1.48 (1.01, 2.16) | 0.04 |
BMI per 7.7 increase (9.2 in Blacks, 6.6 in Whites) | 1840 | 1.0 (0.90, 1.18) | 0.64 | 450 | 1.1 (0.91, 1.42) | 0.26 | 1108 | 0.82 (0.67, 0.99) | 0.04 |
% pred FEV1, per 14.65% increase (13.99 in Blacks, 14.62 in Whites) | 1839 | 0.74 (0.63, 0.87) | <0.001 | 450 | 0.73 (0.55, 0.95) | 0.021 | 1107 | 0.76 (0.62, 0.93) | 0.008 |
Log2(PC20), per 1.89 unit increase (1.94 in Blacks, 1.86 in Whites) | 1604 | 0.85 (0.74, 0.98) | 0.030 | 382 | 1.0 (0.81, 1.34) | 0.742 | 952 | 0.82 (0.68, 0.99) | 0.04 |
Sputum Eos, per 4.5% increase (4.2% in Blacks, 4.7% in Whites) | 991 | 1.1 (1.03, 1.22) | 0.009 | 279 | 1.0 (0.97, 1.06) | 0.669 | 793 | 1.07 (0.92, 1.25) | 0.35 |
Chronic sinusitis (Y vs N) | 855 | 1.9 (1.28, 2.85) | 0.002 | 254 | 2.8 (1.51, 5.07) | 0.001 | 493 | 1.53 (0.83, 2.80) | 0.17 |
GERD (Y vs N) | 841 | 1.8 (1.20, 2.61) | 0.004 | 250 | 2.2 (1.17, 4.13) | 0.014 | 486 | 1.72 (0.97, 3.07) | 0.06 |
Nasal polyps (Y vs N) | 838 | 1.7 (1.00, 2.91) | 0.049 | 243 | 2.0 (0.89, 4.55) | 0.093 | 488 | 1.30 (0.56, 3.03) | 0.55 |
Allergic rhinitis (Y vs N) | 336 | 1.7 (1.01, 2.96) | 0.045 | 121 | 2.2 (1.03, 4.68) | 0.042 | 168 | 1.49 (0.63, 3.51) | 0.37 |
Household income, per each increase in income bracket | 333 | 0.66 (0.50, 0.85) | 0.002 | 120 | 0.78 (0.50, 1.22) | 0.278 | 168 | NA | 0.09 |
%African Ancestry, per 32% change in all (18% change in Blacks, 7% in NHW) | 760 | 0.97 (0.78, 1.19) | 0.745 | 161 | 2.1 (0.85, 5.02) | 0.109 | 497 | 0.86 (0.53, 1.40) | 0.55 |
Relative rates (RR) for continuous variables expressed per change by one standard deviation. Models were based on repeated measures, poisson regression models adjusted for protocol. Variables not listed were not statistically significant.
In Blacks, increased exacerbation risk significantly associated with history of ≥2 steroid-requiring exacerbations in the prior year versus none (RR=2.2, 95%CI=1.2−4.0, p=0.01), lower % predicted FEV1 (RR=1.4 per standard deviation [SD=15%] decrease, 95%CI=1.1−1.9, p = 0.02), chronic sinusitis (RR=2.8, 95%CI=1.5−5.1), p=0.001), GERD (RR=2.2, 95%CI=1.2−4.1, p=0.01), and allergic rhinitis (RR=2.2, 95%CI=1.0−4.7, p=0.04, Table III). In Whites, bivariate risk factors common to Blacks included a history of ≥2 exacerbations (RR=2.51, 95%CI=1.49−4.24, p<0.001) and lower % predicted FEV1 (RR=0.76 per SD (15%) increase, 95%CI=0.62−0.93, p = 0.008). Risk factors unique to Whites included a history of one steroid-requiring exacerbations in the prior year versus none (RR=1.94, 95%CI=1.27−2.99, p<0.001), female sex (RR=1.48, 95%CI=1.01−2.16), BMI (p=0.04), and methacholine bronchial hyperresponsiveness (RR=0.82 per 1.86 unit increase in logPC20, 95%CI=0.68–0.99, p=0.04, Table III).
Bivariate Models of Exacerbations Including Genetic Ancestry (760 Subjects with Genetic Data: 161 Blacks, 489 Whites)
In the subgroup of all races with genetic data and non-missing outcome data necessary for the Poisson regression models, African ancestry as a continuous variable was not associated with exacerbation rate (RR per SD [32%] 0.97, 95%CI=0.78−1.19, p=0.74, Table III). European and Native American ancestry also did not associate (Table E3). In Blacks, African ancestry as a continuous variable (RR per SD [18%] 2.1, 95%CI=0.85−5.02, p=0.11, Table III) and in 20% increments (to confirm a prior study) was not associated with exacerbation risk (RR=2.2 for every 20% increase in African ancestry, 95%CI=0.84–6.00, p=0.11) [22].
Due to the remarkably different distributions of genetic ancestries between racial groups (Table I, Figures 1b–d) and the narrow range of African ancestry in Blacks (Table I, Figure 1b) consistent with previous studies, African ancestry was evaluated for individuals from all racial groups with ancestry above and below median values as a nested effect within race group [20]. In a simple model with median African ancestry nested within race adjusted for protocol, Blacks with ≥82% African ancestry had a three-fold higher rate of exacerbations per patient-year compared with those below the median 82% (RR 3.06, 95%CI=1.09, 8.60, p=0.03, Table IV). Blacks with ≥82% African ancestry had a 1.5-fold higher rate of exacerbations compared to Whites (0.31 versus 0.16 exacerbations per patient-year, p=0.19), but the difference was also 3-fold higher than other Blacks with ancestry <82% (0.10 exacerbations per patient-year, p=0.03, Table IV, Figure 2). Median African ancestry was not associated with exacerbations in non-Hispanic Whites (RR=1.43, 95%CI=0.86, 2.37, p=0.17, Table IV) who had a low median African ancestry of 0% within a narrow range (interquartile range=1–2%, Table I, Figure Ic).
Table IV:
Self-identified race | Mean exacerbation rate per person-year | |||
---|---|---|---|---|
Above Median | Below Median | RR (95%CI) | P-value | |
Black (n=161) Median %AA = 82% |
0.315 | 0.103 | 3.06 (1.09, 8.60) | 0.034 |
White non-Hispanic (n=489) Median %AA = 0.5% |
0.263 | 0.190 | 1.43 (0.86, 2.37) | 0.167 |
Other (n=110) Median %AA = 9.3% |
0.220 | 0.336 | 0.65 (0.25, 1.73) | 0.391 |
Multivariable Models Excluding (1,840 Total Subjects) and Including Ancestry (760 Subjects with Genetic Data)
In the multi-ethnic Poisson regression models in all subjects which included protocol, age, sex, FEV1, race, and exacerbation history; significant predictors of future exacerbations across all races continued to be a history of 1 and ≥2 exacerbations in the last year (RR=1.73, 95%CI=1.26−2.37, p<0.001 and RR=2.55, 95%CI=1.80−3.61, p<0.001, Table E4), female sex (RR 1.61, 95%CI=1.17−2.20, p=0.003, Table E4), and lower percentage predicted FEV1 (RR=0.73 for each 15% increase, 95%CI=0.62–0.86, p<0.001, Table E4). When median African ancestry was nested by race in the combined cohort of 161 Blacks, 489 Whites, and 110 other with genetic ancestry data, a history of ≥2 exacerbations in the last year (RR=2.09, 95%CI=1.11−3.94, p=0.02) and median African ancestry in Blacks (RR=2.84, 95%CI=1.00−8.04, p=0.0495, Table E4) were the only significant risk factors for future exacerbations.
When the multivariable models were stratified by race in all subjects with and without genetic data, a history of ≥2 exacerbations in the past year and lower percentage predicted FEV1 remained significant risk factors for exacerbations in both Blacks and Whites (Table V). However, in Blacks with genetic ancestry data, African ancestry ≥82% was the only significant risk factor for exacerbations (RR=3.4, 95%CI=1.15−9.81, p=0.027, Table VI) while a prior history of ≥2 exacerbations (p=0.56), FEV1 (p=0.86, Table VI) and chronic sinusitis (p=0.77, data not shown for the subgroup [N=254]) were not significantly associated with exacerbations. When Blacks were stratified for internal validation, (baseline characteristics for groups are shown on Table E5), Blacks with higher African ancestry ≥82% across dbGaP SHARe (SOCS/SLIC/IMPACT, RR=7.34, 95%CI=0.86−62.8, p=0.07) and Exome Chip-genotyped TALC (RR=2.82, 95%CI=0.61−13.0, p=0.18) and BASALT (RR=1.34, 95%CI=0.12−15.1, p=0.81) cohorts had comparatively higher rates of exacerbations compared to those below the median. The only significant difference between Blacks with African ancestry above versus below the median was that Blacks with African ancestry ≥82% had a higher rate of chronic sinusitis (25% vs 9%, p=0.02, Table E6).
Table V:
Significant exacerbation Predictors | All Blacks (n=450)a | All non-Hispanic Whites (n=1108)a | ||
---|---|---|---|---|
RR (95% CI) | P-value | RR (95% CI) | P-value | |
Exacerbation history | 0.053 | <0.001 | ||
≥2 vs 0 | 2.1 (1.10–3.84) | 0.024 | 2.5 (1.45–4.18) | <0.001 |
1 vs 0 | 1.7 (0.92–3.03) | 0.091 | 1.8 (1.20–2.84) | 0.005 |
Sex (Females versus Males) | 1.1 (0.63–1.83) | 0.79 | 0.7 (0.47–1.01) | 0.054 |
% predicted FEV1, per 14% increase | 0.7 (0.54–0.95) | 0.022 | 0.8 (0.62–0.93) | 0.008 |
Relative rates (RR) for continuous variables expressed per change by one standard deviation. Models include median percentage African genetic ancestry (AA) which varied between race dues to marked differences in distribution of Native American, European, and African ancestries. Models also include protocol, age, sex, FEV1, race, and exacerbation history.
Poisson regression, repeated measures.
Table VI:
Significant exacerbation Predictors | Blacks, with ancestry data available (n=161)a | Whites, with ancestry data available (n=489)a | ||
---|---|---|---|---|
RR (95% CI) | P-value | RR (95%CI) | P-value | |
Exacerbation history | 0.83 | 0.19 | ||
≥2 vs 0 | 1.5 (0.37–6.34) | 0.56 | 1.4 (0.48–3.83) | 0.57 |
1 vs 0 | 1.2 (0.35–4.33) | 0.75 | 1.7 (0.96–3.13) | 0.07 |
Sex (Females versus Males) | 0.9 (0.31–2.52) | 0.82 | 0.7 (0.41–1.28) | 0.27 |
% pred FEV1, per 14% increase | 1.1 (0.59–1.89) | 0.86 | 0.8 (0.64–1.07) | 0.16 |
%AA (median cutpoint) | 3.4 (1.15–9.81) | 0.027 | 1.5 (0.92, 2.51) | 0.10 |
Relative rates (RR) for continuous variables expressed per change by one standard deviation. Models include median percentage African genetic ancestry (AA) which varied between races due to marked differences in distribution of Native American, European, and African ancestries. Models also include protocol, age, sex, FEV1, race, and exacerbation history.
Poisson regression.
DISCUSSION
In the United States, self-identified Blacks and Puerto Ricans with asthma experience a disproportionate burden of asthma compared to Whites, with more frequent exacerbations requiring urgent outpatient visits, hospitalizations, and death [1–9]. Multiple epidemiologic studies have demonstrated racial differences in asthma-related morbidity which persist even after statistical adjustments for different socioeconomic surrogates [1, 4–9]. The racial designations used in these studies are determined by a complex interplay between genetic, geographic, cultural, and socioeconomic factors. Even after adjustment for surrogate markers for socioeconomic status, self-reported race and ancestry are insufficient to achieve an understanding of the mechanisms underlying differences in disease expression between racial groups [16, 41]. Few studies have compared risk factors for asthma exacerbations between similarly recruited racial or ethnic groups in a longitudinal cohort, and only two evaluated genetic ancestry and longitudinal risk for incident exacerbations [5, 6, 8, 9, 21, 22].
In ACRN and AsthmaNet trial cohorts, we found that a history of prior exacerbations and lower lung function were associated with incident exacerbations across all races, while chronic sinusitis, allergic rhinitis, and GERD were only associated in Blacks. Most importantly, we were unable to detect statistically significant differences in exacerbation rates between individuals of self-reported Black race compared to Whites (Table II). The absence of significant inter-racial differences could relate, at least in part, to a sample size underpowered to detect the complex effects of race, but ancestry-based genetic analyses in a smaller subgroup of Blacks with genetic ancestry detected significant differences between Blacks with a higher African ancestry above the median of 82% who had a higher exacerbation rate compared to those with lower ancestry who were similar to Whites (Figure 2). The relative exacerbation rate associated with African ancestry was highest among the risk factors we identified, including exacerbation history and was also associated with risk for chronic sinusitis. This demonstrates that exacerbation risk is better predicted by genetic variation from a common ancestry than race or even exacerbation history, of which the latter is a well-recognized, strong risk factor for exacerbations in this and other studies [8, 10, 11].
The study of clinical trial cohorts allowed for the study of individuals from different ethnic groups with objectively diagnosed asthma continually monitored for compliance and outcomes such as exacerbations requiring glucocorticoid therapy as a pre-defined outcome. We identified multiple risk factors for exacerbations, including baseline lung function, history of prior exacerbations, chronic sinusitis, and GERD, all of which have been associated with exacerbation risk in previous studies, including cross-sectional and longitudinal studies from different phases of the NHLBI-sponsored Severe Asthma Research Program [1, 4–8, 42]. Both sinus disease and GERD were unique risk factors in Blacks, but have consistently been associated with exacerbation risk in multiple asthma cohorts [6, 12, 42, 43]. The role of these co-morbid conditions in determining asthma exacerbations in Blacks is unclear, but genetic African ancestry has been associated with IgE levels in different African descent Hispanic asthma cohorts suggesting mechanisms related to allergic inflammation in African descent individuals [17, 18, 24].
High-throughput genotyping has provided an unprecedented opportunity for ancestry-based genetic studies in diverse cohorts to precisely and objectively define genetic ancestry in order to improve our understanding of how genetic variation from a common ancestry associates with disease outcomes [16]. This analysis of global African genetic ancestry was based on the hypothesis that risk alleles from a common ancestry are enriched in ethnic groups that experience a disproportionate burden of disease. There are variants in multiple genetic pathways known to influence measures of clinical severity (lung function, atopic measures, comorbidities) and therapeutic responsiveness (pharmacogenetic loci) in asthma cohorts [25, 44–46]. Like most variation throughout the genome, these genetic risk loci have varying allele frequencies between individuals from different ancestral backgrounds that could influence asthma severity and therapeutic responsiveness to commonly used asthma therapies in African descent individuals [5, 14, 15, 25, 44–48]. In African Americans and Puerto Rican asthma cohorts, higher African ancestry has consistently been shown to be inversely associated with baseline lung function measures consistent with observations from large, general populations [20, 23, 45, 49].
Three prior ancestry-based genetic studies have tested for associations between global genetic ancestry and asthma exacerbations in African descent cohorts, two in African Americans and one in Puerto Ricans [21, 22, 24]. Of these, a single-center urban study of 392 self-reported Blacks ages 12–56 years with physician-diagnosed mild asthma from the Study of Asthma Phenotypes and Pharmacogenomic Interactions by Race-Ethnicity (SAPPHIRE) was the only to find an association between genetic African ancestry and exacerbation risk. In SAPPHIRE, African genetic ancestry was estimated using 59 ancestry-informative markers only for African and European ancestry resulting in a mean African ancestry estimate of 76.1%, which was lower than Blacks from our trial cohorts (82%). This difference reflects the known differences in ancestral proportions in Blacks across the United States in addition to the fact that our study did not include adolescents [22, 23, 50]. SAPPHIRE found a 4.3-fold increased risk of exacerbation with each 20% increase in African ancestry only in male subjects. We did not find an interaction between ancestry and sex on exacerbation risk as sex was only associated with exacerbation rates in Whites (Table I) [22]. The basis for the differences in associations identified between SAPPHIRE and ours could relate to the variability of risk factors in adolescents versus adults or mild versus mild-to-moderate asthma.
Our study demonstrates several novel aspects as it relates to the association between African ancestry and asthma exacerbations which distinguishes it from prior studies, particularly from the SAPPHIRE cohort [21, 22, 24]. First, our study is the first to demonstrate that higher African ancestry associated with risk for asthma exacerbations in all Blacks, independent of sex. Second, this study is the first to evaluate African ancestry in the context of race-specific predictors of asthma exacerbations across multiple ethnic groups. Prior studies were limited to specific minority groups without similarly recruited subjects from other ethnic groups [21, 22, 24]. This is important because non-Hispanic Whites had a similar risk for exacerbations (0.16) compared to Blacks with an African ancestry <82% (0.16 versus 0.10 per patient-year) who were both lower than Blacks with higher African ancestry (0.31 per patient-year, Figure 2). These unique comparisons based on ancestry in Blacks versus Whites resulted in further supportive evidence of protective genetic factors from higher European versus lower African ancestry as a rationale for known inter-racial differences in asthma morbidity. Finally, this study is the first to leverage longitudinal clinical trial data to evaluate African ancestry in a setting where an objective asthma diagnosis, baseline asthma severity at enrollment, exacerbation events, availability of chronic asthma therapies, and compliance are precisely defined, documented systematically, and monitored with in-person visits over narrow time intervals. A clinical trial design distinguishes us from prior studies based on a physician’s diagnosis of asthma that might not have fully accounted for socioeconomic factors determining asthma severity or availability of chronic therapies [22].
We were unable to fully account for socioeconomic status, stress, environmental, or cultural factors that track with ancestry to influence exacerbation risk. While socioeconomic factors have been associated with increased exacerbation risk, they alone do not account for all of the increased asthma risk amongst Blacks and other minority groups and the usual surrogates for socioeconomic status do not fully account for the life-long social experiences implicit to self-reported race [1, 5, 16, 41]. Unfortunately, socioeconomic data was not collected uniformly across ACRN and AsthmaNet trials; however, medication compliance was rigorously monitored throughout the course of these clinical trials with close clinical follow-up mitigating, at least in part, the adverse effects of lower income on access and adherence to treatment.
In conclusion, in Whites and Blacks with asthma, lower baseline lung function and a history of prior exacerbation associated with an increased exacerbation rate requiring systemic glucocorticoid therapy while in self-identified Blacks these and additional unique race-specific factors were no longer associated when the stronger effects of African ancestry was considered (Table V). These findings suggest that factors tracking with African ancestry mediated associations between lung function, allergic sinus disease, and exacerbation frequency in Blacks. Hence, studies based on self-reported race alone are insufficient to improve our understanding of genetic and environmental factors that track with ancestry which could underlie racial differences in asthma morbidity [25]. Additional studies, including whole-genome admixture mapping or GWAS complemented by multi-omic studies in longitudinal, comprehensively-characterized, diverse asthma cohorts will be required to identify the ancestry-specific genomic and environmental factors that influence exacerbation risk.
Supplementary Material
Acknowledgements:
We would like to acknowledge the NHLBI for funding support for this analysis and all of the patients who participated in these Asthma Clinical Research Network and AsthmaNet trials.
Funding Sources: This work was supported by grants from the NIH NHLBI K08 HL118128 and R01 HL142992 and AsthmaNet grants: HL098102, HL098096, HL098075, HL098090, HL098177, HL098098, HL098107, HL098112, HL098103, HL098115.
Role of the funding source: The sponsors of the study, including the NHLBI, had no involvement in study design; data collection, data analysis, and data interpretation; or the preparation of the report and the decision to submit for publication.
Abbreviations:
- 95% CI
95% confidence intervals
- ACRN
Asthma Clinical Research Networ
- dbGaP
Database of Genotypes and Phenotypes
- FEV1
forced expiratory volume in 1 second
- PC20
provocative dose of methacholine resulting in a 20% decline in FEV1
- NHLBI
National Heart, Lung, and Blood Institute
- RR
Rate Ratio
- SHARP
SNP Health Association Resource [SHARe] Asthma Resource Project
- SD
standard deviation
- SNP
Single Nucleotide Polymorphism
Footnotes
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Disclosure of Potential Conflicts of Interest:
The authors, many of whom receive funding from the NIH, report no financial or personal relationships that could influence this work:
Nicole L. Grossman, MD: Nothing to disclose.
Victor E. Ortega, MD, PhD: Nothing to disclose.
Tonya S. King PhD: Dr. King reports personal fees from Pearl Therapeutics and Insmed Inc., all outside the submitted work.
Eugene R. Bleecker, MD: Dr. Bleecker reports clinical trial funding through his institutions from AstraZeneca, MedImmune, Boehringer Ingelheim, Genentech, Johnson and Johnson (Janssen), Novartis, Regeneron, and Sanofi Genzyme. He reports consultancy fees from AstraZeneca, MedImmune, Boehringer Ingelheim, Glaxo Smith Kline, Novartis, Regeneron, and Sanofi Genzyme. All are outside the submitted work.
Elizabeth A. Ampleford, PhD: Nothing to disclose.
Leonard B. Bacharier, MD: Dr. Bacharier reports consultancy fees from Aerocrine, GlaxoSmithKline, Genentech/Novartis, TEVA, AstraZeneca, Boehringer Ingelheim, and Vectura. He reports personal fees for advisory board participation from Merck, Sanofi/Regeneron, Vectura, and Circassia as well as fees for Data Safety and Monitoring Board participation from DBV Technologies. He is a speaker for Genentech/Novartis, TEVA, AstraZeneca, Sanofi/Regeneron, and Boehringer Ingelheim. He reports honoraria from WebMD/Medscape. All outside the submitted work.
Michael D. Cabana, MD, MPH: Dr. Cabana reports consultancy fees from Genentech and Novartis, outside the submitted work.
Juan C. Cardet, MD, MPH: Nothing to disclose.
Tara F. Carr, MD: Dr. Carr reports consultancy fees from AstraZeneca, Sanofi-Regeneron, and Boehringer Ingelheim as well as royalties from Wolters-Kluwer (UpToDate), all outside the submitted work.
Mario Castro, MD: Dr. Castro reports Pharmaceutical grant funding to his institution from AstraZeneca, Boeringer Ingelheim, Chiesi, GSK, Novartis, Sanofi Aventis. He reports consultancy fees from Aviragen, Boston Scientific, Genentech, Nuvaira, Neutronic, Therabron, Theravance, Vectura, 4D Pharma, VIDA, Mallinckrodt, TEVA, and Sanofi-Aventis. He is a speaker for AstraZeneca, Boeringer Ingelheim, Boston Scientific, Genentech, Regeneron, Sanofi, TEVA. He reports royalties from Elsevier. All outside the submitted work.
Loren C. Denlinger, MD: Dr. Denlinger reports personal fees from AstraZeneca, Sanofi-Regeron, and GlaxoSmithKline, all outside the submitted work.
Joshua L. Denson, MD: Nothing to disclose.
Nicolas Fandino: Nothing to disclose.
Anne M. Fitzpatrick, PhD: Nothing to disclose.
Gregory A. Hawkins, PhD: Nothing to disclose.
Fernando Holguin, MD, MPH: Nothing to disclose.
Jerry A. Krishnan, MD, PhD: Dr. Krishnan reports personal fees for Independent Data Monitoring Committee participation from Sanofi, all outside the submitted work.
Stephen C. Lazarus, MD: Dr. Lazarus reports grant funding from the American Lung Association - Airway Clinical Research Centers Network, all outside the submitted work.
Sharmilee M. Nyenhuis, MD: Nothing to disclose.
Wanda Phipatanakul, MD: Dr. Phipatanakul reports consultancy fees from Genentech, Novartis, Regeneron, GSK, and Astra Zeneca. She reports grant funding to her institution from Genentech, Thermo Fisher, and Alk Abello. All are outside the submitted work.
Sima K. Ramratnam, MD: Nothing to disclose.
Sally Wenzel, MD: Dr. Wenzel reports having been principal investigator on studies sponsored by AstraZeneca, Boehringer-Ingelheim, GSK, Novartis and Sanofi. She reports consultancy fees for AstraZeneca, Sanofi, and Pieris and has received royalties from UptoDate. All are outside the submitted work.
Stephen P. Peters, MD, PhD: Nothing to disclose.
Deborah A. Meyers, PhD: Nothing to disclose.
Michael E. Wechsler MD, MMSc: Dr. Wechsler reports grant funding to his institution from AstraZeneca, Novartis, Sanofi, GlaxoSmithKline, Boston Scientific, and TEVA. He reports consultancy fees from AstraZeneca, Novartis, Sanofi, GlaxoSmithKline, Boston Scientific, TEVA, Regeneron, Mylan, Genentech, Restorbio, Equilium, and Boehringer Ingelheim. All are outside the submitted work.
Elliot Israel, MD: Dr. Israel reports consultancy fees from AstraZeneca, Novartis, Regeneron Pharmaceuticals, TEVA Specialty Pharmaceuticals, Bird Rock Bio, Nuvelution Pharmaceuticals, Vitaeris, Inc, Sanofi Genzyme, Merck, Entrinsic Health Solutions, GlaxoSmithKline, Vorso Corp., Pneuma Respiratory, 4D Pharma, Sienna Biopharmaceutical, Equillium, and Genentech. He reports grant funding through his institution from Genentech, Novartis, Sanofi, Boehringer Ingelheim, AstraZeneca, TEVA Specialty Pharmaceuticals, and Circassia. All are outside the submitted work.
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