Pulmonary arterial hypertension (PAH) is a disease that is
typically fatal within 5–7 years of diagnosis for most subjects and occurs in all
ancestral populations (1). Since the initial
discovery of BMPR2 (bone morphogenetic protein receptor type 2) mutation as a cause of
PAH, countless publications have further expanded the genetics of PAH, including
discoveries of other causative genes and the role of common gene variant associations
(2–4). Yet, few studies have comprehensively explored how ancestry, race, or
ethnicity plays a role in PAH development and response to therapy. The lack of such
studies is striking given the intense focus on providing personalized care to patients
with PAH. Of course, studies of discrete populations, such as minority groups, are
challenging to perform in rare diseases given the small numbers of subjects.Nearly a decade ago, Gabler and colleagues conducted a pooled analysis of data from
placebo-controlled trials of the use of endothelin receptor antagonists in >1,000
participants with PAH, and uncovered variations in response to endothelin receptor
antagonists related to sex and self-reported race (5). Race-based comparisons focused on black versus white individuals showed
a difference in placebo-adjusted beneficial treatment response, favoring white
individuals by considerable effect sizes. However, this difference did not meet
statistical significance. Although other racial groups were not explored, the study was
an important reminder that variations in treatment response may occur among individuals
of different racial and ethnic groups. A few subsequent studies reported the impact of
self-reported African ancestry; overall, there appears to be a higher degree of severity
and perhaps a reduced treatment response among those who self-report as black (6–10).The self-reported data suggesting that black individuals have poorer outcomes are
troubling and raise more questions than answers. More broadly, this also highlights our
inadequate understanding, even to this date, of the role of racial, ethnic, and
ancestral factors in PAH and pulmonary hypertension. As a reminder, in biomedical
research, the term “race” refers to an individual’s appearance. In
contrast, “ethnicity” suggests a communal participation in a group (or
groups) of individuals who share specific cultural traits, including traditions,
language, social practices, and even geopolitical factors (11). Unfortunately, these categorizations typically rely on an
individual participant’s self-report or assignment by investigators, both of
which are highly prone to error, especially when compared with DNA-based determination
(12). Errors may arise from an
individual’s lack of knowledge about his or her actual background and alignment
with an ethnic group that has a genetically admixed background (11). As a result, recent studies found that self-reported race is
likely to be incorrect and/or have a higher degree of admixture than would be assumed
(13, 14). Self-identified Hispanics in New York City, for example, were shown to
be 29% European, 26% African, and 45% Native American by ancestry-informative markers
(15).In this issue of the Journal, Karnes and colleagues (pp. 1407–1415) explore the role of race and ethnicity in PAH (16). They determined ancestry in patients with
PAH using genetic markers by incorporating information contained in several large U.S.
datasets. Self-reported race and ethnicity were combined to form selected groups of
non-Hispanic white (NHW), non-Hispanic African American (NHAA), and Hispanic subjects.
Reasonably consistent with prior studies, NHWs were 97% European, NHAAs were 82% African
(16% European), and Hispanics were 85% European, 36% Native American, and 7% African by
genetically determined ancestry. Although the groups were similar by most standard
PAH-relevant comparisons, Hispanics were younger, with a higher mean pulmonary artery
pressure and pulmonary vascular resistance but lower concurrent use of prostacyclin
analogs. Intriguingly, in survival analyses, self-reported Hispanic status in both the
PAH Biobank and Allegheny Health Network cohorts was associated with a statistically
significantly improved transplant-free survival. It does not appear that survival was
modified by genetic ancestry according to the a priori level of
statistical significance.To strengthen their study, the authors evaluated a distinct database of patients with PAH
in self-reported or hospital-assigned categories. This analysis included data for 8,829
NHWs, 2,628 NHAAs, 1,524 Hispanics, 403 Asians, and 185 Native Americans from the U.S.
National Inpatient Sample database. Regression analyses of these data showed that both
Hispanic status and Native American status were protective of inpatient mortality versus
NHW status. In contrast, NHAA status conferred increased mortality compared with NHW
status, consistent with prior concerns about poorer outcomes for African Americans with
PAH (5–9).This study has multiple strengths, including the number of subjects studied, the
integration of self-report and genetic identification, and the additional value of an
extensive inpatient database. Given the importance of distinguishing race, ethnicity,
and ancestry, the ability to assess ancestry-informative markers added a layer of depth
and supported the authors’ conclusion that Native American ancestry may
contribute to Hispanics’ protection against deleterious outcomes. The large
sample size allowed the authors to examine minority groups that are typically excluded
or insufficiently studied in large registries of PAH.However, this work identifies several possible future lines of investigation that could
further clarify these data. The inclusion of several consented PAH cohorts increased the
sample size, which was needed, but also introduced phenotypic heterogeneity. For
example, the PAH Biobank only included idiopathic and heritable PAH, whereas the
Allegheny Health Network, Arizona, and Stanford cohorts included all forms of PAH. The
years in which the studies were conducted, the duration of follow-up, the relationship
between diagnosis and enrollment, and other factors varied among the cohorts.
Furthermore, researchers establishing cohorts derived from tertiary clinical care
centers may inadvertently select a certain type of subject (for example, those who are
particularly ill), excluding subjects from a given category. It is hoped that a large
cohort study that can provide more phenotypic homogeneity, as well as a more in-depth
degree of functional (e.g., imaging studies of right ventricular function and changes
over time) and multi-“omic” assessments, will emerge to explore race,
ethnicity, and ancestry in more detail. Also, although the National Inpatient Sample
database is a useful addition to such research, it has significant limitations,
including a lack of biospecimens, reliance on accurate identification of PAH from
International Classification of Diseases, Ninth Revision, Clinical
Modification and International Classification of Diseases, Tenth Revision, Clinical
Modification data, and lack of outpatient data. Finally, identification of
differences according to race/ethnicity may reflect lifestyle, options for subspecialty
care, or other choices that are irrelevant to genetic susceptibility (17).Regardless, the current study highlights the need to carefully assess differences between
and among groups stratified by self-reporting as well as according to genetic markers in
PAH. If the findings are replicated, the next steps would involve careful determinations
of why differences in clinical outcomes exist and how they may be corrected. The
solutions may be complicated and vary depending on the cause—ethnic and ancestral
differences have very different underlying causes and thus would require different
approaches for alteration. However, understanding subpopulation and, ultimately,
individual genetic compositions will be crucial for the next generation of cohort
studies, clinical trials, and therapies for PAH.
Authors: Nicole B Gabler; Benjamin French; Brian L Strom; Ziyue Liu; Harold I Palevsky; Darren B Taichman; Steven M Kawut; Scott D Halpern Journal: Chest Date: 2011-09-22 Impact factor: 9.410
Authors: Jason H Karnes; Howard W Wiener; Tae-Hwi Schwantes-An; Balaji Natarajan; Andrew J Sweatt; Abhishek Chaturvedi; Amit Arora; Ken Batai; Vineet Nair; Heidi E Steiner; Jason B Giles; Jeffrey Yu; Maryam Hosseini; Michael W Pauciulo; Katie A Lutz; Anna W Coleman; Jeremy Feldman; Rebecca Vanderpool; Haiyang Tang; Joe G N Garcia; Jason X-J Yuan; Rick Kittles; Vinicio de Jesus Perez; Roham T Zamanian; Franz Rischard; Hemant K Tiwari; William C Nichols; Raymond L Benza; Ankit A Desai Journal: Am J Respir Crit Care Med Date: 2020-06-01 Impact factor: 21.405
Authors: K B Lane; R D Machado; M W Pauciulo; J R Thomson; J A Phillips; J E Loyd; W C Nichols; R C Trembath Journal: Nat Genet Date: 2000-09 Impact factor: 38.330
Authors: Adaani E Frost; David B Badesch; Robyn J Barst; Raymond L Benza; C Gregory Elliott; Harrison W Farber; Abby Krichman; Theodore G Liou; Gary E Raskob; Prieya Wason; Kathleen Feldkircher; Michelle Turner; Michael D McGoon Journal: Chest Date: 2010-06-17 Impact factor: 9.410
Authors: Nicholas W Morrell; Micheala A Aldred; Wendy K Chung; C Gregory Elliott; William C Nichols; Florent Soubrier; Richard C Trembath; James E Loyd Journal: Eur Respir J Date: 2019-01-24 Impact factor: 16.671