Abstract
Introduction:
The APOEε4 allele is the single strongest genetic risk for late-onset Alzheimer’s disease (AD). Prior work demonstrates that not only the APOEε4 allele varies by race/ethnicity but also the risk for AD and cognitive impairment conveyed by the APOEε4 allele varies by the racial/ethnic group as well as genetic ancestry. Here, we sought to examine the link between the APOEε4 and neuropsychological functioning among Mexican Americans (MAs).
Methods:
Data were examined from 1,633 (852 MAs and 781 non-Hispanic Whites [NHWs]) participants of the Health & Aging Brain Study – Health Disparities (HABS-HD) and were enrolled with all requisite data to be included into the current analyses.
Results:
The frequency of both ε4 and ε2 alleles was significantly lower among MAs as compared to NHWs. Among MAs, APOEε4 allele presence was associated specifically with poorer immediate and delayed memory (Wechsler Memory Scale – Third Edition [WMS-III] Logical Memory and Spanish-English Verbal Learning Test [SEVLT]). Among NHWs, APOEε4 allele presence was associated with poorer immediate and delayed memory as well as worse executive functioning (Trials B) and verbal fluency (Animal naming).
Discussion/Conclusion:
The APOEε4 allele was associated with poorer cognition across multiple domains among NHWs; however, allele presence was specifically associated with poorer memory performance among MAs. When combined with prior work, the current findings demonstrate that the risk factors associated with cognitive dysfunction differ among MAs as compared to NHWs and require additional investigation.
Keywords: Alzheimer’s disease, Mexican American, APOE4, Cognition, Health disparities
Introduction
Alzheimer’s disease (AD) is the most common neurodegenerative cause of dementia, which disproportionately impacts African Americans and Hispanics [1]. Despite the fact that Hispanics (65% of which are Mexican American [MA] [2]) will experience the greatest increase in AD and AD-related dementias by 2060 [1], this group remains underrepresented in AD research [3]. For example, 83% of the current participants in the National Institute of Aging (NIA) Alzheimer’s Disease Centers database [4] and 90% of the Alzheimer’s Disease Neuroimaging Initiative database are non-Hispanic White (NHW) [5]. However, our team has shown that MAs experience cognitive loss at significantly younger ages than NHWs and are often diagnosed at more advance stages of AD [6, 7]. To date, the underlying factors contributing to these health disparities remains limited. If effective, novel treatments are to be developed for AD among diverse populations, and this gap must be understood.
The APOEε4 allele is the single strongest genetic risk factor for late-onset AD. Corbo and Schacchi demonstrated in 1999 that APOEε4 frequencies vary substantially across the globe [8]. In our prior work, we have shown that the frequency of the APOEε4 allele is lower among MAs as compared to NHWs [9, 10]. This finding was independently reported by Campos et al. [11]. Gonzalez et al. [12] subsequently demonstrated that APOEε4 frequency was lower among MAs as compared to Dominicans, Central Americans, Cubans, and Puerto Ricans in the SOL/INCA study. However, fewer studies have explicitly examined the link between APOEε4 and neuropsychological functioning among Hispanic populations. In the HCHS/SOL study, the effect of APOEε4 allele on cognitive decline varied across six Latino backgrounds [13]. When examining the link between APOEε4 allele and cognitive test performance among older Hispanics residing in New Mexico, Romero and colleagues found no cross-sectional association; however, APOEε4 carriers demonstrated increased time on color Trails A and decreased total recall on the Fuld Object-Memory test over a 3-year period [14]. Here, we examined the link between APOEε4 allele presence and baseline neuropsychological test scores among MAs and NHWs of the community-based, multiethnic Health & Aging Brain Study – Health Disparities (HABS-HD) cohort [6, 15–17].
Methods
Participants and Assessment
The HABS-HD (formally the Health & Aging Brain study among Latino Elders, HABLE study) study is an ongoing, longitudinal, community-based project examining health disparities in mild cognitive impairment (MCI) and AD among Hispanic, MAs as compared to NHWs [6, 15–17] with recent expansion to enroll African Americans. HABS-HD methods have been published elsewhere [6] and are briefly outlined below. The data included in this study encompass MA and NHW participants since the recruitment of the African-American participants is ongoing. Inclusion criteria for the study includes (1) self-reported race/ethnicity of African-American, MA, or NHW, (2) willingness to provide blood samples, (3) capable of undergoing neuroimaging studies, (4) age of 50 years and above, and (5) fluent in English or Spanish. Exclusion criteria includes (1) type 1 diabetes, (2) the presence of active infection, (3) current/recent (12 month) cancer (other than skin cancer), (4) current severe mental illness that could impact cognition (other than depression), (5) recent (12 months) traumatic brain injury with loss of consciousness, (6) current/recent alcohol/substance abuse, (7) active severe medical condition that could impact cognition (e.g., end-stage renal failure, chronic heart failure, and chronic obstructive pulmonary disease), and (8) current diagnosis of dementia other than AD.
Participant recruitment for HABS-HD includes a community-based participatory research approach [18]. The community-based participatory research approach has been used successful as a recruitment modality for reaching underserved and minority populations. It involves collaborating with local communities through outreach (holding community events and seminars), word of mouth, marketing modalities (newspaper, television, and radio), and providing back information (clinical lab work, MRI clinical reads, and neuropsychological test results) to the participants and their health care providers. The HABS-HD protocol includes an interview, functional exam, blood draw for clinical labs and biobanking, neuropsychological testing, and 3T MRI of the brain. Amyloid and tau PET scans are ongoing for the full cohort. All aspects of the study protocol can be conducted in Spanish or English. The data are available to the scientific community through the UNTHSC Institute for Translational Research (ITR) website [19].
Interview and Neuropsychological Assessment
The HABS-HD protocol, includes a clinical interview and neuropsychological testing with the following battery: Mini-Mental State Exam (MMSE) [20], Wechsler Memory Scale – Third Edition (WMS-III) Digit Span (DS) and Logical Memory [21], Digit Symbol Substitution, Trail Making Test Parts A and B [22], Spanish-English Verbal Learning Test (SEVLT) [23], Animal Naming (semantic fluency) [23], FAS (phonemic fluency) [24] as well as the American National Adult Reading Test (English speakers) [25] and Word Accentuation Test (Spanish speakers) [26]. An informant interview by clinicians with expertise in dementia to evaluate for functional declines conducted for completion of the Clinical Dementia Rating (CDR) Scale [27].
APOE genotyping was performed using commercially available TaqMan Genotyping Kits for rs429158 and rs7412 using the TaqMan GTXpress Master Mix (Thermo Fisher). Target amplification and detection was performed using the 7500 Real-Time PCR System (Applied Biosystems). Genotypes were called according to combined of allele amplification results at the two SNPs as follows (rs429358 and rs7412): ε2/ε2: T,T; ε2/ε3: T,CT; ε2/ε4: CT,CT; ε3/ε3: T/C; ε3/ε4: CT,C; and ε4/ε4: C,C. Positive controls (individuals of known, independently typed APOE genotypes) and negative controls were included on all runs. APOE genotypes frequencies were confirmed to be in the Hardy-Weinberg equilibrium.
Diagnostic Classification
Cognitive diagnoses were assigned algorithmically (decision tree) and verified at consensus review as follows: normal control = no cognitive complaints, CDR sum of boxes score of 0, and cognitive tests scores broadly within normal limits (i.e., performance greater than that defined as meeting diagnostic criteria for MCI [i.e., ≤1.5 standard deviations below the normative range]); MCI: cognitive complaint (self or other), CDR sum of boxes score between 0.5 and 2.0, and at least one cognitive test score falling ≤1.5 standard deviation below normative ranges; dementia: CDR sum of boxes score ≥2.5 and at least 2 cognitive test scores 2 standard deviation below normative ranges.
Statistical Analyses
Statistical Analyses were conducted in SPSS 25 (IBM). Linear regression models were run with age, education, gender, and APOEε4 (presence vs. absence) as predictor variables and raw neuropsychological test scores as the outcome variable. Analyses were conducted using the entire cohort and then split by ethnicity. Statistical significance was set at p < 0.05.
Results
As of November 2021, a total of 1,633 participants were enrolled with all requisite data to be included into the current analyses (852 MAs and 781 NHWs). The MA group was significantly younger (p < 0.001) and obtained fewer years of formal education (p < 0.001) than NHWs. There was also a significant gender difference between groups with a higher number of females included among those who self-reported as MA (p < 0.001). In regard to neuropsychological test performance, mean differences were found between ethnic groups with MAs performing lower across all cognitive domains (p < 0.001) (see Table 1).
Table 1.
Total cohort (N = 1,614) | MA (N = 853) | NHW (N = 781) | |
---|---|---|---|
Age, mean (SD), years | 66.47 (8.76) | 63.83 (7.98) | 69.35 (8.65)** |
Range | 50–92 | 50–91 | 50–92 |
Education, mean (SD) | 12.37 (4.81) | 9.51 (4.61) | 15.50 (2.55)** |
Range | 0–20 | 0–20 | 0–20 |
Gender, % female | 61 | 66 | 54** |
WMS-III DS, mean (SD) | 13.69 (4.31) | 11.43 (1.97) | 16.15 (3.67)** |
Range | 0–29 | 0–25 | 6–29 |
Trail Making Test Part A, mean (SD) | 43.96 (25.39) | 50.79 (29.22) | 36.53 (17.65)** |
Range | 15.00–150.00 | 16.00–150.00 | 15.00–150.00 |
Trail Making Test Part B, mean (SD) | 128.59 (85.43) | 161.17 (93.45) | 93.77 (58.53)** |
Range | 25.00–300.00 | 25.00–300.00 | 25.00–300.00 |
FAS, mean (SD) | 31.84 (12.25) | 27.10 (10.99) | 37.00 (11.45)** |
Range | 0–68 | 0–65 | 2–68 |
Animals, mean (SD) | 17.48 (5.17) | 16.27 (4.79) | 18.81 (5.24)** |
Range | 0–37 | 0–33 | 0–37 |
WMS-III LM1, mean (SD) | 35.23 (12.02) | 30.74 (10.65) | 40.11 (11.52)** |
Range | 0–69 | 0–58 | 0–69 |
WMS-III LM2, mean (SD) | 21.29 (8.99) | 18.48 (8.10) | 24.33 (8.92)** |
Range | 0–44 | 0–41 | 0–44 |
SEVLT 1–5 total, mean (SD) | 30.74 (9.08) | 28.91 (8.32) | 32.73 (9.44)** |
Range | 0–53 | 0–53 | 3–53 |
SEVLT delayed recall, mean (SD) | 7.61 (3.46) | 6.96 (3.30) | 8.30 (3.48)** |
Range | 0–15 | 0–15 | 0–15 |
WMS, Wechsler Memory Scale; SEVLT, Spanish-English Verbal Learning Test. * p < 0.05.
p < 0.001.
APOE allele frequency groups are presented in Table 2. In the full cohort, ε2 allele frequency was 11.1%, whereas ε4 frequency was 24.1%. However, MAs had lower frequency of both ε2 (χ2 = 28.41, p < 0.001) and ε4 (χ2 = 31.59, p < 0.001) alleles when compared to NHWs. ε2 allele frequency was 6.6% among MAs as compared to 15.9% among NHWs, and ε4 frequency was 18.4% among MAs as compared to 30.3% among NHWs. Additional breakdown was as follows: ε2/ε2 MA 0.1% versus NHW 0.3%; ε2/ε3 MA 5.7% versus NHW 13.2%; ε2/ε4 MA 0.8% versus NHW 2.4%; ε3/ε4 MA 15.9% versus NHW 25.7%; and ε4/ε4 MA 1.6% versus NHW 2.2%.
Table 2.
Genotype frequencies, % | ||||||
---|---|---|---|---|---|---|
ε2/ε2 | ε2/ε3 | ε2/ε4 | ε3/ε3 | ε3/ε4 | ε4/ε4 | |
Total cohort | 0.2 | 9.3 | 1.6 | 66.4 | 20.6 | 1.9 |
MA | 0.1 | 5.7 | 0.8 | 75.7 | 15.9 | 1.6 |
NHW | 0.3 | 13.2 | 2.4 | 56.3 | 25.7 | 2.2 |
In the full cohort, APOEε4 allele presence was associated with significantly poorer neuropsychological test performance in the domains of immediate memory (WMS-III Logical Memory I (LM1), t = −3.29, p < 0.001; SEVLT Trials 1–5 Total, t = −3.38, p < 0.001), delayed memory (WMS-III Logical Memory II (LM2), t = −3.73, p < 0.001; SEVLT 30 min delayed recall, t = −3.49, p < 0.001), and verbal fluency (Animal Naming, t = −2.18, p = 0.03) (see Table 3).
Table 3.
Total cohort | MA | NHW | |
---|---|---|---|
WMS-III LM1 | t = −3.29, p < 0.001 | t = −3.44, p < 0.001 | t = −2.63, p = 0.009 |
WMS-III LM2 | t = −3.73, p < 0.001 | t = −2.91, p = 0.004 | t = −3.34, p < 0.001 |
SEVLT 1–5 | t = −3.38, p < 0.001 | t = −2.29, p = 0.02 | t = −3.20, p = 0.001 |
SEVLT Delayed | t = −3.49, p < 0.001 | t = −2.40, p = 0.02 | t = −3.19, p = 0.001 |
Trials A | t = 1.65, p = 0.10 | t = 1.15, p > 0.05 | t = 1.76, p = 0.08 |
Trails B | t = 1.53, p > 0.05 | t = 0.40, p > 0.05 | t = 3.07, p = 0.002 |
WMS-III DS | t = −0.57, p > 0.05 | t = −0.52, p > 0.05 | t = −2.06, p = 0.04 |
FAS | t = −0.16, p > 0.05 | t = −0.64, p > 0.05 | t = −0.38, p > 0.05 |
Animals | t = −2.18, p = 0.03 | t = −0.95, p > 0.05 | t = −2.41, p = 0.02 |
WMS-III LM1, Wechsler Memory Scale 3rd Edition Logical Memory I (immediate memory); WMW-III LM2, Wechsler Memory Scale 3rd Edition Logical Memory II (delayed recall); SEVLT, Spanish-English Verbal Learning Test; DS, Digit Span.
Among MAs, APOEε4 presence was significantly associated only with immediate (WMS-III LM1, t = −3.44, p < 0.001; SEVLT Trials 1–5, t = −2.29, p = 0.004) and delayed memory (WMS-III LM2, t = −2.91, p = 0.004; SEVLT delayed recall t = −2.40, p = 0.02). Among NHWs, APOEε4 allele presence was significantly associated with immediate (WMS-III LM1, t = −2.63, p = 0.009; SEVLT Trials 1–5, t = −3.34, p < 0.001) and delayed memory (WMS-III LM2, t = −3.34, p < 0.001; SEVLT delayed recall, t = −3.19, p = 0.001), executive functioning (Trails B, t = 3.07, p = 0.002; WMS-III DS, t = −2.06, p = 0.04 and trend toward significance on Trails A, t = 1.76, p = 0.08), and language (Animal Naming, t = −2.41, p = 0.02) (see Table 3).
Discussion
The current findings demonstrate that not only is the APOEε4 allele frequency lower among MAs but also the link between the APOEε4 allele and neuropsychological test performance also varies. Specifically, APOEε4 presence is associated with poorer immediate and delayed memory among MAs only; however, among NHWs, APOEε4 allele presence is associated with poorer immediate and delayed memory as well as poorer executive functioning and language scores.
Prior work has shown that the impact conveyed on risk for AD by APOEε4 allele presence varies by the racial/ethnic group. In a study of 1,079 Medicare recipients, Tang et al. [28] found that (1) the APOEε4 frequency was lower among AAs and Hispanics as compared to NHWs and (2) APOEε4 was a risk factor for AD only among NHWs. Farrer et al. [29] conducted a meta-analysis and found APOEε4 increased risk for AD among NHWs, but the association was lower among both Hispanics and AAs. Morris et al. [30] found that presence of APOEε4 was associated with lower levels of CSF t-tau and ptau181 among AAs; however, AAs without APOEε4 did not demonstrate differences in these markers from NHWs. Rajabli et al. [31] found that APOEε4 presence conveyed lower risk for AD among African genetic background as compared to European ancestral background regardless of the population. More recently, Griswold et al. [32] found individuals with European local ancestry expressed significantly higher brain APOE levels than those with African local genomic ancestry.
Few studies however have explicitly examined the link between APOEε4 allele frequency and detailed neuropsychological functioning among Hispanic populations. Romero and colleagues examined the link between the APOEε4 allele and cognitive test performance at baseline and after the 3-year follow-up among 105 community-dwelling Hispanic adults aged 60 years and older residing in New Mexico [14]. In that study, there was no cross-sectional link between APOEε4 allele and cognitive test scores; however, after the 3-year follow-up, the APOEε4 allele was associated with increased time to complete color Trails A (i.e., poorer performance) as well as decreased total recall on the Fuld Object Memory test. In the Study of Latinos (HCHS/SOL), Granot-Hershkovitz et al. [13] examined data among 4,183 participants stratified by Latino background. In this study, APOEε4 allele presence was associated with significant cognitive decline, which was strongest among Cubans, whereas the APOEε2 allele was associated with reduced risk for MCI among Puerto Ricans. Amerindian genetic ancestry was found to protect from risk conferred by APOEε4 on significant cognitive decline [13]. Therefore, the current findings expand on the extant literature, demonstrating a memory-specific cross-sectional impact of the APOEε4 allele among MAs.
There are limitations to the current study. First, the current study reflects cross-sectional analyses; however, longitudinal assessments in the HABS-HD study are ongoing, and future work will examine the impact of APOEε4 on neuropsychological test performance over time. Second, genetic ancestry is not considered in the current analyses; however, GWAS was recently completed in this cohort, and therefore, future work will determine the impact of Amerindian and European ancestry on the impact of the APOEε4 allele on neuropsychological test performance. Prior work has shown a protective effect of the APOEε2 allele; however, this allele is also of lower frequency among MAs. Ongoing work is specifically examining if the APOEε2 allele conveys a protective effect in this cohort. Finally, the current study only examines data from MAs and NHWs; however, HABS-HD is currently enrolling 1,000 African Americans, and future work will examine this work across the three largest racial/ethnic groups in the USA. Future work will also examine the impact of APOEε4 on amyloid, tau, and neurodegeneration neuroimaging markers across all three racial/ethnic groups. Overall, the current findings extend upon the existing literature by documenting a memory-specific impact of APOEε4 among MAs.
Acknowledgments
HABS-HD study team: MPIs: Sid E O’Bryant, Kristine Yaffe, Arthur W. Toga, Robert A. Rissman, and Leigh A. Johnson and the HABS-HD investigators: Meredith Braskie, Kevin King, Matthew Borzage, James R Hall, Melissa Petersen, Raymond Palmer, Robert Barber, Yonggang Shi, Fan Zhang, Rajesh Nandy, Roderick McColl, David Mason, Bradley Christian, Nicole Philips, and Stephanie Large.
Funding Sources
Research reported here was supported by the National Institute on Aging of the National Institutes of Health under Award Numbers R01AG054073 and R01AG058533. This work was also supported in part by NIH/NIBIB award P41-EB015992. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health. The research team also thanks the local Fort Worth community and the participants of the HABS-HD study.
Footnotes
Statement of Ethics
This study protocol was reviewed and approved by the UNTHSC IRB protocols UNTHSC 2016–128 and 2020–125. Each participant (or his/her legal representative) signed written informed consent to participate in the study.
Conflict of Interest Statement
SEO has multiple patents on precision medicine for neurodegenerative diseases and is the founding scientist of Cx Precision Medicine. No other authors reported any potential conflicts of interest.
Data Availability Statement
The data are available to the scientific community through the UNTHSC ITR website [19].
References
- 1.Matthews KA, Xu W, Gaglioti AH, Holt JB, Croft JB, Mack D, et al. Racial and ethnic estimates of Alzheimer’s disease and related dementias in the United States (2015–2060) in adults aged ≥65 years. Alzheimers Dement. 2019;15(1):17–24. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.U.S. Census Bureau. U.S. census bureau QuickFacts: UNITED STATES. Quick facts 2020:2019–21. Available from: https://www.census.gov/quickfacts/fact/table/US/PST045219 Accessed 2020 Dec 7.
- 3.Babulal GM, Quiroz YT, Albensi BC, Arenaza-Urquijo E, Astell AJ, Babiloni C, et al. Perspectives on ethnic and racial disparities in Alzheimer’s disease and related dementias: Update and areas of immediate need. Alzheimers Dement. 2019;15:292–312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.NACC. NACC researcher home page, NACC, Alzheimer’s disease research, FTLD, NIA/NIH, database, neuropathology. Available from: https://www.alz.washington.edu/. Accessed 2020 Dec 7.
- 5.Petersen RC, Aisen PS, Beckett LA, Donohue MC, Gamst AC, Harvey DJ, et al. Alzheimer’s disease neuroimaging initiative (ADNI): clinical characterization. Neurology. 2010;74: 201–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 6.O’Bryant SE, Johnson LA, Barber R, Braskie MN, Christian B, Hall JR, et al. The Health and Aging Brain among Latino Elders (HABLE) Study Methods and participant characteristics. Alzheimers Dement. 2021; 13(1):e12202. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.O’Bryant SE, Johnson L, Reisch J, Edwards M, Hall J, Barber R, et al. Risk factors for mild cognitive impairment among Mexican Americans. Alzheimers Dement. 2013;9:622–31.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Corbo RM, Scacchi R. Apolipoprotein E (APOE) allele distribution in the world. Is APOE*4 a “thrifty” allele? Ann Hum Genet. 1999;63:301–10. [DOI] [PubMed] [Google Scholar]
- 9.O’Bryant SE, Johnson L, Reisch J, Edwards M, Hall J, Barber R, et al. Risk factors for mild cognitive impairment among Mexican Americans. Alzheimers Dement. 2013;9:622–31.e1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.O’Bryant SE, Johnson L, Balldin V, Edwards M, Barber R, Williams B, et al. Characterization of Mexican Americans with mild cognitive impairment and Alzheimer’s disease. J AlzheimersDis. 2013;33:373–9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Campos M, Edland SD, Peavy GM. Exploratory study of apolipoprotein e ε4 genotype and risk of Alzheimer’s disease in Mexican Hispanics. J Am Geriatr Soc. 2013;61(6): 1038–4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.González HM, Tarraf W, Schneiderman N, Fornage M, Vásquez PM, Zeng D, et al. Prevalence and correlates of mild cognitive impairment among diverse Hispanics/Latinos: Study of Latinos-Investigation of Neurocognitive Aging results. Alzheimers Dement. 2019;15:1507–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Granot-Hershkovitz E, Tarraf W, Kurniansyah N, Daviglus M, Isasi CR, Kaplan R, et al. APOE alleles’ association with cognitive function differs across Hispanic/Latino groups and genetic ancestry in the Study of Latinos-Investigation of Neurocognitive Aging (HCHS/SOL). Alzheimers Dement. 2021;17: 466–74. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Romero LJ, Schuyler M, Kamboh MI, Qualls C, LaRue A, Liang HC, et al. The APO E4 allele and cognition in New Mexico Hispanic elderly. Ethn Dis. 2002;12:235–41. [PubMed] [Google Scholar]
- 15.O’Bryant SE, Zhang F, Petersen M, Hall JR, Johnson LA, Yaffe K, et al. A blood screening tool for detecting mild cognitive impairment and Alzheimer’s disease among community-dwelling Mexican Americans and non-Hispanic Whites: a method for increasing representation of diverse populations in clinical research. Alzheimers Dement. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hall J, Johnson LA, Zhang F, Petersen M, Toga AW, Shi Y, et al. Using fractional anisotropy imaging to detect MCI and AD among Mexican Americans and non-Hispanic Whites: a HABLE Study. Dement Geriatr Cogn Disord. 2021;50(3):266–273. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.O’Bryant SE, Petersen M, Hall JR, Johnson LA, Yafe K, Braskie M, et al. Characterizing plasma NfL among a community-dwelling multi-ethnic cohort: results from the HABLE Study. Alzheimers Dement. Epub ahead of print. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Marin G, Sabogal F, Marin BV, Otero-Sabogal R, Perez-Stable EJ. Development of a short acculturation scale for Hispanics. Hisp J Behav Sci. 1987;9(2):183–205. [Google Scholar]
- 19.Institute for translational research. Available from: https://apps.unthsc.edu/itr/. Accessed 2020 Dec 19.
- 20.Weschler D Weschler memory scale: revised. San Antonio: Psychological Corporation; 1987. [Google Scholar]
- 21.Reitan RM, Wolfson D. The halstead-reitan neuropsychological test battery: theory and interpretation. Tucson, AZ: Neuropsychology Press; 1985. [Google Scholar]
- 22.González HM, Mungas D, Haan MN. A verbal learning and memory test for English- and Spanish-speaking older Mexican-American adults. Clin Neuropsychol. 2002;16(4):439–51. [DOI] [PubMed] [Google Scholar]
- 23.Lezak MD, Howieson DB, Loring DW. Neuropsychological assessment. 4th ed. Oxford: Oxford University Press; 2004. [Google Scholar]
- 24.O’Bryant SE, Edwards M, Johnson L, Hall J, Gamboa A, O’jile J. Texas Mexican American Adult Normative Studies: normative data for commonly used clinical neuropsychological measures for English- and Spanish-speakers. Dev Neuropsychol. 2018;43(1):1–26. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Sierra Sanjurjo N, Montañes P, Sierra Matamoros FA, Burin D. Estimating intelligence in Spanish: regression equations with the word accentuation test and demographic variables in Latin America. Appl Neuropsychol Adult. 2015;22(4):252–61. [DOI] [PubMed] [Google Scholar]
- 26.Berg L Clinical dementia rating (CDR). Psychopharmacol Bull. 1988;24(4):637–9. [PubMed] [Google Scholar]
- 27.Jack CR Jr., Bennett DA, Blennow K, Carrillo MC, Dunn B, Haeberlein SB, et al. NIA-AA Research Framework: toward a biological definition of Alzheimer’s disease. Alzheimers Dement. 2018;14:535–62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Tang MX, Stern Y, Marder K, Bell K, Gurland B, Lantigua R, et al. The APOE-ε4 allele and the risk of Alzheimer disease among African Americans, whites, and Hispanics. JAMA. 1998;279:751–5. [DOI] [PubMed] [Google Scholar]
- 29.Farrer LA, Cupples LA, Haines JL, Hyman B, Kukull WA, Mayeux R, et al. Effects of age, sex, and ethnicity on the association between apolipoprotein E genotype and Alzheimer disease. A meta-analysis. APOE and Alzheimer disease meta analysis consortium. JAMA. 1997;278:1349–56. [PubMed] [Google Scholar]
- 30.Morris JC, Schindler SE, McCue LM, Moulder KL, Benzinger TLS, Cruchaga C, et al. Assessment of racial disparities in biomarkers for Alzheimer disease. JAMA Neurol. 2019; 76:264–73. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Rajabli F, Feliciano BE, Celis K, Hamilton-Nelson KL, Whitehead PL, Adams LD, et al. Ancestral origin of ApoE ε4 Alzheimer disease risk in Puerto Rican and African American populations. PLoS Genet. 2018;14(12): e1007791. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Griswold AJ, Celis K, Bussies PL, Rajabli F, Whitehead PL, Hamilton-Nelson KL, et al. Increased APOE ε4 expression is associated with the difference in Alzheimer’s disease risk from diverse ancestral backgrounds. Alzheimers Dement. 2021;17:1179–88. [DOI] [PMC free article] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The data are available to the scientific community through the UNTHSC ITR website [19].