Shown are violin plots of standard score performances of children with the variant (in orange) and without the variant (in blue) on WISC-IV by biological sex. Thick middle lines of internal box plots indicate median values; tops and bottoms of boxes, interquartile range; whiskers, variability in scores outside of the interquartile values; black circles, statistical outliers; width of violin plot at any point, probability of values from the represented sample being at that value, with wider sections representing higher frequencies of values at that point in the distribution; WISC-IV, Wechsler Intelligence Scale for Children, Fourth Edition. Clinically, standard scores have a mean (SD) of 100 (15).
eTable 1. Descriptive Statistics of 457 Children With a Parent With Variant
eTable 2. Descriptive Statistics of 1354 Children in Full Sample by Sex
eTable 3. Descriptive Statistics of 457 Children With a Parent With Variant by Sex
eTable 4. Performance on Wechsler Intelligence Scale for Children, Fourth Edition Indices by Sex in Full Sample
eTable 5. Performance on Wechsler Intelligence Scale for Children, Fourth Edition Indices by Sex When a Parent Has Variant
eTable 6. Performance on Wechsler Intelligence Scale for Children, Fourth Edition Indices by Sex and Genetic Status When a Parent Has Variant
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Fox-Fuller JT, Artola A, Chen K, et al. Sex Differences in Cognitive Abilities Among Children With the Autosomal Dominant Alzheimer Disease Presenilin 1 E280A Variant From a Colombian Cohort. JAMA Netw Open. 2021;4(8):e2121697. doi:10.1001/jamanetworkopen.2021.21697
Do children from the Colombian kindred with autosomal dominant Alzheimer disease (ADAD) differ in general cognitive functioning based on sex or genetic status?
In this cohort study of 1354 Colombian children (including 265 children with the presenilin 1 E280A variant), those with and without the variant did not differ on cognitive abilities. However, boys with the variant exhibited statistically significantly worse working memory performance compared with girls with the variant, as well as boys and girls without the variant.
This study found that boys with the ADAD variant had increased risk of worse cognitive performance compared with girls with and without the variant, as well as boys without the variant.
We previously reported that children with the autosomal dominant Alzheimer disease (ADAD) presenilin 1 (PSEN1) E280A variant had early life plasma biomarker findings consistent with amyloid β overproduction. However, the cognitive functioning of children with this variant has not been characterized vs those without the variant.
To test whether cognitive functioning of children with and without the PSEN1 E280A variant in the same ADAD cohort differed by genetic status (ie, PSEN1 variant) and sex.
Design, Setting, and Participants
This cohort study was conducted among 1354 children (including 265 children with the variant) aged 6 to 16 years recruited from the Alzheimer Prevention Initiative Colombia Registry. Participants from the city of Medellín and surrounding suburban areas traveled to the University of Antioquia to undergo all procedures. Participants were administered a Spanish version of the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV) to measure general cognitive functioning. Data were analyzed from July through November 2020.
Main Outcomes and Measures
Univariate general linear models were used to characterize differences on WISC-IV cognitive performance by genetic status, sex, and the interaction of genetic status with sex. Urbanity, socioeconomic status, and education were entered as covariates.
Among 1354 children with ADAD (695 [51.3%] girls; mean [SD] age, 11.64 [2.64] years), there were 265 children with the variant (19.6%) and 1089 children without the variant (80.4%). Children with and without the variant did not differ by demographic variables or performance on WISC-IV indices. Irrespective of genetic status, boys had statistically significantly decreased mean scores on indices for working memory (90.27 [95% CI, 89.21-91.34] vs 92.99 [95% CI, 91.98-93.99]; mean difference = −2.72; P < .001), perceptual reasoning (91.56 [95% CI, 90.47-92.65] vs. 93.27 [95% CI, 91.23-94.30]; mean difference = −1.71; P = .03), and verbal comprehension (88.69 [95% CI, 87.54-89.84] vs. 90.81 [95% CI, 89.73-91.90]; mean difference = −2.12; P = .009) compared with girls. In the interaction between sex and genetic status, boys with the variant had worse mean working memory index performance (88.78 [95% CI, 86.86-90.70]) than girls with the variant (93.75 [95% CI, 91.95-95.55]; mean difference = −4.97; P = .001), as well as boys (91.77 [95% CI, 90.85-92.70]; mean difference = −2.99; P = .04) and girls (92.22 [95% CI, 91.32-93.13]; mean difference = −3.44; P = .009) without the variant.
Conclusions and Relevance
This study found that boys with the PSEN1 variant had decreased working memory abilities compared with girls with the variant and boys and girls without the variant, suggesting a sex-specific genetic risk in early life cognitive performance among individuals with the PSEN1 variant. This increased risk of future cognitive difficulties among boys with the variant may have important downstream implications for learning and academic achievement and could be associated with sex differences seen in adulthood on episodic memory measures.
Individuals with autosomal dominant Alzheimer Disease (ADAD) variants develop early onset Alzheimer disease (AD) with nearly 100% penetrance, providing a unique opportunity to characterize the earliest biological and cognitive changes associated with the disease.1 Biomarker investigations of families with ADAD variants have revealed AD-related brain changes prior to the onset of clinical symptoms.2 We previously reported that children with the presenilin 1 (PSEN1) E280A ADAD variant, compared with child-aged family members without this variant, exhibited plasma biomarker levels consistent with early life amyloid β overproduction, as well as increased gray matter volume in temporal regions and decreased functional magnetic resonance imaging deactivation of posterior parietal regions during a memory encoding task.3 These AD-related biomarker differences were seen approximately 3 decades before the median age of onset of mild cognitive impairment (MCI) in individuals with the PSEN1 E280A variant.2 We also recently reported that women with the PSEN1 E280A variant who were not cognitively impaired had better verbal episodic memory performance compared with men with the variant who were not impaired,4 consistent with research that has found greater performance on verbal memory tests among healthy older women compared with healthy older men5 (although women with MCI or dementia may have more precipitous cognitive decline compared with men with cognitive impairment6). To our knowledge, however, no study has investigated the cognitive performance of children with ADAD variants compared with those without variants, nor the possible sex differences in cognitive performance in childhood in this population.
In this study, we used a neuropsychological measure, a Spanish version of the Wechsler Intelligence Scale for Children, Fourth Edition (WISC-IV),7,8 to assess cognitive functioning among children with the PSEN1 E280A variant and age-matched family members without the variant from the Colombian ADAD kindred. The literature on sex differences in cognition among children without developmental disorders is variable, with boys and girls showing distinct patterns of working memory strengths.9 However, previous research on the cognitive functioning of adult members from this PSEN1 kindred1,10 and findings from the literature about cognitive performance in children with the apolipoprotein ε4 (APOE ε4) variant,11-13 a known genetic risk factor associated with the more common sporadic form of late-onset AD, suggest that there may be differences in cognitive performance among children from this kindred. We hypothesized that children with an ADAD variant would perform worse on tests of verbal intellectual abilities compared with children from the same family without a variant and that boys with a variant would perform worse than girls with a variant across all WISC-IV indices.4
This cohort study was conducted under guidelines approved by local institutional review boards. Ethics approval was obtained from the University of Antioquia Ethics Committee in Colombia. Parents or guardians of the participants provided written informed consent, and children assented before enrollment in the study and completion of the procedures. All data were acquired by investigators who were masked to the participants’ genetic status. This study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guideline.
A total of 1499 children were recruited from the Alzheimer Prevention Initiative Colombia Registry, which currently includes more than 6000 living members of the PSEN1 E280A kindred, approximately 1200 of whom have the variant.1 Individuals with this variant have a median age of onset of 44 years (95% CI, 43 years-45 years) for MCI and 49 years (95% CI, 49 years-50 years) for dementia.2 Given that PSEN1 E280A is an autosomal dominant variant, all children with the variant were heterozygous for PSEN1 E280A and had a biological parent who also had the variant.1 A blood sample was taken to confirm genetic status.
All children in the recruited sample lived within a 100-mile radius of Medellín, Colombia. Participants were asked to identity their sex assigned at birth, using a binary definition of sex (ie, male or female). Potential participants were screened and excluded in advance for the presence of neurological disorders (eg, developmental disabilities, learning disorders, history of traumatic brain injury, and epilepsy) and chronic psychiatric disorders (eg, history of psychiatric hospitalizations, schizophrenia, and substance abuse disorders).
Participants were administered a Spanish version of the WISC-IV, a measure of cognitive functioning in children.7,8 Of 1499 children in the database, 145 participants with a Full Scale Intelligence Quotient (FSIQ) score lower than 70 on the WISC-IV (including 16 children with the variant) were excluded from the study, given that an FSIQ less than 70 is suggestive of an intellectual disability.8 We included 1354 children in the analysis, including 265 individuals (19.6%) with the PSEN1 E280A variant.
Participants in this study were aged 6 to 16 years (estimated years until onset of MCI [EYO], −38 to −28 years) and belonged to the same extended families who descended from a shared ancestor with the PSEN1 E280A variant. There were 457 participants (including all 265 children with the variant) who had a biological parent with the variant, whereas 897 children without the variant had an extended nonparent relative with the variant (eg, an uncle or aunt or a grandparent). The 192 children without the variant who had a biological parent with the variant were considered in a post hoc subsample analysis. This was done to determine if performance comparisons on the WISC-IV differed when comparing children with the variant against individuals without the variant who had a parent with the variant vs when comparing against the entire larger sample of children without the variant.
Data were acquired at the University of Antioquia in Medellín, Colombia. Cognitive tests were administered in Spanish by psychologists trained in neuropsychological assessment (DR and NL). The WISC-IV is a neuropsychological assessment commonly used to measure cognitive abilities in children aged 6 to 16 years.8 The WISC-IV has 15 subtests, although the first 10 subtests are considered the core subtests and yield an FSIQ and the scores on the following 4 indices: verbal comprehension index (VCI), perceptual reasoning index (PRI), working memory index (WMI), and processing speed index (PSI).8 The VCI consists of 3 subtests: vocabulary, similarities, and comprehension. The VCI is used to measure a child’s language-based intellectual abilities. The PRI measures nonverbal fluid reasoning and is assessed with the following subtests: matrix reasoning, picture concepts, and block design. The WMI evaluates attention and concentration and consists of 2 subtests: digit span and letter-number sequencing. The PSI measures the speed of mental processing14 and contains 2 timed subtests: coding and symbol search. Scores on the WISC-IV in this study were normed relative to a sample of Spanish-speaking children and adolescents from Mexico, given that the WISC-IV had not been normed in a Colombian population at the time of this report. This Spanish WISC-IV version is referred to as the Escala Wechsler de Inteligencia para Niños-IV.7,8 Raw WISC-IV data from the subtests were normed using the participant’s age and transformed into scaled scores, which have a mean (SD) of 10 (3). The WISC-IV technical manual8 explains in detail how the subtests are converted into the 4 index scores, which have a mean (SD) of 100 (15).
Potential differences in age and education between children with and without the variant (as well as between boys and girls with the variant) were examined using Welch 2 independent sample t tests. We used χ2 tests to examine potential differences between children with and without the variant in sex ratio, current living zone (ie, urban vs rural), and socioeconomic status (SES; defined in Colombia by 6 strata: lower low, low, upper low, medium, medium high, and high).
Univariate general linear models were used to characterize the association between genetic status and performance on the VCI, WMI, PRI, and PSI; these models were run on SPSS statistical software version 26 (IBM). For each dependent variable (ie, each WISC-IV index score), we examined if there were differences by genetic status (model 1), sex (model 2), and the interaction of genetic status with sex (model 3). Education, SES, and urbanity were entered as covariates in all models, and Bonferroni corrections were applied in all models. Violin plots were produced in R statistical software version 4.0.0 (R Project for Statistical Computing) using ggplot to provide a visualization of differences in WISC-IV index scores by sex and genetic status.
P values were 2-sided, and statistical significance was set at P < .05. Data were analyzed from July through November 2020.
Among 1354 children (695 [51.3%] girls; mean [SD] age, 11.64 [2.64] years), there were 265 individuals with the PSEN1 E280A variant (19.6%) and 1089 individuals without the variant (80.4%). Children with and without the variant did not differ by mean (SD) age (11.60 [2.71] years vs 11.64 [2.62] years; P = .81), mean (SD) years of education (5.35 [2.68] years vs 5.38 [2.66]; P = .89), urban living status (184 children [69.4%] vs 727 children [66.8%]; P = .41), SES (eg, low SES: 120 children [45.3%] vs 481 children [44.2%]; P = .20), or proportion by sex in each group (with variant: 124 [46.8%] boys vs 141 [53.2%] girls; without variant: 535 [49.1%] boys vs 554 [50.9%] girls; P =.50) (Table 1).
A subsample of all children with the variant and 192 children without the variant was examined to determine if performance on the WISC-IV indices differed between the groups when examining only participants who had at least 1 immediate parent with the variant. This subsample differed on urbanity, with more children with the variant living in urban areas than children without the variant, but not on other demographic variables (eTable 1 in the Supplement). Additionally, girls had statistically significantly more mean (SD) years of formal education than boys irrespective of genetic status in the full sample (5.64 [2.65] years vs 5.08 [2.66] years; P < .001) and subsample (5.76 [2.68] years vs 5.16 [2.70] years; P = .02) (eTable2 and eTable3 in the Supplement); sex differences were not statistically significant on demographic variables within genetic groups.
For the WISC-IV FSIQ, scores for all included participants were within 2 SDs of the assumed mean FSIQ value of 100. The range of included scores is 70 to 130. The overall mean FSIQ score was 87.91 (95% CI, 87.33-88.49).
There were no statistically significant differences in performance on WISC-IV indices by PSEN1 E280A status after controlling for sex, urbanity, SES, and education in the full sample. For example, the mean scores for children with the variant vs those without the variant were 90.09 (95% CI, 86.68-91.51) vs 89.41 (95% CI, 88.72-90.11) (P = .40) for the VCI and 91.26 (95% CI, 89.95-92.58) vs 92.00 (95% CI, 91.35-92.65) (P = .32) for the WMI (Table 2). Additionally, there were no statistically significant differences in the sample of participants with a parent with the variant. For example, the mean scores for children with the variant vs those without the variant in this subsample were 90.00 (95% CI, 88.52-91.48) vs 91.53 (95% CI, 89.78-93.27) (P = .19) for the VCI and 91.20 (95% CI, 89.96-92.43) vs 92.81 (95% CI, 91.34-94.27) (P = .10) for the WMI (Table 3).
Boys had statistically significantly decreased mean scores compared with girls on the WMI (90.27 [95% CI, 89.21-91.34] vs 92.99 [95% CI, 91.98-93.99]; mean difference = −2.72; P < .001), PRI (91.56 [95% CI, 90.47-92.65] vs. 93.27 [95% CI, 91.23-94.30]; mean difference = −1.71; P = .03), and VCI (88.69 [95% CI, 87.54-89.84] vs. 90.81 [95% CI, 89.73-91.90]; mean difference = −2.12; P = .009) (eTable 4 in the Supplement), irrespective of genetic status. In the sample of participants with a parent with the variant, boys had statistically significantly lower mean scores on the WMI (90.26 [95% CI, 88.92-91.60] vs. 93.75 [92.38-95.11]; mean difference = −3.49; P < .001) and PRI (91.37 [95% CI, 89.93-92.81] vs. 93.62 [92.15-95.09]; mean difference = −2.25; P = .03) (eTable 5 in the Supplement).
We found a statistically significant interaction between sex and genetic status, wherein boys with the variant in the full sample had worse mean WMI scores (88.78 [95% CI, 86.86-90.70]) than girls with the variant (93.75 [95% CI, 91.95-95.55]; mean difference = −4.97 [ie, approximately −0.33 SD difference in WISC-IV standard score]; P = .001), boys without the variant (91.77 [95% CI, 90.85-92.70]; mean difference = −2.99; P = .04), and girls without the variant (92.22 [95% CI, 91.32-93.13]; mean difference = −3.44; P = .009) (Table 4). The Figure provides visualizations of the distributions of the WISC-IV indices by sex and genetic status in the full sample. In the subsample, boys with the variant had statistically significantly worse mean WMI scores than girls with the variant (88.69 [95% CI, 86.87-90.50] vs. 93.71 [95% CI, 92.01-95.40]; mean difference = −5.02; P = .001) and girls without the variant (88.69 [95% CI, 86.87-90.50] vs. 93.79 [95% CI, 91.64-95.95]; mean difference = −5.10; P = .003) but not boys without the variant (eTable 6 in the Supplement).
In this cohort study, we used cognitive data from a large sample to examine the cognitive functioning of PSEN1 E280A ADAD in childhood. The PSEN1 E280A variant is associated with the development of the AD clinical syndrome in midlife with virtually 100% certainty.1 Compared with children without this variant, children with the variant from this kindred (aged 6-16 years) were previously found to have increased gray matter volume in temporal and parietal brain regions, as well as decreases in deactivation in the parietal regions during an episodic memory task.3 In adults with the variant from this cohort, sex differences in verbal memory performances favored women,4 warranting the study of sex differences in cognition in childhood. Our study is novel, given that it is the first report, to our knowledge, on cognitive functioning among children with an ADAD variant. The homogeneity of the clinical course of this single-variant PSEN1 E280A ADAD cohort allowed us to characterize the cognitive performance of children with the variant decades before the median age of onset of MCI for this variant (EYO −38 to −28 years for this sample).2
Contrary to our hypotheses, we found no differences in cognitive performance on the WISC-IV indices by PSEN1 E280A variant status after controlling for urbanity, SES, and education. We found no differences in the entire sample, which included children without the variant who had an extended family member (eg, an uncle or aunt or a grandparent) with the ADAD variant, as well as in a subsample that included only participants who had a biological parent who also had the PSEN1 E280A variant. When controlling for the same covariates, irrespective of genetic status, boys performed worse than girls in the full sample on the WMI, PRI, and VCI; in the subsample, boys performed worse than girls on the WMI and PRI. Additionally, we found a significant interaction between sex and genetic status in the full sample, wherein boys with the variant had worse WMI performance than girls with the variant, boys without the variant, and girls without the variant; in the subsample, boys with the variant performed worse on this index compared with girls with and without the variant. This partially supports our hypothesis that boys with the variant would exhibit weaker cognitive performance than girls with and without the variant, although we had anticipated to see significantly worse performances among boys with the variant compared with girls across all WISC-IV indices. The magnitude of the differences in WMI scores between boys with the variant and other groups was statistically significant but small from a clinical perspective. The largest difference of the adjusted means on this index between boys and girls corresponded to an approximately 5-point standard score difference (ie, an approximately −0.33 SD worse performance).
Although we found a clinically small difference, our findings are consistent with a 2020 study4 from our group that found that women with the variant had better verbal memory performance than men with the variant. In prototypical aging and sporadic AD, healthy older women have been found to have higher scores on verbal episodic memory tests compared with healthy older men.5 The literature from children without developmental impairments suggests that there may be differential brain networks recruited during working memory tasks by boys and girls.15 Additionally, the type of working memory task itself may be associated with sex differences seen in children, with boys who do not have developmental impairments performing better on tests of mental arithmetic and girls without developmental impairments performing better on tests of digit span.9 In this study, working memory performance on the WISC-IV was evaluated with 2 auditory tests (ie, digit span and letter-number sequencing),7,8 and we found that girls, irrespective of genetic status, had better WMI scores, aligning with prior meta-analytic research.9 Boys with the variant, however, appeared to be driving the at-large sex difference in this study, given that there were no significant differences in WISC-IV performance when examining boys and girls without the variant.
There are potential cognitive and academic implications of worse working memory performances compared with their peers among boys with ADAD variants. In children without developmental impairments, auditory working memory performance has been associated with verbal episodic memory performance.16 It is possible that early life differences in working memory are associated with sex differences seen in adulthood on episodic memory measures in this cohort.4 Auditory working memory was also found to be an important factor associated with reading comprehension,17,18 and worse working memory performance in childhood was associated with an increased likelihood of dropping out of secondary school.19 Decreased working memory performance in boys with variants needs to be further studied, as this increased risk could lead to downstream learning difficulties that may impact early life educational attainment. Future investigations should explore how this ADAD variant is specifically associated with acquiring academic skills (eg, reading speed and comprehension) and educational attainment (eg, number of school years repeated and frequency of school dropout), as well as the association of various sociodemographic factors with cognition among children with an ADAD variant. In this study, children with and without a variant did not differ on years of educational attainment, SES, or urbanity, but irrespective of genetic status, boys in this study attained approximately half a year less of formal education than their age-matched female peers. Enhancing early life educational experiences and quality has been suggested as a modifiable risk factor associated with dementia due to sporadic causes20 and is an important avenue of primary prevention research in ADAD. One study21 found that parental educational attainment can be associated with educational outcomes for children. Therefore, we need to explore possible interactions between parent education and cognitive and academic performance in individuals with and without the PSEN1 variant, as well as the association of SES, educational quality, and growing up in urban vs rural environments with cognitive outcomes.22,23
This study has several limitations, including uncertainty regarding generalizability to children with other ADAD variants. The risk of bias in the unbalanced number of children with and without the variant in the sample must also be noted, given that theoretically the ratio should be closer to 1:1 given the autosomal dominant nature of the PSEN1 E280A variant. The registry for this study, however, enrolls individuals without the variant who can trace their lineage to the extended PSEN1 E280A cohort but who do not necessarily have a parent with the variant. This likely contributed, at least in part, to bias in the sample. Another limitation of this study is that the environmental stress associated with caring for a parent with cognitive decline due to ADAD may not be an experience shared equally by children with and without the variant. Some children without the variant in the large sample did not have a biological parent with the variant but did have an extended relative with the variant. Owing to the bias of the large sample and the possible outcomes associated with caring for a parent who is progressing to the AD clinical syndrome, we chose to also run our analyses in a subsample consisting of children with and without the variant who also had at least 1 parent with the variant, and this analysis yielded similar results to those of the entire sample.
Another limitation of this study is its cross-sectional nature, whereas childhood is an extended period of physical and cognitive development. As the onset of adolescence is variable, our future work will consider the value of collecting data on the age of puberty onset and examine its association with sex differences in cognitive performance among individuals with the PSEN1 E280A variant. Some previous work has suggested that the early onset of menarche may be negatively associated with intelligence in the general population.24 Longitudinal studies are needed to identify the mechanism associated with these cognitive differences between boys and girls who have the variant and to determine the approximate age at which these differences emerge. Additionally, although participants were compared using the same WISC-IV norms from Mexico, WISC-IV norms for Colombia need to be developed given that children without the variant had lower index level performances than the expected mean value of 100 standard score seen in a reference sample.
We characterized the cognitive performance of children with an ADAD variant compared with children without the variant from the same kindred cohort. Overall, children with the PSEN1 E280A variant did not differ from children without the variant in performance across a wide set of cognitive domains. Boys with the variant, however, had decreased working memory performance compared with girls with and without the variant. These results may provide a foundation to investigate the earliest cognitive signs of ADAD and underscore the need for primary prevention research aimed at enhancing early life cognitive and educational experiences of ADAD cohort members.
Accepted for Publication: June 6, 2021.
Published: August 31, 2021. doi:10.1001/jamanetworkopen.2021.21697
Open Access: This is an open access article distributed under the terms of the CC-BY License. © 2021 Fox-Fuller JT et al. JAMA Network Open.
Corresponding Author: Yakeel T. Quiroz, PhD, Massachusetts General Hospital, Harvard Medical School, 39 First Ave, Ste 101, Boston, MA 02129 (firstname.lastname@example.org).
Author Contributions: Dr Quiroz had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. Mr Fox-Fuller and Ms Artola are co–first authors. Drs Lopera and Quiroz are co–senior authors.
Concept and design: Fox-Fuller, Ramírez, Aguirre-Acevedo, Arboleda-Velasquez, Langbaum, Lopera, Quiroz.
Acquisition, analysis, or interpretation of data: Fox-Fuller, Artola, Chen, Pulsifer, Ramírez, Londono, Aguirre-Acevedo, Vila-Castelar, Baena, Martinez, Tariot, Reiman, Lopera, Quiroz.
Drafting of the manuscript: Fox-Fuller, Artola, Ramírez, Londono, Aguirre-Acevedo, Vila-Castelar, Quiroz.
Critical revision of the manuscript for important intellectual content: Fox-Fuller, Chen, Pulsifer, Aguirre-Acevedo, Vila-Castelar, Baena, Martinez, Arboleda-Velasquez, Langbaum, Tariot, Reiman, Lopera, Quiroz.
Statistical analysis: Fox-Fuller, Artola, Chen, Londono, Aguirre-Acevedo, Vila-Castelar.
Obtained funding: Langbaum, Tariot, Reiman.
Administrative, technical, or material support: Chen, Pulsifer, Baena, Martinez, Tariot, Lopera.
Supervision: Vila-Castelar, Langbaum, Reiman, Lopera, Quiroz.
Conflict of Interest Disclosures: Dr Quiroz reported receiving grants from the National Institutes of Health Office of the Director, and Alzheimer’s Association outside the submitted work. Dr Lopera reported receiving support from an anonymous foundation; grants from the Colombian Administrative Department of Science, Technology and Innovation; National Institutes of Health; Banner Alzheimer’s Foundation; and Alzheimer’s Prevention Initiative (API) Colombia during the conduct of the study; and personal fees from the National Institutes of Health and API Colombia outside the submitted work. Drs Reiman, Lopera, and Tariot reported serving as principal investigators of the API Autosomal Dominant Alzheimer’s Disease Trial, which is supported by the National Institute on Aging (NIA), anonymous philanthropy, Genentech, and Roche. Dr. Reiman reported receiving support from the Banner Alzheimer’s Foundation and Nomis Foundation; research funding from Avid; and consulting fees from Eli Lilly. Dr Tariot reported receiving consulting fees from AbbVie, AC Immune, Boehringer Ingelheim, Chase Pharmaceuticals, CME, Genentech, MedAvante ProPhase, Otsuka, Eli Lilly, AstraZeneca, Avanir, Merck, Pfizer, and Roche; receiving research support from AstraZeneca, Avanir, Eli Lilly, Merck, Novartis, Roche, Functional Neuromodulation, GE Healthcare, Genentech, Pfizer, Avid Radiopharmaceuticals, and the Arizona Department of Health Services; owning stock options in Adamas Pharmaceuticals; and contributing to a patent for biomarkers of Alzheimer disease owned by the University of Rochester during the conduct of the study. Dr Chen reported receiving grants from the NIA and Arizona State University (ASU) during the conduct of the study; receiving personal fees from Green Valley, Beijing Normal University, and 6th People’s Hospital; and serving as faculty for the University of Arizona and ASU outside the submitted work. Dr Langbaum reported receiving grants from the NIA, Genentech, and Roche during the conduct of the study and personal fees from Alector and Biogen and grants from Novartis outside the submitted work. No other disclosures were reported.
Funding/Support: This study was supported by grants F31AG062158 to Mr Fox-Fuller, P30 AG19610 to Dr Reiman, and R01AG054671 to Dr Quiroz from the National Institutes of Health National Institute on Aging; the Massachusetts General Hospital Executive Committee on Research to Dr Quiroz; grant 2019-AARF-644631 from the Alzheimer's Association to Dr Vila-Castelar; and the Banner Alzheimer’s Foundation and Nomis Foundation to Dr Reiman.
Role of the Funder/Sponsor: The funder had no role in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; and decision to submit the manuscript for publication.