Skip to main content
Translational Psychiatry logoLink to Translational Psychiatry
. 2019 Jan 31;9:55. doi: 10.1038/s41398-019-0394-9

Transethnic meta-analysis of rare coding variants in PLCG2, ABI3, and TREM2 supports their general contribution to Alzheimer’s disease

Maria Carolina Dalmasso 1,#, Luis Ignacio Brusco 2,3,4,#, Natividad Olivar 2,3, Carolina Muchnik 5, Claudia Hanses 6, Esther Milz 7, Julian Becker 6, Stefanie Heilmann-Heimbach 8,9, Per Hoffmann 8,9,10, Federico A Prestia 1, Pablo Galeano 1, Mariana Soledad Sanchez Avalos 11, Luis Eduardo Martinez 4, Mariana Estela Carulla 4, Pablo Javier Azurmendi 5, Cynthia Liberczuk 2, Cristina Fezza 5, Marcelo Sampaño 2, Maria Fierens 2, Guillermo Jemar 2, Patricia Solis 12, Nancy Medel 12, Julieta Lisso 12, Zulma Sevillano 12, Paolo Bosco 13, Paola Bossù 14, Gianfranco Spalletta 15, Daniela Galimberti 16, Michelangelo Mancuso 17, Benedetta Nacmias 18, Sandro Sorbi 18,19, Patrizia Mecocci 20, Alberto Pilotto 21, Paolo Caffarra 22,23, Francesco Panza 24, Maria Bullido 25,26,27, Jordi Clarimon 26,28, Pascual Sánchez-Juan 29, Eliecer Coto 30, Florentino Sanchez-Garcia 31, Caroline Graff 32,33, Martin Ingelsson 34, Céline Bellenguez 35,36,37, Eduardo Miguel Castaño 1, Claudia Kairiyama 4, Daniel Gustavo Politis 4, Silvia Kochen 12, Horacio Scaro 11, Wolfgang Maier 38,39, Frank Jessen 38,40, Carlos Alberto Mangone 2, Jean-Charles Lambert 35,36,37, Laura Morelli 1,✉,#, Alfredo Ramirez 7,39,✉,#
PMCID: PMC6355764  PMID: 30705288

Abstract

Rare coding variants in TREM2, PLCG2, and ABI3 were recently associated with the susceptibility to Alzheimer’s disease (AD) in Caucasians. Frequencies and AD-associated effects of variants differ across ethnicities. To start filling the gap on AD genetics in South America and assess the impact of these variants across ethnicity, we studied these variants in Argentinian population in association with ancestry. TREM2 (rs143332484 and rs75932628), PLCG2 (rs72824905), and ABI3 (rs616338) were genotyped in 419 AD cases and 486 controls. Meta-analysis with European population was performed. Ancestry was estimated from genome-wide genotyping results. All variants show similar frequencies and odds ratios to those previously reported. Their association with AD reach statistical significance by meta-analysis. Although the Argentinian population is an admixture, variant carriers presented mainly Caucasian ancestry. Rare coding variants in TREM2, PLCG2, and ABI3 also modulate susceptibility to AD in populations from Argentina, and they may have a European heritage.

Introduction

Alzheimer’s disease (AD) is the most common form of dementia, and has an estimated genetic component of 60–80%1. Over the last decade, more than 20 loci containing common genetic variants (minor allele frequency (MAF) >5%) have been associated with AD2. The advent of new genetic sequencing technologies has enabled the identification of several rare variants (MAF <1%) with moderate effects on AD susceptibility3. In 2017, the International Genomics of Alzheimer’s Project (IGAP) reported four rare coding variants significantly associated with AD4, all of them being involved in microglial-mediated innate immunity. Two of them are novel nonsynonymous variants: a protective one in PLCG2 (rs72824905) and a risk one in ABI3 (rs616338). The other two were previously reported in the susceptibility gene TREM2 (rs143332484 and rs75932628), and are responsible for p.R62H and p.R47H substitutions, respectively. The findings in TREM2 have been consistently replicated in Caucasian46 and African-American populations7. However, the association of TREM2 p.R47H with AD could not be found in East Asian population, because its frequency is extremely low8,9. This latter observation suggests ethnic variability fostering investigation of these variants in different ethnic groups. Given the increasing population diversity observed in countries all over the world, understanding population-shared and -specific risk factors of AD will translate into improved and specific prevention and/or treatment for people.

Latin America is a vast territory, with a wide diverse admixture of European, Native American, and African ancestral populations. The genetic architecture of sporadic AD has not been studied in this population beyond APOE-ε4. In this report, we provide the first evidence for an association between TREM2, PLCG2, and ABI3 rare variants and AD in the Argentinian population.

Methods

Subjects

Individuals with AD and without cognitive impairment older than 60 years were recruited from outpatient Neurology Departments of the following hospitals: Instituto de Investigaciones Médicas “Alfredo Lanari” and Hospital de Clínicas (Buenos Aires City), Hospital Interzonal General de Agudos “Eva Perón” (General San Martín county), Hospital El Cruce “Dr. Néstor Kirchner” (Florencio Varela county), and several assistance centers located across Jujuy province. Only samples from people born in Argentina or in South America were included in the analysis. This study was approved by the ethical committee “Comité de Bioética Fundación Insituto Leloir (HHS IRB #00007572, IORG # 006295, FWA00020769)” by the approval of protocol CBFIL #22. All participants and/or family members gave their informed consent.

Diagnosis of AD followed diagnostic criteria from the National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s disease and Related Disorders Association (NINCDS-ADRDA)10. The diagnosis of AD includes a clinical examination to evaluate functionality and activities of daily living that should be compromised; a complete panel of neurocognitive tests to evaluate memory, attention, language, and executive function, of which one or more should be altered; a computerized tomography and/or magnetic resonance imaging to assess cortical–hippocampal atrophy and vascular events, and a blood test analysis to exclude metabolic or infectious causes of dementia. Individuals were included as controls if neurocognitive and clinical assessments were normal.

Genotyping and statistics

Genomic DNA was isolated using standard procedures from whole blood or saliva samples. TREM2 (rs143332484 and rs75932628), PLCG2 (rs72824905), and ABI3 (rs616338) variants were genotyped using custom-designed TaqMan assays (Thermo Fisher). Assay accuracy was checked by including positive and negative controls in each experiment. APOE alleles were determined by genotyping rs429358 and rs7412. Association with AD was calculated using Fisher’s exact test with statistical significance of p < 0.05. All variants were in Hardy–Weinberg equilibrium (HWE, p > 0.05). Power calculations were performed using Genetic Power Calculator for discrete traits (http://zzz.bwh.harvard.edu/gpc/cc2.html). Meta-analysis for the effect of rare variants in association with AD was conducted using beta and standard error with Metafor R-package11. Populations from France (n = 8514), Italy (n = 2306), Spain (n = 3966), and Sweden (n = 2286) from the European Alzheimer's Disease Initiative (EADI)4 were included in the meta-analysis.

Ancestry of the population

European (CEU, n = 85), Yorubas African (AFR, n = 88), and Native American (NAM, n = 46) ancestral populations were obtained from 1000 Genomes (http://www.internationalgenome.org/). Argentinian samples (ARG) were subjected to genome-wide genotyping using the Infinium Global Screening Array (GSA) v.1.0+GSA shared custom content (Illumina). Quality controls (QC) were performed as described before12, using PLINK v1.913 and R v3.4.414. After QC, remaining samples (n = 834) have <5% of missing genotypes and passed sex-check and identity-by-state filters. Remaining single nucleotide polymorphisms (SNPs) have >95% call rate, MAF >1%, are in HWE (p > 10−6), and without differences in call rate between cases and controls (p < 1 × 10−5).

For the ancestry analyses, overall population ancestry was first evaluated for ARG by extracting 446 ancestry informative markers (AIMs), which were specifically selected to estimate ancestry in Latin America15, from the genotyped data. Second, ancestry of chromosomes containing rare variants was evaluated by extracting from the 446 AIMS, the AIMs in chromosome 6 from people carrying TREM2 p.R47H and TREM2 p.R62H, those AIMs in chromosome 16 from people carrying PLCG2 p.P522R, and finally AIMs in chromosome 17 from people carrying ABI3 p.S209F. For each ancestry estimation, the same AIMs were extracted from CEU, AFR, and NAM. Ancestry was predicted using ADMIXTURE v1.3.016.

Results

To evaluate the association of the four rare variants recently reported by IGAP4 with AD in an Argentinian population sample (ARG), 905 participants were recruited from different regions of the country. Demographic and clinical information of the 419 AD cases and 486 controls is summarized in Table 1. We first explored the risk effect of APOE-ε4 allele on AD susceptibility confirming thereby previous reports (odds ratio (OR) = 3.14, p < 0.0001)17. For APOE-ε2, we observed the expected protective effect, although it did not reach statistical significance (OR = 0.77, p < 0.33). Next, we genotyped the recently described rare variants4, i.e., TREM2 p.R47H (rs75932628) and p.R62H (rs143332484), PLCG2 p.P522R (rs72824905) and ABI3 p.S209F (rs616338). All of them were detected in ARG with MAFs similar to those reported by IGAP (Table 2)4. They also showed similar magnitude of association, even though neither of these variants reached statistical significance (Table 2)4. This observation was expected, since our sample had a power of 60% to detect OR = 3 of a variant with MAF = 0.01. Notwithstanding, the fact that all variants showed similar effect sizes and effect directions as in the report of IGAP prompted us to perform a meta-analysis using samples from France, Italy, Spain, and Sweden (EADI)4. Despite larger sample size, statistical power associated with EADI does not allow to reach nominal significant association with AD risk. However, when meta-analyzing both EADI and ARG samples, this gain in power is enough to help in reaching statistical significance for the variants analyzed, in particular the TREM2 p.R47H variant (Table 3, Figure S1). Unfortunately, information for TREM2 p.R62H was not available. This can be explained by the observation that the variant effects in ARG are similar to those detected in the other European populations analyzed (as indicated by heterogeneity statistic (I2), see Table 3). All these results together support the hypothesis that these rare variants are also associated to AD in ARG at a similar level than the one observed in Europe.

Table 1.

Argentinian sample demographics

No. of subjects (female %) Age (years) AAO mean (SD) MMSE mean (SD) CDR mean (SD) APOE freq (%) APOE-ε4 carriers (%)
Mean (SD) Range ε2 ε3 ε4
Cases 419 (64.4) 77.2 (6.3) 62–96 72.5 (6.5) 18.3 (5.8) 1.4 (0.75) 3.5 69.5 27.0 45.6
Controls 486 (65.6) 74.6 (7.5) 59–105 28.5 (1.2) 0.3 (0.3) 5.5 84.2 10.4 19.6

SD standard deviation, AAO age at onset, MMSE Mini-Mental State Examination, CDR Clinical Dementia Rating scale, APOE freq apolipoprotein E allele frequency

Table 2.

Genotyping results for TREM2, PLCG2, and ABI3

Gene Protein variation MAF cases MAF controls Allele cases Alleles controls OR 95% CI P value ORIGAP
TREM2 p.R47H 0.005 0.001 4|816 1|948 4.68 0.46–230.84 0.19 2.46
TREM2 p.R62H 0.012 0.009 10|816 9|956 1.31 0.47–3.68 0.64 1.67
PLCG2 p.P522R 0.004 0.006 3|810 6|944 0.58 0.09–2.73 0.52 0.68
ABI3 p.S209F 0.012 0.004 9|772 4|912 2.70 0.75–12.07 0.10 1.43

MAF minor allele frequency, OR odds ratio, CI confidence interval, IGAP International Genomics of Alzheimer’s Project

Table 3.

Contribution of Argentinian samples to meta-analysis

Gene Protein variation Populations OR 95% CI P value I 2
TREM2 p.R47H EADI 2.10 1.04–4.27 0.04 0.00
EADI+ARG 2.29 1.17–4.47 0.02 0.00
PLCG2 p.P522R EADI 0.60 0.35–1.03 0.06 4.17
EADI+ARG 0.60 0.36–0.99 0.05 0.00
ABI3 p.S209F EADI 1.49 0.90–2.48 0.12 0.00
EADI+ARG 1.58 0.98–2.57 0.06 0.00

OR odds ratio, CI confidence interval, I2 heterogeneity statistic

Although it is generally accepted that the population from Argentina is mostly originated from Europe, several studies have shown that this population is an admixture of predominantly European and Native American ancestry18. To estimate the ancestry of ARG, we used a panel of 446 SNPs, reported to be precisely balanced to study Latin American populations15. ARG showed to be an admixture of mainly CEU and NAM, and to a lesser extent of AFR (Fig. S2). Proportions of ancestries are equally distributed among cases and controls (Fig. 1a), indicating that association analysis may not be biased by population stratification. Furthermore, we looked at the ancestry of people carrying the rare variant mutations in ARG (Fig. S3) and detected that CEU component was predominant in all the carriers (Fig. 1b). Although ancestry estimation at the specific locus was not possible due to the lack of AIMs in close proximity to the rare variants, the ancestry of the chromosomes containing the rare variants showed to be CEU (Fig. 2), suggesting a European heritage for the studied variants.

Fig. 1. Ancestry analysis of DNA samples that passed quality controls.

Fig. 1

a Distribution of genetic ancestry in Alzheimer’s disease (AD) cases and controls. Bar-plots represent each participant on the x-axis, and his percent of European (CEU), African (AFR), and Native American (NAM) ancestry on the y-axis. b Ancestry of rare variant carriers. Box-plots show ancestry composition in percent of people carrying TREM2 p.R47H (n = 3), TREM2 p.R62H (n = 16), PLCG2 p.P522R (n = 6), and ABI3 p.S209F (n = 11) mutations

Fig. 2. Ancestry of chromosomes containing the rare variants.

Fig. 2

Principal component analysis (PCA) of ancestry results for a chromosome 6, containing TREM2 p.R47H (black) and TREM2 p.R62H (gray); b chromosome 16, containing PLCG2 p.P522R (black); and c chromosome 17, containing ABI3 p.S209F. Ancestral populations are European (blue), African (red), and Native American (green). Percent of distribution explained by each principal component (PC) it is shown in parenthesis

Discussion

Here we show information from a case–control study performed in Argentina, being the first study on sporadic AD genetics in South America, beyond APOE. Our results strongly suggest that rare coding variants described by IGAP in TREM2, PLCG2, and ABI3 might also modulate the susceptibility to AD in this population. In addition, we confirmed, as previously reported18, that ARG is an admixture of mainly NAM and CEU. NAM ancestry stemmed from the first settlers of the Americas, who originated from an East Asian population that migrated from Siberia19. On the other hand, CEU ancestry is a consequence of the pro-immigration legislation to populate Argentina during nineteenth–twentieth century20. In this context, we observed that while APOE-ε4 OR was similar to that reported for Caucasians (ORARG = 3.14 vs ORCEU = 3.6, http://www.alzgene.org/), its frequency in AD cases was lower (26.9% in ARG vs. 38% in CEU, http://www.alzgene.org/). This lower frequency is in agreement with data previously reported in other Latin American countries21. Interestingly, it is among the lowest worldwide together with that of Mediterranean basin and Native Americans22,23, which are the main contributors to Argentinian admixture.

It is of note that the rare variants studied here showed MAFs similar to those reported by IGAP in Caucasians4. Unfortunately, since there are no reports in Amerindians, we could not compare their MAFs. However, TREM2 p.R47H is almost absent in East Asians8,9, suggesting that it might also be extremely rare in Native Americans. For the rest of the variants, we performed a search in ExaC database (exac.broadinstitute.org), and found that PLCG2 p.P522R, and TREM2 p.R62H were not detected in approximately 4300 East Asian individuals. Unfortunately, results for ABI3 p.S209F are not reliable due to low quality. Notwithstanding, these observations, together with our results showing that the chromosomes containing these rare variants have mainly Caucasian ancestry in the identified carriers, strongly suggest a European origin for these variants. However, the possibility still remains open that the loci containing the studied rare variants might have an ancestry other than Caucasian. To answer this question, additional studies comparing SNPs among ancestral populations are needed to identify AIMs that better explain the ancestry of these loci.

In conclusion, we report the first genetic data from Argentinian population, which support the contribution of rare coding variants to AD susceptibility. Although this population size is not enough to reach statistical significance for the rare variants studied here, it is a relevant opportunity to start filling the gap on AD genetic architecture in Latin American admixed populations. Our analysis fosters further analysis of these rare variants in other Latin populations to confirm our initial observation. Importantly, expanding research to admixed populations, like this one, will help to identify potential population-specific effects on the genetic structure of AD, in addition to better define conserved relevant pathways involved in the disease.

Supplementary information

Supplemetal Figures (742.5KB, pdf)

Acknowledgements

This work was supported by grants from the International Society for Neurochemistry (ISN) and Alexander von Humboldt Foundation (to M.C.D.); Agencia Nacional de Promoción Científica y Tecnológica (PBIT/09 2013, PICT-2015-0285 and PICT-2016-4647 to L.M.; PICT-2014-1537 to M.C.D.); GENMED Labex and JPND PERADES grant; and JPND EADB grant (German Federal Ministry of Education and Research, BMBF: 01ED1619A).

Conflict of interest

The authors declare that they have no conflict of interest.

Informed consent

All participants had agreed by signed informed consent to participate in genetic studies approved by our Institutional Review Board.

Footnotes

Publisher’s note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Maria Carolina Dalmasso, Luis Ignacio Brusco, Laura Morelli, Alfredo Ramirez

Contributor Information

Laura Morelli, Phone: +54-11-5238-7500/1, Email: lmorelli@leloir.org.ar.

Alfredo Ramirez, Phone: +49-221-478-98041/98042, Email: alfredo.ramirez@uk-koeln.de.

Supplementary information

Supplementary information accompanies this paper at (10.1038/s41398-019-0394-9).

References

  • 1.Gatz M, et al. Role of genes and environments for explaining Alzheimer Disease. Arch. Gen. Psychiatry. 2006;63:168. doi: 10.1001/archpsyc.63.2.168. [DOI] [PubMed] [Google Scholar]
  • 2.Naj AC, Schellenberg GD. Genomic variants, genes, and pathways of Alzheimer’s disease: an overview. Am. J. Med Genet. B Neuropsychiatr. Genet. 2017;174:5–26. doi: 10.1002/ajmg.b.32499. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Del-Aguila JL, et al. Alzheimer’s disease: rare variants with large effect sizes. Curr. Opin. Genet. Dev. 2015;33:49–55. doi: 10.1016/j.gde.2015.07.008. [DOI] [PubMed] [Google Scholar]
  • 4.Sims R, et al. Rare coding variants in PLCG2, ABI3, and TREM2 implicate microglial-mediated innate immunity in Alzheimer’s disease. Nat. Genet. 2017;49:1373–1384. doi: 10.1038/ng.3916. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Benitez Ba, et al. TREM2 is associated with the risk of Alzheimer’s disease in Spanish population. Neurobiol. Aging. 2013;34:1711.e15–7. doi: 10.1016/j.neurobiolaging.2012.12.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Finelli D, et al. TREM2 analysis and increased risk of Alzheimer’s disease. Neurobiol. Aging. 2015;36:546.e9–546.e13. doi: 10.1016/j.neurobiolaging.2014.08.001. [DOI] [PubMed] [Google Scholar]
  • 7.Jin SC, et al. TREM2 is associated with increased risk for Alzheimer’s disease in African Americans. Mol. Neurodegener. 2015;10:19. doi: 10.1186/s13024-015-0016-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Miyashita A, et al. Lack of genetic association between TREM2 and late-onset Alzheimer’s disease in a Japanese population. J. Alzheimers Dis. 2014;41:1031–1038. doi: 10.3233/JAD-140225. [DOI] [PubMed] [Google Scholar]
  • 9.Huang M, et al. Lack of genetic association between TREM2 and Alzheimer’s disease in East Asian population. Am. J. Alzheimer’s Dis. Other Dement. 2015;30:541–546. doi: 10.1177/1533317515577128. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.McKhann GM, et al. The diagnosis of dementia due to Alzheimer’s disease: recommendations from the National Institute on Aging-Alzheimer’s Association workgroups on diagnostic guidelines for Alzheimer’s disease. Alzheimer’s Dement. 2011;7:263–269. doi: 10.1016/j.jalz.2011.03.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Viechtbauer W. Conducting meta-analyses in R with the metafor package. J. Stat. Softw. 2010;36:1–48. doi: 10.18637/jss.v036.i03. [DOI] [Google Scholar]
  • 12.Anderson CA, et al. Data quality control in genetic case-control association studies. Nat. Protoc. 2010;5:1564–1573. doi: 10.1038/nprot.2010.116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Chang CC, et al. Second-generation PLINK: rising to the challenge of larger and richer datasets. Gigascience. 2015;4:7. doi: 10.1186/s13742-015-0047-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.R Core Team. R: A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2018).
  • 15.Galanter JM, et al. Development of a panel of genome-wide ancestry informative markers to study admixture throughout the americas. PLoS Genet. 2012;8:e1002554. doi: 10.1371/journal.pgen.1002554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Alexander DH, Novembre J, Lange K. Fast model-based estimation of ancestry in unrelated individuals. Genome Res. 2009;19:1655–1664. doi: 10.1101/gr.094052.109. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Morelli L, Leoni J, Castano EM, Mangone CA, Lambierto A. Apolipoprotein E polymorphism and late onset Alzheimer’s disease in Argentina. J. Neurol. Neurosurg. Psychiatry. 1996;61:426–427. doi: 10.1136/jnnp.61.4.426. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Avena S, et al. Heterogeneity in genetic admixture across different regions of argentina. PLoS One. 2012;7:e34695. doi: 10.1371/journal.pone.0034695. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Bodner M, et al. Rapid coastal spread of First Americans: novel insights from South America’s Southern Cone mitochondrial genomes. Genome Res. 2012;22:811–820. doi: 10.1101/gr.131722.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Devoto FJ. Argentine migration policy and movements of the European population (1876-1925) Estud. Migr. Latinoam. 1989;4:135–158. [PubMed] [Google Scholar]
  • 21.Jacquier M, et al. APOE e4 and Alzheimer’s disease: positive association in a Colombian clinical series and review of the Latin-American studies. Arq. Neuropsiquiatr. 2001;59:11–17. doi: 10.1590/S0004-282X2001000100004. [DOI] [PubMed] [Google Scholar]
  • 22.Ward A, et al. Prevalence of Apolipoprotein E4 genotype and homozygotes (APOE e4/4) among patients diagnosed with Alzheimer’s disease: a systematic review and meta-analysis. Neuroepidemiology. 2012;38:1–17. doi: 10.1159/000334607. [DOI] [PubMed] [Google Scholar]
  • 23.Henderson JN, et al. Apolipoprotein E4 and tau allele frequencies among Choctaw Indians. Neurosci. Lett. 2002;324:77–79. doi: 10.1016/S0304-3940(02)00150-7. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplemetal Figures (742.5KB, pdf)

Articles from Translational Psychiatry are provided here courtesy of Nature Publishing Group

RESOURCES