Abstract
Background:
Parental history of dementia appears to increase the risk of dementia, but there have been inconsistent results. We aimed to investigate whether the association between parental history of dementia and the risk of dementia are different by dementia subtypes and sex of parent and offspring.
Methods:
For this cross-sectional study, we harmonized and pooled data for 17,194 older adults from nine population-based cohorts of eight countries. These studies conducted face-to-face diagnostic interviews, physical and neurological examinations, and neuropsychological assessments to diagnose dementia. We investigated the associations of maternal and paternal history of dementia with the risk of dementia and its subtypes in offspring.
Results:
The mean age of the participants was 72.8 ± 7.9 years and 59.2% were female. Parental history of dementia was associated with higher risk of dementia (odds ratio [OR]=1.47, 95% confidence interval [CI]=1.15–1.86) and Alzheimer’s disease (AD) (OR=1.72, 95% CI=1.31–2.26), but not with the risk of non-AD. This was largely driven by maternal history of dementia, which was associated with the risk of dementia (OR=1.51, 95% CI=1.15–1.97) and AD (OR=1.80, 95% CI=1.33–2.43) whereas paternal history of dementia was not. These results remained significant when males and females were analyzed separately (OR=2.14, 95% CI=1.28–3.55 in males; OR=1.68, 95% CI=1.16–2.44 for females).
Conclusions:
Maternal history of dementia was associated with the risk of dementia and AD in both males and females. Maternal history of dementia may be a useful marker for identifying individuals at higher risk of AD and stratifying the risk for AD in clinical trials.
Keywords: Dementia, Alzheimer’s disease, Parental history, Maternal history, Sex
INTRODUCTION
Having parents with dementia can increase the risk of dementia via the inheritance of genetic factors and/or a shared lifestyle or environment. The heritability of dementia has been estimated to be 43%,1 with the inheritance of genetic risk factors such as an apolipoprotein E (APOE) ε4 allele contributing to an increased risk of Alzheimer’s disease (AD) in offspring with a parental history of dementia.2 According to the 2020 report of the Lancet Commission, about half of all dementia cases could be prevented or delayed by modifying 12 risk factors across the lifespan: education (early life), hearing loss, traumatic brain injury, hypertension, alcohol overuse, and obesity (midlife), and smoking, depression, social isolation, physical inactivity, air pollution, and diabetes (late life).3 Many of these factors tend to be highly shared between parents and their children, including educational attainment,4 hearing loss,5 hypertension,6 alcohol overuse,7 obesity,8 and diabetes9.
Most, but not all, previous studies have found an association between parental history of dementia and the risk of dementia or AD, including a nationwide cross-sectional epidemiological study from China10 and a large claims-based study.11 Two case control studies reported the association12,13 while one did not.14 Similarly, one prospective cohort study found the association2 while another did not.15 In the studies reporting the association, parental history of dementia roughly doubled the risk of dementia or AD.2,11–13
Inconsistent results across previous studies might be partly due to the association between parental history of dementia and the risk of dementia being complex. The dementia subtypes of parents were not specified in most previous studies,2,10,12–15 but the association between parental history of dementia and the risk of dementia may differ by subtype, because the heritability of dementia differs by subtype. For example, AD has a higher heritability than vascular dementia (VaD).1,16 Most previous studies also did not analyze maternal and paternal histories separately.10,12–15 However, maternal and paternal histories of dementia may have different associations with the risk of dementia. Maternal inheritance of AD is more common than paternal inheritance of AD,17,18 and maternal history of dementia, but not paternal history of dementia, is reportedly associated with biomarkers of amyloid deposition19–21 and neurodegeneration.21–23 Further, compared to males, females may be more vulnerable to pathologies of neurodegenerative diseases and at greater risk for dementia,24,25 yet the sex of offspring was not considered in most previous studies.2,13–15
To our knowledge, no previous study of the association between parental history of dementia and the risk of dementia has simultaneously considered dementia subtypes, different heritability from mothers and fathers, and sex differences in the risk of dementia. We addressed this in the present cross-sectional study, using the pooled data of nine population-based cohort studies from eight countries. By considering potentially influential factors and having a large heterogenous sample, we intend our findings to more accurately and comprehensively represent the relationship between parental history of dementia and the risk of dementia.
METHODS
Study population
For a cross-sectional analysis, we pooled data from nine member studies of Cohort Studies of Memory in an International Consortium (COSMIC) (Table 1).26–35 While we used the baseline data of seven studies,27,29,31–35 for two studies, the Sydney Memory and Ageing Study (MAS)28 and Personality And Total Health through life (PATH),30 we used the most recent follow-up data (6th wave in MAS and 4th wave in PATH). This is because the MAS did not include participants with dementia at baseline and PATH obtained information on parental history of dementia only at wave 4. All participants were randomly sampled from community-dwelling older adults (we excluded institutionalized participants who were also sampled in the Leipzig Longitudinal Study of the Aged).
Table 1.
H70 | HELIAD | Invece.Ab | KLOSCAD | LEILA 75+ | MAS | MMAP | PATH | ZARADEMP | All | |
---|---|---|---|---|---|---|---|---|---|---|
Reference | Thorvaldsson et al.33 [2017] | Dardiotis et al.32 [2014] | Guaita et al.31 [2013] | Han et al.35 [2018] | Riedel-Heller et al.27 [2001] | Sachdev et al.28 [2010] | Dominguez et al.34 [2018] | Anstey et al.30 [2012] | Lobo et al.29 [2011] | - |
Schedule | ||||||||||
Start | 2000 | 2009 | 2009 | 2010 | 1997 | 2005 | 2011 | 2001 | 1994 | - |
End | Ongoing | Ongoing | 2015 | 2020 | 2014 | Ongoing | Ongoing | 2021 | Ongoing | - |
Interval* | 2–4 years | 3 years | 2 years | 2 years | 5 years | 2 years | 5 years | 4 years | 1–5 years | - |
Location | Gothenburg, Sweden | Larissa and Marousi, Greece | Milan, Italy | Nationwide, South Korea | Leipzig, Germany | Sydney, Australia | Marikina, Philippines | Canberra and Queanbeyan, Australia | Zaragoza, Spain | - |
Participants | ||||||||||
Ethnicity | White | White | White | Asian | White | White | Asian | White | White | - |
Age† | 73.9 ± 4.9 | 73.1 ± 5.7 | 72.2 ± 1.3 | 70.2 ± 6.9 | 81.5 ± 5.0 | 86.9 ± 4.2 | 69.6 ± 6.6 | 75.2 ± 1.6 | 73.5 ± 9.7 | 72.8 ± 7.9 |
Numbers | ||||||||||
All | 1018 | 2062 | 1321 | 6818 | 1265 | 465 | 1367 | 361 | 4803 | 19480 |
Included | 796 | 1961 | 1304 | 6218 | 814 | 406 | 672 | 354 | 4669 | 17194 |
Dementia | 20 | 90 | 39 | 254 | 85 | 91 | 57 | 26 | 199 | 861 |
AD | 10 | 70 | 13 | 194 | 50 | 65 | 49 | 23 | 131 | 605 |
VaD | 4 | 7 | 13 | 36 | 27 | 13 | 6 | 1 | 49 | 156 |
OD | 6 | 13 | 13 | 24 | 8 | 13 | 2 | 2 | 19 | 100 |
Family history§ | ||||||||||
Parental | 205(25.8) | 215(11.0) | 103(7.9) | 582(9.4) | 96(11.8) | 63(15.5) | 121(18.0) | 67(18.9) | 301(6.4) | 1753(10.2) |
Maternal | 144(18.1) | 159(8.1) | 90(6.9) | 481(7.7) | 64(7.9) | 44(10.8) | 106(15.8) | 51(14.4) | 199(4.3) | 1338(7.8) |
Paternal | 80(10.1) | 61(3.1) | 14(1.1) | 127(2.0) | 34(4.2) | 19(4.7) | 35(5.2) | 19(5.4) | 111(2.4) | 499(2.9) |
Both | 19(2.4) | 4(0.2) | 1(0.1) | 26(0.4) | 2(0.2) | 0(0.0) | 20(3.0) | 3(0.8) | 9(0.2) | 84(0.5) |
H70, Gothenburg H70 Birth Cohort Studies; HELIAD, Hellenic Longitudinal Investigation of Aging and Diet; Invece.Ab, Invecchiamento Cerebrale in Abbiategrasso; KLOSCAD, Korean Longitudinal Study on Cognitive Aging and Dementia; LEILA75+, Leipzig Longitudinal Study of the Aged; MAS, The Sydney Memory and Ageing Study; MMAP, Marikina Memory and Aging Project; PATH, Personality And Total Health through life; ZARADEMP, Zaragoza Dementia Depression Project; AD, Alzheimer’s disease; VaD, vascular dementia; OD, other types of dementia
follow-up interval
age (years) at the baseline assessment presented as mean ± standard deviation
presented as numbers of participants (percentage)
From an initial total sample of 19,480 participants, we excluded 2,286 participants due to missing data for diagnosis of dementia (N = 519), parental history of dementia (N = 939), educational level (N = 114), hypertension (N = 260), or diabetes mellitus (DM) (N = 454), giving a final sample of 17,194 participants. The included cohorts varied in size from 361 to 6,218 participants.
Measures
All studies diagnosed dementia by face-to-face diagnostic interviews, physical and neurologic examinations, and neuropsychological assessments26 according to Diagnostic and Statistical Manual of Mental Disorders criteria, with eight using the Fourth edition (DSM-IV)36 and one33 using the Third Edition, Revised (DSM-III-R).37 All studies also provided data on dementia subtypes. Six studies29,31–35 diagnosed AD according to the National Institute of Neurological and Communicative Diseases and Stroke/Alzheimer’s Disease and Related Disorders Association (NINCDS-ADRDA) criteria,38 two studies27,30 according to the DSM-IV criteria,36 and one study28 according to DSM-5 criteria.39 Five studies29,31–33,35 diagnosed VaD according to the National Institute of Neurological Disorders and Stroke and the Association Internationale pour la Recherche et 1’Enseignement en Neurosciences (NINDS-AIREN) criteria,40 two studies27,30 according to the DSM-IV criteria,36 one study28 according to DSM-5 criteria,39 and one study34 according to the Hachinski ischemic scale.41 We classified cases with mixed dementia, both AD and VaD, as AD.
All studies provided data on parental (paternal and maternal) history of dementia, age, sex, educational level, presence of hypertension and DM (all harmonized when necessary). All studies but the Zaragoza Dementia Depression Project (ZARADEMP) determined APOE genotype. Across the other eight studies, 9,397 (75%) participants had data on APOE genotype. Hypertension was defined by self-report of medical history, current medication and/or measured blood pressure of ≥ 140/90. DM was defined by self-report of medical history, current medication, and/or fasting blood glucose ≥126mg/dL or >7mmol/L.
Analysis
We compared continuous variables between groups using Student’s t tests and categorical variables using chi square tests. We examined the associations of parental, maternal and paternal histories of dementia with the risk of all-cause dementia using binary logistic regression analysis, and with the risks of AD, VaD and other dementia (OD) using multinomial logistic regression analysis. In both analyses, we adjusted for age, educational level, hypertension, DM and cohort as covariates. In the subgroup with APOE genotype data we repeated the analyses with additional adjustment for APOE genotype. We examined the interaction between maternal/paternal history of dementia and sex of the participants using multinomial logistic regression analysis computing maternal/paternal history of dementia, sex of the participants, and their interaction as independent variables, diagnosis (normal, all-cause dementia, AD, VaD, and OD) as a dependent variable, and age, educational level, hypertension, DM and cohort as covariates. We also estimated the risk of AD associated with maternal/paternal history of dementia in male and female participants separately. To investigate heterogeneity across the cohorts, we used the restricted maximum likelihood method.
As sensitivity analyses, we conducted leave-one-out analyses for each outcome by omitting each study in turn from the pooled dataset to determine if any single study unduly influenced the results. Considering differences among cohorts in the prevalence of parental history of dementia, we also conducted the analysis by omitting studies with a prevalence of parental history lower than the mean prevalence across all participants (10.2%). To examine whether the results were affected by ethnicity, we performed logistic regression analysis computing maternal/paternal history of dementia, ethnicity, and their interaction as independent variables, dementia diagnosis as a dependent variable, and age, educational level, hypertension, DM and cohort as covariates.
The KLOSCAD team harmonized and pooled the datasets, and performed the analyses using the Statistical Package for Social Sciences, v20 (SPSS Inc., Chicago, IL).
Ethics approval and consent to participate
This study conformed to the provisions of the Declaration of Helsinki and was approved by the University of New South Wales Human Research Ethics Committee (Ref: # HC12446). All nine studies that were involved in this research had previously received approval from their own institutional review boards to ensure ethical standards were met, and all participants willingly provided informed consent.
RESULTS
The mean age of the 17,194 included participants (7,022 male and 10,172 female) was 72.8 ± 7.9 years old. The proportion of participants for which one parent had dementia was 10.2% (N = 1753), and for which both parents had dementia was 0.5% (N = 84). Maternal history of dementia was more common than paternal history of dementia in all cohorts (Table 1). Participants with a parental history of dementia were younger, more educated and less likely to have hypertension, though more likely to have an APOE ε4 allele than those without a parental history of dementia. These results were similar when paternal and maternal history of dementia were analyzed separately (Table 2).
Table 2.
Characteristics | Parental history | Paternal history | Maternal history | ||||||
---|---|---|---|---|---|---|---|---|---|
No (N = 15441) |
Yes (N = 1753) |
p* | No (N = 16695) |
Yes (N = 499) |
p* | No (N = 15856) |
Yes (N = 1338) |
p* | |
Age, years | 72.8 ± 7.9 | 71.4 ± 7.7 | <0.001 | 72.8 ± 7.9 | 71.4 ± 7.7 | <0.001 | 72.9 ± 7.9 | 70.8 ± 7.3 | <0.001 |
Female, N(%) | 9110(59.0) | 1062(60.6) | 0.184 | 9883(59.2) | 293(58.7) | 0.838 | 9355(59.0) | 818(61.1) | 0.126 |
Educational level, years | 8.1 ± 4.7 | 9.7 ± 4.7 | <0.001 | 8.1 ± 4.7 | 9.7 ± 4.7 | <0.001 | 8.0 ± 4.7 | 9.7 ± 4.5 | <0.001 |
Hypertension, N(%) | 8956(58.0) | 919(52.4) | <0.001 | 9616(57.6) | 259(51.9) | 0.011 | 9181(57.9) | 698(52.2) | <0.001 |
Diabetes mellitus, N(%) | 2671(17.3) | 282(16.1) | 0.212 | 2872(17.2) | 81(16.2) | 0.557 | 2743(17.3) | 215(16.1) | 0.282 |
Apolipoprotein E ε4 (+)*, N(%) | 3289(21.3) | 498(28.4) | <0.001 | 3673(22.0) | 134(26.8) | 0.056 | 3393(21.4) | 385(28.8) | < 0.001 |
Age and educational level are presented as mean ± standard deviation.
Student t test for continuous variables and chi square test for categorical variables *9397 particpants (8296 without parental history and 1101 with parental history) had data on apolipoprotein E genotype
As summarized in Table 3, parental history of dementia was associated with a 1.5 times higher risk of dementia (odds ratio [OR] = 1.47, 95% confidence interval [CI] = 1.15 – 1.86, p = 0.002). When analyzed with the risks of AD, VaD and OD separately, parental history of dementia was associated with the risk of AD (OR = 1.72, 95% CI = 1.31 – 2.26, p < 0.001), but not with the risk of VaD (OR = 0.99, 95% CI 0.54 – 1.81, p = 0.963) or OD (OR = 0.92, 95% CI = 0.44 – 1.93, p = 0.822). The association between parental history of dementia and the risk of AD remained significant (OR = 1.54, 95% CI = 1.06 – 2.23, p = 0.023) in the subgroup analysis where we further adjusted for the presence of an APOE ε4 allele.
Table 3.
Number of participants | Risk of dementia* | Risk of AD† | Risk of VaD† | Risk of OD† | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Control | Dementia | AD | VaD | OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | p | |
Model 1‡ | ||||||||||||||||
None | 14674 | 767 | 531 | 144 | 1.00 | 1.00 | 1.00 | 1.00 | ||||||||
Parental | 1659 | 94 | 74 | 12 | 1.47 | 1.15–1.86 | 0.002 | 1.72 | 1.31–2.26 | <0.001 | 0.99 | 0.54–1.81 | 0.963 | 0.92 | 0.44–1.93 | 0.822 |
Model 2§ | ||||||||||||||||
None | 7938 | 358 | 245 | 63 | 1.00 | 1.00 | 1.00 | 1.00 | ||||||||
Parental | 1055 | 46 | 41 | 2 | 1.13 | 0.80–1.59 | 0.482 | 1.54 | 1.06–2.23 | 0.023 | 0.27 | 0.07–1.13 | 0.073 | 0.50 | 0.15–1.62 | 0.245 |
OR, odds ratio; CI, confidence intervals; AD, Alzheimer’s disease; VaD, Vascular dementia, OD; Other dementia
binary logistic regression analyses
multinomial logistic regression analyses
adjusted for age, educational level, hypertension, diabetes mellitus and cohort as covariates
adjusted for age, educational level, hypertension, diabetes mellitus, cohort and the presence of APOE ε4 allele as covariates
Table 4 shows results for separate analyses of paternal and maternal history of dementia. Maternal, but not paternal, history of dementia was associated with higher risks of all-cause dementia (OR = 1.51, 95% CI = 1.15 – 1.97, p = 0.003) and AD (OR = 1.80, 95% CI = 1.33 – 2.43, p < 0.001). With further adjustment for the presence of APOE ε4 allele in the subgroup of participants with APOE genotype data, maternal history of dementia remained associated with the risk of AD (OR = 1.64, 95% CI = 1.10 – 2.44, p = 0.014), but not with the risk of all-cause dementia (OR = 1.19, 95% CI = 0.82 – 1.72, p = 0.361). The association between maternal history of dementia and risk of AD was found for both male (OR = 2.14, 95% CI = 1.28 – 3.55, p = 0.003) and female (OR =1.68, 95% CI = 1.16 – 2.44, p = 0.006) participants (interaction not significant, p = 0.217). Paternal history of dementia was not associated with the risk of AD in either male (OR = 0.94, 95% CI = 0.37 – 2.40, p = 0.894) or female (OR =1.71, 95% CI = 0.94 – 3.09, p = 0.077) participants (interaction not significant, p = 0.458).
Table 4.
Number of participants | Risk of dementia* | Risk of AD† | Risk of VaD† | Risk of OD† | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Control | Dementia | AD | VaD | OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | p | OR | 95% CI | p | |
APOE ε4 unadjusted‡ | ||||||||||||||||
Paternal | ||||||||||||||||
No | 15860 | 835 | 586 | 152 | 1.00 | 1.00 | 1.00 | 1.00 | ||||||||
Yes | 473 | 26 | 19 | 4 | 1.35 | 0.88–2.07 | 0.173 | 1.45 | 0.88–2.38 | 0.144 | 1.07 | 0.39–2.95 | 0.898 | 1.22 | 0.38–3.95 | 0.739 |
Maternal | ||||||||||||||||
No | 15069 | 787 | 545 | 147 | 1.00 | 1.00 | 1.00 | 1.00 | ||||||||
Yes | 1264 | 74 | 60 | 9 | 1.51 | 1.15–1.97 | 0.003 | 1.80 | 1.33–2.43 | <0.001 | 1.02 | 0.51–2.03 | 0.966 | 0.76 | 0.31–1.90 | 0.559 |
APOE ε4 adjusted§ | ||||||||||||||||
Paternal | ||||||||||||||||
No | 8721 | 392 | 276 | 65 | 1.00 | 1.00 | - | 1.00 | ||||||||
Yes | 272 | 12 | 10 | 0 | 1.20 | 0.64–2.25 | 0.561 | 1.50 | 0.75–2.98 | 0.252 | - | - | - | 1.38 | 0.32–5.94 | 0.663 |
Maternal | ||||||||||||||||
No | 8157 | 366 | 251 | 63 | 1.00 | 1.00 | 1.00 | 1.00 | ||||||||
Yes | 836 | 38 | 35 | 2 | 1.19 | 0.82–1.72 | 0.361 | 1.64 | 1.10–2.44 | 0.014 | 0.37 | 0.09–1.54 | 0.171 | 0.22 | 0.03–1.57 | 0.130 |
OR, odds ratio; CI, confidence intervals; AD, Alzheimer’s disease; VaD, Vascular dementia; OD, Other dementia
The risk of paternal history of dementia on the risk of VaD could not be estimated because there was no vascular dementia patients with parental history of dementia
binary logistic regression analyses
multinomial logistic regression analyses
adjusted for age, educational level, hypertension, diabetes mellitus and cohort as covariates
adjusted for age, educational level, hypertension, diabetes mellitus, cohort and the presence of APOE ε4 allele as covariates
Supplementary table 1 shows the distribution of ORs and 95% CIs for each cohort. For the association between maternal history of dementia and the risk of AD, the restricted maximum likelihood method found no significant heterogeneity between studies (I2 = 0.0%; H = 0.943; Tau2 = 0; Cochran’s Q = 6.94; P = 0.543). Sensitivity analyses omitting one study at a time produced no statistically significant changes in the above results (Supplementary table 2). After excluding studies with a prevalence of parental history lower than 10.2% (Invece.Ab, KLOSCAD, and ZARADEMP), the association of maternal history of dementia with AD risk remained significant (OR = 2.16, 95% CI = 1.52 – 3.07, p < 0.001). In another sensitivity analysis adjusting for ethnicity, the association between maternal history of dementia and risk of AD remained significant (OR = 1.97, 95% CI = 1.36 – 2.87, p < 0.001) (interaction not significant, p = 0.406).
DISCUSSION
With cross-sectional analysis of data for over 17,000 community-dwelling older adults from nine population-based cohort studies, we found that maternal history of dementia was associated with an increased risk of AD in both males and females. These results remained significant after adjusting for the presence of an APOE ε4 allele.
Previous studies into the association between parental history of dementia and the risk of dementia or AD have produced mixed results. The association between parental history of dementia and the risk of dementia and AD were reported in a case-control study (Relative risk [RR] for AD = 2.3, 95% CI = 1.8 – 3.1),12 a prospective cohort study (Hazard ratio [HR] for dementia = 1.67, 95% CI = 1.12 – 2.48 and HR for AD = 2.01, 95% CI = 1.27 – 3.18),2 and a large claim-based study (RR for AD = 1.73, 95% CI = 1.59 – 1.87).11 The excess risks of dementia and AD with parental history of dementia in the current study are comparable to estimates from previous studies reporting significant association. However, there was no significant association between parental history of dementia and the risks of dementia and AD in a case-control study from Washington14 and in a prospective study from Stockholm.15 Both studies that failed to find a significant association may have been limited by small sample sizes and small number of AD cases.
The increase in the risk of dementia associated with parental history of dementia we found was largely due to an increase in the risk of AD. Parental history of dementia increased the risk of AD by around 1.7 times, but there was no association with the risk of non-AD, including VaD. In terms of heritability, this could reflect the likelihood of parental dementia being AD rather than another subtype.42,43 In addition, the heritability of AD is reportedly higher than the heritability of VaD, which is the most prevalent dementia subtype other than AD.1,16,42,43
We found that maternal, but not paternal, history of dementia increased the risk of AD, which is in line with previous family studies.17,18,44–46 Among individuals with AD and a family history of dementia, the ratio of mothers to fathers with dementia was previously found to be from 1.8 to 3.8.17,44–46 The ratio of 3.2 in the current study is consistent with this. However, epidemiological studies have found that paternal history of dementia also increased the risk of AD. A study of 2.7 million individuals on the Utah Population Database and with linked death certificates reported that both maternal and paternal histories of dementia were associated with the risk of AD.11 Despite its large sample size, that claim-based study may have missed many individuals with AD when not indicated in the death certificate and potential confounding factors were not controlled for. Another study from a population-based cohort also found that not only maternal but also paternal history of dementia increased the risk of AD.2 However, the results have limited generalizability given the study population was from a single district of one city, was of a relatively small sample size, comprised a single ethnicity, and had an unusually high frequency of parental history of dementia (19.6%). By analyzing the pooled data of heterogenous population-based cohorts, the current study may provide more reliable evidence for the heritability of AD being different by the sex of parents.
There are possible explanations for why maternal transmission of AD seems to be more frequent and stronger than paternal transmission of AD. Compared to cognitively normal individuals with a paternal history of AD, cognitively normal individuals with a maternal history of dementia or AD are reported to show higher and more widespread 11C-Pittsburgh Compound B retention,19 lower amyloid beta 42/40 ratio,20,21 higher cerebrospinal fluid tau/Aβ ratio,21 lower gray matter volume in the parietal cortex22 and reduced glucose metabolism on FDG-PET.23 Further, some genetic variants associated with the risk of AD, such as genetic variation in mitochondrial DNA,47 PCDH11X on X chromosome,48 and imprinted genes49 are maternally inherited or imprinted, and mothers are more likely than fathers to share AD risk factors with their children.5,50,51
Our results indicate that the risk of AD associated with maternal history of dementia was comparable between sons and daughters. Previous studies have shown that the association between history of dementia in parents2 or first degree relatives11 and risk of dementia was comparable for males and females. There is evidence suggesting that among individuals with the APOE ε3/ε4 genotype, females are 1.5 times more likely than males to develop AD,52 and it is thus imporant that we controlled for APOE genotype when doing separate analyses for males and females. Not all previous strudies have done this.
In the current study, the prevalence of parental history of dementia was 10.2% across all participants, though ranged widely across cohorts from 6.4% in ZARADEMP to 25.8% in H70. This large difference in the parental history of dementia could be attributed to information bias. Recall bias is particularly important to consider because parental history of dementia were self-reported by participants and/or their legal guardians, the accuracy of which has been reported to be 84%.53 Further, the participants that indicated ‘no parental history of dementia’ might have had parents with undiagnosed dementia, given that more than 60% of people with dementia are undiagnosed in the community.54 Selection bias should also be considered because 11.7% of participants were excluded due to missing data. Even so, the association between parental history of dementia and the risk of AD showed a similar tendency in each cohort, and remained significant with sensitivity analysis in which single studies were omitted one by one or studies with lower-than-average prevalence of parental history of dementia were excluded. Our sensitivity analyses supported the linkage of dementia among parents with risk in offspring. There is a need for a further prospective cohort study, based on representative samples, that accurately ascertains dementia cases in both parents and offspring using precise diagnostic information.
Our study has several limitations. First, the ages of onset or diagnosis of dementia and the longevity of parents were not available in the current study. Therefore, sex differences in longevity might have influenced the differential association of dementia risk with the maternal and paternal history of dementia. Second, we did not have data on the dementia subtype of parents. Third, potential differences in health seeking behaviors and aknowledgement of cognitive problems between male and female might have differentially influenced the chance to be diagnosed with dementia between mothers and fathers. Fourth, potential confounding variables other than sex, education, hypertension, DM, and APOE genotype could not be controlled because they were evaluated only in some studies. Fifth, moderate to severe offspring dementia might have been underrepresented because all participants were community-dwelling.
To conclude, the maternal history of dementia increases the risk of AD in both male and female. Maternal history of dementia may be a useful marker for identifying individuals at higher risk of AD and stratifying participants in clinical trials.
Supplementary Material
Acknowledgements
COSMIC management: The head of COSMIC is Perminder S. Sachdev, and the Study Co-Ordinator is Darren M. Lipnicki. The Research Scientific Committee leads the scientific agenda of COSMIC and provides ongoing support and governance; it is comprised of member study leaders (in alphabetical order): Kaarin Anstey, Carol Brayne, Henry Brodaty, Liang-Kung Chen, Erico Costa, Michael Crowe, Oscar Del Brutto, Ding Ding, Jacqueline Dominguez, Mary Ganguli, Antonio Guaita, Maëlenn Guerchet, Oye Gureje, Jacobijn Gussekloo, Mary Haan, Hugh Hendrie, Ann Hever, Ki-Woong Kim, Seb Koehler, Murali Krishna, Linda Lam, Bagher Larijani, Richard Lipton, Juan Llibre-Rodriguez, Antonio Lobo, Richard Mayeux, Kenichi Meguro, Vincent Mubangizi, Toshiharu Ninimiya, Stella-Maria Paddick, Maria Skaalum Petersen, Ng Tze Pin, Steffi Riedel-Heller, Karen Ritchie, Kenneth Rockwood, Nikolaos Scarmeas, Marcia Scazufca, Suzana Shahar, Xiao Shifu, Kumagai Shuzo, Ingmar Skoog, Yuda Turana.
Additional member study leaders: Marie-Laure Ancelin, Mindy Katz, Martin van Boxtel, Iraj Nabipour, Pierre-Marie Preux, Perminder Sachdev, Nicole Schupf, Richard Walker.
COSMIC NIH grant investigators: Perminder Sachdev: Scientia Professor of Neuropsychiatry; Co-Director, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney; Director, Neuropsychiatric Institute, Prince of Wales Hospital, Sydney, Australia. Mary Ganguli: Professor of Psychiatry, Neurology, and Epidemiology, University of Pittsburgh. Ronald Petersen: Professor of Neurology; Director, Mayo Clinic Alzheimer’s Disease Research Center and the Mayo Clinic Study of Aging. Richard Lipton: Edwin S. Lowe Professor and Vice Chair of Neurology, Albert Einstein College of Medicine. Karen Ritchie: Professor and Director of the Neuropsychiatry Research Unit of the French National Institute of Research (INSERM U1061). Ki-Woong Kim: Professor of Brain and Cognitive Sciences, Director of National Institute of Dementia of Korea. Louisa Jorm: Director, Centre for Big Data Research in Health and Professor, Faculty of Medicine, UNSW Sydney, Australia. Henry Brodaty: Scientia Professor of Ageing & Mental Health; Co-Director, Centre for Healthy Brain Ageing (CHeBA), UNSW Sydney; Director, Dementia Collaborative Research Centre (DCRC); Senior Consultant, Old Age Psychiatry, Prince of Wales Hospital.
The authors thank Division of Statistics in Medical Research Collaborating Center at Seoul National University Bundang Hospital for statistical analyses.
Funding
Funding for COSMIC comes from the National Institute on Aging of the National Institutes of Health under Award Number RF1AG057531. Funding for the contributing studies is as follows:
CHAS: the Wellcome Trust Foundation (GR066133 and GR08002) and the Cuban Ministry of Public Health;
H70: The study was financed by grants from the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement (ALF 716681, ALF 72660), Stena Foundation, Swedish Research Council (11267, 2005-8460, 2007-7462, 2012-5041, 2015-02830, 2019-01096, 2013-8717, NEAR 2017-00639), Swedish Research Council for Health, Working Life and Welfare (2004-0145, 2006-0596, 2008-1111, 2010-0870, 2013-1202, 2018-00471, 2001-2646, 2003-0234, 2004-0150, 2006-0020, 2008-1229, 2012-1138, AGECAP 2013-2300, 2013-2496), Konung Gustaf V:s och Drottning Victorias Frimurarestiftelse, Hjärnfonden (FO2014-0207, FO2016-0214, FO2018-0214, FO2019-0163) Alzheimerfonden (AF-967865), Eivind och Elsa K:son Sylvans stiftelse, The Alzheimer’s Association Zenith Award (ZEN-01-3151), The Alzheimer’s Association Stephanie B. Overstreet Scholars (IIRG-00-2159), The Bank of Sweden Tercentenary Foundation, Stiftelsen Söderström-Königska Sjukhemmet, Stiftelsen för Gamla Tjänarinnor, Handlanden Hjalmar Svenssons Forskningsfond (HJSV2022059).
HELIAD: IIRG-09133014 from the Alzheimer’s Association; 189 10276/8/9/2011 from the ESPA-EU program Excellence Grant (ARISTEIA), which is co-funded by the European Social Fund and Greek National resources, and ΔΥ2β/οικ.51657/14.4.2009 from the Ministry for Health and Social Solidarity (Greece);
Invece.Ab: Funded by the “Federazione Alzheimer Italia”, the largest Italian association of people with dementia and their families, and from own funds of the Golgi Cenci Foundation.
KLOSCAD: the Korean Health Technology R&D Project, Ministry of Health and Welfare, Republic of Korea [Grant No. HI09C1379 (A092077)];
LEILA75+: the Interdisciplinary Centre for Clinical Research at the University of Leipzig (Interdisziplinäres Zentrum für Klinische Forschung/IZKF; grant 01KS9504);
MAS: MAS cohort was supported by National Health and Medical Research Council (NHMRC) Australia Project Program Grants ID350833, ID568969 and ID1093083. We thank the participants and their informants for their time and generosity in contributing to this research. We also acknowledge the MAS research team: https://cheba.unsw.edu.au/research-projects/sydney-memory-and-ageing-study
MMAP: Supported by grants from the Department of Science and Technology - Philippine Council for Health Research and Development (FP-09011) and St. Luke’s Medical Center - Research and Biotechnology Division (No. 09-010).
PATH: KJA is supported by Australian Research Council Fellowship FL190100011. The PATH Through Life Study was funded by NHMRC Grants (No. 973302, 179839, 418039, 1002160).
ZARADEMP: Supported by Grants from the Fondo deInvestigaciónSanitaria, Instituto de Salud Carlos III, Spanish Ministry of Economy and Competitiveness, Madrid, Spain (grants 94/1562, 97/1321E, 98/0103, 01/0255, 03/0815, 06/0617, G03/128) and from the Fondo Europeo de Desarrollo Regional (FEDER) of the European Union and Gobierno de Aragón (grant B15_17R).
The sponsors were not involved in the design and conduct of the study; collection, management, analysis, and interpretation of the data; preparation, review, or approval of the manuscript; or decision to submit the manuscript for publication. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health or other funders.
Footnotes
Competing interests
All authors declare no competing financial interests.
Supporting information
Supplementary table 1. Separate analyses for every single cohort
Supplementary table 2. Sensitivity analysis leaving one out at a time
Availability of data and materials
KWK had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
KWK had full access to all the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis. The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.