Skip to main content

Consanguinity, complex diseases and congenital disabilities in the Souss population (Southern Morocco): a cross-sectional survey

Abstract

Background

Several studies showed that the perpetuation of consanguinity increases homozygosity and homogenizes the population's gene pool. This allows the expression of recessive deleterious mutations and increases the prevalence of genetic disorders and birth defects. Despite the reported negative health effects, consanguinity is still practiced in Morocco. This study aimed to evaluate the prevalence and socio-demographic determinants of consanguinity in the Souss region and to assess the association of this type of union with congenital disabilities and complex diseases. To meet this aim, a survey based on a cross-sectional approach was conducted between January 2019 and January 2020 among 520 randomly selected participants in the Souss region.

Results

The findings revealed a high prevalence of consanguinity of 28.46%, with first-cousin unions accounting for 16.15% of all marriages. According to multivariate logistic regression analysis, early age at first marriage, men’s occupation, endogamy, and parental consanguinity were predictive factors for consanguineous unions in the study population. Moreover, the results revealed a significant association between consanguinity and the incidence of physical disabilities (OR = 3.753; [95% CI 1.398–10.074]), mental retardation (OR = 5.219; [95% CI 1.545–17.631]), deafness-mutism (OR = 4.262; [95% CI 1.004–18.089]) and cardiovascular diseases (OR = 2.167; [95% CI 1.036–4.530]). However, no significant association was found between consanguinity and diabetes, cancer, asthma, epilepsy, and psychiatric disorders.

Conclusion

Overall, our results suggest a high practice of consanguinity in the Souss population, associated with social, economic, and cultural factors. Consanguineous unions were associated with a high incidence of mental retardation, physical disabilities, deafness-mutism, and cardiovascular diseases. In this population, where marriage between relatives is highly preferred, awareness programs are not sufficient, and genetic studies on consanguinity-related diseases are necessary to provide specific premarital screening and thus increase the efficiency of genetic counseling.

Background

Consanguinity is a particular pattern of matrimonial behavior consisting of the union between two closely related individuals. From a medical genetics perspective, consanguinity is defined as a union between second cousins or closer with an inbreeding coefficient greater than or equal to 0.0156 [1].

Consanguinity is practiced by up to 10% of the global population, with rates ranging from 80.6% in certain Middle Eastern provinces to less than 1% in Western societies [2]. The prevalence of consanguineous unions differ by region and is fundamentally conditioned by several socio-demographic factors, including social status, education level, religious affiliation, size and location of the area, rural–urban environment, and parental consanguinity [3,4,5].

Since the twentieth century, increasing industrialization, improved communications, and urbanization have led to an overall decrease in consanguinity [6]. However, an opposite trend was observed in some Middle Eastern and North African countries where consanguinity accounted for 20–52% of total marriages [7].

The long-term practice of consanguinity leads to the homogenization of the population's gene pool. As a result, individuals accumulate homologous chromosomal sequences, increasing homozygosity and, consequently, the expression of some recessive genes [8]. Moreover, as many recessive alleles in populations are harmful to health, consanguinity increases the risk of mortality and congenital, chronic, and infectious diseases [9].

These conclusions are supported by extensive epidemiological studies that highlight the significant influence of consanguinity on children's health, especially within highly consanguineous communities [5]. Thus, associations between consanguinity and a wide range of conditions and diseases have been well-established. Notable examples include Intellectual Disability [10], congenital anomalies [11], non-communicable diseases [12], genetic predisposition to infectious diseases [13], and primary immunodeficiencies [14].

Moreover, the impact of consanguinity on survival has been reported in various studies, highlighting its association with increased progeny mortality [15] and the occurrence of spontaneous abortions [16].

Despite multiple studies documenting the frequency of consanguineous marriages in Morocco, the southern populations have not received sufficient attention. The few studies that have been conducted were based on a single center (sampling site) and focused on a limited number of matrimonial determinants. We attempt to fill this gap in our study by estimating the prevalence of consanguinity in the Souss region, its evolution, and its interaction with socio-demographic factors. Unlike prior research, we collected data from 13 tribes and introduced additional determinants of consanguineous unions, including geographical factors (tribal and village endogamy), inheritance, and the evolution of consanguinity. We also assessed the effects of consanguinity on complex diseases and congenital disabilities.

Methods

Study population

The Souss region was historically part of the Souss Al-Aqsa, which extended from the Mediterranean coasts to the Saharan border before becoming the territory of the Berber tribes in Southern Morocco [17]. The Current Souss region refers to the 46,640.7 km2 territory surrounded by the High Atlas to the north, the Sahara to the south, the Atlantic to the west, and the Algerian border to the east [18, 19]. The region was officially part of the South Economic Zone until 1997, when it was separated into two administrative zones [20]. Currently, the region includes seven provinces and prefectures belonging to two administrative zones, notably Souss-Massa (Chtouka-Ait Baha, Taroudant, Tata, Tiznit, Agadir-Ida Outanane, and Inezgane-Ait Melloul) and Guelmim Oued Noun (Sidi Ifni) (Fig. 1).

Fig. 1
figure 1

Administrative organization of the Souss region (prefectures and provinces)

In terms of origin, ancient demographic events have created a diverse population mainly composed of Berber, Arab and sub-Saharan African elements [21, 22]. In addition to ethnic diversity, several cultural and social features characterize this population, such as tribal solidarity and matrimonial traditions.

Study design and collection data

Study design

A cross-sectional study was conducted in the Souss region between January 2019 and January 2020 to determine the impact of consanguineous marriages on offspring health.

Sampling method

Based on the administrative division of the region, a two-stage stratified sampling design was carried out. Due to limited access to the provinces of Chtouka-Ait Baha and Taroudant, only five prefectures and provinces were surveyed (Sidi Ifni, Tata, Tiznit, Agadir-Ida Outanane, and Inezgane-Ait Melloul). First, the number of tribes in each province and prefecture was defined. It was found that there are 45 tribes in total (12 in Sidi Ifni, eight in Tata, 21 in Tiznit, three in Agadir-Ida Outanane, and one in Inezgane-Ait Melloul). Subsequently, it was decided to select a sample of 25% of the tribes, giving equal representation to each administrative region (three tribes from Sidi Ifni, two tribes from Tata, six tribes from Tiznit, one tribe from Agadir-Ida Outanane, and one tribe from Inezgane-Ait Melloul). Finally, 50 individuals were randomly selected from each tribe for face-to-face interviews, making an initial sample size of 650. However, only 520 individuals agreed to participate, while the remaining subjects were excluded because some refused to participate and others provided incomplete questionnaires.

Subject recruitment

We recruited a total of 520 participants (200 men and 320 women) who gave informed consent to participate in this study. We selected these participants according to the following criteria: ever-married individuals aged 18 years or older and residing within the study region. We excluded individuals under 18 years of age, those who had never been married and temporary visitors to the study region.

Data collection method

The subjects were approached through a house-to-house survey. During face-to-face interviews in the local languages (Arabic-Berber), participants were asked to provide information on their own and their partner's socio-demographic characteristics, such as degree of education, occupation, place of birth (tribe and village/town), age at first marriage, birth environment (urban/rural), and first marriage contraction year. The degree of relationship between couples was noted, as well as whether the participants' parents were related to each other. Data were also collected on the occurrence of diseases and disabilities among the participants' offspring, including complex diseases (cardiovascular diseases, diabetes, cancer, asthma and psychiatric disorders), congenital disabilities (mental retardation, deaf-mute, blindness, physical disability), and infectious diseases.

In order to minimize misreporting and omissions, we combined collective (familial) and individual interviews. In addition, the household interview gave us the opportunity to access medical resources, including family health records, prescriptions and medication orders.

Data analysis

To assess population attitudes toward consanguinity, we calculated consanguinity rates and inbreeding coefficients. We divided unions into six categories according to the degree of consanguinity: Double first cousins (F = 0.125), first cousins (F = 0.0625), first cousins once removed (F = 0.0313), Second cousins (F = 0.0156), Distant cousins (F< 0.0156), and no relation (F = 0). The mean inbreeding coefficient (σ) was obtained by applying the formula [23]:

$$\sigma \, = \, \Sigma {\text{PiFi}}$$

Pi is the proportion of each category of consanguineous marriage and Fi is the corresponding inbreeding coefficient.

The consanguinity coefficient includes unions between second cousins or closer (F ≥ 0.0156). This limit is explained by the low biological effect of an inbreeding coefficient below 0.0156, which is comparable to that observed in the general population [9].

The association between socio-demographic variables and consanguinity was measured using a standard χ2 test for categorical data and an independent samples t-test for continuous-level data.

Adjusted Odds Ratios (OR), along with their corresponding 95% confidence intervals (CI), were calculated for each predictor variable using multivariate logistic regression analysis. This analysis tested the association of each factor with consanguinity while controlling for the effects of other predictors. Odds ratios (95% confidence intervals) were also calculated for the likelihood of diseases by consanguinity status in the participant's offspring. p-values less than 0.05 were considered statistically significant.

Results

Prevalence of consanguinity in the Souss region

The prevalence, coefficients and types of consanguinity in the Souss population are presented in Table 1. The global rate of consanguinity was 28.46%, with a mean Inbreeding coefficient of 0.0117. First cousin unions are the most common type of consanguineous unions, which constituted 16.15% of all marriages. Also, the parallel patrilateral pattern (Type I) was the most common in first cousin unions, representing 6.15% of all marriages.

Table 1 Distribution of different types of marriages in the Souss population

Socio-demographic determinants of consanguineous marriages

Table 2 summarizes the socio-demographic determinants associated with matrimonial behavior among the Souss population. A statistically significant difference was found between consanguineous and non-consanguineous couples according to age at first marriage, men’s education, men’s occupation, geographical endogamy, and parental consanguinity. For women, consanguinity is more frequent in marriages contracted below the age of 23 (p < 0.011). The average age at first marriage is significantly lower (p < 0.001) in consanguineous unions than in non-consanguineous unions, being 19.84 ± 0.380 and 21.34 ± 0.317, respectively. For men, age at first marriage between 23 and 28 is the most frequent in consanguineous unions (p < 0.001). The average age at first marriage in consanguineous unions is 27.16 ± 0.514, while it is 29.81 ± 0.487 for non-consanguineous unions (p < 0.001).

Table 2 Associations between socio-demographic factors and consanguinity in the Souss population (N = 520)

Regarding the birth environment (urban versus rural), for both genders, there is no statistically significant difference between consanguineous and non-consanguineous unions (p > 0.05). This result reflects the predominant rural origin of the studied population.

Men's education level was significantly associated with consanguinity (p < 0.001). Primary and Quranic pre-school educations were the most frequent among consanguineous unions. For women, there was no statistically significant association between consanguinity and education level (p > 0.05). Actually, illiteracy is the predominant feature in the study population, especially among women (421 out of 520 women).

Men's professional status is highly associated with consanguinity (p < 0.001), with a high prevalence of commercial activity among consanguineous couples.

Geographical endogamy based on birthplace, both at the tribal and village level, was significantly associated with consanguinity (p < 0.001). The involvement in consanguineous unions was found to be significantly correlated with parental consanguinity (p < 0.001). In other words, participants born of consanguineous unions tend to reproduce the same pattern as their parents.

The evolution of consanguinity, based on marriage contraction year, was not significant (p > 0.05), which confirms the attachment of the descendants to their parental matrimonial behavior.

The results of the multivariate logistic regression analysis are summarized in Table 3. The age at first marriage was found to be a significant predictor of consanguinity for both genders. For men, marrying between 23 and 28 increased the likelihood of consanguineous marriage by 1.99 times more than marrying at 29 and above (OR = 1.993; [95% CI 1.193–3.329]). Similarly, women who marry below the age of 23 have a significantly higher probability of being involved in consanguineous unions, with odds ratios of 3.478 (95% CI 1.255–9.636) and 2.863 (95% CI 1.127–7.270).

Table 3 Multivariate logistic regression analysis of socio-demographic factors associated with consanguinity in the Souss population

Based on our findings, the husband's professional status had a significantly higher impact on consanguinity than his educational level. Indeed, men who work in commercial fields are more likely to marry within their family (OR = 2.250; [95% CI 1.170–4.327]).

As regards the couples' birthplace (geographical endogamy), village endogamy appears to be a more significant matrimonial determinant than tribal endogamy. Indeed, couples with the same village/town of birth are 4.96 times more likely to be engaged in consanguineous marriages (OR = 4.960 [95% CI 2.824–8.713]). In addition, the likelihood of consanguinity among couples is 2.47 times higher when their parents are consanguineous (OR = 2.460 [95% CI 1.464–4.135]).

Biological effects of consanguinity on offspring health

To assess the impact of consanguinity on offspring health, we excluded 46 couples from our study. Specifically, we omitted couples without children, either because their marriages were recent compared to the survey period or because they involved women of advanced age.

Table 4 displays the inbreeding coefficients as well as the rates of different disease categories in the offspring of the studied couples. According to our findings, the inbreeding coefficient differed significantly between the three disease groups. The highest coefficient is observed in the category of congenital disabilities (0.0330538), followed by complex diseases (0.0252805), and infectious diseases (0.0072933). Similarly, diseased consanguineous offspring decreased from 67.31% for congenital disabilities to 47.15% and 20% for complex and infectious diseases, respectively.

Table 4 Rates and inbreeding coefficients of different disease categories in offspring

The prevalence of common diseases among the offspring of consanguineous and non-consanguineous couples is presented in Table 5. The results show that offspring of consanguineous unions have a significantly higher risk of congenital disabilities than their non-consanguineous counterparts. This applies particularly to mental retardation (OR = 5.219; [95% CI 1.545–17.631]; p = 0.008), physical disability (OR = 3.753; [95% CI 1.398–10.074]; p = 0.009), and deafness-mutism (OR = 4.262; [95% CI 1.004–18.089]; p = 0.049). For complex diseases, the risk of cardiovascular disorders was significantly higher in the offspring of consanguineous than non-consanguineous couples (OR = 2.167; [95% CI 1.036–4.530]; p = 0.040). Other complex diseases (diabetes, cancer, bronchial asthma, epilepsy and psychiatric disorders) were more common in non-consanguineous marriages.

Table 5 Prevalence of common diseases among offspring of consanguineous and non-consanguineous couples

Discussion

Prevalence of consanguinity in the Souss region

Consanguinity in the Souss population was estimated at 28.46%, which was significantly higher than the reported national rate (23.4%) [24]. However, the prevalence of consanguineous unions in Morocco differs across regions. Higher levels were reported in the Middle Atlas and Tiflet areas, reaching 30.32% and 38.90%, respectively [25, 26]. Other studies conducted in Chaouia (25.38%), Tetouan (23.7%), and Doukkala (26.56%) revealed lower levels of consanguinity compared to our region [16, 27, 28].

Other studies in North African and Asian Muslim populations, such as Algeria, Tunisia, Egypt, Jordan, Oman and Pakistan [29,30,31,32,33,34] revealed higher prevalence of consanguinity compared to our region. In fact, the perpetuation of consanguinity at such frequencies could be justified by its social, cultural, and economic benefits. In Arab-Muslim societies, consanguineous marriages maintain family structure, stability, and property preservation [7, 35]. Other benefits include reduced marriage costs and dowry payments [7, 35].

The mean inbreeding coefficient reported in our study is 0.0117, with a preference for first-cousin unions, particularly the patrilateral parallel type (the father's brother's daughter). The same pattern was reported in other Muslim communities in North Africa [27, 29, 35] and Asia [5, 31, 36]. This preference could be justified by pre-Islamic Arab tradition and Quranic provisions allowing women to inherit wealth [7].

Socio-demographic determinants of consanguineous marriages

Consanguinity and age at first marriage

In our study, the proportion of women who marry before age 23 was significantly higher than that of their late-marrying counterparts. This observation supports previous studies finding a significant relationship between early age at marriage and consanguinity [16, 36, 37]. On the other hand, men have a significantly higher likelihood (1.99 times) of contracting consanguineous unions between the ages of 23 and 28. However, Moussouni's study showed that for this age bracket, individuals are more likely to choose an unrelated partner than a close cousin [38].

Indeed, convinced by the tolerance and flexibility of young brides, Moroccan families marry their daughters at a young age [39]. However, this behavior has a negative impact on women since they marry before reaching emotional maturity [40].

Consanguinity and birth environment (Rural/ Urban)

In this study, there was no statistically significant difference in the frequency of consanguineous marriages between urban and rural birthplaces. The same observation was reported by Kaplan et al., in Turkey [36]. However, previous studies revealed significantly higher rates of consanguinity among couples of rural origin [16, 33, 35, 37]. The main explanation for our findings was the predominance of rural origin among couples. This situation resulted from the rural exodus (from rural areas) fostered by urbanization and regional climate changes [41]. However, the cultural and social values of the birth environment are so embedded in the individuals' subconscious that they reproduce them through their behavior [8]. A striking example was the high rate of consanguinity reported among descendants of Pakistani immigrants in the UK [42]. Thus, in our region, the influence of the birth environment on consanguinity will become evident in the future generation, especially in the degree of attachment to parental traditions.

Consanguinity and husband’s occupation status

In contrast to several studies reporting a significant relationship between agricultural occupations and consanguinity [11, 16, 33, 43], this study found a higher probability for men working in commerce to be involved in consanguineous unions. Another study in Pakistan reported high levels of consanguinity among office workers and drivers [44].

Our observations support the previous hypothesis of rural exodus. Indeed, migration caused people to adapt to a different way of life, from agricultural to commercial occupations, while keeping their original cultural values. For his part, Jean Waterpoory has described the familial cohesiveness characterizing rural Soussi migrants who trade in metropolitan cities [45]. This solidarity is reminiscent of village cohesion, driven by the need to maintain family assets and sources of collective income [46].

Consanguinity and education level

In North African and Muslim communities, education level was a significant determinant of consanguinity [27, 31, 35, 36]. Indeed, social, economic, and cultural characteristics of the rural areas have contributed to a gender disparity in education. Our population is a striking example, with women being the most illiterate, while a significant proportion of men have received a basic education (primary or Quranic), allowing them to learn the fundamentals for their future occupation as traders. These elementary levels, however, do not provide knowledge of consanguinity and its repercussions. On the other hand, studies in Yemen and Tunisia have reported a high rate of consanguinity associated with higher levels of men's education [47, 48]. These facts illustrate the influence of familial and cultural pressures on future spouse selection, regardless of individuals' level of awareness [49].

Consanguinity and geographical endogamy

In Arab-Muslim communities, individuals express a sense of loyalty to their tribe, village, or clan, which is an extension of their patrilineal kinship [7]. Our population supports this thesis, with a high level of endogamy and a significant association between consanguinity and both tribal and village endogamy. Similarly, results reported in the Chaouia region recorded a high 3.29-fold probability for endogamous couples to be involved in consanguineous unions [16]. Indeed, regional and ethnic stratifications were considered factors increasing consanguinity, especially in small communities [50]. In our study, this fact could explain the higher incidence of consanguinity associated with village than tribal endogamy.

Parental consanguinity

In our study, parental consanguinity was associated with a higher likelihood of consanguineous unions. Other studies in northern Morocco, Algeria, Pakistan, and Qatar have reported similar results [27, 29, 33, 51]. These studies attest to the intergenerational transmission of consanguinity. Indeed, parents who are convinced by the success of their consanguineous marriage may encourage their offspring to reproduce the same pattern. Other studies have attributed the inheritance of this behavior to the offspring's loyalty to the cultural and familial values in which they were brought up [35, 51].

Evolution of consanguinity

To study the evolution of consanguinity in the Souss region, we considered periods referring to the country's demographic and economic history. The consanguinity levels recorded in this study do not differ significantly between marriage years, albeit decreasing after 1975. However, the practice of consanguinity in the Chaouia region, which experienced the same historical events, showed a significant decrease [16]. These results confirm our previous observations on environmental and familial influences. Indeed, attachment to parental and social values strongly impacts the level and evolution of consanguinity.

Biological effects of consanguinity on offspring health

Consanguinity and congenital disabilities

Numerous epidemiological studies have demonstrated the impact of consanguinity on children's health, particularly highly consanguineous communities [5]. Our study found a statistically significant difference in congenital disabilities based on consanguinity status, including mental retardation, physical disabilities, and deafness. Unfortunately, due to a lack of cases, we could not obtain information on blindness. However, other studies reported a significant association between consanguinity and both congenital and childhood blindness [52,53,54].

We recorded a significant risk of mental retardation in consanguineous offspring. Similar findings were reported in Tiflet (Morocco), Algeria, and Lebanon [25, 52, 55]. However, according to a Moroccan national study, the rate of consanguinity among patients with Down syndrome, which is one of the most common examples of gonadal non-disjunction, is relatively low at 15.25% [56]. On the other hand, previous studies have reported a high prevalence of intellectual disability and cognitive impairment in the progeny of consanguineous unions [10, 57].

Physical disabilities were the most common birth defects in consanguineous offspring (7.4%), with a 3.75-fold higher risk than in their non-consanguineous counterparts. Our results are consistent with two reported studies from Bangladesh and Lebanon, where consanguinity was associated with a high frequency of congenital anomalies [11, 52].

Furthermore, we found a statistically significant difference in sensory impairment, namely deafness-mutism, based on consanguinity status. Similarly, a Tunisian study reported a tenfold higher risk of deafness among consanguineous offspring than in their non-consanguineous counterparts [58].

Consanguinity and complex diseases

Of all the complex diseases studied, consanguinity was found to be a significant predictor only for cardiovascular conditions. No significant association was found between consanguinity and other diseases, including diabetes, cancer, bronchial asthma, epilepsy, and psychiatric disorders. However, in some studies conducted in Morocco, Qatar and Croatia, consanguinity was found to be associated with a wide range of non-communicable diseases, including epilepsy, asthma, leukemia, diabetes mellitus, cardiovascular disease, stroke, cancer, and uni/bipolar depression [12, 51, 59].

Our population displays a specific reproductive pattern, with a high prevalence of both consanguinity and endogamy. Through the cumulative effect of consanguinity, this pattern enriches the population gene pool with founder mutations inherited from a common ancestor [60]. Thus, the number of mutation carriers increases in extended families, resulting in high homozygosity [61]. This situation allows the appearance of recessive genetic disorders, including mental and physical disabilities [62].

Multiple studies analyzing genetic profiles of Moroccan populations have provided evidence supporting the previous conclusions. These studies have revealed an excess of homozygosity, which disrupts the genetic equilibrium. The authors attributed this phenomenon primarily to the high prevalence of consanguinity within these populations [63,64,65].

The environmental component contributes significantly to the incidence of non-communicable diseases, particularly complex and late-onset diseases. Indeed, the greater the impact of environmental factors, the more diluted the effect of consanguinity on disease incidence [66].

Our observations support this conclusion, revealing a noteworthy decrease in consanguinity coefficients as the likelihood of etiological environmental factors increases—shifting from congenital disabilities to infectious diseases. This suggests a diminished role of the genetic component, specifically in terms of homozygosity, in the disease's etiology. Our results highlight this trend, as non-consanguineous offspring demonstrate higher rates of non-communicable and infectious diseases, whereas consanguineous offspring predominantly manifest congenital disabilities.

In addition to non-genetic factors, the implication of common disease alleles in the gene pool, according to the common disease/common variant hypothesis, may reduce the influence of consanguinity on complex disorders [3].

In highly endogamous populations, the genetic intermingling between subpopulations (communities) is limited, resulting in intra-community genetic homogeneity [67]. This leads to the accumulation of homozygosity regardless of consanguinity status, in other words an increase in random consanguinity [3]. From an epidemiological and clinical perspective, population stratification can mask the health effects of consanguinity. In other words, endogamy causes an underestimation of morbidity and mortality associated with consanguinity [30].

Limitations

This study highlights the impact of consanguinity on congenital and complex diseases in the Souss region. However, there are several limitations. First, given the cross-sectional nature of the study, the causal relationship between consanguinity and disease was not clearly established. Furthermore, individuals are likely to have a recall bias when it comes to information about their couple, parents, or children. However, the participation of families in the collective interview, as well as the availability of documents due to our presence in the family's home, allowed us to reduce the recall bias. Additionally, the limited number of individuals with certain reported conditions may, in statistical terms, affect the generalizability of the findings.

Finally, the ancestral data are limited to participants' parents, particularly in relation to parental consanguinity (partners' parent’s data are not included). It should also be noted that there may be a bias regarding later-onset diseases, which can occur later in life for any individual (consanguineous and non-consanguineous), including cancers, cardiovascular diseases and diabetes. We have, however, made efforts to mitigate this bias to some extent by incorporating familial accounts of medical histories and ages of disease onset, taking advantage of our presence within the family household.

Conclusions

Based on the results presented and discussed above, we concluded that the population of Souss was not an exception to the Arab-Muslim communities in terms of high prevalence of consanguinity. This behavior was associated with socioeconomic and demographic factors, including early age of marriage, low level of education and endogamy.

This study highlighted the negative impact of consanguinity on health, including a high incidence of mental disorders, physical disabilities, deafness-mutism, and cardiovascular diseases. However, despite this fact, the population of the Souss region cannot be prevented from contracting such unions. On the one hand, parental influence on their offspring's marital choice contributes to the continuation of this behavior; on the other hand, the socioeconomic benefits provided by this type of marriage, mainly financial, emotional, and familial stability, encourage recent generations to opt for consanguineous unions.

In such a population scenario, the only possible interventions may be at two levels: awareness of the consequences of consanguinity and genetic counseling for related couples. Genetic screening tests will allow for the early detection of genetic disorders or malformations. Subsequently, this will provide early care for consanguineous children, enhancing, at the very least, their life expectancy and quality of life [5].

We are unable to make conclusions about possible solutions to this problem given to the cross-sectional design of this study. Our objective was to draw attention to the level of consanguinity in the Souss population and its impact on offspring health. In order to establish a clear causal relationship between consanguinity and disease, a genetic study based on an epidemiological survey would be necessary. To enhance the precision of our analysis, it is recommended to employ more specific methods, such as calculating the inbreeding coefficients derived from Runs of Homozygosity, commonly known as Froh. This method precisely quantifies both the proportion and length of homozygous segments in the genome. Utilizing such methods is essential to reduce the bias caused by random consanguinity in the stratified population [3].

Availability of data and materials

The data used to support the conclusions of this work are available upon request from the corresponding author.

References

  1. Bittles AH (2001) Consanguinity and its relevance to clinical genetics. Clin Genet. https://doi.org/10.1034/j.1399-0004.2001.600201.x

    Article  PubMed  Google Scholar 

  2. Oniya O, Neves K, Ahmed B, Konje JC (2019) A review of the reproductive consequences of consanguinity. Eur J Obstet Gynecol Reprod Biol. https://doi.org/10.1016/j.ejogrb.2018.10.042

    Article  PubMed  Google Scholar 

  3. Bittles AH, Black ML (2010) Consanguinity, human evolution, and complex diseases. Proc Natl Acad Sci 107(suppl 1):1779–1786

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  4. Hamamy H, Jamhawi L, Al-darawsheh J, AJlouni K, (2005) Consanguineous marriages in Jordan: why is the rate changing with time? Clin Genet. https://doi.org/10.1111/j.1399-0004.2005.00426.x

    Article  PubMed  Google Scholar 

  5. Bener A, Mohammad RR (2017) Global distribution of consanguinity and their impact on complex diseases: genetic disorders from an endogamous population. Egypt J Med Hum Genet. https://doi.org/10.1016/j.ejmhg.2017.01.002

    Article  Google Scholar 

  6. Varela TA, Lodeiro R, Farina J, Pena JA, Calo MC, Vona G (2003) Etude de la consanguinité et de ses effets. In: Suzanne C, Rebato E, Chiarelli B (eds) Anthropologie biologique: évolution et biologie humaine. De Boeck, Bruxelles, pp 381–393

    Google Scholar 

  7. Bittles AH, Hamamy HA (2010) Endogamy and consanguineous marriage in Arab populations. In: Teebi A (ed) Genetic disorders among Arab populations. Springer, Heidelberg, pp 85–108

    Chapter  Google Scholar 

  8. Talbi J, Khadmaoui A, Soulaymani A, Chafik A (2007) Etude de la consanguinité dans la population marocaine. Impact sur le profil de la santé. Antropo 15:1–11

    Google Scholar 

  9. Alvarez G, Quinteiro C, Ceballos FC (2011) Inbreeding and genetic disorder. In: Ikehara K (ed) Advances in the study of genetic disorders. InTech, Rijeka, pp 21–44

    Google Scholar 

  10. Benmakhlouf Y, Zian Z, Ben Makhlouf K, Ghailani Nourouti N, Barakat A, Bennani MM (2020) Intellectual disability in Morocco: a pilot study. Innov Clin Neurosci 17:9–13

    PubMed  PubMed Central  Google Scholar 

  11. Anwar S, TaslemMourosi J, Arafat Y, Hosen MJ (2020) Genetic and reproductive consequences of consanguineous marriage in Bangladesh. PLoS ONE. https://doi.org/10.1371/journal.pone.0241610

    Article  PubMed  PubMed Central  Google Scholar 

  12. Goundali KE, Bouab C, Rifqi L, Chebabe M, Hilali A (2022) Les mariages consanguins et leurs effets sur les maladies non transmissibles dans la population marocaine: étude transversal. Pan Afr Med J. https://doi.org/10.11604/pamj.2022.41.221.31273

    Article  PubMed  PubMed Central  Google Scholar 

  13. Romdhane L, Mezzi N, Hamdi Y, El-Kamah G, Barakat A, Abdelhak S (2019) Consanguinity and inbreeding in health and disease in North African populations. Annu Rev Genomics Hum Genet. https://doi.org/10.1146/annurev-genom-083118-014954

    Article  PubMed  Google Scholar 

  14. Barbouche MR, Mekki N, Ben-Ali M, Ben-Mustapha I (2017) Lessons from genetic studies of primary immunodeficiencies in a highly consanguineous population. Front Immunol. https://doi.org/10.3389/fimmu.2017.00737

    Article  PubMed  PubMed Central  Google Scholar 

  15. Islam MM (2013) Effects of consanguineous marriage on reproductive behaviour, adverse pregnancy outcomes, and offspring mortality in Oman. Ann Hum Biol 40(3):243–255. https://doi.org/10.3109/03014460.2012.761885

    Article  PubMed  Google Scholar 

  16. Cheffi K, Dahbi N, El Khair A, Stambouli H, Elbouri A, Talbi J et al (2022) Consanguinity in the Chaouia population (Morocco): prevalence, trends, determinants, fertility, and spontaneous abortions. Egypt J Med Hum Genet. https://doi.org/10.1186/s43042-022-00337-2

    Article  Google Scholar 

  17. Montagne R (1930) Les Berbères et le makhzen dans le sud du Maroc. Félix Alcan, Paris

    Google Scholar 

  18. Direction Régionale de Guelmim Oued-Noun (2020) Monographie Provinciale: Province de Sidi Ifni

  19. Direction Régionale de Souss Massa (2019) Monographie sur le secteur de l’habitat et de la politique de la ville de la région Souss Massa

  20. Badri L (2019) La décentralisation au Maroc: quelles perspectives pour la gouvernance locale et le développement territorial?:(Cas de la régionalisation avancée). [dissertation]. Grenoble Alpes University, Grenoble

  21. Handaine M (2008) Tamdoult, Histoire d’un carrefour de la civilisation maroco-touarégue. Bouregreg, Rabat

    Google Scholar 

  22. El Hamel C (2002) ‘Race’, slavery and Islam in Maghribi Mediterranean thought: the question of the Haratin in Morocco. J N Afr Stud. https://doi.org/10.1080/13629380208718472

    Article  Google Scholar 

  23. Bittles AH (2012) Consanguinity in context. Cambridge University Press, London

    Book  Google Scholar 

  24. Ministère de la Santé Maroc (2018) Enquête nationale sur la population et la santé familiale

  25. Abbad Z, Drissi A, Soulaymani A, Khadmaoui A, Oukarroum A (2016) Etude De L’impact De La Consanguinité Sur La Santé Des Descendants Dans La Population De Tiflet (Maroc). Eur Sci J. https://doi.org/10.19044/esj.2016.v12n15p143

    Article  Google Scholar 

  26. Cherkaoui M, Baali A, Larrouy G, Sevin A, Boëtsch G (2005) Consanguinity, fertility of couples and mortality of children in the high Atlas population (commons of Anougal and Azgour, Marrakesh, Morroco). Int J Anthropol. https://doi.org/10.1007/BF02443058

    Article  Google Scholar 

  27. Hajjaji M, Khadmaoui A, El Bakkali M (2020) Facteurs socioculturels influençant la transmission du mariage consanguin, en tant que rituel hérité, dans la province Tétouan (Maroc). Antropo 44:13–24

    Google Scholar 

  28. El Khair A, Dahbi N, Cheffi K, Talbi J, Hilali A, El Ossmani H (2023) Characterization of the consanguinity in the moroccan population of Doukkala. J Soc Sci. https://doi.org/10.3844/jssp.2023.15.21

    Article  Google Scholar 

  29. Bachir S, Aouar A (2019) Study of the impact of consanguinity on abortion and mortality in the population of Beni Abbes (southwestern Algeria). Egypt J Med Hum Genet. https://doi.org/10.1186/s43042-019-0004-7

    Article  Google Scholar 

  30. Ben Halim N, Ben AlayaBouafif N, Romdhane L, Kefi Ben Atig R, Chouchane I, Bouyacoub Y et al (2013) Consanguinity, endogamy, and genetic disorders in Tunisia. J Community Genet. https://doi.org/10.1007/s12687-012-0128-7

    Article  PubMed  Google Scholar 

  31. Islam MM, Ababneh FM, Khan MHR (2018) Consanguineous marriage in Jordan: an update. J Biosoc Sci. https://doi.org/10.1017/S0021932017000372

    Article  PubMed  Google Scholar 

  32. Mazharul IM (2016) Consanguineous marriage in Oman: understanding the community awareness about congenital effects of and attitude towards consanguineous marriage. Ann Hum Biol. https://doi.org/10.1080/03014460.2016.1224385

    Article  Google Scholar 

  33. Riaz HF, Mannan S, Malik S (2016) Consanguinity and its socio-biological parameters in Rahim yar Khan district, Southern Punjab, Pakistan. J Health Popul Nutr. https://doi.org/10.1186/s41043-016-0049-x

    Article  PubMed  PubMed Central  Google Scholar 

  34. Yamamah G, Abdel-Raouf E, Talaat A, Saad-Hussein A, Hamamy H, Meguid NA (2013) Prevalence of consanguineous marriages in South Sinai, Egypt. J Biosoc Sci. https://doi.org/10.1017/S002193201200020X

    Article  PubMed  Google Scholar 

  35. Shawky RM, El-Awady MY, Elsayed SM, Hamadan GE (2011) Consanguineous matings among Egyptian population. Egypt J Med Hum Genet. https://doi.org/10.1016/j.ejmhg.2011.07.001

    Article  Google Scholar 

  36. Kaplan S, Pinar G, Kaplan B, Aslantekin F, Karabulut E, Ayar B et al (2016) The prevalence of consanguineous marriages and affecting factors in Turkey: a national survey. J Biosoc Sci. https://doi.org/10.1017/S0021932016000055

    Article  PubMed  Google Scholar 

  37. Hami H, Soulaymani A, Mokhtari A (2009) Les Déterminants des Mariages Consanguins dans la Région de Rabat-Salé-Zemmour-Zaer (Maroc). Antropo 18:27–35

    Google Scholar 

  38. Moussouni A (2011) Etude Anthropo-biologique de la consanguinité sur les paramètres de fitness et de morbidité dans la population de Sabra dans l’Ouest Algérien. Etude comparative dans le bassin Méditerranéen. [dissertation]. Abou Bekr Belkaid University, Tlemcen

  39. Talbi J, Khadmaoui A, Soulaymani A, Chafik A (2006) Caractérisation du comportement matrimonial de la population marocaine. Antropo 13:57–67

    Google Scholar 

  40. Koc I (2008) Prevalence and socio-demographic correlates of consanguineous marriages in Turkey. J Biosoc Sci. https://doi.org/10.1017/S002193200700226X

    Article  PubMed  Google Scholar 

  41. Sabir M, Naimi M, Hossayni S (2021) Les aménagements agricoles de l’Anti-Atlas: De l’abandon aux risques de dégradation des sols et du patrimoine paysager. Moroccan J Agric Vet Sci 9:599–607

    Google Scholar 

  42. Shaw A (2000) Kinship, cultural preference, and immigration: consanguineous marriage among British Pakistanis. J R Anthropol Inst. https://doi.org/10.1111/1467-9655.00065

    Article  Google Scholar 

  43. Abbad Z, Ramdan R, Drissi A, Abdelmajid S, Khadmaoui A (2018) Tendances et déterminants des mariages consanguins dans la région de Tiflet (Nord-Ouest du Maroc)-Analyse conjointe (Régression logistique et Analyse des Correspondants Multiples). Antropo 39:35–47

    Google Scholar 

  44. Nazish J, Sajid M (2014) Consanguinity and its sociodemographic differentials in Bhimber district, Azad Jammu and Kashmir, Pakistan. J Health Popul Nutr 32:301–313

    Google Scholar 

  45. Waterbury J (1972) North for the trade: the life and times of a Berber merchant. University of California Press, Berkeley

    Book  Google Scholar 

  46. Khlat M (1986) Les mariages consanguins à Beyrouth: structure et conséquences biologiques. [dissertation]. University of Lyon, Lyon

  47. Jurdi R, Saxena PC (2003) The prevalence and correlates of consanguineous marriages in Yemen: similarities and contrasts with other Arab countries. J Biosoc Sci. https://doi.org/10.1017/S0021932003000014

    Article  PubMed  Google Scholar 

  48. Kerkeni E, Monastiri K, Saket B, Rudan D, Zgaga L, Ben CH (2006) Association among education level, occupation status, and consanguinity in Tunisia and Croatia. Croat Med J 47:656–661

    PubMed  PubMed Central  Google Scholar 

  49. M’rad LB, Chalbi N (2004) Le choix matrimonial en Tunisie est-il transmissible? Antropo 7:31–37

    Google Scholar 

  50. Pison G, Lathrop M (1982) Méthode statistique d’étude de l’endogamie. Application à l’étude du choix du conjoint chez les Peul Bandé. Population 37:513–542

    Article  Google Scholar 

  51. Bener A, Hussain R (2006) Consanguineous unions and child health in the State of Qatar. Paediatr Perinat Epidemiol. https://doi.org/10.1111/j.1365-3016.2006.00750.x

    Article  PubMed  Google Scholar 

  52. Kanaan ZM, Mahfouz R, Tamim H (2008) The prevalence of consanguineous marriages in an underserved area in Lebanon and its association with congenital anomalies. Genet Test. https://doi.org/10.1089/gte.2007.009

    Article  PubMed  Google Scholar 

  53. Dorairaj SK, Bandrakalli P, Shetty C, Misquith D, Ritch R (2008) Childhood blindness in a rural population of southern India: prevalence and etiology. Ophthalmic Epidemiol. https://doi.org/10.1080/09286580801977668

    Article  PubMed  Google Scholar 

  54. Kotb AA, Hammouda EF, Tabbara KF (2006) Childhood blindness at a school for the blind in Riyadh, Saudi Arabia. Ophthalmic Epidemiol. https://doi.org/10.1080/09286580500477317

    Article  PubMed  Google Scholar 

  55. Mokhtari R, Bagga A (2003) Consanguinity, genetic disorders and malformations in the Iranian population. Acta Biol Szeged 47:47–50

    Google Scholar 

  56. Rezayat AA, Nazarabadi MH, Andalibi MS, Ardabili HM, Shokri M, Mirzaie S, Jarahi L (2013) Down syndrome and consanguinity. J Res Med Sci 18(11):995–997

    PubMed  PubMed Central  Google Scholar 

  57. Latifi M, Soulaymani A, Ahami AOT, Mokhtari A, Aboussaleh Y, Rusinek S (2009) Comparaison des performances cognitives chez les adolescents consanguins et les non consanguins de la région nord Ouest marocain. Antropo 19:57–65

    Google Scholar 

  58. Ben Arab S, Masmoudi S, Beltaief N, Hachicha S, Ayadi H (2004) Consanguinity and endogamy in Northern Tunisia and its impact on non-syndromic deafness. Genet Epidemiol. https://doi.org/10.1002/gepi.10321

    Article  PubMed  Google Scholar 

  59. Rudan I, Rudan D, Campbell H, Carothers A, Wright A, Smolej-Narancicet N et al (2003) Inbreeding and risk of late-onset complex disease. J Med Genet. https://doi.org/10.1136/jmg.40.12.925

    Article  PubMed  PubMed Central  Google Scholar 

  60. Papponen H, Toppinen T, Baumann P, Myllylä V, Leisti J, Kuivaniemi H et al (1999) Founder mutations and the high prevalence of myotonia congenita in northern Finland. Neurology 53:297–302

    Article  CAS  PubMed  Google Scholar 

  61. Rajkumar R, Kashyap VK (2004) Genetic structure of four socioculturally diversified caste populations of southwest India and their affinity with related Indian and global groups. BMC Genet. https://doi.org/10.1186/1471-2156-5-23

    Article  PubMed  PubMed Central  Google Scholar 

  62. Teebi AS, Farag TI (1996) Genetic disorders among Arab populations. Oxford monographs on medical genetics 30. Oxford University Press, Oxford

    Google Scholar 

  63. Dahbi N, Cheffi K, El Khair A, Habbibeddine L, Talbi J, Hilali A, El Ossmani H (2023) Genetic characterization of the Berber-speaking population of Souss (Morocco) based on autosomal STRs. Mol Genet Genomic Med. https://doi.org/10.1002/mgg3.2156

    Article  PubMed  PubMed Central  Google Scholar 

  64. Cheffi K, El Khair A, Dahbi N, Talbi J, Hilali A, El Ossmani H (2023) Genetic analysis based on 15 autosomal short tandem repeats (STRs) in the Chaouia population western center Morocco and genetic relationships with worldwide populations. Mol Genet Genom 298(4):931–941. https://doi.org/10.1007/s00438-023-02028-y

    Article  CAS  Google Scholar 

  65. Ossmani HE, Talbi J, Bouchrif B, Chafik A (2009) Allele frequencies of 15 autosomal STR loci in the southern Morocco population with phylogenetic structure among worldwide populations. Legal Med. https://doi.org/10.1016/j.legalmed.2009.01.053

    Article  Google Scholar 

  66. Krieger H (1966) Inbreeding effects of northeastern Brazil. [dissertation]. University of Hawaii, Honolulu

  67. Bittles AH (2005) Endogamy, consanguinity and community disease profiles. Community Genet. https://doi.org/10.1159/000083332

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Not applicable.

Author information

Authors and Affiliations

Authors

Contributions

AH, HE and JT have contributed to the conception and design of the study, correction of the manuscript, and general supervision. KC, AE, and LH have participated in the fieldwork, data analysis, and interpretation. ND has contributed to the conception of the study, fieldwork, analysis and interpretation of data, and final drafting of the submitted manuscript.

Corresponding author

Correspondence to Noura Dahbi.

Ethics declarations

Ethics approval and consent to participate

Ethical approval for this study was obtained from the Biomedical Research Ethics Committee (CERBC) of the Faculty of Medicine and Pharmacy of Casablanca, in accordance with the standards of the Declaration of Helsinki (v.2008).

Consent for publication

Not applicable.

Competing interests

The authors have no Competing interests to declare regarding the publication of this article.

Additional information

Publisher's Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Dahbi, N., El khair, A., Cheffi, K. et al. Consanguinity, complex diseases and congenital disabilities in the Souss population (Southern Morocco): a cross-sectional survey. Egypt J Med Hum Genet 25, 27 (2024). https://doi.org/10.1186/s43042-024-00490-w

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s43042-024-00490-w

Keywords