Skip to main content
Proceedings of the National Academy of Sciences of the United States of America logoLink to Proceedings of the National Academy of Sciences of the United States of America
. 2010 Jan 26;107(Suppl 1):1779–1786. doi: 10.1073/pnas.0906079106

Consanguinity, human evolution, and complex diseases

A H Bittles a,b,1, M L Black a
PMCID: PMC2868287  PMID: 19805052

Abstract

There is little information on inbreeding during the critical early years of human existence. However, given the small founding group sizes and restricted mate choices it seems inevitable that intrafamilial reproduction occurred and the resultant levels of inbreeding would have been substantial. Currently, couples related as second cousins or closer (F ≥ 0.0156) and their progeny account for an estimated 10.4% of the global population. The highest rates of consanguineous marriage occur in north and sub-Saharan Africa, the Middle East, and west, central, and south Asia. In these regions even couples who regard themselves as unrelated may exhibit high levels of homozygosity, because marriage within clan, tribe, caste, or biraderi boundaries has been a long-established tradition. Mortality in first-cousin progeny is ≈3.5% higher than in nonconsanguineous offspring, although demographic, social, and economic factors can significantly influence the outcome. Improving socioeconomic conditions and better access to health care will impact the effects of consanguinity, with a shift from infant and childhood mortality to extended morbidity. At the same time, a range of primarily social factors, including urbanization, improved female education, and smaller family sizes indicate that the global prevalence of consanguineous unions will decline. This shift in marriage patterns will initially result in decreased homozygosity, accompanied by a reduction in the expression of recessive single-gene disorders. Although the roles of common and rare gene variants in the etiology of complex disease remain contentious, it would be expected that declining consanguinity would also be reflected in reduced prevalence of complex diseases, especially in population isolates.

Keywords: community genetics, inbreeding, reproduction, health, social structure


It is generally accepted that the founding population size of Homo sapiens was small, with effective population estimates ranging downward from ≈10,000 to 1,900–2,800 and ≈1,000 to ≈700 (14). With such limited total numbers and population dispersal caused by a hunter–gatherer existence, a substantial level of inbreeding would have been inevitable, almost certainly involving multiple loops of kin relationships. Close-kin unions continued during the subsequent slow population growth of human groups living mainly in scattered rural settlements, with bottlenecks caused by periodic epidemics, famines, and warfare. Even in mid 19th-century Europe and North America first-cousin marriage remained both socially accepted and quite widely favored, especially among the more privileged classes (5, 6). Against this background it is puzzling that in recent generations human inbreeding has been subject to widespread negative opinion and prejudice in Western societies.

Ironically, suspicion as to the advisability of first-cousin marriage had been raised by Charles Darwin (7) in the improbabl context of a book on self-fertilization in orchids. In keeping with family tradition Darwin married his first cousin Emma Wedgwood in 1839, with 10 children born over the next 17 years. Although happily married, after the death of three of their children, including his favorite daughter Annie in 1851 probably of tuberculosis, Darwin became concerned that their union may have been a mistake from a biological perspective. However, studies conducted by his son George (8) into the prevalence and basic health outcomes of contemporary first-cousin marriage in Great Britain helped to convince Darwin to the contrary, on the grounds that “the widely different habits of life of men and women in civilized nations, especially among the upper classes, would tend to counterbalance any evil from marriages between healthy and somewhat closely related persons” (9). But by that stage the topic of cousin marriage had become a matter of often acrimonious public debate on both sides of the Atlantic, and by the end of the 19th century legislation banning first-cousin unions had been enacted by 12 state legislatures in the United States (5).

As indicated in the title of this review, a central aim is to consider the influence of consanguinity on complex genetic disorders. As a starting point, the historical background to Western and other world attitudes toward consanguinity will be briefly examined, followed by discussion of the relationship between consanguinity and community endogamy in determining population profiles of genetic disease, the current global prevalence of consanguineous unions, and the overall impact of first-cousin marriage on survival and health.

Civil and Religious Regulation of Consanguineous Marriage

The roots of negative Western attitudes toward consanguinity extend back over 1,500 years. In the Eastern Roman Empire the legality of first-cousin marriage had been confirmed by the Emperor Arcadius in 400 AD (10), possibly in acceptance of the marriage regulations defined in the Old Testament Book of Leviticus 18:7–18. But according to the Venerable Bede writing in the early 8th century (11), in 597 AD Augustine the first Archbishop of Canterbury was advised by Pope Gregory I that first-cousin marriage was banned by sacred law, a somewhat overly enthusiastic interpretation of Leviticus 18:6, “none of you shall approach to any that is near kin to him, to uncover their nakedness.” Depending on the translation of Bede consulted, Gregory I further advised that first-cousin unions “do not result in children” (11), an opinion that is factually incorrect (12), or that “the offspring of such marriages cannot thrive” (10), which also is at best an overstatement.

Until 1917 the Roman Catholic Church required dispensation for unions between couples related as first, second, or third cousins (equivalent to a coefficient of inbreeding, F ≥ 0.0039), with a wide range of reasons accepted as grounds for consanguinity dispensation, e.g., the small size of the local population, advanced bridal age, or lack of dowry (13). As a result of misunderstanding after the switch from the Roman to the Germanic system for calculating degrees of consanguinity, during the late 11th to the early 13th centuries the requirement for dispensation expanded to include fourth-, fifth-, and sixth-cousin marriages (F ≥ 0.00006), a level of regulation that rapidly proved impractical at local level (10). Because Luther had attacked the dispensation requirements for consanguineous unions as representing the rules of the church rather than of divine intention, and as a revenue-raising device (10), after the Reformation the Protestant denominations largely accepted the Levitical marriage proscriptions with no restriction on first-cousin unions.

The Levitical guidelines also permit uncle–niece marriage (F = 0.125), which along with first-cousin marriages are still practiced in many Sephardi Jewish communities. Marriage regulations in Islam permit first-cousin and double first-cousin (F = 0.125) marriages, but uncle–niece unions are prohibited by the Quran. Contrary to common belief there is no encouragement of consanguinity within Islam, and although the Prophet Muhammad married his daughter Fatima to his ward and first cousin Ali, several hadith (sayings of the Prophet) endorse marriage between nonrelatives (14). It therefore seems that the strong preference for first-cousin marriage in most Muslim countries, principally the parallel paternal subtype, i.e., between a man and his father’s brother’s daughter, reflect both pre-Islamic Arab tradition and the rules introduced in the Quran enabling female inheritance of wealth (15).

First-cousin marriage is generally permitted within Buddhism, but the marriage regulations in Hinduism are more complex. According to the north Indian tradition believed to date back to 200 BC, pedigrees are examined over an average of seven generations on the male side and five generations on the female side to preclude a consanguineous union (16). Whereas in Dravidian south India, cross first-cousin marriage (between a man and his mother’s brother’s daughter) and more especially uncle–niece marriages are favored across all castes. Because of their customary nature, cross-cousin marriages were recognized by the government of India in the Hindu Marriage Act of 1955 and the legality of uncle–niece marriages was confirmed in the Hindu Code Bill of 1984 (17).

The Current Global Prevalence of Consanguineous Marriage

As illustrated in Fig. 1, based on detailed information accessible at the Global Consanguinity website (www.consang.net), close-kin marriage continues to be preferential in many major populations, with the influence of religion apparent in the major regional differences in consanguinity prevalence across the globe (18). Despite anthropological reports indicating consanguineous marriage throughout sub-Saharan Africa, and in populous Asian countries including Bangladesh and Indonesia, little quantitative information on consanguinity is available from these regions. Nevertheless, current data indicate that some 10.4% of the 6.7 billion global population are related as second cousins or closer (F ≥ 0.0156). Although the overall prevalence of consanguineous marriage seems to be declining, in some countries the present-day rates of consanguinity exceed those of the preceding generation, possibly reflecting greater overall survival to adulthood that in turn increases the numbers of marriageable biological relatives (19).

Fig. 1.

Fig. 1.

Global distribution of marriages between couples related as second cousins or closer (F ≥ 0.0156).

Large-scale emigration of people from countries where consanguinity is preferential to North America, Europe, and Oceania was an important demographic feature of the latter half of the 20th century. As previously indicated, first-cousin marriages (F = 0.0625) have the potential to cause legal problems for migrants and state law enforcement authorities in the United States because these unions are now either illegal or a criminal offense in 31 of 50 states (5, 6, 20), despite a unanimous recommendation in 1970 that all such state laws should be rescinded (21). In Western Europe there are at least 10 million resident migrants from regions where consanguinity is preferential, and it is the possibility that the progeny of consanguineous unions are more likely to be affected by recessive genetic disorders that has aroused greater controversy, for example, with calls by some legislators for a ban on first-cousin marriages in the United Kingdom’s Pakistani community (19, 22). Although a decline in first-cousin marriage has been observed in the Norwegian Pakistani community (23), no similar trend seems to have occurred in the United Kingdom’s Pakistani population (24) or in the Turkish or Moroccan communities in Belgium (25), and a rapid reduction in the preference for consanguineous unions by first- and second-generation migrant families in Europe appears improbable.

The Comparative Roles of Consanguinity and Endogamy in Genetic Studies

Intracommunity marriage is the norm in regions where consanguineous marriage is favored, usually contracted within long-established male lineages, e.g., within the clan (hamula) and tribe in Arab societies, within caste in India, and intrabiraderi in Pakistan. Because gene flow between communities is highly restricted in most traditional societies, adjacent villages or even coresident subcommunities may exhibit very different inherited disease profiles, reflecting local founder mutations and genetic drift (18). These characteristics have been demonstrated in tribe-specific single gene disorders in Saudi Arabia (2628), the differential origins and expansion patterns of β-globin mutations in an Israeli Arab village (29), and village- and lineage-specific predisposing genes for visceral leishmaniasis in Sudan (30). Under these circumstances and whether or not the parents are known to be consanguineous, a recessive founder or de novo mutation of chronic effect can rapidly increase in frequency within a particular community or subcommunity, resulting in the birth of an affected child. In communities with a high level of consanguineous marriage, the diagnosis of a recessive disorder in one or more members of the same family is generally indicative of a recent mutation, whereas the presence of a rare disorder in several families suggests an older mutational event or previous admixture through marriage with a person from another community (31).

Population substructure, whether caused by ethnic, geographical, religious, or social divisions, often results in variant marker allele frequencies in different subpopulations. The occurrence of type 1 errors, i.e., false positive results, is of major importance in case-control studies, association studies, and clinical trials (32, 33). Conflicting opinions have been expressed as to the impact of population stratification on genomewide studies with, for example, the claim that in the United Kingdom if persons of non-European ancestry are excluded “the extent of population stratification in the British population is generally modest” (34). Conversely, in the more homogenous Icelandic population it was believed that population substructure had to be considered in the sampling strategy, with the implication that it would be of much greater importance in larger populations with more diverse genetic origins (35). Because genomic studies consistently report that a large majority (93–95%) of genetic variation is within-population (36), the latter opinion is unsurprising and highlights the need for vigilance in case-control studies to preclude spurious associations.

As discussed in the following sections, population stratification may also be of critical importance in the investigation of consanguinity-associated morbidity and mortality, with straightforward comparisons drawn between the progeny of first cousins versus unrelated parents of dubious validity unless both sets of parents are known to be members of the same clan, tribe, caste, or biraderi (19). For this reason, in many populations the clan or its hereditary social/occupational equivalent may be the most logical unit for genetic screening and genetic counseling programs, as exemplified by the distribution pattern of β-thalassemia in Oman where >50% of cases were diagnosed in just one of the 185 major tribes and subtribes (37, 38).

Consanguinity and Health

Within genetics, contemporary attention on consanguineous marriage continues to be largely focused on the expression and identification of rare autosomal recessive alleles, a recent example being a comparative study in Norway of progressive encephalopathy in Pakistani migrants and the indigenous population (39). But as indicated in Fig. 2, from an overall health perspective consanguinity is a much wider and more complex topic involving major social, economic, and demographic influences, differential reproductive behavior, and early- and late-onset morbidity and mortality. A thorough appreciation of the salient nongenetic variables is therefore essential in addressing the concerns of individuals, families, and communities with regard to reproductive choices, and in designing genetic education and genetic counseling programs for consanguineous couples.

Fig. 2.

Fig. 2.

Influences and outcomes of consanguineous marriage.

The highest overall prevalence of consanguineous unions is in poor rural communities, which are typified by low levels of maternal education, early age at marriage and first birth, short birth intervals, and longer reproductive spans (15, 4042). Each of these factors is independently associated with larger family sizes and higher rates of infant and early childhood mortality, with reproductive compensation for early losses a further complicating issue in assessing the overall health outcomes of consanguinity (12). Comprehensive genetic education and premarital genetic counseling programs can help to lessen the burden of genetic diseases in such communities, as reported in Israeli Arab and Bedouin villages (4345). While in Middle Eastern countries such as Bahrain educational programs aimed at high school children, and through them their parents and relatives, have had a marked beneficial effect in reducing the incidence of sickle cell disease (46). There are, however, current limitations to the success of these initiatives in many low-income countries, in particular the lack of clinicians, genetic counselors, nurses, and scientific support staff with appropriate specialist training (47). Patients referred for genetic counseling may also expect directive advice as to whether or not to proceed with a pregnancy, with failure to provide an opinion interpreted as a lack of knowledge on the part of the clinician (48), and even when specific rulings have been provided by religious authorities permitting prenatal diagnosis of genetic diseases and selective termination of a pregnancy, this option may remain unacceptable to individual couples (15).

Consanguinity, Mortality, and Morbidity

To investigate the impact of consanguinity on deaths from ≈6 months gestation to an average of 10 years of age, a metaanalysis was conducted directly comparing prereproductive mortality in first-cousin versus nonconsanguineous progeny within specific populations. The study sample comprised 69 populations resident in 15 countries located across four continents, with a total sample size of 2.14 million (Table S1). An unweighted linear regression comparing mean mortality in first-cousin versus nonconsanguineous progeny in each population was plotted according to the standard equation y = a + bx. The results are presented in Fig. 3 as a scatter diagram and show a mean excess mortality at first-cousin level of 3.5% (r2 = 0.70; P < 0.00001) that is consistent across the range of control mortalities, i.e., the level of excess consanguinity-associated mortality is independent of the basal (nonconsanguineous) death rate in each study population. The estimate of 3.5% excess deaths among first-cousin progeny compares with an earlier global estimate of 4.4% excess mortality (49) calculated from 38 studies each of which was included in the present analysis, and it matches the 3.5% excess mortality derived for Italian data of the early to mid 20th century (13).

Fig. 3.

Fig. 3.

Comparative mortality in first cousin (1C; F = 0.0625: y axis) versus nonconsanguineous progeny (NC; F = 0: x axis) in 69 study populations.

Initial estimates of the adverse effects of consanguineous marriage, expressed as lethal gene equivalents, had produced significantly higher values for consanguinity-associated mortality, mainly because of lack of control for the negative correlation between consanguinity and socioeconomic status (50). Although control for the effects of nongenetic variables was improved in the present study, the mean value of 3.5% excess mortality at the first-cousin level is an upper-level estimate that may be subject to further downward revision as data from better-designed studies become available.

The influence of first-cousin marriage on the prevalence of autosomal recessive single-gene disorders was examined as part of an investigation into consanguinity-associated morbidity in a Pakistani community in the United Kingdom (51). From the results of this 5-year prospective study it was calculated that there would be a ≈7/1,000 increase in autosomal recessive disorders per 0.01 increase in the mean coefficient of inbreeding (52). Thus, in a national population such as Pakistan where ≈50% of marriages were between first cousins (F = 0.0625) (53) some 22/1,000 extra single-gene disorders would be expected.

Unfortunately, the original study omitted control for population subdivision, which has been shown to be a notable feature of indigenous and migrant Pakistani populations (5456), and as previously noted is typical of many more traditional populations. Wahlund effect predicts that subdivided populations characteristically exhibit higher than predicted levels of homozygosity. Given the known levels of population substructure associated with biraderi membership in Pakistan and the Pakistani community in the United Kingdom, nonconsanguineous couples are at higher risk of sharing the same recessive disease mutation than counterparts in populations where limited or no substructure exists. The consequent random consanguinity effect on the distribution and expression patterns of recessive disease genes means that in populations with significant subdivision the beneficial health outcomes that have been claimed through simply avoiding consanguineous marriage are almost certainly exagger-ated and require reassessment (19, 57).

Consanguinity and Complex Diseases

There has been extended debate on the nature of the genetic contribution to complex diseases, i.e., whether the common disease/common variant or the common disease/rare variant hypothesis is more applicable (58), with the role of copy number variants also proposed (59, 60). Consanguinity would be expected to exert a greater influence on the etiology of complex diseases if rare autosomal recessive alleles were causally implicated, whereas if disease alleles that are common in the gene pool are involved then intrafamilial marriage would have a proportionately lesser effect. However, because both gene–gene interactions and numerous nongenetic factors in prenatal and postnatal life also contribute to the disease phenotype, a single all-embracing solution to the genetics of complex diseases is highly improbable.

Major genomewide analyses of diseases with onset primarily in childhood and adulthood have identified associations with specific chromosomal regions, e.g., for type 1 and type 2 diabetes (61, 62), although these studies have emphasized the large numbers of genes involved and the small increased risk that appears to be associated with most individual variants. Concern also has been expressed that concentration on the identification of gene variants via patients with the disease under study rather than full genome sequencing of randomly ascertained samples could lead to significantly inflated rates of false positives (63).

Investigations into the effects of consanguinity on congenital defects have produced quite varied results, in large part because of a lack of standardized assessment protocols and the different environmental and socioeconomic circumstances of the study populations. Using nonconsanguineous progeny as controls, estimates of the excess level of congenital defects in first-cousin offspring have ranged from 0.7% to 7.5% (6468), but the Latin American Collaborative Study of Congenital Malformation based on 34,1902 newborns found a significant association with consanguinity only for hydrocephalus, postaxial polydactyly, and bilateral oral and facial clefts (69).

A different picture emerges from the large literature on congenital heart defects, which are conservatively estimated to have an incidence of 50/1,000 live births (70). Although a consistent positive association between consanguinity and disorders such as ventricular septal defect and atrial septal defect has been demonstrated, indicating the involvement of common variants, both positive and negative associations with patent ductus arteriosus, atrioventricular septal defect, pulmonary atresia, and tetralogy of Fallot have been reported in different populations (7174), suggestive of community-specific founder mutations. It is, however, also possible that nonstandardized diagnostic protocols may have contributed to the variant findings reported by different study centers.

As yet relationships between consanguinity and complex diseases of adulthood have been significantly underinvestigated, and the few studies published have relied mainly on rudimentary sampling strategies, with simple consanguineous versus noncon-sanguineous comparisons in disease prevalence and inadequate attention paid to possible genetic or demographic subdivisions. Accordingly, the results obtained often are contradictory, e.g., with both positive and negative associations reported between consanguinity and breast cancer (7577), and consanguinity and heart disease (75, 78, 79). Long-term studies conducted on the Dalmatian islands in the Adriatic Sea have indicated a positive association between inbreeding and a very wide range of common adulthood disorders, including hypertension, coronary heart disease, stroke, cancer, uni/bipolar depression, asthma, gout, peptic ulcer, and osteoporosis (8082). The data thus suggest virtually ubiquitous causal involvement of rare autoso-mal recessive genes in adult-onset disease in this population, with the more general corollary that increasing genomewide heterozygosity after a decline in consanguineous marriage should lead to a widespread reduction in the burden of common genetic diseases (83).

The Dalmatian studies have the very considerable advantage of demographically well-characterized populations with known ethnic origins, although the actual definitions used in assessing the comparative levels of inbreeding are genetically quite imprecise and principally reflect village endogamy rather than consanguinity per se. As previously discussed, until the early 20th century church dispensation would have been required for marriages between spouses related as third cousins or closer (F ≥ 0.0039) in these devoutly Roman Catholic communities (13). In the absence of church records indicating dispensation for marriages contracted within the prevailing consanguinity regulations, the consanguineous relationships examined may principally have been random rather than preferential in nature and reflected restricted marriage partner choices. The analysis of genealogical data covering four to five generations showed substantial levels of consanguinity in some communities, with mean coefficients of inbreeding ranging from α = 0.002 to 0.049 calculated at village level, indicating major variations in local marriage patterns driven by both the history and the geographical location of each settlement (80).

Pedigree-based estimates of consanguinity and the resultant levels of homozygosity have several limitations; in particular, they do not provide information on close-kin marriages that have occurred in distant generations and thus underestimate cumulative inbreeding effects, and with rare exceptions incorrectly ascribed paternity is not recorded. To complement the pedigree-based approaches previously adopted and avoid these difficulties, high-density genome scans were used to estimate individual autozygosity (Froh) from uninterrupted runs of homozygosity (ROH). An appropriate length threshold was empirically derived for ROH and the method was applied to data derived from residents of the Dalmatian islands, the Orkney islands off the north coast of Scotland, mainland Scotland, and the state of Utah (84). Initial comparisons of Froh values ranging from 0.5, i.e., with a minimum length threshold of 0.5 Mb, to 1 (length threshold 1 Mb) and 5 (length threshold 5Mb) with pedigree data from the Orkneys indicated good correlation with pedigree-based mean coefficients of inbreeding and so confirmed the applicability of the method for the direct assessment of autozygosity. The method has been further applied to investigate changes in autozygosity through time in two American study populations. The steady decreases observed in the size and frequency of ROH > 1 Mb in length in these populations were ascribed to expanded marriage pools and larger effective population sizes and interpreted as indicating future ongoing reductions in the frequency of rare recessive disorders (85).

When applied to behavioral disorders genomewide analysis has indicated the potential contribution of thousands of alleles of very small effect in schizophrenia and bipolar disorder, with significant genetic overlap between the two disease states (86, 87). At the same time, homozygosity mapping in autism (88) and a case-control study of bipolar disorder type 1 in consanguineous progeny (89) both implicated the causal expression of rare recessive genes. ROH similarly have been shown to be significantly more common in patients with schizophrenia spectrum disorders, suggesting the involvement of recessive alleles in the etiology of the disorder (90). Reverting to earlier comments on the relationship between endogamy and consanguinity, an association between consanguinity and Alzheimer disease was demonstrated in a genealogical study of the Saguenay region in Québec (91), and multiple loci for Alzheimer disease were identified in a highly endogamous and consanguineous Israeli Arab kindred (92), in both cases indicative of founder mutations. Thus, from a more general perspective these results strengthen the argument that all association studies on complex diseases would benefit from a sound prior knowledge of community demographic and genetic structure.

Discussion

Although consanguinity is a highly complex and multifaceted topic (Fig. 2), the claimed social and cultural advantages, such as ease of marriage arrangements, enhanced female autonomy, more stable marital relationships, greater compatibility with in-laws, lower domestic violence, lower divorce rates, and the economic benefits of reduced dowry and the maintenance of any landholdings (15, 41, 42, 47, 9395) have received much less attention than studies into adverse genetic outcomes. It therefore is not surprising that the prevailing Western public and medical opinion with regard to consanguinity is largely negative. There is the additional problem that in many societies that favor consanguineous unions marriages are usually arranged by and/or meet with prior parental approval, a practice frequently misrepresented and criticized as “forced marriage” (15).

For families living in impoverished rural areas with limited or no formal education or access to medical services, young age at marriage and first pregnancy, short birth intervals, and high infant and childhood mortality rates primarily caused by infectious and nutritional disorders, the social and economic advantages offered by consanguineous marriage and the strengthening of family relationships often outweigh the biological disadvantages of close-kin marriage for a majority of families (96, 97). The current scenario in urban populations is quite different, especially in developed countries with better living and public health conditions, low levels of infectious disease, and ready access to modern health facilities. Newborns with a genetic disorder that in previous generations may have died in infancy of no known cause are now referred to specialist centers for diagnosis, and they and their families can anticipate a lifespan that will extend at least into adolescence and more probably into mid to late adulthood, usually requiring ongoing medical care.

Unless a de novo mutation has been identified the diagnosis will effectively involve other family members as potential or obligate carriers and so could become a negative factor in all future family marriage arrangements (19, 98). For this reason, in disorders with a very adverse clinical outcome and involving multiple affected family members, such as progressive retinopathy and amelogenesis (99) and severe intellectual disability (100), marriage to a nonrelative may not be a realistic option, resulting either in celibacy or continued intrafamilial marriage. Within the wider community, greater understanding and acceptance of genetic explanations for familial patterns of disease and the unfavorable medical outcomes experienced by some consanguineous families can significantly influence the perceived balance of advantage and disadvantage associated with intrafamilial marriage (Fig. 4). Therefore, in conjunction with increasing difficulty in finding a marriageable cousin of acceptable age because of rapidly declining family sizes, future global reductions in the prevalence of consanguinity appear to be inevitable (19).

Fig. 4.

Fig. 4.

Contrasting biological and social outcomes of consanguineous marriage in traditional rural and modern urban settings.

What effect will this predicted reduction in consanguinity have in terms of human evolution and on the prevalence of genetic disease? Recent studies have identified the ongoing role of positive natural selection during an extended period when effective population sizes were small and consanguinity would have been high (101103), and the very rapid increases in global population numbers over the course of the last 150 years would suggest even greater acceleration in the pace of current and future human adaptive evolution (104). Although the mixing of previously separated breeding groups should lead to a marked initial reduction in the global prevalence of rare autosomal recessive disorders (85), the subsequent dispersal of phenotypically normal heterozygotes through newly agglomerated breeding pools will in time result in the “random” mating of noncon-sanguineous carriers of recessive mutations. But the rate at which these changes in mating patterns occur will necessarily be more rapid in increasingly panmictic urbanized populations than in endogamous ethnic, religious, geographical, or social isolates.

Whether similar predictions are possible for complex diseases will very much depend on the proportional contribution of recessive genes, and more especially rare recessive genes, to individual diseases in different populations. For the moment the greatest promise in identifying genes of major effect for complex diseases continues to reside in endogamous communities with extensive genealogical records (105). Convincing support for this approach is provided by the high frequencies of autosomal recessive disease genes diagnosed in numerically small, highly endogamous Arab Israeli communities (106). Yet, surprisingly, in these communities and other isolates where consanguinity is much less common, multiple mutations in specific disease genes have been identified where a single founder mutation would more usually have been expected (29, 107). Because limited genetic diversity and restricted allelic heterogeneity are generally expected in isolated founder populations, it also is salutary that a genomewide association analysis of obesity and other metabolic disorders in a Pacific island community, in which reduced haplotype diversity and extended linkage disequilibrium had already been demonstrated, failed to detect major contributory alleles and instead indicated the presence of common variants of small effect (108, 109).

Having largely been ignored for many years, the specific roles of population bottlenecks and consanguinity in influencing variation between and within populations are now receiving due attention, with special focus on homozygosity in identifying recent common ancestry via ROH analysis (110). The potential complexity of the interrelationships between consanguinity and human health and disease was highlighted by the reported association between consanguinity and predisposition to major infectious diseases (111). If these findings are substantiated, by ameliorating the risk of exposure to infectious agents a global decline in consanguinity could also providentially reduce the risk of inflammatory disease and hence the development of coronary disease in middle and old age (112).

Time will tell whether these as yet tenuous epidemiological connections can be sustained. In the interim, it is important to emphasize that in assessing the impact of consanguinity on any aspect of health a clear causal relationship needs to be established, rather than reliance on speculation driven solely by the presence of a close kin union in the family pedigree. At the same time, rigorous control for population stratification should be a prerequisite in the many populations where community subdivisions exist if confused and confusing conclusions are to be avoided.

Acknowledgments

We thank the referees for constructive comments. A.H.B. is supported by National Science Foundation Grant 0527751.

Footnotes

This paper results from the Arthur M. Sackler Colloquium of the National Academy of Sciences, “Evolution in Health and Medicine” held April 2–3, 2009, at the National Academy of Sciences in Washington, DC. The complete program and audio files of most presentations are available on the NAS web site at www.nasonline.org/Sackler_Evolution_Health_Medicine.

The authors declare no conflict of interest.

This article is a PNAS Direct Submission. D.R.G. is a guest editor invited by the Editorial Board.

This article contains supporting information online at www.pnas.org/cgi/content/full/0906079106/DCSupplemental.

References

  • 1.Harpending HC, et al. Genetic traces of ancient demography. Proc Natl Acad Sci USA. 1998;95:1961–1967. doi: 10.1073/pnas.95.4.1961. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Tenesa A, et al. Recent human effective population size estimated from linkage disequilibrium. Genome Res. 2007;17:520–526. doi: 10.1101/gr.6023607. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Liu H, Prugnolle F, Manica A, Balloux F. A geographically explicit genetic map of worldwide human-settlement history. Am J Hum Genet. 2006;79:230–237. doi: 10.1086/505436. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Zhivotovsky LA, Rosenberg NA, Feldman MW. Features of evolution and expansion of modern humans, inferred from genomewide microsatellite markers. Am J Hum Genet. 2003;72:1171–1186. doi: 10.1086/375120. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Ottenheimer M. Forbidden Relatives: The American Myth of Cousin Marriage. Urbana: Univ Illinois Press; 1996. pp. 19–41. [Google Scholar]
  • 6.Bittles AH. The bases of Western attitudes to consanguineous marriage. Dev Med Child Neurol. 2003;45:135–138. [PubMed] [Google Scholar]
  • 7.Darwin C. On the Various Contrivances by Which British and Foreign Orchids Are Fertilized by Insects, and on the Good Effects of Intercrossing. London: John Murray; 1862. pp. 359–360. [PMC free article] [PubMed] [Google Scholar]
  • 8.Darwin GH. Marriages between first cousins in England and Wales and their effects. J Stat Soc. 1875;38:153–184. doi: 10.1093/ije/dyp335. [DOI] [PubMed] [Google Scholar]
  • 9.Darwin C. The Effects of Cross and Self-Fertilization in the Vegetable Kingdom. London: John Murray; 1876. pp. 460–461. [Google Scholar]
  • 10.Goody J. The Development of the Family and Marriage in Europe. Cambridge, UK: Cambridge Univ Press; 1985. pp. 48–60.pp. 134–146. [Google Scholar]
  • 11.Bede . The Ecclesiastical History of the English People. Revised Ed. London: Penguin Books; 1991. pp. 79–81. [Google Scholar]
  • 12.Bittles AH, Grant JC, Sullivan SG, Hussain R. Does inbreeding lead to increased human fertility? Ann Hum Biol. 2002;29:111–131. doi: 10.1080/03014460110075657. [DOI] [PubMed] [Google Scholar]
  • 13.Cavalli-Sforza LL, Moroni A, Zei G. Consanguinity, Inbreeding, and Genetic Drift in Italy. Princeton: Princeton Univ Press; 2004. [Google Scholar]
  • 14.Hussain R. Community perceptions of reasons for preference for consanguin-eous marriages in Pakistan. J Biosoc Sci. 1999;31:449–461. doi: 10.1017/s0021932099004496. [DOI] [PubMed] [Google Scholar]
  • 15.Bittles AH, Hamamy HA. Consanguinity and endogamy in Arab countries. In: Teebi A, editor. Genetic Disorders among Arab Populations. 2nd Ed. Heidelberg: Springer; 2009. in press. [Google Scholar]
  • 16.Kapadia KM. Marriage and the Family in India. 2nd Ed. Calcutta: Oxford Univ Press; 1958. pp. 117–137. [Google Scholar]
  • 17.Bittles AH. Endogamy, consanguinity, and community genetics. J Genet. 2002;81:91–98. doi: 10.1007/BF02715905. [DOI] [PubMed] [Google Scholar]
  • 18.Bittles AH. Consanguinity, genetic drift, and genetic diseases in populations with reduced numbers of founders. In: Vogel F, Motulsky AG, Antonarakis SE, Speicher M, editors. Human Genetics: Principles and Approaches. 4th Ed. Heidelberg: Springer; 2009. in press. [Google Scholar]
  • 19.Bittles AH. A community genetics perspective on consanguineous marriage. Commun Genet. 2008;11:324–330. doi: 10.1159/000133304. [DOI] [PubMed] [Google Scholar]
  • 20.Paul DB, Spencer HG. “It’s OK, we’re not cousin by blood”: The cousin marriage controversy in historical perspective. PLoS Biol. 2008;6:e320. doi: 10.1371/journal.pbio.0060320. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.National Conference of Commissioners. Handbook on Uniform State Laws and Proceedings of the Annual Conference Meeting in its Seventy-Ninth Year. Baltimore: Port City Press; 1970. [Google Scholar]
  • 22.Dyer O. MP is criticized for saying that marriage of first cousins is a health risk. Br Med J. 2005;331:1292. [Google Scholar]
  • 23.Grjibovski AM, Magnus P, Stoltenberg C. Decrease in consanguinity among parents of children born in Norway to women of Pakistani origin: A registry-based study. Scand J Pub Health. 2009;37:232–238. doi: 10.1177/1403494808100939. [DOI] [PubMed] [Google Scholar]
  • 24.Shaw A. Kinship, cultural preference, and immigration: Consanguineous mar-riage among British Pakistanis. J R Anthropol Inst. 2000;7:315–334. [Google Scholar]
  • 25.Reniers G. Postmigration Survival of Traditional Marriage Patterns: Consan-guineous Marriage Among Turkish and Moroccan Immigrants in Belgium. Gent, Belgium: Depart-ment of Population Studies, University of Gent; 1998. Interuniversity Papers in Demography, PPD-1 Working Paper 1998-1. [Google Scholar]
  • 26.Ozand PT, et al. Prevalence of different types of lysosomal storage diseases in Saudi Arabia. J Inherit Metab Dis. 1990;13:849–861. doi: 10.1007/BF01800209. [DOI] [PubMed] [Google Scholar]
  • 27.Ozand PT, Devol EB, Gascon GG. Neuro-metabolic diseases at a national referral center: Five years experience at the King Faisal Specialist Hospital and Research Centre. J Child Neurol. 1992;7(Suppl):S4–S11. doi: 10.1177/08830738920070010211. [DOI] [PubMed] [Google Scholar]
  • 28.Rashed M, Ozand PT, Al Aqeel A, Gascon GG. Experience of King Faisal Specialist Hospital and Research Center with Saudi organic acid disorders. Brain Dev. 1994;16(Suppl):1–6. doi: 10.1016/0387-7604(94)90090-6. [DOI] [PubMed] [Google Scholar]
  • 29.Zlotogora J, et al. The origin and expansion of four different β-globin muta-tions in a single Arab village. Am J Hum Biol. 2005;17:659–661. doi: 10.1002/ajhb.20429. [DOI] [PubMed] [Google Scholar]
  • 30.Miller EN, et al. Y chromosome lineage- and village-specific genes on chromo-somes 1p22 and 6q27 control visceral leishmaniasis in Sudan. PLoS Genet. 2007;3:e71. doi: 10.1371/journal.pgen.0030071. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.Zlotogora J, Hujerat Y, Barges S, Shalev SA, Chakravarti A. The fate of 12 recessive mutations in a single village. Ann Hum Genet. 2006;71:202–208. doi: 10.1111/j.1469-1809.2006.00308.x. [DOI] [PubMed] [Google Scholar]
  • 32.Heiman GA, Hodge SE, Gorroochurn P, Zhang J, Greenberg DA. Effect of population stratification on case-control association studies. Hum Hered. 2004;58:30–39. doi: 10.1159/000081454. [DOI] [PubMed] [Google Scholar]
  • 33.Wang K. Testing for genetic association in the presence of population strati-fication in genomewide association studies. Genet Epidemiol. 2009 doi: 10.1002/gepi.20415. in press. [DOI] [PubMed] [Google Scholar]
  • 34.The Wellcome Trust Case Control Consortium. Genomewide association study of 14,000 cases of seven common diseases and 3,000 shared controls. Nature. 2007;447:661–678. doi: 10.1038/nature05911. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Helgason A, Yngvadóttir B, Hrafnkelsson B, Gulcher J, Stefánsson K. An Icelan-dic example of the impact of population structure on association studies. Nat Genet. 2005;37:90–95. doi: 10.1038/ng1492. [DOI] [PubMed] [Google Scholar]
  • 36.Rosenberg NA, et al. Genetic structure of human population. Science. 2002;298:2381–2385. doi: 10.1126/science.1078311. [DOI] [PubMed] [Google Scholar]
  • 37.Rajab A, Patton MA. Major factors determining the frequencies of hemoglo-binopathies in Oman. Am J Med Genet. 1997;71:240–242. doi: 10.1002/(sici)1096-8628(19970808)71:2<240::aid-ajmg26>3.0.co;2-d. [DOI] [PubMed] [Google Scholar]
  • 38.Rajab A, Patton MA. Analysis of the population structure in Oman. Commun Genet. 1999;2:23–25. doi: 10.1159/000016179. [DOI] [PubMed] [Google Scholar]
  • 39.Strømme P, et al. Parental consanguinity is associated with a 7-fold increased risk of progressive encephalopathy: A cohort study from Oslo, Norway. Eur J Paed Neurol. 2009 doi: 10.1016/j.ejpn.2009.03.007. in press. [DOI] [PubMed] [Google Scholar]
  • 40.Bittles AH, Mason WH, Greene J, Appaji Rao N. Reproductive behavior and health in consanguineous marriages. Science. 1991;252:789–794. doi: 10.1126/science.2028254. [DOI] [PubMed] [Google Scholar]
  • 41.Bittles AH. The role and significance of consanguinity as a demographic variable. Pop Dev Rev. 1994;20:561–584. [Google Scholar]
  • 42.Khlat M. Endogamy in Arab countries. In: Teebi A, Farag TI, editors. Genetic Disorders Among Arab Popu-lations. New York: Oxford Univ Press; 1997. pp. 63–80. [Google Scholar]
  • 43.Shiloh S, Reznik H, Bat-Miriam-Katznelson M, Goldman B. Premarital genetic counseling to consanguineous couples: Attitudes, beliefs, and decisions among coun-seled, noncounseled, and unrelated couples in Israel. Soc Sci Med. 1995;41:1301–1310. doi: 10.1016/0277-9536(94)00433-t. [DOI] [PubMed] [Google Scholar]
  • 44.Raz AE, Atar M. Cousin marriage and premarital carrier matching in a Bedouin community in Israel: Attitudes, service development, and educational intervention. J Fam Planning Reprod Health Care. 2004;30:49–51. doi: 10.1783/147118904322701992. [DOI] [PubMed] [Google Scholar]
  • 45.Zlotogora J, Carmi R, Lev B, Shalev SA. A targeted population carrier screening program for severe and frequent genetic diseases in Israel. Eur J Hum Genet. 2009;17:591–597. doi: 10.1038/ejhg.2008.241. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Al Arrayed S. Campaign to control genetic blood diseases in Bahrain. Commun Genet. 2005;8:52–55. doi: 10.1159/000083340. [DOI] [PubMed] [Google Scholar]
  • 47.Hamamy H, Bittles AH. Genetic clinics in Arab communities: Meeting individual, family, and community needs. Pub Health Genomics. 2009;12:30–40. doi: 10.1159/000153428. [DOI] [PubMed] [Google Scholar]
  • 48.Eldahdah L, et al. Outcome of chromosomally abnormal pregnancies in Leb-anon: Obstetricians’ roles during and after prenatal diagnosis. Prenat Diagn. 2007;27:525–534. doi: 10.1002/pd.1721. [DOI] [PubMed] [Google Scholar]
  • 49.Bittles AH, Neel JV. The costs of human inbreeding and their implications for variations at the DNA level. Nat Genet. 1994;8:117–121. doi: 10.1038/ng1094-117. [DOI] [PubMed] [Google Scholar]
  • 50.Bittles AH, Makov E. Inbreeding in human populations: An assessment of the costs. In: Mascie-Tyalor CGN, Boyce AJ, editors. Human Mating Patterns. Cambridge, UK: Cambridge Univ Press; 1988. pp. 153–167. [Google Scholar]
  • 51.Bundey S, Alam H. A 5-year prospective study of the health of children in different ethnic groups, with particular reference to the effect on inbreeding. Eur J Hum Genet. 1993;1:206–219. doi: 10.1159/000472414. [DOI] [PubMed] [Google Scholar]
  • 52.Christianson A, Howson CP, Modell B. Global Report on Birth Defects. White Plains, NY: March of Dimes; 2006. pp. 83–84. [Google Scholar]
  • 53.Hussain R, Bittles AH. The prevalence and demographic characteristics of consanguineous marriages in Pakistan. J Biosoc Sci. 1998;30:261–275. doi: 10.1017/s0021932098002612. [DOI] [PubMed] [Google Scholar]
  • 54.Wang W, et al. A genome-based study of consanguinity in three coresident endogamous Pakistan communities. Ann Hum Genet. 2000;64:41–49. doi: 10.1017/S0003480000007946. [DOI] [PubMed] [Google Scholar]
  • 55.Qamar R, et al. Y-chromosomal DNA variation in Pakistan. Am J Hum Genet. 2002;70:1107–1124. doi: 10.1086/339929. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Overall ADJ, Ahmad M, Thomas MG, Nichols RA. An analysis of consanguinity and social structure within the U.K. Asian population using microsatellite data. Ann Hum Genet. 2003;67:525–537. doi: 10.1046/j.1529-8817.2003.00062.x. [DOI] [PubMed] [Google Scholar]
  • 57.Overall ADJ. The influence of the Wahlund effect on the consanguinity hy-pothesis: Consequences for recessive disease incidence in a socially structured Paki-stani population. Hum Hered. 2009;67:140–144. doi: 10.1159/000179561. [DOI] [PubMed] [Google Scholar]
  • 58.Schork NJ, Murray SS, Frazer KA, Topol EJ. Common vs. rare allele hypotheses for complex diseases. Curr Opin Genet Dev. 2009;19:212–219. doi: 10.1016/j.gde.2009.04.010. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Estevill X, Armengol L. Copy number variants and common disorders: Filling the gaps and exploring complexity in genomewide association studies. PLoS Genet. 2007;3:e190. doi: 10.1371/journal.pgen.0030190. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Need AC, et al. A genomewide investigation of SNPs and CNVs in schizophre-nia. PLoS Genet. 2009;5:e1000373. doi: 10.1371/journal.pgen.1000373. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Todd JA, et al. Robust associations of four new chromosome regions from genomewide analyses of type 1 diabetes. Nat Genet. 2007;39:813–815. doi: 10.1038/ng2068. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Lyssenko V, et al. Clinical risk factors, DNA variants, and the development of type 2 diabetes. N Engl J Med. 2008;359:2220–2232. doi: 10.1056/NEJMoa0801869. [DOI] [PubMed] [Google Scholar]
  • 63.Li B, Leal SM. Discovery of rare variants via sequencing: Implications for the design of complex trait association studies. PLoS Genet. 2009;5:e1000481. doi: 10.1371/journal.pgen.1000481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Schull WJ. Empirical risks in consanguineous marriages: Sex ratio, malforma-tion, and viability. Am J Hum Genet. 1958;10:294–343. [PMC free article] [PubMed] [Google Scholar]
  • 65.Jaber L, Merlob P, Bu X, Rotter JI, Shohat M. Marked parental consanguinity as a cause for increased major malformations in an Israeli Arab community. Am J Med Genet. 1992;44:1–6. doi: 10.1002/ajmg.1320440102. [DOI] [PubMed] [Google Scholar]
  • 66.Stoltenberg C, Magnus P, Lie TR, Daltveit AK, Irgens LM. Birth defects and parental consanguinity in Norway. Am J Epidemiol. 1997;145:439–448. doi: 10.1093/oxfordjournals.aje.a009126. [DOI] [PubMed] [Google Scholar]
  • 67.Zlotogora J. What is the birth defect risk associated with consanguineous marriage? Am J Med Genet. 2002;109:70–71. doi: 10.1002/ajmg.10311. [DOI] [PubMed] [Google Scholar]
  • 68.Bromiker R, Glam-Baruch M, Gofin R, Hammerman C, Amitai Y. Association of parental consanguinity with congenital malformations among Arab newborns in Jerusalem. Clin Genet. 2004;66:63–66. doi: 10.1111/j.0009-9163.2004.00264.x. [DOI] [PubMed] [Google Scholar]
  • 69.Rittler M, Liascovich R, López-Camelo J, Castilla EE. Parental consanguinity in specific types of congenital anomalies. Am J Med Genet. 2001;102:36–43. doi: 10.1002/1096-8628(20010722)102:1<36::aid-ajmg1394>3.0.co;2-m. [DOI] [PubMed] [Google Scholar]
  • 70.Pierpont ME, et al. Genetic basis for congenital heart defects: Current knowl-edge. Circulation. 2007;115:3015–3038. doi: 10.1161/CIRCULATIONAHA.106.183056. [DOI] [PubMed] [Google Scholar]
  • 71.Gnanalingham MG, Gnanalingham KK, Singh A. Congenital heart disease and parental consanguinity in South India. Acta Paediatr. 1999;88:473–474. doi: 10.1080/08035259950169936. [DOI] [PubMed] [Google Scholar]
  • 72.Becker SM, Al Halees Z, Molina C, Paterson RM. Consanguinity and congenital heart disease in Saudi Arabia. Am J Med Genet. 2001;99:8–13. doi: 10.1002/1096-8628(20010215)99:1<8::aid-ajmg1116>3.0.co;2-u. [DOI] [PubMed] [Google Scholar]
  • 73.Nabulsi MM, et al. Parental consanguinity and congenital heart malformations in a developing country. Am J Med Genet. 2003;116A:342–347. doi: 10.1002/ajmg.a.10020. [DOI] [PubMed] [Google Scholar]
  • 74.Khalid Y, et al. Consanguineous marriage and congenital defects: A case-control study in the neonatal period. Am J Med Genet. 2006;140:1524–1530. doi: 10.1002/ajmg.a.31309. [DOI] [PubMed] [Google Scholar]
  • 75.Shami SA, Qaisar R, Bittles AH. Consanguinity and adult morbidity in Pakistan. Lancet. 1991;338:954–955. doi: 10.1016/0140-6736(91)91828-i. [DOI] [PubMed] [Google Scholar]
  • 76.Liede A, et al. Contribution of BRAC1 and BRAC2 mutations of breast and ovarian cancer in Pakistan. Am J Hum Genet. 2002;71:595–606. doi: 10.1086/342506. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Denic S, Bener A. Consanguinity decreases risk of breast cancer: Cervical cancer unaffected. Br J Cancer. 2001;85:1675–1679. doi: 10.1054/bjoc.2001.2131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Ismail J, et al. Risk factors for nonfatal myocardial infarction in young South Asian adults. Heart. 2004;90:259–263. doi: 10.1136/hrt.2003.013631. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Jaber L, Shohat T, Rotter JI, Shohat M. Consanguinity and common adult diseases in Israeli Arab communities. Am J Med Genet. 1997;70:346–348. doi: 10.1002/(sici)1096-8628(19970627)70:4<346::aid-ajmg2>3.0.co;2-r. [DOI] [PubMed] [Google Scholar]
  • 80.Rudan I, et al. Inbreeding and the genetic complexity of human hypertension. Genetics. 2003;163:1011–1021. doi: 10.1093/genetics/163.3.1011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Rudan I, et al. Inbreeding and risk of late-onset complex disease. J Med Genet. 2003;40:925–932. doi: 10.1136/jmg.40.12.925. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.Rudan I, et al. Inbreeding and susceptibility to osteoporosis in Croatian island isolates. Coll Antropol. 2004;28:585–602. [PubMed] [Google Scholar]
  • 83.Campbell H, et al. Effects of genomewide heterozygosity on a range of biomedically relevant human quantitative traits. Hum Mol Genet. 2007;16:233–241. doi: 10.1093/hmg/ddl473. [DOI] [PubMed] [Google Scholar]
  • 84.McQuillan R, et al. Runs of homozygosity in European populations. Am J Hum Genet. 2008;83:359–372. doi: 10.1016/j.ajhg.2008.08.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Nalls MA, et al. Measures of autozygosity in decline: Globalization, urbaniza-tion, and its implications for medical genetics. PLoS Genet. 2009;5:e1000415. doi: 10.1371/journal.pgen.1000415. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Lichenstein P, et al. Common genetic determinants of schizophrenia and bipolar disorder in Swedish families: A population-based study. Lancet. 2009;373:234–239. doi: 10.1016/S0140-6736(09)60072-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.The International Schizophrenia Consortium. Common polygenic variation contributes to risk of schizophrenia and bipolar disease. Nature. 2009;460:748–752. doi: 10.1038/nature08185. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 88.Morrow EM, et al. Identifying autism loci and genes by tracing recent shared ancestry. Science. 2008;321:218–223. doi: 10.1126/science.1157657. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Mansour H, et al. Consanguinity associated with increased risk for bipolar I disorder in Egypt. Am J Med Genet B Neuropsychiatr Genet. 2009;150:879–885. doi: 10.1002/ajmg.b.30913. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Lencz T, et al. Runs of homozygosity reveal highly penetrant recessive loci in schizophrenia. Proc Natl Acad Sci USA. 2007;104:19942–19947. doi: 10.1073/pnas.0710021104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Vézina H, et al. A genealogical study of Alzheimer disease in the Saguenay region of Québec. Genet Epidemiol. 1999;16:412–425. doi: 10.1002/(SICI)1098-2272(1999)16:4<412::AID-GEPI7>3.0.CO;2-L. [DOI] [PubMed] [Google Scholar]
  • 92.Farrer LA, et al. Identification of multiple loci for Alzheimer disease in a consanguineous Israeli–Arab community. Hum Mol Genet. 2003;12:415–422. doi: 10.1093/hmg/ddg037. [DOI] [PubMed] [Google Scholar]
  • 93.Hussien FH. Endogamy in Egyptian Nubia. J Biosoc Sci. 1971;3:251–257. doi: 10.1017/s0021932000008026. [DOI] [PubMed] [Google Scholar]
  • 94.Assaf S, Khawaja M. Consanguinity trends and correlates in the Palestinian Territories. J Biosoc Sci. 2009;41:107–124. doi: 10.1017/S0021932008002940. [DOI] [PubMed] [Google Scholar]
  • 95.Clark CJ, Hill A, Jabber K, Silverman JG. Violence during pregnancy in Jordan: Its prevalence and associated risk and protective factors. Violence Against Women. 2009;15:720–735. doi: 10.1177/1077801209332191. [DOI] [PubMed] [Google Scholar]
  • 96.Bittles AH. Consanguinity and its relevance to clinical genetics. Clin Genet. 2001;60:89–98. doi: 10.1034/j.1399-0004.2001.600201.x. [DOI] [PubMed] [Google Scholar]
  • 97.Bittles AH. Endogamy, consanguinity, and community disease profiles. Com-mun Genet. 2005;8:17–20. doi: 10.1159/000083332. [DOI] [PubMed] [Google Scholar]
  • 98.Shaw A, Hurst JA. “I don’t see any point in telling them”: Attitudes to sharing genetic information in the family and carrier testing of relatives among British Pakistani adults referred to a genetics clinic. Ethn Health. 2009;14:205–224. doi: 10.1080/13557850802071140. [DOI] [PubMed] [Google Scholar]
  • 99.Jalili IK, Smith NJD. A progressive cone-rod dystrophy and amelogenesis im-perfecta: A new syndrome. J Med Genet. 1988;25:738–740. doi: 10.1136/jmg.25.11.738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Basel-Vanagaite L, et al. Genetic screening for autosomal recessive nonsyn-dromic mental retardation in an isolated population in Israel. Eur J Hum Genet. 2007;15:250–253. doi: 10.1038/sj.ejhg.5201750. [DOI] [PubMed] [Google Scholar]
  • 101.Voight BF, Kudaravalli S, Wen X, Pritchard JK. A map of recent positive selection in the human genome. PLoS Biol. 2006;4:e72. doi: 10.1371/journal.pbio.0040072. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Sabeti PC, et al. Genomewide detection and characterization of positive selection in human populations. Nature. 2007;449:913–918. doi: 10.1038/nature06250. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 103.Williamson SH, et al. Localizing recent adaptive evolution in the human genome. PLoS Genet. 2007;3:e90. doi: 10.1371/journal.pgen.0030090. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 104.Hawks J, Wang ET, Cochran GM, Harpending HC, Moyzis RK. Recent accelera-tion of human adaptive evolution. Proc Natl Acad Sci USA. 2007;104:20753–20758. doi: 10.1073/pnas.0707650104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 105.Varilo T, Peltonen L. Isolates and their potential use in complex gene mapping efforts. Curr Opin Genet Dev. 2004;14:316–323. doi: 10.1016/j.gde.2004.04.008. [DOI] [PubMed] [Google Scholar]
  • 106.Zlotogora J, Shalev S, Habiballah H, Barjes S. Genetic disorders among Pales-tinian Arabs: 3. Autosomal recessive disorders in a single village. Am J Med Genet. 2000;92:343–345. doi: 10.1002/1096-8628(20000619)92:5<343::aid-ajmg9>3.0.co;2-i. [DOI] [PubMed] [Google Scholar]
  • 107.Zlotogora J. Multiple mutations responsible for frequent genetic diseases in isolated populations. Eur J Hum Genet. 2007;15:272–278. doi: 10.1038/sj.ejhg.5201760. [DOI] [PubMed] [Google Scholar]
  • 108.Bonnen PE, et al. Evaluating potential for whole-genome studies in Kosrae, an isolated population in Micronesia. Nat Genet. 2006;38:214–217. doi: 10.1038/ng1712. [DOI] [PubMed] [Google Scholar]
  • 109.Lowe JK, et al. Genomewide association studies in an isolated founder popu-lation from the Pacific island of Kosrae. PLoS Genet. 2009;5:e10000365. doi: 10.1371/journal.pgen.1000365. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Auton A, et al. Global distribution of genomic diversity underscores rich complex history of continental human populations. Genome Res. 2009;19:795–803. doi: 10.1101/gr.088898.108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Lyons EJ, Frodsham AJ, Zhang L, Hill AVS, Amos W. Consanguinity and suscep-tibility to infectious diseases in humans. Biol Lett. 2009;5:574–576. doi: 10.1098/rsbl.2009.0133. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 112.Crimmins EM, Finch CE. Infection, height, and longevity. Proc Natl Acad Sci USA. 2006;103:498–503. doi: 10.1073/pnas.0501470103. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from Proceedings of the National Academy of Sciences of the United States of America are provided here courtesy of National Academy of Sciences

RESOURCES