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Human Molecular Genetics Advance Access originally published online on January 25, 2006
Human Molecular Genetics 2006 15(5):789-795; doi:10.1093/hmg/ddi493
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© The Author 2006. Published by Oxford University Press. All rights reserved. For Permissions, please email: journals.permissions@oxfordjournals.org

Extended tracts of homozygosity in outbred human populations

Jane Gibson*, Newton E. Morton and Andrew Collins

Human Genetics Research Division, School of Medicine, University of Southampton, Southampton SO16 6YD, UK

* To whom correspondence should be addressed. Tel: +44 2380796939; Fax: +44 2380794264; Email: jg{at}soton.ac.uk

Received November 25, 2005; Accepted January 18, 2006


    ABSTRACT
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 
Long tracts of consecutive homozygous single nucleotide polymorphisms (SNPs) can arise in the genome through a number of mechanisms. These include inbreeding in which an individual inherits chromosomal segments that are identical by descent from each parent. However, recombination and other processes break up chromosomal segments over generations. The longest tracts are therefore to be expected in populations with an appreciable degree of inbreeding. We examined the length, number and distribution of long tracts of homozygosity in the apparently outbred HapMap populations. We observed 1393 tracts exceeding 1 Mb in length among the 209 unrelated HapMap individuals. The longest was an uninterrupted run of 3922 homozygous SNPs spanning 17.9 Mb in a Japanese individual. We find that homozygous tracts are significantly more common in regions with high linkage disequilibrium and low recombination, and the location of tracts is similar across all populations. The Yoruba sample has the fewest long tracts per individual, consistent with a larger number of generations (and hence amount of recombination) since the founding of that population. Our results suggest that multiple-megabase-scale ancestral haplotypes persist in outbred human populations in broad genomic regions which have lower than average recombination rates. We observed three outlying individuals who have exceptionally long and numerous homozygous tracts that are not associated with recombination suppressed areas of the genome. We consider that this reflects a high level of relatedness in their ancestry which is too recent to have been influenced by the local recombination intensity. Possible alternative mechanisms and the implications of long homozygous tracts in the genome are discussed.


    INTRODUCTION
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 
An individual is homozygous for a diallelic marker if both alleles at that marker are identical. In some individuals, long tracts can be found where homozygous markers occur in an uninterrupted sequence. The most obvious explanation for such tracts is autozygosity, where the same chromosomal segment has been passed to a child from parents who inherited it from a common ancestor. As recombination interrupts long chromosome segments over time, the length of a homozygous segment depends, in part, on the time since the last common ancestor of the parents. Therefore, in an inbred population we expect to see longer homozygous segments than in outbred populations.

The International HapMap project began in 2002 with the aim of cataloguing human variation by genotyping (Phase I) over a million single nucleotide polymorphisms (SNPs) in 269 individuals across four populations: CEPH Utah residents with ancestry from northern and western Europe (CEU), Han Chinese from Beijing (CHB), Japanese from Tokyo (JPT) and Yoruba from Ibadan, Nigeria (YRI). These data were periodically released into the public domain (http://www.hapmap.org) and provide a useful resource for genetic research. The completed Phase I provides SNP data with an average density of 1SNP every 5 kb. The second phase of data release comprises another 2.1 million SNPs with an average of 1 SNP every 600 bp (1Go).

We might expect to see relatively short segments of homozygosity in the apparently outbred HapMap populations. However, using the SNP genotype data we find regions of many megabases that are homozygous and therefore likely to be identical by descent. Long tracts of homozygosity have been recorded previously in CEPH individuals (2Go). Broman and Weber used 8000 short tandem-repeat polymorphisms (STRPs) in CEPH families and found several families with long homozygous segments >10 cM in length. They examined the role of possible typing error, back-mutation of STRPs, gene conversion events and the limitations imposed by locally low marker density in determining the limits of homozygous segments. They were able to determine relationships between ‘unrelated’ individuals in some pedigrees, but there remained a degree of autozygosity approaching or exceeding that expected in the progeny of a first cousin mating where relationships were not detected.

In contrast to STRPs, SNPs are thought to be of more ancient origin. We might therefore expect to see, in comparison, fewer and shorter homozygous tracts in SNP maps. However, this is partly offset by the relatively reduced mutation rate of these markers which might allow the longer tracts to remain unbroken over more generations. Various factors may influence the length, abundance and location of homozygous tracts including the mutation rate, population structure, uniparental disomy (UPD), natural selection, recombination and linkage disequilibrium (LD) patterns.

The extremely dense SNP typing in the HapMap sample provides a unique opportunity to examine the distribution, size and location of homozygous tracts and their relationship to recombination/LD patterns and also to consider the other mechanisms.

LD is the tendency for alleles to be inherited together more often than would be expected under random segregation. In the human genome, there are regions of strong LD broken up by small (punctate) regions of intense recombination (3Go). The pattern of LD can be represented by maps in which each marker is given a location in LD units (LDUs) (4Go). The LDU map is analogous to the linkage map in centiMorgans in that distances are additive and can be plotted against the physical map to reveal strikingly similar contours (5Go). The main determinant of the LD structure is recombination, shown by a comparison of genome-wide LDU and linkage map lengths which gave R2 values of 0.97 for chromosome arms and 0.94 for their deciles (6Go). The contour of the LDU map identifies steps which correspond to regions of high recombination and plateaus which reflect recombination cold regions (7Go). In addition to recombination, lesser effects, which distort the simple relationship between the LDU and linkage maps, involve selection, drift and mutation amongst others. The overall length of the LDU map reflects duration since an effective population bottleneck (8Go). LDU maps of the 22 autosomes and the X chromosome, based on HapMap release 16, can be found in the LD database (LDDB) (http://cedar.genetics.soton.ac.uk/public_html/).

In this paper, we characterize long tracts of homozygosity in the human genome represented by the HapMap sample and examine the relationship between the location and size of long tracts of homozygosity, recombination and LD patterns and also examine evidence for recent inbreeding in certain HapMap individuals.


    RESULTS
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 
Among the 209 unrelated individuals in four populations, we found a total of 1393 homozygous tracts greater than 1 Mb in length with a minimum SNP density of 1 SNP every 5 kb (Table 1), the 20 longest tracts are presented in Table 2. The longest tract over all populations is 17.9 Mb in an individual from the JPT sample. This tract comprises 3922 consecutive homozygous SNPs. The CHB sample has the smallest maximum tract length at 2.63 Mb.


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Table 1. The population sample and the number and maximum length of tracts examined
 

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Table 2. The 20 longest homozygous tracts in the sample
 
To determine whether the locations of homozygous tracts are related to the LD structure, we obtained the correlation between tract coverage in each 1 Mb segment of the genome (see Materials and Methods) and LDU/Mb. We also performed linear regression using LDU/Mb as the dependent variable and tract coverage as the independent variable. Analyses were carried out for each population sample separately and for the concatenated sample. All the correlations were significant at P<0.0001 with correlation coefficients of around –0.3 for all samples. The regression analyses were also significant (P<0.0001) with R2 values ranging from 8 to 10% (Table 3). To confirm that the location of homozygous tracts is directly related to the recombination pattern, we carried out the same analysis but with cM/Mb replacing LDU/Mb. This is important because the structure of the LDU map must partly reflect the presence of homozygous tracts in the sample. The linkage map is independent and therefore avoids any circularity. The linkage map used (9Go) comprises 14 759 polymorphic markers. Again all the results were significant (P<0.0001) with correlation coefficients of –0.2 and R2 values ranging from 4 to 5% (Table 4).


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Table 3. The relationship between LDU/Mb and tract coverage
 

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Table 4. The relationship between cM/Mb and tract coverage
 
We then considered whether a region of the genome with a large number of tracts in one population also had a large number of tracts in other populations. We examined the correlations between tract coverage in each megabase for all populations. The results show (Table 5) that all correlations are significant (P<0.0001) and the correlation coefficients range from 0.27 to 0.68. The YRI and CEU samples show the least similarity and CHB and JPT show the most similarity.


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Table 5. Correlation coefficients between populations for tract coverage of each megabase
 
Individuals were then examined within each population by counting the total number of homozygous tracts in each individual. The average tract count per individual was 4.4, 5.3, 8.3 and 8.4 for the YRI, CHB, CEU and JPT samples, respectively (Fig. 1). We found three individuals with particularly high tract counts, one in the CEPH sample (NA12874) and two in the Japanese sample (NA18992 and NA18987).


Figure 4931
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Figure 1. Graphs of the number of tracts (count) per individual for each population sample. The individuals have been ordered by number of tracts. The horizontal line indicates the means of 8.3 for CEU, 8.4 for JPT, 5.8 for CHB and 4.4 for YRI. The stars highlight the three individuals noted to have particularly high tract counts.

 
The amount of LD in regions where homozygous tracts occur was investigated for each individual. From analysis of the HapMap-derived LDU maps in the LDDB, the genome-wide averages for LDU/Mb are between 20.2 and 22.6 for the CEU, JPT and CHB populations and 28.4 for the YRI population (Table 6). We then computed, for all tracts and all individuals, the LDU and Mb lengths of the genome covered by tracts. As expected, from the co-localization of long homozygous tracts and regions of strong LD (low LDU/Mb) shown above, we find that the mean LDU/Mb in regions containing homozygous tracts is much lower than the genome average, being in the range 6.7–8.3 for the CEU, JPT and CHB populations and 15.4 for the YRI sample (Table 6). However, the same three individuals from the previous analysis are outliers (Fig. 2) as they have tracts in areas that do not have particularly high LD and, in fact, have levels of LD approaching the genome average for their populations, ranging from 15.1 to 17.6 LDU/Mb. To examine if this is significantly different from the LDU density in tract regions generally, we used a regression model weighted by physical size in Mb. LDU/Mb was the dependent variable and x was the independent variable with x=1 for individual NA12874 and x=0 for other individuals in the CEU sample. The same model was used for the JPT sample with two variables to represent the two outliers. We find that the three individuals NA12874, NA18992 and NA18987 have tracts in regions of significantly higher LDU/Mb (less LD) than is typical for homozygous tract regions generally. Regression analysis shows that NA12847 explains 42% of the variance in LDU/Mb in the CEU sample and NA18992 and NA18987 together explain 89% of the variance in LDU/Mb in the JPT sample.


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Table 6. Comparisons of the strength of LD across the genome with the corresponding values in regions with homozygous tracts
 

Figure 4932
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Figure 2. A graph of average LDU/Mb in the regions covered by homozygous tracts in each individual against the total length of homozygous tracts in that individual in Mb. The symbols/shades represent the four population samples. The three individuals circled are individuals noted to have high LDU/Mb (less LD) in the regions covered by tracts and much longer total tract length than the other individuals in their respective population samples.

 

    DISCUSSION
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 
Our studies show that homozygous tracts are remarkably common and long even in the unrelated individuals from the apparently outbred populations represented in the HapMap sample. The evidence indicates that homozygous tracts are generally found in regions of relatively extensive LD and locally low rates of recombination. The presence of relatively short haplotype ‘blocks’, regions of low haplotype diversity, has been well known for several years (10Go). Indeed it is the characterization of such regions and subsequent selection of haplotype tagging SNPs, which underpins the International HapMap project (1Go). However, the presence of much longer homozygous tracts (lengths greatly in excess of 1 Mb) was perhaps not widely anticipated.

Homozygous tracts can occur when a child inherits the same chromosomal segment from both parents, who themselves inherited it from a common ancestor. There are two broad mechanisms by which this could happen. One explanation is that the parents have a relatively recent common ancestor, so there has been little opportunity for recombination to break up the segment. A second possibility is that any relationship between the parents is distant but a lack of recombination in the region (and therefore high LD) has enabled the ancestral segment to persist intact.

Our analysis considers only homozygous tracts that exceed 1 Mb in length, but there are numerous smaller segments many of which must contribute to the low haplotype diversity characterized in blocks. Given this, the true level of homozygosity in the genome is likely to be much greater than indicated by our analysis of the more extreme examples. Our results show that extensive LD correlates strongly with a higher proportion of homozygous tracts in that region. This is because genomic regions with low recombination allow particularly long chromosome segments to remain intact over time, increasing the chance that they come together in an individual as a homozygous tract.

Analysis of tract coverage between populations shows that tracts tend to be co-localized in all populations. Patterns of LD are also highly similar across human populations (5Go) which presumably reflects, in part, the close similarity between historical and current recombination patterns for all populations. The co-localization of recombination hot-spots/regions in all human populations allows long homozygous tracts to persist in the shared intervening regions which have low meiotic activity. As might be expected, the YRI population has the fewest long tracts per individual (4.4), reflecting the longer time over which recombination has been breaking haplotypes in this sub-Saharan African population. Among ‘out-of-Africa’ populations, the CHB sample has the fewest long homozygous tracts and the shortest maximum tract length at 2.63 Mb (Table 1), consistent with lower genome-wide average LD (higher LDU/Mb) than the JPT and CEU samples (Table 6). This may be the consequence of a variety of mechanisms including differences in population history, for example, in the timing, number and intensity of population bottlenecks and/or differences in social conventions such as reduced acceptance of first-cousin marriages.

We assume that all four HapMap samples are representative of relatively outbred human populations and homozygosity is not particularly exaggerated due to a limited number of haplotypes or ‘atypical’ individuals represented in the sample. However, there is little information about the individuals represented in the data and sample sizes of 44–60 unrelated individuals are fairly small. It is therefore conceivable that the samples are not truly representative of their respective populations. Three individuals stand out as having particularly long tracts and high tract counts; one in the CEPH sample and two in the Japanese sample (Fig. 2). We have shown that the tracts in these individuals are not associated with regions of elevated LD, in contrast to tracts in other individuals. Therefore, it is reasonable to suggest that a different mechanism is involved and we speculate that recent inbreeding is likely. That is, the parents of these individuals have an unknown relationship which goes back a comparatively small number of generations. In the most extreme case (NA18992), long homozygous tracts cover ~4% of the genome of that individual. As only contiguous tracts longer than 1 Mb are included here, the total proportion of identical-by-descent homozygosity is likely to be much higher. However, this is difficult to quantify without detailed pedigree information over a number of generations. Autozygosity of 6% is to be expected in the offspring of a first cousin mating (2Go). We note that the same two Japanese individuals have been identified independently by the HapMap Consortium (11Go). The same analysis did not identify the CEPH individual (NA12874) however. The authors surmised that the two Japanese individuals showing ‘an above average degree of cryptic relatedness’ are likely to have a relatively unimportant influence on the characterized LD structure as they form only a small proportion of the individuals in the sample. It also seems reasonable to assume that the impact on the LDU map by including these individuals is modest although we did not test this directly.

We have considered the role of inbreeding and the persistence of ancestral segments indicated by homozygosity in regions of low recombination. However, there are other mechanisms which might contribute to the observed extent of homozygosity. There are different types of UPD; isodisomy is the form where a child inherits two copies of the same chromosome from the same parent. This results in the child being homozygous at all loci. Segmental isodisomy can occur when a part, but not the whole, chromosome is affected. UPD can cause various diseases when it occurs in a region with imprinted genes and can also cause rare recessive disorders. A case of maternal UPD of chromosome 1 was found by chance (12Go) as there were no apparent phenotypic effects. This suggests that as well as isodisomy for rare recessive genes or UPD in imprinted regions, some cases of UPD may be asymptomatic and perhaps quite common. The phenomenon has been little studied where not associated with a disease; however, scanning methodologies to detect UPD are being developed, initially as a diagnostic tool, but could be used to answer this question in the future (13Go,14Go).

Heterozygous deletions can sometimes be detected by apparent homozygosity over an extended region. For example, a novel 8 kb deletion in a patient with glycogen storage disease type II was found using this method (15Go). Cell line transformations are also known to result in ‘loss’ of parts of the genome. Apparent homozygosity may serve as an indicator of the presence of a deletion but other molecular techniques are required to be definitive. SNPs with missing data were not included in this analysis, however, when a run of markers with one allele missing is detected, this may also indicate a deletion. Deletions might account for a few homozygous tracts but we presume that none of the long tracts we have examined here reflect cryptic deletion.

Particularly long haplotypes that are common in a population may be evidence of a region that has undergone selection. The HapMap Consortium (11Go) found evidence for selective sweeps in 19 genomic regions (their supplementary Table 4). The top-scoring result from the Consortium screen was a selective sweep in the CEU population for a region between 136.75 and 137.25 Mb of chromosome 2 around the lactase (LCT) gene. This gene is known to influence ability to digest lactose in European-derived populations. Bersaglieri et al. (16Go) found that two alleles that are associated with lactase persistence mark a long common haplotype found at high frequency in European populations. The reduced haplotypic diversity associated with regions that have undergone a selective sweep will be expected to be reflected in a greater proportion of individuals with homozygous tracts in the population undergoing selection. For the 500 kb LCT region (11Go), we find that 16 individuals (26.7%) in the CEU sample have homozygous tracts compared with fewer individuals: 8 (17.8%), 3 (6.8%) and 1 (1.7%) in the HCB, JPT and YRI samples, respectively. This is consistent with the evidence for a selective sweep in this region as presented by HapMap, although, of course, our evidence is not independent as it uses the same data. Bersaglieri et al. (16Go) noted long stretches of homozygosity around the haplotype containing the lactase-persistence alleles that did not appear to simply reflect a locally low recombination rate. Selection may contribute to the homozygous tracts characterized here but low levels of recombination are likely to have had a greater influence for the majority of tracts.

The HapMap data undergo extensive QC procedures but genotyping or reporting errors are still possible. Errors in the original Phase I data were corrected in the 16b, 16c and 16c.1 versions. We did not repeat this analysis with those data, however we did confirm that the longest tract detected (17.9 Mb) was still present and was not the result of a problem with the data. After this analysis was completed, the HapMap consortium released data for Phase II of the project with over three times as many SNPs in total as the Phase I data, including 3 902 623 genotypes that passed QC for the JPT sample. We traced the 17.9 Mb homozygous tract in individual NA18992 to see if it remained intact. We found that the same region which had 3922 SNPs in Phase I had 12 778 SNPs in Phase II. We found 11 heterozygotes breaking the tract into 12 pieces, the largest of which was 5.619 Mb. No two heterozygotes were adjacent. One marker of the 11 was present in the Phase I data as ‘CC’ but in Phase II is recorded as ‘CT’. The presence of only 11 heterozygotes in a contiguous tract of 12 778 otherwise homozygous SNPs spanning 17.9 Mb is interesting. We suggest that these 11 comprise typing errors and/or relatively recent mutations. We assume therefore that the much higher density genotyping in Phase II will break some of the very long tracts but the strong relationships to the LD structure and evidence for inbreeding will be preserved. However, it is likely that other long homozygous tracts are interrupted by only small numbers of heterozygotes which are either typing errors or more recent mutations. This supports our assertion that the degree of homozygosity we have characterized is conservative, and ancestrally derived homozygous tracts are likely to be more numerous and longer than we have described.

We conclude that homozygous tracts are common, in some cases very long and in a few cases are a signature of cryptic relatedness within an individual. Otherwise, long homozygous tracts reflect the presence of long ancestral haplotypes that remain intact because of locally low rates of recombination or, more rarely, other mechanisms such as UPD, deletions and selection. It is conceivable that the abundance of homozygous regions and their contribution to long regions of high LD will significantly reduce our ability to fine map disease genes using association. However, further analysis and perhaps larger population samples will be required to determine the potential impact on genome-wide association studies.


    MATERIALS AND METHODS
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 
The data sample
We examined the genome-wide SNP genotypic data from the 209 unrelated individuals from the four HapMap populations. These were the parents of the trios from the CEU and YRI populations and the unrelated individuals from the JPT and CHB populations. The HapMap release 16 (Phase I) data were used (non-redundant files that have passed quality controls downloaded from http://www.hapmap.org) and include 3 970 277 genotypes across the 22 autosomes for all four populations. These data were further filtered to remove genotypes with significant deviation from Hardy–Weinberg ({chi}2>10) and SNPs with minor allele frequencies below 0.05. The total number of individuals and genotypes from each population comprised 60 individuals and 728 353 genotypes from the CEU sample, 60 individuals and 744 006 genotypes from the YRI sample, 45 individuals and 644 060 genotypes from the CHB sample and 44 individuals and 639 460 genotypes from the JPT sample.

LDU map construction
Genome-wide LDU maps (4Go,6Go) were constructed from these data. LDU maps are constructed from multiple pairwise association data using a model which describes the decline in association, {rho}, with distance {rho}=(1–L)Me{varepsilon}d+L. The three parameters in the model are: M, the association at zero distance reflecting association at the last major bottleneck, L, the association at large distance reflecting ‘background’ LD and {varepsilon} which measures the exponential decline of LD with distance. The LDU distance is calculated as {varepsilon}idi for each interval i of d kilobases between a pair of SNPs and LDU locations are computed by summation over intervals. The LDMAP program used is available at http://cedar.genetics.soton.ac.uk/public_html/.

Characterization of homozygous tracts
An extended homozygous tract was defined as an uninterrupted sequence of homozygous SNPs spanning at least 1 Mb in a single individual. SNPs with one or two missing alleles were ignored. The average (kb) SNP density across all populations is 0.23, i.e. approximately 1 SNP every 5 kb. As a locally low SNP density may artificially extend a homozygous tract, tracts with an average SNP density of less than 0.2 were excluded. Also omitted were the centromeric regions and acrocentric p-arms for the same reason.

Tract coverage
To calculate ‘tract coverage’, the 22 autosomes were split into 1 Mb segments. The shorter segments remaining at the ends of the chromosomes were included in the last segment. For each population sample, the mean tract coverage of each megabase was computed by summation of the length (kb) of all homozygous tracts overlapping the 1 Mb segment. This value was then divided by the number of individuals in that population sample (Fig. 3). The LDU/Mb ratio was also calculated for each segment using the LDU map for that population.


Figure 4933
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Figure 3. The method for computing the mean tract coverage of each megabase, for each population sample beginning on chromosome 1. The grey box is the first 1 Mb segment of the chromosome and each horizontal line represents a long homozygous tract. The position of tracts in four individuals is shown and all four have tracts covering or overlapping the first 1 Mb segment. The total lengths of the parts of tracts overlapping or containing the 1 Mb segment are summed (in kilobases) and divided by the number of individuals in the population sample to give the mean tract coverage of the megabase segment for that population. This continues along chromosome 1 and for all the other autosomes.

 

    ACKNOWLEDGEMENTS
 
This work was supported by a research grant from the Biotechnology and Biological Sciences Research Council (UK).

Conflict of Interest statement. None declared.


    REFERENCES
 TOP
 ABSTRACT
 INTRODUCTION
 RESULTS
 DISCUSSION
 MATERIALS AND METHODS
 REFERENCES
 

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