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Ann. Hum. Genet. (2000), 64, 479–490
Printed in Great Britain
479
A genome-wide family-based linkage study of coeliac disease
A. L. KING", J. Y. YIANNAKOU", P. M. BRETT#, D. CURTIS$, M.-A. MORRIS", A. M.
DEARLOVE%, M. RHODES%, S. ROSEN-BRONSON&, C. MATHEW', H. J. ELLIS"
P. J. CICLITIRA"
"Department of Gastroenterology (GKT), The Rayne Institute, St. Thomas’ Hospital, London SE1
7EH, UK#Periodontology, Eastman Dental Institute, UCL, 256 Gray’s Inn Road, London. WC1X 8LD, UK
$Academic Department of Psychological Medicine, St Bartholomew’s and the Royal London School of
Medicine and Dentistry, 3rd Floor Alexandra Wing, Turner Street, London E1, UK%UK HGMP Resource Centre, Hinxton, Cambridge CB10 1SB, UK
&Georgetown University Medical Centre, Washington, DC, 20007, USA'Paediatric Research Unit (GKT), Guy’s Hospital, London, SE1 9RT, UK
(Received 4.7.00. Accepted 21.9.00)
The susceptibility to develop coeliac disease (CD) has a strong genetic component, which is not
entirely explained by HLA associations. Two previous genome wide linkage studies have been
performed to identify additional loci outside this region. These studies both used a sib-pair design
and produced conflicting results.
Our aim is to identify non-MHC genetic loci contributing to coeliac disease using a family based
linkage study. We performed a genome wide search in 16 highly informative multiply affected
pedigrees using 400 microsatellite markers with an average spacing of 10 cM. Linkage analysis was
performed using lod score and model free methods.
We identified two new potential susceptibility loci with lod scores of 1±9, at 10q23±1, and 16q23±3.
Significant, but lower lod scores were found for 6q14 (1±2), 11p11 (1±5), and 19q13±4 (0±9), areas
implicated in a previous genome wide study. Lod scores of 0±9 were obtained for both D7S507, which
lies 1 cM from the γT-cell receptor gene, and for D2S364, which lies 12 cM from the CTLA4 gene.
Coeliac disease (CD) is a gluten sensitive
enteropathy in which dietary exposure to wheat,
barley, rye, and possibly oats results in small
bowel mucosal atrophy and consequent mal-
absorption. There is a strong genetic component
to disease development as demonstrated by a
disease concordance among monozygotic twins
of 70–100% (Polanco et al. 1981; Salazar de
Souza et al. 1987), and a 30–50% concordance in
Correspondence: Prof. PJ Ciclitira, Department ofGastroenterology (GKT), The Rayne Institute, St.Thomas’ Hospital, London SE1 7EH, United Kingdom.Tel}Fax: 020-7960-5529.
Email : paul.ciclitira!kcl.ac.uk
HLA identical siblings. In addition, the disease
prevalence among first degree relatives of pro-
bands is 10–15% (Ellis, 1981; Marsh, 1992),
compared with an estimated population preva-
lence in both Europe and in the USA of 1:250
(Greco, 1997; Not et al. 1998).
The contribution of the HLA region to this
genetic component has been well described. The
majority of cases in Northern Europe are
associated with possession of the HLA-B8-DR3-
DQ2 haplotype (Sollid & Thorsby 1993). How-
ever, in Southern Europe some cases are as-
sociated with a heterozygous combination of
HLA-DR5}-DR7 genes. A unifying hypothesis is
that CD is associated with the DQ alleles
DQA1*0501 and DQB1*0201 arranged in either
480 A. L. K
cis or trans configuration (Sollid et al. 1989) since
these alleles are present both in HLA-DR3 and in
HLA-DR5}DR7 subjects. In some ethnic groups
where there is a low prevalence of HLA-DR3 and
-DR7 up to 20% of cases are associated with the
HLA-DR4-DQ8 haplotype (Tighe et al. 1992;
Tighe et al. 1993). Here susceptibility is thought
to be conferred by the alleles DQA1*0301 and
DQB1*0302, although they appear to have less
effect on disease development than DQA1*0501
and DQB1*0201.
The prevalence of the disease susceptibility
HLA alleles in healthy control populations is
high (25%), suggesting that additional genetic
and}or environmental factors are required for
disease development. Several epidemiologic and
segregation studies have therefore proposed a
genetic model for the inheritance of coeliac
disease based on the involvement of at least one
non-MHC linked gene (Pena et al. 1978; Green-
berg & Lange, 1982; Houlston & Ford, 1996). We
have previously studied microsatellite markers
flanking the class II region of the MHC to
establish the parental origin of the susceptibility
DQ alleles. Results suggested that the HLA
association is probably due to the fact that it is
necessary to have these DQ alleles in order to
develop CD. The study did not support the
presence of either a rare mutation within the DQ
alleles or an HLA-linked gene nearby which
might be in linkage disequillibrium with the DQ
locus (Brett et al. 1999).
Two previous attempts to identify non-HLA
loci using genome wide linkage studies of affected
sib pairs produced conflicting results. Zhong et al.
(1996) performed an autosomal screen using 40
affected sib-pairs and a novel three-stage pro-
tocol. They identified five main areas of interest
apart from HLA on chromosomes 6p23, 7q31±3,
11p11, 15q26, and 22cen. Six further areas
produced weaker evidence for linkage: 3q27,
5q33±3, 6p23, 6p12, 19p13±3, 19q13±1, and
19q13±4. However the study used relatively small
numbers of sib-pairs, many from just one
kindred. The parents were not genotyped, and
this can produce a bias towards false positive
results not only if marker allele frequencies are
misspecified but also if population stratifications
or other causes of increased homozygosity are
present (Curtis & Sham, 1996). A study looking at
all 11 implicated regions failed to confirm
Zhong’s results except at the HLA region and on
chromosome 15q26, where weak evidence of
linkage of linkage was found (Houlston et al.
1997). Our unit also studied the five most positive
regions and failed to support linkage (Brett et al.
1998). Another genome-wide search was carried
out by Greco et al. (1998) using a larger sample of
110 affected sib-pairs. The study also examined
the five main regions proposed by Zhong et al. in
greater detail, and again failed to confirm linkage
in these areas. It did however propose further
areas of interest at 5qter and, in a subgroup of
patients, at 11qter.
The CTLA4}CD28 region on chromosome
2q33 has been independently implicated in an
association study from France (Djilali-Saiah et
al. 1998) and a linkage study from Finland
(Holopainen et al. 1999). These genes have a role
in controlling the T cell proliferative response,
and are associated with other autoimmune
diseases such as Type 1 diabetes and Graves
disease. However, a study of Italian and Tunisian
patients found no evidence of linkage or as-
sociation in this region (Clot et al. 1999).
Families
Families with two or more affected individuals
were recruited with the help of gastroentero-
logists throughout the UK, and as a result of an
advertisement in the UK Coeliac Society news-
letter. The sixteen most informative families
(Figure 1) were selected from a core sample of 21
highly informative pedigrees used in our previous
genetic studies. One hundred and twenty-six
individuals were genotyped of which 47 were
classed as affected on clinical grounds, having
been diagnosed according to the revised
ESPGAN criteria (Walker-Smith et al. 1990).
Unaffected relatives were screened for subclinical
disease using anti-gliadin (AGA) and anti-endo-
mysial antibodies (EmA), a strategy that has
Family-based linkage study of coeliac disease 481
Fig. 1 For legend see p. 482.
been shown to be highly effective (Corrao et al.
1994). IgA and IgG AGA were measured by
ELISA, while EmA were detected by immuno-
fluorescence using human umbilical cord. Both
assays were performed within our laboratory,
and have been previously shown to have sen-
sitivities and specificities in excess of 90%
(Yiannakou et al. 1997). Five individuals tested
positive and were asked to have a duodenal
biopsy. Two individuals accepted and the di-
agnosis was confirmed by the histological finding
of subtotal villous atrophy. Of the three others,
one had a strongly positive IgA and IgG AGA
and a strongly positive EmA, plus the HLA-DQ2
482 A. L. K
Fig. 1. (cont.) 16 Pedigrees used for genome wide linkage study of coeliac disease.
haplotype. This individual is estimated to have
about a 99% chance of having coeliac disease, so
was classed as being affected despite the lack of
histological confirmation. The other two indiv-
iduals also refused biopsy, one of whom had a
weakly positive EmA, and the other a positive
IgA AGA but negative EmA. These individuals
were classed as being of unknown affection
status. Since the original design of the study, all
individuals have been tested using IgA and IgG
tissue transglutaminase (tTG) antibodies (Diet-
rich et al. 1998; Sulkanen et al. 1998). Individuals
with positive IgG, but negative IgA tTG anti-
bodies were screened for IgA deficiency using a
total IgA assay. Total IgA levels and tTG
antibodies were assayed by ELISA. As a result of
this screening, no additional cases of CD, and no
IgA deficient individuals, were identified.
All family members were HLA typed for both
DQ alleles and all but one of the affected
Family-based linkage study of coeliac disease 483
individuals possessed the DQA1*0501
DQB1*0201 heterodimer in either cis or trans
configuration. The other individual possessed the
DQA1*0301 DQB1*0302 haplotype.
The study was approved by the St Thomas’
Hospital Ethics Committee and all subjects
provided informed consent.
HLA typing and Microsatellite Genotyping
DNA was isolated from peripheral blood
leucocytes. Every individual was HLA typed
using PCR-SSP (Olerup et al. 1993). PCR was
performed in 12±5 µl containing: 50 ng DNA,
12±5 pmoles of each primer, 1±0 m MgCl, 10 m
Tris-Cl pH 8±3, 50 m KCl, 200 µ of each
dNTP, 1 unit Taq polymerase (Advanced
Biotechnologies) and 0±01% gelatin. The amplifi-
cation was for 30 cycles of 94 °C for 20 s, 65 °Cfor 50 s and 72 °C for 45 s. The amplified products
were separated by agarose gel electrophoresis
and visualised by ethidium bromide staining and
UV fluorescence.
126 subjects were genotyped with markers
spanning the genome from the ABI LMS2
(MD10) mapping set. This set consists of fluor-
escently labelled PCR primer pairs for 400 highly
polymorphic dinucleotide-repeat microsatellite
markers chosen from the Genethon human
linkage map (Weissenbach et al. 1992; Gyapay et
al. 1994; Dib et al. 1996). The markers have an
average spacing of 10 cM and incorporate
reverse-primertailing chemistry (Brownstein et
al. 1996). PCR reactions were carried out for each
marker individually in a 5 µl reaction volume,
containing 50 ng of DNA, 2±5 m Tris-HCl pH
8±0, 50 m KCl, 250 µ each dNTP, 0±625 pmol
of each primer and 0±25 units of Amplitaq Gold
(Perkin–Elmer).
Reactions were performed on a Perkin Elmer
9600 thermal cycler or using an ABI 877
integrated thermal-cycler robot. A standard
thermocycling profile was used for all markers,
and consisted of an initial denaturation at 95 °Cfor 12 min, which was followed by 10 cycles each
of denaturation at 95 °C for 15 s, annealing at
55 °C for 15 s and synthesis at 72 °C for 30 s. This
was followed by 20 cycles each of denaturation at
89 °C for 15 s, annealing at 55 °C for 15 s and
synthesis at 72 °C for 30 s, and by a final
extension step at 72 °C for 10 min. PCR products
for selected sets of markers were pooled, ethanol
precipitated, and size-fractionated on a 5%
denaturing polyacrylamide gel (Amresco, Ohio)
by electrophoresis on an ABI 377XL sequencer.
PCR products were sized using the Genescan
version 2.1 program, and scored using the
Genotyper version 2.0 program. Genotyping was
checked for Mendelian errors using the
PEDCHECK program (O’Connell & Weeks,
1998).
Linkage analysis
Subjects were classified as affected, unaffected
or of unknown affection status according to their
clinical status. However all unaffected subjects
who were DQ2-negative were also classified as
unknown affection status for purposes of linkage
analysis. This is because we believe that a non-
HLA susceptibility locus cannot exert its effect
on disease development in the absence of a high
risk HLA type. This high risk HLA type is DQ2
in the majority (95%) of coeliac patients in this
population (Sollid & Thorsby, 1993). Of the 126
individuals genotyped, 52 were classed as un-
affected, 50 were classed as affected, and 24 were
classed as ‘unknown’.
Linkage analysis was carried out using stan-
dard lod score methods and using ‘model-free’
likelihood-based analysis. For lod score analyses
the VITESSE program was used (O’Connell &
Weeks, 1995), except for markers on the X
chromosome, for which the FASTLINK program
was used (Cottingham et al. 1993; Schaffer, 1996).
The penetrance was set to 0±8 with a phenocopy
risk of 0±0001. Each analysis was carried out
using a dominant and a recessive model, with the
disease allele frequency set to 0±01 and 0±14
respectively. These values were chosen fairly
arbitrarily to provide a plausible mode of
transmission, and a population prevalence that
conforms to the observed one. For the initial
484 A. L. K
screening analyses a set of two-point analyses
was carried out with each marker and a set of
three-point analyses was carried out with each
pair of adjacent markers. Overall lod scores were
calculated under the assumption of admixture to
produce a heterogeneity lod score (HLOD).
The ‘model-free’ analyses were carried out
using the MFLINK program (Curtis & Sham,
1995) and the accompanying MFMAP utility.
MFLINK calculates the likelihood of the data
with the disease locus at a given map position
using a range of different dominant and recessive
transmission models, all yielding the same dis-
ease prevalence (Kp) and parameterised using a
single variable, the heterozygote penetrance (f",
which is varied from 0 to 1). The MLOD is the
maximum lod score obtained for any of these
transmission models (maximised over f"). The
MALOD is the maximum admixture lod ob-
tained for any model (maximised over f"and the
proportion of families linked, alpha). The
MFLOD is the difference between the log like-
lihood maximised over both f"and alpha and the
log likelihood maximised over f"
but with alpha
constrained to 0. Two-point analyses were car-
ried out with each marker using a test position at
a recombination fraction of 0±05 with the marker,
and three-point analyses were carried out with
each pair of adjacent markers testing a position
midway between them.
An initial screen of all the markers and pairs of
markers was carried out using the above meth-
ods. Each marker and each pair of markers
yielded two admixture lod scores and three lod
scores from the MFLINK analyses (MLOD,
MALOD and MFLOD for the core and spectrum
models). Each type of lod score was converted to
a likelihood ratio statistic by multiplying by
2 ln(10)¯ 4±6. The statistic derived from the
conventional admixture lod score (HLOD) was
taken to be distributed as a 50:50 mixture of
χ##
and χ#!. As originally described (Curtis &
Sham, 1995), the likelihood ratio statistic from
the MFLOD was taken to be distributed as a
50:50 mixture of χ#"and χ#
!. Subsequently (Curtis
& Sham, 1999), it has been shown that
2 ln(10)*MLOD can be taken to be distributed as
χ#"and that 2 ln(10)*MALOD can conservatively
be taken to be distributed as a 50:50 mixture of
χ##
and χ#!. Using these distributions allows p
values to be derived so that the different types of
lod score can be compared more easily. All
regions which yielded a result significant at p!0±05 using any of the methods of analysis were
selected for further study.
Additional analyses from regions highlighted
by the screening analyses consisted of carrying
out overlapping five-point linkage analyses using
sets of four adjacent markers at a time. Het-
erogeneity lod scores were calculated assuming a
dominant and recessive transmission model as
described above.
When all of the two-point and three-point
heterogeneity lods and MFLINK lods were
scrutinised, regions containing the following
markers produced at least one statistic signif-
icant at p! 0±05: D1S214, D1S213, D2S364,
D4S412, D4S1572, D6S460, D7S507, D8S284,
D9S167, D9S158, D10S597, D11S904, D11S925,
D12S85, D14S288, D15S153, D16S3091,
D17S798, D18S452, D18S70, D19S210,
D22S423. These results are detailed in Table 1.
In several of these regions more than one marker
and}or method of analysis yielded positive lod
scores. The full set of results can be inspected
at web-site: www.mds.qmw.ac.uk.statgen}dcurtis}cdscan.html (embargoed till publication).
The regions highlighted by the two-point and
three-point screening analyses were investigated
more intensively using overlapping five-point
analyses and the results of these are presented in
Table 2. For some of the regions evidence for
linkage is maintained, while for others the five-
point lod score analyses do not support linkage.
The highest lod scores were produced by regions
around D10S597 and D16S3091, both of which
produced admixture lod scores approaching 2.
Other regions produced moderate or only weakly
positive lod scores. In some cases it can be seen
that most of the overall positive lod score results
Fam
ily-ba
sedlin
kage
study
ofcoelia
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se485
Table 1. Results significant at p! 0±05 from initial screen of two- and three-point conventional and model-free linkage analysis
Market at or nearto peak lod
Mapposition
(cM)Cytogenetic
locationa Most significant result obtainedNominalp value Comments
D1S214 9±5 1p36±3 Recessive three-point HLOD of 1±7 0±01 Nearby markers also moderately positiveD1S213 245±7 1q41 Three-point MALOD of 1±1 0±04D2S364 192±1 2q31±1 Two-point MALOD of 1±4 0±02D4S412 0±0 4p16±3 Three-point MALOD of 1±3 0±03D4S1572 67±4 4q22-4q24 Two-point MALOD of 1±6 0±01 More distal markers also positiveD6S460 81±1 6q14-6q15 Three-point MLOD of 1±7 0±005D7S507 31±1 7p15 Three-point MFLOD of 0±7 0±04D8S284 140±3 8q23-8q24±1 Three-point MLOD of 1±4 0±01D9S167 74±0 9q21±32-9q21±33 Three-point MFLOD of 0±8 0±03D9S158 158±8 9q34±3 Three-point dominant HLOD of 1±2 0±03D10S597 129±6 10q23±1 Three-point MALOD of 1±6 0±01 Positive results over wide regionD11S904 32±1 11p13 Three-point MALOD of 1±6 0±01D11S925 118±8 11q23±3 Three point MLOD of 1±2 0±02D12S85 66±5 12q13 Two-point recessive HLOD of 1±2 0±03D14S288 40±9 14q13-14q21 Two-point MFLOD of 1±1 0±01D15S153 62±9 15q21-15q22 Two-point MLOD of 0±9 0±04D16S3091 102±5 16q23±3 Two-point MALOD of 2±6 0±001D17S798 57±6 17q21±31 Three-point dominant HLOD of 1±2 0±03D18S452 17±2 18p11±31 Two-point MALOD of 1±0 0±05D18S70 136±1 18q23 Three-point dominant HLOD of 1±1 0±04D19S210 88±2 19q13±4 Two-point MFLOD of 1±1 0±01D22S423 42±3 22q13±1 Two-point MLOD of 1±5 0±009 Nearby markers also positive
a Approximate cytogenetic location derived from The Genome Database, http:}}www.gdb.org}
486
A.L
.K
Table 2. Results of five-point lod score analysis of the regions highlighted by initial screening analyses*
Marker ator near
to peak lod
Mapposition
(cM)Cytogeneticlocation†
Most significantresult obtained
Nominalp value Comments
D1S214 9±5 1p36±3 Recessive HLOD of 1±3 0±03 Lod 0±5 in F1, 0±8 in F2, 0±7 in F5, 0±7 in F8, 0±7 in F12, 0±9 in F14D1S413 213±8 1q31-1q32±1 Recessive HLOD of 0±8 0±08 Lod of 1±3 in F3, 0±7 in F5, 0±7 in F8, 0±7 in F9, 0±5 in F11D2S364 192±1 2q31±1 Recessive HLOD of 0±9 0±06 Lod of 0±5 in F1, 0±5 in F11, 0±9 in F14, 1±5 in F16D4S2935 9±1 4p16±1 Dominant HLOD of 0±7 0±1 Lod 1±8 in F3D4S406 78±0 4q26 Recessive HLOD of 1±2 0±03 Dominant HLOD is 1±0 with more proximal markersD6S460 81±0 6q14-6q15 Recessive HLOD 1±2 0±03 Moderately positive lods in about half the familiesD7S507 31±1 7p15 Dominant HLOD of 0±9 0±06 Lod of 1±2 in F1, 0±5 in F6, 0±8 in F9D8S284 140±3 8q23-8q24±1 Recessive HLOD of 0±6 0±1 Little support for linkageD9S283 85±3 9q22±1 Dominant HLOD of 1±0 0±05 Lod 1±4 in F2D9S158 158±8 9q34±3 Dominant HLOD of 0±6 0±1 Little support for linkageD10S597 129±6 10q23±1 Recessive HLOD of 1±9 0±006 Lod 0±5 in F1, 2±1 in F2, 0±9 in F3, 0±5 in F9, 0±7 in F12, 0±5 in F15D11S935 43±8 11p11 Recessive HLOD of 1±5 0±02 Lod 0±5 in F5, 0±5 in F15, 1±8 in F16D11S925 118±8 11q23±3 Dominant HLOD 0±5 NS‡ Little support for linkageD12S1617 48±0 12p12±1 Recessive HLOD of 0±4 NS Little support for linkageD14S275 20±2 14q11±2 Recessive HLOD of 0±5 NS Little support for linkageD15S153 62±9 15q21-15q22 Recessive HLOD of 0±2 NS No support for linkageD16S3091 102±5 16q23±3 Recessive HLOD of 1±9 0±006 Lod 0±5 in F1, 0±8 in F3, 0±5 in F4, 0±5 in F11, 0±7 in F12, 0±7 in F14, 1±3 in F16D17S798 57±6 17q21±31 Dominant HLOD of 1±0 0±05 Lod 0±9 in F3, 0±5 in F6, 0±9 in F16D18S452 17±2 18p11±31 Recessive HLOD of 0±7 0±1 Lod 0±7 in F5, 0±5 in F10, 0±5 in F11, 1±8 in F16D18S70 136±1 18q23 Dominant HLOD of 1±3 0±03 Lod 1±1 in F16D19S210 88±2 19q13±4 Dominant HLOD of 0±9 0±06 Lod 0±6 in F1, 0±5 in F6, 1±2 in F7D22S274 50±2 22q13±33 Recessive HLOD of 1±2 0±03 Dominant HLOD of 1±1 with more proximal markers
* The highest admixture lod score obtained from any of the six models tested (core, spectrum or combined; dominant or recessive) is shown, together with informationregarding the model which produces this score and the pedigree(s) which appear to make the main contribution to it.
† Approximate cytogenetic location derived from The Genome Database, http :}}www.gdb.org}‡ NS, not significant.
Family-based linkage study of coeliac disease 487
mainly from one or two families while in others a
number of families each makes a contribution.
The results are compatible with some of the
regions identified harbouring susceptibility loci,
some of which appear to be active in different
subsets of families. Nonetheless, it is impossible
to draw any firm conclusions as to which findings
represent genuine linkage.
Several regions were identified as being poss-
ibly of interest from the initial two- and three-
point analyses, but the five-point analyses serve
to focus attention on those which are most likely
to harbour susceptibility loci. When two-point
linkage analyses are carried out there may be
large differences between the results obtained
from adjacent markers which can simply reflect
random variation in the subset of meioses for
which each marker is informative. If one marker
happens to be uninformative for more of the
meioses which are recombinant than another
then it will provide more evidence for linkage. By
contrast, multipoint analysis can provide almost
complete information regarding the inheritance
of each chromosomal segment and should be far
less sensitive to this random noise. A disad-
vantage of multipoint analysis may be that
model mis-specifications are more likely to
produce incorrect results, especially spurious
exclusions (Risch & Giuffra, 1992). However
recently it has been suggested that such concerns
may be exaggerated (Greenberg et al. 1998), and
our own results include a number of positive lod
scores. We regard the positive lod scores we have
obtained from five-point analyses as being more
likely to reflect true linkages than would similar
lod scores derived from two-point analyses.
Coeliac disease is genetically a complex disease
in that there are likely to be several genes in
addition to the HLA locus, which may contribute
to disease development, either separately or
interactively. We have chosen to implement a
family-based design, because multiply affected
pedigrees have more power to detect linkage in
the presence of genetic heterogeneity than sib-
pairs (Risch, 1989) and seem generally powerful
unless susceptibility alleles are very common
(Durner et al. 1999). None of our lod scores
provides definitive evidence for linkage, although
this is hardly unexpected in a complex disease
where each individual gene may make only a
relatively small contribution to susceptibility.
Our most positive admixture lod scores, each
of 1±9, were found using markers on chromosome
10q23 and 16q23, and it may be that these areas
contain novel susceptibility genes not detected in
the two previous genome wide studies. Less
strongly positive lod scores were obtained from
several other regions, some of which are note-
worthy because of proximity to potential can-
didate genes or because they have supported
linkage in other studies.
The region on chromosome 2q gives only
modest evidence of linkage with a recessive
HLOD of 0±9 at D2S364. However this finding
may be of interest because D2S634 lies only
12 cM from the CTLA4 gene, which has been
implicated in previous association and linkage
studies of coeliac disease.
The evidence for linkage on chromosome 6 is
maximal around D6S460 with a recessive HLOD
of 1±2. This marker lies 8 cM from D6S430 and
19 cM from D6S465, markers spanning the region
on 6p12 implicated by Zhong et al. (1996). This
area produced a multipoint maximum lod score
(MLS) of 1±4 in their study. D6S460 lies 47 cM
from HLA, suggesting that the positive lod score
results from a separate susceptibility locus rather
than being due to an effect of HLA. This
hypothesis is supported by the fact that D6S276,
the marker in closest proximity to HLA, pro-
duces lower lod scores in our families. Zhong et al.
also reported an area on chromosome 19q13±4which produce an MLS of 1±8 around D19S418.
We have found modest evidence for linkage
around D19S210, which lies 6 cM telomeric of
D19S418, with a five-point dominant HLOD of
0±9. The region around D11S871 on chromosome
11p11 was one of the most positive in the Zhong
study, with an MLS of 3±9. In an earlier study
using a slightly different set of pedigrees we
reported negative results with two markers from
488 A. L. K
this region (Brett et al. 1998), but with the
current pedigrees and using 5-point analysis with
a fuller marker set we now obtain a recessive 5-
HLOD of 1±5 around D11S935, which lies 3 cM
proximal of D11S871. On both 19q13±4 and
11p11 our positive lod scores arise mostly from
non-overlapping sets of 3 the 16 families, which
might reflect locus heterogeneity although of
course such results could easily arise by chance.
Another strongly positive region in the Zhong et
al. (1996) study was an area on chromosome 22
near the centromere (D22S420). Our most posi-
tive result on chromosome 22 is a recessive
HLOD of 1±2, occurring at D22S274 which is
51 cM telomeric of D22S420. However more
proximal markers are also modestly positive and
it seems possible that the regions implicated by
both studies may overlap to some extent.
Overall our findings tend to agree with those of
Zhong et al. (1996) with respect to regions on 11p,
19q, 6q and 22q. Although these same areas
produced only negative results in Houlston et al.
(1997) sample of families such inconsistencies are
only to be expected when linkage studies of
diseases with complex inheritance are attempted,
and it may well be that at least some of these
regions do harbour susceptibility genes.
We have previously investigated the T-cell
receptor (TCR) genes, on account of the key role
forT-cell activation in coeliac disease (Yiannakou
et al. 1999). We used a slightly different pedigree
set and obtained largely negative results with
single intragenic markers at the α, β, and δ TCR
genes and with two markers flanking the γ TCR
gene. However in the current study we obtain a
five-point dominant HLOD of 0±9 around
D7S507, which is situated 1 cM from the TCR γ
gene. There is no suggestion of linkage at the
TCR β locus on chromosome 7q, and the region
around marker D14S275, which is situated 14 cM
from the TCR α and δ genes, is only very weakly
positive with five-point analysis. Although the
evidence for linkage to TCR γ is only modest it
nonetheless remains of some interest, given that
the γ}δ T cell populations are increased in the
epithelium of the small intestine in individuals
with untreated coeliac disease.
A search for other candidate genes in all the
areas achieving positive linkage results was
conducted using the National Centre for Bio-
technology Information website http :}}www.
ncbi.nlm.nih.gov}, and the associated utility
LocusLink http :}}www.ncbi.nlm.nih.gov}LocusLink. We did not find any known genes in
any of these areas with obvious immunological or
gut-related functions.
When dealing with complex diseases there are
limited conclusions that can be drawn from
linkage studies. We expect that most results
significant at p! 0±05 will have occurred simply
by chance, especially those obtained only from
two- or three-point analysis, those occurring
with only one marker and those obtained from
only one method of analysis. More highly
significant results obtained from five-point ana-
lysis may be more likely to reflect true linkage, as
may those results which replicate the findings of
previous studies. A number of our results seem
promising and we aim to follow them up by
investigating these regions in a new sample of 34
multiply-affected pedigrees, using additional and
more finely-spaced markers as appropriate.
The genome screen was performed at the MedicalResearch Council’s UK Human Genome Mapping ProjectResource Centre Linkage Hotel, and was funded by anMRC Linkage Hotel grant. A. L. King is funded by aBritish Society of Gastroenterology}Digestive DisordersFoundation 2 year Research Training Fellowship. P. M.Brett was funded by the National Institute of Healthgrant [ROI DK47716], and J. Y. Yiannakou and M.-A.-Morris were funded by the St Thomas’ Research andEndowment committee.
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