[Cancer Research 61, 6494-6499, September 1, 2001]
© 2001 American Association for Cancer Research
Molecular Biology and Genetics |
Role of HPC2/ELAC2 in Hereditary Prostate Cancer1
Liang Wang,
Shannon K. McDonnell,
David A. Elkins,
Susan L. Slager,
Eric Christensen,
Angela F. Marks,
Julie M. Cunningham,
Brett J. Peterson,
Steven J. Jacobsen,
James R. Cerhan,
Michael L. Blute,
Daniel J. Schaid and
Stephen N. Thibodeau2
Departments of Laboratory Medicine and Pathology [L. W., D. A. E., E. C., A. F. M., J. M. C., S. N. T.], Health Sciences Research [S. K. M., S. L. S., B. J. P., S. J. J., J. R. C., D. J. S.], and Urology [D. A. E., M. L. B.], Mayo Clinic and Foundation, Rochester, Minnesota 55905
 |
ABSTRACT
|
|---|
The HPC2/ELAC2 gene on chromosome 17p was recently
identified as a candidate
gene for hereditary prostate cancer (HPC). To confirm these findings,
we screened 300 prostate cancer patients (2 affected members/family)
from 150 families with HPC for potential germ-line mutations using
conformation-sensitive gel electrophoresis, followed by direct sequence
analysis. The minimum criteria for our families with HPC was the
presence of 3 affected men with prostate cancer. A total of 23 variants
were identified, including 13 intronic and 10 exonic changes. Of the 10
exonic changes, 1 truncating mutation was identified, a Glu216Stop
nonsense mutation. This nonsense variant was found in 2 of 3 affected
men in a single family. The remaining nine alterations included five
missense, three silent, and one variant in the 3' untranslated
region. To additionally test for potential associations of
polymorphic variants and increased risk for disease, we genotyped two
common polymorphisms, Ser217Leu and Ala541Thr, in 446 prostate cancer
patients from 164 families with HPC and 502 population-based controls.
The frequency of the Leu217 variant was similar for patients (32.3%)
and controls (31.8%), as was the frequency of the Thr541 variant
(5.4% among patients versus 5.2% among controls). In
contrast to previous reports, we found no association of the joint
effects of Leu271 and Thr541 (odds ratio, 1.04; 95% confidence
interval, 0.571.89). Overall, our results did not reveal any
association between these two common polymorphisms and the risk for
HPC. The finding of a nonsense mutation in the
HPC2/ELAC2 gene confirms its potential role in genetic
susceptibility to prostate cancer. However, our data also suggest that
germ-line mutations of the HPC2/ELAC2 are rare in HPC
and that the variants Leu217 and Thr541 do not appear to influence the
risk for HPC. Cumulatively, these results suggest that alterations
within the HPC2/ELAC2 gene play a limited role in
genetic susceptibility to HPC.
 |
INTRODUCTION
|
|---|
PC3
is one of the most common human cancers, occurring in as many as 15%
of men in the United States. It has been known for some time that PC
tends to cluster in some families (1, 2, 3, 4, 5, 6, 7)
. Segregation
analysis suggests that this familial clustering can best be explained
by at least one rare dominant susceptibility gene (8
, 9)
.
However, evidence also points to a complex genetic basis, involving
multiple susceptibility genes and variable phenotypic expression. On
the basis of linkage studies, five PC susceptibility loci have been
postulated to exist for HPC: HPC1 localized to chromosome
1q2425 (10)
, PCAP to 1q42.243
(11)
, CAPB to 1p36 (12)
,
HPCX to Xq2728 (13)
, and HPC20 to
20q13 (14)
. However, none of the putative susceptibility
genes have thus far been identified. Recently, Tavtigian et
al. (15)
demonstrated linkage to another site on
chromosome 17p. Positional cloning and mutational screening within the
refined interval identified a candidate PC predisposition gene,
HPC2/ELAC2. This gene was reported to harbor mutations that
cosegregated with PC in two kindreds. The function of this gene has yet
to be elucidated.
In addition to possible germ-line mutations, two common polymorphisms
(Ser217Leu and Ala541Thr) in HPC2/ELAC2 have been reported
to increase the risk for PC (15
, 16)
. These variants have
been estimated to be responsible for
5% of PC in the general
population.
To confirm whether alterations of HPC2/ELAC2 are associated
with HPC, we screened 300 PC patients (2 affected members/family) from
150 families with HPC (14)
for potential germ-line
mutation. We also examined the frequency of two common polymorphisms
(Ser217Leu and Ala541Thr) in a sample set consisting of 446 HPC
patients and 502 controls.
 |
MATERIALS AND METHODS
|
|---|
HPC Cases.
Ascertainment of PC families was described previously
(14)
. In brief, a total of 12,675 surveys were sent to men
who received a radical prostatectomy or radiation therapy at Mayo
Clinic from 1967 to 1997. From these surveys,
200 high-risk families
were identified. More detailed family histories were obtained over the
telephone, and three to four generation pedigrees were constructed.
Families having a minimum of 3 affected men with PC were enrolled for
additional study. For the purposes of this study, we have defined HPC
as those families having a minimum of 3 affected men with PC. Blood was
collected by a number of methods from as many family members as
possible, resulting in a total of 473 affected men from 181 families.
For 164 of these families, DNA was available on multiple living
affected men. For the remaining 17 families, DNA was available on only
a single affected individual. All men who contributed a blood specimen
and who had PC had their cancers verified by review of medical records
and pathological confirmation. One family has Hispanic ancestry; the
remainder are Caucasian.
For our mutation study, 2 affected members (the proband and 1 randomly
selected affected male) from each of 150 HPC families were selected for
additional analysis (total 300 patients). For our association study, we
used all affected men from the same generation (i.e.,
siblings and cousins) to avoid large differences in ages and secular
trends according to year of diagnosis. Thus, 446 HPC cases, consisting
of singletons, siblings, and cousins, were used for our association
study. The research protocol and informed consent forms were approved
by the Mayo Clinic Institutional Review Board.
Population Controls for Association Study.
The Olmsted County Study of Urinary Symptoms and Health Status among
men cohort was initiated in 19891990 and has been established and
maintained by our research team over the past 10 years (17
, 18)
. The initial cohort was drawn from the population of Olmsted
County, which serves as the laboratory for the Rochester Epidemiology
Project (19)
. The initial cohort was randomly selected
from an age- and residence (City of Rochester versus balance
of Olmsted County)-stratified sampling frame constructed from the
Rochester Epidemiology Project. Of the 2115 men from the initial
cohort, 475 were selected for a clinical urological examination
(in-clinic cohort; Ref. 20
). This examination included:
DRE and TRUS of the prostate, abdominal ultrasound for postvoid
residual urine volume, serum PSA and creatinine measurement, focused
urological physical examination, and cryopreservation of serum for
subsequent sex hormone assays. Any patient with an abnormal DRE,
elevated serum PSA level, or suspicious lesion on TRUS was evaluated
for prostatic malignancy. If the DRE and TRUS were unremarkable and the
serum PSA level was elevated (>4 ng/ml), a sextant
biopsy (three cores from each side) of the prostate was performed. An
abnormal DRE or TRUS result, regardless of the serum PSA level,
prompted a biopsy of the area in question. In addition, a sextant
biopsy of the remaining prostate was performed. Those men who were
found to be without PC based on this extensive work-up at baseline or
at any of the follow-up exams through 1994, with augmentation with
random samples from the population accrued over that time, were used as
the control population for this study (n = 502; Ref. 21
).
Control Population for Mutation Screening.
DNA was also available from 200 healthy blood bank donors. These
specimens were used to determine the frequency of variant alleles
identified through mutation screening.
PCR Primers.
On the basis of published sequences (GenBank accession no. AF304370 for
cDNA and AC005277 for genomic DNA), we designed 21 pairs of primers for
amplifying 23 of the 24 exons containing coding sequences. The primers
for mutational screening were generally selected to cover
50 bp on
either side of the coding sequence. The sequences of these primers are
listed on Table 1
.
CSGE and Direct Sequencing.
CSGE has been successfully used for mutation screening
(22, 23, 24)
. When compared with DNA sequencing, we have
observed the detection rate for CSGE to range between 85 and 100%,
depending on the gene analyzed (25)
. Because this
technique is dependent on formation of heteroduplexes, we mixed two
samples from different families to maximize this possibility and to
allow for more efficient screening. PCR was performed for 30 cycles
with initial denaturation at 94°C for 12 min, followed by 94°C for
20 s, 60°C for 30 s, and 72°C for 1 min. The reaction was
processed in total volume of 12.5 µl consisting of 200
µM each dATP, dGTP, and dTTP; 50 µM dCTP
and 0.1 µl of 33P-dCTP; 2 mM
MgCl2; 50 ng of template DNA; 1 x AmpliTaq Gold buffer II; and 0.5 unit of TaqAmpliGold DNA polymerase
(Perkin-Elmer). The PCR product was then denatured at 96°C for 5 min
and cooled to 65°C over 30 min. The reannealed product (5 µl) was
then mixed with 1 µl of loading dye (30% glycerol/0.25% bromphenol
blue/0.25% xylene cyanol FF). This mix (0.5 µl) was loaded on the
CSGE gel consisting of 15% of acrylamide/1,4-bis (acrollyl) piperazine
(19:1), 0.5 x TTE buffer [44.4 mM Tris,
14.25 mM Taurine, and 0.1 mM EDTA (pH 9.0)],
15% of formamide, and 10% of ethylene glycol. The gel was run at
30 W for 5 h. When altered bands were detected, the patient
samples were reamplified separately, and 200 ng of purified PCR product
and 3.8 pmol of sequencing primer were mixed and sequenced using an
ABI377 automated sequencer.
Genotyping.
Two polymorphisms (Ser217Leu and Ala541Thr) in the
HPC2/ELAC2 gene were genotyped in 446 cases with HPC and 502
population controls. The primer pair Exon7-TaqI/BfaI (Table 1)
was used to amplify a 227-bp region containing the Ser217Leu
variant. The primer pair Exon17-Fnu4HI was used to amplify a 197-bp
fragment containing the Ala541Thr variant. All PCR reactions were
carried out in a 12.5-µl reaction volume consisting of 1 x AmpliGold buffer II, 2 mM
MgCl2, 100 µM each
deoxynucleotide triphosphate, 6.25 pmol of each primers, 0.5 unit of
TaqAmpliGold DNA polymerase, and 50 ng of template DNA. PCR was
performed using a Tetrad thermal cycler (MJ Research, Cambridge, MA)
with the following conditions: initial denaturation at 94°C for 12
min, followed by 35 cycles at 94°C for 20 s, 60°C for 30 s, and 72°C for 1 min. Five µl of the PCR product was digested with
the appropriate restriction enzyme (TaqIa for Exon 7 and Fnu4HI for
Exon 17; New England Biolabs), according to the manufacturers
recommendation. Fragments were resolved on a 3% agarose gel and
recorded on a Gel Documentation System (Bio-Rad).
All genotyping results were confirmed by a second technique:
pyrosequencing (26)
. The PCR primers used for pyrosequencing were
identical to the those used for the RFLP analysis except that one of
the primer was biotin labeled to capture single-stranded molecules for
subsequent sequencing (Table1). The PCR products were mixed with
magnetic beads (Dynal Biotech, Oslo, Norway) and incubated at
65°C for 15 min. The immobilized strand was then separated in 0.5
M NaOH and transferred to annealing buffer (20
mM Tris-Acetate and 5 mM
MgCl2) containing 18 pmol of sequencing primer (Table 1)
.
Pyrosequencing was performed on a PSQ96 instrument (Pyrosequencing AB,
Uppsala, Sweden), according to the manufacturers instructions.
Statistical Analysis.
The association of each of the two polymorphisms (Ser217Leu and
Ala541Thr) with HPC was evaluated by two statistical approaches. The
first was a comparison of the genotype frequencies between cases and
controls using a test for trends in the number of variant alleles,
analogous to Armitages test for trends in proportions
(27)
, yet with the appropriate variance to account for the
correlated family data (28)
. The second method was logistic regression,
used to evaluate the main effects of the variants (coded as 0,1,2
according to the number of variants in the genotype) but adjusted for
the potential confounding factors of age and BMI. For these analyses,
age was defined as age at diagnosis for cases and age at blood draw for
the controls. BMI (at the time of recruitment for both cases and
controls) was calculated as weight in kg divided by height in meters,
squared. For the regression analyses, age was categorized using
quartiles of the combined distribution of cases and controls (four
quartiles: 4252, 5362, 6369, and 70+), and BMI was dichotomized
(
28 versus >28). To account for correlations among cases
from the same family, generalized estimating equations
(29)
were used, assuming an exchangeable working
correlation matrix. All reported Ps are two sided.
 |
RESULTS
|
|---|
Mutational Analysis of HPC2/ELAC2 Gene.
Among the 300 HPC patients that were screened for potential germ-line
mutations, a total of 23 variants were identified and confirmed by DNA
sequencing (Table 2)
. Among these variants, 13 were intronic, and 10 were exonic. Of the 10
exonic changes, 9 were located in protein-coding sequence and included
5 missense, 3 silent, and 1 nonsense alteration. The single nonsense
mutation in exon 7, Glu216Stop, was identified in pedigree 59. Because
this mutation created a restriction site (CGAG > CTAG)
recognized by Bfa I, we genotyped all available samples in this family
using a Bfa I-based PCR assay (Fig. 1)
. Sequence analysis confirmed that 2 of the 3 affected men were
carriers of this nonsense mutation. This alteration was not present in
the one female available for study.

View larger version (28K):
[in this window]
[in a new window]
[Download PPT slide]
|
Fig. 1. Segregation of Glu216Stop mutation in Pedigree 59. PCR
products were digested with Bfa I and resolved on 3% agarose gel. Two
of 3 affected men were found to carry the mutant allele. The
bottom half of the figure illustrates the fragments
generated as a result of the enzyme digest.
|
|
Among the five missense mutations, two (Ser217Leu and Ala541Thr) were
reported previously as common polymorphisms (15
, 16)
.
The remaining three variants were examined in all available men
(affected and unaffected) from carrier families for allele sharing. The
Arg211Gln variant in exon 7 was identified in 1 of the 150 families
(pedigree 82). Mutational analysis showed that only 1 of 3 affected men
carried this mutation. The Gly487Arg variant in exon 16 was found in 2
families, pedigrees 139 and 149. This variant allele was shared by 2 of
2 affected men in family 149 but in only 1 of 2 affected men in family
139. The Gly806Arg variant in exon 24 was found in 1 family
(pedigree135). Sequence analysis demonstrated that this variant allele
was present in 2 of 2 affected individuals in this family. To
additionally evaluate the frequency of these rare alleles, we tested
200 anonymous blood donors. We did not detect the variant alleles
Gln211 and Arg806 in any of these normal controls. However, the
Arg487 allele was observed in 2 of the 200 controls.
For the intronic variants (Table 2)
, we identified a 17-bp duplication
(CCCACACATCTTCACTA) within intron 5, 44 bp upstream of exon 6, in 13 of
148 mixed HPC samples (mixed samples refer to simultaneous CSGE
analysis of 2 patient specimens in a single PCR reaction; see
"Materials and Methods"). Subsequent analysis demonstrated this
duplication in 9 of 100 mixed normal blood bank controls. We also
identified a common 6-bp deletion/insertion polymorphism within intron
10, 182 bp upstream of exon 11. This deletion was found in 113 of 150
mixed cases and 71 of 100 mixed normal blood bank controls. A
mononucleotide repeat (A)1013 was found in
intron 1, 88 bp upstream of exon 2. The remaining variants were single
nucleotide substitution (Table 2)
.
We also analyzed all variant sequences using a splice site predictor
program4
but did not find any indication that any of these alterations affected
splicing.
Gene Association Studies.
Characteristics of the hereditary cases and the population-based
controls used for the gene association studies are presented in Table 3
. Hereditary cases were significantly older than controls (median 66
years versus 55 years respectively, P < 0.0001). Nonetheless, there was substantial overlap in the age
distribution between cases and controls. When subjects were grouped
according to age quartiles, the respective percentage of controls
versus cases in the four age groups were: 44.4
versus 3.8%, age
53 years; 26.1
versus 28.5%, age 5363 years; 12.0 versus
37.8%, age 6369 years; and 17.5 versus 29.9%,
age > 69 years. The cases also had a significantly
lower BMI than controls (median 26.6 versus 27.8
respectively, P < 0.0001). Because of these
differences, age and BMI were included in all logistic regression
models to statistically adjust for potential confounding effects.
The two missense variants, Ser217Leu and Ala541Thr, were genotyped in
446 HPC cases and 502 population controls to evaluate whether alleles
at these loci are associated with an increased risk of HPC. The
genotype frequencies among the controls of both variants fit Hardy
Weinberg proportions (exact test Ps of 0.76 for Ser217Leu
and 0.63 for Ala541Thr). The results of the case-control studies for
Ser217Leu are presented in Table 4
, and the results for Ala541Thr are presented in Table 5
. The Leu217 and Thr541 allele frequencies in 446
hereditary cases were 32.3 and 5.4%, respectively. These frequencies
did not differ statistically from those found in the unaffected
population-based control subjects, 31.8 and 5.2%, respectively
(Tables 4
and 5)
. The Thr541 variant was observed only in the
presence of Leu217 alleles, consistent with the findings by
Tavtigian et al. and Rebbeck et al. (15
, 16)
. Neither of these variants alone was associated with HPC
when all cases were compared with the controls or when subsets of
cases, stratified on nodal status, stage, and grade, were compared with
controls. The upper confidence limits for the ORs suggest that the
relative risk associated with the Ser217Leu variant allele
is <1.23 and that for the variant of Ala541Thr is <1.60. For Tables 4
and 5
, the allele covariates in the logistic regression models were
included as 0, 1, 2 (i.e., counts of the variant allele in
the genotypes), which is appropriate for a log-additive
(multiplicative) effect of the variant alleles. To avoid this
assumption, we reanalyzed the data using a simple indicator variable
for carriers of the variants (i.e., grouping homozygous and
heterozygous carriers into a single group); the adjusted ORs and CIs
for these analyses were 1.03 (0.80, 1.33) for Ser217Leu and 0.98 (0.61,
1.56) for Ala541Thr, similar to those reported in Tables 4
and 5
.
Because it is possible that the joint effects of the two variants could
have a much stronger influence on the risk of PC than either alone, we
performed logistic regression analyses similar to those reported by
Rebbeck et al. (16)
. However, no combination of
genotypes for these two loci were significantly associated with HPC
(Table 6)
.
 |
DISCUSSION
|
|---|
Analysis of the HPC2/ELAC2 gene revealed a germ-line
nonsense mutation (Glu216Stop) in 1 of our 150 PC families. This
nuclear family has nine siblings: six brothers, and three sisters (Fig. 1)
. Remarkably, eight of the nine siblings developed malignancies. Both
parents were also diagnosed with cancer. In all, 10 of 11 members of
this nuclear family suffered from cancer in their lifetimes. The
prevalence of malignancy in this family, and the rarity of the tumor
types (other than prostate and breast), suggests a genetic contribution
in this lineage.
Mutational analysis demonstrated that 2 of the 3 available affected men
in this family carried the nonsense mutation. The 1 unaffected male was
not a carrier. Unfortunately, we could not analyze the other 2 affected
men because they were deceased, and specimens were not available.
Because this mutation is predicted to cause a truncated protein, this
alteration is likely to be a causative germ-line change in this family.
However, labeling this missense mutation as a causative alteration
assumes an inactivating genetic mechanism, for which there is currently
no independent evidence. One possible explanation for the lack of a
germ-line mutation in the 1 affected male is the presence of a
phenocopy. This nonsense alteration was also not detected in the one
female available for testing. Because other affected family members
were unavailable for testing, it was not possible to additionally
explore the role of the Glu216Stop mutation in cancer formation for
this family.
In addition to the one nonsense mutation, three novel missense
mutations were also identified: Arg211Gln, Gly487Arg, and
Gly806Arg. However, only the Gly487Arg variant
was found in normal blood bank donors, suggesting that this allele may
be a rare polymorphism. The Arg211Gln alteration was found
in only a single individual and in none of the 200 normal blood bank
donors. Unfortunately, these data provide no evidence that any of these
variants are important in susceptibility to PC. Although germ-line
mutation of HPC2/ELAC2 does not appear to be a common cause
of HPC in the present study, identification of a nonsense mutation in 1
family with multiple cancers suggests a limited role of this gene in
HPC and, possibly, in other types of cancers as well. Overall, the low
frequency of mutations observed in the study is similar to that
reported by Tavtigian et al. (15)
, having found
a causative mutation in only 2 of their 42 kindreds with evidence for
linkage at 17p. In a study recently published by Xu et al.
(30)
, however, there was no evidence of linkage to
chromosome 17 in the total sample nor in any of the subgroups tested,
and there were no novel mutations in the coding region of
HPC2/ELAC2 in 93 probands with HPC.
In addition to examining the HPC2/ELAC2 gene for the
presence of specific mutations, we also examined two common
polymorphisms for their association with PC risk. Despite the recent
report by Tavtigian et al. and Rebbeck et al.
(15
, 16)
suggesting that the Leu217/Thr541 genotypes were
significantly more common among hereditary and unselected PC cases
compared with control subjects, we failed to detect any statistically
significant increased risk of these genotypes in our HPC cases. Both
Tavtigian et al. and Rebbeck et al. (15
, 16)
found the largest association when considering joint effect
of both variants. However a similar analysis for our data resulted in
no significant association with an OR of 1.04 (95% CI, 0.571.89;
Table 6
), with an upper confidence limit less than the OR of 2.37
reported by Rebbeck et al. (16)
. For our data,
we have
98% power to detect an OR of 2.37, with our observed
frequency of 10.4% of the controls who carried variants at both sites
and an effective sample size of 269 cases (to account for relationships
among our 446 HPC cases). A similar result was also reported recently
by Xu et al. (30)
. In their association
studies, both family-based and population-based tests failed to reveal
any statistically significant differences in the allele frequency of
these two polymorphisms between patients with PC and control subjects.
However, although not statistically significant, Xu et al.
(30)
did note a trend toward higher Leu 217 homozygous
carrier rates in patients (9.4%) than in the controls (7.7%; odds
radio, 1.3). The analysis of a larger set of samples may be necessary
to adequately address this question.
A potential source of bias in our study is that the controls tended to
be younger than the cases by
10 years on average. It is possible
that some of our controls will have PC in later years. However, our
regression adjustment for age differences failed to suggest that either
Leu217 or Thr541 were associated with PC. In addition to using age
quartiles to adjust for the effect of age, we added age and the square
of age to the regression models to have more refined adjustments for
age. All of these analyses were quite close to the results presented in
Tables 4
5
6
, suggesting that the imbalance of age is not a major source
of bias. Given the similar allele frequencies between our cases and
controls, it is very unlikely that our conclusions would differ if some
controls developed PC later in life. In fact, we would expect the ORs
to be even closer to unity if some of the controls are misclassified.
Similarly, the imbalance of BMI levels between cases and controls did
not seem to be a source of bias, because the estimated ORs were similar
whether or not BMI was included in the regression model.
The genetic complexity of PC, the presence of phenocopies within
high-risk pedigrees, and the late age at diagnosis all contribute to
the difficulty of identifying PC susceptibility genes. In this study,
we detected a nonsense mutation in the HPC2/ELAC2 gene,
confirming its potential role in genetic susceptibility to PC. However,
our data also suggests that germ-line mutations of the
HPC2/ELAC2 are rare in HPC and that the variants Leu217 and
Thr541 do not appear to influence the risk of HPC. In conclusion, our
data suggested that the HPC2/ELAC2 gene plays a limited role
in genetic susceptibility to HPC.
 |
ACKNOWLEDGMENTS
|
|---|
We thank Karen Erwin for her excellent secretarial support.
 |
FOOTNOTES
|
|---|
The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked advertisement in accordance with 18 U.S.C. Section 1734 solely to indicate this fact.
1 Supported by Grants CA 72818, AR30582, and
DK58859 from the Public Health Service, NIH. 
2 To whom requests for reprints should be
addressed, at Laboratory Genetics/HI 970, Mayo Clinic Rochester, 200
First Street SW, Rochester, MN 55905. Phone: (507) 284-4696; Fax:
(507) 284-0043; E-mail: sthibodeau{at}mayo.edu 
3 The abbreviations used are: PC, prostate cancer;
HPC, hereditary prostate cancer; DRE, digital rectal examination; TRUS,
transrectal ultrasound; PSA, prostate-specific antigen; CSGE,
conformation-sensitive gel electrophoresis; BMI, body mass index; OR,
odds ratio; CI, confidence interval. 
4 Internet address:
http://www.fruitfly.org/seq_tools/splice.html. 
Received 3/12/01.
Accepted 7/11/01.
 |
REFERENCES
|
|---|
-
Cannon L., Bishop D. T., Skolnick M. H., Hunt S., Lyon J. L., Smart C. R. Genetic epidemiology of prostate cancer in the Utah Mormon genealogy.. Cancer Surv., 1: 47-69, 1982.
-
Meikle A. W., Stanish W. M. Familial prostatic cancer risk and low testosterone.. J. Clin. Endocrinol. Metab., 54: 1104-1108, 1982.[Abstract]
-
Carter B. S., Carter H. B., Isaacs J. T. Epidemiologic evidence regarding predisposing factors to prostate cancer.. Prostate, 16: 187-197, 1990.[Medline]
-
Steinberg G. D., Carter B. S., Beaty T. H., Childs B., Walsh P. C. Family history and the risk of prostate cancer.. Prostate, 17: 337-347, 1990.[Medline]
-
Spitz M. R., Currier R. D., Fueger J. J., Babaian R. J., Newell G. R. Familial patterns of prostate cancer: a case-control analysis.. J. Urol., 146: 1305-1307, 1991.[Medline]
-
Goldgar D. E., Easton D. F., Cannon-Albright L. A., Skolnick M. H. Systematic population-based assessment of cancer risk in first-degree relatives of cancer probands.. J. Natl. Cancer Inst. (Bethesda), 86: 1600-1608, 1994.[Abstract/Free Full Text]
-
Whittemore A. S., Wu A. H., Kolonel L. N., John E. M., Gallagher R. P., Howe G. R., West D. W., Teh C. Z., Stamey T. Family history and prostate cancer risk in black, white, and Asian men in the United States and Canada.. Am. J. Epidemiol., 141: 732-740, 1995.[Abstract/Free Full Text]
-
Carter B. S., Beaty T. H., Steinberg G. D., Childs B., Walsh P. C. Mendelian inheritance of familial prostate cancer.. Proc. Natl. Acad. Sci. USA, 89: 3367-3371, 1992.[Abstract/Free Full Text]
-
Schaid D. J., McDonnell S. K., Blute M. L., Thibodeau S. N. Evidence for autosomal dominant inheritance of prostate cancer.. Am. J. Hum. Genet., 62: 1425-1438, 1998.[Medline]
-
Smith J. R., Freije D., Carpten J. D., Gronberg H., Xu J., Isaacs S. D., Brownstein M. J., Bova G. S., Guo H., Bujnovszky P., Nusskern D. R., Damber J. E., Bergh A., Emanuelsson M., Kallioniemi O. P., Walker-Daniels J., Bailey-Wilson J. E., Beaty T. H., Meyers D. A., Walsh P. C., Collins F. S., Trent J. M., Isaacs W. B. Major susceptibility locus for prostate cancer on chromosome 1 suggested by a genome-wide search.. Science (Wash. DC), 274: 1371-1374, 1996.[Abstract/Free Full Text]
-
Berthon P., Valeri A., Cohen-Akenine A., Drelon E., Paiss T., Wohr G., Latil A., Millasseau P., Mellah I., Cohen N., Blanche H., Bellane-Chantelot C., Demenais F., Teillac P., Le Duc A., de Petriconi R., Hautmann R., Chumakov I., Bachner L., Maitland N. J., Lidereau R., Vogel W., Fournier G., Mangin P., Cohen D., Cussenot O. Predisposing gene for early-onset prostate cancer, localized on chromosome 1q42.243.. Am. J. Hum. Genet., 62: 1416-1424, 1998.[Medline]
-
Gibbs M., Chakrabarti L., Stanford J. L., Goode E. L., Kolb S., Schuster E. F., Buckley V. A., Shook M., Hood L., Jarvik G. P., Ostrander E. A. Analysis of chromosome 1q42.243 in 152 families with high risk of prostate cancer.. Am. J. Hum. Genet., 64: 1087-1095, 1999.[Medline]
-
Xu J., Meyers D., Freije D., Isaacs S., Wiley K., Nusskern D., Ewing C., Wilkens E., Bujnovszky P., Bova G. S., Walsh P., Isaacs W., Schleutker J., Matikainen M., Tammela T., Visakorpi T., Kallioniemi O. P., Berry R., Schaid D., French A., McDonnell S., Schroeder J., Blute M., Thibodeau S., Gronberg H., Emanuelsson M., Damber J., Bergh A., Jonsson B., Smith J., Bailey-Wilson J., Carpten J., Stephan D., Gillanders E., Amundson I., Kainu T., Freas-Lutz D., Baffoe-Bonnie A., Van Aucken A., Sood R., Collins F., Brownstein M., Trent J. Evidence for a prostate cancer susceptibility locus on the X chromosome.. Nat. Genet., 20: 175-179, 1998.[Medline]
-
Berry R., Schroeder J. J., French A. J., McDonnell S. K., Peterson B. J., Cunningham J. M., Thibodeau S. N., Schaid D. J. Evidence for a prostate cancer-susceptibility locus on chromosome 20.. Am. J. Hum. Genet., 67: 82-91, 2000.[Medline]
-
Tavtigian S. V., Simard J., Teng D., Abtin V., Baumgard M., Beck A., Camp N., Carillo A., Chen Y., Dayananth P., Desrochers M., Dumont M., Farnham J., Frank D., Frye C., Ghaffari S., Gupte J., Hu R., Iliev D., Janecki T., Kort E., Laity K., Leavitt A., Leblanc G., McArthur-Morrison J., Pederson A., Penn B., Peterson K., Reid J., Richards S. M. S., Smith R., Snyder S., Swedlund B., Swensen J., Thomas A., Tranchant M., Woodland A., Labrie F., Skolnick M., Neuhausen S., Rommens J., Cannon-Albright L. A candidate prostate cancer susceptibility gene at chromosome 17p. Nat. Genet., 27: 172-180, 2001.[Medline]
-
Rebbeck T. R., Walker A. H., Zeigler-Johnson C., Weisburg S., Martin A. M., Nathanson K. L., Wein A. J., Malkowicz S. B. Association of HPC2/ELAC2 genotypes and prostate cancer.. Am. J. Hum. Genet., 67: 1014-1019, 2000.[Medline]
-
Chute C. G., Panser L. A., Girman C. J., Oesterling J. E., Guess H. A., Jacobsen S. J., Lieber M. M. The prevalence of prostatism: a population-based survey of urinary symptoms.. J. Urol., 150: 85-89, 1993.[Medline]
-
Jacobsen S. J., Guess H. A., Panser L., Girman C. J., Chute C. G., Oesterling J. E., Lieber M. M. A population-based study of health care-seeking behavior for treatment of urinary symptoms. The Olmsted County Study of Urinary Symptoms and Health Status Among Men. Arch. Fam. Med., 2: 729-735, 1993.[Abstract/Free Full Text]
-
Melton L. J., III. History of the Rochester epidemiology project. Mayo Clin. Proc., 71: 266-274, 1996.[Medline]
-
Oesterling J., Jacobsen S., Chute C., Guess H., Girman C., Panser L., Lieber M. Serum prostate-specific antigen in a community-based population of healthy men: establishment of age-specific reference ranges.. JAMA, 270: 860-864, 1993.[Abstract]
-
Jacobsen S. J., Jacobson D. J., Girman C. J., Roberts R. O., Rhodes T., Guess H. A., Lieber M. M. Treatment for benign prostatic hyperplasia among community dwelling men: the Olmsted County study of urinary symptoms and health status.. J. Urol., 162: 1301-1306, 1999.[Medline]
-
Korkko J., Annunen S., Pihlajamaa T., Prockop D. J., Ala-Kokko L. Conformation sensitive gel electrophoresis for simple and accurate detection of mutations: comparison with denaturing gradient gel electrophoresis and nucleotide sequencing.. Proc. Natl. Acad. Sci. USA, 95: 1681-1685, 1998.[Abstract/Free Full Text]
-
Couch F. J., Farid L. M., DeShano M. L., Tavtigian S. V., Calzone K., Campeau L., Peng Y., Bogden B., Chen Q., Neuhausen S., Shattuck-Eidens D., Godwin A. K., Daly M., Radford D. M., Sedlacek S., Rommens J., Simard J., Garber J., Merajver S., Weber B. L. BRCA2 germline mutations in male breast cancer cases and breast cancer families.. Nat. Genet., 13: 123-125, 1996.[Medline]
-
Ganguly A., Rock M. J., Prockop D. J. Conformation-sensitive gel electrophoresis for rapid detection of single-base differences in double-stranded PCR products and DNA fragments: evidence for solvent-induced bends in DNA heteroduplexes (Published erratum in Proc. Natl. Acad. Sci. USA, 91: 5217, 1994). Proc. Natl. Acad. Sci. USA, 90: 10325-10329, 1993.[Abstract/Free Full Text]
-
Park W., Price-Troska T., Butz M., Parc Y., Thibodeau S., Snow K. Multiplex CSGE: a universal mutation screening method.. J. Mol. Diag., 2: 221 2000.
-
Ahmadian A., Gharizadeh B., Gustafsson A. C., Sterky F., Nyren P., Uhlen M., Lundeberg J. Single-nucleotide polymorphism analysis by pyrosequencing.. Anal. Biochem., 280: 103-110, 2000.[Medline]
-
Sasieni P. From genotypes to genes: doubling the sample size.. Biometrics, 53: 1253-1261, 1997.[Medline]
-
Slager S., Schaid D. Evaluation of candidate genes in case-control studies: a statistical method to account for related subjects.. Am. J. Hum. Genet., 68: 1457-1462, 2001.[Medline]
-
Liang K-Y., Zegler S. Longitudinal data analysis using generalized linear models.. Biometrika, 73: 13-22, 1986.[Abstract/Free Full Text]
-
Xu J., Zheng S., Carpten J. D., Nupponen N., Robbins C. M., Mestre J., Moses T., Faith D., Kelly B., Isaacs S., Wiley K., Ewing C., Bujnovsky P., Chang B., Bailey-Wilson J., Bleecker E., Walsh P., Trent J., Meyers D., Isaacs W. Evaluation of linkage and association of HPC2/ELAC2 in patients with familial or sporadic prostate cancer.. Am. J. Hum. Genet., 68: 901-911, 2001.[Medline]