Several
hundreds of candidate genes have been studied however the majority of these genetic
variants have not been
replicated in sufficiently large case
control studies . Genetic variants
in the 1) fibrillin gene ,2) the Androgen
receptor,3) FTO gene 4) the insulin receptor ,5) the FSHR
gene, the 6) TNF alpha gene and some variants in the 7) lL-6 gene do confer a certain
risk for PCOS and have been replicated in sufficiently large studies or
meta analyses.
Sir, these are old genetic variants, WE knew
all such. What is new from you?? Ans:-More recently, GWAS has identified up to 20
genetic variants genes involved
in neuroendocrine, metabolic and reproductive pathways. Such
in depth studies also provided evidence
for shared
biologic pathways between PCOS and a
number of metabolic disorders menopause depression
and male- pattern balding and a
putative male phenotype.
There
is not much of overlap
between GWAS findings and mot functional
molecular studies. However most of the
identified SNPs seem to paly
a role in a pathway responsible
for trafficking and recycling of large
protein transmembrane receptors.
Moreover some promising SNPs
involved in gonadotropin
action have been identified which do not only constitute risk factors for PCOS
but also seem to influence
response to ovulation
induction treatment.
Last but not least evidence is accumulating that epigenetic mechanisms might as well play a role in the pathogenesis of PCOS either
during fetal programming or in later life via factors as
obesity and diet composition .
In
conclusion genetic studies have shown
that neuroendocrine,
metabolic and reproductive pathways
are involved in the pathogenesis of PCOS.
Genetic findings are
strikingly consistent between different PCOS
phenotypes. There is genetic
evidence for shared
biologic pathways between
PCOS and a number
of metabolic disorders, menopause, depression and
male- pattern balding , the
putative male phenotype.
Introduction
Polycystic
ovary syndrome is the
most common endocrine disorder
in women characterized by ovulatory
dysfunction , hyperandrogenism, and
polycystic ovarian morphology
. The diagnosis is made according to the so called 2003
Rotterdam consensus
criteria . The prevalence varies between
5 and 20 5 depending on
which population is assessed.
The incidence is generally lower in
unselected population based
samples compared to hospital
referred patients. The PCOS
phenotype might change with
increasing age or changes
in body mass. The syndrome is
also associated with other distressing
phenomena such as depression ,
negative self esteem and metabolic
dysfunction characterized by insulin resistance and compensatory hyperinsulinaemia. PCOS increases
the risk for type 2
diabetes mellitus, gestational diabetes
and other pregnancy related complications, Women with PCOS
also more often have
hypertension .Finally , if left untreated , due to unopposed estrogen exposure women
with PCOS are at an increased
risk to develop endometrial cancer.
Heritability
PCOS seems to
run within families and
although 50% of all sisters were
unaffected only 25% had a
similar phenotype compared
to the proband whereas the remaining 25% suffered from hyperandrogenemia percent . In subsequent studies
it was shown that brothers of women with
PCOS have dyslipidemia as well
as evidence for insulin resistance similar to that of
their proband sisters with PCOS. More
recently evidence emerged indicating
clustering of metabolic syndrome , hypertension and dyslipidemia in
mothers , fathers sisters,
and brothers of women with PCOS.
Twin
studies revealed similar
results indicating a familial
component in PCOS is due to genetic factors. The resemblance in monozygotic twin sisters
for PCOS was about twice as large as in dizygotic twin pairs
indicating a high degree of heritability.
Candidate gene
studies
In PCOS candidate
genes have been studies that
were involved in the biosynthesis and trafficking of androgens, genes related
to metabolic aspects of
PCOS and genes correlated
with inflammatory cytokines.
Currently more than 200 studies
have been reporting on
single nucleotide polymorphisms in genes
involved in these pathways.
Numerous studies have been reporting on other
SNPs in genes that are
associated with either the risk of having PCOS or one of its characteristic features. However the majority of these
studies are small and lack proper
replication studies and should
therefore be interpreted with
caution.
A
potential association of the D195884 marker in the fibrillin gene with PCOS
in Chinese Han women
was found . A meta analysis identified that allele 8 may increase
a women ‘s susceptibility to PCOS
. Genes involved in androgen
metabolism have been studied
extensively . Two SNPs in the promotor region of the genes encoding
for CYP17A1 and CYP11A1 were
associated with serum androgen levels in a subset
of Indian women. However a recent
metaanalysis failed to
verify this relationship . The androgen receptor has also
been studied in relation to PCOS
susceptibility and the
associated hyperandrogenism.
However a recent meta analysis
including 1536 PCOS patients and 1807 controls
revealed that the lengths
of CAG repeats in the AR contributed to hyperandrogenism in PCOS.
In a recent
meta analysis including 12 studies
only one single nucleotide
polymorphism in the Fat Mass
and Obesity associated gene did
significantly increase the risk
of PCOS in women. However , two
other SNP’s were associated with PCOS
only in a recessive model. Given the increased risk for type 2
diabetes and the insulin
resistance frequently encountered in
women with PCOS into account the
insulin receptor gene also
has been studied frequently . In a recent meta analysis a total of 20 case control studies
including 23, 845 controls and
17, 460 PCOS cases were analyzed
and only 17 SNPs were found to be associated with PCOS. Further subgroup
stratification by ethnicity and weight
did not lead to discovery of
significant correlation. Only one other
SNP e.g.
rs 2059807 was associated with PCOS.
The current meta analysis suggests
no significant correlation between both
SNPs rs1799817/rs2059807 was associated with PCOS. Insulin receptor
substrates although
significantly associate with PCOS in Japanese and Greek population
a recent meta analysis of 11
studies did not reveal
a significant association between
IRS 1 SNPs and the risk to develop PCOS.
A
recent meta analysis revealed
no significant association between
INS VNTR polymorphisms and the risk of PCOS
in the overall population .
There are
several FSH receptor
polymorphisms located in the FSHR
gene. The two most common are the Thr307 Ala and Asn680Ser
polymorphisms. A total of 11
studies were included in a recent metaanalysis . The Asn680Ser variant is significantly associated with treatment outcome
and pregnancy rates in
ovulation induction . no significant
association were found between
Thr30 7Ala and PCOS.
More
recently based on the fact that AMH
serum levels are increased
in women with PCOS SNPs in the AMH gene as well as in the AMH
Type ll Receptor gene have
been studied. Neither SNPs in
the AMH gene
nor those in the AMHR2 did
confer a heightened risk
for PCOS. The results of a
meta analysis including
13 studies , assessing the role of
different TNF alpha SNPs and PCOS
susceptibility suggests a positive
associations between one TNF alpha SNP and the risk of PCOS.
However no association were
detected between another 9 SNPs
in the TNF alpha gene and
the risk for PCOS. Another meta analysis including
a total of 14 studies
investigated the association of SNPs in the interleukins lL-6 and lL- 1 beta and did not
find a significant
relationship with the susceptibility for PCOS.
Genome Wide
Association Studies
The first
GWAS in PCOS was performed by a group based
at Shandong University in china.
The discovery set included 744
PCOS cases and 895 controls and subsequent
replications involved tow independent large cohorts of Han Chinese women with PCOS and controls. Three genome wide significant loci were
identified showing strong associations with PCOS located
at chromosome 2 and chromosome 9 . In a second GWAS
published one year later they identified 9 new loci that significantly associated
with PCOS. The PCOS associated
signals showed evidence of enrichment for candidate genes related to insulin signaling
gonadotropic hormone function and type
2 diabetes. Other candidate genes were related to calcium
signaling and endocytosis.
A few
years later a study in American
women from European descent was published identifying two new loci
reach mapping to chromosome 8 and
chromosome 11 and a known
locus on chromosome 9
previously found in Chinese GWAS.
The SNP
on chromosome 11 in the region of the
follicle stimulating hormone B
polypeptide gene was strongly
associated with the former PCOS NIH
diagnosis as well as with
luteinizing hormone levels. In the same
year a large European collaboration produced
another GWAS on PCOS. Six
signals for PCOS in or near known genes were identified . Mendelian randomization analyses
indicate causal roles in PCOS etiology for higher
BMI, higher insulin resistance
and lower serum sex hormone
binding globulin concentrations .
Furthermore, genetic
susceptibility to later
menopause is significantly associated
with higher PCOS risk
and PCOS. Susceptibility
alleles are significantly
associated with higher serum anti
Mullerian hormone concentration in girls.
Another GWAS in Korean women consisted of 976
PCOS cases and 946
controls with a replication cohort
including 249 PCOS cases and
778 controls . One novel
locus with genome wide significance and seven
moderately associated loci for
PCOS were identified. The strongest association
was on chromosome 8 .
The latter signal was located
upstream of the KHDRBS3 gene, which
is associated with
telomerase activity and could drive PCOS
and related phenotypes.
Another GWAS
compared patients with PCOS
with women from infertile couples due to tubal
occlusion or male factor
infertility genes
identified were the known THADA, DENND 1A and a new
locus in the TOX3 gene.
A
recent meta analysis cross ethnic effects of the
through GWAS identified
genetic variants showed
that overall for 12 of 17
genetic variants mapping to
the Chinese PCOS
loci similar effect sizes and
identical directions in PCOS patients
from Northern European ancestry
indicating a common genetic risk profile for PCOS across populations. Therefore it is
expected that large GWAS
in PCOS patients from Northern European ancestry will partly identify similar loci as the GWAS in Chinese
PCOS patients.
Indeed in the most
recent study in over 10,000 cases of PCOS and over 100,000
controls of European ancestry
identified only 3 novel loci
and replicated 11 previously reported loci . Strikingly this study
showed that the genetic
architecture was similar between PCOS diagnosed by
self report and PCOS diagnosed by NIH or non
NIH . Rotterdam criteria
across common variants at 13 loci. Identified variants
were associated with
hyperandrogenism , gonadotropin regulation and testosterone levels in affected women. Moreover
linkage disequilibrium score regression analysis revealed
genetic correlations with obesity , fasting insulin type 2 diabetes , lipid levels
and coronary artery disease,
indicating shared genetic architecture
between metabolic traits
and PCOS. Finally , Mendelian
randomization analysis indicate causal
roles in PCOS etiology for higher DMI, higher insulin
resistance and lower serum sex hormone binding
globulin concentrations. Furthermore
genetic susceptibility to
later menopause is significantly associated with higher PCOS risk and
PCOS susceptibility alleles are
significantly associated with
higher serum anti Mullerian hormone
concentration in girls.
Another
GWAS in Korean women consisted of 976 PCOS cases in 946 controls
with a replication cohort
including 249 PCOS cases
and 778 controls . One novel locus
with genome identified were the
known THADA, DENND1A and a new
locus in the TOX3 gene .
A
recent meta analysis cross ethnic
effects of the through GWAS identified genetic variants
showed that overall for 12 of 17
gene variants mapping
to the Chinese PCOS loci
similar effect sizes and identical directions in PCOS
patients from Northern
European ancestry indicating a common genetic risk profile
for PCOS across populations .
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