Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview
-
Upload
jose-alfredo -
Category
Documents
-
view
212 -
download
0
Transcript of Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview
![Page 1: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/1.jpg)
Single nucleotide polymorphisms of the FTO gene and cancer risk:an overview
Marta Elena Hernandez-Caballero •
Jose Alfredo Sierra-Ramırez
Received: 13 November 2013 / Accepted: 5 November 2014
� Springer Science+Business Media Dordrecht 2014
Abstract The FTO (fat mass and obesity-associated)
gene has a strong linkage disequilibrium block, within
which SNPs have been identified that are involved in the
development of obesity. Recently some of these variants
have also been associated with cancer. However, identifi-
cation of the possible mechanisms that could explain these
associations has proven to be elusive. It has been found that
FTO polymorphisms can regulate the expression of genes
at large kilobases of distance as well as the expression of
the FTO gene itself, and regions for transcription factor
binding. To date it has been observed that variants
rs9939609, rs17817449, rs8050136, rs1477196, rs6499640,
rs16953002, rs11075995 and rs1121980 are associated
with the risk of developing cancer. Some studies have
produced negative results when comparing the same
polymorphisms, but make a simple association between
polymorphic variants and cancer, have proved difficult
because this relation is by nature multifactorial. A certain
degree of variation resulting from the improper design of
studies or processing of data can lead to erroneous con-
clusions. However, it is now unquestionable that certain
FTO polymorphisms regulate genetic expression related to
cancer susceptibility, although this field is just beginning to
be understood.
Keywords SNP � FTO � Cancer risk factors � Obesity
Introduction
The use of new technology has revolutionized the way of
finding genetic disorders. For example, thanks to genome
wide association studies (GWAS) it has been established
that there is an association of more than 150 loci with
increased susceptibility to cancer [1] and of other loci with
susceptibility to obesity. It is now known that the FTO
gene, originally identified as a susceptibility gene for type
2 diabetes, has multiple single nucleotide polymorphisms
(SNPs) present in intron 1 that are associated with obesity
in a robust manner. The association of SNPs to cancer has
been both positive and negative, possibly because cancer is
a complex multifactorial entity. Interestingly, SNPs
involved in carcinogenesis are commonly located outside
of the protein-coding sequences that are known to affect
the direct regulation of gene expression. However, it is
likely that this regulation is combined with nutritional and
environmental factors to trigger cancer development. In
this review, we described recent insights into the associa-
tion of FTO SNPs with various types of cancer.
Obesity and cancer
There has been a very notable change in lifestyle in
developed as well as developing countries in the last
20 years. The tendency in both cases is to excessive con-
sumption of high-calorie foods together with increasing
sedentariness, which has led to a three-fold increase in the
prevalence of overweight and obesity [2, 3].
Obesity is a polygenic disease influenced by inherited
and environmental factors. This condition tends to trigger
different types of diseases, such as metabolic syndrome,
fatty liver, heart disease and bone problems. Of particular
M. E. Hernandez-Caballero (&)
Facultad de Medicina, Benemerita Universidad Autonoma de
Puebla, C.P. 72420 Puebla, Mexico
e-mail: [email protected]
J. A. Sierra-Ramırez
Seccion de Estudios de Posgrado e Investigacion, Escuela
Superior de Medicina, Instituto Politecnico Nacional,
C.P. 11340 Mexico, Mexico
123
Mol Biol Rep
DOI 10.1007/s11033-014-3817-y
![Page 2: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/2.jpg)
interest in the present review is its role in increasing the
risk of developing certain cancers. It has been shown that
the risk of cancer is 50 % higher in obese women than
those with normal weight [4] and is age-dependent [5]. Of
all cancer deaths in the U.S. in 2003, 14 % in men and
20 % in women were attributable to overweight and
obesity, especially colon, rectum, esophagus, kidney,
pancreas, gallbladder, ovary, endometrium, liver, prostate
and hematological malignancies [6]. There are various
mechanisms that may explain the association between
obesity and increased cancer risk. Obesity is associated
with insulin resistance and the hyperinsulinemia compen-
satory increase in the production of growth factors, which
in turn stimulates mitogenesis and consequently carcino-
genesis [7], multiple signaling pathways, oxidative stress
and inflammatory processes.
For example, it has been suggested that obesity is clo-
sely associated with breast cancer, which is now the disease
with the highest mortality rate among women worldwide.
Among postmenopausal women obesity is considered a
risk factor in up to 30–50 % of the cases of this type of
cancer [8, 9]. Several epidemiological studies linking
weight and cancer have shown that obesity correlates with
poor prognosis, greater tumor size, faster metastasis to the
lymph nodes, and high tumor grade [4]. Although obesity
promotes hormone-dependent tumors, it does not affect
local levels of estrogen in postmenopausal breast tissue.
Recently it was shown that, regardless of the BMI, there is
a decreased risk of breast cancer in postmenopausal women
receiving estrogen orally [10].
Biology of FTO polymorphisms
Through a GWAS in 2007 it was discovered that there are
obesity susceptibility loci [11]. The genes present in these
sites may be of two types: those that affect the function of
the central nervous system and those acting at a peripheral
level through adipose tissue [12].
Among the genes present in obesity susceptibility loci is
the fat mass and obesity-associated (FTO) gene. This gene,
located in chromosome 16q12.2, encodes for a 2-oxoglu-
tarate (2-OG) Fe2?-dependent dioxygenase, which also acts
as a DNA-demethylase. FTO has a *40-kb linkage dis-
equilibrium (LD) block in intron 1, which has been conclu-
sively associated with an increased risk of obesity in people
with European ancestry [13, 14]. The FTO protein is
expressed in many tissues: mesenteric fat, adipose, pancre-
atic, liver, and especially hypothalamus. It contributes to the
regulation of the global metabolic rate, energy expenditure,
energy homeostasis [15], body size and body fat accumula-
tion. Mutations in FTO that lead to a loss of function cause
severe growth retardation, leanness, increased metabolic rate
and hyperphagia. The loss of a functional copy can be
compatible with being lean or obese [16, 17].
FTO has SNPs in non-coding regions, which like those
present in coding regions can affect RNA processing,
interrupt the start and end of transcription, and alter the
stability and translation impact on promoter sequences,
enhancers and silencers. An SNP in the transcription factor
binding site may increase or decrease the binding of tran-
scription factors, leading to allele specific gene expression
[18].
The first attempt to elucidate the function of FTO SNPs
was reported by Stratigopoulous et al. [15]. They found
that rs8050136 is in a regulatory region that is a cut-like
homeobox 1(CUTL1) binding site and that rs8050136A,
associated with lower body mass, preferentially binds to
CUTL1 in human fibroblast DNA. Silencing of the tran-
scriptional factor CUTL1 caused decreased FTO expres-
sion in fibroblasts. A couple of years later, Jowett et al. [19]
showed that rs8050136 does not influence FTO expression
but instead expression of retinoblastoma-like 2 (RBL2)
gene *270 kb proximal to FTO. Moreover, given the
finding of this research group of a strong correlation of
allele rs8050136A and RBL2 expression levels, there is a
potential role for RBL2 in the mediation of biological
consequences of this genetic variant. Later, Berulava and
Horsthemke [20] analyzed allelic transcript levels of RBL2
in individuals heterozygous and homozygous for
rs8050136, but did not find any influence from variants at
FTO on RBL2 gene expression. In another study they
demonstrated that FTO SNPs affect the expression of the
gene itself. In a study of skin fibroblasts and peripheral
blood, they analyzed the expression level of risk allele A of
SNP rs9939609 and non-risk allele T. The results show that
the presence of the risk allele is associated with increased
levels of the FTO transcript, suggesting that in intron 1
there may be a cis-regulatory site that regulates FTO [21].
Recently Smemo et al. [22] published evidence that sup-
ports previous studies. They found that intron 1 of FTO
interacts with the promoter sequence of the iroquois
homeobox 3 (IRX3) gene (located 500 kb away) and could
regulate its expression when certain variants are present
within FTO. Hence, it is clear that FTO SNPs have the
ability to alter the binding site for transcriptional factors
and regulate gene expression.
FTO polymorphisms and cancer
Two years after the first publications showing an associa-
tion between variants in the FTO gene and obesity-related
traits, researchers began to explore the possible association
between these variants and cancer risk in obese people of
various ethnic groups. Brennan et al. [23] attempted to
Mol Biol Rep
123
![Page 3: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/3.jpg)
minimize the bias generated by linking overweight and
cancer that result from weight changes during a lifetime
and age-related incidence of disease. They used genetic
variant SNP rs9939609 FTO in a study of 7,000 people
from Central and Eastern Europe, finding that variant A
was associated with a lower risk of lung cancer and a
minimal increase in risk for kidney cancer. Furthermore,
Lewis et al. [24] suggested that the rs9939609A allele is a
protective factor against the risk of prostate cancer, reduces
the likelihood of low-grade cancer, and may increase the
probability of high grade cancer, but statistical significance
for this study is very weak.
Subsequently, the search for an association between
FTO variants and other cancers intensified. Nock et al. [25]
analyzed a Caucasian and an African-American population
and found that in the Caucasian population strong LD
variants were associated with increased BMI between the
ages of 30 and 40, but were unrelated to colorectal ade-
noma. Among the African Americans in the study, there
was an association between colorectal adenoma and the
presence of one or two copies of the FTO SNPs
rs8050136A and rs17817449G. The presence of two copies
of these variants was associated with BMI. However, an
analysis of FTO variants rs17817449 and rs9939609 in
Slavs, Italians, African Americans, Japanese Americans,
Latinos, Native Hawaiians and Whites in three other
studies failed to find any association between these variants
and colorectal cancer or colorectal adenoma [26–28].
Tang et al. [29] proposed that there is a relationship
between the risk of pancreatic cancer and polymorphic
variants of FTO in obesity and diabetes. Analyzing a
majority non-Hispanic white population, they associated
rs9939609A and rs8050136A variants with a reduced risk
of pancreatic cancer in people with normal BMI (less than
25 kg/m2, P = 0.001) and an increased risk in patients
with a higher than normal BMI (C25 kg/m2, P = 0.0015),
which suggests that BMI is a determining factor. A month
later Pierce et al. [30] showed a significant association
(OR = 1.12, CI: 1.02–1.23, P = 0.02) between the
rs8050136A variant and pancreatic cancer based on a case
study in European populations. However, they concluded
that it is necessary to examine a broader sample to give
greater power to their discovery.
Interestingly, a meta-analysis performed by Li et al. [31]
involving studies of different cancer types and FTO poly-
morphism associations gave no positive results, except for
pancreatic cancer based on the results of Tang et al. and
Pierce et al. When polymorphisms were analyzed in a
Japanese population, Lin et al. [32] found a 1.5-fold greater
risk of pancreatic cancer with the TT genotype than with the
rs9939609TA genotype. In addition, with rs9939609AA
and a history of diabetes there was a significantly elevated
risk, but the association with BMI was not statistically
significant (in contrast with findings in Western countries).
Hence, the association between developing of cancer and
being overweight and/or having certain FTO polymor-
phisms appears to be closely related to ethnicity.
Observational epidemiological studies have established
a link between thyroid cancer risk and obesity. However,
attempts to unravel the biological mechanisms by which
this link is established have not produced any clear results.
Kitahara et al. [33] analyzed 575 tag SNPs in 23 obesity-
related gene regions in a case–control study and found no
association between obesity-related FTO genetic poly-
morphisms and the risk of papillary thyroid cancer.
Regarding an association of FTO variants with endo-
metrial and breast cancer, Delahanty et al. [34] studied
seven loci that included FTO SNPs. Trying to establish a
relationship between obesity and endometrial cancer risk in
Chinese women, they found that FTO SNPs had no asso-
ciation with BMI, but a strong association with endometrial
cancer. This suggests a possible role of FTO in this cancer
through a pathway other than obesity. Lurie et al. [35] had
similar results in a case–control analysis of the variant
rs9939609AA in 3,601 non-Hispanic women. Interestingly,
Gaudet et al. [36] had previously analyzed 189 FTO tag
SNPs in endometrial cancer and found no association in
417 Polish patients.
Due to the alarming increase in the prevalence of
obesity and breast cancer, an association has been sug-
gested between this cancer and poor nutritional status. High
values of BMI and WC are considered risk factors for this
type of cancer [37]. In an attempt to establish a connection
between FTO polymorphic variants and breast cancer,
seven studies have been conducted in different populations.
A positive association was found only in the case of
African American women [38]. Despite the fact that Ka-
klamani et al. [39] reported a significant association
between FTO rs1477196 and breast cancer risk in pre-
dominantly Caucasian patients, Kusinska et al. [40] found
no such relation with the FTO variants rs993909 and
rs9930506 in a sample of 134 Polish women. The same
negative result was obtained by Brooks et al. when they
tried to find a relationship between FTO variants associated
with BMI and the subsequent risk of second primary breast
cancer [41]. This is probably because the mechanisms for
the development of metastasis do not involve the same risk
factors as first tumor emergence.
In a meta-analysis of ER-negative breast cancer, Garcia-
Closas et al. [42] found that FTO variant rs11075995,
which is in an enhancer region of intron 1, appears to be
activated in normal cells and in triple-negative cancer
tumor cells. This variant has been associated with BMI, but
the relation with etiological pathways for ER-negative
breast cancer is unknown. However, when analyzing SNPs
in 67 breast cancer susceptibility loci, Long et al. [38]
Mol Biol Rep
123
![Page 4: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/4.jpg)
Ta
ble
1O
bes
ity
-rel
ated
sin
gle
nu
cleo
tid
ep
oly
mo
rph
ism
so
fth
eF
TO
gen
ean
dth
eir
po
siti
ve
asso
ciat
ion
wit
hca
nce
rri
ske
Gen
oty
pe
Can
cer
Co
un
try
NO
R,
95
%C
I,P
BM
Ire
late
dR
ef
rs9
93
96
09
AA
Dec
reas
edri
sko
flu
ng
can
cer
Cen
tral
and
Eas
tern
Eu
rop
e(C
auca
sics
)
2,2
50
0.9
2,
0.8
4–
1.0
0,
59
10
-18
Yes
Bre
nn
anet
al.
[23]
Incr
ease
dri
sko
fk
idn
eyca
nce
r9
54
1.4
4,
1.0
9–
1.9
0,
19
10
-4
Yes
rs9
93
96
09
AH
igh
-gra
de
pro
stat
eca
nce
rU
nit
edK
ing
do
m(C
auca
sics
)3
,36
51
.16
;0
.99
–1
.37
,0
.07
aY
esL
ewis
etal
.[2
4]
rs1
78
17
44
9G
Dec
reas
edri
sko
fco
lore
ctal
aden
om
aU
SA
(Afr
oam
eric
ans)
1,2
28
0.6
1,
0.3
9–
0.9
5,
0.0
3Y
esN
ock
etal
.[2
5]
rs8
05
01
36
A0
.59
,0
.38
–0
.93
,0
.02
rs9
93
96
09
AA
Incr
ease
dri
sko
fen
do
met
rial
can
cer
US
A,
Po
lan
d,
Can
ada,
Au
stra
lia
(Cau
casi
cs)
8,8
76
1.1
7,
1.0
3–
1.3
2,
0.0
1Y
esL
uri
eet
al.
[35
]
rs8
05
01
36
AC
Pan
crea
tic
can
cer
risk
US
A(N
on
-His
pan
icw
hit
es,
His
pan
ics,
Bla
cks,
oth
ers)
2,2
45
0.7
2,
0.5
5–
0.9
6(\
25
kg
/m2)
Yes
Tan
get
al.
[29]
rs9
93
96
09
AT
1.5
4,
1.1
4–
2.0
9([
25
kg
/m2)
0.7
8,
0.5
9–
1.0
3(\
25
kg
/m2)
1.6
0,
1.1
8–
2.1
7([
25
kg
/m2)
rs8
05
01
36
AR
isk
of
pan
crea
tic
can
cer
inT
2D
Eu
rop
ean
ance
stry
3,5
65
1.1
2,
1.0
2–
1.2
3,
0.0
2N
Db
Pie
rce
etal
.[3
0]
rs1
47
71
96
GG
Ris
ko
fb
reas
tca
nce
rU
SA
(Cau
casi
an,
Bla
cks,
His
pan
ics,
Asi
an,
oth
ers)
71
82
.61
,1
.56
–4
.37
,0
.00
1Y
esK
akla
man
iet
al.
[39]
rs6
49
96
40
AR
isk
of
end
om
etri
alca
nce
rA
sia
(Sh
ang
hai
)2
,88
11
.26
,1
.08
–1
.48
,0
.00
4N
oD
elah
anty
etal
.[3
4]
rs9
93
96
09
AR
isk
of
pan
crea
tic
can
cer
Jap
an7
60
1.6
6,
0.7
0–
3.9
0c
No
Lin
etal
.[3
2]
rs1
69
53
00
2A
Ris
ko
fm
elan
om
aU
SA
,E
uro
pe,
Au
stra
lia
67
,98
01
.16
,1
.11
–1
.20
,0
.01
5N
oIl
eset
al.
[44]
rs1
10
75
99
5R
isk
of
bre
ast
can
cer
ER
-E
uro
pea
nan
cest
ry8
7,3
56
1.1
1,
1.0
7–
1.1
5,
49
10
-8
No
Gar
cıa-
Clo
sas
etal
.[4
2]
rs1
78
17
44
9R
isk
of
bre
ast
can
cer
ER
?U
SA
(Afr
ican
-Am
eric
an)
3,3
00
1.3
2,
1.0
9–
1.6
0,
0.0
04
No
Lo
ng
etal
.[3
8]
rs1
12
19
80
T/C
Ris
ko
fb
reas
tca
nce
rB
razi
l2
48
4.5
6,
1.8
3–
11
.35
,0
.00
13
No
dd
aC
un
ha
etal
.[4
3]
rs9
93
96
09
A/T
ND
un
det
erm
ined
aA
uth
ors
sug
ges
tth
atth
isal
lele
sig
nifi
can
tly
incr
ease
sth
eri
sko
fh
igh
-gra
de
bu
tn
ot
low
-gra
de
can
cer,
des
pit
eth
ew
eak
pv
alu
eb
On
lyre
late
dty
pe
2d
iab
etes
susc
epti
bil
ity
gen
etic
var
ian
tsw
ere
asso
ciat
edw
ith
pan
crea
tic
can
cer
cA
uth
ors
did
no
tin
clu
de
the
p-v
alu
ed
Sh
ow
edsi
gn
ifica
nce
wh
enan
aly
zed
tog
eth
erw
ith
ano
ther
SN
P(M
C4
R)
eO
nly
SN
Ps
that
are
asso
ciat
edw
ith
can
cer
hav
eb
een
con
sid
ered
Mol Biol Rep
123
![Page 5: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/5.jpg)
observed an association between FTO and breast cancer
only with ER-positive (OR = 1.32, CI: 1.09–1.60,
P = 0.004) breast cancer, finding no association with the
ER-negative cancer subtype. They attribute the distinct
results of these two studies to the size of the sample, which
was further reduced when stratifying patients by tumor
subtypes.
Finally, in a Brazilian population it was found that when
FTO SNPs rs1121980 and rs9939609 were analyzed in
combination with the presence of SNP rs17782313 in the
melanocortin-4 receptor (MC4R), a 4.9-fold higher risk of
developing breast cancer was observed [43]. Recently, Iles
et al. [44] found that other FTO SNPs present in an intron
(e.g., intron 8) not associated with obesity may be associ-
ated with the risk of developing cancer (Table 1 summa-
rizes all FTO SNPs positively associated with some type of
cancer).
Conclusions
Making a simple association between polymorphic variants
of FTO and cancer has proven difficult; indeed, it seems
that such an association is multifactorial. There have been
failures in study design that make some results of ques-
tionable reliability. One factor is the sample size, which in
some studies is too small to allow for good stratification
and data analysis. For example, the way that variables are
stratified in the comparison of genders may hide differ-
ences between men and women within an ethnic group.
Meta-analyses have important limitations as the heteroge-
neity among studies included and how data are pooled.
Therefore, even if these analyses yield a more accurate
approximation than individual studies, they can produce
biased estimates and thereby erroneous conclusions can
result. Other factor is ethnic background, especially com-
paring populations with great genetic differences such as
people of African and European/Asian ancestry. Another
factor is the genetic origin of tumors compared; for
example in the case of breast cancer studies, in the same
group of study are included spontaneous and hereditary
tumors and the tumor ER status, this last is tightly related
with ethnicity as already demonstrated by the work of
Garcia-Closas et al. and Long. In fact, based on results
obtained from obesity studies, FTO is an important obesity
gene in populations of Caucasian or Asian ancestry, but in
African populations the phenotypic variation is so high that
it made difficult to establish the association of the gene as
an important obesity factor.
The factor history of obesity is important as well, although
excess adiposity may be more related to the promotion of
tumor growth rather than with onset. Although a strong block
of linkage disequilibrium in intron 1 seems to be implicated
in obesity, more research is needed to explore the relation-
ship of this factor with cancer. On the other hand, a new field
of study has opened in regard to FTO SNPs in intron 8 that are
not associated with obesity but could be a risk factor for the
development of cancer. Large-scale fine mapping studies
may be useful for identifying other cancer susceptibility loci
unrelated to obesity, but it is well known how difficult is to do
fine-mapping regions of LD like in FTO gene. In the case of
GWAS finding an association between a susceptibility loci
and cancer, it has been difficult to identify the molecular
mechanism responsible. Just as emerging evidence has
supported an association of FTO and its intronic variants
with obesity, it is likely that FTO polymorphisms have a
pivotal role in cancer as well.
References
1. Sur I, Tuupanen S, Whitington T et al (2013) Lessons from
functional analysis of genome-wide association studies. Cancer
Res 73:4180–4184
2. Finucane MM, Stevens GA, Cowan MJ et al (2011) National,
regional, and global trends in body-mass index since 1980: sys-
tematic analysis of health examination surveys and epidemio-
logical with 960 country-years and 9.1 million participants.
Global burden of metabolic risk factors of chronic diseases col-
laborating group (Body Mass Index). Lancet 337:557–567
3. Haidar YM, Cosman BC (2011) Obesity epidemiology. Clin
Colon Rectal Surg 24:205–210
4. Calle EE, Kaaks R (2004) Overweight, obesity and cancer: epi-
demiological evidence and proposed mechanisms. Nat Rev
Cancer 4:579–591
5. Ligibel JA, Strickler HD (2013) Obesity and its impact on breast
cancer. Am Soc Clin Oncol Educ Book 2013:52–59
6. Calle EE, Rodriguez C, Walker-Thurmond K, Thun MJ (2003)
Overweight, obesity, and mortality from cancer in a prospective
studied cohort of U.S. adults. N Engl J Med 348:1625–1638
7. Sarfstein R, Friedman Y, Attias-Geva Z et al (2013) Metformin
downregulates the insulin/IGF-I signaling pathway and inhibits
different uterine serous carcinoma (USC) cells proliferation and
migration in p53-dependent or -independent manners. PLoS One
8:e61537
8. Huang Z, Hankinson SE, Colditz GA et al (1997) Dual effects of
weight and weight gain on breast cancer risk. JAMA 278:1407–1411
9. Trentham-Dietz A, Newcomb PA, Storer BE et al (1997) Body
size and risk of breast cancer. Am J Epidemiol 145:1011–1019
10. Anderson GL, Chlebowski RT, Aragaki AK et al (2012) Conju-
gated equine oestrogen and breast cancer incidence and mortality
in postmenopausal women with hysterectomy: extended follow-
up of the Women’s Health Initiative randomised placebo-con-
trolled trial. Lancet Oncol 13:476–486
11. Scuteri A, Sanna S, Chen WM et al (2007) Genome-wide asso-
ciation scan shows genetic variants in the FTO gene are associ-
ated with obesity-related traits. PLoS Genet 3:e115
12. Herrera BM, Lindgren CM (2010) The genetics of obesity. Curr
Diab Rep 10:498–505
13. Frayling TM, Timpson NJ, Weedon NM et al (2007) A common
variant in the FTO gene is associated with body mass index and
predisposes to childhood and adult obesity. Science 316:889–894
14. Speliotes EK, Willer CJ, Berndt SI et al (2010) Association
analyses of 249,796 individuals reveal 18 new loci associated
with body mass index. Nat Genet 42:937–948
Mol Biol Rep
123
![Page 6: Single nucleotide polymorphisms of the FTO gene and cancer risk: an overview](https://reader037.fdocuments.in/reader037/viewer/2022100110/5750aa941a28abcf0cd8fa49/html5/thumbnails/6.jpg)
15. Stratigopoulos G, Padilla SL, LeDuc CA et al (2008) Regulation
of Fto/Ftm gene expression in mice and humans. Am J Physiol
Regul Integr Comp Physiol 294:R1185–R1196
16. Boissel S, Reish O, Proulx K et al (2009) Loss-of-function
mutation in the dioxygenaseencoding FTO gene causes severe
growth retardation and multiple malformations. Am J Hum Genet
85:106–111
17. Meyre D, Proulx K, Kawagoe-Takaki H et al (2010) Prevalence
of loss of function FTO mutations in lean and obese individuals.
Diabetes 59:311–318
18. Chorley BN, Wang X, Campbell MR et al (2008) Discovery and
verification of functional single nucleotide polymorphisms in
regulatory genomic regions: current and developing technologies.
Mutat Res 659:147–157
19. Jowett JB, Curran JE, Johnson MP, Carless MA, Goring HH,
Dyer TD et al (2010) Genetic variation at the FTO locus influ-
ences RBL2 gene expression. Diabetes 59(3):726–732
20. Berulava T, Horsthemke B (2010) Comment on: Jowett et al.
(2010) Genetic variation at the FTO locus influences RBL2 gene
expression. Diabetes; 59:726–732. Diabetes 59:e9
21. Berulava T, Horsthemke B (2010) The obesity-associated SNPs
in intron 1 of the FTO gene affect primary transcript levels. Eur J
Hum Genet 18:1054–1056
22. Smemo S, Tena JJ, Kim KH, Gamazon ER, Sakabe NJ, Gomez-
Marın C et al (2014) Obesity-associated variants within FTO
form long-range functional connections with IRX3. Nature
507:371–375
23. Brennan P, McKay J, Moore L et al (2009) Obesity and cancer:
Mendelian randomization approach utilizing the FTO genotype.
Int J Epidemiol 38:971–975
24. Lewis SJ, Murad A, Chen L et al (2010) Associations between an
obesity related genetic variant (FTO rs9939609) and prostate
cancer risk. PLoS One 5:e13485
25. Nock NL, Plummer SJ, Thompson CL et al (2011) FTO poly-
morphisms are associated with adult body mass index (BMI) and
colorectal adenomas in African-Americans. Carcinogenesis
32:748–756
26. Hubacek JA, Dlouha D (2012) The risk of sporadic colorectal
cancer development is not influenced by fat mass and obesity
related gene polymorphism in Slavs. Eur J Intern Med 23:e175–
e176
27. Tarabra E, Actis GC, Fadda M et al (2012) The obesity gene and
colorectal cancer risk: a population study in Northern Italy. Eur J
Intern Med 23:65–69
28. Lim U, Wilkens LR, Monroe KR et al (2012) Susceptibility
variants for obesity and colorectal cancer risk: the multiethnic
cohort and PAGE studies. Int J Cancer 131:E1038–E1043
29. Tang H, Dong X, Hassan M et al (2011) Body mass index and
obesity- and diabetes-associated genotypes and risk for pancreatic
cancer. Cancer Epidemiol Biomarkers Prev 20:779–792
30. Pierce BL, Austin MA, Ahsan H (2011) Association study of type
2 diabetes genetic susceptibility variants and risk of pancreatic
cancer: an analysis of PanScan-I data. Cancer Causes Control
22:877–883
31. Li G, Chen Q, Wang L, Ke D, Yuan Z (2012) Association
between FTO gene polymorphism and cancer risk: evidence from
16,277 cases and 31,153 controls. Tumour Biol 33:1237–1243
32. Lin Y, Ueda J, Yagyu K, Ishii H, Ueno M, Egawa N et al (2013)
Association between variations in the fat mass and obesity-
associated gene and pancreatic cancer risk: a case-control study
in Japan. BMC Cancer 8(13):337
33. Kitahara CM, Neta G, Pfeiffer RM et al (2012) Common obesity-
related genetic variants and papillary thyroid cancer risk. Cancer
Epidemiol Biomarkers Prev 21:2268–2271
34. Delahanty RJ, Beeghly-Fadiel A, Xiang YB et al (2011) Asso-
ciation of obesity-related genetic variants with endometrial can-
cer risk: a report from the Shanghai endometrial cancer genetics
study. Am J Epidemiol 174:1115–1126
35. Lurie G, Gaudet MM, Spurdle AB et al (2011) The obesity-
associated polymorphisms FTO rs9939609 and MC4R
rs17782313 and endometrial cancer risk in non-Hispanic white
women. PLoS One 6:e16756
36. Gaudet MM, Yang HP, Bosquet JG et al (2010) No association
between FTO or HHEX and endometrial cancer risk. Cancer
Epidemiol Biomarkers Prev 19:2106–2109
37. Brinton L, Swanson C (1992) Height and weight at various ages
and risk of breast cancer. Ann Epidemiol 2:597–609
38. Long J, Zhang B, Signorello LB et al (2013) Evaluating genome-
wide association study-identified breast cancer risk variants in
African-American women. PLoS One 8:e58350
39. Kaklamani V, Yi N, Sadim M et al (2011) The role of the fat
mass and obesity associated gene (FTO) in breast cancer risk.
BMC Med Genet 12:52
40. Kusinska R, Gorniak P, Pastorczak A et al (2012) Influence of
genomic variation in FTO at 16q12.2, MC4R at 18q22 and
NRXN3 at 14q31 genes on breast cancer risk. Mol Biol Rep
39:2915–2919
41. Brooks JD, Bernstein L, Teraoka SN, Knight JA, Mellemkjær L,
John EM et al (2012) Variation in genes related to obesity,
weight, and weight change and risk of contralateral breast cancer
in the WECARE Study population. Cancer Epidemiol Biomark-
ers Prev 21:2261–2267
42. Garcia-Closas M, Couch FJ, Lindstrom S et al (2013) Genome-
wide association studies identify four ER negative-specific breast
cancer risk loci. Nat Genet 45:392–8, 398e1-2
43. da Cunha PA, de Carlos Back LK, Sereia AF et al (2013)
Interaction between obesity-related genes, FTO and MC4R,
associated to an increase of breast cancer risk. Mol Biol Rep
40:6657–6664
44. Iles MM, Law MH, Stacey SN et al (2013) A variant in FTO
shows association with melanoma risk not due to BMI. Nat Genet
45:428–432
Mol Biol Rep
123