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ChromosOmics
- Database
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CHROMOSOME 7q3 -
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![](data:image/png;base64,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)
|
7q31
107,400,001-127,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31/1-1
|
7p15.3/3-1
7q33/2-1
8q21.2/1-1
8q22.3/3-1
9q21.1/2-1
|
der(7)t(7;9)(9qter->
9q21.1::7q31->7q33:
:7p15.3->7q31::7q33->7qter),
der(9)t(7;9)(p15.3;q21.1),
inv(8)(q21.2q22.3) |
~107.9-126.6 Mb
|
MCB
|
{0}
|
|
7q31.1
107,400,001-114,600,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.1/1-1
|
4p15.2/3-1
|
t(4;7)(p15.2;q31.1)
|
~107..9-108.1 Mb
|
MCB, LSP
|
{0}
|
7q31.1/2-1
|
7q11.2/3-1 |
inv(7)(q11.2q31.1)
|
~107.9-114.1 Mb
|
MCB, LSP
|
{0,
11 case I-46}
|
7q31.1/3-1
|
7q21.2/3-1 |
del(7)(q21.2q31.1) |
~109-114.1 Mb
|
wcp, LSP
|
{0}
|
7q31.1/4-1
|
7q22.1/6-1 |
del(7)(q22.1q31.1) |
~109-114.1 Mb
|
wcp, LSP
|
{0}
|
|
7q31.2
114,600,001-117,400,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.2/1-1
|
1p32.1/1-1
|
t(1;7)(p32.1;q31.2)
|
~115.1-116.9 Mb
|
wcp
|
{0}
|
7q31.2/2-1
|
7q22.1/4-1 |
dup(7)(q22.1q31.2)
|
~115.1-116.9 Mb
|
MCB, LSP
|
{0}
|
7q31.2/3-1
|
7q32.2/1-1 |
del(7)(q31.2q32.2)
|
~115.1-116.9 Mb
|
MCB, LSP
|
{0}
|
7q31.2/4-1
|
7q32/6-1 |
inv(7)(q31.2q32)
|
~115.1-116.9 Mb
|
MCB
|
{0}
|
7q31.2/5-1
|
7q22/9-1 |
del(7)(q22q31.2)
|
~115.1-116.9 Mb
|
wcp, LSP
|
{0}
|
7q31.2/6-1
|
7q36/2-1 |
inv(7)(q31.2q36)
|
~115.1-116.9 Mb
|
MCB
|
{0}
|
|
7q31.3
117,400,001-127,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.3/1-1
|
|
|
|
|
{0}
|
|
7q31.31
117,400,001-121,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.31/1-1
|
7q31.33/1-1 |
dup(7)(q31.31q31.33)
|
118.880796 Mb
|
aCGH, LSP
|
{0}
|
|
7q31.32
121,100,001-123,800,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.32/1-1
|
7p15.1/4-1
|
inv(7)(p15.1q31.32~31.33)
|
~122-125 Mb
|
MCB
|
{0}
|
7q31.32/2-1
|
7q32.3/3-1 |
inv(7)(q31.32q32.3~33)
|
~121.5-123.8 Mb
|
wcp, LSP
|
{0}
|
|
7q31.33
123,800,001-127,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q31.33/1-1
|
7q31.31/1-1
|
dup(7)(q31.31q31.33)
|
126.476782 Mb
|
aCGH, LSP |
{0}
|
|
7q32
127,100,001-132,600,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q32/1-1
|
2p22/2-1
2p21/2-1
5p15.1/1-1
5p14.3/1-1
7p22.3/1-1
|
del(2)(p21p22),
der(5)t(5;7)(p14.3;q32),
der(7)t(7;2;5)
(7pter->7p22.3:
:7q32->7p22.3::5p14.3->
5p15.1::2p22->2p21::
5p15.1->5pter) |
~127.6-132.1 Mb
|
MCB
|
{0}
|
7q32/2-1
|
2q11.2/1-1
|
t(2;7)(q11.2;q32)
|
~127.6-132.1 Mb
|
MCB
|
{0}
|
7q32/3-1
|
4q26/6-1
|
t(4;7)(q26;q32) |
~127.6-132.1 Mb
|
MCB, LSP
|
{0}
|
7q32/4-1
|
11p15.2/1-1 |
t(7;11)(q32;p15.2) |
~127.6-130 Mb
|
wcp, LSP
|
{0}
|
7q32/5-1
|
7q34/2-1 |
del(7)(q32q34) |
~127.6-132.1 Mb
|
MCB
|
{0}
|
7q32/6-1
|
7q31.2/4-1
|
inv(7)(q31.2q32) |
~127.6-132.1 Mb
|
MCB
|
{0}
|
7q32/7-1
|
3q29/12-1
|
t(3;7)(q29;q32) |
~127.6-132.1 Mb
|
wcp, LSP
|
{0}
|
|
7q32.1
127,100,001-129,200,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q32.1/1-1
|
7q34/10-1 |
inv(7)(q32.1q34)
|
~127.5-129 Mb
|
MCB
|
{0}
|
|
7q32.2
129,200,001-130,400,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q32.2/1-1
|
7q31.2/3-1
|
del(7)(q31.2q32.2)
|
129.7-129.9 Mb
|
MCB, LSP
|
{0}
|
|
7q32.3
130,400,001-132,600,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q32.3/1-1
|
7q33/6-1 |
inv(7)(q32.3q33)
|
129.296328 Mb
|
wcp, LSP, aCGH
|
{0}
|
7q32.3/2-1
|
Xp11.23/6-1 |
t(X;7)(p11.23;q32.3)
|
~132-135 Mb
|
wcp, LSP
|
{0}
|
7q32.3/3-1
|
7q31.32/2-1 |
inv(7)(q31.32q32.3~33)
|
~132-134 Mb
|
wcp, LSP
|
{0}
|
|
7q33
132,600,001-138,200,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q33/1-1
|
2q22.2/1-1
|
t(2;7)(q22.2;q33.3)
|
~133.1-137.7 Mb
|
MCB
|
{0}
|
7q33/2-1
|
7p15.3/3-1
7q31/1-1
8q21.2/1-1
8q22.3/3-1
9q21.1/2-1
|
der(7)t(7;9)(9qter->
9q21.1::7q31->7q33:
:7p15.3->7q31::7q33->7qter),
der(9)t(7;9)(p15.3;q21.1),
inv(8)(q21.2q22.3) |
~133.1-137.7 Mb
|
MCB
|
{0}
|
7q33/3-1
|
18q21/1-1 |
der(7)t(7;18)(q33;q21)
|
~133.1-137.7 Mb
|
MCB, LSP
|
{0}
|
7q33/4-1
|
7q35/4-1 |
del(7)(q33~34q35)
|
~133.1-140 Mb
|
wcp, LSP
|
{0}
|
7q33/5-1
|
7q34/4-1 |
inv(7)(q33q34)
|
~135 Mb
|
wcp, LSP
|
{0}
|
7q33/6-1
|
7q32.3/1-1 |
inv(7)(q32.3q33) |
135.770066 Mb
|
wcp, LSP, aCGH
|
{0}
|
|
7q34
138,200,001-143,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q34/1-1
|
12q11/1-1 |
t(7;12)(q34;q11)
|
~138.7-142.6 Mb
|
MCB, LSP
|
{0}
|
7q34/2-1
|
7q32/5-1
|
del(7)(q32q34)
|
~138.7-142.6 Mb
|
MCB
|
{0}
|
7q34/3-1
|
7p22/4-1 |
inv(7)(p22q34) |
~138.7-142.6 Mb
|
MCB
|
{0}
|
7q34/4-1
|
7q33/5-1 |
inv(7)(q33q34) |
~142 Mb
|
wcp, LSP
|
{0}
|
7q34/5-1
|
7q22.1/5-1 |
inv(7)(q22.1q34) |
~138.7-142.6 Mb
|
MCB
|
{0}
|
7q34/6-1
|
7p15.3/5-1 |
inv(7)(p15.3q34) |
~138.7-142.6 Mb
|
MCB
|
{0,
11 case I-47}
|
7q34/7-1
|
7q36.3/5-1 |
der(7)(7pter->7q36.3:
:7q36.3->q34:)
|
~138.7-142.6 Mb
|
MCB, LSP
|
{0}
|
7q34/8-1
|
7p22.1/3-1
7q36.2/3-1
|
der(7)(pter->p22.1:
:q36.2->q34::p22.1->q34:
:q36.2->qter) |
~138.7-142.6 Mb
|
MCB, LSP
|
{0}
|
7q34/9-1
|
21q22.13/1-1 |
der(7)t(7;21)(q34;q22.13)
|
~138.7-142.6 Mb
|
MCB
|
{0,
37}
|
7q34/10-1
|
7q32.1/1-1 |
inv(7)(q32.1q34) |
~139-142 Mb Mb
|
MCB
|
{0}
|
7q34/11-1
|
18q22.3/7-1 |
t(7;18)(q34;q21.3)
|
~139.7-142.8 Mb
|
wcp, LSP
|
{0}
|
|
7q35
143,100,001-147,900,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q35/1-1
|
8q22.3/4-1 |
t(7;8)(q35;q22.3)
|
~143.6-147.4 Mb
|
wcp
|
{0}
|
7q35/2-1
|
9q21.1/3-1
18q12.2/3-1
|
der(7)t(7;9)(q35~36.1;
p21.1~21.2),der(9)t(9;18)
(p21.1~21.2;q12.2~12.3),
der(18)t(7;18)
(q35~36.1;q12.2~12.3)
|
~144-150 Mb
|
MCB
|
{0}
|
7q35/3-1
|
10q25.3/2-1 |
t(7;10)(q35;q25.3)
|
~143.6-147.4 Mb
|
MCB
|
{0,
11 case T-75}
|
7q35/4-1
|
7q33/4-1 |
del(7)(q33~34q35)
|
~143.6-147.4 Mb
|
wcp, LSP |
{0}
|
7q35/5-1
|
7q36.2/2-1 |
del(7)(q35q36.2)
|
~143.6-147.4 Mb
|
wcp, LSP
|
{0}
|
7q35/6-1
|
7q22.1/7-1
7q35/7-1
7q35/8-1
7q36.2/4-1
|
der(7)(pter->q22.1::q35->q35:
:q35->q22.1::q35->q35::q36.2->qter) |
146.195390 Mb
|
aCGH, wcp, LSP
|
{0}
|
7q35/7-1
|
7q22.1/7-1
7q35/6-1
7q35/8-1
7q36.2/4-1
|
der(7)(pter->q22.1::q35->q35:
:q35->q22.1::q35->q35::q36.2->qter) |
146.279327 Mb
|
aCGH, wcp, LSP
|
{0}
|
7q35/8-1
|
7q22.1/7-1
7q35/6-1
7q35/7-1
7q36.2/4-1
|
der(7)(pter->q22.1::q35->q35:
:q35->q22.1::q35->q35::q36.2->qter) |
146.599340 Mb
|
aCGH, wcp, LSP
|
{0}
|
7q35/9-1
|
7p22.1/6-1 |
inv(7)(p22.1q35)
|
~145 Mb
|
aCGH, LSP
|
{0}
|
|
7q36
147,900,001-159,138,663
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q36/1-1
|
13q32/2-1
|
der(7)t(7;13)(q36;q32)
|
~150.4-158 Mb
|
MCB, LSP
|
{0}
|
7q36/2-1
|
7q31.2/6-1
|
inv(7)(q31.2q36) |
~148.4-158.7 Mb
|
MCB
|
{0}
|
|
7q36.1
147,900,001-152,600,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q36.1/1-1
|
2p13/4-1
|
t(2;7)(p13;q36.1)
|
~148.4-152.1 Mb
|
wcp
|
{0}
|
7q36.1/2-1
|
7q36.3/4-1 |
del(7)(q36.1q36.3)
|
~148.4-152.1 Mb
|
MCB, LSP |
{0}
|
7q36.1/3-1
|
7q22/8-1 |
inv(7)(q22q36.1)
|
~148.4-152.1 Mb
|
MCB
|
{0}
|
|
7q36.2
152,600,001-155,100,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q36.2/1-1
|
21p13/3-1 |
der(7)t(7;21)(q36.2;p11.3)
|
~153.1-154.6 Mb
|
wcp, LSP
|
{0}
|
7q36.2/2-1
|
7q35/5-1 |
del(7)(q35q36.2)
|
~153.1-154.6 Mb
|
wcp, LSP
|
{0}
|
7q36.2/3-1
|
7p22.1/3-1
7q34/8-1 |
der(7)(pter->p22.1:
:q36.2->q34::p22.1->q34:
:q36.2->qter) |
~153.1-154.6 Mb
|
MCB, LSP
|
{0}
|
7q36.2/4-1
|
7q22.1/7-1
7q35/6-1
7q35/7-1
7q35/8-1
|
der(7)(pter->q22.1::q35->q35:
:q35->q22.1::q35->q35::q36.2->qter) |
153.503819 Mb
|
aCGH, wcp, LSP
|
{0}
|
|
7q36.3
155,100,001-159,138,663
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
7q36.3/1-1
|
2p25.2/1-1
|
t(2;7)(p25.2;q36.3)
|
~158.5 Mb
|
wcp, LSP
|
{0}
|
7q36.3/2-1
|
6p21.1/4-1
|
t(6;7)(p21.1~12.3;q36.3)
|
~158.5 Mb
|
wcp, LSP
|
{0, 11 case T-65}
|
7q36.3/3-1
|
22p11.1/1-1 |
dic(7;22)(q36.3;p11.1)
|
~158.5 Mb
|
wcp, LSP
|
{0}
|
7q36.3/4-1
|
7q36.1/2-1 |
del(7)(q36.1q36.3) |
~155.6-158 Mb
|
MCB, LSP
|
{0}
|
7q36.3/5-1
|
7q34/7-1 |
der(7)(7pter->7q36.3:
:7q36.3->q34:) |
~159 Mb |
MCB, LSP
|
{0}
|
7q36.3/6-1
|
21q22.13/2-1 |
t(7;21)(q36.3;q22.13)
|
~156.8 Mb
|
wcp, LSP, aCGH in
child
|
{0,
66}
|
|
|