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ChromosOmics
- Database
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CHROMOSOME 3q2 -
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![](data:image/png;base64,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)
|
3q21
121,900,001-129,200,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q21/1-1
|
2q35/3-1
|
t(2;3)(q35;q21)
|
~122.4-128.7 Mb
|
wcp |
{0}
|
3q21/2-1
|
Xq21/4-1 |
t(X;3)(q22;q21)
|
~122.4-128.7 Mb |
wcp, LSP |
{0}
|
3q21/3-1
|
21q22.3/2-1 |
t(3;21)(q21~23;22.3)
|
~122.4-128.7 Mb |
MCB |
{0}
|
3q21/4-1
|
3p13/4-1 |
inv(3)(p13q21)
|
~122.4-128.7 Mb |
MCB |
{0,
11 case I-22}
|
3q21/5-1
|
3q13.1/2-1
|
inv(3)(q13.1q21)
|
~122.4-128.7 Mb |
MCB |
{0,
11 case I-30}
|
3q21/6-1
|
3q25/4-1 |
inv(3)(q21q25)
|
~122.4-128.7 Mb |
MCB |
{0,
11 case I-27}
|
3q21/7-1
|
3p21.1/1-1 |
inv(3)(p21.1q21)
|
~122.4-128.7 Mb |
wcp, LSP |
{0,
11 case I-23}
|
3q21/8-1
|
3q13/3-1 |
inv(3)(q13q21)
|
~122.4-128.7 Mb |
MCB |
{0}
|
|
3q21.1
121,900,001-123,800,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q21.1/1-1
|
7q11.22/3-1
|
t(3;7)(q21.1~21.2;q11.22~11.23)
|
~122.4-123.3 Mb
|
MCB
|
{0}
|
|
3q21.2
123,800,001-125,800,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q21.2/1-1
|
3p13/6-1
|
inv(3)(p13q21.2)
|
~124.3-125.23Mb
|
MCB
|
{0}
|
|
3q21.3
125,800,001-129,200,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q21.3/1-1
|
2p14/1-1
|
t(2;3)(p13.3~14;q21.3)
|
~128 Mb
|
MCB
|
{0}
|
3q21.3/2-1
|
Xq22.1/1-1 |
t(X;3)(q22.1;q21.3)
|
125.78-129 Mb
|
MCB, LSP
|
{0,
11 case T-1, 72}
|
3q21.3/3-1
|
4q35.2/1-1 |
t(3;4)(q21.3;q35.2)
|
~126.3~128.7 Mb
|
MCB, LSP
|
{0}
|
3q21.3/4-1
|
13q12.3/1-1 |
t(3;13)(q21.3;q12.3)
|
~126.3~128.7 Mb |
wcp, LSP
|
{0}
|
3q21.3/5-1
|
19q13.33/1-1 |
t(3;19)(q21.3;q13.33)
|
~126.3~128.7 Mb |
wcp, LSP
|
{0}
|
3q21.3/6-1
|
3p11.2/2-1 |
inv(3)(p11.2q21.3) |
~126.3~128.7 Mb |
MCB
|
{0}
|
|
3q22
129,200,001-138,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q22/1-1
|
4p14/9-1
4q34/6-1
7p13/7-1
9q13/11-1
17p13/2-1
|
der(3)t(3;4)(q22;q34~35),
der(4)(17pter->17p13~12:
:4p14->4q34~35::7p13~12->
pter),der(7)t(3;7)
(q22;p13~12),der(9)t(4;9)
(p14;q13),der(17)t(9;17)
(q13;p13~12)
|
~192.7-138.2 Mb
|
MCB
|
{0,
23}
|
|
3q22.1
129,200,001-133,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q22.1/1-1
|
3q23/3-1
|
del(3)(q22.1q23)
|
129.276865 Mb
|
aCGH
|
{0}
|
|
3q22.2
133,700,001-135,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q22.2/1
|
|
|
|
|
{0}
|
|
3q22.3
135,700,001-138,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q22.3/1-1
|
3q13.3/2-1
|
inv(3)(q13.3q22.3~23)
|
~137-142 Mb
|
MCB
|
{0}
|
|
3q23
138,700,001-142,800,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q23/1-1
|
1q43/5-1
3q13.2/1-1
|
ins(1;3)(q43;q13.2q23)
|
~139.2-142.3 Mb
|
MCB
|
{0, 10 case 22,
11 case N-1} |
3q23/2-1
|
17q23.1/1-1
|
t(3;17)(q23;q23.1)
|
~139.2-142.3 Mb
|
MCB
|
{0,
11 case T-40}
|
3q23/3-1
|
3q22.1/1-1
|
del(3)(q22.1q23) |
141.994940 Mb
|
aCGH
|
{0}
|
|
3q24
142,800,001-148,900,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q24/1-1
|
3q29/3-1 |
der(3)(pter->q29:
:q24~25.1->qter) |
~145-155 Mb |
MCB |
{0}
|
3q24/2-1
|
8p22/4-1
|
t(3;8)(q24;p22)
|
~143.3-148.4 Mb
|
wcp |
{0}
|
3q24/3-1
|
10p11.22/1-1
|
t(3;10)(q24;p11.22)
|
~145 Mb |
MCB, LSP |
{0}
|
3q24/4-1
|
3q11.2/2-1
|
inv(3)(q11.2q24)
|
~143.3-148.4 Mb
|
MCB |
{0,
11 case I-25}
|
3q24/5-1
|
3p12/4-1
|
inv(3)(p12q24)
|
~143.3-148.4 Mb
|
MCB |
{0}
|
3q24/6-1
|
3p25.3/5-1
3q13.32/1-1
3p21.1/3-1
3q26.32/1-1
|
der(3)(pter->p25.3~25.2:
:p21.1->q13.32::p25.3~25.2->
p21.1::q26.32~27.1->q24:
:q13.32->q24:
:q26.32~27.1->qter) |
~143.3-148.4 Mb
|
MCB |
{0}
|
3q24/7-1
|
1q31.3/4-1
3p24/4-1
3p14/2-1
3q12/3-1
9p21.3/4-1
9q13/12-1
14q13/7-1
|
der(1)t(1;9)(q31.3;q13),
der(3)(9pter->9p21.3:
:3p14->3q12::14q13->
14qter),der(9)(3pter->
3p24::3q24->3q12::3p24->
3p14::9p21.3->9q13::
1q31.1->1qter),
der(14)t(3;14)(q13;q24) |
~143.3-148.4 Mb
|
MCB |
{0,
30}
|
3q24/8-1
|
3q25.32/1-1
|
del(3)(q24q25.32~q25.33)
|
~144 Mb |
wcp, LSP |
{0}
|
|
3q25
148,900,001-160,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25/1-1
|
8p23.1/4-1
|
t(3;8)(q25;p23.1)
|
~149.4-160.2 Mb
|
MCB
|
{0}
|
3q25/2-1
|
18q11.2/2-1
18q12.1/1-1
|
der(3)ins(3;18)(q25;q11.2q12.1)
|
~149.4-160.2 Mb |
wcp, LSP
|
{0}
|
3q25/3-1
|
3p12/3-1
3q27/4-1
6p21.3/2-1 |
der(3)(6pter->p21.3:
:3q25->3q27 or 3q27->3q25::3p12->3q25:
:3q27->3qter),
der(6)t(3;6)(p12;p21.3) |
~149.4-160.2 Mb |
MCB
|
{0}
|
3q25/4-1
|
3q21/6-1
|
inv(3)(q21q25)
|
~149.4-160.2 Mb |
MCB
|
{0,
11 case I-27}
|
3q25/5-1
|
3q29/10-1 |
der(3)(pter->q29::q25->qter)
|
~149.4-160.2 Mb |
MCB
|
{0}
|
3q25/6-1
|
4q12/7-1
8q11.23/2-1
11q24.2/7-1
|
t(3;4)(q25;q12),
t(8;11)(q11.23;q24.2)
|
~149-150 Mb |
wcp, LSP
|
{0}
|
|
3q25.1
148,900,001-152,100,000
|
|
3q25.2
152,100,001-155,000,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25.2/1-1
|
|
|
|
|
{0}
|
|
3q25.3
155,000,001-160,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25.3/1-1
|
2p23.3/1-1
|
t(2;3)(p23.3;q25.3)
|
~155.5-160.2 Mb
|
MCB
|
{0, 11 case T-17}
|
3q25.3/2-1
|
18q12.2/1-1
|
t(3;18)(q25.3;q12.2)
|
~155.5-160.2 Mb
|
MCB
|
{0}
|
3q25.3/3-1
|
8q22.3/1-1
8q24.1/1-1
|
der(3)ins(3;8)(q25.3;q22.3q24.1)
|
~155.5-160.2 Mb
|
MCB, midi
|
{0}
|
3q25.3/4-1
|
18q21.2/1-1 |
t(3;18)(q25.3;q21.2)
|
~155.5-160.2 Mb
|
wcp
|
{0}
|
|
3q25.31
155,000,001-157,000,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25.31/1-1
|
|
|
|
|
{0}
|
|
3q25.32
157,000,001-159,000,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25.32/1-1
|
3q24/8-1
|
del(3)(q24q25.32~q25.33)
|
~157-160 Mb
|
wcp, LSP |
{0}
|
|
3q25.33
159,000,001-160,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q25.33/1-1
|
|
|
|
|
{0}
|
|
3q26
160,700,001-182,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26/1-1
|
6q24/1-1 |
t(3;6)(q26;q24)
|
~161.2-182.2 Mb
|
MCB
|
{0}
|
3q26/2-1
|
3q27.2/1-1
8p22/3-1
|
ins(8;3)(p22;q27.2q26)
or ins(8;3)(p22;q26q27.2)
|
~161.2-182.2 Mb |
MCB
|
{0}
|
3q26/3-1
|
6q12/1-1
12q23/1-1
17q11/1-1
20p11.22/1-1
Xp22.11/1-1
|
t(3;17)(q26;q11),
t(6;12)(q12;q23),
t(X;20)(p22.11;p11.22~11.21)
|
~161.2-182.2 Mb |
wcp, LSP
|
{0}
|
3q26/4-1
|
3p21.3/7-1
|
inv(3)(p21.3q26) |
~161.2-182.2 Mb |
MCB
|
{0}
|
3q26/5-1
|
3q27.3/2-1
3q28/1-1
3q28/2-1
8p22/14-1
|
der(8)(8pter->8p22:
:3q26->3q27.3::3q28->
3q28::8p22->8qter)
|
~161.2-182.2 Mb
|
MCB
|
{0,
65}
|
|
3q26.1
160,700,001-167,600,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.1/1-1
|
3q27/5-1 |
del(3)(q26.1q27)
|
~161.2-167.1 Mb
|
MCB
|
{0}
|
3q26.1/2-1
|
n.a. |
del(3)(q26.1)
|
~161.2-167.1 Mb
|
wcp, LSP
|
{0}
|
3q26.1/3-1
|
1q42.11/2-1
3q28/3-1
5q31.1/10-1
|
der(1)(1pter->1q42.1?1:
:3q26.1->3q28::5q31.1->
5qter),der(3)t(1;3)(q42.1?1;q26.1),
der(5)t(3;5)(q28;q31.1) |
~161.2-167.1 Mb
|
MCB
|
{0}
|
|
3q26.2
167,600,001-170,900,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.2/1-1
|
14q24.3/1-1
|
t(3;14)(q26.2~26.3;q24.3)
|
~169-175 Mb
|
MCB, LSP
|
{0}
|
3q26.2/2-1
|
5p15.1/2-1
5q12.2/1-1
|
der(3)t(3;5)(q26.2;p15.1),
inv(5)(p15.1q12.2),
t(3;5)(q26.2;p15.1)
|
~168.1-170.4 Mb
|
MCB, LSP
|
{0}
|
3q26.2/3-1
|
3p25/9-1
|
der(3)(qter->q26.2::p25->qter)
|
~168.1-170.4 Mb |
MCB
|
{0}
|
3q26.2/4-1
|
3q27.2/2-1 |
del(3)(q26.2q27.2)
|
~168.1-170.4 Mb |
MCB
|
{0}
|
|
3q26.3
170,900,001-182,700,000 |
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.3/1-1
|
3q13/2-1
|
inv(3)(q13q26.3)
|
~171.4-182.2 Mb
|
MCB
|
{0}
|
3q26.3/2-1
|
3p21.3/8-1 |
inv(3)(p21.3q26.3)
|
~171.4-182.2 Mb
|
MCB
|
{0,
11 case I-24}
|
3q26.3/3-1
|
3q29/11-1 |
del(3)(q26.3~27.2q29)
|
~182-185 Mb
|
MCB, LSP
|
{0}
|
|
3q26.31
170,900,001-175,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.31/1-1
|
3q26.33/1-1
8q12.3/1-1
8q13/10-1
8q22.2/3-1
8q22.3/7-1
18q22.3/6-1
|
del(3)(q26.31q26.33),
der(8)(8pter->8q13:
:8q22.3->8q22.2::3q26.31->
3q26.33::8q22.2->8q13:
:18q12.3->18qter),t(8;18)(q22.3;q12.3)
|
~172.4-175.2 Mb
|
MCB, LSP
|
{0}
|
|
3q26.32
175,700,001-179,000,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.32/1-1
|
3p25.3/5-1
3q13.32/1-1
3p21.1/3-1
|
der(3)(pter->p25.3~25.2:
:p21.1->q13.32::p25.3~25.2->
p21.1::q26.32~27.1->q24:
:q13.32->q24:
:q26.32~27.1->qter) |
~177-184 Mb
|
MCB
|
{0}
|
|
3q26.33
179,000,001-182,700,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q26.33/1-1
|
3q26.31/1-1
8q12.3/1-1
8q13/10-1
8q22.2/3-1
8q22.3/7-1
18q22.3/6-1
|
del(3)(q26.31q26.33),
der(8)(8pter->8q13:
:8q22.3->8q22.2::3q26.31->
3q26.33::8q22.2->8q13:
:18q12.3->18qter),t(8;18)(q22.3;q12.3) |
~180-182.2 Mb
|
MCB, LSP |
{0}
|
|
3q27
182,700,001-187,900,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q27/1-1
|
6q23/2-1 |
t(3;6)(q27;q23)
|
~183.2-187.4 Mb
|
MCB
|
{0}
|
3q27/2-1
|
13q12/1-1 |
t(3;13)(q27;q12)
|
~183.2-187.4 Mb |
MCB
|
{0}
|
3q27/3-1
|
21q22.3/1-1 |
t(3;21)(q27;q22.3)
|
~183.2-187.4 Mb |
wcp, LSP
|
{0,
11 case T-42}
|
3q27/4-1
|
3p12/3-1
3q25/3-1
6p21.3/2-1 |
der(3)(6pter->p21.3:
:3q25->3q27 or 3q27->3q25::3p12->3q25:
:3q27->3qter),
der(6)t(3;6)(p12;p21.3) |
~183.2-187.4 Mb |
MCB, LSP |
{0}
|
3q27/5-1
|
3q26.1/1-1 |
del(3)(q26.1q27)
|
~183.2-187.4 Mb |
MCB |
{0}
|
|
3q27.1
182,700,001-184,500,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q27.1/1-1
|
5p13.1/3-1
10q11.23/2-1
|
t(3;10;5)(q27.1;q11.2?3;p13.3)
|
~183.2-184 Mb
|
MCB, LSP
|
{0}
|
3q27.1/2-1
|
13q33.3/1-1
|
t(3;13)(q27.1;q33.3)
|
~183.2-184 Mb |
MCB, LSP
|
{0}
|
|
3q27.2
184,500,001-186,000,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q27.2/1-1
|
3q26/2-1
8p22/3-1
|
ins(8;3)(p22;q27.2q26)
or ins(8;3)(p22;q26q27.2) |
~185-185.5 Mb
|
MCB
|
{0}
|
3q27.2/2-1
|
3q26.2/4-1
|
del(3)(q26.2q27.2) |
~185-185.5 Mb
|
MCB
|
{0}
|
|
3q27.3
186,000,001-187,900,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q27.3/1-1
|
11q23.3/1-1
|
t(3;11)(q27.3;q23.3)
|
~186.5-187.4 Mb
|
wcp, LSP
|
{0}
|
3q27.3/2-1
|
3q26/5-1
3q28/1-1
3q28/2-1
8p22/14-1
|
der(8)(8pter->8p22:
:3q26->3q27.3::3q28->
3q28::8p22->8qter) |
~186.5-187.4 Mb
|
MCB
|
{0,
65}
|
|
3q28
187,900,001-192,300,000
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q28/1-1
|
3q26/5-1
3q27.3/2-1
3q28/2-1
8p22/14-1
|
der(8)(8pter->8p22:
:3q26->3q27.3::3q28->
3q28::8p22->8qter) |
~188 Mb |
MCB
|
{0,
65}
|
3q28/2-1
|
3q26/5-1
3q27.3/2-1
3q28/1-1
8p22/14-1
|
der(8)(8pter->8p22:
:3q26->3q27.3::3q28->
3q28::8p22->8qter) |
~192 Mb
|
MCB
|
{0,
65}
|
3q28/3-1
|
1q42.11/2-1
3q26.1/3-1
5q31.1/10-1
|
der(1)(1pter->1q42.1?1:
:3q26.1->3q28::5q31.1->
5qter),der(3)t(1;3)(q42.1?1;q26.1),
der(5)t(3;5)(q28;q31.1) |
~188.4-191.8 Mb
|
MCB
|
{0}
|
|
3q29
192,300,001-198,022,430
|
case no.
|
alternative case
number
|
rearrangement |
mol. breakpoint
(hg19)
|
test methods |
Reference
|
3q29/1-1
|
2q32.2/1-1
|
t(2;3)(q32.2;q29)
|
~198 Mb
|
wcp, LSP
|
{0}
|
3q29/2-1
|
2q13/10-1
2q14.3/7-1
2q21.1/4-1
2q22/7-1
2q24.1/2-1
2q33/5-1
20p11.2/1-1
|
der(2)(2pter->2q13:
:2q31->2q24.1::2q14.3->2q13:
:2q31->2q33::3q29->3qter),
der(3)(3pter->3q29:
:2q14.3->2q21.1::2q33->2qter),
der(20)(20pter->20p11.21:
:2q24.1->2q22:
:20p11.21->20qter) |
~198 Mb
|
MCB
|
{0}
|
3q29/3-1
|
3q24/1-1
|
der(3)(pter->q29:
:q24~25.1->qter) |
~192.8-198 Mb
|
MCB
|
{0}
|
3q29/4-1
|
10q22.1/1-1 |
t(3;10)(q29;q22.1)
|
~192.8-198 Mb
|
wcp
|
{0}
|
3q29/5-1
|
10q25.3/1-1 |
t(3;10)(q29;q25.3)
|
~198 Mb
|
MCB, LSP
|
{0,
11 case T-37}
|
3q29/6-1
|
12q24.1/1-1 |
t(3;12)(q29;q24.1)
|
~192.8-198 Mb
|
wcp
|
{0}
|
3q29/7-1
|
3q13.3/1-1
14q12/2-1
|
der(3)t(3;14)(q13.3;q12),
der(14)(14pter->14q12:
:3q13.3->3q29:
:acrop12->acropter) |
~192.8-198 Mb
|
MCB, wcp, LSP
|
{0}
|
3q29/8-1
|
20p12/1-1 |
t(3;20)(q29;p12)
|
~198 Mb |
wcp, LSP
|
{0}
|
3q29/9-1
|
3q12.2/2-1 |
inv(3)(q13.2q29) |
~192.8-198 Mb |
MCB
|
{0,
11 case I-28}
|
3q29/10-1
|
3q25/5-1 |
der(3)(pter->q29::q25->qter) |
~192.8-198 Mb |
MCB
|
{0}
|
3q29/11-1
|
3q26.3/3-1 |
del(3)(q26.3~27.2q29) |
~192 Mb |
MCB, LSP
|
{0}
|
3q29/12-1
|
7q32/7-1 |
t(3;7)(q29;q32)
|
~198 Mb |
wcp, LSP
|
{0}
|
|
|