Global Variome shared LOVD
CUL7 (cullin 7)
LOVD v.3.0 Build 30b [
Current LOVD status
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View all transcripts of gene CUL7
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View all variants in gene CUL7
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View all individuals with variants in gene CUL7
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View all diseases associated with gene CUL7
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View all screenings for gene CUL7
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All individuals with variants in gene CUL7
Legend
Please note that a short description of a certain column can be displayed when you move your mouse cursor over the column's header and hold it still. Below, a more detailed description is shown per column.
ID_report
: ID of the individual that can be publically shared, e.g. as listed in a publication
Reference
: reference to publication describing the individual/family, possibly giving more phenotypic details than listed in this database entry, incl. link to PubMed or other source, e.g. "den Dunnen ASHG2003 P2346"
Remarks
: remarks about the individual
Gender
: gender individual
All options:
? = unknown
- = not applicable
F = female
M = male
rF = raised as female
rM = raised as male
Consanguinity
: indicates whether the parents are related (consanguineous), not related (non-consanguineous) or whether consanguinity is not known (unknown)
All options:
no = non-consanguineous parents
yes = consanguineous parents
likely = consanguinity likely
? = unknown
- = not applicable
Country
: where (country) does the individual live/recently came from. Give additional details (population, specific sub-group) and when parents come from different countries in "Population". Belgium = individual lives in/recently came from Belgium, (France) = reported by laboratory in France, individual's country of origin not sure
All options:
? (unknown)
- (not applicable)
Afghanistan
(Afghanistan)
Albania
(Albania)
Algeria
(Algeria)
American Samoa
(American Samoa)
Andorra
(Andorra)
Angola
(Angola)
Anguilla
(Anguilla)
Antarctica
(Antarctica)
Antigua and Barbuda
(Antigua and Barbuda)
Argentina
(Argentina)
Armenia
(Armenia)
Aruba
(Aruba)
Australia
(Australia)
Austria
(Austria)
Azerbaijan
(Azerbaijan)
Bahamas
(Bahamas)
Bahrain
(Bahrain)
Bangladesh
(Bangladesh)
Barbados
(Barbados)
Belarus
(Belarus)
Belgium
(Belgium)
Belize
(Belize)
Benin
(Benin)
Bermuda
(Bermuda)
Bhutan
(Bhutan)
Bolivia
(Bolivia)
Bosnia and Herzegovina
(Bosnia and Herzegovina)
Botswana
(Botswana)
Bouvet Island
(Bouvet Island)
Brazil
(Brazil)
British Indian Ocean Territory
(British Indian Ocean Territory)
Brunei Darussalam
(Brunei Darussalam)
Bulgaria
(Bulgaria)
Burkina Faso
(Burkina Faso)
Burundi
(Burundi)
Cambodia
(Cambodia)
Cameroon
(Cameroon)
Canada
(Canada)
Cape Verde
(Cape Verde)
Cayman Islands
(Cayman Islands)
Central African Republic
(Central African Republic)
Central Europe
Chad
(Chad)
Chile
(Chile)
China
(China)
Christmas Island
(Christmas Island)
Cocos (Keeling Islands)
(Cocos (Keeling Islands))
Colombia
(Colombia)
Comoros
(Comoros)
Congo
(Congo)
Cook Islands
(Cook Islands)
Costa Rica
(Costa Rica)
Cote D'Ivoire (Ivory Coast)
(Cote D'Ivoire (Ivory Coast))
Croatia (Hrvatska)
(Croatia (Hrvatska))
Cuba
(Cuba)
Cyprus
(Cyprus)
Czech Republic
(Czech Republic)
Denmark
(Denmark)
Djibouti
(Djibouti)
Dominica
(Dominica)
Dominican Republic
(Dominican Republic)
East Timor
(East Timor)
Ecuador
(Ecuador)
Egypt
(Egypt)
El Salvador
(El Salvador)
England
(England)
Equatorial Guinea
(Equatorial Guinea)
Eritrea
(Eritrea)
Estonia
(Estonia)
Ethiopia
(Ethiopia)
Falkland Islands (Malvinas)
(Falkland Islands (Malvinas))
Faroe Islands
(Faroe Islands)
Fiji
(Fiji)
Finland
(Finland)
France
(France)
Gabon
(Gabon)
Gambia
(Gambia)
Georgia
(Georgia)
Germany
(Germany)
Ghana
(Ghana)
Gibraltar
(Gibraltar)
Greece
(Greece)
Greenland
(Greenland)
Grenada
(Grenada)
Guadeloupe
(Guadeloupe)
Guam
(Guam)
Guatemala
(Guatemala)
Guiana, French
(Guiana, French)
Guinea
(Guinea)
Guinea-Bissau
(Guinea-Bissau)
Guyana
(Guyana)
Haiti
(Haiti)
Heard and McDonald Islands
(Heard and McDonald Islands)
Honduras
(Honduras)
Hong Kong
(Hong Kong)
Hungary
(Hungary)
Iceland
(Iceland)
India
(India)
Indonesia
(Indonesia)
Iran
(Iran)
Iraq
(Iraq)
Ireland
(Ireland)
Israel
(Israel)
Italy
(Italy)
Jamaica
(Jamaica)
Japan
(Japan)
Jordan
(Jordan)
Kazakhstan
(Kazakhstan)
Kenya
(Kenya)
Kiribati
(Kiribati)
Korea
(Korea)
Korea, North (People's Republic)
(Korea, North (People's Republic))
Korea, South (Republic)
(Korea, South (Republic))
Kosovo
(Kosovo)
Kuwait
(Kuwait)
Kyrgyzstan (Kyrgyz Republic)
(Kyrgyzstan (Kyrgyz Republic))
Laos
(Laos)
Latvia
(Latvia)
Lebanon
(Lebanon)
Lesotho
(Lesotho)
Liberia
(Liberia)
Libya
(Libya)
Liechtenstein
(Liechtenstein)
Lithuania
(Lithuania)
Luxembourg
(Luxembourg)
Macau
(Macau)
Macedonia
(Macedonia)
Madagascar
(Madagascar)
Malawi
(Malawi)
Malaysia
(Malaysia)
Maldives
(Maldives)
Mali
(Mali)
Mallorca
(Mallorca)
Malta
(Malta)
Marshall Islands
(Marshall Islands)
Martinique
(Martinique)
Mauritania
(Mauritania)
Mauritius
(Mauritius)
Mayotte
(Mayotte)
Mexico
(Mexico)
Micronesia
(Micronesia)
Moldova
(Moldova)
Monaco
(Monaco)
Mongolia
(Mongolia)
Montserrat
(Montserrat)
Morocco
(Morocco)
Mozambique
(Mozambique)
Myanmar
(Myanmar)
Namibia
(Namibia)
Nauru
(Nauru)
Nepal
(Nepal)
Netherlands
(Netherlands)
Netherlands Antilles
(Netherlands Antilles)
Neutral Zone (Saudia Arabia/Iraq)
(Neutral Zone (Saudia Arabia/Iraq))
New Caledonia
(New Caledonia)
New Zealand
(New Zealand)
Nicaragua
(Nicaragua)
Niger
(Niger)
Nigeria
(Nigeria)
Niue
(Niue)
Norfolk Island
(Norfolk Island)
Northern Ireland
(Northern Ireland)
Northern Mariana Islands
(Northern Mariana Islands)
Norway
(Norway)
Oman
(Oman)
Pakistan
(Pakistan)
Palau
(Palau)
Palestine
(Palestine)
Panama
(Panama)
Papua New Guinea
(Papua New Guinea)
Paraguay
(Paraguay)
Peru
(Peru)
Philippines
(Philippines)
Pitcairn
(Pitcairn)
Poland
(Poland)
Polynesia, French
(Polynesia, French)
Portugal
(Portugal)
Puerto Rico
(Puerto Rico)
Qatar
(Qatar)
Reunion
(Reunion)
Romania
(Romania)
Russia
(Russia)
Russian Federation
(Russian Federation)
Rwanda
(Rwanda)
S. Georgia and S. Sandwich Isls.
(S. Georgia and S. Sandwich Isls.)
Saint Kitts and Nevis
(Saint Kitts and Nevis)
Saint Lucia
(Saint Lucia)
Saint Vincent and The Grenadines
(Saint Vincent and The Grenadines)
Samoa
(Samoa)
San Marino
(San Marino)
Sao Tome and Principe
(Sao Tome and Principe)
Saudi Arabia
(Saudi Arabia)
Scotland
(Scotland)
Senegal
(Senegal)
Serbia
(Serbia)
Seychelles
(Seychelles)
Sierra Leone
(Sierra Leone)
Singapore
(Singapore)
Slovakia (Slovak Republic)
(Slovakia (Slovak Republic))
Slovenia
(Slovenia)
Solomon Islands
(Solomon Islands)
Somalia
(Somalia)
South Africa
(South Africa)
Southern Territories, French
(Southern Territories, French)
Soviet Union (former)
(Soviet Union (former))
Spain
(Spain)
Sri Lanka
(Sri Lanka)
St. Helena, Ascension and Tristan da
Cunha
(St. Helena, Ascension and Tristan da
Cunha)
St. Pierre and Miquelon
(St. Pierre and Miquelon)
Sudan
(Sudan)
Sudan, South
(Sudan, South)
Suriname
(Suriname)
Svalbard and Jan Mayen Islands
(Svalbard and Jan Mayen Islands)
Swaziland
(Swaziland)
Sweden
(Sweden)
Switzerland
(Switzerland)
Syria
(Syria)
Taiwan
(Taiwan)
Tajikistan
(Tajikistan)
Tanzania
(Tanzania)
Thailand
(Thailand)
Togo
(Togo)
Tokelau
(Tokelau)
Tonga
(Tonga)
Trinidad and Tobago
(Trinidad and Tobago)
Tunisia
(Tunisia)
Turkey
(Turkey)
Turkmenistan
(Turkmenistan)
Turks and Caicos Islands
(Turks and Caicos Islands)
Tuvalu
(Tuvalu)
Uganda
(Uganda)
Ukraine
(Ukraine)
United Arab Emirates
(United Arab Emirates)
United Kingdom (Great Britain)
(United Kingdom (Great Britain))
United States
(United States)
Uruguay
(Uruguay)
US Minor Outlying Islands
(US Minor Outlying Islands)
Uzbekistan
(Uzbekistan)
Vanuatu
(Vanuatu)
Vatican City State (Holy See)
(Vatican City State (Holy See))
Venezuela
(Venezuela)
Viet Nam
(Viet Nam)
Virgin Islands (British)
(Virgin Islands (British))
Virgin Islands (US)
(Virgin Islands (US))
Wales
(Wales)
Wallis and Futuna Islands
(Wallis and Futuna Islands)
Western Sahara
(Western Sahara)
Yemen
(Yemen)
Yugoslavia
(Yugoslavia)
Zaire
(Zaire)
Zambia
(Zambia)
Zimbabwe
(Zimbabwe)
Population
: population the individual (or ancestors) belongs to; e.g. white, gypsy, Jewish-Ashkenazi, Africa-N, Sardinia, etc.
Age at death
: age at which the individual deceased (when applicable):
35y = 35 years
>43y = still alive at 43y
04y08m = 4 years and 8 months
00y00m01d12h = 1 day and 12 hours
18y? = around 18 years
30y-40y = between 30 and 40 years
>54y = older than 54
? = unknown
VIP
: individual/phenotype VIP-status was requested for matchmaking - need collaboration(s) to crack the case - please contact the submitter/curator. NOTE: to get VIP status ask the curator.
Data_av
: are additional data available upon request: e.g. pedigree (yes/no/?)
Treatment
: treatment of patient
Variants in genes
: The individual has variants for this gene.
Panel size
: Number of individuals this entry represents; e.g. 1 for an individual, 5 for a family with 5 affected members.
How to query this table
All list views have search fields which can be used to search data. You can search for a complete word or you can search for a part of a search term. If you enclose two or more words in double quotes, LOVD will search for the combination of those words only exactly in the order you specify. Note that search terms are case-insensitive and that wildcards such as * are treated as normal text! For all options, like "and", "or", and "not" searches, or searching for prefixes or suffixes, see the table below.
Operator
Column type
Example
Matches
Text
Arg
all entries containing 'Arg'
space
Text
Arg Ser
all entries containing 'Arg' and 'Ser'
|
Text
Arg|Ser
all entries containing 'Arg' or 'Ser'
!
Text
!fs
all entries not containing 'fs'
^
Text
^p.(Arg
all entries beginning with 'p.(Arg'
$
Text
Ser)$
all entries ending with 'Ser)'
=""
Text
=""
all entries with this field empty
=""
Text
="p.0"
all entries exactly matching 'p.0'
!=""
Text
!=""
all entries with this field not empty
!=""
Text
!="p.0"
all entries not exactly matching 'p.0?'
combination
Text
*|Ter !fs
all entries containing '*' or 'Ter' but not containing 'fs'
Date
2020
all entries matching the year 2020
|
Date
2020-03|2020-04
all entries matching March or April, 2020
!
Date
!2020-03
all entries not matching March, 2020
<
Date
<2020
all entries before the year 2020
<=
Date
<=2020-06
all entries in or before June, 2020
>
Date
>2020-06
all entries after June, 2020
>=
Date
>=2020-06-15
all entries on or after June 15th, 2020
combination
Date
2019|2020 <2020-03
all entries in 2019 or 2020, and before March, 2020
Numeric
23
all entries exactly matching 23
|
Numeric
23|24
all entries exactly matching 23 or 24
!
Numeric
!23
all entries not exactly matching 23
<
Numeric
<23
all entries lower than 23
<=
Numeric
<=23
all entries lower than, or equal to, 23
>
Numeric
>23
all entries higher than 23
>=
Numeric
>=23
all entries higher than, or equal to, 23
combination
Numeric
>=20 <30 !23
all entries with values from 20 to 29, but not equal to 23
Some more advanced examples:
Example
Matches
Asian
all entries containing 'Asian', 'asian', including 'Caucasian', 'caucasian', etc.
Asian !Caucasian
all entries containing 'Asian' but not containing 'Caucasian'
Asian|African !Caucasian
all entries containing 'Asian' or 'African', but not containing 'Caucasian'
"South Asian"
all entries containing 'South Asian', but not containing 'South East Asian'
To sort on a certain column, click on the column header or on the arrows. If that column is already selected to sort on, the sort order will be swapped. The column currently sorted on has a darker blue background color than the other columns. The up and down arrows next to the column name indicate the current sorting direction. When sorting on any field other than the default, LOVD will sort secondarily on the default sort column.
48 entries on 1 page. Showing entries 1 - 48.
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Legend
How to query
Individual ID
ID_report
Reference
Remarks
Gender
Consanguinity
Country
Population
Age at death
VIP
Data_av
Treatment
Disease
Phenotype details
Variants
Panel size
Owner
00004047
-
PubMed: Shaheen 2014
,
Journal: Shaheen 2014
-
M
yes
Saudi Arabia
Arab
-
-
-
-
3M1
small and mal-aligned teeth, skin and joint laxity, and normal motor and cognitive development
1
1
Fowzan Alkuraya
00208599
Fam301
-
-
-
-
-
-
-
-
-
-
cancer, colon
-
1
3
Xiang Jiao
00208600
Fam110
-
-
-
-
-
-
-
-
-
-
cancer, colon
-
1
2
Xiang Jiao
00294111
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
3
Mohammed Faruq
00294112
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
20
Mohammed Faruq
00294113
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
1
Mohammed Faruq
00294114
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
2
Mohammed Faruq
00294115
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
8
Mohammed Faruq
00294116
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
2
Mohammed Faruq
00331391
08DG00138, 08DG00139
PubMed: Maddirevula 2018
family, 2 affected (F, M)
F;M
yes
-
Arab
-
-
-
-
skeletal dysplasia
Cutis laxa, Joint laxity, Global developmental delay, Failure to thrive, Proportionate short No
1
2
LOVD
00331392
10DG1592, 10DG0199, 10DG1592, 10DG1593
PubMed: Maddirevula 2018
family, 4 affected (3F, M)
F;M
yes
-
Arab
-
-
-
-
skeletal dysplasia
Joint laxity, Midface retrusion, Depressed nasal bridge, Thick vermilion border, Prominent Yes
1
4
LOVD
00331393
11DG1211, 11DG1210
PubMed: Maddirevula 2018
family, 2 affected (2M)
M
yes
-
Arab
-
-
-
-
skeletal dysplasia
Severe short stature, Feeding difficulties, Triangular face, Broad forehead, Wide nose, Mal Yes
1
2
LOVD
00331394
12DG1575
PubMed: Maddirevula 2018
isolated case
F
yes
-
Arab
-
-
-
-
skeletal dysplasia
Short stature, Abnormal heart morphology, Osteopenia, Midface retrusion, Depressed nasno
1
1
LOVD
00331395
17DG0787
PubMed: Maddirevula 2018
isolated case
F
no
-
Arab
-
-
-
-
skeletal dysplasia
Short stature, Abnormal facial shape, Failure to thrive
1
1
LOVD
00359454
-
-
-
-
-
(Brazil)
-
-
-
-
-
3MC
-
1
1
Cynthia Silveira
00359455
Pat2
PubMed: Silveira 2021
,
Journal: Silveira 2021
-
F
-
Brazil
-
-
-
-
-
3M
-
1
1
Cynthia Silveira
00359462
Fam1
PubMed: Huber 2005
see paper
-
yes
Tunisia
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359463
Fam2
PubMed: Huber 2005
see paper
-
yes
Tunisia
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359464
Fam3
PubMed: Huber 2005
see paper
-
yes
Tunisia
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359465
Fam4
PubMed: Huber 2005
see paper
-
yes
Tunisia
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359466
Fam5
PubMed: Huber 2005
see paper
-
yes
Morocco
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359467
Fam6
PubMed: Huber 2005
see paper
-
yes
Morocco
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359468
Fam7
PubMed: Huber 2005
see paper
-
yes
France
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359469
Fam8
PubMed: Huber 2005
see paper
-
no
France
-
-
-
-
-
3M
see paper; ...
2
1
Johan den Dunnen
00359470
Fam9
PubMed: Huber 2005
see paper
-
no
France
-
-
-
-
-
3M
see paper; ...
2
1
Johan den Dunnen
00359471
Fam10
PubMed: Huber 2005
see paper
-
yes
Algeria
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359472
Fam11
PubMed: Huber 2005
see paper
-
yes
Syria
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359473
Fam12
PubMed: Huber 2005
see paper
-
no
Tunisia
-
-
-
-
-
3M
see paper; ...
2
1
Johan den Dunnen
00359474
Fam13
PubMed: Huber 2005
see paper
-
yes
Portugal
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359475
Fam14
PubMed: Huber 2005
see paper
-
yes
Sri Lanka
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359476
Fam15
PubMed: Huber 2005
see paper
-
yes
Sri Lanka
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359477
Fam16
PubMed: Huber 2005
see paper
-
yes
Sri Lanka
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359478
Fam17
PubMed: Huber 2005
see paper
-
yes
Turkey
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359479
Fam18
PubMed: Huber 2005
see paper
-
yes
Egypt
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359480
Fam19
PubMed: Huber 2005
see paper
-
yes
Turkey
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359481
Fam20
PubMed: Huber 2005
see paper
-
yes
Germany
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359482
Fam21
PubMed: Huber 2005
see paper
-
no
Germany
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359483
Fam22
PubMed: Huber 2005
see paper
-
no
Austria
-
-
-
-
-
3M
see paper; ...
2
1
Johan den Dunnen
00359484
Fam23
PubMed: Huber 2005
see paper
-
no
Austria
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359485
Fam24
PubMed: Huber 2005
see paper
-
yes
Italy
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359486
Fam25
PubMed: Huber 2005
see paper
-
yes
Italy
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359487
Fam26
PubMed: Huber 2005
see paper
-
yes
Italy
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359488
Fam27
PubMed: Huber 2005
see paper
-
no
Suriname
-
-
-
-
-
3M
see paper; ...
2
1
Johan den Dunnen
00359489
Fam28
PubMed: Huber 2005
see paper
-
yes
India
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00359490
Fam29
PubMed: Huber 2005
see paper
-
yes
Brazil
-
-
-
-
-
3M
see paper; ...
1
1
Johan den Dunnen
00375203
-
-
2-generation family, the proband has two disease phenotypes.
M
no
China
Chinese
-
-
-
-
3M, MPS2
, Fleshy prominent heels, large head circumference, coarse face., Short stature
2
1
Xiuli Zhao
00435457
patient
-
-
F
no
Poland
white
03y
-
-
-
3M1
short stature (HP:0004322)
1
2
Katarzyna Bilińska
00465822
Fam16
PubMed: Alazami 2016
family, 2 affected
-
-
Saudi Arabia
-
-
-
-
-
?
see paper; ..., Significant skin and joint laxity, developmental delay, failure to thrive, severe proportionate short stature with relative macrocephaly, dysmorphic features (prominent forehead, hypoplastic midface, depressed nasal root, anteverted nares and full lips), hyperlordosis, thin slender long tubular bones, small pelvises with winged iliac bones, prominent heels
1
2
Johan den Dunnen
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