Global Variome shared LOVD
FLNC (filamin C, gamma)
LOVD v.3.0 Build 29 [
Current LOVD status
]
Register as submitter
|
Log in
Curator:
Job Verdonschot
View all genes
View FLNC gene homepage
View graphs about the FLNC gene database
Create a new gene entry
View all transcripts
View all transcripts of gene FLNC
Create a new transcript information entry
View all variants
View all variants affecting transcripts
View unique variants in gene FLNC
View all variants in gene FLNC
Full data view for gene FLNC
Create a new data submission
View active genomic custom columns
Enable more genomic custom columns
View all individuals
View all individuals with variants in gene FLNC
Create a new data submission
View active custom columns
Enable more custom columns
View all diseases
View all diseases associated with gene FLNC
Create a new disease information entry
View available phenotype columns
View all screenings
View all screenings for gene FLNC
Create a new data submission
View active custom columns
Enable more custom columns
Submit new data
All individuals with variants in gene FLNC
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.
287 entries on 3 pages. Showing entries 1 - 100.
10 per page
25 per page
50 per page
100 per page
250 per page
500 per page
1000 per page
Legend
How to query
« First
Prev
1
2
3
Next
Last »
Individual ID
ID_report
Reference
Remarks
Gender
Consanguinity
Country
Population
Age at death
VIP
Data_av
Treatment
Disease
Phenotype details
Variants
Panel size
Owner
00050581
-
PubMed: DDDS 2015
,
Journal: DDDS 2015
family, 1 affected
F
-
United Kingdom (Great Britain)
-
-
-
Decipher
-
?
patent ductus arteriosus, midline central nervous system lipomas, global developmental delay, abnormality of the sclera, short philtrum
1
1
Johan den Dunnen
00053094
FamPatIII14
PubMed: Vorgerd 2005
4-generation family, 17 affecteds (12 female, 5 male)
?
-
Germany
-
-
-
-
-
MFM;IBM1
slowly progressive skeletal-muscle weakness, beginning lower extremities, respiratory insufficiency; CPK 2-8x; proximal myopathy; distal myopathy; diagnosis of myofibrillar myopathy using cardiac tissue
1
17
Monkol Lek
00053133
-
PubMed: Luan 2010
6-generation family, 10 affecteds
-
-
China
-
-
-
-
-
MFM;IBM1
progressive muscle weakness all limbs, mild cardiac symptoms, some patients chronic diarrhea; muscle biopsy numerous spheroid bodies/amorphous deposits fibers; proximal myopathy; diagnosis of myofibrillar myopathy using cardiac tissue
1
10
Ieke Ginjaar
00053136
-
-
-
F
-
United States
Asian
-
-
-
-
MFM;IBM1
-
1
1
Tom Winder
00053137
-
-
-
-
-
United States
-
-
-
-
-
MFM;IBM1
cardiomyopathy; CPK 1050
1
1
Tom Winder
00053138
-
-
-
F
-
Canada
-
-
-
-
-
MFM;IBM1
-
1
1
Tom Winder
00053141
-
-
-
M
-
United States
-
-
-
-
-
MFM;IBM1
skeletal myopathy, hypertrophic cardiomyopathy; CPK 676
1
1
Tom Winder
00053142
-
-
-
-
-
Canada
-
-
-
-
-
RCM
-
1
1
Andreas Brodehl
00053143
-
-
-
-
-
Canada
-
-
-
-
-
RCM
-
1
1
Andreas Brodehl
00053144
-
PubMed: Shatunov 2009
affected mother and daughter
F
-
Germany
-
-
-
-
-
MFM;IBM1
proximal myopathy; distal myopathy; diagnosis of myofibrillar myopathy using cardiac tissue
1
2
Ieke Ginjaar
00053145
-
H Lee ASHG 2010 A2365
4-generation family
?
-
Macedonia
-
-
-
-
-
MFM;IBM1
-
1
4
Johan den Dunnen
00137093
patient2
-
unaffected parents
M
no
United States
black, Indian
81y
-
-
-
?
adult onset, progressive upper and lower limb proximal weakness, scapular winging, arrhythmia, artificial ventilation, CK elevation >10x; muscle biopsy shows myopathic and dystrophic features
1
1
Eugen-Matthias Strehle
00174816
Pat200a
PubMed: Fichna 2018
-
F
-
Poland
-
-
-
-
-
LGMD
onset overt symptoms childhood; CPK raised 33x; limb-girdle weakness, waddling gait; improvement after corticosteroid treatment; Mi2-antibodies
1
1
Johan den Dunnen
00206810
-
-
-
F
-
-
-
-
-
-
-
?
Increased muscle glycogen content (HP:0009051); Cardiomyopathy (HP:0001638); Abnormal atrioventricular conduction (HP:0005150)
1
1
IMGAG
00206817
-
-
-
F
-
-
-
-
-
-
-
?
HP:0003198 (Myopathy)
1
1
IMGAG
00207952
-
-
-
F
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00208534
-
-
-
M
-
Germany
-
-
-
-
-
-
HP:0010549 (Weakness due to upper motor neuron dysfunction); HP:0003236 (Elevated serum creatine phosphokinase)
1
1
Andreas Laner
00208802
-
-
-
F
-
Germany
-
-
-
-
-
-
HP:0005109 (Abnormality of the Achilles tendon); HP:0001883 (Talipes)
1
1
Andreas Laner
00208813
-
-
-
M
-
Germany
-
-
-
-
-
-
HP:0011805 (Abnormality of muscle morphology); HP:0003198 (Myopathy)
1
1
Andreas Laner
00225538
Proband-Fam
PubMed: Nozari 2018
4-generation family, proband and 10 other affected family members. 5 ungenotyped family members had sudden cardiac death.
-
no
Iran
-
-
-
-
-
CMD
Palpitations (HP:0001962), dyspnea (HP:0002094), chest pain (HP:0100749), fatigue (HP:0012378), hypokinesia (HP:0002375), increased density of left ventricular trabeculae (HP:0031194), atrial fibrillation (HP:0005110), ventricular extrasystoles (HP:0006682)
1
11
Jilani Jawaid
00265475
Pat19
PubMed: Özyilmaz 2019
-
F
-
Turkey
-
-
-
-
-
LGMD
high CK, proximal weakness
1
1
Johan den Dunnen
00269291
-
-
-
-
-
Hong Kong;(Hong Kong)
Chinese
-
-
-
-
MFM5
-
1
34
Han-Chih Hencher Lee
00274300
Fam1399
PubMed: Reddy 2017
-
M
-
United States
Europe, white
-
-
-
-
LGMD
CK level 120-150; cardiomyopathy, heart transplantation; ambulatory; proximal myopathy
1
1
Johan den Dunnen
00286251
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286252
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286253
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286254
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286255
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286256
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286257
-
PubMed: Reinstein 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286258
-
PubMed: Valdes-Mas2014
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286259
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286260
-
PubMed: Bains 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286261
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286262
-
PubMed: Valdes-Mas2014
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286263
-
LOVD
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286264
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286265
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286266
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286267
-
PubMed: Duff 2011
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286268
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286269
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286270
-
PubMed: Gemelli 2019
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286271
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286272
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286273
-
PubMed: Begay 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286274
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286275
-
PubMed: Duff 2011
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286276
-
PubMed: Valdes-Mas2014
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286277
-
PubMed: Weihl 2015
-
-
-
-
-
-
-
-
-
IBM
-
1
1
Els Vanhoutte
00286278
-
PubMed: Dai 2015
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286279
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286280
-
PubMed: Alejandra Restrepo-Cordoba 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286281
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286282
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286283
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286284
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286285
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286286
-
PubMed: Tobita 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286287
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286288
-
LOVD
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286289
-
PubMed: Weihl 2015
-
-
-
-
-
-
-
-
-
IBM
-
1
1
Els Vanhoutte
00286290
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286291
-
PubMed: Weihl 2015
-
-
-
-
-
-
-
-
-
IBM
-
1
1
Els Vanhoutte
00286292
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286293
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286294
-
LOVD
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286295
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286296
-
PubMed: Zhang 2018
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286297
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286298
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286299
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286300
-
PubMed: Begay 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286301
-
PubMed: Weihl 2015
-
-
-
-
-
-
-
-
-
IBM
-
1
1
Els Vanhoutte
00286302
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286303
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286304
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286305
-
PubMed: Jaafar 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286306
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286307
-
PubMed: Cirino 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286308
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286309
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286310
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286311
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286312
-
LOVD
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286313
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286314
-
PubMed: Begay 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286315
-
PubMed: Reinstein 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286316
-
Verdonschot/Vanhoutte 2020, submitted
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286317
-
PubMed: Miszalski-Jamka 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286318
-
PubMed: Janin 2017
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286319
-
PubMed: Ortiz-Genga 2016
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286320
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286321
-
PubMed: Ader 2019
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286322
-
PubMed: Cui 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286323
-
PubMed: Kiselev 2018
-
-
-
-
-
-
-
-
-
CM
-
1
1
Els Vanhoutte
00286324
-
PubMed: Ghaoui 2015
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286325
-
Avila-Smirnow 2010, HG online
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286326
-
PubMed: Yu 2017
-
-
-
-
-
-
-
-
-
MYOP
-
1
1
Els Vanhoutte
00286327
-
PubMed: Weihl 2015
-
-
-
-
-
-
-
-
-
IBM
-
1
1
Els Vanhoutte
10 per page
25 per page
50 per page
100 per page
250 per page
500 per page
1000 per page
Legend
How to query
« First
Prev
1
2
3
Next
Last »
Powered by
LOVD v.3.0
Build 29
LOVD software ©2004-2023
Leiden University Medical Center