Global Variome shared LOVD
VPS13A (vacuolar protein sorting 13 homolog A (S. ...))
LOVD v.3.0 Build 30b [
Current LOVD status
]
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|
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Curators:
Gabriel Miltenberger-Miltenyi
,
Antonio Velayos-Baeza
, and
Adrian Danek
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View VPS13A gene homepage
View graphs about the VPS13A gene database
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View all transcripts of gene VPS13A
Create a new transcript information entry
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View all variants affecting transcripts
View unique variants in gene VPS13A
View all variants in gene VPS13A
Full data view for gene VPS13A
Create a new data submission
View active genomic custom columns
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View all individuals
View all individuals with variants in gene VPS13A
Create a new data submission
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Enable more custom columns
View all diseases
View all diseases associated with gene VPS13A
Create a new disease information entry
View available phenotype columns
View all screenings
View all screenings for gene VPS13A
Create a new data submission
View active custom columns
Enable more custom columns
Submit new data
All individuals with variants in gene VPS13A
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.
83 entries on 1 page. Showing entries 1 - 83.
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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
00037338
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037339
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037340
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037341
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037342
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037343
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037344
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037345
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037346
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037347
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037348
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037349
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037350
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037351
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037352
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037353
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037354
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037355
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037356
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037357
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037358
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037359
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037360
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037361
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037362
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037363
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037364
-
-
-
-
-
Germany
-
-
-
-
-
?
suspected neuroacanthocytosis, dystonia of tongue and gullet
1
1
Andreas Laner
00037365
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037366
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037367
-
-
-
-
-
Germany
-
-
-
-
-
?
suspected Chorea-acanthocytosis
1
1
Andreas Laner
00037368
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037369
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037370
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037371
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037372
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037373
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037374
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037375
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037376
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037377
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037378
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037379
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037380
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037381
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037382
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037383
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037384
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037385
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037386
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037387
-
-
-
-
-
Germany
-
-
-
-
-
?
bulbar paralysis
1
1
Andreas Laner
00037388
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037389
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037390
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037391
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037392
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037393
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037394
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037395
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037396
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037397
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037398
-
-
-
-
-
Germany
-
-
-
-
-
?
Chorea-acanthocytosis
1
1
Andreas Laner
00037399
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037400
-
-
-
-
-
Germany
-
-
-
-
-
?
Chorea-acanthocytosis
1
1
Andreas Laner
00037401
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00037402
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00154973
-
-
-
?
-
(Germany)
-
-
-
-
-
?
HP:0012013 (EEG with temporal focal spike waves)
1
1
IMGAG
00248472
FamCHAC3
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
2-generation family, 2 affected brothers (deceased), unaffected heterozygous carrier parents
M
no
-
-
-
-
-
-
CHAC
see paper; ...
2
2
Johan den Dunnen
00248473
FamCHAC6
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
2-generation family, 1 affected, unaffected heterozygous carrier parents
F
-
-
-
-
-
-
-
CHAC
see paper; ...
1
1
Johan den Dunnen
00248474
FamCHAC2
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
1
1
Johan den Dunnen
00248475
FamCHAC1
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
2
1
Johan den Dunnen
00248476
FamCHAC4
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
1
1
Johan den Dunnen
00248477
FamCHAC5
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
2
1
Johan den Dunnen
00248478
FamCHAC7
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
2
1
Johan den Dunnen
00248479
FamCHAC8
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
1
1
Johan den Dunnen
00248480
FamCHAC9
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
1
1
Johan den Dunnen
00248481
FamCHAC10
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
1
1
Johan den Dunnen
00248482
FamCHAC11
PubMed: Rampoldi 2001
,
Journal: Rampoldi 2001
-
-
-
-
-
-
-
-
-
CHAC
see paper; …
2
1
Johan den Dunnen
00294885
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
24
Mohammed Faruq
00294886
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
68
Mohammed Faruq
00305253
-
PubMed: Narang 2020
,
Journal: Narang 2020
analysis 2794 individuals (India)
-
-
India
-
-
-
-
-
?
-
1
1
Mohammed Faruq
00309951
-
-
-
F
-
-
-
-
-
-
-
?
Abnormality of movement (HP:0100022); Dysarthria (HP:0001260); Global developmental delay (HP:0001263); Chorea (HP:0002072)
1
1
Andreas Laner
00326816
174468
-
-
M
?
Germany
-
-
-
-
-
CHAC
(+) Chorea,(+) Incoordination,(+) Clumsiness,(+) Involuntary movements,(+) Craniofacial dystonia,(+) Bilateral tonic-clonic seizure with generalized onset,(+) Lingual dystonia,(+) Motor seizure
2
1
Andreas Laner
00411581
-
-
-
M
no
India
Asian
-
-
-
-
CHAC
-
1
1
Kapaettu Satyamoorthy
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