Global Variome shared LOVD
B3GALT6 (beta-1,3-galactosyltransferase 6)
LOVD v.3.0 Build 29 [
Current LOVD status
]
Register as submitter
|
Log in
Curators:
Cynthia Silveira
and
Raymond Dalgleish
View all genes
View B3GALT6 gene homepage
View graphs about the B3GALT6 gene database
Create a new gene entry
View all transcripts
View all transcripts of gene B3GALT6
Create a new transcript information entry
View all variants
View all variants affecting transcripts
View unique variants in gene B3GALT6
View all variants in gene B3GALT6
Full data view for gene B3GALT6
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 B3GALT6
Create a new data submission
View active custom columns
Enable more custom columns
View all diseases
View all diseases associated with gene B3GALT6
Create a new disease information entry
View available phenotype columns
View all screenings
View all screenings for gene B3GALT6
Create a new data submission
View active custom columns
Enable more custom columns
Submit new data
All individuals with variants in gene B3GALT6
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.
46 entries on 1 page. Showing entries 1 - 46.
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
Individual ID
ID_report
Reference
Remarks
Gender
Consanguinity
Country
Population
Age at death
VIP
Data_av
Treatment
Disease
Phenotype details
Variants
Panel size
Owner
00081681
-
-
-
M
no
-
-
-
-
-
-
SEMDJL1
-
2
1
Cynthia Silveira
00318131
Patient 1
PubMed: Nakajima et al., 2013
The patient had a sibling who was also compound heterozygous for both variants and had a similar phenotype.c.1A>G showed a decreased molecular weight ~4kD lower compared to the WT protein. The authors suggested that the translation initiation at the second ATG of the coding sequence (position c.124) would become the initiation codon, resulting in a protein change of p.Met1_Ala41del.The technique used was whole exome sequencing.
-
-
Japan
Japanese
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318132
Patient 3
PubMed: Nakajima et al., 2013
The authors predicted the c.1A>G variant would cause a 41 amino acid deletion due to the second ATG becoming the initiating codon. The technique used was whole exome sequencing.
-
-
Japan
Japanese
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318133
P4
PubMed: Nakajima et al., 2013
The authors predicted the c.1A>G variant would result in a 41aa deletion due to the second ATG being the initiation codon.
-
-
Japan
Japanese
-
-
-
-
SEMDJL1
-
1
1
Raymond Dalgleish
00318134
P5
PubMed: Nakajima et al., 2013
The authors predicted the c.1A>G variant would result in a 41 aa deletion due to the second ATG becoming the initiating codon. The technique used was whole exome sequencing.
-
-
Japan
Japanese
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318135
P7
PubMed: Nakajima et al., 2013
The authors predicted the c.1A>G variant would result in a 41aa deletion due to the second ATG becoming the initiating codon. The technique used was whole exome sequencing.
-
-
Japan;Singapore
Japanese/Singaporean
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318136
-
PubMed: Van Damme et al., 2018
-
-
-
India
Indian
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318137
P12
PubMed: Nakajima et al., 2013
-
-
-
Brazil
-
-
-
-
-
EDS, EDSSPD1
-
2
1
Raymond Dalgleish
00318138
F1
PubMed: Vorster et al., 2014
The patient had an unaffected sibling who only carried the c.16C>T variant.
-
-
South Africa
Afrikaner
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318139
-
PubMed: Van Damme et al., 2018
The technique used was the custom NGS Gene panel.
-
-
France
French
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318140
-
PubMed: Van Damme et al., 2018
A non-consanguineous couple of Caucasian origin had two pregnancies terminated because of severe skeletal dysplasia. The second pregnancy was assigned the Patient ID AN_005849.The technique used was whole exome sequencing.
-
-
Netherlands
Dutch
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318141
-
PubMed: Van Damme et al., 2018
This patient (PIV:1) has two affected siblings with IDs AN_005842 and AN_005843.
-
-
Congo;Rwanda
Congolese-Rwandan
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318142
P8
PubMed: Nakajima et al., 2013
-
-
-
Viet Nam
Vietnamese
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318143
Family 1
PubMed: Honey et al., 2016
The patient had a brother who was also positive for both variants, and had a similar phenotype.
-
-
South Africa
Afrikaner
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318144
Family 2
PubMed: Honey et al., 2016
-
-
-
-
-
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318145
Patient 1
PubMed: Ritelli et al., 2015
The patient had a younger sister who carried both variants and had a similar phenotype. The technique used was the custom NGS Gene panel.
-
-
-
-
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318146
F3
PubMed: Vorster et al., 2014
-
-
-
-
-
-
-
-
-
SEMDJL1
-
1
1
Raymond Dalgleish
00318147
F8
PubMed: Vorster et al., 2014
One unaffected parent's B3GALT6 gene was sequenced and shown to be heterozygous for c.235A>G.
-
-
South Africa
Afrikaner
-
-
-
-
SEMDJL1
-
1
1
Raymond Dalgleish
00318148
F10
PubMed: Vorster et al., 2014
-
-
-
South Africa
Afrikaner
-
-
-
-
SEMDJL1
-
1
1
Raymond Dalgleish
00318149
Patient 3
PubMed: Caraffi et al., 2019
The patient was the second child of non-consanguineous parents. Three variants were detected, and variant c.308C>T was described as a variant of uncertain significance. The technique used was the custom NGS Gene panel.
-
-
-
-
-
-
-
-
EDS, EDSSPD1
-
3
1
Raymond Dalgleish
00318150
P3
PubMed: Malfait et al., 2013
Has a younger sister, P4, of the same genotype
-
-
Iran
-
-
-
-
-
EDS, EDSSPD2
-
2
1
Raymond Dalgleish
00318151
P9
PubMed: Nakajima et al., 2013
This patient was further described in {PMID31614862:Caraffi et al., 2019}
-
-
Italy
Italy
-
-
-
-
EDS, EDSSPD1
-
2
1
Raymond Dalgleish
00318152
-
PubMed: Van Damme et al., 2018
-
-
-
Netherlands
Dutch
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318153
-
PubMed: Sellars et al., 2014
The authors have confirmed the transcript-level sequence variants that cause the amino acid substitutions.The technique used was whole exome sequencing.
-
-
-
-
-
-
-
-
EDS, EDSSPD2
-
2
1
Raymond Dalgleish
00318154
-
PubMed: Van Damme et al., 2018
-
-
-
Netherlands
Dutch
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318155
IV-5
PubMed: Trejo et al., 2017
The proband also had two siblings who carried both variants in B3GALT6, and were positive for SEMDJL, with some clinical variability. They were also described in {PMID28229453:Ranza et al., 2017}
-
-
-
-
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318156
-
PubMed: Van Damme et al., 2018
The technique used was the custom NGS Gene panel.
-
-
United States
USA
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318157
Family 9
PubMed: Alazami et al., 2016
The formal ID for this family is 12DG2007.The technique used was whole exome sequencing.
-
-
-
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318158
-
PubMed: Van Damme et al., 2018
-
-
-
Iran
Iranian
-
-
-
-
EDS, EDSSPD2
-
1
1
Sofie Symoens
00318159
Family 6
PubMed: Alazami et al., 2016
The proband has an affected cousin.The formal ID for this family is 12DG0715.The technique used was whole exome sequencing.
-
-
-
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318160
Family 7
PubMed: Alazami et al., 2016
There are two affected individuals in this family.The formal ID for this family is 12DG1291.The technique used was whole genome sequencing.
-
-
-
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318161
Family 8
PubMed: Alazami et al., 2016
The formal ID for this family is 12DG2397.The technique used was whole genome sequencing.
-
-
-
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318162
P10
PubMed: Nakajima et al., 2013
P10, of family F9, has a younger female relative of the same genotype (relation not explicitly stated, probably a sister)
-
-
Italy;Canada
Italian/Canadian
-
-
-
-
EDS, EDSSPD1
-
2
1
Raymond Dalgleish
00318163
V-2
PubMed: Ben-Mahmoud et al., 2018
This family was previously described in
PubMed: Al-Gazali et al., 1999
. The proband had two siblings V-1, and V-2, who carried the same variants and phenotype. The authors of {PMID29443383:Ben-Mahmoud et al., 2018} suggest that Al-Gazali syndrome represents the more severe phenotype among B3GALT6-related diseases due to patients dying within the first few months of life.
-
-
Palestine
Palestinian
-
-
-
-
ALGAZ
-
1
1
Raymond Dalgleish
00318164
P1
PubMed: Malfait et al., 2013
P1 has a maternal cousin, P2, of the same genotype
-
-
Iran
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318165
P5
PubMed: Malfait et al., 2013
-
-
-
Iran
-
-
-
-
-
EDS, EDSSPD2
-
1
1
Raymond Dalgleish
00318166
P6
PubMed: Nakajima et al., 2013
The technique used was whole exome sequencing.
-
-
Japan
Japanese
-
-
-
-
SEMDJL1
-
2
1
Raymond Dalgleish
00318167
-
PubMed: Van Damme et al., 2018
The technique used was whole exome sequencing.
-
-
United States
USA
-
-
-
-
EDS, EDSSPD2
-
2
1
Sofie Symoens
00318168
Patient 7
PubMed: Ranza et al., 2017
The patient initially had no clinical diagnosis, but was classified as having SEMDJL1 after molecular screening. The technique used was whole exome sequencing.
-
-
-
-
-
-
-
-
SEMDJL1
-
1
1
Raymond Dalgleish
00331329
12DG0715
PubMed: Maddirevula 2018
isolated case
F
yes
-
Arab
-
-
-
-
skeletal dysplasia
Recurrent fractures, Delayed gross motor development, Blue sclerae, Short stature, KyphoYes
1
1
LOVD
00331330
12DG1291, 12DG1024
PubMed: Maddirevula 2018
family, 2 affected (F, M)
F;M
yes
-
Arab
-
-
-
-
skeletal dysplasia
Delayed gross motor development, Osteopenia, Abnormal facial shape, Micrognathia, BluNo
1
2
LOVD
00331331
12DG2397
PubMed: Maddirevula 2018
family
F
yes
-
Arab
-
-
-
-
skeletal dysplasia
Multiple joint dislocation, Distal arthrogryposis, Aortic valve stenosis, Prominent foreheadYes
1
1
LOVD
00331332
12DG1024
PubMed: Maddirevula 2018
family
F
yes
-
Arab
-
-
-
-
skeletal dysplasia
Hypotonia, Abnormal facial shape, Cutis laxa, Wide anterior fontanel, Hypotonia, Talipes eNo
1
1
LOVD
00331333
12DG2007
PubMed: Maddirevula 2018
isolated case
F
yes
-
Arab
-
-
-
-
skeletal dysplasia
Blue sclerae, Severe short stature, Mitral regurgitation, Joint laxity, Joint dislocation, Kyp Yes
1
1
LOVD
00428042
I-1
PubMed: Shen et al., 2022
-
M
no
China
-
-
-
-
-
EDSSPD
Craniofacial abnormalities, scoliosis, fifth-finger clinodactyly, restricted elbow movement, radioulnar synostosis, aclasis of right humerus and ulna
1
1
Oumaima Nehaili
00428046
III-2
PubMed: Shen et al., 2022
-
M
no
China
-
-
-
-
-
EDSSPD
Prominent craniofacial abnormalities, scoliosis, fifth-finger clinodactyly, restricted elbow movement, joint hypermobility, barrel chest, soft/doughy skin.
2
1
Oumaima Nehaili
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
Powered by
LOVD v.3.0
Build 29
LOVD software ©2004-2023
Leiden University Medical Center