Global Variome shared LOVD
KMT2D (lysine (K)-specific methyltransferase 2D)
LOVD v.3.0 Build 30b [
Current LOVD status
]
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Curator:
Global Variome, with Curator vacancy
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View KMT2D gene homepage
View graphs about the KMT2D gene database
Create a new gene entry
View all transcripts
View all transcripts of gene KMT2D
Create a new transcript information entry
View all variants
View all variants affecting transcripts
View unique variants in gene KMT2D
View all variants in gene KMT2D
Full data view for gene KMT2D
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View active genomic custom columns
Enable more genomic custom columns
View all individuals
View all individuals with variants in gene KMT2D
Create a new data submission
View active custom columns
Enable more custom columns
View all diseases
View all diseases associated with gene KMT2D
Create a new disease information entry
View available phenotype columns
View all screenings
View all screenings for gene KMT2D
Create a new data submission
View active custom columns
Enable more custom columns
Submit new data
All individuals with variants in gene KMT2D
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.
1093 entries on 11 pages. Showing entries 1 - 100.
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Legend
How to query
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Individual ID
ID_report
Reference
Remarks
Gender
Consanguinity
Country
Population
Age at death
VIP
Data_av
Treatment
Disease
Phenotype details
Variants
Panel size
Owner
00019621
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019622
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019623
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019624
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019625
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019626
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019627
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019628
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019629
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019630
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019631
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019632
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019633
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019634
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019635
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019636
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019637
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019638
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019639
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019640
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019641
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019642
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019643
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019644
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019645
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019646
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019647
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019648
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019649
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019650
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019651
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019652
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019653
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019654
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019655
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019656
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019657
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019658
-
PubMed: Micale 2014
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Giuseppe Merla
00019659
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019660
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019661
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019662
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019663
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019664
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019665
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019666
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019667
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019668
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019669
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019670
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019671
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019673
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019674
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
2
1
B. Augello
00019675
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019676
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019677
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019678
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019679
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019680
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019681
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019682
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019683
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019684
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019685
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019686
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019687
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019688
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019689
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
B. Augello
00019690
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019691
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019692
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019693
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019694
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019695
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00019696
-
-
-
-
-
Italy
-
-
-
-
-
KABUK1
-
1
1
Johan den Dunnen
00036161
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036162
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036163
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036164
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036165
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036166
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036167
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036168
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036169
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036170
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036171
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036172
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036173
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036174
-
-
-
-
-
Germany
-
-
-
-
-
?
psychomotor retardation, muscle hypotonia, Fazies (Kabuki syndrome)
1
1
Andreas Laner
00036175
-
-
-
-
-
Germany
-
-
-
-
-
?
suspected Kabuki syndrome
1
1
Andreas Laner
00036176
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036177
-
-
-
-
-
Germany
-
-
-
-
-
?
psychomotor retardation, muscle hypotonia, Fazies (Kabuki syndrome)
1
1
Andreas Laner
00036178
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036179
-
-
-
-
-
Germany
-
-
-
-
-
?
global developmental delay
1
1
Andreas Laner
00036180
-
-
-
-
-
Germany
-
-
-
-
-
?
suspected Kabuki syndrome
1
1
Andreas Laner
00036181
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036182
-
-
-
-
-
Germany
-
-
-
-
-
?
suspected Kabuki syndrome
1
1
Andreas Laner
00036183
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00036184
-
-
-
-
-
Germany
-
-
-
-
-
?
vague dysmorphism syndrome
1
1
Andreas Laner
00036185
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
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