Disease #02142 (EIEE9 (encephalopathy, epileptic, early infantile, type 9 (EIEE-9)), OMIM:300088)

Official abbreviation	EIEE9
Name	encephalopathy, epileptic, early infantile, type 9 (EIEE-9)
OMIM ID	300088
Human Phenotype Ontology Project (HPO)	HPO
Inheritance	X-linked
Individuals reported having this disease	42
Phenotype entries for this disease	8
Associated with 1 gene	PCDH19
Associated tissues	-
Disease features	early infantile epileptic encephalopathy, also known as epilepsy and mental retardation restricted to females (EFMR)
Remarks	-
Date created	2014-09-25 23:29:40 +02:00 (CEST)
Date last edited	2021-12-10 21:51:32 +01:00 (CET)

Individuals

Legend

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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'

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42 entries on 1 page. Showing entries 1 - 42.

Legend

How to query

Individual ID	ID_report	Reference	Remarks	Gender	Consanguinity	Country	Population	Age at death	VIP	Data_av	Treatment	Disease	Phenotype details	Genes screened	Variants in genes	Variants	Panel size	Owner
00163939	27527380-Pat1	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163940	27527380-Pat2	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163941	27527380-Pat3	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163943	27527380-Pat4	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163944	27527380-Pat5	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163945	27527380-Pat6	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163946	27527380-Pat7	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163947	27527380-Pat8	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163948	27527380-Pat9	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163949	27527380-Pat10	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163950	27527380-Pat11	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163951	27527380-Pat12	PubMed: Liu 2017	-	F	-	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163952	27527380-Pat13	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163953	27527380-Pat14	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163954	27527380-Pat15	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163955	27527380-Pat16	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163956	27527380-Pat17	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163957	27527380-Pat18	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163958	27527380-Pat19	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163959	27527380-Pat20	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163960	27527380-Pat21	PubMed: Liu 2017	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163961	patient 22	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163962	patient 23	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163963	patient 24	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163964	patient 25	-	-	M	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163965	patient 26	-	-	M	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163966	patient 27	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163967	patient 28	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163968	patient 29	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163969	patient 30	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163970	patient 31	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163971	patient 32	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163972	patient 33	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163973	patient 34	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163974	patient 35	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163975	patient 36	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163976	patient 37	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	2	1	Xiaoxu Yang
00163977	patient 38	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163978	patient 39	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163979	patient 40	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163980	patient 41	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang
00163981	patient 42	-	-	F	no	China	-	-	-	-	-	EIEE9	-	PCDH19	PCDH19	1	1	Xiaoxu Yang

Legend

How to query

Global Variome shared LOVD

ENG (endoglin)