All individuals with variants in gene HNF4A

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.

1055 entries on 11 pages. Showing entries 1 - 100.

	Legend	How to query	« First	‹ Prev		1	2	3	4	5	6	7	8	9	10	11		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
00208751	Proband 1-Fam	PubMed: Fujiwara 2013	proband, variant detected in father, paternal aunt and paternal grandfather.	F	?	Japan	-	-	-	-	insulin	MODY1	Elevated hemoglobin A1c (HP:0040217), glycosuria (HP:0003076), hyperglycemia (HP:0003074), postprandial hyperglycemia (HP:0011998), decreased apolipoprotein AI level (HP:0031799), abnormal apolipoprotein level (HP:0025201)	1	4	Jilani Jawaid
00208851	Proband 2-Fam	PubMed: Fujiwara 2013	proband, variant detected in mother and maternal grandfather. Affected two maternal great-uncles.	F	?	Japan	-	-	-	-	glibenclamide and metformin	MODY1	Elevated hemoglobin A1c HP:0040217, glycosuria HP:0003076	1	3	Jilani Jawaid
00243311	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243312	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243313	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	6	1	Monique Losekoot
00243314	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243315	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243316	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243317	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243318	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243319	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243320	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243321	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243322	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243323	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243324	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243325	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243326	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243327	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243328	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243329	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243330	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243331	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243332	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	6	1	Monique Losekoot
00243333	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243334	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243335	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243336	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243337	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243338	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243339	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243340	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243341	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243342	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243343	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243344	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243345	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243346	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243347	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243348	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243349	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243350	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243351	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243352	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243353	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243354	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243355	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243356	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243357	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243358	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243359	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243360	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243361	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243362	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243363	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243364	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243365	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243366	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243367	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243368	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243369	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243370	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243371	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243372	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243373	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243374	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243375	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243376	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243377	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243378	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243379	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243380	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243381	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243382	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243383	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243384	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243385	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243386	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243387	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	7	1	Monique Losekoot
00243388	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243389	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243390	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243391	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243392	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243393	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243394	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243395	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	5	1	Monique Losekoot
00243396	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243397	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243398	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	2	1	Monique Losekoot
00243399	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243400	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243401	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243402	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	6	1	Monique Losekoot
00243403	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	6	1	Monique Losekoot
00243404	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	3	1	Monique Losekoot
00243405	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243406	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot
00243407	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	4	1	Monique Losekoot
00243408	-	M. Losekoot	-	-	-	-	-	-	-	-	-	MODY	-	1	1	Monique Losekoot

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Global Variome shared LOVD

HNF4A (hepatocyte nuclear factor 4, alpha)