All individuals with variants in gene PTEN

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.

725 entries on 8 pages. Showing entries 1 - 100.

	Legend	How to query	« First	‹ Prev		1	2	3	4	5	6	7	8		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
00003279	-	-	-	-	-	-	-	-	-	-	-	-	-	1	1	Christopher Watson
00036618	-	-	-	-	-	Germany	-	-	-	-	-	-	-	1	1	Andreas Laner
00036619	-	-	-	-	-	Germany	-	-	-	-	-	?	lobular breast cancer in situ bilateral, DCIS, pituitary adenoma, glaucoma, Cervix cancer	1	1	Andreas Laner
00036620	-	-	-	-	-	Germany	-	-	-	-	-	?	ataxia, developmental delay	1	1	Andreas Laner
00036621	-	-	-	-	-	Germany	-	-	-	-	-	?	suspected Lhermitte-Duclos syndrome	1	1	Andreas Laner
00036622	-	-	-	-	-	Germany	-	-	-	-	-	-	-	1	1	Andreas Laner
00036623	-	-	-	-	-	Germany	-	-	-	-	-	?	suspected Bannayan-Riley-Ruvalcaba syndrome: macrencephaly, pigmentation of glans penis	1	1	Andreas Laner
00036624	-	-	-	-	-	Germany	-	-	-	-	-	-	-	1	1	Andreas Laner
00036625	-	-	-	-	-	Germany	-	-	-	-	-	?	suspected familiar breast cancer, breast cancer at the age of 41 years and 2 paternal aunts at the age of 50, father CRC, thyroid cancer, brother Seminon	1	1	Andreas Laner
00036626	-	-	-	-	-	Germany	-	-	-	-	-	?	breast cancer at the age of 36, hypothyroidism, maternal aunt: ovarian cancer at the age of 47, grand-mother maternal died from abdomen cancer at the age of 62	1	1	Andreas Laner
00036627	-	-	-	-	-	Germany	-	-	-	-	-	?	Cowden syndrome: breast cancer at the age of 43, familiar predisposition of breast cancer, thyroid disease and intestinal polyps	1	1	Andreas Laner
00036628	-	-	-	-	-	Germany	-	-	-	-	-	?	ataxia, developmental delay	1	1	Andreas Laner
00046298	-	-	1 breast-ovarian cancer families (kConFab)	-	-	Australia;New Zealand	-	-	-	-	-	cancer, breast	-	1	1	kConFab - Heather Thorne
00046299	-	-	1 breast-ovarian cancer families (kConFab)	-	-	Australia;New Zealand	-	-	-	-	-	cancer, breast	-	1	1	kConFab - Heather Thorne
00047328	-	PubMed: Plon 2008	-	F	-	(United States)	-	-	-	-	-	MINAS	lipoma; abdominal wall 0y; Haemangiomas 1y; Macrocephaly; Ovarian granulosa cell tumour 1y (No somatic PTEN or TP53 mutations. LOH PTEN . No LOH TP53); Xanthoastrocytoma. Temporal lobe 3y (No somatic PTEN or TP53 mutations. No LOH PTEN or TP53); Pelvic liposarcoma 4y (No somatic PTEN or TP53 mutations. LOH PTEN . No LOH TP53)	1	1	James Whitworth
00047329	-	PubMed: Zbuk 2007	-	F	-	(United States)	-	-	-	-	-	MINAS	macrocepahly; Papillomatous papules; Paraganglioma. Left common carotid 18y; Fibrocystic breast diasease 20-30y; Papillary thyroid cancer 37y; Paraganglioma. Right carotid body 39y; Uterine leiomyomas 30-40y	1	1	James Whitworth
00047860	-	PubMed: Valle 2004	-	F	-	(Spain)	-	-	-	-	-	MINAS	multiple colonic polyps 10y; Subcutaneous nodules; Multinodular goitre 26y; Papillary thyroid cancer, multiple nodular hyperplasia and follicular adenomas 26y; Diffuse lymphocytic chronic thyroiditis; Ovarian Morgani hidatide 15y; Cerebellar dysplastic gangliocytoma 26y; Palmar keratosis 26y; Head fibroma 26y; Lipomas 26y; Melanocytic neavi x2 28y; Facial papules 28y; Oral papillomatosis 28y	1	1	James Whitworth
00059031	-	PubMed: Liaw 1997	family, 2 affected males	M	?	(United States)	-	-	-	-	-	CWS1	melanoma (HP:0002861), trichilemmoma (HP:0012844), breast adenocarcinoma, no thyroid abormality (-HP:000082), glioblastoma (HP:0100843)	1	2	Johan den Dunnen
00059032	-	PubMed: Liaw 1997	family, 2 affected males	M	?	(United States)	-	-	-	-	-	CWS1	trichilemmoma (HP:0012844), no breast adenocarcinoma, thyroid follicular adenoma, no CNS abnormality	1	2	Johan den Dunnen
00059033	-	PubMed: Liaw 1997	family, 3 affected females	M	?	(United States)	-	-	-	-	-	CWS1	trichilemmoma (HP:0012844), no breast adenocarcinoma, thyroid multinodular Goiter, macrocephaly (HP:0000256)	1	3	Johan den Dunnen
00059034	-	PubMed: Liaw 1997	family, 4 affecteds (2F, 2M)	F;M	?	(United States)	-	-	-	-	-	CWS1	trichilemmoma (HP:0012844), breast fibroadenoma/hamartoma, no thyroid abormality (-HP:000082), macrocephaly (HP:0000256) lehrmitte-Duclos	1	4	Johan den Dunnen
00059036	-	PubMed: Marsh 1997	family	?	?	United States	-	-	-	-	-	BRRS	macrocephaly (HP:0000256), no thyroid goiter (-HP:0000853), lipomas (HP:0001012), hemangiomas, leiomyomas, speckled penis, no breast abnormality	1	1	Johan den Dunnen
00059037	-	PubMed: Marsh 1997	family, several affected	?	-	United States	-	-	-	-	-	BRRS	macrocephaly (HP:0000256), Hashimoto's thyroiditis (HP:0000872), lipomas (HP:0001012), speckled penis, no breast abnormality	1	1	Johan den Dunnen
00081841	-	-	-	M	no	-	West Indies	-	-	-	-	CWS1	typical mucocutaneous lesions, begnin thyroid lesions, hamartomas polys, glycogenic acanthosis, lipovascular lesions, macrocephaly (HP:0000256)	1	1	Michel Longy
00081842	-	-	-	F	no	-	Maghreb	-	-	-	-	CWS1	Typical mucocutaneous lesions, begnin thyroid lesions,begnin breast lesions,hamartomas polyps,glycogenic acanthosis, lipovascular lesions, macrocephaly, uterine fibromas	1	1	Michel Longy
00090712	-	-	gene panel study on colon cancer cases	-	-	United States	-	-	-	data for MLH1, MLH3, MSH2, MSH3, MSH6, MUTYH, PMS2 in the LOVD Insight database	-	CRC	-	1	1	Melissa DeRycke
00090713	-	-	gene panel study on colon cancer cases	-	-	United States	-	-	-	data for MLH1, MLH3, MSH2, MSH3, MSH6, MUTYH, PMS2 in the LOVD Insight database	-	CRC	-	1	1	Melissa DeRycke
00152702	CACX-01	-	First generation family	F	no	India	South Asian	61y	-	no	Chemotheraphy	cancer, cervical, somatic	HP:0030079 Cervix cancer	1	1	Akram Husain .RS
00152731	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152732	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152733	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152734	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152735	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152736	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152737	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152738	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152739	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152740	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152741	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152742	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152743	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152744	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152745	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152746	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152747	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152748	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152749	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152750	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152751	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152752	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152753	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152754	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152755	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152756	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152757	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152758	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152759	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152760	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152761	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152762	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152763	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152764	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152765	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152766	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152767	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152768	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152769	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152770	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152771	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152772	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152773	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152774	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152775	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152776	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152777	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152778	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152779	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152780	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152781	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152782	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152783	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152784	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152785	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152786	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152787	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152788	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152789	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152790	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152791	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152792	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152793	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152794	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152795	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152796	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152797	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152798	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152799	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152800	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152801	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen
00152802	25669429-Pat?	PubMed: Nizialek 2015	analysis 1012 CS patients	-	-	United States	-	-	-	-	-	CWS1	-	1	1	Johan den Dunnen

	Legend	How to query	« First	‹ Prev		1	2	3	4	5	6	7	8		Next ›	Last »

Global Variome shared LOVD

PTEN (phosphatase and tensin homolog)