Global Variome shared LOVD
FUS (fused in sarcoma)
LOVD v.3.0 Build 30b [
Current LOVD status
]
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View all variants affecting transcripts
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View all variants in gene FUS
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View all individuals with variants in gene FUS
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View all diseases associated with gene FUS
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View available phenotype columns
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View all screenings for gene FUS
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All individuals with variants in gene FUS
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.
217 entries on 3 pages. Showing entries 1 - 100.
10 per page
25 per page
50 per page
100 per page
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
00035876
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00035877
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00035878
-
-
-
-
-
Germany
-
-
-
-
-
-
-
1
1
Andreas Laner
00050683
-
PubMed: DDDS 2015
,
Journal: DDDS 2015
family, affected sibling(s)
M
-
United Kingdom (Great Britain)
-
-
-
Decipher
-
?
microcephaly, abnormality of the outer ear, prominent metopic ridge, narrow mouth, inferior vermis hypoplasia, delayed speech and language development
1
2
Johan den Dunnen
00057196
-
-
-
-
-
Norway
-
-
-
-
-
PD
-
1
1
Zafar Iqbal
00074626
-
PubMed: Kim 2015
,
Journal: Kim 2015
-
F
-
Korea
Korean
31y
-
-
-
ALS
dysarthria (HP:0001260), weakness in her left proximal arm (HP:0003701), respiratory difficulty with dysphagia (HP:0002015), no cognitive and/or behavioral impairments (-HP:0100543)
1
1
Jamie Zeegers
00074627
-
PubMed: Kim 2015
,
Journal: Kim 2015
-
F
-
Korea
Korean
35y
-
-
-
ALS
weakness in her right distal arm (HP:0002460), dysarthria (HP:0001260), respiratory difficulty (HP:?), no cognitive and/or behavioral impairments (-HP:0100543)
1
1
Jamie Zeegers
00149556
-
-
-
-
-
United Kingdom (Great Britain)
white
-
-
-
-
ALS6
-
1
15
Marc Cruts
00149557
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149558
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149559
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149560
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149561
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149562
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149563
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149564
-
-
-
-
-
-
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149565
-
-
-
-
-
Cape Verde
African - Portugese
-
-
-
-
ALS6
-
1
4
Marc Cruts
00149566
-
-
-
-
-
United States
-
-
-
-
-
ALS6
-
1
13
Marc Cruts
00149567
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
3
Marc Cruts
00149568
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
2
Marc Cruts
00149569
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
3
Marc Cruts
00149570
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
2
Marc Cruts
00149571
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
6
Marc Cruts
00149572
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
3
Marc Cruts
00149573
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
2
Marc Cruts
00149574
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
2
Marc Cruts
00149575
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
2
Marc Cruts
00149576
-
-
-
-
-
-
-
37y04m
-
-
-
ALS6
-
1
1
Marc Cruts
00149577
-
-
-
-
-
-
-
22y06m
-
-
-
ALS6
-
1
1
Marc Cruts
00149578
-
-
-
-
-
-
-
67y07m
-
-
-
ALS6
-
1
1
Marc Cruts
00149579
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
3
Marc Cruts
00149580
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
2
2
Marc Cruts
00149581
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
12
Marc Cruts
00149582
-
-
-
-
-
-
white (Italian)
32y11m
-
-
-
ALS6
-
1
1
Marc Cruts
00149583
-
-
-
-
-
-
white (Italian)
30y
-
-
-
ALS6
-
1
1
Marc Cruts
00149584
-
-
-
-
-
-
white (Italian)
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149585
-
-
-
-
-
-
white (Italian)
33y11m
-
-
-
ALS6
Dementia
1
1
Marc Cruts
00149586
-
-
-
-
-
-
white (Italian)
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149587
-
-
-
-
-
France
white
28y04m
-
-
-
ALS6
-
1
1
Marc Cruts
00149588
-
-
-
-
-
Canada
white
56y06m
-
-
-
ALS6
-
1
1
Marc Cruts
00149589
-
-
-
-
-
France
white
38y
-
-
-
ALS6
-
1
1
Marc Cruts
00149590
-
-
-
-
-
France
white
80y10m
-
-
-
ALS6
-
1
1
Marc Cruts
00149591
-
-
-
-
-
-
-
49y
-
-
-
ALS6
-
1
1
Marc Cruts
00149592
-
-
-
-
-
-
-
39y
-
-
-
ALS6
-
1
1
Marc Cruts
00149593
-
-
-
-
-
Japan
Asian
46y04m
-
-
-
ALS6
-
1
6
Marc Cruts
00149595
-
-
-
-
-
Belgium
white
56y07m
-
-
-
ALS6
-
1
6
Marc Cruts
00149647
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149648
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149649
-
-
-
-
-
Belgium
white
-
-
-
-
FTD
-
1
1
Marc Cruts
00149659
-
-
-
-
-
Italy
white
31y
-
-
-
ALS6
-
1
1
Marc Cruts
00149660
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149662
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149663
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149664
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149665
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149666
-
-
-
-
-
Italy
white
-
-
-
-
ALS6
-
1
1
Marc Cruts
00149675
-
-
-
-
-
United States
-
22y
-
-
-
ALS6
-
1
1
Marc Cruts
00149676
-
-
-
-
-
United States
-
66y
-
-
-
ALS6
-
1
1
Marc Cruts
00149678
-
-
-
-
-
Belgium
white
-
-
-
-
ALS6
-
1
3
Marc Cruts
00152018
-
-
-
-
-
-
-
-
-
-
-
ALS6
-
1
1
Gemeinschaftspraxis für Humangenetik Dresden
00246712
-
PubMed: Belzil 2011
-
-
-
France
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246713
-
PubMed: Belzil 2009
-
-
-
France
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246714
-
PubMed: Belzil 2011
-
-
-
France
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246715
-
PubMed: Yan 2010
-
-
-
-
European
-
-
-
-
ALS
-
1
1
Serena Lattante
00246716
-
PubMed: van Blitterswijk 2012
-
-
-
Netherlands
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246717
-
PubMed: Brown 2012
-
-
-
United States
-
-
-
-
-
ALS, IBM
-
1
1
Serena Lattante
00246718
-
PubMed: Ticozzi 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246719
-
PubMed: Kwiatkowski 2009
-
-
-
United States
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246720
-
PubMed: Belzil 2011
-
-
-
France
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246721
-
PubMed: Yan 2010
-
-
-
-
European
-
-
-
-
ALS
FTLD
1
1
Serena Lattante
00246722
-
PubMed: Rademakers 2010
-
-
-
Canada
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246723
-
PubMed: Corrado 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246724
-
PubMed: Yan 2010
-
-
-
Korea, South (Republic)
-
-
-
-
-
ALS
FTLD
1
1
Serena Lattante
00246725
-
PubMed: Corrado 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246726
-
PubMed: Corrado 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246727
-
PubMed: Kwon 2012
-
-
-
Korea
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246728
-
PubMed: Corrado 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246729
-
PubMed: Corrado 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246730
-
PubMed: Ticozzi 2009
-
-
-
Italy
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246731
-
PubMed: Kwiatkowski 2009
-
-
-
United States
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246732
-
PubMed: Kwon 2012
-
-
-
Korea
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246733
-
PubMed: DeJesus-Hernandez 2010
-
-
-
United States
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246734
-
PubMed: Groen 2010
-
-
-
Netherlands
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246735
-
PubMed: Nagayama 2012
-
-
-
Japan
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246736
-
PubMed: DeJesus-Hernandez 2010
-
-
-
United States
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246737
-
PubMed: Hara 2012
-
-
-
Japan
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246738
-
PubMed: Yan 2010
-
-
-
-
European
-
-
-
-
ALS
-
1
1
Serena Lattante
00246739
-
PubMed: van Blitterswijk 2012
-
-
-
Netherlands
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246740
-
PubMed: Yamashita 2012
-
-
-
Japan
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246741
-
PubMed: Zou 2012
-
-
-
China
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246742
-
PubMed: Waibel 2010
-
-
-
Germany
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246743
-
PubMed: Bosco 2010
-
-
-
United States
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246744
-
PubMed: Kwon 2012
-
-
-
Korea
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246745
-
PubMed: van Blitterswijk 2012
-
-
-
Netherlands
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246746
-
PubMed: Yan 2010
-
-
-
-
European
-
-
-
-
ALS
-
1
1
Serena Lattante
00246747
-
PubMed: Belzil 2012
-
-
-
Canada
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246748
-
PubMed: Yan 2010
-
-
-
-
European
-
-
-
-
ALS
-
1
1
Serena Lattante
00246749
-
PubMed: Belzil 2011
-
-
-
Canada
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246750
-
PubMed: Kwon 2012
-
-
-
Korea
-
-
-
-
-
ALS
-
1
1
Serena Lattante
00246751
-
PubMed: Zou 2012c
-
-
-
China
-
-
-
-
-
ALS
-
1
1
Serena Lattante
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