All individuals with variants in gene SEMA4A

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.

70 entries on 1 page. Showing entries 1 - 70.

Legend

How to query

Individual ID	ID_report	Reference	Remarks	Gender	Consanguinity	Country	Population	Age at death	VIP	Data_av	Treatment	Disease	Phenotype details	Variants	Panel size	Owner
00033091	-	-	-	M	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033093	-	-	-	M	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033097	-	-	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033106	-	-	-	M	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033110	-	-	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033117	-	-	-	M	-	-	-	-	-	-	-	retinal disease	secundary photoreceptor damage due to uveÔtis ODS	1	1	Kornelia Neveling
00033125	-	-	-	F	-	-	-	-	-	-	-	retinal disease	early onset; mild intellectual disability, obesitas	1	1	Kornelia Neveling
00033135	-	-	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033138	-	-	-	M	-	-	-	-	-	-	-	retinal disease	hypertension	2	1	Kornelia Neveling
00033143	-	-	-	F	-	-	-	-	-	-	-	retinal disease	diabetes mellitus, hypertension, hearing loss	1	1	Kornelia Neveling
00033144	-	-	-	M	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033148	-	-	-	M	-	-	-	-	-	-	-	retinal disease	Mantle cell lymphoma	1	1	Kornelia Neveling
00033149	-	-	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033153	-	-	-	M	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033164	-	-	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	Kornelia Neveling
00033367	-	-	-	?	?	Pakistan	-	-	-	-	-	Healthy/Control	-	1	6	Raheel Qamar
00033368	-	-	-	?	?	Pakistan	-	-	-	-	-	Healthy/Control	-	1	11	Raheel Qamar
00033369	-	-	2 generation family 1 affected, 2 unaffected carrier parents	M	no	Pakistan	-	-	-	-	-	CORD	Fundus granularity, macular degeneration and peripheral retinal pigmentation; Onset Progressive loss of visual acuity and colour vision, night blindness, photophobia and epiphora in bright light	2	1	Raheel Qamar
00033370	-	-	-	?	?	Pakistan	-	-	-	-	-	CORD	Fundus granularity, macular degeneration and peripheral retinal pigmentation; Onset Progressive loss of visual acuity and colour vision, night blindness, photophobia and epiphora in bright light	2	1	Raheel Qamar
00033371	-	-	-	?	?	Pakistan	-	-	-	-	-	retinal disease	Bony corpuscle-type pigmentation, attenuated blood vessels; Onset Night blindness	2	1	Raheel Qamar
00033372	-	-	-	?	?	Pakistan	-	-	-	-	-	retinal disease	Bony corpuscle-type pigmentation, attenuated blood vessels; Onset Night blindness	2	1	Raheel Qamar
00033373	-	-	-	?	?	Pakistan	-	-	-	-	-	Healthy/Control	-	1	13	Raheel Qamar
00033374	-	-	-	?	?	Pakistan	-	-	-	-	-	Healthy/Control	-	1	9	Raheel Qamar
00033375	-	-	2 generation family 4 affected, 2 normal	M	no	Pakistan	-	-	-	-	-	retinal disease	Bony corpuscle-type pigmentation, attenuated blood vessels; Onset Night blindness	1	4	Raheel Qamar
00033376	-	-	-	?	?	Pakistan	-	-	-	-	-	retinal disease	Bony corpuscle-type pigmentation, attenuated blood vessels; Onset Night blindness	1	1	Raheel Qamar
00033377	-	-	-	?	?	Pakistan	-	-	-	-	-	retinal disease	Bony corpuscle-type pigmentation, attenuated blood vessels; Onset Night blindness	1	1	Raheel Qamar
00033378	-	-	-	?	?	Pakistan	-	-	-	-	-	?	blindness	1	1	Raheel Qamar
00231982	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	1	Yoshito Koyanagi
00231983	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	1	Yoshito Koyanagi
00231984	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	6	Yoshito Koyanagi
00231985	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	4	Yoshito Koyanagi
00231986	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	2	Yoshito Koyanagi
00231987	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1203 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	147	Yoshito Koyanagi
00231988	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1202 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	1	Yoshito Koyanagi
00231989	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1202 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	6	Yoshito Koyanagi
00231990	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	1	Yoshito Koyanagi
00231991	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1204 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	1	Yoshito Koyanagi
00233602	-	PubMed: Koyanagi 2019, Journal: Koyanagi 2019	analysis 1203 retinitis pigmentosa cases	-	-	Japan	-	-	-	-	-	retinal disease	-	1	8	Yoshito Koyanagi
00276092	-	-	-	?	no	Spain	European Non-Finish	?	-	-	-	HNPCC (Lynch)	-	1	1	Mariona Terradas
00276094	-	-	-	?	-	Spain	European Non-Finish	-	-	-	-	HNPCC (Lynch)	-	1	1	Mariona Terradas
00289541	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	23	Mohammed Faruq
00289542	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	170	Mohammed Faruq
00304147	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	3	Mohammed Faruq
00308379	CIC05563	PubMed: Boulanger-Scemama 2015, PubMed: Boulanger-Scemama 2019	-	-	-	France	-	-	-	-	-	retinal disease	-	1	1	Global Variome, with Curator vacancy
00308380	CIC07563	PubMed: Boulanger-Scemama 2015, PubMed: Boulanger-Scemama 2019	-	-	-	France	-	-	-	-	-	retinal disease	-	1	1	Global Variome, with Curator vacancy
00328419	690899	PubMed: Zhou 2018	-	-	-	China	-	-	-	-	-	retinal disease	-	1	1	LOVD
00332050	Pat188	PubMed: Birtel 2018	patient	F	-	Germany	-	-	-	-	-	retinal disease	reduced visual acuity; EOG borderline; scotopic ERG normalreduced; photopic ERG borderline	1	1	LOVD
00333355	Pat15	PubMed: Costa 2017	-	M	-	Brazil	-	-	-	-	-	retinal disease	see paper; ...	1	1	LOVD
00372645	RP289	PubMed: Xu 2014	patient	F	-	China	-	-	-	-	-	retinal disease	see paper; ...	1	1	LOVD
00372694	RP301	PubMed: Xu 2014	-	-	-	China	-	-	-	-	-	retinal disease	see paper; ...	1	1	LOVD
00372702	QT367	PubMed: Xu 2014	-	-	-	China	-	-	-	-	-	retinal disease	see paper; ...	1	1	LOVD
00375421	RP#013	PubMed: Katagiri 2014	family	-	-	Japan	-	-	-	-	-	retinal disease	see paper; ...	1	1	LOVD
00376785	52	PubMed: Wang 2014	-	M	-	United States	-	-	-	-	-	retinal disease	-	1	1	LOVD
00379431	-	PubMed: Zhou 2011	-	-	-	China	-	-	-	-	-	retinal disease	-	1	1	LOVD
00379700	R0012	PubMed: Wan 2018	-	?	-	China	Han Chinese	-	-	-	-	retinal disease	-	1	1	LOVD
00379706	R0019	PubMed: Wan 2018	-	?	-	China	Han Chinese	-	-	-	-	retinal disease	-	1	1	LOVD
00381642	-	PubMed: Eisenberger-2013	-	F	?	Turkey	-	-	-	-	-	retinal disease	-	1	1	LOVD
00381817	-	PubMed: Wang-2014	-	-	-	-	-	-	-	-	-	retinal disease	-	1	1	LOVD
00386182	RPN-296	PubMed: Rodriguez-Munoz 2020	family fRPN-139, proband	M	-	Spain	-	-	-	-	-	retinal disease	-	1	1	LOVD
00386296	RPN-60	PubMed: Rodriguez-Munoz 2020	family fRPN-GB, proband	F	-	Spain	-	-	-	-	-	retinal disease	-	1	1	LOVD
00389160	444	PubMed: Weisschuh 2020	Filing key number: 142, unclassified / mixed, no patient Ids, consecutive numbers given	M	-	Germany	-	-	-	-	-	retinal disease	age at genetic diagnosis mentioned	1	1	LOVD
00389498	782	PubMed: Weisschuh 2020	Filing key number: 303, autosomal dominant retinitis pigmentosa, no patient Ids, consecutive numbers given	F	-	Germany	-	-	-	-	-	retinal disease	age at genetic diagnosis mentioned	1	1	LOVD
00389499	783	PubMed: Weisschuh 2020	Filing key number: 303, autosomal dominant retinitis pigmentosa, no patient Ids, consecutive numbers given	M	-	Germany	-	-	-	-	-	retinal disease	age at genetic diagnosis mentioned	1	1	LOVD
00389517	801	PubMed: Weisschuh 2020	Filing key number: 318, autosomal dominant retinitis pigmentosa, no patient Ids, consecutive numbers given	M	-	Germany	-	-	-	-	-	retinal disease	age at genetic diagnosis mentioned	1	1	LOVD
00389620	904	PubMed: Weisschuh 2020	Filing key number: 381, sporadic retinitis pigmentosa, no patient Ids, consecutive numbers given	F	-	Germany	-	-	-	-	-	retinal disease	age at genetic diagnosis mentioned	1	1	LOVD
00403260	Patient 1	PubMed: Men-2017	-	M	-	(United States)	-	-	-	-	-	retinal disease	nystagmus, normal visual attention, and a normal fundus exam. ERG responses were severely decreased	1	1	LOVD
00446997	ARRP-450	PubMed: Weisschuh 2024	patient, no family history	F	-	Germany	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00447376	STGD-427	PubMed: Weisschuh 2024	patient, no family history	F	-	Germany	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00447494	ARRP-186	PubMed: Weisschuh 2024	family, 2 affected	F	-	Germany	-	-	-	-	-	?	-	1	2	Johan den Dunnen
00447535	CRD-783	PubMed: Weisschuh 2024	patient, no family history	M	-	Germany	-	-	-	-	-	?	-	2	1	Johan den Dunnen

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Global Variome shared LOVD

SEMA4A (sema domain, immunoglobulin domain (Ig), tr...)