All individuals with variants in gene COL18A1

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.

35 entries on 1 page. Showing entries 1 - 35.

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
00074436	-	-	-	F	no	-	white	-	-	Yes	-	KNO1	-	2	1	Mark Corbett
00103998	Vogelaar-107A	PubMed: Vogelaar 2017, Journal: Vogelaar 2017	54 patients from 53 families with genetically unexplained diffuse-type and intestinal-type gastric cancer	-	-	-	-	-	-	-	-	cancer, gastric	diffuse-type or intestinal-type gastric cancer	1	1	Marjolijn JL Ligtenberg
00293025	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	146	Mohammed Faruq
00293026	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	98	Mohammed Faruq
00293027	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	5	Mohammed Faruq
00293028	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	104	Mohammed Faruq
00293029	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	229	Mohammed Faruq
00299641	FamGC3626Pat2	PubMed: Arno 2017	2-generation family, 1 affeted	M	-	-	-	-	-	-	-	retinal disease	see paper; ..., 29y-photopsia (HP:0030786), slightly reduced acuity (HP:0007663), mild nyctalopia (HP:0000662); irregular pigmented lesions in periphery(HP:0007703), pale discs (HP:0000543), cystoid macular edema (HP:0011505), peripheral telangiectasia (HP:0007763) with some retinal edema (HP:0020120) and vitreous cells (HP:0004327), possible para-arteriolar sparing; 29y-ERG no identifiable responses other than a minimal, delayed response to 30Hz flicker (PERG, EOG and ERG tested), severe photoreceptor dysfunction; 29y-colour vision Ishihara 15/15 each eye; 29y-Goldmann visual fields ring scotoma at 30 degrees, binocular Esterman age 36: central 20 degrees only retained; presenting VA logMAR (Snellen) R 0.48 (20/60), L 0.3 (20/40); latest VA logMAR R 1.8 (20/1250), L 1.5 (20/630); latest refractive error, dioptres R -1.00/-1.00x5, L +0.75/-1.00x90	1	1	Johan den Dunnen
00304878	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	4	Mohammed Faruq
00304879	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	4	Mohammed Faruq
00304880	-	PubMed: Narang 2020, Journal: Narang 2020	analysis 2794 individuals (India)	-	-	India	-	-	-	-	-	?	-	1	8	Mohammed Faruq
00309106	-	PubMed: Sharon 2019	1 IRD family	-	-	Israel	-	-	-	-	-	retinal disease	-	1	1	Global Variome, with Curator vacancy
00327975	G000988	PubMed: Carss 2017	-	F	-	United Kingdom (Great Britain)	Europe	-	-	-	-	retinal disease	-	1	1	LOVD
00328062	G004693	PubMed: Carss 2017	-	F	-	United Kingdom (Great Britain)	Europe	-	-	-	-	retinal disease	-	1	1	LOVD
00328236	G008162	PubMed: Carss 2017	-	M	-	United Kingdom (Great Britain)	Europe	-	-	-	-	retinal disease	-	2	1	LOVD
00328304	W000181	PubMed: Carss 2017	-	M	-	United Kingdom (Great Britain)	Europe	-	-	-	-	retinal disease	-	2	1	LOVD
00380143	14DG2133	PubMed: Patel 2018	-	-	likely	Saudi Arabia	-	-	-	-	-	retinal disease	-	1	1	LOVD
00383421	-	PubMed: Khan 2019	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	LOVD
00383422	-	PubMed: Khan 2019	-	F	-	-	-	-	-	-	-	retinal disease	-	1	1	LOVD
00387645	33	PubMed: Zanolli 2020	individual ID not present in paper, consecutive numbers given	?	-	Chile	-	-	-	-	-	retinal disease	-	2	1	LOVD
00390236	G000988	PubMed: Turro 2020	only individuals with mutations in retinal disease genes from this publication were inserted into LOVD	?	-	(United Kingdom (Great Britain))	-	-	-	-	-	retinal disease	-	1	1	LOVD
00390237	G004693	PubMed: Turro 2020	only individuals with mutations in retinal disease genes from this publication were inserted into LOVD	?	-	(United Kingdom (Great Britain))	-	-	-	-	-	retinal disease	-	1	1	LOVD
00390238	G008162	PubMed: Turro 2020	only individuals with mutations in retinal disease genes from this publication were inserted into LOVD	?	-	(United Kingdom (Great Britain))	-	-	-	-	-	retinal disease	-	2	1	LOVD
00390239	W000181	PubMed: Turro 2020	only individuals with mutations in retinal disease genes from this publication were inserted into LOVD	?	-	-	-	-	-	-	-	retinal disease	-	2	1	LOVD
00447049	CD-1	PubMed: Weisschuh 2024	family, >3 affected	M	-	Germany	-	-	-	-	-	?	-	1	4	Johan den Dunnen
00447206	MISC-296	PubMed: Weisschuh 2024	patient, no family history	M	-	Germany	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00447567	MISC-297	PubMed: Weisschuh 2024	patient, no family history	M	-	Germany	-	-	-	-	-	?	-	2	1	Johan den Dunnen
00447570	MISC-312	PubMed: Weisschuh 2024	family, >3 affected	F	-	Germany	-	-	-	-	-	?	-	2	4	Johan den Dunnen
00447571	MISC-319	PubMed: Weisschuh 2024	patient, no family history	M	-	Germany	-	-	-	-	-	?	-	1	1	Johan den Dunnen
00451560	FamIPatIV3	PubMed: Basharat 2024	4-generation family, 11 affected (4F, 7M)	M	yes	Pakistan	-	-	-	-	-	?	no night vision; perception of light; nystagmus; no corneal haze; no photophobia; mild intellectual disability	1	11	Rabia Basharat
00451561	FamIPatIV4	PubMed: Basharat 2024	relative	M	yes	Pakistan	-	-	-	-	-	?	no night vision; day vision 20/100; normal color vision; nystagmus; no corneal haze; no photophobia; mild intellectual disability	1	1	Rabia Basharat
00451562	FamIPatIV5	PubMed: Basharat 2024	relative	M	yes	Pakistan	-	-	-	-	-	?	no night vision; day vision 20/120; normal color vision; nystagmus; no corneal haze; no photophobia; mild intellectual disability	1	1	Rabia Basharat
00451563	FamIPatIV6	PubMed: Basharat 2024	relative	F	yes	Pakistan	-	-	-	-	-	?	no night vision; day vision 20/120; normal color vision; nystagmus; no corneal haze; no photophobia; mild intellectual disability	1	1	Rabia Basharat
00468446	Pat5	PubMed: Wang 2024	patient, no family history	M	-	China	-	-	-	-	-	CTRCT	cortical cataract, pulverulent cataract; symmetrical opacities; macular hypoplasia, high myopia, cardiac defects, joint hypermobility	2	1	Johan den Dunnen
00469580	TabS5-var6	PubMed: Retterer 2016	2-generation family, unaffected heterozygous carrier parents; analysis proband (1/3040); possible combination of variants not reported	-	-	United States	-	-	-	-	-	?	-	1	1	Johan den Dunnen

Legend

How to query

Global Variome shared LOVD

COL18A1 (collagen, type XVIII, alpha 1)