Global Variome shared LOVD
BEST1 (bestrophin 1)
LOVD v.3.0 Build 30b [
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Curators:
Heidi L. Schulz
and
Claire-Marie Dhaenens
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View all transcripts of gene BEST1
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View all variants affecting transcripts
View unique variants in gene BEST1
View all variants in gene BEST1
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View all individuals with variants in gene BEST1
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View all diseases associated with gene BEST1
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View all screenings for gene BEST1
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All screenings for gene BEST1
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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.
Template
: Template(s) used to detect the sequence variant; DNA (genomic DNA), RNA (cDNA) or protein
All options:
DNA
RNA = RNA (cDNA)
protein
? = unknown
Technique
: technique(s) used to identify the sequence variant.
All options:
? = unknown
ARMS = amplification refractory mutation system
arrayCGH = array for Comparative Genomic Hybridisation
arrayMET = array for methylation analysis
arraySEQ = array for resequencing
arraySNP = array for SNP typing
arrayCNV = array for Copy Number Variation (SNP and CNV probes)
ASO = allele-specific oligo hybridisation
BESS = Base Excision Sequence Scanning
CMC = Chemical Mismatch Cleavage
COBRA = Combined Bisulfite Restriction Analysis
CSCE = Conformation Sensitive Capillary Electrophoresis
CSGE = Conformation Sensitive Gel Electrophoresis
ddF = dideoxy Fingerprinting
DGGE = Denaturing-Gradient Gel-Electrophoresis
DHPLC = Denaturing High-Performance Liquid Chromatography
DOVAM = Detection Of Virtually All Mutations (SSCA variant)
DSCA = Double-Strand DNA Conformation Analysis
DSDI = Detection Small Deletions and Insertions
EMC = Enzymatic Mismatch Cleavage
expr = expression analysis
FISH = Fluorescent In-Situ Hybridisation
FISHf = fiberFISH
HD = HeteroDuplex analysis
HPLC = High-Performance Liquid Chromatography
IEF = IsoElectric Focussing
IHC = Immuno-Histo-Chemistry
Invader = Invader assay
MAPH = Multiplex Amplifiable Probe Hybridisation
MAQ = Multiplex Amplicon Quantification
MCA = Melting Curve Analysis, high-resolution (HRMA)
microscope = microscopic analysis (karyotype)
microsat = microsatellite genotyping
minigene = expression minigene construct
MIP = Molecular Inversion Probe amplification
MIPsm = single molecule Molecular Inversion Probe amplification
MLPA = Multiplex Ligation-dependent Probe Amplification
MLPA-ms = Multiplex Ligation-dependent Probe Amplification, methylation specific
MS = mass spectrometry
Northern = Northern blotting
NUC = nuclease digestion (RNAseT1, S1)
OM = optical mapping
PAGE = Poly-Acrylamide Gel-Electrophoresis
PCR = Polymerase Chain Reaction
PCRdd = PCR, digital droplet
PCRdig = PCR + restriction enzyme digestion
PCRh = PCR, haloplex
PCRlr = PCR, long-range
PCRm = PCR, multiplex
PCRms = PCR, methylation sensitive
PCRq = PCR, quantitative (qPCR)
PCRrp = PCR, repeat-primed (RP-PCR)
PCRsqd = PCR, semi-quantitative duplex
PE = primer extension (APEX, SNaPshot)
PEms = primer extension, methylation-sensitive single-nucleotide
PFGE = Pulsed-Field Gel-Electrophoresis (+Southern)
PTT = Protein Truncation Test
RFLP = Restriction Fragment Length Polymorphisms
RT-PCR = Reverse Transcription and PCR
RT-PCRq = Reverse Transcription and PCR, quantitative
SBE = Single Base Extension
SEQ = SEQuencing (Sanger)
SEQb = bisulfite SEQuencing
SEQp = pyroSequencing
SEQms = sequencing, methylation specific
SEQ-ON = next-generation sequencing - Oxford Nanopore
SEQ-NG = next-generation sequencing
SEQ-NG-RNA = next-generation sequencing RNA
SEQ-NG-H = next-generation sequencing - Helicos
SEQ-NG-I = next-generation sequencing - Illumina/Solexa
SEQ-NG-IT = next-generation sequencing - Ion Torrent
SEQ-NG-R = next-generation sequencing - Roche/454
SEQ-NG-S = next-generation sequencing - SOLiD
SEQ-PB = next-generation sequencing - Pacific Biosciences
SNPlex = SNPlex
Southern = Southern blotting
SSCA = Single-Strand DNA Conformation polymorphism Analysis (SSCP)
SSCAf = fluorescent SSCA (SSCP)
STR = Short Tandem Repeat
TaqMan = TaqMan assay
Western = Western blotting
- = not applicable
Tissue
: tissue type used for analysis
Remarks
: remarks regarding the screening like WGS (whole genome sequencing), WES (whole exome sequencing, gene panel (incl. a list of genes analysed), etc.
How to query this table
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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.
1674 entries on 17 pages. Showing entries 1 - 100.
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Screening ID
Individual ID
Template
Technique
Tissue
Remarks
Variants found
Owner
0000000102
00000102
DNA
SEQ-NG
-
-
18
Global Variome, with Curator vacancy
0000033230
00033162
DNA
SEQ;SEQ-NG-S
-
-
2
Kornelia Neveling
0000033238
00033170
DNA
SEQ;SEQ-NG-S
-
-
6
Kornelia Neveling
0000156256
00155391
DNA
SEQ
-
-
1
Dror Sharon
0000156257
00155392
DNA
SEQ
-
-
1
Dror Sharon
0000234301
00233202
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234302
00233203
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234303
00233204
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234304
00233205
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234305
00233206
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234306
00233207
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234307
00233208
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234308
00233209
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000234872
00233773
DNA
SEQ-NG
-
-
1
Yoshito Koyanagi
0000307042
00305912
DNA
SEQ;SEQ-NG
-
-
11
Johan den Dunnen
0000309561
00308417
DNA
SEQ;SEQ-NG
-
123 gene panel
1
Global Variome, with Curator vacancy
0000309626
00308481
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309627
00308482
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309628
00308483
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309629
00308484
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309630
00308485
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309631
00308486
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309632
00308487
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309746
00308601
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309747
00308602
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309778
00308633
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000309819
00308674
DNA
SEQ;SEQ-NG
-
204 gene panel
1
Global Variome, with Curator vacancy
0000309880
00308735
DNA
SEQ;SEQ-NG
-
105 WGS/200 WES
1
Global Variome, with Curator vacancy
0000310117
00308972
DNA
SEQ
-
-
2
Global Variome, with Curator vacancy
0000310118
00308973
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310119
00308974
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310120
00308975
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310121
00308976
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310122
00308977
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310123
00308978
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310124
00308979
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310125
00308980
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310126
00308981
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310127
00308982
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310128
00308983
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310129
00308984
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000310130
00308985
DNA
SEQ
-
-
1
Global Variome, with Curator vacancy
0000326663
00325452
DNA
SEQ;SEQ-NG
-
199 gene panel
1
Johan den Dunnen
0000329406
00328191
DNA
SEQ-NG
-
WGS
1
LOVD
0000329468
00328253
DNA
SEQ-NG
-
WGS
1
LOVD
0000329641
00328427
DNA
SEQ-NG
-
WES
1
LOVD
0000329642
00328428
DNA
SEQ-NG
-
WES
1
LOVD
0000329643
00328429
DNA
SEQ-NG
-
WES
1
LOVD
0000333182
00331963
DNA
SEQ
-
-
1
LOVD
0000333183
00331964
DNA
SEQ
-
-
1
LOVD
0000333184
00331965
DNA
SEQ
-
-
1
LOVD
0000333185
00331966
DNA
SEQ
-
-
2
LOVD
0000333186
00331967
DNA
SEQ
-
-
2
LOVD
0000333233
00332014
DNA
SEQ
-
-
1
LOVD
0000333234
00332015
DNA
SEQ
-
-
1
LOVD
0000333235
00332016
DNA
SEQ
-
-
1
LOVD
0000333236
00332017
DNA
SEQ
-
-
1
LOVD
0000333237
00332018
DNA
SEQ
-
-
1
LOVD
0000333238
00332019
DNA
SEQ
-
-
1
LOVD
0000333239
00332020
DNA
SEQ
-
-
1
LOVD
0000333240
00332021
DNA
SEQ
-
-
1
LOVD
0000333241
00332022
DNA
SEQ
-
-
1
LOVD
0000333242
00332023
DNA
SEQ
-
-
1
LOVD
0000333243
00332024
DNA
SEQ
-
-
1
LOVD
0000333244
00332025
DNA
SEQ
-
-
1
LOVD
0000333245
00332026
DNA
SEQ
-
-
1
LOVD
0000333246
00332027
DNA
SEQ
-
-
1
LOVD
0000333728
00332504
DNA
SEQ-NG
-
-
2
LOVD
0000334908
00333682
DNA
SEQ-NG
-
-
1
LOVD
0000334909
00333683
DNA
SEQ-NG
-
-
1
LOVD
0000334910
00333684
DNA
SEQ-NG
-
-
1
LOVD
0000334911
00333685
DNA
SEQ-NG
-
-
1
LOVD
0000334912
00333686
DNA
SEQ-NG
-
-
1
LOVD
0000334913
00333687
DNA
SEQ-NG
-
-
1
LOVD
0000334914
00333688
DNA
SEQ-NG
-
-
1
LOVD
0000334915
00333689
DNA
SEQ-NG
-
-
1
LOVD
0000334916
00333690
DNA
SEQ-NG
-
-
1
LOVD
0000334917
00333691
DNA
SEQ-NG
-
-
1
LOVD
0000334918
00333692
DNA
SEQ-NG
-
-
1
LOVD
0000334919
00333693
DNA
SEQ-NG
-
-
1
LOVD
0000334920
00333694
DNA
SEQ-NG
-
-
1
LOVD
0000334921
00333695
DNA
SEQ-NG
-
-
1
LOVD
0000334922
00333696
DNA
SEQ-NG
-
-
1
LOVD
0000334923
00333697
DNA
SEQ-NG
-
-
1
LOVD
0000334924
00333698
DNA
SEQ-NG
-
-
1
LOVD
0000334925
00333699
DNA
SEQ-NG
-
-
1
LOVD
0000335337
00334111
DNA
SEQ-NG
-
-
2
LOVD
0000335489
00334263
DNA
SEQ-NG
-
-
2
LOVD
0000335490
00334264
DNA
SEQ-NG
-
-
2
LOVD
0000335491
00334265
DNA
SEQ-NG
-
-
2
LOVD
0000335492
00334266
DNA
SEQ-NG
-
-
2
LOVD
0000335493
00334267
DNA
SEQ-NG
-
-
1
LOVD
0000335494
00334268
DNA
SEQ-NG
-
-
2
LOVD
0000335639
00334410
DNA
SEQ-NG
-
WES
1
LOVD
0000335799
00334570
DNA
SEQ-NG
-
105-gene panel
2
LOVD
0000336318
00335089
DNA
SEQ-NG
-
gene panel
1
LOVD
0000336319
00335090
DNA
SEQ-NG
-
gene panel
1
LOVD
0000336461
00335232
DNA
SEQ-NG
-
212-gene panel
1
LOVD
0000336656
00335427
DNA
SEQ-NG
-
283-gene panel
1
LOVD
0000336675
00335446
DNA
SEQ-NG
-
gene panel
1
Johan den Dunnen
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