Global Variome shared LOVD
CFTR (cystic fibrosis transmembrane conductance reg...)
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Curator:
Global Variome, with Curator vacancy
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View all transcripts of gene CFTR
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View all variants affecting transcripts
View unique variants in gene CFTR
View all variants in gene CFTR
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View all individuals with variants in gene CFTR
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View all diseases associated with gene CFTR
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All screenings for gene CFTR
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.
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.
625 entries on 7 pages. Showing entries 1 - 100.
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How to query
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Screening ID
Individual ID
Template
Technique
Tissue
Remarks
Variants found
Owner
0000000005
00000005
DNA
SEQ-NG
-
-
12
Global Variome, with Curator vacancy
0000000008
00000008
DNA
SEQ-NG
-
-
13
Global Variome, with Curator vacancy
0000000009
00000009
DNA
SEQ-NG
-
-
18
Global Variome, with Curator vacancy
0000000011
00000011
DNA
SEQ-NG
-
-
11
Global Variome, with Curator vacancy
0000000014
00000014
DNA
SEQ-NG
-
-
22
Global Variome, with Curator vacancy
0000000016
00000016
DNA
SEQ-NG
-
-
10
Global Variome, with Curator vacancy
0000000025
00000025
DNA
SEQ-NG
-
-
14
Global Variome, with Curator vacancy
0000000027
00000027
DNA
SEQ-NG
-
-
13
Global Variome, with Curator vacancy
0000000035
00000035
DNA
SEQ-NG
-
-
17
Global Variome, with Curator vacancy
0000000038
00000038
DNA
SEQ-NG
-
-
9
Global Variome, with Curator vacancy
0000000046
00000046
DNA
SEQ-NG
-
-
14
Global Variome, with Curator vacancy
0000000058
00000058
DNA
SEQ-NG
-
-
18
Global Variome, with Curator vacancy
0000000060
00000060
DNA
SEQ-NG
-
-
9
Global Variome, with Curator vacancy
0000000065
00000065
DNA
SEQ-NG
-
-
9
Global Variome, with Curator vacancy
0000000070
00000070
DNA
SEQ-NG
-
-
10
Global Variome, with Curator vacancy
0000000074
00000074
DNA
SEQ-NG
-
-
9
Global Variome, with Curator vacancy
0000000078
00000078
DNA
SEQ-NG
-
-
12
Global Variome, with Curator vacancy
0000000088
00000088
DNA
SEQ-NG
-
-
14
Global Variome, with Curator vacancy
0000000089
00000089
DNA
SEQ-NG
-
-
9
Global Variome, with Curator vacancy
0000000095
00000095
DNA
SEQ-NG
-
-
7
Global Variome, with Curator vacancy
0000000100
00000100
DNA
SEQ-NG
-
-
12
Global Variome, with Curator vacancy
0000000994
00001226
DNA
SEQ
-
-
435
Johan den Dunnen
0000035235
00035165
DNA
SEQ
-
-
1
Andreas Laner
0000035236
00035166
DNA
SEQ
-
-
1
Andreas Laner
0000035237
00035167
DNA
SEQ
-
-
1
Andreas Laner
0000035238
00035168
DNA
SEQ
-
-
1
Andreas Laner
0000035239
00035169
DNA
SEQ
-
-
1
Andreas Laner
0000035240
00035170
DNA
SEQ
-
-
1
Andreas Laner
0000035241
00035171
DNA
SEQ
-
-
1
Andreas Laner
0000035242
00035172
DNA
SEQ
-
-
1
Andreas Laner
0000035243
00035173
DNA
SEQ
-
-
1
Andreas Laner
0000035244
00035174
DNA
SEQ
-
-
1
Andreas Laner
0000035245
00035175
DNA
SEQ
-
-
1
Andreas Laner
0000035246
00035176
DNA
SEQ
-
-
1
Andreas Laner
0000035247
00035177
DNA
SEQ
-
-
1
Andreas Laner
0000035248
00035178
DNA
SEQ
-
-
1
Andreas Laner
0000035249
00035179
DNA
SEQ
-
-
1
Andreas Laner
0000035250
00035180
DNA
SEQ
-
-
1
Andreas Laner
0000035251
00035181
DNA
SEQ
-
-
1
Andreas Laner
0000035252
00035182
DNA
SEQ
-
-
1
Andreas Laner
0000035253
00035183
DNA
SEQ
-
-
1
Andreas Laner
0000035254
00035184
DNA
SEQ
-
-
1
Andreas Laner
0000035255
00035185
DNA
SEQ
-
-
1
Andreas Laner
0000035256
00035186
DNA
SEQ
-
-
1
Andreas Laner
0000035257
00035187
DNA
SEQ
-
-
1
Andreas Laner
0000035258
00035188
DNA
SEQ
-
-
1
Andreas Laner
0000035259
00035189
DNA
SEQ
-
-
1
Andreas Laner
0000035260
00035190
DNA
SEQ
-
-
1
Andreas Laner
0000035261
00035191
DNA
SEQ
-
-
1
Andreas Laner
0000133493
00132653
DNA
SEQ-NG-I
-
-
1
Sumaira Kanwal
0000133645
00132811
DNA
SEQ
-
-
2
Johan den Dunnen
0000133646
00132812
DNA
SEQ
-
-
2
Johan den Dunnen
0000133647
00132813
DNA
SEQ
-
-
2
Johan den Dunnen
0000165518
00164654
DNA
SEQ-NG-IT
Blood
Target sequencing
1
Zobkova Gaukhar Yurevna
0000165521
00164653
DNA
SEQ-NG-IT
Blood
Target sequencing
1
Zobkova Gaukhar Yurevna
0000165522
00164657
DNA
SEQ-NG-IT
Blood
Target sequencing
1
Zobkova Gaukhar Yurevna
0000165524
00164659
DNA
SEQ-NG-IT
Blood
Target sequencing
1
Zobkova Gaukhar Yurevna
0000275481
00271321
DNA
SEQ
-
-
1
Jasmine Chen
0000297984
00296871
DNA
PCRm
-
-
2
Erina Sasaki
0000297986
00296876
protein
PCRm
-
-
1
Erina Sasaki
0000297987
00296877
DNA
PCRm
-
-
1
Erina Sasaki
0000297988
00296878
DNA
PCRm
-
-
2
Erina Sasaki
0000300567
00299457
DNA
SEQ
-
-
1
Erina Sasaki
0000300568
00299458
DNA
SEQ
-
-
1
Erina Sasaki
0000300569
00299459
DNA
SEQ
-
-
1
Erina Sasaki
0000300570
00299460
DNA
SEQ
-
-
1
Erina Sasaki
0000300571
00299461
DNA
SEQ
-
-
1
Erina Sasaki
0000300572
00299462
DNA
SEQ
-
-
1
Erina Sasaki
0000300573
00299463
DNA
SEQ
-
-
1
Erina Sasaki
0000300574
00299464
DNA
SEQ
-
-
1
Erina Sasaki
0000300575
00299465
DNA
SEQ
-
-
1
Erina Sasaki
0000300576
00299466
DNA
SEQ
-
-
1
Erina Sasaki
0000300577
00299467
DNA
SEQ
-
-
1
Erina Sasaki
0000300578
00299468
DNA
SEQ
-
-
1
Erina Sasaki
0000300579
00299469
DNA
SEQ
-
-
1
Erina Sasaki
0000300580
00299470
DNA
SEQ
-
-
1
Erina Sasaki
0000300581
00299471
DNA
SEQ
-
-
1
Erina Sasaki
0000300582
00299472
DNA
SEQ
-
-
1
Erina Sasaki
0000300583
00299473
DNA
SEQ
-
-
1
Erina Sasaki
0000300584
00299474
DNA
SEQ
-
-
1
Erina Sasaki
0000300585
00299475
DNA
SEQ
-
-
1
Erina Sasaki
0000300586
00299476
DNA
SEQ
-
-
1
Erina Sasaki
0000300587
00299477
DNA
SEQ
-
-
1
Erina Sasaki
0000300588
00299478
DNA
SEQ
-
-
1
Erina Sasaki
0000300589
00299479
DNA
SEQ
-
-
1
Erina Sasaki
0000300590
00299480
DNA
SEQ
-
-
1
Erina Sasaki
0000300591
00299481
DNA
SEQ
-
-
1
Erina Sasaki
0000300592
00299482
DNA
SEQ
-
-
1
Erina Sasaki
0000300593
00299483
DNA
SEQ
-
-
1
Erina Sasaki
0000300594
00299484
DNA
SEQ
-
-
1
Erina Sasaki
0000300595
00299485
DNA
SEQ
-
-
1
Erina Sasaki
0000300596
00299486
DNA
SEQ
-
-
1
Erina Sasaki
0000300597
00299487
DNA
SEQ
-
-
1
Erina Sasaki
0000300598
00299488
DNA
SEQ
-
-
1
Erina Sasaki
0000300599
00299489
DNA
SEQ
-
-
1
Erina Sasaki
0000300600
00299490
DNA
SEQ
-
-
1
Erina Sasaki
0000300601
00299491
DNA
SEQ
-
-
1
Erina Sasaki
0000300602
00299492
DNA
SEQ
-
-
1
Erina Sasaki
0000300603
00299493
DNA
SEQ
-
-
1
Erina Sasaki
0000300604
00299494
DNA
SEQ
-
-
1
Erina Sasaki
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