Global Variome shared LOVD
CDKN1C (cyclin-dependent kinase inhibitor 1C (p57,...))
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Curator:
Eamonn Maher
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All screenings for gene CDKN1C
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
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.
66 entries on 1 page. Showing entries 1 - 66.
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Legend
How to query
Screening ID
Individual ID
Template
Technique
Tissue
Remarks
Variants found
Owner
0000016372
00016430
DNA
SEQ
?
-
1
Eamonn Maher
0000016375
00016433
DNA
SEQ
?
-
1
Eamonn Maher
0000016376
00016434
DNA
SEQ
?
-
1
Eamonn Maher
0000016377
00016435
DNA
SEQ
?
-
1
Eamonn Maher
0000016378
00016436
DNA
SEQ
?
-
1
Eamonn Maher
0000016379
00016437
DNA
SEQ
?
-
1
Eamonn Maher
0000016380
00016438
DNA
SEQ
?
-
1
Eamonn Maher
0000016381
00016439
DNA
SEQ
?
-
1
Eamonn Maher
0000016382
00016440
DNA
SEQ
?
-
1
Eamonn Maher
0000016383
00016441
DNA
SEQ
?
-
1
Eamonn Maher
0000016384
00016442
DNA
SEQ
?
-
1
Eamonn Maher
0000016385
00016443
DNA
SEQ
?
-
1
Eamonn Maher
0000016386
00016444
DNA
SEQ
?
-
1
Eamonn Maher
0000016387
00016445
DNA
SEQ
?
-
1
Eamonn Maher
0000016388
00016446
DNA
SEQ
?
-
1
Eamonn Maher
0000016389
00016447
DNA
SEQ
?
-
1
Eamonn Maher
0000016390
00016448
DNA
SEQ
?
-
1
Eamonn Maher
0000016391
00016449
DNA
SEQ
?
-
1
Eamonn Maher
0000016392
00016450
DNA
SEQ
?
-
1
Eamonn Maher
0000016393
00016451
DNA
SEQ
?
-
1
Eamonn Maher
0000016394
00016452
DNA
SEQ
?
-
1
Eamonn Maher
0000016395
00016453
DNA
SEQ
?
-
1
Eamonn Maher
0000016396
00016454
DNA
SEQ
?
-
1
Eamonn Maher
0000016397
00016455
DNA
SEQ
?
-
1
Eamonn Maher
0000016398
00016456
DNA
SEQ
?
-
1
Eamonn Maher
0000016399
00016457
DNA
SEQ
?
-
1
Eamonn Maher
0000016400
00016458
DNA
SEQ
?
-
1
Eamonn Maher
0000016401
00016459
DNA
SEQ
?
-
1
Eamonn Maher
0000016402
00016460
DNA
SEQ
?
-
1
Eamonn Maher
0000016403
00016461
DNA
SEQ
?
-
1
Eamonn Maher
0000016404
00016462
DNA
SEQ
?
-
1
Eamonn Maher
0000016405
00016463
DNA
SEQ
?
-
1
Eamonn Maher
0000016406
00016464
DNA
SEQ
?
-
1
Eamonn Maher
0000016407
00016465
DNA
SEQ
?
-
1
Eamonn Maher
0000016408
00016466
DNA
SEQ
?
-
1
Eamonn Maher
0000016409
00016467
DNA
SEQ
?
-
1
Eamonn Maher
0000016410
00016468
DNA
SEQ
?
-
1
Eamonn Maher
0000016411
00016469
DNA
SEQ
?
-
1
Eamonn Maher
0000016412
00016470
DNA
SEQ
?
-
1
Eamonn Maher
0000016413
00016471
DNA
SEQ
?
-
1
Eamonn Maher
0000016414
00016472
DNA
SEQ
?
-
1
Eamonn Maher
0000016415
00016473
DNA
SEQ
blood
-
1
Johan den Dunnen
0000016416
00016474
DNA;RNA
RT-PCR;SEQ
-
-
3
Johan den Dunnen
0000016417
00016475
DNA
PAGE;PCR;SSCA
-
-
1
Johan den Dunnen
0000016418
00016476
DNA
SEQ;SSCA
-
-
1
Johan den Dunnen
0000016419
00016477
DNA
SEQ;SSCA
-
-
1
Johan den Dunnen
0000016420
00016478
DNA
SEQ;SSCA
-
-
1
Johan den Dunnen
0000017581
00017598
DNA
SEQ;SEQ-NG-I
-
-
3
Johan den Dunnen
0000029813
00029770
DNA
SEQ
-
-
1
Silvia Russo
0000029890
00029837
DNA
SEQ
-
-
1
Silvia Russo
0000029892
00029838
DNA
SEQ
-
-
1
Silvia Russo
0000029894
00029840
DNA
SEQ
-
-
1
Silvia Russo
0000032451
00032383
DNA
SEQ
-
-
1
Silvia Russo
0000032452
00032384
DNA
SEQ
-
-
1
Silvia Russo
0000032453
00032385
DNA
SEQ
-
-
1
Silvia Russo
0000032454
00032386
DNA
SEQ
-
-
1
Silvia Russo
0000032455
00032387
DNA
SEQ
-
-
1
Silvia Russo
0000032463
00032395
DNA
SEQ
-
-
1
Silvia Russo
0000032464
00032396
DNA
SEQ
-
-
1
Silvia Russo
0000035233
00035163
DNA
SEQ
-
-
1
Andreas Laner
0000035234
00035164
DNA
SEQ
-
-
1
Andreas Laner
0000117664
00117203
DNA
SEQ
-
-
1
Zeynep Tümer
0000117665
00117204
DNA
SEQ
-
-
1
Zeynep Tümer
0000117666
00117205
DNA
SEQ
-
-
1
Zeynep Tümer
0000317322
00316140
DNA
SEQ;SEQ-NG
-
330-gene panel
1
Johan den Dunnen
0000400970
00399727
DNA;RNA
RT-PCR;SEQ
-
-
1
Johan den Dunnen
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