Global Variome shared LOVD
MC4R (melanocortin 4 receptor)
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Global Variome, with Curator vacancy
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View MC4R gene homepage
View graphs about the MC4R gene database
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View all transcripts of gene MC4R
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View all variants
View all variants affecting transcripts
View unique variants in gene MC4R
View all variants in gene MC4R
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View all individuals with variants in gene MC4R
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View all diseases associated with gene MC4R
Create a new disease information entry
View available phenotype columns
View all screenings
View all screenings for gene MC4R
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Enable more custom columns
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All screenings for gene MC4R
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.
587 entries on 6 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
0000156115
00155251
DNA
SEQ
-
-
1
Johan den Dunnen
0000156116
00155252
DNA
SEQ
-
-
1
Johan den Dunnen
0000231025
00230516
DNA
?
-
-
1
Linda van den Berg
0000231026
00229932
DNA
SEQ
-
-
2
Linda van den Berg
0000231027
00229933
DNA
SEQ
-
-
1
Linda van den Berg
0000231028
00229934
DNA
?
-
-
31
Linda van den Berg
0000231029
00229935
DNA
?
-
-
1
Linda van den Berg
0000231030
00229936
DNA
?
-
-
1
Linda van den Berg
0000231031
00229937
DNA
?
-
-
1
Linda van den Berg
0000231032
00229938
DNA
SEQ
-
-
1
Linda van den Berg
0000231033
00229939
DNA
?
-
-
1
Linda van den Berg
0000231034
00229940
DNA
?
-
-
1
Linda van den Berg
0000231035
00229941
DNA
SEQ
-
-
1
Linda van den Berg
0000231036
00229942
DNA
?
-
-
1
Linda van den Berg
0000231037
00229943
DNA
?
-
-
1
Linda van den Berg
0000231038
00229944
DNA
?
-
-
1
Linda van den Berg
0000231039
00229945
DNA
?
-
-
1
Linda van den Berg
0000231040
00229946
DNA
?
-
-
1
Linda van den Berg
0000231041
00229947
DNA
SEQ
-
-
1
Linda van den Berg
0000231042
00229948
DNA
?
-
-
1
Linda van den Berg
0000231043
00229949
DNA
?
-
-
1
Linda van den Berg
0000231044
00229950
DNA
SEQ
-
-
1
Linda van den Berg
0000231045
00229951
DNA
?
-
-
1
Linda van den Berg
0000231046
00229952
DNA
?
-
-
1
Linda van den Berg
0000231047
00229953
DNA
?
-
-
1
Linda van den Berg
0000231048
00229954
DNA
?
-
-
1
Linda van den Berg
0000231049
00229955
DNA
?
-
-
1
Linda van den Berg
0000231050
00229956
DNA
SEQ
-
-
1
Linda van den Berg
0000231051
00229957
DNA
?
-
-
1
Linda van den Berg
0000231052
00229958
DNA
?
-
-
1
Linda van den Berg
0000231053
00229959
DNA
?
-
-
1
Linda van den Berg
0000231054
00229960
DNA
?
-
-
1
Linda van den Berg
0000231055
00229961
DNA
SEQ
-
-
1
Linda van den Berg
0000231056
00229962
DNA
SEQ
-
-
1
Linda van den Berg
0000231057
00229963
DNA
SEQ
-
-
1
Linda van den Berg
0000231058
00229964
DNA
?
-
-
1
Linda van den Berg
0000231059
00229965
DNA
?
-
-
1
Linda van den Berg
0000231060
00229966
DNA
?
-
-
1
Linda van den Berg
0000231061
00229967
DNA
?
-
-
1
Linda van den Berg
0000231062
00229968
DNA
SEQ
-
-
1
Linda van den Berg
0000231063
00229969
DNA
?
-
-
1
Linda van den Berg
0000231064
00229970
DNA
SEQ
-
-
1
Linda van den Berg
0000231065
00229971
DNA
?
-
-
1
Linda van den Berg
0000231066
00229972
DNA
?
-
-
1
Linda van den Berg
0000231067
00229973
DNA
SEQ
-
-
1
Linda van den Berg
0000231068
00229974
DNA
?
-
-
1
Linda van den Berg
0000231069
00229975
DNA
SEQ
-
-
1
Linda van den Berg
0000231070
00229976
DNA
?
-
-
1
Linda van den Berg
0000231071
00229977
DNA
?
-
-
1
Linda van den Berg
0000231072
00229978
DNA
?
-
-
1
Linda van den Berg
0000231073
00229979
DNA
?
-
-
1
Linda van den Berg
0000231074
00229980
DNA
?
-
-
1
Linda van den Berg
0000231075
00229981
DNA
?
-
-
1
Linda van den Berg
0000231076
00229982
DNA
SEQ
-
-
1
Linda van den Berg
0000231077
00229983
DNA
?
-
-
1
Linda van den Berg
0000231078
00229984
DNA
?
-
-
1
Linda van den Berg
0000231079
00229985
DNA
?
-
-
1
Linda van den Berg
0000231080
00229986
DNA
?
-
-
1
Linda van den Berg
0000231081
00229987
DNA
SEQ
-
-
1
Linda van den Berg
0000231082
00229988
DNA
SEQ
-
-
1
Linda van den Berg
0000231083
00229989
DNA
?
-
-
1
Linda van den Berg
0000231084
00229990
DNA
?
-
-
1
Linda van den Berg
0000231085
00229991
DNA
?
-
-
1
Linda van den Berg
0000231086
00229992
DNA
?
-
-
1
Linda van den Berg
0000231087
00229993
DNA
?
-
-
1
Linda van den Berg
0000231088
00229994
DNA
?
-
-
1
Linda van den Berg
0000231089
00229995
DNA
?
-
-
1
Linda van den Berg
0000231090
00229996
DNA
?
-
-
1
Linda van den Berg
0000231091
00229997
DNA
?
-
-
1
Linda van den Berg
0000231092
00229998
DNA
?
-
-
1
Linda van den Berg
0000231093
00229999
DNA
?
-
-
1
Linda van den Berg
0000231094
00230000
DNA
?
-
-
1
Linda van den Berg
0000231095
00230001
DNA
?
-
-
1
Linda van den Berg
0000231096
00230002
DNA
?
-
-
1
Linda van den Berg
0000231097
00230003
DNA
?
-
-
1
Linda van den Berg
0000231098
00230004
DNA
?
-
-
1
Linda van den Berg
0000231099
00230005
DNA
?
-
-
1
Linda van den Berg
0000231100
00230006
DNA
?
-
-
1
Linda van den Berg
0000231101
00230007
DNA
?
-
-
1
Linda van den Berg
0000231102
00230008
DNA
?
-
-
1
Linda van den Berg
0000231103
00230009
DNA
?
-
-
1
Linda van den Berg
0000231104
00230010
DNA
?
-
-
1
Linda van den Berg
0000231105
00230011
DNA
?
-
-
1
Linda van den Berg
0000231106
00230012
DNA
?
-
-
1
Linda van den Berg
0000231107
00230013
DNA
?
-
-
1
Linda van den Berg
0000231108
00230014
DNA
?
-
-
1
Linda van den Berg
0000231109
00230015
DNA
?
-
-
1
Linda van den Berg
0000231110
00230016
DNA
?
-
-
1
Linda van den Berg
0000231111
00230017
DNA
?
-
-
1
Linda van den Berg
0000231112
00230018
DNA
?
-
-
1
Linda van den Berg
0000231113
00230019
DNA
?
-
-
1
Linda van den Berg
0000231114
00230020
DNA
?
-
-
1
Linda van den Berg
0000231115
00230021
DNA
?
-
-
1
Linda van den Berg
0000231116
00230022
DNA
?
-
-
1
Linda van den Berg
0000231117
00230023
DNA
?
-
-
1
Linda van den Berg
0000231118
00230024
DNA
?
-
-
1
Linda van den Berg
0000231119
00230025
DNA
?
-
-
1
Linda van den Berg
0000231120
00230026
DNA
?
-
-
1
Linda van den Berg
0000231121
00230027
DNA
?
-
-
1
Linda van den Berg
0000231122
00230028
DNA
?
-
-
1
Linda van den Berg
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