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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

All alleles are reported in the Forward orientation. Click on the Variant Details tab for details on Genomic Placement, Gene, and Amino Acid changes. HGVS names are in the HGVS tab.

Reference SNP (rs) Report

This page reports data for a single dbSNP Reference SNP variation (RefSNP or rs) from the new redesigned dbSNP build.
Top of the page reports a concise summary for the rs, with more specific details included in the corresponding tabs below.
All alleles are reported in the Forward orientation. Use the Genomic View to inspect the nucleotides flanking the variant, and its neighbors.
For more information see Help documentation.

rs7214723

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr17:3872554 (GRCh38.p14) Help

The anchor position for this RefSNP. Includes all nucleotides potentially affected by this change, thus it can differ from HGVS, which is right-shifted. See here for details.

Alleles
T>C
Variation Type
SNV Single Nucleotide Variation
Frequency
C=0.438790 (133043/303204, ALFA)
C=0.362926 (96063/264690, TOPMED)
C=0.449155 (112747/251020, GnomAD_exome) (+ 24 more)
C=0.355110 (49714/139996, GnomAD)
C=0.439472 (53242/121150, ExAC)
C=0.34711 (27259/78532, PAGE_STUDY)
T=0.49830 (14081/28258, 14KJPN)
T=0.49356 (8272/16760, 8.3KJPN)
C=0.35307 (4592/13006, GO-ESP)
C=0.3933 (2519/6404, 1000G_30x)
C=0.3954 (1980/5008, 1000G)
C=0.3897 (1746/4480, Estonian)
C=0.4388 (1691/3854, ALSPAC)
C=0.4471 (1658/3708, TWINSUK)
C=0.3884 (1138/2930, KOREAN)
C=0.3392 (639/1884, HapMap)
C=0.4034 (739/1832, Korea1K)
C=0.432 (431/998, GoNL)
C=0.331 (262/792, PRJEB37584)
C=0.407 (249/612, Vietnamese)
C=0.477 (286/600, NorthernSweden)
C=0.491 (262/534, MGP)
T=0.283 (102/360, SGDP_PRJ)
C=0.424 (128/302, FINRISK)
C=0.458 (99/216, Qatari)
T=0.27 (12/44, Siberian)
C=0.35 (14/40, GENOME_DK)
Clinical Significance
Not Reported in ClinVar
Gene : Consequence
CAMKK1 : Missense Variant
Publications
6 citations
Genomic View
See rs on genome

ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.

Release Version: 20230706150541
Population Group Sample Size Ref Allele Alt Allele
Total Global 319596 T=0.565817 C=0.434183
European Sub 269850 T=0.553441 C=0.446559
African Sub 16094 T=0.83453 C=0.16547
African Others Sub 570 T=0.909 C=0.091
African American Sub 15524 T=0.83181 C=0.16819
Asian Sub 3888 T=0.5594 C=0.4406
East Asian Sub 3100 T=0.5961 C=0.4039
Other Asian Sub 788 T=0.415 C=0.585
Latin American 1 Sub 1386 T=0.6212 C=0.3788
Latin American 2 Sub 6624 T=0.4446 C=0.5554
South Asian Sub 364 T=0.385 C=0.615
Other Sub 21390 T=0.55797 C=0.44203


Help

Frequency tab displays a table of the reference and alternate allele frequencies reported by various studies and populations. Table lines, where Population="Global" refer to the entire study population, whereas lines, where Group="Sub", refer to a study-specific population subgroupings (i.e. AFR, CAU, etc.), if available. Frequency for the alternate allele (Alt Allele) is a ratio of samples observed-to-total, where the numerator (observed samples) is the number of chromosomes in the study with the minor allele present (found in "Sample size", where Group="Sub"), and the denominator (total samples) is the total number of all chromosomes in the study for the variant (found in "Sample size", where Group="Study-wide" and Population="Global").

Download
Study Population Group Sample Size Ref Allele Alt Allele
Allele Frequency Aggregator Total Global 303204 T=0.561210 C=0.438790
Allele Frequency Aggregator European Sub 259734 T=0.553177 C=0.446823
Allele Frequency Aggregator Other Sub 19942 T=0.55391 C=0.44609
Allele Frequency Aggregator African Sub 11266 T=0.82682 C=0.17318
Allele Frequency Aggregator Latin American 2 Sub 6624 T=0.4446 C=0.5554
Allele Frequency Aggregator Asian Sub 3888 T=0.5594 C=0.4406
Allele Frequency Aggregator Latin American 1 Sub 1386 T=0.6212 C=0.3788
Allele Frequency Aggregator South Asian Sub 364 T=0.385 C=0.615
TopMed Global Study-wide 264690 T=0.637074 C=0.362926
gnomAD - Exomes Global Study-wide 251020 T=0.550845 C=0.449155
gnomAD - Exomes European Sub 135104 T=0.567259 C=0.432741
gnomAD - Exomes Asian Sub 48982 T=0.48959 C=0.51041
gnomAD - Exomes American Sub 34506 T=0.43317 C=0.56683
gnomAD - Exomes African Sub 16242 T=0.84946 C=0.15054
gnomAD - Exomes Ashkenazi Jewish Sub 10056 T=0.55449 C=0.44551
gnomAD - Exomes Other Sub 6130 T=0.5437 C=0.4563
gnomAD - Genomes Global Study-wide 139996 T=0.644890 C=0.355110
gnomAD - Genomes European Sub 75800 T=0.57047 C=0.42953
gnomAD - Genomes African Sub 41972 T=0.83534 C=0.16466
gnomAD - Genomes American Sub 13638 T=0.50000 C=0.50000
gnomAD - Genomes Ashkenazi Jewish Sub 3316 T=0.5452 C=0.4548
gnomAD - Genomes East Asian Sub 3118 T=0.6514 C=0.3486
gnomAD - Genomes Other Sub 2152 T=0.6138 C=0.3862
ExAC Global Study-wide 121150 T=0.560528 C=0.439472
ExAC Europe Sub 73190 T=0.57006 C=0.42994
ExAC Asian Sub 25132 T=0.47879 C=0.52121
ExAC American Sub 11530 T=0.42203 C=0.57797
ExAC African Sub 10394 T=0.84693 C=0.15307
ExAC Other Sub 904 T=0.534 C=0.466
The PAGE Study Global Study-wide 78532 T=0.65289 C=0.34711
The PAGE Study AfricanAmerican Sub 32444 T=0.82915 C=0.17085
The PAGE Study Mexican Sub 10794 T=0.44478 C=0.55522
The PAGE Study Asian Sub 8312 T=0.5427 C=0.4573
The PAGE Study PuertoRican Sub 7892 T=0.5786 C=0.4214
The PAGE Study NativeHawaiian Sub 4512 T=0.5142 C=0.4858
The PAGE Study Cuban Sub 4224 T=0.5902 C=0.4098
The PAGE Study Dominican Sub 3818 T=0.6915 C=0.3085
The PAGE Study CentralAmerican Sub 2448 T=0.4837 C=0.5163
The PAGE Study SouthAmerican Sub 1980 T=0.4354 C=0.5646
The PAGE Study NativeAmerican Sub 1256 T=0.5318 C=0.4682
The PAGE Study SouthAsian Sub 852 T=0.384 C=0.616
14KJPN JAPANESE Study-wide 28258 T=0.49830 C=0.50170
8.3KJPN JAPANESE Study-wide 16760 T=0.49356 C=0.50644
GO Exome Sequencing Project Global Study-wide 13006 T=0.64693 C=0.35307
GO Exome Sequencing Project European American Sub 8600 T=0.5540 C=0.4460
GO Exome Sequencing Project African American Sub 4406 T=0.8284 C=0.1716
1000Genomes_30x Global Study-wide 6404 T=0.6067 C=0.3933
1000Genomes_30x African Sub 1786 T=0.9026 C=0.0974
1000Genomes_30x Europe Sub 1266 T=0.5411 C=0.4589
1000Genomes_30x South Asian Sub 1202 T=0.3661 C=0.6339
1000Genomes_30x East Asian Sub 1170 T=0.6026 C=0.3974
1000Genomes_30x American Sub 980 T=0.452 C=0.548
1000Genomes Global Study-wide 5008 T=0.6046 C=0.3954
1000Genomes African Sub 1322 T=0.8956 C=0.1044
1000Genomes East Asian Sub 1008 T=0.5972 C=0.4028
1000Genomes Europe Sub 1006 T=0.5567 C=0.4433
1000Genomes South Asian Sub 978 T=0.372 C=0.628
1000Genomes American Sub 694 T=0.458 C=0.542
Genetic variation in the Estonian population Estonian Study-wide 4480 T=0.6103 C=0.3897
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 T=0.5612 C=0.4388
UK 10K study - Twins TWIN COHORT Study-wide 3708 T=0.5529 C=0.4471
KOREAN population from KRGDB KOREAN Study-wide 2930 T=0.6116 C=0.3884
HapMap Global Study-wide 1884 T=0.6608 C=0.3392
HapMap American Sub 768 T=0.527 C=0.473
HapMap African Sub 692 T=0.892 C=0.108
HapMap Asian Sub 252 T=0.484 C=0.516
HapMap Europe Sub 172 T=0.587 C=0.413
Korean Genome Project KOREAN Study-wide 1832 T=0.5966 C=0.4034
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 T=0.568 C=0.432
CNV burdens in cranial meningiomas Global Study-wide 792 T=0.669 C=0.331
CNV burdens in cranial meningiomas CRM Sub 792 T=0.669 C=0.331
A Vietnamese Genetic Variation Database Global Study-wide 612 T=0.593 C=0.407
Northern Sweden ACPOP Study-wide 600 T=0.523 C=0.477
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 T=0.509 C=0.491
SGDP_PRJ Global Study-wide 360 T=0.283 C=0.717
FINRISK Finnish from FINRISK project Study-wide 302 T=0.576 C=0.424
Qatari Global Study-wide 216 T=0.542 C=0.458
Siberian Global Study-wide 44 T=0.27 C=0.73
The Danish reference pan genome Danish Study-wide 40 T=0.65 C=0.35
Help

Variant Details tab shows known variant placements on genomic sequences: chromosomes (NC_), RefSeqGene, pseudogenes or genomic regions (NG_), and in a separate table: on transcripts (NM_) and protein sequences (NP_). The corresponding transcript and protein locations are listed in adjacent lines, along with molecular consequences from Sequence Ontology. When no protein placement is available, only the transcript is listed. Column "Codon[Amino acid]" shows the actual base change in the format of "Reference > Alternate" allele, including the nucleotide codon change in transcripts, and the amino acid change in proteins, respectively, allowing for known ribosomal slippage sites. To view nucleotides adjacent to the variant use the Genomic View at the bottom of the page - zoom into the sequence until the nucleotides around the variant become visible.

Genomic Placements
Sequence name Change
GRCh38.p14 chr 17 NC_000017.11:g.3872554T>C
GRCh37.p13 chr 17 NC_000017.10:g.3775848T>C
Gene: CAMKK1, calcium/calmodulin dependent protein kinase kinase 1 (minus strand)
Molecule type Change Amino acid[Codon] SO Term
CAMKK1 transcript variant 1 NM_032294.3:c.1124A>G E [GAG] > G [GGG] Coding Sequence Variant
calcium/calmodulin-dependent protein kinase kinase 1 isoform a NP_115670.1:p.Glu375Gly E (Glu) > G (Gly) Missense Variant
CAMKK1 transcript variant 2 NM_172206.2:c.1205A>G E [GAG] > G [GGG] Coding Sequence Variant
calcium/calmodulin-dependent protein kinase kinase 1 isoform c NP_757343.2:p.Glu402Gly E (Glu) > G (Gly) Missense Variant
CAMKK1 transcript variant 3 NM_172207.3:c.1238A>G E [GAG] > G [GGG] Coding Sequence Variant
calcium/calmodulin-dependent protein kinase kinase 1 isoform b NP_757344.2:p.Glu413Gly E (Glu) > G (Gly) Missense Variant
Help

Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.

Not Reported in ClinVar
Help

Aliases tab displays HGVS names representing the variant placements and allele changes on genomic, transcript and protein sequences, per allele. HGVS name is an expression for reporting sequence accession and version, sequence type, position, and allele change. The column "Note" can have two values: "diff" means that there is a difference between the reference allele (variation interval) at the placement reported in HGVS name and the reference alleles reported in other HGVS names, and "rev" means that the sequence of this variation interval at the placement reported in HGVS name is in reverse orientation to the sequence(s) of this variation in other HGVS names not labeled as "rev".

Placement T= C
GRCh38.p14 chr 17 NC_000017.11:g.3872554= NC_000017.11:g.3872554T>C
GRCh37.p13 chr 17 NC_000017.10:g.3775848= NC_000017.10:g.3775848T>C
CAMKK1 transcript variant 1 NM_032294.3:c.1124= NM_032294.3:c.1124A>G
CAMKK1 transcript variant 1 NM_032294.2:c.1124= NM_032294.2:c.1124A>G
CAMKK1 transcript variant 3 NM_172207.3:c.1238= NM_172207.3:c.1238A>G
CAMKK1 transcript variant 3 NM_172207.2:c.1238= NM_172207.2:c.1238A>G
CAMKK1 transcript variant 2 NM_172206.2:c.1205= NM_172206.2:c.1205A>G
CAMKK1 transcript variant 2 NM_172206.1:c.1205= NM_172206.1:c.1205A>G
calcium/calmodulin-dependent protein kinase kinase 1 isoform a NP_115670.1:p.Glu375= NP_115670.1:p.Glu375Gly
calcium/calmodulin-dependent protein kinase kinase 1 isoform b NP_757344.2:p.Glu413= NP_757344.2:p.Glu413Gly
calcium/calmodulin-dependent protein kinase kinase 1 isoform c NP_757343.2:p.Glu402= NP_757343.2:p.Glu402Gly
calcium/calmodulin-dependent protein kinase kinase 1 isoform a NP_757343.1:p.Glu375= NP_757343.1:p.Glu375Gly
Help

Submissions tab displays variations originally submitted to dbSNP, now supporting this RefSNP cluster (rs). We display Submitter handle, Submission identifier, Date and Build number, when the submission appeared for the first time. Direct submissions to dbSNP have Submission ID in the form of an ss-prefixed number (ss#). Other supporting variations are listed in the table without ss#.

155 SubSNP, 27 Frequency submissions
No Submitter Submission ID Date (Build)
1 BCM_SSAHASNP ss10860124 Jul 11, 2003 (116)
2 CSHL-HAPMAP ss17588010 Feb 27, 2004 (120)
3 SSAHASNP ss21375403 Apr 05, 2004 (121)
4 PERLEGEN ss24583452 Sep 20, 2004 (123)
5 ABI ss40798955 Mar 13, 2006 (126)
6 CANCER-GENOME ss48533608 Mar 13, 2006 (126)
7 PERLEGEN ss69189580 May 16, 2007 (127)
8 ILLUMINA ss74896422 Dec 07, 2007 (129)
9 HGSV ss81714291 Dec 15, 2007 (130)
10 BCMHGSC_JDW ss90513536 Mar 24, 2008 (129)
11 HUMANGENOME_JCVI ss96575524 Feb 05, 2009 (130)
12 BGI ss103326769 Dec 01, 2009 (131)
13 1000GENOMES ss109602073 Jan 24, 2009 (130)
14 1000GENOMES ss113218272 Jan 25, 2009 (130)
15 ENSEMBL ss132605685 Dec 01, 2009 (131)
16 ENSEMBL ss136907125 Dec 01, 2009 (131)
17 GMI ss157775652 Dec 01, 2009 (131)
18 SEATTLESEQ ss159734141 Dec 01, 2009 (131)
19 ILLUMINA ss160861182 Dec 01, 2009 (131)
20 COMPLETE_GENOMICS ss168922785 Jul 04, 2010 (132)
21 ILLUMINA ss174293744 Jul 04, 2010 (132)
22 BUSHMAN ss202144137 Jul 04, 2010 (132)
23 BCM-HGSC-SUB ss207941308 Jul 04, 2010 (132)
24 1000GENOMES ss237162336 Jul 15, 2010 (132)
25 1000GENOMES ss243476540 Jul 15, 2010 (132)
26 BL ss255446854 May 09, 2011 (134)
27 GMI ss282670674 May 04, 2012 (137)
28 PJP ss291961414 May 09, 2011 (134)
29 NHLBI-ESP ss342440217 May 09, 2011 (134)
30 ILLUMINA ss481508867 May 04, 2012 (137)
31 ILLUMINA ss481537456 May 04, 2012 (137)
32 ILLUMINA ss482512931 Sep 08, 2015 (146)
33 ILLUMINA ss485549480 May 04, 2012 (137)
34 1000GENOMES ss491112735 May 04, 2012 (137)
35 EXOME_CHIP ss491514946 May 04, 2012 (137)
36 CLINSEQ_SNP ss491727046 May 04, 2012 (137)
37 ILLUMINA ss537451443 Sep 08, 2015 (146)
38 TISHKOFF ss565133129 Apr 25, 2013 (138)
39 SSMP ss660919588 Apr 25, 2013 (138)
40 ILLUMINA ss778597018 Sep 08, 2015 (146)
41 ILLUMINA ss780723325 Sep 08, 2015 (146)
42 ILLUMINA ss783220303 Sep 08, 2015 (146)
43 ILLUMINA ss783399216 Sep 08, 2015 (146)
44 ILLUMINA ss784174769 Sep 08, 2015 (146)
45 ILLUMINA ss832480528 Sep 08, 2015 (146)
46 ILLUMINA ss834054273 Sep 08, 2015 (146)
47 JMKIDD_LAB ss974496888 Aug 21, 2014 (142)
48 EVA-GONL ss992867408 Aug 21, 2014 (142)
49 JMKIDD_LAB ss1067566316 Aug 21, 2014 (142)
50 JMKIDD_LAB ss1080892611 Aug 21, 2014 (142)
51 1000GENOMES ss1357695168 Aug 21, 2014 (142)
52 DDI ss1427959985 Apr 01, 2015 (144)
53 EVA_GENOME_DK ss1578065748 Apr 01, 2015 (144)
54 EVA_FINRISK ss1584102965 Apr 01, 2015 (144)
55 EVA_UK10K_ALSPAC ss1635179200 Apr 01, 2015 (144)
56 EVA_UK10K_TWINSUK ss1678173233 Apr 01, 2015 (144)
57 EVA_EXAC ss1692524440 Apr 01, 2015 (144)
58 EVA_DECODE ss1696907548 Apr 01, 2015 (144)
59 EVA_MGP ss1711443904 Apr 01, 2015 (144)
60 EVA_SVP ss1713565909 Apr 01, 2015 (144)
61 ILLUMINA ss1752224017 Sep 08, 2015 (146)
62 ILLUMINA ss1752224018 Sep 08, 2015 (146)
63 HAMMER_LAB ss1808678146 Sep 08, 2015 (146)
64 ILLUMINA ss1917912846 Feb 12, 2016 (147)
65 WEILL_CORNELL_DGM ss1936312949 Feb 12, 2016 (147)
66 ILLUMINA ss1946425638 Feb 12, 2016 (147)
67 ILLUMINA ss1959716161 Feb 12, 2016 (147)
68 GENOMED ss1968340133 Jul 19, 2016 (147)
69 JJLAB ss2028944747 Sep 14, 2016 (149)
70 USC_VALOUEV ss2157389886 Dec 20, 2016 (150)
71 HUMAN_LONGEVITY ss2215082553 Dec 20, 2016 (150)
72 SYSTEMSBIOZJU ss2628963390 Nov 08, 2017 (151)
73 ILLUMINA ss2633367848 Nov 08, 2017 (151)
74 GRF ss2701931109 Nov 08, 2017 (151)
75 GNOMAD ss2742327507 Nov 08, 2017 (151)
76 GNOMAD ss2749654381 Nov 08, 2017 (151)
77 GNOMAD ss2947100160 Nov 08, 2017 (151)
78 AFFY ss2985082381 Nov 08, 2017 (151)
79 SWEGEN ss3015105548 Nov 08, 2017 (151)
80 ILLUMINA ss3021747107 Nov 08, 2017 (151)
81 BIOINF_KMB_FNS_UNIBA ss3028290545 Nov 08, 2017 (151)
82 CSHL ss3351626624 Nov 08, 2017 (151)
83 ILLUMINA ss3627611176 Oct 12, 2018 (152)
84 ILLUMINA ss3627611177 Oct 12, 2018 (152)
85 ILLUMINA ss3631350800 Oct 12, 2018 (152)
86 ILLUMINA ss3633133241 Oct 12, 2018 (152)
87 ILLUMINA ss3633840216 Oct 12, 2018 (152)
88 ILLUMINA ss3634660749 Oct 12, 2018 (152)
89 ILLUMINA ss3634660750 Oct 12, 2018 (152)
90 ILLUMINA ss3635528209 Oct 12, 2018 (152)
91 ILLUMINA ss3636351859 Oct 12, 2018 (152)
92 ILLUMINA ss3637279709 Oct 12, 2018 (152)
93 ILLUMINA ss3638145950 Oct 12, 2018 (152)
94 ILLUMINA ss3640368068 Oct 12, 2018 (152)
95 ILLUMINA ss3640368069 Oct 12, 2018 (152)
96 ILLUMINA ss3643125596 Oct 12, 2018 (152)
97 ILLUMINA ss3644678714 Oct 12, 2018 (152)
98 OMUKHERJEE_ADBS ss3646501931 Oct 12, 2018 (152)
99 URBANLAB ss3650591001 Oct 12, 2018 (152)
100 ILLUMINA ss3652159707 Oct 12, 2018 (152)
101 ILLUMINA ss3653854546 Oct 12, 2018 (152)
102 EGCUT_WGS ss3682073199 Jul 13, 2019 (153)
103 EVA_DECODE ss3699976321 Jul 13, 2019 (153)
104 ILLUMINA ss3725595546 Jul 13, 2019 (153)
105 ACPOP ss3741824491 Jul 13, 2019 (153)
106 ILLUMINA ss3744437809 Jul 13, 2019 (153)
107 ILLUMINA ss3744961102 Jul 13, 2019 (153)
108 ILLUMINA ss3744961103 Jul 13, 2019 (153)
109 EVA ss3754384706 Jul 13, 2019 (153)
110 PAGE_CC ss3771906998 Jul 13, 2019 (153)
111 ILLUMINA ss3772459187 Jul 13, 2019 (153)
112 ILLUMINA ss3772459188 Jul 13, 2019 (153)
113 PACBIO ss3788134047 Jul 13, 2019 (153)
114 PACBIO ss3793104553 Jul 13, 2019 (153)
115 PACBIO ss3797990140 Jul 13, 2019 (153)
116 KHV_HUMAN_GENOMES ss3819654255 Jul 13, 2019 (153)
117 EVA ss3825061985 Apr 27, 2020 (154)
118 EVA ss3825889285 Apr 27, 2020 (154)
119 EVA ss3834750320 Apr 27, 2020 (154)
120 EVA ss3840983393 Apr 27, 2020 (154)
121 EVA ss3846477555 Apr 27, 2020 (154)
122 SGDP_PRJ ss3885224823 Apr 27, 2020 (154)
123 KRGDB ss3934807039 Apr 27, 2020 (154)
124 KOGIC ss3978286466 Apr 27, 2020 (154)
125 FSA-LAB ss3984104526 Apr 27, 2021 (155)
126 EVA ss3984718939 Apr 27, 2021 (155)
127 EVA ss3986707268 Apr 27, 2021 (155)
128 EVA ss4017753788 Apr 27, 2021 (155)
129 TOPMED ss5027686724 Apr 27, 2021 (155)
130 TOMMO_GENOMICS ss5221245971 Apr 27, 2021 (155)
131 EVA ss5236938289 Apr 27, 2021 (155)
132 EVA ss5237236860 Apr 27, 2021 (155)
133 EVA ss5237667707 Oct 16, 2022 (156)
134 1000G_HIGH_COVERAGE ss5302236579 Oct 16, 2022 (156)
135 EVA ss5315868911 Oct 16, 2022 (156)
136 EVA ss5426049898 Oct 16, 2022 (156)
137 HUGCELL_USP ss5495432054 Oct 16, 2022 (156)
138 1000G_HIGH_COVERAGE ss5605507158 Oct 16, 2022 (156)
139 EVA ss5623969380 Oct 16, 2022 (156)
140 EVA ss5624067354 Oct 16, 2022 (156)
141 SANFORD_IMAGENETICS ss5659617185 Oct 16, 2022 (156)
142 TOMMO_GENOMICS ss5776764489 Oct 16, 2022 (156)
143 EVA ss5799457553 Oct 16, 2022 (156)
144 EVA ss5799968731 Oct 16, 2022 (156)
145 EVA ss5800204969 Oct 16, 2022 (156)
146 YY_MCH ss5816288359 Oct 16, 2022 (156)
147 EVA ss5833645892 Oct 16, 2022 (156)
148 EVA ss5847785654 Oct 16, 2022 (156)
149 EVA ss5848437520 Oct 16, 2022 (156)
150 EVA ss5851715785 Oct 16, 2022 (156)
151 EVA ss5913015780 Oct 16, 2022 (156)
152 EVA ss5936565760 Oct 16, 2022 (156)
153 EVA ss5951025692 Oct 16, 2022 (156)
154 EVA ss5980947037 Oct 16, 2022 (156)
155 EVA ss5981298285 Oct 16, 2022 (156)
156 1000Genomes NC_000017.10 - 3775848 Oct 12, 2018 (152)
157 1000Genomes_30x NC_000017.11 - 3872554 Oct 16, 2022 (156)
158 The Avon Longitudinal Study of Parents and Children NC_000017.10 - 3775848 Oct 12, 2018 (152)
159 Genetic variation in the Estonian population NC_000017.10 - 3775848 Oct 12, 2018 (152)
160 ExAC NC_000017.10 - 3775848 Oct 12, 2018 (152)
161 FINRISK NC_000017.10 - 3775848 Apr 27, 2020 (154)
162 The Danish reference pan genome NC_000017.10 - 3775848 Apr 27, 2020 (154)
163 gnomAD - Genomes NC_000017.11 - 3872554 Apr 27, 2021 (155)
164 gnomAD - Exomes NC_000017.10 - 3775848 Jul 13, 2019 (153)
165 GO Exome Sequencing Project NC_000017.10 - 3775848 Oct 12, 2018 (152)
166 Genome of the Netherlands Release 5 NC_000017.10 - 3775848 Apr 27, 2020 (154)
167 HapMap NC_000017.11 - 3872554 Apr 27, 2020 (154)
168 KOREAN population from KRGDB NC_000017.10 - 3775848 Apr 27, 2020 (154)
169 Korean Genome Project NC_000017.11 - 3872554 Apr 27, 2020 (154)
170 Medical Genome Project healthy controls from Spanish population NC_000017.10 - 3775848 Apr 27, 2020 (154)
171 Northern Sweden NC_000017.10 - 3775848 Jul 13, 2019 (153)
172 The PAGE Study NC_000017.11 - 3872554 Jul 13, 2019 (153)
173 CNV burdens in cranial meningiomas NC_000017.10 - 3775848 Apr 27, 2021 (155)
174 Qatari NC_000017.10 - 3775848 Apr 27, 2020 (154)
175 SGDP_PRJ NC_000017.10 - 3775848 Apr 27, 2020 (154)
176 Siberian NC_000017.10 - 3775848 Apr 27, 2020 (154)
177 8.3KJPN NC_000017.10 - 3775848 Apr 27, 2021 (155)
178 14KJPN NC_000017.11 - 3872554 Oct 16, 2022 (156)
179 TopMed NC_000017.11 - 3872554 Apr 27, 2021 (155)
180 UK 10K study - Twins NC_000017.10 - 3775848 Oct 12, 2018 (152)
181 A Vietnamese Genetic Variation Database NC_000017.10 - 3775848 Jul 13, 2019 (153)
182 ALFA NC_000017.11 - 3872554 Apr 27, 2021 (155)
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History tab displays RefSNPs (Associated ID) from previous builds (Build) that now support the current RefSNP, and the dates, when the history was updated for each Associated ID (History Updated).

Associated ID History Updated (Build)
rs17709051 Oct 08, 2004 (123)
rs59070130 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss81714291, ss90513536, ss109602073, ss113218272, ss168922785, ss202144137, ss207941308, ss255446854, ss282670674, ss291961414, ss481508867, ss491727046, ss1696907548, ss1713565909, ss3643125596 NC_000017.9:3722596:T:C NC_000017.11:3872553:T:C (self)
70901233, 39322597, 27811447, 2947759, 99426, 4271746, 11622153, 1519116, 17531152, 41984433, 559664, 15109356, 268479, 18354871, 37241803, 9906240, 79215278, 39322597, 8711956, ss237162336, ss243476540, ss342440217, ss481537456, ss482512931, ss485549480, ss491112735, ss491514946, ss537451443, ss565133129, ss660919588, ss778597018, ss780723325, ss783220303, ss783399216, ss784174769, ss832480528, ss834054273, ss974496888, ss992867408, ss1067566316, ss1080892611, ss1357695168, ss1427959985, ss1578065748, ss1584102965, ss1635179200, ss1678173233, ss1692524440, ss1711443904, ss1752224017, ss1752224018, ss1808678146, ss1917912846, ss1936312949, ss1946425638, ss1959716161, ss1968340133, ss2028944747, ss2157389886, ss2628963390, ss2633367848, ss2701931109, ss2742327507, ss2749654381, ss2947100160, ss2985082381, ss3015105548, ss3021747107, ss3351626624, ss3627611176, ss3627611177, ss3631350800, ss3633133241, ss3633840216, ss3634660749, ss3634660750, ss3635528209, ss3636351859, ss3637279709, ss3638145950, ss3640368068, ss3640368069, ss3644678714, ss3646501931, ss3652159707, ss3653854546, ss3682073199, ss3741824491, ss3744437809, ss3744961102, ss3744961103, ss3754384706, ss3772459187, ss3772459188, ss3788134047, ss3793104553, ss3797990140, ss3825061985, ss3825889285, ss3834750320, ss3840983393, ss3885224823, ss3934807039, ss3984104526, ss3984718939, ss3986707268, ss4017753788, ss5221245971, ss5315868911, ss5426049898, ss5623969380, ss5624067354, ss5659617185, ss5799457553, ss5799968731, ss5800204969, ss5833645892, ss5847785654, ss5848437520, ss5936565760, ss5951025692, ss5980947037, ss5981298285 NC_000017.10:3775847:T:C NC_000017.11:3872553:T:C (self)
93033093, 499971398, 1448188, 34664467, 1128467, 110601593, 243232386, 10310722313, ss2215082553, ss3028290545, ss3650591001, ss3699976321, ss3725595546, ss3771906998, ss3819654255, ss3846477555, ss3978286466, ss5027686724, ss5236938289, ss5237236860, ss5237667707, ss5302236579, ss5495432054, ss5605507158, ss5776764489, ss5816288359, ss5851715785, ss5913015780 NC_000017.11:3872553:T:C NC_000017.11:3872553:T:C (self)
ss10860124 NT_010718.13:2622737:T:C NC_000017.11:3872553:T:C (self)
ss17588010, ss21375403 NT_010718.14:2622877:T:C NC_000017.11:3872553:T:C (self)
ss24583452, ss40798955, ss48533608, ss69189580, ss74896422, ss96575524, ss103326769, ss132605685, ss136907125, ss157775652, ss159734141, ss160861182, ss174293744 NT_010718.16:3379221:T:C NC_000017.11:3872553:T:C (self)
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Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

6 citations for rs7214723
PMID Title Author Year Journal
16741161 Variants in the GH-IGF axis confer susceptibility to lung cancer. Rudd MF et al. 2006 Genome research
20106900 International Lung Cancer Consortium: coordinated association study of 10 potential lung cancer susceptibility variants. Truong T et al. 2010 Carcinogenesis
23737288 Polymorphism rs7214723 in CAMKK1 and lung cancer risk in Chinese population. Zhang YH et al. 2013 Tumour biology
28739589 Association of calcium/calmodulin-dependent protein kinase kinase1 rs7214723 polymorphism with lung cancer risk in a Chinese population. Chen D et al. 2017 Bioscience reports
34868969 Associations Between CAMKK1 Polymorphism rs7214723 and the Prognosis of Patients With Lung Cancer. Zhang H et al. 2021 Frontiers in oncology
35499292 Prediction of lung cancer risk in Chinese population with genetic-environment factor using extreme gradient boosting. Li Y et al. 2022 Cancer medicine
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The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.

Genome context:
Select flank length:

Genomic regions, transcripts, and products
Top Help

NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.

Software version is: 2.0.1.post761+d5e8e07