Name: rs6928
Published: September 21, 2022
License: Open Access

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.

rs6928

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr22:21760715 (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: C>A / C>G
Variation Type: SNV Single Nucleotide Variation
Frequency: C=0.494548 (130902/264690, TOPMED)
G=0.490311 (68619/139950, GnomAD)
G=0.49451 (38915/78694, PAGE_STUDY) (+ 19 more)
G=0.43910 (12408/28258, 14KJPN)
C=0.49873 (9420/18888, ALFA)
G=0.43938 (7364/16760, 8.3KJPN)
G=0.4888 (3130/6404, 1000G_30x)
G=0.4868 (2438/5008, 1000G)
G=0.4728 (2117/4478, Estonian)
C=0.4824 (1859/3854, ALSPAC)
C=0.4846 (1797/3708, TWINSUK)
G=0.3939 (1154/2930, KOREAN)
G=0.4947 (936/1892, HapMap)
G=0.4165 (763/1832, Korea1K)
C=0.494 (493/998, GoNL)
G=0.372 (273/734, PRJEB37584)
G=0.435 (261/600, NorthernSweden)
C=0.350 (147/420, SGDP_PRJ)
C=0.412 (89/216, Qatari)
G=0.462 (98/212, Vietnamese)
G=0.38 (15/40, GENOME_DK)
C=0.44 (16/36, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: MAPK1 : 3 Prime UTR 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: 20231103111315

Population	Group	Sample Size	Ref Allele	Alt Allele	Ref HMOZ	Alt HMOZ	HTRZ	HWEP
Total	Global	18888	C=0.49873	G=0.50127	0.247988	0.250529	0.501482	0
European	Sub	14284	C=0.49384	G=0.50616	0.240269	0.25259	0.507141	1
African	Sub	2946	C=0.5475	G=0.4525	0.306178	0.211134	0.482688	1
African Others	Sub	114	C=0.640	G=0.360	0.491228	0.210526	0.298246	4
African American	Sub	2832	C=0.5438	G=0.4562	0.298729	0.211158	0.490113	0
Asian	Sub	112	C=0.562	G=0.438	0.303571	0.178571	0.517857	0
East Asian	Sub	86	C=0.58	G=0.42	0.325581	0.162791	0.511628	0
Other Asian	Sub	26	C=0.50	G=0.50	0.230769	0.230769	0.538462	0
Latin American 1	Sub	146	C=0.473	G=0.527	0.205479	0.260274	0.534247	0
Latin American 2	Sub	610	C=0.389	G=0.611	0.144262	0.367213	0.488525	0
South Asian	Sub	98	C=0.59	G=0.41	0.326531	0.142857	0.530612	0
Other	Sub	692	C=0.471	G=0.529	0.239884	0.297688	0.462428	1

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").

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Study	Population	Group	Sample Size	Ref Allele	Alt Allele
TopMed	Global	Study-wide	264690	C=0.494548	G=0.505452
gnomAD - Genomes	Global	Study-wide	139950	C=0.509689	G=0.490311
gnomAD - Genomes	European	Sub	75812	C=0.50627	G=0.49373
gnomAD - Genomes	African	Sub	41916	C=0.55707	G=0.44293
gnomAD - Genomes	American	Sub	13632	C=0.40830	G=0.59170
gnomAD - Genomes	Ashkenazi Jewish	Sub	3324	C=0.3893	G=0.6107
gnomAD - Genomes	East Asian	Sub	3118	C=0.5574	G=0.4426
gnomAD - Genomes	Other	Sub	2148	C=0.4665	G=0.5335
The PAGE Study	Global	Study-wide	78694	C=0.50549	G=0.49451
The PAGE Study	AfricanAmerican	Sub	32514	C=0.55622	G=0.44378
The PAGE Study	Mexican	Sub	10810	C=0.40093	G=0.59907
The PAGE Study	Asian	Sub	8316	C=0.5592	G=0.4408
The PAGE Study	PuertoRican	Sub	7916	C=0.4353	G=0.5647
The PAGE Study	NativeHawaiian	Sub	4534	C=0.5426	G=0.4574
The PAGE Study	Cuban	Sub	4230	C=0.4267	G=0.5733
The PAGE Study	Dominican	Sub	3826	C=0.5065	G=0.4935
The PAGE Study	CentralAmerican	Sub	2450	C=0.4535	G=0.5465
The PAGE Study	SouthAmerican	Sub	1982	C=0.4369	G=0.5631
The PAGE Study	NativeAmerican	Sub	1260	C=0.5127	G=0.4873
The PAGE Study	SouthAsian	Sub	856	C=0.512	G=0.488
14KJPN	JAPANESE	Study-wide	28258	C=0.56090	G=0.43910
Allele Frequency Aggregator	Total	Global	18888	C=0.49873	G=0.50127
Allele Frequency Aggregator	European	Sub	14284	C=0.49384	G=0.50616
Allele Frequency Aggregator	African	Sub	2946	C=0.5475	G=0.4525
Allele Frequency Aggregator	Other	Sub	692	C=0.471	G=0.529
Allele Frequency Aggregator	Latin American 2	Sub	610	C=0.389	G=0.611
Allele Frequency Aggregator	Latin American 1	Sub	146	C=0.473	G=0.527
Allele Frequency Aggregator	Asian	Sub	112	C=0.562	G=0.438
Allele Frequency Aggregator	South Asian	Sub	98	C=0.59	G=0.41
8.3KJPN	JAPANESE	Study-wide	16760	C=0.56062	G=0.43938
1000Genomes_30x	Global	Study-wide	6404	C=0.5112	G=0.4888
1000Genomes_30x	African	Sub	1786	C=0.5459	G=0.4541
1000Genomes_30x	Europe	Sub	1266	C=0.4708	G=0.5292
1000Genomes_30x	South Asian	Sub	1202	C=0.5557	G=0.4443
1000Genomes_30x	East Asian	Sub	1170	C=0.5419	G=0.4581
1000Genomes_30x	American	Sub	980	C=0.409	G=0.591
1000Genomes	Global	Study-wide	5008	C=0.5132	G=0.4868
1000Genomes	African	Sub	1322	C=0.5461	G=0.4539
1000Genomes	East Asian	Sub	1008	C=0.5526	G=0.4474
1000Genomes	Europe	Sub	1006	C=0.4781	G=0.5219
1000Genomes	South Asian	Sub	978	C=0.542	G=0.458
1000Genomes	American	Sub	694	C=0.403	G=0.597
Genetic variation in the Estonian population	Estonian	Study-wide	4478	C=0.5272	G=0.4728
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.4824	G=0.5176
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.4846	G=0.5154
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.6061	A=0.0000, G=0.3939
HapMap	Global	Study-wide	1892	C=0.5053	G=0.4947
HapMap	American	Sub	770	C=0.488	G=0.512
HapMap	African	Sub	692	C=0.504	G=0.496
HapMap	Asian	Sub	254	C=0.602	G=0.398
HapMap	Europe	Sub	176	C=0.443	G=0.557
Korean Genome Project	KOREAN	Study-wide	1832	C=0.5835	G=0.4165
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.494	G=0.506
CNV burdens in cranial meningiomas	Global	Study-wide	734	C=0.628	G=0.372
CNV burdens in cranial meningiomas	CRM	Sub	734	C=0.628	G=0.372
Northern Sweden	ACPOP	Study-wide	600	C=0.565	G=0.435
SGDP_PRJ	Global	Study-wide	420	C=0.350	G=0.650
Qatari	Global	Study-wide	216	C=0.412	G=0.588
A Vietnamese Genetic Variation Database	Global	Study-wide	212	C=0.538	G=0.462
The Danish reference pan genome	Danish	Study-wide	40	C=0.62	G=0.38
Siberian	Global	Study-wide	36	C=0.44	G=0.56

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 22	NC_000022.11:g.21760715C>A
GRCh38.p14 chr 22	NC_000022.11:g.21760715C>G
GRCh37.p13 chr 22	NC_000022.10:g.22115004C>A
GRCh37.p13 chr 22	NC_000022.10:g.22115004C>G
MAPK1 RefSeqGene (LRG_786)	NG_023054.2:g.111966G>T
MAPK1 RefSeqGene (LRG_786)	NG_023054.2:g.111966G>C

Gene: MAPK1, mitogen-activated protein kinase 1 (minus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
MAPK1 transcript variant 1	NM_002745.5:c.*3535=	N/A	3 Prime UTR Variant
MAPK1 transcript variant 2	NM_138957.3:c.	N/A	Genic Downstream Transcript Variant

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

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	C=	A	G
GRCh38.p14 chr 22	NC_000022.11:g.21760715=	NC_000022.11:g.21760715C>A	NC_000022.11:g.21760715C>G
GRCh37.p13 chr 22	NC_000022.10:g.22115004=	NC_000022.10:g.22115004C>A	NC_000022.10:g.22115004C>G
MAPK1 RefSeqGene (LRG_786)	NG_023054.2:g.111966=	NG_023054.2:g.111966G>T	NG_023054.2:g.111966G>C
MAPK1 transcript variant 1	NM_002745.5:c.*3535=	NM_002745.5:c.*3535G>T	NM_002745.5:c.*3535G>C
MAPK1 transcript variant 1	NM_002745.4:c.*3535=	NM_002745.4:c.*3535G>T	NM_002745.4:c.*3535G>C

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#.

105 SubSNP, 22 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	CGAP-GAI	ss8683	Sep 19, 2000 (52)
2	LEE	ss1548433	Oct 04, 2000 (86)
3	LEE	ss4433120	May 29, 2002 (106)
4	SC_SNP	ss8005180	Apr 21, 2003 (114)
5	SC_SNP	ss13357930	Dec 05, 2003 (119)
6	CGAP-GAI	ss16254884	Feb 27, 2004 (120)
7	SSAHASNP	ss21863503	Apr 05, 2004 (121)
8	PERLEGEN	ss24703206	Sep 20, 2004 (123)
9	ABI	ss44314475	Mar 13, 2006 (126)
10	AFFY	ss76657551	Dec 08, 2007 (130)
11	HGSV	ss81333253	Dec 15, 2007 (130)
12	HGSV	ss82575243	Dec 15, 2007 (130)
13	HGSV	ss84855374	Dec 15, 2007 (130)
14	PGA-UW-FHCRC	ss86213794	Mar 23, 2008 (129)
15	BCMHGSC_JDW	ss91882953	Mar 24, 2008 (129)
16	BGI	ss103843572	Dec 01, 2009 (131)
17	KRIBB_YJKIM	ss104807854	Feb 06, 2009 (130)
18	1000GENOMES	ss112559183	Jan 25, 2009 (130)
19	1000GENOMES	ss114048052	Jan 25, 2009 (130)
20	ILLUMINA-UK	ss117365479	Feb 14, 2009 (130)
21	ENSEMBL	ss138337121	Dec 01, 2009 (131)
22	ENSEMBL	ss139792064	Dec 01, 2009 (131)
23	GMI	ss157048917	Dec 01, 2009 (131)
24	ILLUMINA	ss160826356	Dec 01, 2009 (131)
25	COMPLETE_GENOMICS	ss167706514	Jul 04, 2010 (132)
26	COMPLETE_GENOMICS	ss168916060	Jul 04, 2010 (132)
27	BUSHMAN	ss204053640	Jul 04, 2010 (132)
28	BCM-HGSC-SUB	ss208829356	Jul 04, 2010 (132)
29	1000GENOMES	ss228622848	Jul 14, 2010 (132)
30	1000GENOMES	ss238026004	Jul 15, 2010 (132)
31	1000GENOMES	ss244154785	Jul 15, 2010 (132)
32	BL	ss255848103	May 09, 2011 (134)
33	GMI	ss283592608	May 04, 2012 (137)
34	PJP	ss292738293	May 09, 2011 (134)
35	ILLUMINA	ss482408805	Sep 08, 2015 (146)
36	ILLUMINA	ss535523547	Sep 08, 2015 (146)
37	RSG_UW	ss538957136	Apr 25, 2013 (138)
38	TISHKOFF	ss566567367	Apr 25, 2013 (138)
39	SSMP	ss662493986	Apr 25, 2013 (138)
40	EVA-GONL	ss995234125	Aug 21, 2014 (142)
41	JMKIDD_LAB	ss1082577091	Aug 21, 2014 (142)
42	1000GENOMES	ss1366730728	Aug 21, 2014 (142)
43	DDI	ss1429224025	Apr 01, 2015 (144)
44	EVA_GENOME_DK	ss1579708906	Apr 01, 2015 (144)
45	EVA_UK10K_ALSPAC	ss1639773274	Apr 01, 2015 (144)
46	EVA_UK10K_TWINSUK	ss1682767307	Apr 01, 2015 (144)
47	EVA_DECODE	ss1699303017	Apr 01, 2015 (144)
48	EVA_SVP	ss1713732128	Apr 01, 2015 (144)
49	HAMMER_LAB	ss1809738739	Sep 08, 2015 (146)
50	WEILL_CORNELL_DGM	ss1938799004	Feb 12, 2016 (147)
51	ILLUMINA	ss1959967246	Feb 12, 2016 (147)
52	GENOMED	ss1969248956	Jul 19, 2016 (147)
53	JJLAB	ss2030172193	Sep 14, 2016 (149)
54	USC_VALOUEV	ss2158782931	Dec 20, 2016 (150)
55	HUMAN_LONGEVITY	ss2246532793	Dec 20, 2016 (150)
56	SYSTEMSBIOZJU	ss2629584291	Nov 08, 2017 (151)
57	GRF	ss2704528654	Nov 08, 2017 (151)
58	GNOMAD	ss2973164840	Nov 08, 2017 (151)
59	AFFY	ss2985851040	Nov 08, 2017 (151)
60	SWEGEN	ss3019117702	Nov 08, 2017 (151)
61	ILLUMINA	ss3022173448	Nov 08, 2017 (151)
62	BIOINF_KMB_FNS_UNIBA	ss3028923097	Nov 08, 2017 (151)
63	CSHL	ss3352783706	Nov 08, 2017 (151)
64	ILLUMINA	ss3628508573	Oct 12, 2018 (152)
65	ILLUMINA	ss3636557289	Oct 12, 2018 (152)
66	OMUKHERJEE_ADBS	ss3646563448	Oct 12, 2018 (152)
67	URBANLAB	ss3651155134	Oct 12, 2018 (152)
68	ILLUMINA	ss3652635193	Oct 12, 2018 (152)
69	EGCUT_WGS	ss3685634007	Jul 13, 2019 (153)
70	EVA_DECODE	ss3707977768	Jul 13, 2019 (153)
71	ILLUMINA	ss3725958625	Jul 13, 2019 (153)
72	ACPOP	ss3743834040	Jul 13, 2019 (153)
73	EVA	ss3759245134	Jul 13, 2019 (153)
74	PAGE_CC	ss3772083161	Jul 13, 2019 (153)
75	PACBIO	ss3788797329	Jul 13, 2019 (153)
76	PACBIO	ss3793668003	Jul 13, 2019 (153)
77	PACBIO	ss3798554340	Jul 13, 2019 (153)
78	KHV_HUMAN_GENOMES	ss3822412821	Jul 13, 2019 (153)
79	EVA	ss3835933057	Apr 27, 2020 (154)
80	EVA	ss3841595643	Apr 27, 2020 (154)
81	EVA	ss3847110030	Apr 27, 2020 (154)
82	SGDP_PRJ	ss3890303697	Apr 27, 2020 (154)
83	KRGDB	ss3940693878	Apr 27, 2020 (154)
84	KOGIC	ss3983421861	Apr 27, 2020 (154)
85	FSA-LAB	ss3984230758	Apr 27, 2021 (155)
86	EVA	ss3984758553	Apr 27, 2021 (155)
87	EVA	ss3986086935	Apr 27, 2021 (155)
88	TOPMED	ss5105501247	Apr 27, 2021 (155)
89	TOMMO_GENOMICS	ss5232122477	Apr 27, 2021 (155)
90	1000G_HIGH_COVERAGE	ss5310705167	Oct 16, 2022 (156)
91	EVA	ss5440610408	Oct 16, 2022 (156)
92	HUGCELL_USP	ss5502602246	Oct 16, 2022 (156)
93	EVA	ss5512350401	Oct 16, 2022 (156)
94	1000G_HIGH_COVERAGE	ss5618083722	Oct 16, 2022 (156)
95	SANFORD_IMAGENETICS	ss5624500029	Oct 16, 2022 (156)
96	SANFORD_IMAGENETICS	ss5664269638	Oct 16, 2022 (156)
97	TOMMO_GENOMICS	ss5793085760	Oct 16, 2022 (156)
98	YY_MCH	ss5818608952	Oct 16, 2022 (156)
99	EVA	ss5821918481	Oct 16, 2022 (156)
100	EVA	ss5847516201	Oct 16, 2022 (156)
101	EVA	ss5847939966	Oct 16, 2022 (156)
102	EVA	ss5853350848	Oct 16, 2022 (156)
103	EVA	ss5881389908	Oct 16, 2022 (156)
104	EVA	ss5959129505	Oct 16, 2022 (156)
105	EVA	ss5979633551	Oct 16, 2022 (156)
106	1000Genomes	NC_000022.10 - 22115004	Oct 12, 2018 (152)
107	1000Genomes_30x	NC_000022.11 - 21760715	Oct 16, 2022 (156)
108	The Avon Longitudinal Study of Parents and Children	NC_000022.10 - 22115004	Oct 12, 2018 (152)
109	Genetic variation in the Estonian population	NC_000022.10 - 22115004	Oct 12, 2018 (152)
110	The Danish reference pan genome	NC_000022.10 - 22115004	Apr 27, 2020 (154)
111	gnomAD - Genomes	NC_000022.11 - 21760715	Apr 27, 2021 (155)
112	Genome of the Netherlands Release 5	NC_000022.10 - 22115004	Apr 27, 2020 (154)
113	HapMap	NC_000022.11 - 21760715	Apr 27, 2020 (154)
114	KOREAN population from KRGDB	NC_000022.10 - 22115004	Apr 27, 2020 (154)
115	Korean Genome Project	NC_000022.11 - 21760715	Apr 27, 2020 (154)
116	Northern Sweden	NC_000022.10 - 22115004	Jul 13, 2019 (153)
117	The PAGE Study	NC_000022.11 - 21760715	Jul 13, 2019 (153)
118	CNV burdens in cranial meningiomas	NC_000022.10 - 22115004	Apr 27, 2021 (155)
119	Qatari	NC_000022.10 - 22115004	Apr 27, 2020 (154)
120	SGDP_PRJ	NC_000022.10 - 22115004	Apr 27, 2020 (154)
121	Siberian	NC_000022.10 - 22115004	Apr 27, 2020 (154)
122	8.3KJPN	NC_000022.10 - 22115004	Apr 27, 2021 (155)
123	14KJPN	NC_000022.11 - 21760715	Oct 16, 2022 (156)
124	TopMed	NC_000022.11 - 21760715	Apr 27, 2021 (155)
125	UK 10K study - Twins	NC_000022.10 - 22115004	Oct 12, 2018 (152)
126	A Vietnamese Genetic Variation Database	NC_000022.10 - 22115004	Jul 13, 2019 (153)
127	ALFA	NC_000022.11 - 21760715	Apr 27, 2021 (155)

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)
rs3203496	Jul 03, 2002 (106)
rs17821393	Oct 07, 2004 (123)
rs56630814	May 26, 2008 (130)
rs60842663	May 26, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
47871272, ss3940693878	NC_000022.10:22115003:C:A	NC_000022.11:21760714:C:A	(self)
ss81333253, ss82575243, ss84855374	NC_000022.8:20439557:C:G	NC_000022.11:21760714:C:G	(self)
ss76657551, ss91882953, ss112559183, ss114048052, ss117365479, ss167706514, ss168916060, ss204053640, ss208829356, ss255848103, ss283592608, ss292738293, ss1699303017, ss1713732128	NC_000022.9:20445003:C:G	NC_000022.11:21760714:C:G	(self)
80266910, 44403639, 31372255, 5873845, 19783673, 47871272, 17118905, 308134, 20840926, 42320677, 11299285, 90091784, 44403639, 9797387, ss228622848, ss238026004, ss244154785, ss482408805, ss535523547, ss566567367, ss662493986, ss995234125, ss1082577091, ss1366730728, ss1429224025, ss1579708906, ss1639773274, ss1682767307, ss1809738739, ss1938799004, ss1959967246, ss1969248956, ss2030172193, ss2158782931, ss2629584291, ss2704528654, ss2973164840, ss2985851040, ss3019117702, ss3022173448, ss3352783706, ss3628508573, ss3636557289, ss3646563448, ss3652635193, ss3685634007, ss3743834040, ss3759245134, ss3788797329, ss3793668003, ss3798554340, ss3835933057, ss3841595643, ss3890303697, ss3940693878, ss3984230758, ss3984758553, ss3986086935, ss5232122477, ss5440610408, ss5512350401, ss5624500029, ss5664269638, ss5821918481, ss5847516201, ss5847939966, ss5959129505, ss5979633551	NC_000022.10:22115003:C:G	NC_000022.11:21760714:C:G	(self)
105609657, 566897112, 2229776, 39799862, 1304630, 126922864, 380610194, 4565390385, ss2246532793, ss3028923097, ss3651155134, ss3707977768, ss3725958625, ss3772083161, ss3822412821, ss3847110030, ss3983421861, ss5105501247, ss5310705167, ss5502602246, ss5618083722, ss5793085760, ss5818608952, ss5853350848, ss5881389908	NC_000022.11:21760714:C:G	NC_000022.11:21760714:C:G	(self)
ss13357930, ss21863503	NT_011520.9:1505572:C:G	NC_000022.11:21760714:C:G	(self)
ss8683, ss1548433, ss4433120, ss8005180, ss16254884, ss24703206, ss44314475, ss86213794, ss103843572, ss104807854, ss138337121, ss139792064, ss157048917, ss160826356, ss538957136	NT_011520.12:1505572:C:G	NC_000022.11:21760714:C:G	(self)

Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.

6 citations for rs6928

PMID	Title	Author	Year	Journal
23537502	Evaluation of the role of MAPK1 and CREB1 polymorphisms on treatment resistance, response and remission in mood disorder patients.	Calati R et al.	2013	Progress in neuro-psychopharmacology & biological psychiatry
25710561	mRNA profiling reveals determinants of trastuzumab efficiency in HER2-positive breast cancer.	von der Heyde S et al.	2015	PloS one
27107574	Impact of polymorphisms in microRNA biogenesis genes on colon cancer risk and microRNA expression levels: a population-based, case-control study.	Mullany LE et al.	2016	BMC medical genomics
28260126	Neuroplasticity and second messenger pathways in antidepressant efficacy: pharmacogenetic results from a prospective trial investigating treatment resistance.	Fabbri C et al.	2017	European archives of psychiatry and clinical neuroscience
28444966	Correlation between genetic polymorphisms within the MAPK1/HIF-1/HO-1 signaling pathway and risk or prognosis of perimenopausal coronary artery disease.	Guo N et al.	2017	Clinical cardiology
35116533	Genetic variations of rs6928 and rs5999521 of ERK2 were found to have correlation with the risk of brain metastasis in patients with lung adenocarcinoma.	Li B et al.	2021	Translational cancer research

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
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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.
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dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs6928