Name: rs10792421
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.

rs10792421

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr11:63837705 (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: G>A / G>C / G>T
Variation Type: SNV Single Nucleotide Variation
Frequency: A=0.479648 (126958/264690, TOPMED)
G=0.455250 (65220/143262, ALFA)
A=0.465953 (65212/139954, GnomAD) (+ 16 more)
G=0.10889 (3077/28258, 14KJPN)
G=0.10902 (1827/16758, 8.3KJPN)
A=0.4992 (3197/6404, 1000G_30x)
G=0.4916 (2462/5008, 1000G)
G=0.4478 (2006/4480, Estonian)
G=0.4333 (1670/3854, ALSPAC)
G=0.4523 (1677/3708, TWINSUK)
G=0.0891 (261/2930, KOREAN)
A=0.4508 (852/1890, HapMap)
G=0.442 (441/998, GoNL)
G=0.493 (296/600, NorthernSweden)
G=0.194 (80/412, SGDP_PRJ)
A=0.472 (102/216, Qatari)
G=0.170 (36/212, Vietnamese)
G=0.25 (12/48, Siberian)
G=0.28 (11/40, GENOME_DK)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: MARK2 : 2KB Upstream Variant
Publications: 2 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	143262	G=0.455250	A=0.544750	0.215996	0.305496	0.478508	32
European	Sub	122558	G=0.449273	A=0.550727	0.202174	0.303628	0.494199	0
African	Sub	6668	G=0.7851	A=0.2149	0.619976	0.04979	0.330234	1
African Others	Sub	242	G=0.884	A=0.116	0.793388	0.024793	0.181818	1
African American	Sub	6426	G=0.7814	A=0.2186	0.613445	0.050731	0.335823	1
Asian	Sub	630	G=0.117	A=0.883	0.012698	0.777778	0.209524	0
East Asian	Sub	498	G=0.114	A=0.886	0.016064	0.787149	0.196787	0
Other Asian	Sub	132	G=0.129	A=0.871	0.0	0.742424	0.257576	1
Latin American 1	Sub	750	G=0.471	A=0.529	0.237333	0.296	0.466667	1
Latin American 2	Sub	6292	G=0.2432	A=0.7568	0.06103	0.574698	0.364272	0
South Asian	Sub	184	G=0.625	A=0.375	0.369565	0.119565	0.51087	0
Other	Sub	6180	G=0.4613	A=0.5387	0.225566	0.302913	0.471521	5

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
TopMed	Global	Study-wide	264690	G=0.520352	A=0.479648
Allele Frequency Aggregator	Total	Global	143262	G=0.455250	A=0.544750
Allele Frequency Aggregator	European	Sub	122558	G=0.449273	A=0.550727
Allele Frequency Aggregator	African	Sub	6668	G=0.7851	A=0.2149
Allele Frequency Aggregator	Latin American 2	Sub	6292	G=0.2432	A=0.7568
Allele Frequency Aggregator	Other	Sub	6180	G=0.4613	A=0.5387
Allele Frequency Aggregator	Latin American 1	Sub	750	G=0.471	A=0.529
Allele Frequency Aggregator	Asian	Sub	630	G=0.117	A=0.883
Allele Frequency Aggregator	South Asian	Sub	184	G=0.625	A=0.375
gnomAD - Genomes	Global	Study-wide	139954	G=0.534047	A=0.465953
gnomAD - Genomes	European	Sub	75800	G=0.44724	A=0.55276
gnomAD - Genomes	African	Sub	41910	G=0.78373	A=0.21627
gnomAD - Genomes	American	Sub	13642	G=0.34489	A=0.65511
gnomAD - Genomes	Ashkenazi Jewish	Sub	3324	G=0.5803	A=0.4197
gnomAD - Genomes	East Asian	Sub	3126	G=0.0995	A=0.9005
gnomAD - Genomes	Other	Sub	2152	G=0.4879	A=0.5121
14KJPN	JAPANESE	Study-wide	28258	G=0.10889	A=0.89111
8.3KJPN	JAPANESE	Study-wide	16758	G=0.10902	A=0.89098
1000Genomes_30x	Global	Study-wide	6404	G=0.5008	A=0.4992
1000Genomes_30x	African	Sub	1786	G=0.8516	A=0.1484
1000Genomes_30x	Europe	Sub	1266	G=0.4684	A=0.5316
1000Genomes_30x	South Asian	Sub	1202	G=0.5691	A=0.4309
1000Genomes_30x	East Asian	Sub	1170	G=0.1068	A=0.8932
1000Genomes_30x	American	Sub	980	G=0.290	A=0.710
1000Genomes	Global	Study-wide	5008	G=0.4916	A=0.5084
1000Genomes	African	Sub	1322	G=0.8495	A=0.1505
1000Genomes	East Asian	Sub	1008	G=0.1101	A=0.8899
1000Genomes	Europe	Sub	1006	G=0.4602	A=0.5398
1000Genomes	South Asian	Sub	978	G=0.575	A=0.425
1000Genomes	American	Sub	694	G=0.293	A=0.707
Genetic variation in the Estonian population	Estonian	Study-wide	4480	G=0.4478	A=0.5522
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	G=0.4333	A=0.5667
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	G=0.4523	A=0.5477
KOREAN population from KRGDB	KOREAN	Study-wide	2930	G=0.0891	A=0.9109, C=0.0000, T=0.0000
HapMap	Global	Study-wide	1890	G=0.5492	A=0.4508
HapMap	American	Sub	768	G=0.451	A=0.549
HapMap	African	Sub	692	G=0.848	A=0.152
HapMap	Asian	Sub	254	G=0.106	A=0.894
HapMap	Europe	Sub	176	G=0.443	A=0.557
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	G=0.442	A=0.558
Northern Sweden	ACPOP	Study-wide	600	G=0.493	A=0.507
SGDP_PRJ	Global	Study-wide	412	G=0.194	A=0.806
Qatari	Global	Study-wide	216	G=0.528	A=0.472
A Vietnamese Genetic Variation Database	Global	Study-wide	212	G=0.170	A=0.830
Siberian	Global	Study-wide	48	G=0.25	A=0.75
The Danish reference pan genome	Danish	Study-wide	40	G=0.28	A=0.72

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 11	NC_000011.10:g.63837705G>A
GRCh38.p14 chr 11	NC_000011.10:g.63837705G>C
GRCh38.p14 chr 11	NC_000011.10:g.63837705G>T
GRCh37.p13 chr 11	NC_000011.9:g.63605177G>A
GRCh37.p13 chr 11	NC_000011.9:g.63605177G>C
GRCh37.p13 chr 11	NC_000011.9:g.63605177G>T
MARK2 RefSeqGene	NG_029771.1:g.3778G>A
MARK2 RefSeqGene	NG_029771.1:g.3778G>C
MARK2 RefSeqGene	NG_029771.1:g.3778G>T

Gene: MARK2, microtubule affinity regulating kinase 2 (plus strand) : 2KB Upstream Variant

Molecule type	Change	Amino acid[Codon]	SO Term
MARK2 transcript variant 4	NM_001039469.3:c.	N/A	Upstream Transcript Variant
MARK2 transcript variant 5	NM_001163296.2:c.	N/A	Upstream Transcript Variant
MARK2 transcript variant 6	NM_001163297.2:c.	N/A	Upstream Transcript Variant
MARK2 transcript variant 3	NM_004954.5:c.	N/A	Upstream Transcript Variant
MARK2 transcript variant 1	NM_017490.4:c.	N/A	N/A

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	G=	A	C	T
GRCh38.p14 chr 11	NC_000011.10:g.63837705=	NC_000011.10:g.63837705G>A	NC_000011.10:g.63837705G>C	NC_000011.10:g.63837705G>T
GRCh37.p13 chr 11	NC_000011.9:g.63605177=	NC_000011.9:g.63605177G>A	NC_000011.9:g.63605177G>C	NC_000011.9:g.63605177G>T
MARK2 RefSeqGene	NG_029771.1:g.3778=	NG_029771.1:g.3778G>A	NG_029771.1:g.3778G>C	NG_029771.1:g.3778G>T

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#.

103 SubSNP, 19 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	SC_SNP	ss15633956	Feb 27, 2004 (120)
2	CSHL-HAPMAP	ss16516039	Feb 27, 2004 (120)
3	SC_SNP	ss18458048	Feb 27, 2004 (120)
4	SC_SNP	ss18680155	Feb 27, 2004 (120)
5	ILLUMINA	ss74872035	Dec 07, 2007 (129)
6	HGSV	ss77600386	Dec 07, 2007 (129)
7	HGSV	ss83729302	Dec 14, 2007 (130)
8	BCMHGSC_JDW	ss88617922	Mar 23, 2008 (129)
9	BGI	ss106747888	Feb 04, 2009 (130)
10	1000GENOMES	ss110573801	Jan 25, 2009 (130)
11	KRIBB_YJKIM	ss119638531	Dec 01, 2009 (131)
12	ENSEMBL	ss132603797	Dec 01, 2009 (131)
13	GMI	ss156400045	Dec 01, 2009 (131)
14	ILLUMINA	ss159921457	Dec 01, 2009 (131)
15	COMPLETE_GENOMICS	ss168481162	Jul 04, 2010 (132)
16	ILLUMINA	ss170536299	Jul 04, 2010 (132)
17	COMPLETE_GENOMICS	ss175162215	Jul 04, 2010 (132)
18	BCM-HGSC-SUB	ss207579739	Jul 04, 2010 (132)
19	1000GENOMES	ss225280664	Jul 14, 2010 (132)
20	1000GENOMES	ss235589118	Jul 15, 2010 (132)
21	1000GENOMES	ss242214404	Jul 15, 2010 (132)
22	BL	ss255225332	May 09, 2011 (134)
23	GMI	ss281039259	May 04, 2012 (137)
24	PJP	ss291060664	May 09, 2011 (134)
25	ILLUMINA	ss479351112	May 04, 2012 (137)
26	ILLUMINA	ss479354219	May 04, 2012 (137)
27	ILLUMINA	ss479751831	Sep 08, 2015 (146)
28	ILLUMINA	ss484475756	May 04, 2012 (137)
29	ILLUMINA	ss536635087	Sep 08, 2015 (146)
30	TISHKOFF	ss562606792	Apr 25, 2013 (138)
31	SSMP	ss658118549	Apr 25, 2013 (138)
32	ILLUMINA	ss778364970	Sep 08, 2015 (146)
33	ILLUMINA	ss782684414	Sep 08, 2015 (146)
34	ILLUMINA	ss783652816	Sep 08, 2015 (146)
35	ILLUMINA	ss831935260	Sep 08, 2015 (146)
36	ILLUMINA	ss833819791	Sep 08, 2015 (146)
37	EVA-GONL	ss988602291	Aug 21, 2014 (142)
38	JMKIDD_LAB	ss1077787049	Aug 21, 2014 (142)
39	1000GENOMES	ss1341583775	Aug 21, 2014 (142)
40	DDI	ss1426656779	Apr 01, 2015 (144)
41	EVA_GENOME_DK	ss1575756502	Apr 01, 2015 (144)
42	EVA_DECODE	ss1598264412	Apr 01, 2015 (144)
43	EVA_UK10K_ALSPAC	ss1626750201	Apr 01, 2015 (144)
44	EVA_UK10K_TWINSUK	ss1669744234	Apr 01, 2015 (144)
45	EVA_SVP	ss1713259670	Apr 01, 2015 (144)
46	ILLUMINA	ss1752025999	Sep 08, 2015 (146)
47	WEILL_CORNELL_DGM	ss1931961171	Feb 12, 2016 (147)
48	GENOMED	ss1967379299	Jul 19, 2016 (147)
49	JJLAB	ss2026726885	Sep 14, 2016 (149)
50	ILLUMINA	ss2095022942	Dec 20, 2016 (150)
51	USC_VALOUEV	ss2155030297	Dec 20, 2016 (150)
52	HUMAN_LONGEVITY	ss2182965186	Dec 20, 2016 (150)
53	SYSTEMSBIOZJU	ss2627836594	Nov 08, 2017 (151)
54	ILLUMINA	ss2632842481	Nov 08, 2017 (151)
55	GRF	ss2699320631	Nov 08, 2017 (151)
56	GNOMAD	ss2900538149	Nov 08, 2017 (151)
57	SWEGEN	ss3008222094	Nov 08, 2017 (151)
58	CSHL	ss3349635596	Nov 08, 2017 (151)
59	ILLUMINA	ss3626674019	Oct 12, 2018 (152)
60	ILLUMINA	ss3630859305	Oct 12, 2018 (152)
61	ILLUMINA	ss3632987966	Oct 12, 2018 (152)
62	ILLUMINA	ss3633687245	Oct 12, 2018 (152)
63	ILLUMINA	ss3634458374	Oct 12, 2018 (152)
64	ILLUMINA	ss3635378822	Oct 12, 2018 (152)
65	ILLUMINA	ss3636142510	Oct 12, 2018 (152)
66	ILLUMINA	ss3637129670	Oct 12, 2018 (152)
67	ILLUMINA	ss3637910807	Oct 12, 2018 (152)
68	ILLUMINA	ss3640165713	Oct 12, 2018 (152)
69	ILLUMINA	ss3642908953	Oct 12, 2018 (152)
70	ILLUMINA	ss3651707845	Oct 12, 2018 (152)
71	EGCUT_WGS	ss3675558919	Jul 13, 2019 (153)
72	EVA_DECODE	ss3691935252	Jul 13, 2019 (153)
73	ACPOP	ss3738245316	Jul 13, 2019 (153)
74	ILLUMINA	ss3744759220	Jul 13, 2019 (153)
75	EVA	ss3749390314	Jul 13, 2019 (153)
76	ILLUMINA	ss3772259161	Jul 13, 2019 (153)
77	PACBIO	ss3786974124	Jul 13, 2019 (153)
78	PACBIO	ss3792112488	Jul 13, 2019 (153)
79	PACBIO	ss3796994840	Jul 13, 2019 (153)
80	KHV_HUMAN_GENOMES	ss3814734092	Jul 13, 2019 (153)
81	EVA	ss3832667422	Apr 26, 2020 (154)
82	EVA	ss3839891346	Apr 26, 2020 (154)
83	EVA	ss3845370758	Apr 26, 2020 (154)
84	SGDP_PRJ	ss3876418047	Apr 26, 2020 (154)
85	KRGDB	ss3924788592	Apr 26, 2020 (154)
86	EVA	ss4017541284	Apr 26, 2021 (155)
87	TOPMED	ss4887941364	Apr 26, 2021 (155)
88	TOMMO_GENOMICS	ss5202329299	Apr 26, 2021 (155)
89	1000G_HIGH_COVERAGE	ss5287689632	Oct 16, 2022 (156)
90	EVA	ss5315550726	Oct 16, 2022 (156)
91	EVA	ss5400057197	Oct 16, 2022 (156)
92	HUGCELL_USP	ss5482836737	Oct 16, 2022 (156)
93	EVA	ss5510391332	Oct 16, 2022 (156)
94	1000G_HIGH_COVERAGE	ss5583550283	Oct 16, 2022 (156)
95	SANFORD_IMAGENETICS	ss5651378925	Oct 16, 2022 (156)
96	TOMMO_GENOMICS	ss5750312190	Oct 16, 2022 (156)
97	EVA	ss5799844647	Oct 16, 2022 (156)
98	YY_MCH	ss5812480714	Oct 16, 2022 (156)
99	EVA	ss5836765792	Oct 16, 2022 (156)
100	EVA	ss5850009314	Oct 16, 2022 (156)
101	EVA	ss5920282466	Oct 16, 2022 (156)
102	EVA	ss5942691705	Oct 16, 2022 (156)
103	EVA	ss5980681915	Oct 16, 2022 (156)
104	1000Genomes	NC_000011.9 - 63605177	Oct 12, 2018 (152)
105	1000Genomes_30x	NC_000011.10 - 63837705	Oct 16, 2022 (156)
106	The Avon Longitudinal Study of Parents and Children	NC_000011.9 - 63605177	Oct 12, 2018 (152)
107	Genetic variation in the Estonian population	NC_000011.9 - 63605177	Oct 12, 2018 (152)
108	The Danish reference pan genome	NC_000011.9 - 63605177	Apr 26, 2020 (154)
109	gnomAD - Genomes	NC_000011.10 - 63837705	Apr 26, 2021 (155)
110	Genome of the Netherlands Release 5	NC_000011.9 - 63605177	Apr 26, 2020 (154)
111	HapMap	NC_000011.10 - 63837705	Apr 26, 2020 (154)
112	KOREAN population from KRGDB	NC_000011.9 - 63605177	Apr 26, 2020 (154)
113	Northern Sweden	NC_000011.9 - 63605177	Jul 13, 2019 (153)
114	Qatari	NC_000011.9 - 63605177	Apr 26, 2020 (154)
115	SGDP_PRJ	NC_000011.9 - 63605177	Apr 26, 2020 (154)
116	Siberian	NC_000011.9 - 63605177	Apr 26, 2020 (154)
117	8.3KJPN	NC_000011.9 - 63605177	Apr 26, 2021 (155)
118	14KJPN	NC_000011.10 - 63837705	Oct 16, 2022 (156)
119	TopMed	NC_000011.10 - 63837705	Apr 26, 2021 (155)
120	UK 10K study - Twins	NC_000011.9 - 63605177	Oct 12, 2018 (152)
121	A Vietnamese Genetic Variation Database	NC_000011.9 - 63605177	Jul 13, 2019 (153)
122	ALFA	NC_000011.10 - 63837705	Apr 26, 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)
rs57895642	May 24, 2008 (130)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss77600386, ss83729302, ss88617922, ss110573801, ss168481162, ss175162215, ss207579739, ss255225332, ss281039259, ss291060664, ss479351112, ss1598264412, ss1713259670, ss3642908953	NC_000011.8:63361752:G:A	NC_000011.10:63837704:G:A	(self)
54116989, 30050022, 21297167, 2598561, 13410426, 31965986, 11530181, 14003101, 28435027, 7546651, 60298606, 30050022, 6670404, ss225280664, ss235589118, ss242214404, ss479354219, ss479751831, ss484475756, ss536635087, ss562606792, ss658118549, ss778364970, ss782684414, ss783652816, ss831935260, ss833819791, ss988602291, ss1077787049, ss1341583775, ss1426656779, ss1575756502, ss1626750201, ss1669744234, ss1752025999, ss1931961171, ss1967379299, ss2026726885, ss2095022942, ss2155030297, ss2627836594, ss2632842481, ss2699320631, ss2900538149, ss3008222094, ss3349635596, ss3626674019, ss3630859305, ss3632987966, ss3633687245, ss3634458374, ss3635378822, ss3636142510, ss3637129670, ss3637910807, ss3640165713, ss3651707845, ss3675558919, ss3738245316, ss3744759220, ss3749390314, ss3772259161, ss3786974124, ss3792112488, ss3796994840, ss3832667422, ss3839891346, ss3876418047, ss3924788592, ss4017541284, ss5202329299, ss5315550726, ss5400057197, ss5510391332, ss5651378925, ss5799844647, ss5836765792, ss5942691705, ss5980681915	NC_000011.9:63605176:G:A	NC_000011.10:63837704:G:A	(self)
71076218, 381974348, 625935, 84149294, 103487020, 4807543247, ss2182965186, ss3691935252, ss3814734092, ss3845370758, ss4887941364, ss5287689632, ss5482836737, ss5583550283, ss5750312190, ss5812480714, ss5850009314, ss5920282466	NC_000011.10:63837704:G:A	NC_000011.10:63837704:G:A	(self)
ss15633956, ss16516039, ss18458048, ss18680155	NT_033903.6:8778218:G:A	NC_000011.10:63837704:G:A	(self)
ss74872035, ss106747888, ss119638531, ss132603797, ss156400045, ss159921457, ss170536299	NT_167190.1:8910971:G:A	NC_000011.10:63837704:G:A	(self)
31965986, ss3924788592	NC_000011.9:63605176:G:C	NC_000011.10:63837704:G:C	(self)
31965986, ss3924788592	NC_000011.9:63605176:G:T	NC_000011.10:63837704:G:T	(self)

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

2 citations for rs10792421

PMID	Title	Author	Year	Journal
30930738	Genetic Overlap Between Alzheimer's Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes.	Drange OK et al.	2019	Frontiers in neuroscience
34953473	Validating MARK2 Gene Polymorphism as a Predictor of Response to Lithium Treatment in Bipolar Patients.	Aghabozorg Afjeh SS et al.	2022	Iranian biomedical journal

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.

Choose placement

dbSNP Short Genetic Variations

Welcome to the Reference SNP (rs) Report

Reference SNP (rs) Report

rs10792421