Name: rs2305560
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.

rs2305560

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr2:197501064 (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>T
Variation Type: SNV Single Nucleotide Variation
Frequency: T=0.148037 (39184/264690, TOPMED)
T=0.166667 (41013/246078, GnomAD_exome)
T=0.144913 (20307/140132, GnomAD) (+ 23 more)
T=0.161962 (19541/120652, ExAC)
T=0.17046 (7677/45036, ALFA)
T=0.21447 (6060/28256, 14KJPN)
T=0.21319 (3573/16760, 8.3KJPN)
T=0.14563 (1894/13006, GO-ESP)
T=0.1268 (812/6404, 1000G_30x)
T=0.1302 (652/5008, 1000G)
T=0.1489 (667/4480, Estonian)
T=0.1816 (700/3854, ALSPAC)
T=0.1893 (702/3708, TWINSUK)
T=0.2666 (781/2930, KOREAN)
T=0.2555 (468/1832, Korea1K)
T=0.1361 (218/1602, HapMap)
T=0.171 (171/998, GoNL)
T=0.289 (227/786, PRJEB37584)
T=0.100 (60/600, NorthernSweden)
T=0.199 (106/534, MGP)
T=0.174 (53/304, FINRISK)
T=0.167 (36/216, Qatari)
C=0.424 (78/184, SGDP_PRJ)
T=0.17 (7/40, GENOME_DK)
T=0.22 (4/18, Ancient Sardinia)
C=0.44 (7/16, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: HSPE1 : Intron Variant
HSPE1-MOB4 : Intron Variant
HSPD1 : 2KB Upstream Variant
Publications: 1 citation
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	61392	C=0.83812	T=0.16188
European	Sub	44736	C=0.82086	T=0.17914
African	Sub	9748	C=0.9330	T=0.0670
African Others	Sub	350	C=0.949	T=0.051
African American	Sub	9398	C=0.9324	T=0.0676
Asian	Sub	192	C=0.807	T=0.193
East Asian	Sub	134	C=0.791	T=0.209
Other Asian	Sub	58	C=0.84	T=0.16
Latin American 1	Sub	182	C=0.830	T=0.170
Latin American 2	Sub	754	C=0.829	T=0.171
South Asian	Sub	114	C=0.895	T=0.105
Other	Sub	5666	C=0.8126	T=0.1874

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	C=0.851963	T=0.148037
gnomAD - Exomes	Global	Study-wide	246078	C=0.833333	T=0.166667
gnomAD - Exomes	European	Sub	133576	C=0.824325	T=0.175675
gnomAD - Exomes	Asian	Sub	47678	C=0.85507	T=0.14493
gnomAD - Exomes	American	Sub	32948	C=0.81013	T=0.18987
gnomAD - Exomes	African	Sub	16014	C=0.94280	T=0.05720
gnomAD - Exomes	Ashkenazi Jewish	Sub	9852	C=0.7678	T=0.2322
gnomAD - Exomes	Other	Sub	6010	C=0.8042	T=0.1958
gnomAD - Genomes	Global	Study-wide	140132	C=0.855087	T=0.144913
gnomAD - Genomes	European	Sub	75862	C=0.82521	T=0.17479
gnomAD - Genomes	African	Sub	42032	C=0.93783	T=0.06217
gnomAD - Genomes	American	Sub	13646	C=0.81262	T=0.18738
gnomAD - Genomes	Ashkenazi Jewish	Sub	3318	C=0.7634	T=0.2366
gnomAD - Genomes	East Asian	Sub	3126	C=0.7630	T=0.2370
gnomAD - Genomes	Other	Sub	2148	C=0.8366	T=0.1634
ExAC	Global	Study-wide	120652	C=0.838038	T=0.161962
ExAC	Europe	Sub	73170	C=0.82187	T=0.17813
ExAC	Asian	Sub	24952	C=0.85973	T=0.14027
ExAC	American	Sub	11564	C=0.80794	T=0.19206
ExAC	African	Sub	10066	C=0.93920	T=0.06080
ExAC	Other	Sub	900	C=0.807	T=0.193
Allele Frequency Aggregator	Total	Global	45036	C=0.82954	T=0.17046
Allele Frequency Aggregator	European	Sub	34650	C=0.81798	T=0.18202
Allele Frequency Aggregator	African	Sub	4910	C=0.9295	T=0.0705
Allele Frequency Aggregator	Other	Sub	4234	C=0.8075	T=0.1925
Allele Frequency Aggregator	Latin American 2	Sub	754	C=0.829	T=0.171
Allele Frequency Aggregator	Asian	Sub	192	C=0.807	T=0.193
Allele Frequency Aggregator	Latin American 1	Sub	182	C=0.830	T=0.170
Allele Frequency Aggregator	South Asian	Sub	114	C=0.895	T=0.105
14KJPN	JAPANESE	Study-wide	28256	C=0.78553	T=0.21447
8.3KJPN	JAPANESE	Study-wide	16760	C=0.78681	T=0.21319
GO Exome Sequencing Project	Global	Study-wide	13006	C=0.85437	T=0.14563
GO Exome Sequencing Project	European American	Sub	8600	C=0.8150	T=0.1850
GO Exome Sequencing Project	African American	Sub	4406	C=0.9312	T=0.0688
1000Genomes_30x	Global	Study-wide	6404	C=0.8732	T=0.1268
1000Genomes_30x	African	Sub	1786	C=0.9636	T=0.0364
1000Genomes_30x	Europe	Sub	1266	C=0.8041	T=0.1959
1000Genomes_30x	South Asian	Sub	1202	C=0.9301	T=0.0699
1000Genomes_30x	East Asian	Sub	1170	C=0.7880	T=0.2120
1000Genomes_30x	American	Sub	980	C=0.830	T=0.170
1000Genomes	Global	Study-wide	5008	C=0.8698	T=0.1302
1000Genomes	African	Sub	1322	C=0.9622	T=0.0378
1000Genomes	East Asian	Sub	1008	C=0.7857	T=0.2143
1000Genomes	Europe	Sub	1006	C=0.8022	T=0.1978
1000Genomes	South Asian	Sub	978	C=0.928	T=0.072
1000Genomes	American	Sub	694	C=0.831	T=0.169
Genetic variation in the Estonian population	Estonian	Study-wide	4480	C=0.8511	T=0.1489
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	C=0.8184	T=0.1816
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	C=0.8107	T=0.1893
KOREAN population from KRGDB	KOREAN	Study-wide	2930	C=0.7334	T=0.2666
Korean Genome Project	KOREAN	Study-wide	1832	C=0.7445	T=0.2555
HapMap	Global	Study-wide	1602	C=0.8639	T=0.1361
HapMap	American	Sub	768	C=0.861	T=0.139
HapMap	African	Sub	404	C=0.958	T=0.042
HapMap	Asian	Sub	254	C=0.795	T=0.205
HapMap	Europe	Sub	176	C=0.761	T=0.239
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	C=0.829	T=0.171
CNV burdens in cranial meningiomas	Global	Study-wide	786	C=0.711	T=0.289
CNV burdens in cranial meningiomas	CRM	Sub	786	C=0.711	T=0.289
Northern Sweden	ACPOP	Study-wide	600	C=0.900	T=0.100
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	C=0.801	T=0.199
FINRISK	Finnish from FINRISK project	Study-wide	304	C=0.826	T=0.174
Qatari	Global	Study-wide	216	C=0.833	T=0.167
SGDP_PRJ	Global	Study-wide	184	C=0.424	T=0.576
The Danish reference pan genome	Danish	Study-wide	40	C=0.82	T=0.17
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	18	C=0.78	T=0.22
Siberian	Global	Study-wide	16	C=0.44	T=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 2	NC_000002.12:g.197501064C>T
GRCh37.p13 chr 2	NC_000002.11:g.198365788C>T
HSPD1 RefSeqGene	NG_008915.1:g.4211G>A
HSPE1 RefSeqGene	NG_008914.1:g.6068C>T

Gene: HSPE1-MOB4, HSPE1-MOB4 readthrough (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
HSPE1-MOB4 transcript	NM_001202485.2:c.4-10C>T	N/A	Intron Variant

Gene: HSPE1, heat shock protein family E (Hsp10) member 1 (plus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
HSPE1 transcript	NM_002157.3:c.4-10C>T	N/A	Intron Variant

Gene: HSPD1, heat shock protein family D (Hsp60) member 1 (minus strand) : 2KB Upstream Variant

Molecule type	Change	Amino acid[Codon]	SO Term
HSPD1 transcript variant 1	NM_002156.5:c.	N/A	Upstream Transcript Variant
HSPD1 transcript variant 2	NM_199440.2:c.	N/A	Upstream 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=	T
GRCh38.p14 chr 2	NC_000002.12:g.197501064=	NC_000002.12:g.197501064C>T
GRCh37.p13 chr 2	NC_000002.11:g.198365788=	NC_000002.11:g.198365788C>T
HSPD1 RefSeqGene	NG_008915.1:g.4211=	NG_008915.1:g.4211G>A
HSPE1 RefSeqGene	NG_008914.1:g.6068=	NG_008914.1:g.6068C>T
HSPE1-MOB4 transcript	NM_001202485.1:c.4-10=	NM_001202485.1:c.4-10C>T
HSPE1-MOB4 transcript	NM_001202485.2:c.4-10=	NM_001202485.2:c.4-10C>T
HSPE1 transcript	NM_002157.2:c.4-10=	NM_002157.2:c.4-10C>T
HSPE1 transcript	NM_002157.3:c.4-10=	NM_002157.3:c.4-10C>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#.

90 SubSNP, 26 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	YUSUKE	ss3252834	Sep 28, 2001 (100)
2	ILLUMINA	ss75137152	Dec 06, 2007 (129)
3	KRIBB_YJKIM	ss119430574	Dec 01, 2009 (131)
4	GMI	ss154543592	Dec 01, 2009 (131)
5	COMPLETE_GENOMICS	ss165811744	Jul 04, 2010 (132)
6	ILLUMINA	ss173280404	Jul 04, 2010 (132)
7	1000GENOMES	ss219744615	Jul 14, 2010 (132)
8	1000GENOMES	ss231537489	Jul 14, 2010 (132)
9	1000GENOMES	ss239010455	Jul 15, 2010 (132)
10	GMI	ss276853780	May 04, 2012 (137)
11	ILLUMINA	ss480021695	May 04, 2012 (137)
12	ILLUMINA	ss483987952	May 04, 2012 (137)
13	1000GENOMES	ss489846151	May 04, 2012 (137)
14	CLINSEQ_SNP	ss491797689	May 04, 2012 (137)
15	ILLUMINA	ss533478301	Sep 08, 2015 (146)
16	TISHKOFF	ss556140372	Apr 25, 2013 (138)
17	SSMP	ss649806738	Apr 25, 2013 (138)
18	NHLBI-ESP	ss712474548	Apr 25, 2013 (138)
19	ILLUMINA	ss779695826	Sep 08, 2015 (146)
20	ILLUMINA	ss781127176	Sep 08, 2015 (146)
21	ILLUMINA	ss835169832	Sep 08, 2015 (146)
22	EVA-GONL	ss977826366	Aug 21, 2014 (142)
23	JMKIDD_LAB	ss1067444022	Aug 21, 2014 (142)
24	JMKIDD_LAB	ss1069841291	Aug 21, 2014 (142)
25	1000GENOMES	ss1301126076	Aug 21, 2014 (142)
26	DDI	ss1428872400	Apr 01, 2015 (144)
27	EVA_GENOME_DK	ss1579270709	Apr 01, 2015 (144)
28	EVA_FINRISK	ss1584023082	Apr 01, 2015 (144)
29	EVA_DECODE	ss1587275660	Apr 01, 2015 (144)
30	EVA_UK10K_ALSPAC	ss1605516633	Apr 01, 2015 (144)
31	EVA_UK10K_TWINSUK	ss1648510666	Apr 01, 2015 (144)
32	EVA_EXAC	ss1686672723	Apr 01, 2015 (144)
33	EVA_MGP	ss1710992177	Apr 01, 2015 (144)
34	EVA_SVP	ss1712521302	Apr 01, 2015 (144)
35	WEILL_CORNELL_DGM	ss1921075377	Feb 12, 2016 (147)
36	JJLAB	ss2021078736	Sep 14, 2016 (149)
37	USC_VALOUEV	ss2149144028	Dec 20, 2016 (150)
38	HUMAN_LONGEVITY	ss2238053433	Dec 20, 2016 (150)
39	SYSTEMSBIOZJU	ss2625042825	Nov 08, 2017 (151)
40	ILLUMINA	ss2633724213	Nov 08, 2017 (151)
41	GRF	ss2703790053	Nov 08, 2017 (151)
42	GNOMAD	ss2733233561	Nov 08, 2017 (151)
43	GNOMAD	ss2746850935	Nov 08, 2017 (151)
44	GNOMAD	ss2784833417	Nov 08, 2017 (151)
45	SWEGEN	ss2991148197	Nov 08, 2017 (151)
46	BIOINF_KMB_FNS_UNIBA	ss3024299040	Nov 08, 2017 (151)
47	CSHL	ss3344684643	Nov 08, 2017 (151)
48	ILLUMINA	ss3628258184	Oct 11, 2018 (152)
49	ILLUMINA	ss3631684879	Oct 11, 2018 (152)
50	ILLUMINA	ss3638311171	Oct 11, 2018 (152)
51	ILLUMINA	ss3642147905	Oct 11, 2018 (152)
52	ILLUMINA	ss3643276389	Oct 11, 2018 (152)
53	OMUKHERJEE_ADBS	ss3646276788	Oct 11, 2018 (152)
54	EGCUT_WGS	ss3659034391	Jul 13, 2019 (153)
55	EVA_DECODE	ss3705768599	Jul 13, 2019 (153)
56	ACPOP	ss3729260783	Jul 13, 2019 (153)
57	EVA	ss3757930759	Jul 13, 2019 (153)
58	PACBIO	ss3784116664	Jul 13, 2019 (153)
59	PACBIO	ss3789660731	Jul 13, 2019 (153)
60	PACBIO	ss3794533894	Jul 13, 2019 (153)
61	KHV_HUMAN_GENOMES	ss3802290645	Jul 13, 2019 (153)
62	EVA	ss3823842175	Apr 25, 2020 (154)
63	EVA	ss3825616182	Apr 25, 2020 (154)
64	EVA	ss3827440917	Apr 25, 2020 (154)
65	SGDP_PRJ	ss3854331299	Apr 25, 2020 (154)
66	KRGDB	ss3900012451	Apr 25, 2020 (154)
67	KOGIC	ss3949829693	Apr 25, 2020 (154)
68	FSA-LAB	ss3984198354	Apr 27, 2021 (155)
69	EVA	ss3984495980	Apr 27, 2021 (155)
70	EVA	ss3984946054	Apr 27, 2021 (155)
71	EVA	ss3986209861	Apr 27, 2021 (155)
72	EVA	ss4017042649	Apr 27, 2021 (155)
73	TOPMED	ss4540008504	Apr 27, 2021 (155)
74	TOMMO_GENOMICS	ss5155907877	Apr 27, 2021 (155)
75	1000G_HIGH_COVERAGE	ss5251578845	Oct 12, 2022 (156)
76	EVA	ss5314799334	Oct 12, 2022 (156)
77	EVA	ss5335203653	Oct 12, 2022 (156)
78	HUGCELL_USP	ss5451238152	Oct 12, 2022 (156)
79	EVA	ss5506751640	Oct 12, 2022 (156)
80	1000G_HIGH_COVERAGE	ss5528691213	Oct 12, 2022 (156)
81	EVA	ss5623923082	Oct 12, 2022 (156)
82	EVA	ss5624106887	Oct 12, 2022 (156)
83	SANFORD_IMAGENETICS	ss5630700043	Oct 12, 2022 (156)
84	TOMMO_GENOMICS	ss5686616677	Oct 12, 2022 (156)
85	YY_MCH	ss5803116626	Oct 12, 2022 (156)
86	EVA	ss5821415193	Oct 12, 2022 (156)
87	EVA	ss5848531843	Oct 12, 2022 (156)
88	EVA	ss5852902914	Oct 12, 2022 (156)
89	EVA	ss5934183990	Oct 12, 2022 (156)
90	EVA	ss5956943119	Oct 12, 2022 (156)
91	1000Genomes	NC_000002.11 - 198365788	Oct 11, 2018 (152)
92	1000Genomes_30x	NC_000002.12 - 197501064	Oct 12, 2022 (156)
93	The Avon Longitudinal Study of Parents and Children	NC_000002.11 - 198365788	Oct 11, 2018 (152)
94	Genetic variation in the Estonian population	NC_000002.11 - 198365788	Oct 11, 2018 (152)
95	ExAC	NC_000002.11 - 198365788	Oct 11, 2018 (152)
96	FINRISK	NC_000002.11 - 198365788	Apr 25, 2020 (154)
97	The Danish reference pan genome	NC_000002.11 - 198365788	Apr 25, 2020 (154)
98	gnomAD - Genomes	NC_000002.12 - 197501064	Apr 27, 2021 (155)
99	gnomAD - Exomes	NC_000002.11 - 198365788	Jul 13, 2019 (153)
100	GO Exome Sequencing Project	NC_000002.11 - 198365788	Oct 11, 2018 (152)
101	Genome of the Netherlands Release 5	NC_000002.11 - 198365788	Apr 25, 2020 (154)
102	HapMap	NC_000002.12 - 197501064	Apr 25, 2020 (154)
103	KOREAN population from KRGDB	NC_000002.11 - 198365788	Apr 25, 2020 (154)
104	Korean Genome Project	NC_000002.12 - 197501064	Apr 25, 2020 (154)
105	Medical Genome Project healthy controls from Spanish population	NC_000002.11 - 198365788	Apr 25, 2020 (154)
106	Northern Sweden	NC_000002.11 - 198365788	Jul 13, 2019 (153)
107	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000002.11 - 198365788	Apr 27, 2021 (155)
108	CNV burdens in cranial meningiomas	NC_000002.11 - 198365788	Apr 27, 2021 (155)
109	Qatari	NC_000002.11 - 198365788	Apr 25, 2020 (154)
110	SGDP_PRJ	NC_000002.11 - 198365788	Apr 25, 2020 (154)
111	Siberian	NC_000002.11 - 198365788	Apr 25, 2020 (154)
112	8.3KJPN	NC_000002.11 - 198365788	Apr 27, 2021 (155)
113	14KJPN	NC_000002.12 - 197501064	Oct 12, 2022 (156)
114	TopMed	NC_000002.12 - 197501064	Apr 27, 2021 (155)
115	UK 10K study - Twins	NC_000002.11 - 198365788	Oct 11, 2018 (152)
116	ALFA	NC_000002.12 - 197501064	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).

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss165811744, ss276853780, ss483987952, ss491797689, ss1587275660, ss1712521302, ss3643276389	NC_000002.10:198074032:C:T	NC_000002.12:197501063:C:T	(self)
12211470, 6746117, 4772639, 6572351, 19543, 5435648, 2296784, 300600, 2962140, 7189845, 108716, 2545648, 171981, 45316, 3117307, 6348279, 1660382, 13877184, 6746117, ss219744615, ss231537489, ss239010455, ss480021695, ss489846151, ss533478301, ss556140372, ss649806738, ss712474548, ss779695826, ss781127176, ss835169832, ss977826366, ss1067444022, ss1069841291, ss1301126076, ss1428872400, ss1579270709, ss1584023082, ss1605516633, ss1648510666, ss1686672723, ss1710992177, ss1921075377, ss2021078736, ss2149144028, ss2625042825, ss2633724213, ss2703790053, ss2733233561, ss2746850935, ss2784833417, ss2991148197, ss3344684643, ss3628258184, ss3631684879, ss3638311171, ss3642147905, ss3646276788, ss3659034391, ss3729260783, ss3757930759, ss3784116664, ss3789660731, ss3794533894, ss3823842175, ss3825616182, ss3827440917, ss3854331299, ss3900012451, ss3984198354, ss3984495980, ss3984946054, ss3986209861, ss4017042649, ss5155907877, ss5314799334, ss5335203653, ss5506751640, ss5623923082, ss5624106887, ss5630700043, ss5821415193, ss5848531843, ss5956943119	NC_000002.11:198365787:C:T	NC_000002.12:197501063:C:T	(self)
16217148, 87060038, 1985500, 6207694, 20453781, 343831383, 3303389147, ss2238053433, ss3024299040, ss3705768599, ss3802290645, ss3949829693, ss4540008504, ss5251578845, ss5451238152, ss5528691213, ss5686616677, ss5803116626, ss5852902914, ss5934183990	NC_000002.12:197501063:C:T	NC_000002.12:197501063:C:T	(self)
ss3252834, ss75137152, ss119430574, ss154543592, ss173280404	NT_005403.17:48575205:C:T	NC_000002.12:197501063:C:T	(self)

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

1 citation for rs2305560

PMID	Title	Author	Year	Journal
18320357	Genetic variation in heat shock protein 60 gene and coronary heart disease in China: tagging-SNP haplotype analysis in a case-control study.	He MA et al.	2008	Cell stress & chaperones

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

rs2305560