Name: rs34009
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.

rs34009

Current Build 156

Released September 21, 2022

Organism: Homo sapiens
Position: chr5:142601255 (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>C / G>T
Variation Type: SNV Single Nucleotide Variation
Frequency: T=0.300653 (80818/268808, ALFA)
T=0.231414 (61253/264690, TOPMED)
T=0.18421 (14491/78664, PAGE_STUDY) (+ 20 more)
T=0.32865 (9287/28258, 14KJPN)
T=0.33288 (5579/16760, 8.3KJPN)
T=0.2269 (1453/6404, 1000G_30x)
T=0.3862 (1730/4480, Estonian)
T=0.3306 (1274/3854, ALSPAC)
T=0.3209 (1190/3708, TWINSUK)
T=0.3410 (999/2930, KOREAN)
T=0.2529 (527/2084, HGDP_Stanford)
T=0.2151 (407/1892, HapMap)
T=0.3341 (612/1832, Korea1K)
T=0.365 (364/998, GoNL)
T=0.316 (250/792, PRJEB37584)
T=0.343 (206/600, NorthernSweden)
T=0.272 (145/534, MGP)
T=0.273 (59/216, Qatari)
T=0.248 (53/214, Vietnamese)
G=0.438 (92/210, SGDP_PRJ)
T=0.33 (18/54, Ancient Sardinia)
T=0.33 (13/40, GENOME_DK)
G=0.42 (16/38, Siberian)

Clinical Significance: Not Reported in ClinVar
Gene : Consequence: FGF1 : Intron Variant
Publications: 0 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	268808	G=0.699347	C=0.000000, T=0.300653
European	Sub	236956	G=0.687638	C=0.000000, T=0.312362
African	Sub	7218	G=0.9099	C=0.0000, T=0.0901
African Others	Sub	298	G=0.953	C=0.000, T=0.047
African American	Sub	6920	G=0.9081	C=0.0000, T=0.0919
Asian	Sub	3790	G=0.6905	C=0.0000, T=0.3095
East Asian	Sub	3060	G=0.6716	C=0.0000, T=0.3284
Other Asian	Sub	730	G=0.770	C=0.000, T=0.230
Latin American 1	Sub	1072	G=0.7920	C=0.0000, T=0.2080
Latin American 2	Sub	6996	G=0.8413	C=0.0000, T=0.1587
South Asian	Sub	5166	G=0.6880	C=0.0000, T=0.3120
Other	Sub	7610	G=0.7327	C=0.0000, T=0.2673

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
Allele Frequency Aggregator	Total	Global	268808	G=0.699347	C=0.000000, T=0.300653
Allele Frequency Aggregator	European	Sub	236956	G=0.687638	C=0.000000, T=0.312362
Allele Frequency Aggregator	Other	Sub	7610	G=0.7327	C=0.0000, T=0.2673
Allele Frequency Aggregator	African	Sub	7218	G=0.9099	C=0.0000, T=0.0901
Allele Frequency Aggregator	Latin American 2	Sub	6996	G=0.8413	C=0.0000, T=0.1587
Allele Frequency Aggregator	South Asian	Sub	5166	G=0.6880	C=0.0000, T=0.3120
Allele Frequency Aggregator	Asian	Sub	3790	G=0.6905	C=0.0000, T=0.3095
Allele Frequency Aggregator	Latin American 1	Sub	1072	G=0.7920	C=0.0000, T=0.2080
TopMed	Global	Study-wide	264690	G=0.768586	T=0.231414
The PAGE Study	Global	Study-wide	78664	G=0.81579	T=0.18421
The PAGE Study	AfricanAmerican	Sub	32504	G=0.87432	T=0.12568
The PAGE Study	Mexican	Sub	10800	G=0.82546	T=0.17454
The PAGE Study	Asian	Sub	8312	G=0.6817	T=0.3183
The PAGE Study	PuertoRican	Sub	7914	G=0.8235	T=0.1765
The PAGE Study	NativeHawaiian	Sub	4532	G=0.6975	T=0.3025
The PAGE Study	Cuban	Sub	4230	G=0.7584	T=0.2416
The PAGE Study	Dominican	Sub	3826	G=0.8178	T=0.1822
The PAGE Study	CentralAmerican	Sub	2448	G=0.8333	T=0.1667
The PAGE Study	SouthAmerican	Sub	1982	G=0.8163	T=0.1837
The PAGE Study	NativeAmerican	Sub	1260	G=0.7198	T=0.2802
The PAGE Study	SouthAsian	Sub	856	G=0.693	T=0.307
14KJPN	JAPANESE	Study-wide	28258	G=0.67135	T=0.32865
8.3KJPN	JAPANESE	Study-wide	16760	G=0.66712	T=0.33288
1000Genomes_30x	Global	Study-wide	6404	G=0.7730	C=0.0002, T=0.2269
1000Genomes_30x	African	Sub	1786	G=0.9188	C=0.0006, T=0.0806
1000Genomes_30x	Europe	Sub	1266	G=0.6991	C=0.0000, T=0.3009
1000Genomes_30x	South Asian	Sub	1202	G=0.6622	C=0.0000, T=0.3378
1000Genomes_30x	East Asian	Sub	1170	G=0.6932	C=0.0000, T=0.3068
1000Genomes_30x	American	Sub	980	G=0.834	C=0.000, T=0.166
Genetic variation in the Estonian population	Estonian	Study-wide	4480	G=0.6138	T=0.3862
The Avon Longitudinal Study of Parents and Children	PARENT AND CHILD COHORT	Study-wide	3854	G=0.6694	T=0.3306
UK 10K study - Twins	TWIN COHORT	Study-wide	3708	G=0.6791	T=0.3209
KOREAN population from KRGDB	KOREAN	Study-wide	2930	G=0.6590	T=0.3410
HGDP-CEPH-db Supplement 1	Global	Study-wide	2084	G=0.7471	T=0.2529
HGDP-CEPH-db Supplement 1	Est_Asia	Sub	470	G=0.655	T=0.345
HGDP-CEPH-db Supplement 1	Central_South_Asia	Sub	414	G=0.688	T=0.312
HGDP-CEPH-db Supplement 1	Middle_Est	Sub	350	G=0.709	T=0.291
HGDP-CEPH-db Supplement 1	Europe	Sub	320	G=0.697	T=0.303
HGDP-CEPH-db Supplement 1	Africa	Sub	242	G=0.963	T=0.037
HGDP-CEPH-db Supplement 1	America	Sub	216	G=0.972	T=0.028
HGDP-CEPH-db Supplement 1	Oceania	Sub	72	G=0.69	T=0.31
HapMap	Global	Study-wide	1892	G=0.7849	T=0.2151
HapMap	American	Sub	770	G=0.725	T=0.275
HapMap	African	Sub	692	G=0.905	T=0.095
HapMap	Asian	Sub	254	G=0.654	T=0.346
HapMap	Europe	Sub	176	G=0.767	T=0.233
Korean Genome Project	KOREAN	Study-wide	1832	G=0.6659	T=0.3341
Genome of the Netherlands Release 5	Genome of the Netherlands	Study-wide	998	G=0.635	T=0.365
CNV burdens in cranial meningiomas	Global	Study-wide	792	G=0.684	T=0.316
CNV burdens in cranial meningiomas	CRM	Sub	792	G=0.684	T=0.316
Northern Sweden	ACPOP	Study-wide	600	G=0.657	T=0.343
Medical Genome Project healthy controls from Spanish population	Spanish controls	Study-wide	534	G=0.728	T=0.272
Qatari	Global	Study-wide	216	G=0.727	T=0.273
A Vietnamese Genetic Variation Database	Global	Study-wide	214	G=0.752	T=0.248
SGDP_PRJ	Global	Study-wide	210	G=0.438	T=0.562
Ancient Sardinia genome-wide 1240k capture data generation and analysis	Global	Study-wide	54	G=0.67	T=0.33
The Danish reference pan genome	Danish	Study-wide	40	G=0.68	T=0.33
Siberian	Global	Study-wide	38	G=0.42	T=0.58

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 5	NC_000005.10:g.142601255G>C
GRCh38.p14 chr 5	NC_000005.10:g.142601255G>T
GRCh37.p13 chr 5	NC_000005.9:g.141980820G>C
GRCh37.p13 chr 5	NC_000005.9:g.141980820G>T

Gene: FGF1, fibroblast growth factor 1 (minus strand)

Molecule type	Change	Amino acid[Codon]	SO Term
FGF1 transcript variant 1	NM_000800.5:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 4	NM_001144892.3:c.170-450C… NM_001144892.3:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 5	NM_001144934.2:c.170-450C… NM_001144934.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 6	NM_001144935.2:c.170-450C… NM_001144935.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 7	NM_001257205.1:c.170-450C… NM_001257205.1:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 8	NM_001257206.2:c.170-450C… NM_001257206.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 9	NM_001257207.2:c.170-450C… NM_001257207.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 10	NM_001257208.2:c.170-450C… NM_001257208.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 11	NM_001257209.1:c.170-450C… NM_001257209.1:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 12	NM_001257210.2:c.170-450C… NM_001257210.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 13	NM_001257211.2:c.170-450C… NM_001257211.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 14	NM_001257212.2:c.170-450C… NM_001257212.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 15	NM_001354951.2:c.170-450C… NM_001354951.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 16	NM_001354952.2:c.170-450C… NM_001354952.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 17	NM_001354953.2:c.170-450C… NM_001354953.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 18	NM_001354954.2:c.170-450C… NM_001354954.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 19	NM_001354955.2:c.170-450C… NM_001354955.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 20	NM_001354956.2:c.170-450C… NM_001354956.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 21	NM_001354957.2:c.170-450C… NM_001354957.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 22	NM_001354958.2:c.170-450C… NM_001354958.2:c.170-450C>G	N/A	Intron Variant
FGF1 transcript variant 23	NM_001354959.2:c.170-5771… NM_001354959.2:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 24	NM_001354961.2:c.170-5771… NM_001354961.2:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 25	NM_001354962.2:c.170-5771… NM_001354962.2:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 26	NM_001354963.2:c.170-5771… NM_001354963.2:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 27	NM_001354964.2:c.170-5771… NM_001354964.2:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 2	NM_033136.4:c.170-5771C>G	N/A	Intron Variant
FGF1 transcript variant 3	NM_033137.4:c.170-5774C>G	N/A	Intron 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	G=	C	T
GRCh38.p14 chr 5	NC_000005.10:g.142601255=	NC_000005.10:g.142601255G>C	NC_000005.10:g.142601255G>T
GRCh37.p13 chr 5	NC_000005.9:g.141980820=	NC_000005.9:g.141980820G>C	NC_000005.9:g.141980820G>T
FGF1 transcript variant 1	NM_000800.4:c.170-450=	NM_000800.4:c.170-450C>G	NM_000800.4:c.170-450C>A
FGF1 transcript variant 1	NM_000800.5:c.170-450=	NM_000800.5:c.170-450C>G	NM_000800.5:c.170-450C>A
FGF1 transcript variant 4	NM_001144892.2:c.170-450=	NM_001144892.2:c.170-450C>G	NM_001144892.2:c.170-450C>A
FGF1 transcript variant 4	NM_001144892.3:c.170-450=	NM_001144892.3:c.170-450C>G	NM_001144892.3:c.170-450C>A
FGF1 transcript variant 5	NM_001144934.1:c.170-450=	NM_001144934.1:c.170-450C>G	NM_001144934.1:c.170-450C>A
FGF1 transcript variant 5	NM_001144934.2:c.170-450=	NM_001144934.2:c.170-450C>G	NM_001144934.2:c.170-450C>A
FGF1 transcript variant 6	NM_001144935.1:c.170-450=	NM_001144935.1:c.170-450C>G	NM_001144935.1:c.170-450C>A
FGF1 transcript variant 6	NM_001144935.2:c.170-450=	NM_001144935.2:c.170-450C>G	NM_001144935.2:c.170-450C>A
FGF1 transcript variant 7	NM_001257205.1:c.170-450=	NM_001257205.1:c.170-450C>G	NM_001257205.1:c.170-450C>A
FGF1 transcript variant 8	NM_001257206.1:c.170-450=	NM_001257206.1:c.170-450C>G	NM_001257206.1:c.170-450C>A
FGF1 transcript variant 8	NM_001257206.2:c.170-450=	NM_001257206.2:c.170-450C>G	NM_001257206.2:c.170-450C>A
FGF1 transcript variant 9	NM_001257207.1:c.170-450=	NM_001257207.1:c.170-450C>G	NM_001257207.1:c.170-450C>A
FGF1 transcript variant 9	NM_001257207.2:c.170-450=	NM_001257207.2:c.170-450C>G	NM_001257207.2:c.170-450C>A
FGF1 transcript variant 10	NM_001257208.1:c.170-450=	NM_001257208.1:c.170-450C>G	NM_001257208.1:c.170-450C>A
FGF1 transcript variant 10	NM_001257208.2:c.170-450=	NM_001257208.2:c.170-450C>G	NM_001257208.2:c.170-450C>A
FGF1 transcript variant 11	NM_001257209.1:c.170-450=	NM_001257209.1:c.170-450C>G	NM_001257209.1:c.170-450C>A
FGF1 transcript variant 12	NM_001257210.1:c.170-450=	NM_001257210.1:c.170-450C>G	NM_001257210.1:c.170-450C>A
FGF1 transcript variant 12	NM_001257210.2:c.170-450=	NM_001257210.2:c.170-450C>G	NM_001257210.2:c.170-450C>A
FGF1 transcript variant 13	NM_001257211.1:c.170-450=	NM_001257211.1:c.170-450C>G	NM_001257211.1:c.170-450C>A
FGF1 transcript variant 13	NM_001257211.2:c.170-450=	NM_001257211.2:c.170-450C>G	NM_001257211.2:c.170-450C>A
FGF1 transcript variant 14	NM_001257212.1:c.170-450=	NM_001257212.1:c.170-450C>G	NM_001257212.1:c.170-450C>A
FGF1 transcript variant 14	NM_001257212.2:c.170-450=	NM_001257212.2:c.170-450C>G	NM_001257212.2:c.170-450C>A
FGF1 transcript variant 15	NM_001354951.2:c.170-450=	NM_001354951.2:c.170-450C>G	NM_001354951.2:c.170-450C>A
FGF1 transcript variant 16	NM_001354952.2:c.170-450=	NM_001354952.2:c.170-450C>G	NM_001354952.2:c.170-450C>A
FGF1 transcript variant 17	NM_001354953.2:c.170-450=	NM_001354953.2:c.170-450C>G	NM_001354953.2:c.170-450C>A
FGF1 transcript variant 18	NM_001354954.2:c.170-450=	NM_001354954.2:c.170-450C>G	NM_001354954.2:c.170-450C>A
FGF1 transcript variant 19	NM_001354955.2:c.170-450=	NM_001354955.2:c.170-450C>G	NM_001354955.2:c.170-450C>A
FGF1 transcript variant 20	NM_001354956.2:c.170-450=	NM_001354956.2:c.170-450C>G	NM_001354956.2:c.170-450C>A
FGF1 transcript variant 21	NM_001354957.2:c.170-450=	NM_001354957.2:c.170-450C>G	NM_001354957.2:c.170-450C>A
FGF1 transcript variant 22	NM_001354958.2:c.170-450=	NM_001354958.2:c.170-450C>G	NM_001354958.2:c.170-450C>A
FGF1 transcript variant 23	NM_001354959.2:c.170-5771=	NM_001354959.2:c.170-5771C>G	NM_001354959.2:c.170-5771C>A
FGF1 transcript variant 24	NM_001354961.2:c.170-5771=	NM_001354961.2:c.170-5771C>G	NM_001354961.2:c.170-5771C>A
FGF1 transcript variant 25	NM_001354962.2:c.170-5771=	NM_001354962.2:c.170-5771C>G	NM_001354962.2:c.170-5771C>A
FGF1 transcript variant 26	NM_001354963.2:c.170-5771=	NM_001354963.2:c.170-5771C>G	NM_001354963.2:c.170-5771C>A
FGF1 transcript variant 27	NM_001354964.2:c.170-5771=	NM_001354964.2:c.170-5771C>G	NM_001354964.2:c.170-5771C>A
FGF1 transcript variant 2	NM_033136.3:c.170-5771=	NM_033136.3:c.170-5771C>G	NM_033136.3:c.170-5771C>A
FGF1 transcript variant 2	NM_033136.4:c.170-5771=	NM_033136.4:c.170-5771C>G	NM_033136.4:c.170-5771C>A
FGF1 transcript variant 3	NM_033137.2:c.170-5774=	NM_033137.2:c.170-5774C>G	NM_033137.2:c.170-5774C>A
FGF1 transcript variant 3	NM_033137.4:c.170-5774=	NM_033137.4:c.170-5774C>G	NM_033137.4:c.170-5774C>A
FGF1 transcript variant X1	XM_005268389.1:c.170-450=	XM_005268389.1:c.170-450C>G	XM_005268389.1:c.170-450C>A
FGF1 transcript variant X2	XM_005268390.1:c.170-450=	XM_005268390.1:c.170-450C>G	XM_005268390.1:c.170-450C>A

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#.

133 SubSNP, 25 Frequency submissions

No	Submitter	Submission ID	Date (Build)
1	KWOK	ss36651	May 08, 2000 (76)
2	KWOK	ss323703	Jul 12, 2000 (85)
3	SC_JCM	ss486630	Jul 16, 2000 (85)
4	KWOK	ss1237775	Oct 13, 2000 (87)
5	KWOK	ss1273689	Oct 13, 2000 (87)
6	KWOK	ss1750955	Oct 18, 2000 (87)
7	YUSUKE	ss3221973	Sep 28, 2001 (100)
8	CSHL-HAPMAP	ss17090152	Feb 27, 2004 (120)
9	EGP_SNPS	ss23140734	Sep 20, 2004 (126)
10	PERLEGEN	ss24668156	Sep 20, 2004 (123)
11	ABI	ss44586298	Mar 11, 2006 (126)
12	ILLUMINA	ss66809600	Dec 01, 2006 (127)
13	ILLUMINA	ss67294741	Dec 01, 2006 (127)
14	ILLUMINA	ss67698842	Dec 01, 2006 (127)
15	ILLUMINA	ss70773356	May 26, 2008 (130)
16	ILLUMINA	ss71348998	May 17, 2007 (127)
17	ILLUMINA	ss75821780	Dec 07, 2007 (129)
18	ILLUMINA	ss79161370	Dec 15, 2007 (130)
19	KRIBB_YJKIM	ss83356572	Dec 15, 2007 (130)
20	BCMHGSC_JDW	ss93273320	Mar 24, 2008 (129)
21	ILLUMINA	ss122188183	Dec 01, 2009 (131)
22	ENSEMBL	ss143493075	Dec 01, 2009 (131)
23	ILLUMINA	ss154258878	Dec 01, 2009 (131)
24	GMI	ss156108458	Dec 01, 2009 (131)
25	ILLUMINA	ss159435320	Dec 01, 2009 (131)
26	ILLUMINA	ss160619417	Dec 01, 2009 (131)
27	COMPLETE_GENOMICS	ss167158546	Jul 04, 2010 (132)
28	ILLUMINA	ss171576081	Jul 04, 2010 (132)
29	ILLUMINA	ss173583774	Jul 04, 2010 (132)
30	1000GENOMES	ss211726275	Jul 14, 2010 (132)
31	1000GENOMES	ss222003809	Jul 14, 2010 (132)
32	1000GENOMES	ss233176125	Jul 14, 2010 (132)
33	1000GENOMES	ss240291383	Jul 15, 2010 (132)
34	GMI	ss278507166	May 04, 2012 (137)
35	GMI	ss285274976	Apr 25, 2013 (138)
36	PJP	ss293474030	May 09, 2011 (134)
37	ILLUMINA	ss480777899	May 04, 2012 (137)
38	ILLUMINA	ss480793764	May 04, 2012 (137)
39	ILLUMINA	ss481692313	Sep 08, 2015 (146)
40	ILLUMINA	ss485183671	May 04, 2012 (137)
41	ILLUMINA	ss537172079	Sep 08, 2015 (146)
42	SSMP	ss652658665	Apr 25, 2013 (138)
43	ILLUMINA	ss778518490	Sep 08, 2015 (146)
44	ILLUMINA	ss783037999	Sep 08, 2015 (146)
45	ILLUMINA	ss783997463	Sep 08, 2015 (146)
46	ILLUMINA	ss825491888	Apr 01, 2015 (144)
47	ILLUMINA	ss832295698	Sep 08, 2015 (146)
48	ILLUMINA	ss832946911	Jul 13, 2019 (153)
49	ILLUMINA	ss833974850	Sep 08, 2015 (146)
50	EVA-GONL	ss982200209	Aug 21, 2014 (142)
51	JMKIDD_LAB	ss1073095521	Aug 21, 2014 (142)
52	DDI	ss1430523583	Apr 01, 2015 (144)
53	EVA_GENOME_DK	ss1581378994	Apr 01, 2015 (144)
54	EVA_DECODE	ss1591729968	Apr 01, 2015 (144)
55	EVA_UK10K_ALSPAC	ss1614172518	Apr 01, 2015 (144)
56	EVA_UK10K_TWINSUK	ss1657166551	Apr 01, 2015 (144)
57	EVA_MGP	ss1711100852	Apr 01, 2015 (144)
58	EVA_SVP	ss1712805615	Apr 01, 2015 (144)
59	ILLUMINA	ss1752553090	Sep 08, 2015 (146)
60	WEILL_CORNELL_DGM	ss1925454684	Feb 12, 2016 (147)
61	ILLUMINA	ss1958829787	Feb 12, 2016 (147)
62	GENOMED	ss1970223726	Jul 19, 2016 (147)
63	JJLAB	ss2023333294	Sep 14, 2016 (149)
64	USC_VALOUEV	ss2151491713	Dec 20, 2016 (150)
65	HUMAN_LONGEVITY	ss2278788092	Dec 20, 2016 (150)
66	SYSTEMSBIOZJU	ss2626154274	Nov 08, 2017 (151)
67	ILLUMINA	ss2634349019	Nov 08, 2017 (151)
68	GRF	ss2707057352	Nov 08, 2017 (151)
69	ILLUMINA	ss2710663091	Nov 08, 2017 (151)
70	GNOMAD	ss2831648159	Nov 08, 2017 (151)
71	SWEGEN	ss2997913410	Nov 08, 2017 (151)
72	BIOINF_KMB_FNS_UNIBA	ss3025449025	Nov 08, 2017 (151)
73	CSHL	ss3346659866	Nov 08, 2017 (151)
74	ILLUMINA	ss3625885256	Oct 12, 2018 (152)
75	ILLUMINA	ss3629358414	Oct 12, 2018 (152)
76	ILLUMINA	ss3632272531	Oct 12, 2018 (152)
77	ILLUMINA	ss3633392211	Oct 12, 2018 (152)
78	ILLUMINA	ss3634113526	Oct 12, 2018 (152)
79	ILLUMINA	ss3635026056	Oct 12, 2018 (152)
80	ILLUMINA	ss3635795210	Oct 12, 2018 (152)
81	ILLUMINA	ss3636738967	Oct 12, 2018 (152)
82	ILLUMINA	ss3637547863	Oct 12, 2018 (152)
83	ILLUMINA	ss3638585050	Oct 12, 2018 (152)
84	ILLUMINA	ss3639294783	Oct 12, 2018 (152)
85	ILLUMINA	ss3639671717	Oct 12, 2018 (152)
86	ILLUMINA	ss3640733350	Oct 12, 2018 (152)
87	ILLUMINA	ss3641185967	Oct 12, 2018 (152)
88	ILLUMINA	ss3641482971	Oct 12, 2018 (152)
89	ILLUMINA	ss3643528710	Oct 12, 2018 (152)
90	ILLUMINA	ss3644890917	Oct 12, 2018 (152)
91	OMUKHERJEE_ADBS	ss3646325881	Oct 12, 2018 (152)
92	EGCUT_WGS	ss3665829662	Jul 13, 2019 (153)
93	EVA_DECODE	ss3715846677	Jul 13, 2019 (153)
94	ACPOP	ss3732879803	Jul 13, 2019 (153)
95	ILLUMINA	ss3744260861	Jul 13, 2019 (153)
96	ILLUMINA	ss3745326242	Jul 13, 2019 (153)
97	EVA	ss3764152606	Jul 13, 2019 (153)
98	PAGE_CC	ss3771236583	Jul 13, 2019 (153)
99	ILLUMINA	ss3772820209	Jul 13, 2019 (153)
100	PACBIO	ss3785269702	Jul 13, 2019 (153)
101	PACBIO	ss3790649490	Jul 13, 2019 (153)
102	PACBIO	ss3795526476	Jul 13, 2019 (153)
103	KHV_HUMAN_GENOMES	ss3807322355	Jul 13, 2019 (153)
104	EVA	ss3829539642	Apr 26, 2020 (154)
105	EVA	ss3838244285	Apr 26, 2020 (154)
106	EVA	ss3843687098	Apr 26, 2020 (154)
107	HGDP	ss3847809162	Apr 26, 2020 (154)
108	SGDP_PRJ	ss3863128467	Apr 26, 2020 (154)
109	KRGDB	ss3909793210	Apr 26, 2020 (154)
110	KOGIC	ss3957791766	Apr 26, 2020 (154)
111	FSA-LAB	ss3984318747	Apr 26, 2021 (155)
112	EVA	ss3984555456	Apr 26, 2021 (155)
113	EVA	ss3985174421	Apr 26, 2021 (155)
114	EVA	ss3986322843	Apr 26, 2021 (155)
115	TOPMED	ss4681375408	Apr 26, 2021 (155)
116	TOMMO_GENOMICS	ss5174486353	Apr 26, 2021 (155)
117	EVA	ss5237187564	Apr 26, 2021 (155)
118	1000G_HIGH_COVERAGE	ss5266107102	Oct 17, 2022 (156)
119	EVA	ss5315091207	Oct 17, 2022 (156)
120	EVA	ss5361448331	Oct 17, 2022 (156)
121	HUGCELL_USP	ss5464045732	Oct 17, 2022 (156)
122	1000G_HIGH_COVERAGE	ss5550891513	Oct 17, 2022 (156)
123	EVA	ss5624151047	Oct 17, 2022 (156)
124	SANFORD_IMAGENETICS	ss5639028607	Oct 17, 2022 (156)
125	TOMMO_GENOMICS	ss5711667357	Oct 17, 2022 (156)
126	EVA	ss5799664148	Oct 17, 2022 (156)
127	YY_MCH	ss5806827576	Oct 17, 2022 (156)
128	EVA	ss5835744702	Oct 17, 2022 (156)
129	EVA	ss5848067684	Oct 17, 2022 (156)
130	EVA	ss5848636998	Oct 17, 2022 (156)
131	EVA	ss5855046216	Oct 17, 2022 (156)
132	EVA	ss5896627270	Oct 17, 2022 (156)
133	EVA	ss5967503609	Oct 17, 2022 (156)
134	1000Genomes_30x	NC_000005.10 - 142601255	Oct 17, 2022 (156)
135	The Avon Longitudinal Study of Parents and Children	NC_000005.9 - 141980820	Oct 12, 2018 (152)
136	Genetic variation in the Estonian population	NC_000005.9 - 141980820	Oct 12, 2018 (152)
137	The Danish reference pan genome	NC_000005.9 - 141980820	Apr 26, 2020 (154)
138	gnomAD - Genomes Submission ignored due to conflicting rows: Row 206613396 (NC_000005.10:142601254:G:C 38/140090) Row 206613397 (NC_000005.10:142601254:G:T 34870/140036)	-	Apr 26, 2021 (155)
139	gnomAD - Genomes Submission ignored due to conflicting rows: Row 206613396 (NC_000005.10:142601254:G:C 38/140090) Row 206613397 (NC_000005.10:142601254:G:T 34870/140036)	-	Apr 26, 2021 (155)
140	Genome of the Netherlands Release 5	NC_000005.9 - 141980820	Apr 26, 2020 (154)
141	HGDP-CEPH-db Supplement 1	NC_000005.8 - 141961004	Apr 26, 2020 (154)
142	HapMap	NC_000005.10 - 142601255	Apr 26, 2020 (154)
143	KOREAN population from KRGDB	NC_000005.9 - 141980820	Apr 26, 2020 (154)
144	Korean Genome Project	NC_000005.10 - 142601255	Apr 26, 2020 (154)
145	Medical Genome Project healthy controls from Spanish population	NC_000005.9 - 141980820	Apr 26, 2020 (154)
146	Northern Sweden	NC_000005.9 - 141980820	Jul 13, 2019 (153)
147	The PAGE Study	NC_000005.10 - 142601255	Jul 13, 2019 (153)
148	Ancient Sardinia genome-wide 1240k capture data generation and analysis	NC_000005.9 - 141980820	Apr 26, 2021 (155)
149	CNV burdens in cranial meningiomas	NC_000005.9 - 141980820	Apr 26, 2021 (155)
150	Qatari	NC_000005.9 - 141980820	Apr 26, 2020 (154)
151	SGDP_PRJ	NC_000005.9 - 141980820	Apr 26, 2020 (154)
152	Siberian	NC_000005.9 - 141980820	Apr 26, 2020 (154)
153	8.3KJPN	NC_000005.9 - 141980820	Apr 26, 2021 (155)
154	14KJPN	NC_000005.10 - 142601255	Oct 17, 2022 (156)
155	TopMed	NC_000005.10 - 142601255	Apr 26, 2021 (155)
156	UK 10K study - Twins	NC_000005.9 - 141980820	Oct 12, 2018 (152)
157	A Vietnamese Genetic Variation Database	NC_000005.9 - 141980820	Jul 13, 2019 (153)
158	ALFA	NC_000005.10 - 142601255	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)
rs250097	Sep 19, 2000 (85)
rs1071238	Oct 23, 2000 (87)
rs17217352	Mar 11, 2006 (126)
rs17540877	Oct 08, 2004 (123)
rs60782037	May 26, 2008 (130)
rs117272280	Aug 16, 2010 (132)
rs386582068	Aug 21, 2014 (142)

Added to this RefSNP Cluster:

Submission IDs	Observation SPDI	Canonical SPDI	Source RSIDs
ss2831648159	NC_000005.9:141980819:G:C	NC_000005.10:142601254:G:C	(self)
38417448, 8446605514, ss2278788092, ss5550891513	NC_000005.10:142601254:G:C	NC_000005.10:142601254:G:C	(self)
ss23140734, ss83356572	NT_029289.11:3143746:G:C	NC_000005.10:142601254:G:C	(self)
487054, ss93273320, ss167158546, ss211726275, ss278507166, ss285274976, ss293474030, ss480777899, ss825491888, ss1591729968, ss1712805615, ss2710663091, ss3639294783, ss3639671717, ss3643528710, ss3847809162	NC_000005.8:141961003:G:T	NC_000005.10:142601254:G:T	(self)
16247719, 11567910, 7543933, 7216868, 16970604, 216612, 6164668, 400348, 104828, 7496614, 15145447, 4008067, 32455660, 16247719, 3600212, ss222003809, ss233176125, ss240291383, ss480793764, ss481692313, ss485183671, ss537172079, ss652658665, ss778518490, ss783037999, ss783997463, ss832295698, ss832946911, ss833974850, ss982200209, ss1073095521, ss1430523583, ss1581378994, ss1614172518, ss1657166551, ss1711100852, ss1752553090, ss1925454684, ss1958829787, ss1970223726, ss2023333294, ss2151491713, ss2626154274, ss2634349019, ss2707057352, ss2831648159, ss2997913410, ss3346659866, ss3625885256, ss3629358414, ss3632272531, ss3633392211, ss3634113526, ss3635026056, ss3635795210, ss3636738967, ss3637547863, ss3638585050, ss3640733350, ss3641185967, ss3641482971, ss3644890917, ss3646325881, ss3665829662, ss3732879803, ss3744260861, ss3745326242, ss3764152606, ss3772820209, ss3785269702, ss3790649490, ss3795526476, ss3829539642, ss3838244285, ss3863128467, ss3909793210, ss3984318747, ss3984555456, ss3985174421, ss3986322843, ss5174486353, ss5315091207, ss5361448331, ss5624151047, ss5639028607, ss5799664148, ss5835744702, ss5848067684, ss5848636998, ss5967503609	NC_000005.9:141980819:G:T	NC_000005.10:142601254:G:T	(self)
38417448, 2982371, 14169767, 458052, 45504461, 518752965, 8446605514, ss2278788092, ss3025449025, ss3715846677, ss3771236583, ss3807322355, ss3843687098, ss3957791766, ss4681375408, ss5237187564, ss5266107102, ss5464045732, ss5550891513, ss5711667357, ss5806827576, ss5855046216, ss5896627270	NC_000005.10:142601254:G:T	NC_000005.10:142601254:G:T	(self)
ss17090152	NT_029289.10:3143746:G:T	NC_000005.10:142601254:G:T	(self)
ss36651, ss323703, ss486630, ss1237775, ss1273689, ss1750955, ss3221973, ss23140734, ss24668156, ss44586298, ss66809600, ss67294741, ss67698842, ss70773356, ss71348998, ss75821780, ss79161370, ss83356572, ss122188183, ss143493075, ss154258878, ss156108458, ss159435320, ss160619417, ss171576081, ss173583774	NT_029289.11:3143746:G:T	NC_000005.10:142601254:G:T	(self)

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

No publications for rs34009

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

rs34009