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.
rs2297630
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr10:44376100 (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=0.216298 (57252/264690, TOPMED)A=0.249354 (49385/198052, ALFA)A=0.13961 (3945/28258, 14KJPN) (+ 20 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- CXCL12 : Intron Variant
- Publications
- 14 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.
| Population | Group | Sample Size | Ref Allele | Alt Allele |
|---|---|---|---|---|
| Total | Global | 198052 | G=0.750646 | A=0.249354, C=0.000000 |
| European | Sub | 171720 | G=0.748544 | A=0.251456, C=0.000000 |
| African | Sub | 6874 | G=0.9572 | A=0.0428, C=0.0000 |
| African Others | Sub | 256 | G=0.988 | A=0.012, C=0.000 |
| African American | Sub | 6618 | G=0.9560 | A=0.0440, C=0.0000 |
| Asian | Sub | 672 | G=0.893 | A=0.107, C=0.000 |
| East Asian | Sub | 532 | G=0.897 | A=0.103, C=0.000 |
| Other Asian | Sub | 140 | G=0.879 | A=0.121, C=0.000 |
| Latin American 1 | Sub | 786 | G=0.754 | A=0.246, C=0.000 |
| Latin American 2 | Sub | 6476 | G=0.5513 | A=0.4487, C=0.0000 |
| South Asian | Sub | 4996 | G=0.7634 | A=0.2366, C=0.0000 |
| Other | Sub | 6528 | G=0.7613 | A=0.2387, C=0.0000 |
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=0.783702 | A=0.216298 |
| Allele Frequency Aggregator | Total | Global | 198052 | G=0.750646 | A=0.249354, C=0.000000 |
| Allele Frequency Aggregator | European | Sub | 171720 | G=0.748544 | A=0.251456, C=0.000000 |
| Allele Frequency Aggregator | African | Sub | 6874 | G=0.9572 | A=0.0428, C=0.0000 |
| Allele Frequency Aggregator | Other | Sub | 6528 | G=0.7613 | A=0.2387, C=0.0000 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 6476 | G=0.5513 | A=0.4487, C=0.0000 |
| Allele Frequency Aggregator | South Asian | Sub | 4996 | G=0.7634 | A=0.2366, C=0.0000 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 786 | G=0.754 | A=0.246, C=0.000 |
| Allele Frequency Aggregator | Asian | Sub | 672 | G=0.893 | A=0.107, C=0.000 |
| 14KJPN | JAPANESE | Study-wide | 28258 | G=0.86039 | A=0.13961 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | G=0.86229 | A=0.13771 |
| 1000Genomes_30x | Global | Study-wide | 6404 | G=0.8118 | A=0.1882 |
| 1000Genomes_30x | African | Sub | 1786 | G=0.9737 | A=0.0263 |
| 1000Genomes_30x | Europe | Sub | 1266 | G=0.7346 | A=0.2654 |
| 1000Genomes_30x | South Asian | Sub | 1202 | G=0.7937 | A=0.2063 |
| 1000Genomes_30x | East Asian | Sub | 1170 | G=0.8718 | A=0.1282 |
| 1000Genomes_30x | American | Sub | 980 | G=0.567 | A=0.433 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.8161 | A=0.1839 |
| 1000Genomes | African | Sub | 1322 | G=0.9758 | A=0.0242 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.8740 | A=0.1260 |
| 1000Genomes | Europe | Sub | 1006 | G=0.7396 | A=0.2604 |
| 1000Genomes | South Asian | Sub | 978 | G=0.796 | A=0.204 |
| 1000Genomes | American | Sub | 694 | G=0.568 | A=0.432 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.7440 | A=0.2560 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.7276 | A=0.2724 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.7371 | A=0.2629 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2922 | G=0.8429 | A=0.1571 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | G=0.7702 | A=0.2298 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | G=0.809 | A=0.191 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | G=0.778 | A=0.222 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | G=0.826 | A=0.174 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | G=0.766 | A=0.234 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | G=0.983 | A=0.017 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | G=0.301 | A=0.699 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | G=0.92 | A=0.08 |
| HapMap | Global | Study-wide | 1892 | G=0.8478 | A=0.1522 |
| HapMap | American | Sub | 770 | G=0.775 | A=0.225 |
| HapMap | African | Sub | 692 | G=0.964 | A=0.036 |
| HapMap | Asian | Sub | 254 | G=0.831 | A=0.169 |
| HapMap | Europe | Sub | 176 | G=0.733 | A=0.267 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.8483 | A=0.1517 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.761 | A=0.239 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 788 | G=0.836 | A=0.164 |
| CNV burdens in cranial meningiomas | CRM | Sub | 788 | G=0.836 | A=0.164 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.695 | A=0.305 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | G=0.762 | A=0.238 |
| Qatari | Global | Study-wide | 216 | G=0.894 | A=0.106 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 216 | G=0.917 | A=0.083 |
| SGDP_PRJ | Global | Study-wide | 180 | G=0.389 | A=0.611 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 68 | G=0.82 | A=0.18 |
| The Danish reference pan genome | Danish | Study-wide | 40 | G=0.70 | A=0.30 |
| Siberian | Global | Study-wide | 18 | G=0.39 | A=0.61 |
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.
| Sequence name | Change |
|---|---|
| GRCh38.p14 chr 10 | NC_000010.11:g.44376100G>A |
| GRCh38.p14 chr 10 | NC_000010.11:g.44376100G>C |
| GRCh38.p14 chr 10 | NC_000010.11:g.44376100G>T |
| GRCh37.p13 chr 10 | NC_000010.10:g.44871548G>A |
| GRCh37.p13 chr 10 | NC_000010.10:g.44871548G>C |
| GRCh37.p13 chr 10 | NC_000010.10:g.44871548G>T |
| CXCL12 RefSeqGene | NG_016861.2:g.13998C>T |
| CXCL12 RefSeqGene | NG_016861.2:g.13998C>G |
| CXCL12 RefSeqGene | NG_016861.2:g.13998C>A |
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| CXCL12 transcript variant 2 | NM_000609.7:c.266+2537C>T | N/A | Intron Variant |
| CXCL12 transcript variant 3 | NM_001033886.2:c.267-68C>T | N/A | Intron Variant |
| CXCL12 transcript variant 5 |
NM_001277990.2:c.110-3010… NM_001277990.2:c.110-3010C>T |
N/A | Intron Variant |
| CXCL12 transcript variant 4 | NM_001178134.2:c. | N/A | Genic Downstream Transcript Variant |
| CXCL12 transcript variant 1 | NM_199168.4: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.
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV001655327.4 | not provided | Benign |
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 10 | NC_000010.11:g.44376100= | NC_000010.11:g.44376100G>A | NC_000010.11:g.44376100G>C | NC_000010.11:g.44376100G>T |
| GRCh37.p13 chr 10 | NC_000010.10:g.44871548= | NC_000010.10:g.44871548G>A | NC_000010.10:g.44871548G>C | NC_000010.10:g.44871548G>T |
| CXCL12 RefSeqGene | NG_016861.2:g.13998= | NG_016861.2:g.13998C>T | NG_016861.2:g.13998C>G | NG_016861.2:g.13998C>A |
| CXCL12 transcript variant 2 | NM_000609.6:c.266+2537= | NM_000609.6:c.266+2537C>T | NM_000609.6:c.266+2537C>G | NM_000609.6:c.266+2537C>A |
| CXCL12 transcript variant 2 | NM_000609.7:c.266+2537= | NM_000609.7:c.266+2537C>T | NM_000609.7:c.266+2537C>G | NM_000609.7:c.266+2537C>A |
| CXCL12 transcript variant 3 | NM_001033886.2:c.267-68= | NM_001033886.2:c.267-68C>T | NM_001033886.2:c.267-68C>G | NM_001033886.2:c.267-68C>A |
| CXCL12 transcript variant 5 | NM_001277990.1:c.110-3010= | NM_001277990.1:c.110-3010C>T | NM_001277990.1:c.110-3010C>G | NM_001277990.1:c.110-3010C>A |
| CXCL12 transcript variant 5 | NM_001277990.2:c.110-3010= | NM_001277990.2:c.110-3010C>T | NM_001277990.2:c.110-3010C>G | NM_001277990.2:c.110-3010C>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#.
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | YUSUKE | ss3242168 | Sep 28, 2001 (100) |
| 2 | WI_SSAHASNP | ss6846756 | Feb 20, 2003 (111) |
| 3 | WI_SSAHASNP | ss12086119 | Jul 11, 2003 (116) |
| 4 | CSHL-HAPMAP | ss19166527 | Feb 27, 2004 (120) |
| 5 | PERLEGEN | ss24457854 | Sep 20, 2004 (123) |
| 6 | PGA-UW-FHCRC | ss32465881 | Dec 02, 2004 (126) |
| 7 | ABI | ss38557826 | Mar 11, 2006 (126) |
| 8 | PGA-UW-FHCRC | ss52086433 | Oct 16, 2006 (127) |
| 9 | ILLUMINA | ss66742659 | Dec 01, 2006 (127) |
| 10 | ILLUMINA | ss67244139 | Dec 01, 2006 (127) |
| 11 | ILLUMINA | ss67641066 | Dec 01, 2006 (127) |
| 12 | ILLUMINA | ss70722476 | May 25, 2008 (130) |
| 13 | ILLUMINA | ss71290983 | May 17, 2007 (127) |
| 14 | AFFY | ss74825000 | Aug 16, 2007 (128) |
| 15 | ILLUMINA | ss75732870 | Dec 06, 2007 (129) |
| 16 | HGSV | ss78619243 | Dec 06, 2007 (129) |
| 17 | ILLUMINA | ss79128024 | Dec 15, 2007 (130) |
| 18 | KRIBB_YJKIM | ss84027341 | Dec 15, 2007 (130) |
| 19 | 1000GENOMES | ss109395469 | Jan 24, 2009 (130) |
| 20 | ILLUMINA | ss121994052 | Dec 01, 2009 (131) |
| 21 | ILLUMINA | ss153901424 | Dec 01, 2009 (131) |
| 22 | ILLUMINA | ss159379234 | Dec 01, 2009 (131) |
| 23 | ILLUMINA | ss160532497 | Dec 01, 2009 (131) |
| 24 | ENSEMBL | ss161338928 | Dec 01, 2009 (131) |
| 25 | ILLUMINA | ss171176971 | Jul 04, 2010 (132) |
| 26 | ILLUMINA | ss173269440 | Jul 04, 2010 (132) |
| 27 | COMPLETE_GENOMICS | ss174513277 | Jul 04, 2010 (132) |
| 28 | BCM-HGSC-SUB | ss207348885 | Jul 04, 2010 (132) |
| 29 | 1000GENOMES | ss235152894 | Jul 15, 2010 (132) |
| 30 | 1000GENOMES | ss241863818 | Jul 15, 2010 (132) |
| 31 | GMI | ss280593330 | May 04, 2012 (137) |
| 32 | PJP | ss291026938 | May 09, 2011 (134) |
| 33 | ILLUMINA | ss410782168 | Sep 17, 2011 (135) |
| 34 | ILLUMINA | ss480519172 | May 04, 2012 (137) |
| 35 | ILLUMINA | ss480533674 | May 04, 2012 (137) |
| 36 | ILLUMINA | ss481344442 | Sep 08, 2015 (146) |
| 37 | ILLUMINA | ss485056926 | May 04, 2012 (137) |
| 38 | ILLUMINA | ss537073488 | Sep 08, 2015 (146) |
| 39 | SSMP | ss656641482 | Apr 25, 2013 (138) |
| 40 | ILLUMINA | ss778491126 | Sep 08, 2015 (146) |
| 41 | ILLUMINA | ss782974681 | Sep 08, 2015 (146) |
| 42 | ILLUMINA | ss783935950 | Sep 08, 2015 (146) |
| 43 | ILLUMINA | ss825458542 | Apr 01, 2015 (144) |
| 44 | ILLUMINA | ss832231061 | Sep 08, 2015 (146) |
| 45 | ILLUMINA | ss832891027 | Jul 13, 2019 (153) |
| 46 | ILLUMINA | ss833947130 | Sep 08, 2015 (146) |
| 47 | EVA-GONL | ss987433797 | Aug 21, 2014 (142) |
| 48 | JMKIDD_LAB | ss1076944727 | Aug 21, 2014 (142) |
| 49 | 1000GENOMES | ss1337226830 | Aug 21, 2014 (142) |
| 50 | DDI | ss1426301200 | Apr 01, 2015 (144) |
| 51 | EVA_GENOME_DK | ss1575078270 | Apr 01, 2015 (144) |
| 52 | EVA_DECODE | ss1597099012 | Apr 01, 2015 (144) |
| 53 | EVA_UK10K_ALSPAC | ss1624467961 | Apr 01, 2015 (144) |
| 54 | EVA_UK10K_TWINSUK | ss1667461994 | Apr 01, 2015 (144) |
| 55 | EVA_MGP | ss1711255163 | Apr 01, 2015 (144) |
| 56 | EVA_SVP | ss1713175342 | Apr 01, 2015 (144) |
| 57 | ILLUMINA | ss1751968907 | Sep 08, 2015 (146) |
| 58 | WEILL_CORNELL_DGM | ss1930783926 | Feb 12, 2016 (147) |
| 59 | GENOMED | ss1967113813 | Jul 19, 2016 (147) |
| 60 | JJLAB | ss2026116269 | Sep 14, 2016 (149) |
| 61 | ILLUMINA | ss2094788002 | Dec 20, 2016 (150) |
| 62 | ILLUMINA | ss2095009577 | Dec 20, 2016 (150) |
| 63 | USC_VALOUEV | ss2154389181 | Dec 20, 2016 (150) |
| 64 | HUMAN_LONGEVITY | ss2174392348 | Dec 20, 2016 (150) |
| 65 | SYSTEMSBIOZJU | ss2627527327 | Nov 08, 2017 (151) |
| 66 | ILLUMINA | ss2632704782 | Nov 08, 2017 (151) |
| 67 | GRF | ss2698625564 | Nov 08, 2017 (151) |
| 68 | GNOMAD | ss2888145789 | Nov 08, 2017 (151) |
| 69 | SWEGEN | ss3006376609 | Nov 08, 2017 (151) |
| 70 | BIOINF_KMB_FNS_UNIBA | ss3026846902 | Nov 08, 2017 (151) |
| 71 | CSHL | ss3349091468 | Nov 08, 2017 (151) |
| 72 | ILLUMINA | ss3625578484 | Oct 12, 2018 (152) |
| 73 | ILLUMINA | ss3626435922 | Oct 12, 2018 (152) |
| 74 | ILLUMINA | ss3630730980 | Oct 12, 2018 (152) |
| 75 | ILLUMINA | ss3632947420 | Oct 12, 2018 (152) |
| 76 | ILLUMINA | ss3633644456 | Oct 12, 2018 (152) |
| 77 | ILLUMINA | ss3634401008 | Oct 12, 2018 (152) |
| 78 | ILLUMINA | ss3635337045 | Oct 12, 2018 (152) |
| 79 | ILLUMINA | ss3636082785 | Oct 12, 2018 (152) |
| 80 | ILLUMINA | ss3637087692 | Oct 12, 2018 (152) |
| 81 | ILLUMINA | ss3637847046 | Oct 12, 2018 (152) |
| 82 | ILLUMINA | ss3638939368 | Oct 12, 2018 (152) |
| 83 | ILLUMINA | ss3639469343 | Oct 12, 2018 (152) |
| 84 | ILLUMINA | ss3640108350 | Oct 12, 2018 (152) |
| 85 | ILLUMINA | ss3641000617 | Oct 12, 2018 (152) |
| 86 | ILLUMINA | ss3641294881 | Oct 12, 2018 (152) |
| 87 | ILLUMINA | ss3642850686 | Oct 12, 2018 (152) |
| 88 | OMUKHERJEE_ADBS | ss3646407806 | Oct 12, 2018 (152) |
| 89 | ILLUMINA | ss3651586973 | Oct 12, 2018 (152) |
| 90 | EGCUT_WGS | ss3673816497 | Jul 13, 2019 (153) |
| 91 | EVA_DECODE | ss3689775606 | Jul 13, 2019 (153) |
| 92 | ACPOP | ss3737273804 | Jul 13, 2019 (153) |
| 93 | ILLUMINA | ss3744701912 | Jul 13, 2019 (153) |
| 94 | EVA | ss3748038806 | Jul 13, 2019 (153) |
| 95 | ILLUMINA | ss3772202502 | Jul 13, 2019 (153) |
| 96 | KHV_HUMAN_GENOMES | ss3813410722 | Jul 13, 2019 (153) |
| 97 | EVA | ss3825774586 | Apr 26, 2020 (154) |
| 98 | EVA | ss3832094096 | Apr 26, 2020 (154) |
| 99 | EVA | ss3839581505 | Apr 26, 2020 (154) |
| 100 | EVA | ss3845053394 | Apr 26, 2020 (154) |
| 101 | HGDP | ss3847383921 | Apr 26, 2020 (154) |
| 102 | SGDP_PRJ | ss3874060106 | Apr 26, 2020 (154) |
| 103 | KRGDB | ss3922125366 | Apr 26, 2020 (154) |
| 104 | KOGIC | ss3967771965 | Apr 26, 2020 (154) |
| 105 | FSA-LAB | ss3983976694 | Apr 26, 2021 (155) |
| 106 | EVA | ss3984633371 | Apr 26, 2021 (155) |
| 107 | EVA | ss3985472114 | Apr 26, 2021 (155) |
| 108 | EVA | ss3986482221 | Apr 26, 2021 (155) |
| 109 | EVA | ss4017482808 | Apr 26, 2021 (155) |
| 110 | TOPMED | ss4850556093 | Apr 26, 2021 (155) |
| 111 | TOMMO_GENOMICS | ss5197369818 | Apr 26, 2021 (155) |
| 112 | 1000G_HIGH_COVERAGE | ss5283831296 | Oct 16, 2022 (156) |
| 113 | EVA | ss5315469125 | Oct 16, 2022 (156) |
| 114 | EVA | ss5393100894 | Oct 16, 2022 (156) |
| 115 | HUGCELL_USP | ss5479468456 | Oct 16, 2022 (156) |
| 116 | 1000G_HIGH_COVERAGE | ss5577660951 | Oct 16, 2022 (156) |
| 117 | EVA | ss5624008474 | Oct 16, 2022 (156) |
| 118 | SANFORD_IMAGENETICS | ss5649167903 | Oct 16, 2022 (156) |
| 119 | TOMMO_GENOMICS | ss5743115395 | Oct 16, 2022 (156) |
| 120 | EVA | ss5799439939 | Oct 16, 2022 (156) |
| 121 | EVA | ss5799810859 | Oct 16, 2022 (156) |
| 122 | YY_MCH | ss5811474677 | Oct 16, 2022 (156) |
| 123 | EVA | ss5824317793 | Oct 16, 2022 (156) |
| 124 | EVA | ss5848297367 | Oct 16, 2022 (156) |
| 125 | EVA | ss5849542118 | Oct 16, 2022 (156) |
| 126 | EVA | ss5878701193 | Oct 16, 2022 (156) |
| 127 | EVA | ss5936544430 | Oct 16, 2022 (156) |
| 128 | EVA | ss5940447428 | Oct 16, 2022 (156) |
| 129 | EVA | ss5981260163 | Oct 16, 2022 (156) |
| 130 | 1000Genomes | NC_000010.10 - 44871548 | Oct 12, 2018 (152) |
| 131 | 1000Genomes_30x | NC_000010.11 - 44376100 | Oct 16, 2022 (156) |
| 132 | The Avon Longitudinal Study of Parents and Children | NC_000010.10 - 44871548 | Oct 12, 2018 (152) |
| 133 | Genetic variation in the Estonian population | NC_000010.10 - 44871548 | Oct 12, 2018 (152) |
| 134 | The Danish reference pan genome | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 135 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
| 136 |
gnomAD - Genomes
Submission ignored due to conflicting rows: |
- | Apr 26, 2021 (155) |
| 137 | Genome of the Netherlands Release 5 | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 138 | HGDP-CEPH-db Supplement 1 | NC_000010.9 - 44191554 | Apr 26, 2020 (154) |
| 139 | HapMap | NC_000010.11 - 44376100 | Apr 26, 2020 (154) |
| 140 | KOREAN population from KRGDB | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 141 | Korean Genome Project | NC_000010.11 - 44376100 | Apr 26, 2020 (154) |
| 142 | Medical Genome Project healthy controls from Spanish population | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 143 | Northern Sweden | NC_000010.10 - 44871548 | Jul 13, 2019 (153) |
| 144 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000010.10 - 44871548 | Apr 26, 2021 (155) |
| 145 | CNV burdens in cranial meningiomas | NC_000010.10 - 44871548 | Apr 26, 2021 (155) |
| 146 | Qatari | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 147 | SGDP_PRJ | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 148 | Siberian | NC_000010.10 - 44871548 | Apr 26, 2020 (154) |
| 149 | 8.3KJPN | NC_000010.10 - 44871548 | Apr 26, 2021 (155) |
| 150 | 14KJPN | NC_000010.11 - 44376100 | Oct 16, 2022 (156) |
| 151 | TopMed | NC_000010.11 - 44376100 | Apr 26, 2021 (155) |
| 152 | UK 10K study - Twins | NC_000010.10 - 44871548 | Oct 12, 2018 (152) |
| 153 | A Vietnamese Genetic Variation Database | NC_000010.10 - 44871548 | Jul 13, 2019 (153) |
| 154 | ALFA | NC_000010.11 - 44376100 | Apr 26, 2021 (155) |
| 155 | ClinVar | RCV001655327.4 | Oct 16, 2022 (156) |
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) |
|---|---|
| rs17447539 | Oct 08, 2004 (123) |
| rs17880933 | Mar 11, 2006 (126) |
| rs52827322 | Sep 21, 2007 (128) |
| rs58932644 | May 25, 2008 (130) |
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss78619243, ss3638939368, ss3639469343 | NC_000010.8:44191553:G:A | NC_000010.11:44376099:G:A | (self) |
| 61813, ss109395469, ss174513277, ss207348885, ss280593330, ss291026938, ss480519172, ss825458542, ss1597099012, ss1713175342, ss3642850686, ss3847383921 | NC_000010.9:44191553:G:A | NC_000010.11:44376099:G:A | (self) |
| 49606701, 27545291, 19554745, 2132656, 12280064, 29302760, 370923, 10558669, 698041, 182829, 12825856, 26077086, 6905535, 55339125, 27545291, 6113783, ss235152894, ss241863818, ss480533674, ss481344442, ss485056926, ss537073488, ss656641482, ss778491126, ss782974681, ss783935950, ss832231061, ss832891027, ss833947130, ss987433797, ss1076944727, ss1337226830, ss1426301200, ss1575078270, ss1624467961, ss1667461994, ss1711255163, ss1751968907, ss1930783926, ss1967113813, ss2026116269, ss2094788002, ss2095009577, ss2154389181, ss2627527327, ss2632704782, ss2698625564, ss2888145789, ss3006376609, ss3349091468, ss3625578484, ss3626435922, ss3630730980, ss3632947420, ss3633644456, ss3634401008, ss3635337045, ss3636082785, ss3637087692, ss3637847046, ss3640108350, ss3641000617, ss3641294881, ss3646407806, ss3651586973, ss3673816497, ss3737273804, ss3744701912, ss3748038806, ss3772202502, ss3825774586, ss3832094096, ss3839581505, ss3874060106, ss3922125366, ss3983976694, ss3984633371, ss3985472114, ss3986482221, ss4017482808, ss5197369818, ss5315469125, ss5393100894, ss5624008474, ss5649167903, ss5799439939, ss5799810859, ss5824317793, ss5848297367, ss5936544430, ss5940447428, ss5981260163 | NC_000010.10:44871547:G:A | NC_000010.11:44376099:G:A | (self) |
| RCV001655327.4, 65186886, 389535, 24149966, 76952499, 66101748, 15022974777, ss2174392348, ss3026846902, ss3689775606, ss3813410722, ss3845053394, ss3967771965, ss4850556093, ss5283831296, ss5479468456, ss5577660951, ss5743115395, ss5811474677, ss5849542118, ss5878701193 | NC_000010.11:44376099:G:A | NC_000010.11:44376099:G:A | (self) |
| ss12086119 | NT_033985.5:1993861:G:A | NC_000010.11:44376099:G:A | (self) |
| ss19166527 | NT_033985.6:2274860:G:A | NC_000010.11:44376099:G:A | (self) |
| ss3242168, ss6846756, ss24457854, ss32465881, ss38557826, ss52086433, ss66742659, ss67244139, ss67641066, ss70722476, ss71290983, ss74825000, ss75732870, ss79128024, ss84027341, ss121994052, ss153901424, ss159379234, ss160532497, ss161338928, ss171176971, ss173269440, ss410782168 | NT_033985.7:2516612:G:A | NC_000010.11:44376099:G:A | (self) |
| 15022974777 | NC_000010.11:44376099:G:C | NC_000010.11:44376099:G:C | (self) |
| ss2174392348 | NC_000010.11:44376099:G:T | NC_000010.11:44376099:G:T | (self) |
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 18787196 | Segment-specific genetic effects on carotid intima-media thickness: the Northern Manhattan study. | Liao YC et al. | 2008 | Stroke |
| 19115008 | SDF1 gene variation is associated with circulating SDF1alpha level and endothelial progenitor cell number: the Bruneck Study. | Xiao Q et al. | 2008 | PloS one |
| 19956101 | Overview of the Rapid Response data. | Brown WM et al. | 2009 | Genes and immunity |
| 21415067 | The novel atherosclerosis locus at 10q11 regulates plasma CXCL12 levels. | Mehta NN et al. | 2011 | European heart journal |
| 21430300 | Genetic polymorphisms in inflammation pathway genes and prostate cancer risk. | Kwon EM et al. | 2011 | Cancer epidemiology, biomarkers & prevention |
| 23078136 | Stromal-derived factor-1 gene variations in pediatric patients with primary immune thrombocytopenia. | Ku FC et al. | 2013 | European journal of haematology |
| 26114387 | Gene-Diet Interaction between SIRT6 and Soybean Intake for Different Levels of Pulse Wave Velocity. | Sun K et al. | 2015 | International journal of molecular sciences |
| 26587874 | Stromal cell-derived factor-1 rs2297630 polymorphism associated with platelet production and treatment response in Chinese patients with chronic immune thrombocytopenia. | Lyu M et al. | 2016 | Platelets |
| 30489503 | Clinical relevance of single nucleotide polymorphisms in the CXCL1 and CXCL12 genes in patients with major trauma. | Wang X et al. | 2019 | The journal of trauma and acute care surgery |
| 30693694 | [Association of CXCL12/CXCR4 gene polymorphisms with genetic risk and severity of coronary stenosis in patients with coronary artery disease]. | Wang A et al. | 2018 | Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences |
| 31009686 | Analysis of genetic and clinical risk factors of post-transplant thrombocytopenia in kidney allograft recipients. | Choi KH et al. | 2019 | Transplant immunology |
| 31294628 | Identification of Novel CXCL12 Genetic Polymorphisms Associated with Type 2 Diabetes Mellitus: A Chinese Sib-Pair Study. | Yin Q et al. | 2019 | Genetic testing and molecular biomarkers |
| 35079936 | Associations of CXCL12 polymorphisms with clinicopathological features in breast cancer: a case-control study. | Lin S et al. | 2022 | Molecular biology reports |
| 36036499 | Inflammation-related Gene Polymorphisms Associated With Childhood Acute Lymphoblastic Leukemia. | Ji H et al. | 2023 | Journal of pediatric hematology/oncology |
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genomic regions, transcripts, and products
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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.
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.