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.
rs1042713
Current Build 157
Released September 3, 2024
- Organism
- Homo sapiens
- Position
-
chr5:148826877 (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
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
A=0.3837109 (537556/1400940, GnomAD_exomes)A=0.388003 (145748/375636, ALFA)A=0.427421 (113134/264690, TOPMED) (+ 27 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- ADRB2 : Missense Variant
- Publications
- 221 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 | 375636 | G=0.611997 | A=0.388003 | 0.377482 | 0.153489 | 0.469029 | 16 |
| European | Sub | 314598 | G=0.625681 | A=0.374319 | 0.392666 | 0.141304 | 0.46603 | 3 |
| African | Sub | 16466 | G=0.50455 | A=0.49545 | 0.259201 | 0.250091 | 0.490708 | 2 |
| African Others | Sub | 590 | G=0.488 | A=0.512 | 0.267797 | 0.291525 | 0.440678 | 3 |
| African American | Sub | 15876 | G=0.50517 | A=0.49483 | 0.258881 | 0.248551 | 0.492567 | 1 |
| Asian | Sub | 6938 | G=0.4372 | A=0.5628 | 0.192851 | 0.318536 | 0.488613 | 0 |
| East Asian | Sub | 4980 | G=0.4452 | A=0.5548 | 0.202811 | 0.31245 | 0.484739 | 1 |
| Other Asian | Sub | 1958 | G=0.4168 | A=0.5832 | 0.167518 | 0.334014 | 0.498468 | 0 |
| Latin American 1 | Sub | 1474 | G=0.5550 | A=0.4450 | 0.317503 | 0.207598 | 0.474898 | 1 |
| Latin American 2 | Sub | 7236 | G=0.5629 | A=0.4371 | 0.31592 | 0.19016 | 0.493919 | 0 |
| South Asian | Sub | 5224 | G=0.5532 | A=0.4468 | 0.311256 | 0.204824 | 0.48392 | 1 |
| Other | Sub | 23700 | G=0.58768 | A=0.41232 | 0.349283 | 0.173924 | 0.476793 | 2 |
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 |
|---|---|---|---|---|---|
| gnomAD v4 - Exomes | Global | Study-wide | 1400940 | G=0.6162891 | A=0.3837109 |
| gnomAD v4 - Exomes | European | Sub | 1165314 | G=0.6322777 | A=0.3677223 |
| gnomAD v4 - Exomes | South Asian | Sub | 86220 | G=0.55146 | A=0.44854 |
| gnomAD v4 - Exomes | American | Sub | 44724 | G=0.56860 | A=0.43140 |
| gnomAD v4 - Exomes | East Asian | Sub | 39700 | G=0.47456 | A=0.52544 |
| gnomAD v4 - Exomes | African | Sub | 33468 | G=0.50636 | A=0.49364 |
| gnomAD v4 - Exomes | Ashkenazi Jewish | Sub | 26134 | G=0.55835 | A=0.44165 |
| gnomAD v4 - Exomes | Middle Eastern | sub | 5380 | G=0.5996 | A=0.4004 |
| Allele Frequency Aggregator | Total | Global | 375636 | G=0.611997 | A=0.388003 |
| Allele Frequency Aggregator | European | Sub | 314598 | G=0.625681 | A=0.374319 |
| Allele Frequency Aggregator | Other | Sub | 23700 | G=0.58768 | A=0.41232 |
| Allele Frequency Aggregator | African | Sub | 16466 | G=0.50455 | A=0.49545 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 7236 | G=0.5629 | A=0.4371 |
| Allele Frequency Aggregator | Asian | Sub | 6938 | G=0.4372 | A=0.5628 |
| Allele Frequency Aggregator | South Asian | Sub | 5224 | G=0.5532 | A=0.4468 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 1474 | G=0.5550 | A=0.4450 |
| TopMed | Global | Study-wide | 264690 | G=0.572579 | A=0.427421 |
| gnomAD v4 - Genomes | Global | Study-wide | 149182 | G=0.572757 | A=0.427243 |
| gnomAD v4 - Genomes | European | Sub | 78588 | G=0.61796 | A=0.38204 |
| gnomAD v4 - Genomes | African | Sub | 41542 | G=0.50655 | A=0.49345 |
| gnomAD v4 - Genomes | American | Sub | 15306 | G=0.56501 | A=0.43499 |
| gnomAD v4 - Genomes | East Asian | Sub | 5154 | G=0.4558 | A=0.5442 |
| gnomAD v4 - Genomes | South Asian | Sub | 4828 | G=0.5561 | A=0.4439 |
| gnomAD v4 - Genomes | Ashkenazi Jewish | Sub | 3470 | G=0.5700 | A=0.4300 |
| gnomAD v4 - Genomes | Middle Eastern | sub | 294 | G=0.605 | A=0.395 |
| ExAC | Global | Study-wide | 121346 | G=0.579640 | A=0.420360 |
| ExAC | Europe | Sub | 73328 | G=0.61319 | A=0.38681 |
| ExAC | Asian | Sub | 25142 | G=0.51241 | A=0.48759 |
| ExAC | American | Sub | 11572 | G=0.57968 | A=0.42032 |
| ExAC | African | Sub | 10404 | G=0.50673 | A=0.49327 |
| ExAC | Other | Sub | 900 | G=0.567 | A=0.433 |
| The PAGE Study | Global | Study-wide | 78682 | G=0.54058 | A=0.45942 |
| The PAGE Study | AfricanAmerican | Sub | 32510 | G=0.51701 | A=0.48299 |
| The PAGE Study | Mexican | Sub | 10810 | G=0.56549 | A=0.43451 |
| The PAGE Study | Asian | Sub | 8318 | G=0.5043 | A=0.4957 |
| The PAGE Study | PuertoRican | Sub | 7916 | G=0.5450 | A=0.4550 |
| The PAGE Study | NativeHawaiian | Sub | 4524 | G=0.6479 | A=0.3521 |
| The PAGE Study | Cuban | Sub | 4228 | G=0.5868 | A=0.4132 |
| The PAGE Study | Dominican | Sub | 3828 | G=0.5679 | A=0.4321 |
| The PAGE Study | CentralAmerican | Sub | 2450 | G=0.5531 | A=0.4469 |
| The PAGE Study | SouthAmerican | Sub | 1982 | G=0.5207 | A=0.4793 |
| The PAGE Study | NativeAmerican | Sub | 1260 | G=0.5397 | A=0.4603 |
| The PAGE Study | SouthAsian | Sub | 856 | G=0.527 | A=0.473 |
| 38KJPN | JAPANESE | Study-wide | 77444 | G=0.50572 | A=0.49428 |
| PharmGKB Aggregated | Global | Study-wide | 24304 | G=0.57353 | A=0.42647 |
| PharmGKB Aggregated | PA159673097 | Sub | 4926 | G=0.5763 | A=0.4237 |
| PharmGKB Aggregated | PA142093862 | Sub | 4412 | G=0.5966 | A=0.4034 |
| PharmGKB Aggregated | PA150735890 | Sub | 3700 | G=0.5573 | A=0.4427 |
| PharmGKB Aggregated | PA143081417 | Sub | 2538 | G=0.5768 | A=0.4232 |
| PharmGKB Aggregated | PA130771015 | Sub | 2108 | G=0.5612 | A=0.4388 |
| PharmGKB Aggregated | PA128523245 | Sub | 1912 | G=0.5565 | A=0.4435 |
| PharmGKB Aggregated | PA144488543 | Sub | 1164 | G=0.5404 | A=0.4596 |
| PharmGKB Aggregated | PA159666606 | Sub | 1076 | G=0.5465 | A=0.4535 |
| PharmGKB Aggregated | PA129185701 | Sub | 680 | G=0.579 | A=0.421 |
| PharmGKB Aggregated | PA130625709 | Sub | 594 | G=0.616 | A=0.384 |
| PharmGKB Aggregated | PA129947802 | Sub | 420 | G=0.619 | A=0.381 |
| PharmGKB Aggregated | PA152250230 | Sub | 314 | G=0.615 | A=0.385 |
| PharmGKB Aggregated | PA129965075 | Sub | 192 | G=0.583 | A=0.417 |
| PharmGKB Aggregated | PA134858392 | Sub | 178 | G=0.545 | A=0.455 |
| PharmGKB Aggregated | PA142648497 | Sub | 90 | G=0.62 | A=0.38 |
| Korean Genome Project 4K | KOREAN | Study-wide | 7232 | G=0.4551 | A=0.5449 |
| 1000Genomes_30X | Global | Study-wide | 6404 | G=0.5242 | A=0.4758 |
| 1000Genomes_30X | African | Sub | 1786 | G=0.4798 | A=0.5202 |
| 1000Genomes_30X | Europe | Sub | 1266 | G=0.6193 | A=0.3807 |
| 1000Genomes_30X | South Asian | Sub | 1202 | G=0.5449 | A=0.4551 |
| 1000Genomes_30X | East Asian | Sub | 1170 | G=0.4538 | A=0.5462 |
| 1000Genomes_30X | American | Sub | 980 | G=0.541 | A=0.459 |
| 1000Genomes | Global | Study-wide | 5008 | G=0.5244 | A=0.4756 |
| 1000Genomes | African | Sub | 1322 | G=0.4796 | A=0.5204 |
| 1000Genomes | East Asian | Sub | 1008 | G=0.4514 | A=0.5486 |
| 1000Genomes | Europe | Sub | 1006 | G=0.6143 | A=0.3857 |
| 1000Genomes | South Asian | Sub | 978 | G=0.554 | A=0.446 |
| 1000Genomes | American | Sub | 694 | G=0.543 | A=0.457 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | G=0.6058 | A=0.3942 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | G=0.6248 | A=0.3752 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | G=0.6373 | A=0.3627 |
| MxGDAR/Encodat-PGx | Global | Study-wide | 3272 | G=0.5550 | A=0.4450 |
| MxGDAR/Encodat-PGx | MxGDAR | Sub | 3272 | G=0.5550 | A=0.4450 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2928 | G=0.4621 | A=0.5379, C=0.0000 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | G=0.5274 | A=0.4726 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | G=0.509 | A=0.491 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | G=0.539 | A=0.461 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | G=0.569 | A=0.431 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | G=0.644 | A=0.356 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | G=0.554 | A=0.446 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | G=0.407 | A=0.593 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | G=0.14 | A=0.86 |
| HapMap | Global | Study-wide | 1892 | G=0.5264 | A=0.4736 |
| HapMap | American | Sub | 770 | G=0.540 | A=0.460 |
| HapMap | African | Sub | 692 | G=0.478 | A=0.522 |
| HapMap | Asian | Sub | 254 | G=0.520 | A=0.480 |
| HapMap | Europe | Sub | 176 | G=0.665 | A=0.335 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | G=0.4634 | A=0.5366 |
| Genome-wide autozygosity in Daghestan | Global | Study-wide | 1134 | G=0.6217 | A=0.3783 |
| Genome-wide autozygosity in Daghestan | Daghestan | Sub | 628 | G=0.646 | A=0.354 |
| Genome-wide autozygosity in Daghestan | Near_East | Sub | 144 | G=0.583 | A=0.417 |
| Genome-wide autozygosity in Daghestan | Central Asia | Sub | 120 | G=0.625 | A=0.375 |
| Genome-wide autozygosity in Daghestan | Europe | Sub | 108 | G=0.639 | A=0.361 |
| Genome-wide autozygosity in Daghestan | South Asian | Sub | 98 | G=0.51 | A=0.49 |
| Genome-wide autozygosity in Daghestan | Caucasus | Sub | 36 | G=0.58 | A=0.42 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | G=0.644 | A=0.356 |
| CNV burdens in cranial meningiomas | Global | Study-wide | 792 | G=0.462 | A=0.538 |
| CNV burdens in cranial meningiomas | CRM | Sub | 792 | G=0.462 | A=0.538 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 614 | G=0.441 | A=0.559 |
| Northern Sweden | ACPOP | Study-wide | 600 | G=0.572 | A=0.428 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | G=0.618 | A=0.382 |
| SGDP_PRJ | Global | Study-wide | 406 | G=0.330 | A=0.670 |
| FINRISK | Finnish from FINRISK project | Study-wide | 304 | G=0.579 | A=0.421 |
| Qatari | Global | Study-wide | 216 | G=0.630 | A=0.370 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 94 | G=0.68 | A=0.32 |
| Siberian | Global | Study-wide | 38 | G=0.39 | A=0.61 |
Help
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.148826877G>A |
| GRCh38.p14 chr 5 | NC_000005.10:g.148826877G>C |
| GRCh37.p13 chr 5 | NC_000005.9:g.148206440G>A |
| GRCh37.p13 chr 5 | NC_000005.9:g.148206440G>C |
| ADRB2 RefSeqGene | NG_016421.2:g.5285G>A |
| ADRB2 RefSeqGene | NG_016421.2:g.5285G>C |
| LOC127404222 genomic region | NG_106171.1:g.52G>A |
| LOC127404222 genomic region | NG_106171.1:g.52G>C |
| LOC129994952 genomic region | NG_174398.1:g.238G>A |
| LOC129994952 genomic region | NG_174398.1:g.238G>C |
Gene: ADRB2, adrenoceptor beta 2
(plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| ADRB2 transcript | NM_000024.6:c.46G>A | G [GGA] > R [AGA] | Coding Sequence Variant |
| beta-2 adrenergic receptor | NP_000015.2:p.Gly16Arg | G (Gly) > R (Arg) | Missense Variant |
| ADRB2 transcript | NM_000024.6:c.46G>C | G [GGA] > R [CGA] | Coding Sequence Variant |
| beta-2 adrenergic receptor | NP_000015.2:p.Gly16Arg | G (Gly) > R (Arg) | Missense Variant |
Help
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.
Allele: G= (allele ID:
32781
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000019316.12 | RECLASSIFIED - ADRB2 POLYMORPHISM | Benign |
| RCV000873016.12 | not provided | Benign |
Allele: A (allele ID:
227753
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000211334.13 | salmeterol response - Efficacy | Drug-Response |
Help
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 |
|---|---|---|---|
| GRCh38.p14 chr 5 | NC_000005.10:g.148826877= | NC_000005.10:g.148826877G>A | NC_000005.10:g.148826877G>C |
| GRCh37.p13 chr 5 | NC_000005.9:g.148206440= | NC_000005.9:g.148206440G>A | NC_000005.9:g.148206440G>C |
| ADRB2 RefSeqGene | NG_016421.2:g.5285= | NG_016421.2:g.5285G>A | NG_016421.2:g.5285G>C |
| ADRB2 transcript | NM_000024.6:c.46= | NM_000024.6:c.46G>A | NM_000024.6:c.46G>C |
| ADRB2 transcript | NM_000024.5:c.46A>G | NM_000024.5:c.46= | NM_000024.5:c.46A>C |
| LOC127404222 genomic region | NG_106171.1:g.52= | NG_106171.1:g.52G>A | NG_106171.1:g.52G>C |
| LOC129994952 genomic region | NG_174398.1:g.238= | NG_174398.1:g.238G>A | NG_174398.1:g.238G>C |
| beta-2 adrenergic receptor | NP_000015.2:p.Gly16= | NP_000015.2:p.Gly16Arg | NP_000015.2:p.Gly16Arg |
| beta-2 adrenergic receptor | NP_000015.1:p.Arg16Gly | NP_000015.1:p.Arg16= | NP_000015.1:p.Arg16= |
Help
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#.
230 SubSNP,
30 Frequency,
3 ClinVar
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | LEE | ss1510175 | Oct 05, 2000 (86) |
| 2 | HGBASE | ss2420663 | Nov 14, 2000 (89) |
| 3 | WIAF-CSNP | ss3172964 | Aug 15, 2001 (98) |
| 4 | LEE | ss4404103 | May 29, 2002 (106) |
| 5 | WI_SSAHASNP | ss11700213 | Jul 11, 2003 (116) |
| 6 | HG_BONN_CNS_SNPS | ss12586695 | Aug 26, 2003 (117) |
| 7 | CGAP-GAI | ss16227076 | Feb 27, 2004 (120) |
| 8 | CSHL-HAPMAP | ss17068842 | Feb 27, 2004 (120) |
| 9 | SSAHASNP | ss22345189 | Apr 05, 2004 (121) |
| 10 | IMCJ-GDT | ss22886615 | Apr 05, 2004 (121) |
| 11 | PERLEGEN | ss24195702 | Sep 20, 2004 (123) |
| 12 | MGC_GENOME_DIFF | ss28499024 | Sep 24, 2004 (126) |
| 13 | MGC_GENOME_DIFF | ss28514034 | Sep 24, 2004 (126) |
| 14 | ABI | ss42534864 | Mar 10, 2006 (126) |
| 15 | PGA-UW-FHCRC | ss46533167 | Mar 10, 2006 (126) |
| 16 | SNP500CANCER | ss48292444 | Mar 10, 2006 (126) |
| 17 | APPLERA_GI | ss48427716 | Mar 10, 2006 (126) |
| 18 | UCSF_HG | ss49783229 | Mar 10, 2006 (126) |
| 19 | RIKENSNPRC | ss49847810 | Mar 10, 2006 (126) |
| 20 | ILLUMINA | ss65724637 | Oct 16, 2006 (127) |
| 21 | ILLUMINA | ss66665219 | Dec 02, 2006 (127) |
| 22 | ILLUMINA | ss66882731 | Dec 02, 2006 (127) |
| 23 | ILLUMINA | ss66976220 | Dec 02, 2006 (127) |
| 24 | PHARMGKB_INVEST | ss69364150 | May 18, 2007 (127) |
| 25 | PHARMGKB_PCE | ss69365434 | May 18, 2007 (127) |
| 26 | PHARMGKB_CREATE | ss69366351 | May 18, 2007 (127) |
| 27 | PHARMGKB_PAAR-SJCRH | ss69367534 | May 18, 2007 (127) |
| 28 | PHARMGKB_PHAT | ss69368004 | May 18, 2007 (127) |
| 29 | PHARMGKB_INVEST | ss69368899 | May 18, 2007 (127) |
| 30 | PHARMGKB_APP | ss69369607 | May 18, 2007 (127) |
| 31 | PHARMGKB_APP | ss69369807 | May 18, 2007 (127) |
| 32 | PHARMGKB_APP | ss69370063 | May 18, 2007 (127) |
| 33 | PHARMGKB_APP | ss69370305 | May 18, 2007 (127) |
| 34 | TAPPERS | ss69371809 | May 18, 2007 (127) |
| 35 | ILLUMINA | ss70365493 | May 18, 2007 (127) |
| 36 | ILLUMINA | ss70478442 | May 23, 2008 (130) |
| 37 | ILLUMINA | ss71001749 | May 18, 2007 (127) |
| 38 | AFFY | ss74806164 | Aug 16, 2007 (128) |
| 39 | ILLUMINA | ss75880493 | Dec 07, 2007 (129) |
| 40 | KRIBB_YJKIM | ss83672239 | Dec 14, 2007 (130) |
| 41 | PHARMGKB_GERA | ss84129414 | Dec 14, 2007 (130) |
| 42 | BCMHGSC_JDW | ss93286310 | Mar 24, 2008 (129) |
| 43 | HUMANGENOME_JCVI | ss98775116 | Feb 03, 2009 (130) |
| 44 | BGI | ss104249462 | Dec 01, 2009 (131) |
| 45 | PHARMGKB_PEAR | ss105108110 | Feb 03, 2009 (130) |
| 46 | PHARMGKB_INVEST | ss105110340 | Feb 03, 2009 (130) |
| 47 | PHARMGKB_INVEST | ss105110341 | Feb 03, 2009 (130) |
| 48 | 1000GENOMES | ss109502585 | Jan 24, 2009 (130) |
| 49 | 1000GENOMES | ss113428990 | Jan 25, 2009 (130) |
| 50 | ILLUMINA | ss121304675 | Dec 01, 2009 (131) |
| 51 | ENSEMBL | ss143519821 | Dec 01, 2009 (131) |
| 52 | ILLUMINA | ss152723827 | Dec 01, 2009 (131) |
| 53 | GMI | ss156154944 | Dec 01, 2009 (131) |
| 54 | ILLUMINA | ss159123185 | Dec 01, 2009 (131) |
| 55 | SEATTLESEQ | ss159710481 | Dec 01, 2009 (131) |
| 56 | ILLUMINA | ss159892647 | Dec 01, 2009 (131) |
| 57 | COMPLETE_GENOMICS | ss162755498 | Jul 04, 2010 (132) |
| 58 | COMPLETE_GENOMICS | ss165962396 | Jul 04, 2010 (132) |
| 59 | ILLUMINA | ss169382035 | Jul 04, 2010 (132) |
| 60 | ILLUMINA | ss170065502 | Jul 04, 2010 (132) |
| 61 | PHARMGKB_PHAT | ss181129035 | Jul 04, 2010 (132) |
| 62 | BUSHMAN | ss201006929 | Jul 04, 2010 (132) |
| 63 | BCM-HGSC-SUB | ss207090862 | Jul 04, 2010 (132) |
| 64 | 1000GENOMES | ss222028643 | Jul 14, 2010 (132) |
| 65 | 1000GENOMES | ss233192411 | Jul 14, 2010 (132) |
| 66 | 1000GENOMES | ss240305953 | Jul 15, 2010 (132) |
| 67 | ILLUMINA | ss244268885 | Jul 04, 2010 (132) |
| 68 | RSG_JCVI | ss262866270 | May 09, 2011 (134) |
| 69 | OMICIA | ss275516154 | Nov 30, 2010 (133) |
| 70 | OMIM-CURATED-RECORDS | ss275517990 | Dec 03, 2010 (133) |
| 71 | GMI | ss278525021 | May 04, 2012 (137) |
| 72 | GMI | ss285280528 | Apr 25, 2013 (138) |
| 73 | PJP | ss293490462 | May 09, 2011 (134) |
| 74 | NHLBI-ESP | ss342193380 | May 09, 2011 (134) |
| 75 | ILLUMINA | ss479264299 | May 04, 2012 (137) |
| 76 | ILLUMINA | ss479267200 | May 04, 2012 (137) |
| 77 | ILLUMINA | ss479636436 | Sep 08, 2015 (146) |
| 78 | ILLUMINA | ss484432818 | May 04, 2012 (137) |
| 79 | 1000GENOMES | ss490913369 | May 04, 2012 (137) |
| 80 | EXOME_CHIP | ss491373622 | May 04, 2012 (137) |
| 81 | CLINSEQ_SNP | ss491875586 | May 04, 2012 (137) |
| 82 | ILLUMINA | ss536604145 | Sep 08, 2015 (146) |
| 83 | TISHKOFF | ss558785523 | Apr 25, 2013 (138) |
| 84 | SSMP | ss652689236 | Apr 25, 2013 (138) |
| 85 | ILLUMINA | ss778731096 | Sep 08, 2015 (146) |
| 86 | ILLUMINA | ss780842350 | Sep 08, 2015 (146) |
| 87 | ILLUMINA | ss782662873 | Sep 08, 2015 (146) |
| 88 | ILLUMINA | ss783525720 | Sep 08, 2015 (146) |
| 89 | ILLUMINA | ss783631755 | Sep 08, 2015 (146) |
| 90 | ILLUMINA | ss825335224 | Jul 19, 2016 (147) |
| 91 | ILLUMINA | ss831913401 | Sep 08, 2015 (146) |
| 92 | ILLUMINA | ss832635904 | Jul 13, 2019 (153) |
| 93 | ILLUMINA | ss834190591 | Sep 08, 2015 (146) |
| 94 | EVA-GONL | ss982244496 | Aug 21, 2014 (142) |
| 95 | JMKIDD_LAB | ss1067472509 | Aug 21, 2014 (142) |
| 96 | JMKIDD_LAB | ss1073130452 | Aug 21, 2014 (142) |
| 97 | 1000GENOMES | ss1317693445 | Aug 21, 2014 (142) |
| 98 | HAMMER_LAB | ss1397430768 | Sep 08, 2015 (146) |
| 99 | DDI | ss1430535519 | Apr 01, 2015 (144) |
| 100 | EVA_FINRISK | ss1584041837 | Apr 01, 2015 (144) |
| 101 | EVA_DECODE | ss1591776847 | Apr 01, 2015 (144) |
| 102 | EVA_UK10K_ALSPAC | ss1614268113 | Apr 01, 2015 (144) |
| 103 | EVA_UK10K_TWINSUK | ss1657262146 | Apr 01, 2015 (144) |
| 104 | EVA_EXAC | ss1688029151 | Apr 01, 2015 (144) |
| 105 | EVA_MGP | ss1711101805 | Apr 01, 2015 (144) |
| 106 | EVA_SVP | ss1712809104 | Apr 01, 2015 (144) |
| 107 | ILLUMINA | ss1752555223 | Sep 08, 2015 (146) |
| 108 | ILLUMINA | ss1917795747 | Feb 12, 2016 (147) |
| 109 | WEILL_CORNELL_DGM | ss1925498521 | Feb 12, 2016 (147) |
| 110 | ILLUMINA | ss1958832772 | Feb 12, 2016 (147) |
| 111 | GENOMED | ss1970234529 | Jul 19, 2016 (147) |
| 112 | JJLAB | ss2023356559 | Sep 14, 2016 (149) |
| 113 | USC_VALOUEV | ss2151515050 | Dec 20, 2016 (150) |
| 114 | HUMAN_LONGEVITY | ss2279156582 | Dec 20, 2016 (150) |
| 115 | SYSTEMSBIOZJU | ss2626166627 | Nov 08, 2017 (151) |
| 116 | ILLUMINA | ss2634354526 | Nov 08, 2017 (151) |
| 117 | ILLUMINA | ss2634354527 | Nov 08, 2017 (151) |
| 118 | GRF | ss2707084331 | Nov 08, 2017 (151) |
| 119 | ILLUMINA | ss2711051569 | Nov 08, 2017 (151) |
| 120 | GNOMAD | ss2735340113 | Nov 08, 2017 (151) |
| 121 | GNOMAD | ss2747484741 | Nov 08, 2017 (151) |
| 122 | GNOMAD | ss2832147591 | Nov 08, 2017 (151) |
| 123 | AFFY | ss2985339159 | Nov 08, 2017 (151) |
| 124 | AFFY | ss2985970868 | Nov 08, 2017 (151) |
| 125 | SWEGEN | ss2997982675 | Nov 08, 2017 (151) |
| 126 | ILLUMINA | ss3022540966 | Nov 08, 2017 (151) |
| 127 | EVA_SAMSUNG_MC | ss3023061570 | Nov 08, 2017 (151) |
| 128 | BIOINF_KMB_FNS_UNIBA | ss3025460092 | Nov 08, 2017 (151) |
| 129 | CSHL | ss3346678470 | Nov 08, 2017 (151) |
| 130 | ILLUMINA | ss3629367632 | Oct 12, 2018 (152) |
| 131 | ILLUMINA | ss3629367633 | Oct 12, 2018 (152) |
| 132 | ILLUMINA | ss3632277640 | Oct 12, 2018 (152) |
| 133 | ILLUMINA | ss3633393764 | Oct 12, 2018 (152) |
| 134 | ILLUMINA | ss3634115127 | Oct 12, 2018 (152) |
| 135 | ILLUMINA | ss3635027929 | Oct 12, 2018 (152) |
| 136 | ILLUMINA | ss3635027930 | Oct 12, 2018 (152) |
| 137 | ILLUMINA | ss3635796774 | Oct 12, 2018 (152) |
| 138 | ILLUMINA | ss3636741120 | Oct 12, 2018 (152) |
| 139 | ILLUMINA | ss3637549430 | Oct 12, 2018 (152) |
| 140 | ILLUMINA | ss3638587578 | Oct 12, 2018 (152) |
| 141 | ILLUMINA | ss3639296034 | Oct 12, 2018 (152) |
| 142 | ILLUMINA | ss3639672341 | Oct 12, 2018 (152) |
| 143 | ILLUMINA | ss3640735223 | Oct 12, 2018 (152) |
| 144 | ILLUMINA | ss3640735224 | Oct 12, 2018 (152) |
| 145 | ILLUMINA | ss3643531063 | Oct 12, 2018 (152) |
| 146 | ILLUMINA | ss3644891852 | Oct 12, 2018 (152) |
| 147 | OMUKHERJEE_ADBS | ss3646326216 | Oct 12, 2018 (152) |
| 148 | URBANLAB | ss3648194722 | Oct 12, 2018 (152) |
| 149 | ILLUMINA | ss3653043945 | Oct 12, 2018 (152) |
| 150 | ILLUMINA | ss3654111345 | Oct 12, 2018 (152) |
| 151 | EGCUT_WGS | ss3665902714 | Jul 13, 2019 (153) |
| 152 | PATHPUNJABI | ss3685990252 | Jul 13, 2019 (153) |
| 153 | EVA_DECODE | ss3715930580 | Jul 13, 2019 (153) |
| 154 | ILLUMINA | ss3726280661 | Jul 13, 2019 (153) |
| 155 | ACPOP | ss3732916313 | Jul 13, 2019 (153) |
| 156 | ILLUMINA | ss3744541929 | Jul 13, 2019 (153) |
| 157 | ILLUMINA | ss3745328103 | Jul 13, 2019 (153) |
| 158 | ILLUMINA | ss3745328104 | Jul 13, 2019 (153) |
| 159 | EVA | ss3764207361 | Jul 13, 2019 (153) |
| 160 | PAGE_CC | ss3771239015 | Jul 13, 2019 (153) |
| 161 | ILLUMINA | ss3772822058 | Jul 13, 2019 (153) |
| 162 | KHV_HUMAN_GENOMES | ss3807376593 | Jul 13, 2019 (153) |
| 163 | EVA | ss3824127581 | Apr 26, 2020 (154) |
| 164 | EVA | ss3825522821 | Apr 26, 2020 (154) |
| 165 | EVA | ss3825538913 | Apr 26, 2020 (154) |
| 166 | EVA | ss3825682927 | Apr 26, 2020 (154) |
| 167 | EVA | ss3829561448 | Apr 26, 2020 (154) |
| 168 | EVA | ss3838254709 | Apr 26, 2020 (154) |
| 169 | EVA | ss3843697752 | Apr 26, 2020 (154) |
| 170 | HGDP | ss3847810705 | Apr 26, 2020 (154) |
| 171 | SGDP_PRJ | ss3863219823 | Apr 26, 2020 (154) |
| 172 | KRGDB | ss3909894975 | Apr 26, 2020 (154) |
| 173 | KOGIC | ss3957872244 | Apr 26, 2020 (154) |
| 174 | FSA-LAB | ss3984319573 | Apr 26, 2021 (155) |
| 175 | FSA-LAB | ss3984319574 | Apr 26, 2021 (155) |
| 176 | EVA | ss3984448336 | Apr 26, 2021 (155) |
| 177 | EVA | ss3984556071 | Apr 26, 2021 (155) |
| 178 | EVA | ss3985177323 | Apr 26, 2021 (155) |
| 179 | EVA | ss3986032110 | Apr 26, 2021 (155) |
| 180 | EVA | ss3986324011 | Apr 26, 2021 (155) |
| 181 | EVA | ss4017237517 | Apr 26, 2021 (155) |
| 182 | TOPMED | ss4682905237 | Apr 26, 2021 (155) |
| 183 | TOMMO_GENOMICS | ss6058741026 | Oct 30, 2024 (157) |
| 184 | EVA | ss6233055081 | Oct 30, 2024 (157) |
| 185 | EVA | ss6296898065 | Oct 30, 2024 (157) |
| 186 | EVA | ss6321919903 | Oct 30, 2024 (157) |
| 187 | EVA | ss6322253485 | Oct 30, 2024 (157) |
| 188 | EVA | ss6324851735 | Oct 30, 2024 (157) |
| 189 | EVA | ss6330893507 | Oct 30, 2024 (157) |
| 190 | YEGNASUBRAMANIAN_LAB | ss6339103298 | Oct 30, 2024 (157) |
| 191 | EVA | ss6349646238 | Oct 30, 2024 (157) |
| 192 | EVA | ss6350033584 | Oct 30, 2024 (157) |
| 193 | KOGIC | ss6368561732 | Oct 30, 2024 (157) |
| 194 | EVA | ss6404337756 | Oct 30, 2024 (157) |
| 195 | EVA | ss6404572586 | Oct 30, 2024 (157) |
| 196 | GNOMAD | ss6425672178 | Oct 30, 2024 (157) |
| 197 | GNOMAD | ss6696588940 | Oct 30, 2024 (157) |
| 198 | TOMMO_GENOMICS | ss8174683000 | Oct 30, 2024 (157) |
| 199 | EVA | ss8237017010 | Oct 30, 2024 (157) |
| 200 | EVA | ss8237187693 | Oct 30, 2024 (157) |
| 201 | EVA | ss8237644488 | Oct 30, 2024 (157) |
| 202 | 1000G_HIGH_COVERAGE | ss8266260622 | Oct 30, 2024 (157) |
| 203 | TRAN_CS_UWATERLOO | ss8314414098 | Oct 30, 2024 (157) |
| 204 | EVA | ss8315094239 | Oct 30, 2024 (157) |
| 205 | EVA | ss8361730390 | Oct 30, 2024 (157) |
| 206 | HUGCELL_USP | ss8464182326 | Oct 30, 2024 (157) |
| 207 | 1000G_HIGH_COVERAGE | ss8551124911 | Oct 30, 2024 (157) |
| 208 | EVA | ss8623933648 | Oct 30, 2024 (157) |
| 209 | EVA | ss8624151363 | Oct 30, 2024 (157) |
| 210 | SANFORD_IMAGENETICS | ss8624604684 | Oct 30, 2024 (157) |
| 211 | SANFORD_IMAGENETICS | ss8639116923 | Oct 30, 2024 (157) |
| 212 | TOMMO_GENOMICS | ss8711918947 | Oct 30, 2024 (157) |
| 213 | EVA | ss8799402156 | Oct 30, 2024 (157) |
| 214 | EVA | ss8799665360 | Oct 30, 2024 (157) |
| 215 | EVA | ss8800124845 | Oct 30, 2024 (157) |
| 216 | YY_MCH | ss8806865896 | Oct 30, 2024 (157) |
| 217 | EVA | ss8835802314 | Oct 30, 2024 (157) |
| 218 | EVA | ss8847276597 | Oct 30, 2024 (157) |
| 219 | EVA | ss8848069000 | Oct 30, 2024 (157) |
| 220 | EVA | ss8848637779 | Oct 30, 2024 (157) |
| 221 | EVA | ss8855064162 | Oct 30, 2024 (157) |
| 222 | EVA | ss8896806214 | Oct 30, 2024 (157) |
| 223 | EVA | ss8936528408 | Oct 30, 2024 (157) |
| 224 | EVA | ss8967595842 | Oct 30, 2024 (157) |
| 225 | EVA | ss8979758246 | Oct 30, 2024 (157) |
| 226 | EVA | ss8980322575 | Oct 30, 2024 (157) |
| 227 | EVA | ss8981943613 | Oct 30, 2024 (157) |
| 228 | EVA | ss8981943614 | Oct 30, 2024 (157) |
| 229 | EVA | ss8982029380 | Oct 30, 2024 (157) |
| 230 | EVA | ss8982507999 | Oct 30, 2024 (157) |
| 231 | 1000Genomes | NC_000005.9 - 148206440 | Oct 12, 2018 (152) |
| 232 | 1000Genomes_30X | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 233 | The Avon Longitudinal Study of Parents and Children | NC_000005.9 - 148206440 | Oct 12, 2018 (152) |
| 234 | Genome-wide autozygosity in Daghestan | NC_000005.8 - 148186633 | Apr 26, 2020 (154) |
| 235 | Genetic variation in the Estonian population | NC_000005.9 - 148206440 | Oct 12, 2018 (152) |
| 236 | ExAC | NC_000005.9 - 148206440 | Oct 12, 2018 (152) |
| 237 | FINRISK | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 238 | gnomAD v4 - Exomes | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 239 | gnomAD v4 - Genomes | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 240 | Genome of the Netherlands Release 5 | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 241 | HGDP-CEPH-db Supplement 1 | NC_000005.8 - 148186633 | Apr 26, 2020 (154) |
| 242 | HapMap | NC_000005.10 - 148826877 | Apr 26, 2020 (154) |
| 243 | KOREAN population from KRGDB | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 244 | Korean Genome Project | NC_000005.10 - 148826877 | Apr 26, 2020 (154) |
| 245 | Korean Genome Project 4K | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 246 | Medical Genome Project healthy controls from Spanish population | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 247 | Northern Sweden | NC_000005.9 - 148206440 | Jul 13, 2019 (153) |
| 248 | The PAGE Study | NC_000005.10 - 148826877 | Jul 13, 2019 (153) |
| 249 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000005.9 - 148206440 | Apr 26, 2021 (155) |
| 250 | CNV burdens in cranial meningiomas | NC_000005.9 - 148206440 | Apr 26, 2021 (155) |
| 251 | MxGDAR/Encodat-PGx | NC_000005.9 - 148206440 | Apr 26, 2021 (155) |
| 252 | PharmGKB Aggregated | NC_000005.10 - 148826877 | Apr 26, 2020 (154) |
| 253 | Qatari | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 254 | SGDP_PRJ | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 255 | Siberian | NC_000005.9 - 148206440 | Apr 26, 2020 (154) |
| 256 | 38KJPN | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 257 | TopMed | NC_000005.10 - 148826877 | Apr 26, 2021 (155) |
| 258 | UK 10K study - Twins | NC_000005.9 - 148206440 | Oct 12, 2018 (152) |
| 259 | A Vietnamese Genetic Variation Database | NC_000005.9 - 148206440 | Jul 13, 2019 (153) |
| 260 | ALFA | NC_000005.10 - 148826877 | Oct 30, 2024 (157) |
| 261 | ClinVar | RCV000019316.12 | Oct 30, 2024 (157) |
| 262 | ClinVar | RCV000211334.13 | Oct 30, 2024 (157) |
| 263 | ClinVar | RCV000873016.12 | Oct 30, 2024 (157) |
Help
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) |
|---|---|
| rs3182174 | Jul 03, 2002 (106) |
| rs3729940 | Oct 08, 2002 (108) |
| rs17287432 | Mar 10, 2006 (126) |
| rs17334179 | Mar 10, 2006 (126) |
| rs17334242 | Mar 10, 2006 (126) |
| rs17721693 | Oct 08, 2004 (123) |
| rs17839749 | Oct 08, 2004 (123) |
| rs17846639 | Mar 10, 2006 (126) |
| rs17859732 | Mar 10, 2006 (126) |
| rs52812686 | Sep 21, 2007 (128) |
| rs56964295 | May 23, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| 405581, 488597, ss93286310, ss109502585, ss113428990, ss162755498, ss165962396, ss201006929, ss207090862, ss278525021, ss285280528, ss293490462, ss479264299, ss491875586, ss825335224, ss1397430768, ss1591776847, ss1712809104, ss3639296034, ss3639672341, ss3643531063, ss3847810705 | NC_000005.8:148186632:G:A | NC_000005.10:148826876:G:A | (self) |
| 29388919, 16351762, 11640962, 8038234, 38298, 7260316, 17072369, 217565, 6201178, 403250, 105443, 1337, 7540451, 15236803, 4031404, 16351762, 3624066, ss222028643, ss233192411, ss240305953, ss342193380, ss479267200, ss479636436, ss484432818, ss490913369, ss491373622, ss536604145, ss558785523, ss652689236, ss778731096, ss780842350, ss782662873, ss783525720, ss783631755, ss831913401, ss832635904, ss834190591, ss982244496, ss1067472509, ss1073130452, ss1317693445, ss1430535519, ss1584041837, ss1614268113, ss1657262146, ss1688029151, ss1711101805, ss1752555223, ss1917795747, ss1925498521, ss1958832772, ss1970234529, ss2023356559, ss2151515050, ss2626166627, ss2634354526, ss2634354527, ss2707084331, ss2711051569, ss2735340113, ss2747484741, ss2832147591, ss2985339159, ss2985970868, ss2997982675, ss3022540966, ss3023061570, ss3346678470, ss3629367632, ss3629367633, ss3632277640, ss3633393764, ss3634115127, ss3635027929, ss3635027930, ss3635796774, ss3636741120, ss3637549430, ss3638587578, ss3640735223, ss3640735224, ss3644891852, ss3646326216, ss3653043945, ss3654111345, ss3665902714, ss3732916313, ss3744541929, ss3745328103, ss3745328104, ss3764207361, ss3772822058, ss3824127581, ss3825522821, ss3825538913, ss3825682927, ss3829561448, ss3838254709, ss3863219823, ss3909894975, ss3984319573, ss3984319574, ss3984448336, ss3984556071, ss3985177323, ss3986032110, ss3986324011, ss4017237517, ss6233055081, ss6296898065, ss6322253485, ss6324851735, ss6330893507, ss6339103298, ss6349646238, ss6350033584, ss6404572586, ss8174683000, ss8315094239, ss8361730390, ss8623933648, ss8624151363, ss8624604684, ss8639116923, ss8799402156, ss8799665360, ss8800124845, ss8835802314, ss8847276597, ss8848069000, ss8848637779, ss8936528408, ss8967595842, ss8979758246, ss8980322575, ss8981943613, ss8981943614, ss8982507999 | NC_000005.9:148206439:G:A | NC_000005.10:148826876:G:A | (self) |
| RCV000211334.13, 38650846, 20982448, 223331782, 2992217, 14250245, 18413630, 460484, 10503, 76116846, 520282794, 3116550438, ss275516154, ss275517990, ss2279156582, ss3025460092, ss3648194722, ss3685990252, ss3715930580, ss3726280661, ss3771239015, ss3807376593, ss3843697752, ss3957872244, ss4682905237, ss6058741026, ss6321919903, ss6368561732, ss6404337756, ss6425672178, ss6696588940, ss8237017010, ss8237187693, ss8237644488, ss8266260622, ss8314414098, ss8464182326, ss8551124911, ss8711918947, ss8806865896, ss8855064162, ss8896806214, ss8982029380 | NC_000005.10:148826876:G:A | NC_000005.10:148826876:G:A | (self) |
| ss11700213 | NT_029289.9:9369376:G:A | NC_000005.10:148826876:G:A | (self) |
| ss17068842, ss22345189 | NT_029289.10:9369375:G:A | NC_000005.10:148826876:G:A | (self) |
| ss1510175, ss2420663, ss3172964, ss4404103, ss12586695, ss16227076, ss22886615, ss24195702, ss28499024, ss28514034, ss42534864, ss46533167, ss48292444, ss48427716, ss49783229, ss49847810, ss65724637, ss66665219, ss66882731, ss66976220, ss69364150, ss69365434, ss69366351, ss69367534, ss69368004, ss69368899, ss69369607, ss69369807, ss69370063, ss69370305, ss69371809, ss70365493, ss70478442, ss71001749, ss74806164, ss75880493, ss83672239, ss84129414, ss98775116, ss104249462, ss105108110, ss105110340, ss105110341, ss121304675, ss143519821, ss152723827, ss156154944, ss159123185, ss159710481, ss159892647, ss169382035, ss170065502, ss181129035, ss244268885, ss262866270 | NT_029289.11:9369366:G:A | NC_000005.10:148826876:G:A | (self) |
| 17072369, ss3909894975 | NC_000005.9:148206439:G:C | NC_000005.10:148826876:G:C | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
221
citations for rs1042713
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 7706471 | Genetic polymorphisms of the beta 2-adrenergic receptor in nocturnal and nonnocturnal asthma. Evidence that Gly16 correlates with the nocturnal phenotype. | Turki J et al. | 1995 | The Journal of clinical investigation |
| 9399946 | Human beta-2 adrenoceptor gene polymorphisms are highly frequent in obesity and associate with altered adipocyte beta-2 adrenoceptor function. | Large V et al. | 1997 | The Journal of clinical investigation |
| 9399966 | Association between genetic polymorphisms of the beta2-adrenoceptor and response to albuterol in children with and without a history of wheezing. | Martinez FD et al. | 1997 | The Journal of clinical investigation |
| 9522789 | Association of glutamine 27 polymorphism of beta 2 adrenoceptor with reported childhood asthma: population based study. | Hopes E et al. | 1998 | BMJ (Clinical research ed.) |
| 11739457 | The effect of the Gly16Arg polymorphism of the beta(2)-adrenergic receptor gene on plasma free fatty acid levels is modulated by physical activity. | Meirhaeghe A et al. | 2001 | The Journal of clinical endocrinology and metabolism |
| 14557466 | The Gly16-->Arg16 and Gln27-->Glu27 polymorphisms of beta2-adrenergic receptor are associated with metabolic syndrome in men. | Dallongeville J et al. | 2003 | The Journal of clinical endocrinology and metabolism |
| 15500681 | Detecting imbalanced expression of SNP alleles by minisequencing on microarrays. | Liljedahl U et al. | 2004 | BMC biotechnology |
| 15500895 | Use of regularly scheduled albuterol treatment in asthma: genotype-stratified, randomised, placebo-controlled cross-over trial. | Israel E et al. | 2004 | Lancet (London, England) |
| 15726497 | Gene-environment interaction effects on the development of immune responses in the 1st year of life. | Hoffjan S et al. | 2005 | American journal of human genetics |
| 15867853 | Meta-analysis of the association of beta2-adrenergic receptor polymorphisms with asthma phenotypes. | Contopoulos-Ioannidis DG et al. | 2005 | The Journal of allergy and clinical immunology |
| 16322642 | beta-Adrenergic receptor polymorphisms and response to salmeterol. | Wechsler ME et al. | 2006 | American journal of respiratory and critical care medicine |
| 16385446 | A testing framework for identifying susceptibility genes in the presence of epistasis. | Millstein J et al. | 2006 | American journal of human genetics |
| 16595073 | Functional nsSNPs from carcinogenesis-related genes expressed in breast tissue: potential breast cancer risk alleles and their distribution across human populations. | Savas S et al. | 2006 | Human genomics |
| 16596417 | Beta 2-adrenergic receptor polymorphisms: pharmacogenetic response to bronchodilator among African American asthmatics. | Tsai HJ et al. | 2006 | Human genetics |
| 16741943 | Three major haplotypes of the beta2 adrenergic receptor define psychological profile, blood pressure, and the risk for development of a common musculoskeletal pain disorder. | Diatchenko L et al. | 2006 | American journal of medical genetics. Part B, Neuropsychiatric genetics |
| 16772309 | Arginine-16 beta2 adrenoceptor genotype predisposes to exacerbations in young asthmatics taking regular salmeterol. | Palmer CN et al. | 2006 | Thorax |
| 16935688 | Beta2-adrenoceptor polymorphisms and asthma from childhood to middle age in the British 1958 birth cohort: a genetic association study. | Hall IP et al. | 2006 | Lancet (London, England) |
| 17143563 | beta-2-adrenergic receptor gene polymorphism confers susceptibility to Graves disease. | Jazdzewski K et al. | 2007 | International journal of molecular medicine |
| 17150099 | Beta2-adrenergic receptor and UCP3 variants modulate the relationship between age and type 2 diabetes mellitus. | Pinelli M et al. | 2006 | BMC medical genetics |
| 17199132 | beta2-Adrenergic receptor gene variants and risk for autism in the AGRE cohort. | Cheslack-Postava K et al. | 2007 | Molecular psychiatry |
| 17512307 | Association analyses of adrenergic receptor polymorphisms with obesity and metabolic alterations. | Lima JJ et al. | 2007 | Metabolism |
| 18156033 | Effect of ADRB2 polymorphisms on response to longacting beta2-agonist therapy: a pharmacogenetic analysis of two randomised studies. | Bleecker ER et al. | 2007 | Lancet (London, England) |
| 18191955 | Correlating observed odds ratios from lung cancer case-control studies to SNP functional scores predicted by bioinformatic tools. | Zhu Y et al. | 2008 | Mutation research |
| 18304332 | No evidence for association between BMI and 10 candidate genes at ages 4, 7 and 10 in a large UK sample of twins. | Haworth CM et al. | 2008 | BMC medical genetics |
| 18482449 | Investigating the complex genetic architecture of ankle-brachial index, a measure of peripheral arterial disease, in non-Hispanic whites. | Kardia SL et al. | 2008 | BMC medical genomics |
| 18513389 | New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background. | Penco S et al. | 2008 | BMC bioinformatics |
| 18534365 | Common beta-adrenergic receptor polymorphisms are not associated with risk of sudden cardiac death in patients with coronary artery disease. | Tseng ZH et al. | 2008 | Heart rhythm |
| 18599530 | Ser1369Ala variant in sulfonylurea receptor gene ABCC8 is associated with antidiabetic efficacy of gliclazide in Chinese type 2 diabetic patients. | Feng Y et al. | 2008 | Diabetes care |
| 18603647 | Functional genetic polymorphisms and female reproductive disorders: Part I: Polycystic ovary syndrome and ovarian response. | Simoni M et al. | 2008 | Human reproduction update |
| 18615004 | beta-adrenergic receptor gene polymorphisms and beta-blocker treatment outcomes in hypertension. | Pacanowski MA et al. | 2008 | Clinical pharmacology and therapeutics |
| 18640383 | Genotypes and haplotypes of beta2-adrenergic receptor and parameters of the metabolic syndrome in Korean adolescents. | Park HS et al. | 2008 | Metabolism |
| 18647184 | Association between polymorphisms in the beta2-adrenoceptor gene and migraine in women. | Schürks M et al. | 2009 | Headache |
| 18709160 | Interactions between glutathione S-transferase P1, tumor necrosis factor, and traffic-related air pollution for development of childhood allergic disease. | Melén E et al. | 2008 | Environmental health perspectives |
| 18719656 | ||||
| 18936436 | Prevalence in the United States of selected candidate gene variants: Third National Health and Nutrition Examination Survey, 1991-1994. | Chang MH et al. | 2009 | American journal of epidemiology |
| 19111454 | Genetic association analysis of COPD candidate genes with bronchodilator responsiveness. | Kim WJ et al. | 2009 | Respiratory medicine |
| 19131662 | A meta-analysis of candidate gene polymorphisms and ischemic stroke in 6 study populations: association of lymphotoxin-alpha in nonhypertensive patients. | Wang X et al. | 2009 | Stroke |
| 19186333 | Association of codon 16 and codon 27 beta 2-adrenergic receptor gene polymorphisms with obesity: a meta-analysis. | Jalba MS et al. | 2008 | Obesity (Silver Spring, Md.) |
| 19190821 | Association between polymorphisms in the beta2-adrenergic receptor gene with myocardial infarction and ischaemic stroke in women. | Schürks M et al. | 2009 | Thrombosis and haemostasis |
| 19263529 | Genetic risk factors in recurrent venous thromboembolism: A multilocus, population-based, prospective approach. | Zee RY et al. | 2009 | Clinica chimica acta; international journal of clinical chemistry |
| 19284637 | Polymorphisms in the ADRB2 gene and Graves disease: a case-control study and a meta-analysis of available evidence. | Chu X et al. | 2009 | BMC medical genetics |
| 19330901 | Association of 77 polymorphisms in 52 candidate genes with blood pressure progression and incident hypertension: the Women's Genome Health Study. | Conen D et al. | 2009 | Journal of hypertension |
| 19553224 | Trp64Arg polymorphism in ADRB3 gene is associated with elite endurance performance. | Santiago C et al. | 2011 | British journal of sports medicine |
| 19559392 | A candidate gene association study of 77 polymorphisms in migraine. | Schürks M et al. | 2009 | The journal of pain |
| 19565482 | Association of adrenergic receptor gene polymorphisms with different fibromyalgia syndrome domains. | Vargas-Alarcón G et al. | 2009 | Arthritis and rheumatism |
| 19576569 | Diverse evolutionary histories for beta-adrenoreceptor genes in humans. | Cagliani R et al. | 2009 | American journal of human genetics |
| 19619703 | Association of genetic variants with the metabolic syndrome in 20,806 white women: The Women's Health Genome Study. | Goulart AC et al. | 2009 | American heart journal |
| 19717003 | Pediatric obesity: etiology and treatment. | Crocker MK et al. | 2009 | Endocrinology and metabolism clinics of North America |
| 19736300 | Genetic basis of inter-individual variability in the effects of exercise on the alleviation of lifestyle-related diseases. | Mori M et al. | 2009 | The Journal of physiology |
| 19745160 | Trend tests for genetic association using population-based cross-sectional complex survey data. | She D et al. | 2010 | Biostatistics (Oxford, England) |
| 19779622 | No consistent effect of ADRB2 haplotypes on obesity, hypertension and quantitative traits of body fatness and blood pressure among 6,514 adult Danes. | Gjesing AP et al. | 2009 | PloS one |
| 19800676 | Adrenergic beta(2)-receptor genotype predisposes to exacerbations in steroid-treated asthmatic patients taking frequent albuterol or salmeterol. | Basu K et al. | 2009 | The Journal of allergy and clinical immunology |
| 19932356 | Effect of beta2-adrenergic receptor polymorphism on response to longacting beta2 agonist in asthma (LARGE trial): a genotype-stratified, randomised, placebo-controlled, crossover trial. | Wechsler ME et al. | 2009 | Lancet (London, England) |
| 19933216 | The COPD genetic association compendium: a comprehensive online database of COPD genetic associations. | Castaldi PJ et al. | 2010 | Human molecular genetics |
| 20044476 | Associations of polymorphisms of eight muscle- or metabolism-related genes with performance in Mount Olympus marathon runners. | Tsianos GI et al. | 2010 | Journal of applied physiology (Bethesda, Md. |
| 20049212 | Traffic-related air pollution, oxidative stress genes, and asthma (ECHRS). | Castro-Giner F et al. | 2009 | Environmental health perspectives |
| 20078877 | Gene polymorphisms in association with emerging cardiovascular risk markers in adult women. | Fan AZ et al. | 2010 | BMC medical genetics |
| 20167428 | Genetic variation in the beta2-adrenergic receptor but not catecholamine-O-methyltransferase predisposes to chronic pain: results from the 1958 British Birth Cohort Study. | Hocking LJ et al. | 2010 | Pain |
| 20230274 | Polymorphisms in the ACE and ADRB2 genes and risks of aging-associated phenotypes: the case of myocardial infarction. | Kulminski AM et al. | 2010 | Rejuvenation research |
| 20401335 | Sickle Cell Disease in the Post Genomic Era: A Monogenic Disease with a Polygenic Phenotype. | Driss A et al. | 2009 | Genomics insights |
| 20417488 | Association of fetal inflammation and coagulation pathway gene polymorphisms with neurodevelopmental delay at age 2 years. | Clark EA et al. | 2010 | American journal of obstetrics and gynecology |
| 20435227 | Clinical assessment incorporating a personal genome. | Ashley EA et al. | 2010 | Lancet (London, England) |
| 20521218 | Progress toward genetic tailoring of heart failure therapy. | Lillvis JH et al. | 2010 | Current opinion in molecular therapeutics |
| 20523301 | Role of β₂-adrenergic receptor polymorphisms on body weight and body composition response to energy restriction in obese women: preliminary results. | Ruiz JR et al. | 2011 | Obesity (Silver Spring, Md.) |
| 20525719 | Association of COPD candidate genes with computed tomography emphysema and airway phenotypes in severe COPD. | Kim WJ et al. | 2011 | The European respiratory journal |
| 20537997 | Genetic covariance between gamma-glutamyl transpeptidase and fatty liver risk factors: role of beta2-adrenergic receptor genetic variation in twins. | Loomba R et al. | 2010 | Gastroenterology |
| 20592916 | Pharmacogenomic approaches to asthma treatment. | Cho SH et al. | 2010 | Allergy, asthma & immunology research |
| 20810793 | Endothelial nitric oxide synthase gene variation associated with chronic kidney disease after liver transplant. | Bambha K et al. | 2010 | Mayo Clinic proceedings |
| 20816195 | Analyses of shared genetic factors between asthma and obesity in children. | Melén E et al. | 2010 | The Journal of allergy and clinical immunology |
| 20869266 | Single-nucleotide polymorphisms in the β-adrenergic receptor genes are associated with lung allograft utilization. | Sapru A et al. | 2011 | The Journal of heart and lung transplantation |
| 20941391 | Genetic variants and their interactions in the prediction of increased pre-clinical carotid atherosclerosis: the cardiovascular risk in young Finns study. | Okser S et al. | 2010 | PLoS genetics |
| 20981351 | Promoter Polymorphism of RGS2 Gene Is Associated with Change of Blood Pressure in Subjects with Antihypertensive Treatment: The Azelnidipine and Temocapril in Hypertensive Patients with Type 2 Diabetes Study. | Sugimoto K et al. | 2010 | International journal of hypertension |
| 21054877 | Inflammation gene variants and susceptibility to albuminuria in the U.S. population: analysis in the Third National Health and Nutrition Examination Survey (NHANES III), 1991-1994. | Ned RM et al. | 2010 | BMC medical genetics |
| 21233812 | ADRB2 and LEPR gene polymorphisms: synergistic effects on the risk of obesity in Japanese. | Pereira TV et al. | 2011 | Obesity (Silver Spring, Md.) |
| 21414566 | β2 adrenergic receptor polymorphisms and nocturnal blood pressure dipping status in the Wisconsin Sleep Cohort Study. | Vardeny O et al. | 2011 | Journal of the American Society of Hypertension |
| 21437030 | Genetics and cardiovascular system: influence of human genetic variants on vascular function. | Dias RG et al. | 2011 | Genes & nutrition |
| 21515823 | Genetic predictors for stroke in children with sickle cell anemia. | Flanagan JM et al. | 2011 | Blood |
| 21573014 | Genes involved in vasoconstriction and vasodilation system affect salt-sensitive hypertension. | Citterio L et al. | 2011 | PloS one |
| 21573230 | Clustering heart rate dynamics is associated with β-adrenergic receptor polymorphisms: analysis by information-based similarity index. | Yang AC et al. | 2011 | PloS one |
| 21613201 | The effect of maternal and fetal β2-adrenoceptor and nitric oxide synthase genotype on vasopressor requirement and fetal acid-base status during spinal anesthesia for cesarean delivery. | Landau R et al. | 2011 | Anesthesia and analgesia |
| 21807569 | β-1 and β-2 adrenergic receptor polymorphism and association with cardiovascular response to orthostatic screening. | Wittwer ED et al. | 2011 | Autonomic neuroscience |
| 21883537 | β2 -adrenergic receptor Thr164IIe polymorphism, blood pressure and ischaemic heart disease in 66 750 individuals. | Thomsen M et al. | 2012 | Journal of internal medicine |
| 21894447 | Are centenarians genetically predisposed to lower disease risk? | Ruiz JR et al. | 2012 | Age (Dordrecht, Netherlands) |
| 21981957 | Pediatric obesity: etiology and treatment. | Crocker MK et al. | 2011 | Pediatric clinics of North America |
| 22058430 | Genetic basis of pain variability: recent advances. | Young EE et al. | 2012 | Journal of medical genetics |
| 22355322 | Gene-gene and gene-environmental interactions of childhood asthma: a multifactor dimension reduction approach. | Su MW et al. | 2012 | PloS one |
| 22383665 | ADRB2 polymorphisms and budesonide/formoterol responses in COPD. | Bleecker ER et al. | 2012 | Chest |
| 22552919 | Bioinformatics and variability in drug response: a protein structural perspective. | Lahti JL et al. | 2012 | Journal of the Royal Society, Interface |
| 22624056 | Genetic variation in the β2-adrenocepter gene is associated with susceptibility to bacterial meningitis in adults. | Adriani KS et al. | 2012 | PloS one |
| 22769019 | Association of inflammatory gene polymorphisms with ischemic stroke in a Chinese Han population. | Zhao N et al. | 2012 | Journal of neuroinflammation |
| 22864926 | ADRB2 G-G haplotype associated with breast cancer risk among Hispanic and non-Hispanic white women: interaction with type 2 diabetes and obesity. | Connor A et al. | 2012 | Cancer causes & control |
| 22879966 | Systematic testing of literature reported genetic variation associated with coronary restenosis: results of the GENDER Study. | Verschuren JJ et al. | 2012 | PloS one |
| 22900502 | Association between β2-adrenoceptor (ADRB2) haplotypes and insulin resistance in PCOS. | Tellechea ML et al. | 2013 | Clinical endocrinology |
| 22985077 | Associations between genetic polymorphisms of beta-2 adrenergic receptor and preterm delivery in Korean women. | Suh YJ et al. | 2013 | American journal of reproductive immunology (New York, N.Y. |
| 22992668 | Pharmacogenomics knowledge for personalized medicine. | Whirl-Carrillo M et al. | 2012 | Clinical pharmacology and therapeutics |
| 23126384 | Tailored second-line therapy in asthmatic children with the Arg(16) genotype. | Lipworth BJ et al. | 2013 | Clinical science (London, England |
| 23229623 | ADRB2, brain white matter integrity and cognitive ageing in the Lothian Birth Cohort 1936. | Lyall DM et al. | 2013 | Behavior genetics |
| 23229733 | A functional SNP upstream of the beta-2 adrenergic receptor gene (ADRB2) is associated with obesity in Oceanic populations. | Naka I et al. | 2013 | International journal of obesity (2005) |
| 23267696 | Association of genetic polymorphisms with chronic obstructive pulmonary disease in the Chinese Han population: a case-control study. | Guo Y et al. | 2012 | BMC medical genomics |
| 23300409 | Chapter 7: Pharmacogenomics. | Karczewski KJ et al. | 2012 | PLoS computational biology |
| 23463918 | Childhood lung function and the association with β2-adrenergic receptor haplotypes. | Torjussen TM et al. | 2013 | Acta paediatrica (Oslo, Norway |
| 23766564 | Pharmacogenetics of chronic pain and its treatment. | Světlík S et al. | 2013 | Mediators of inflammation |
| 23786226 | Genetic variation in the beta-2 adrenergic receptor (ADRB2) predicts functional gastrointestinal diagnoses and poorer health-related quality of life. | Kushnir VM et al. | 2013 | Alimentary pharmacology & therapeutics |
| 23820649 | Where genotype is not predictive of phenotype: towards an understanding of the molecular basis of reduced penetrance in human inherited disease. | Cooper DN et al. | 2013 | Human genetics |
| 23912588 | Pharmacogenetics and the development of personalized approaches for combination therapy in asthma. | Miller SM et al. | 2013 | Current allergy and asthma reports |
| 24012958 | Single nucleotide polymorphisms of ADRB2 gene and their association with susceptibility for Plasmodium falciparum malaria and asthma in an Indian population. | Saadi AV et al. | 2013 | Infection, genetics and evolution |
| 24201779 | Genetic variability in energy balance and pancreatic cancer risk in a population-based case-control study in Minnesota. | Zhang J et al. | 2014 | Pancreas |
| 24279851 | Arg16 ADRB2 genotype increases the risk of asthma exacerbation in children with a reported use of long-acting β2-agonists: results of the PACMAN cohort. | Zuurhout MJ et al. | 2013 | Pharmacogenomics |
| 24392269 | Gene-Lifestyle Interactions in Obesity. | van Vliet-Ostaptchouk JV et al. | 2012 | Current nutrition reports |
| 24838642 | Single nucleotide polymorphisms predisposing to asthma in children of Mauritian Indian and Chinese Han ethnicity. | Ramphul K et al. | 2014 | Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologicas |
| 24879436 | Replication of 6 obesity genes in a meta-analysis of genome-wide association studies from diverse ancestries. | Tan LJ et al. | 2014 | PloS one |
| 24944790 | Screening for 392 polymorphisms in 141 pharmacogenes. | Kim JY et al. | 2014 | Biomedical reports |
| 24960039 | Association of Gln27Glu and Arg16Gly polymorphisms in Beta2-adrenergic receptor gene with obesity susceptibility: a meta-analysis. | Zhang H et al. | 2014 | PloS one |
| 25050782 | Effects of β2-adrenergic receptor gene polymorphisms on ritodrine therapy in pregnant women with preterm labor: prospective follow-up study. | Park JY et al. | 2014 | International journal of molecular sciences |
| 25111792 | Beta-2 adrenergic receptor (ADRB2) gene polymorphisms and the risk of asthma: a meta-analysis of case-control studies. | Liang SQ et al. | 2014 | PloS one |
| 25266489 | Genetic polymorphisms of VIP variants in the Tajik ethnic group of northwest China. | Zhang J et al. | 2014 | BMC genetics |
| 25682119 | Genetic factors associated with exercise performance in atmospheric hypoxia. | Hennis PJ et al. | 2015 | Sports medicine (Auckland, N.Z.) |
| 25761120 | A genetic predisposition score associates with reduced aerobic capacity in response to acute normobaric hypoxia in lowlanders. | Masschelein E et al. | 2015 | High altitude medicine & biology |
| 25876437 | Multifactor-dimensionality reduction reveals interaction of important gene variants involved in allergy. | de Guia RM et al. | 2015 | International journal of immunogenetics |
| 25894531 | Pharmacogenetic Effects of Inhaled Salbutamol on 10-km Time Trial Performance in Competitive Male and Female Cyclists. | Koch S et al. | 2016 | Clinical journal of sport medicine |
| 25910744 | Association of polymorphisms in the beta-2 adrenergic receptor gene with fracture risk and bone mineral density. | Veldhuis-Vlug AG et al. | 2015 | Osteoporosis international |
| 26091847 | Genetic polymorphisms of pharmacogenomic VIP variants in the Uygur population from northwestern China. | Wang L et al. | 2015 | BMC genetics |
| 26111150 | Association of the ADRB2 (rs2053044) polymorphism and angiotensin-converting enzyme-inhibitor blood pressure response in the African American Study of Kidney Disease and Hypertension. | Anthony EG et al. | 2015 | Pharmacogenetics and genomics |
| 26260058 | Two novel genetic variants in the mineralocorticoid receptor gene associated with spontaneous preterm birth. | Christiaens I et al. | 2015 | BMC medical genetics |
| 26369942 | β2-Adrenergic receptor promoter haplotype influences the severity of acute viral respiratory tract infection during infancy: a prospective cohort study. | Wu P et al. | 2015 | BMC medical genetics |
| 26373931 | Polymorphism profiling of nine high altitude relevant candidate gene loci in acclimatized sojourners and adapted natives. | Tomar A et al. | 2015 | BMC genetics |
| 26503814 | A genome-wide analysis of the response to inhaled β2-agonists in chronic obstructive pulmonary disease. | Hardin M et al. | 2016 | The pharmacogenomics journal |
| 26602751 | Association of β-Adrenergic Receptor Gene Polymorphisms With Acute Coronary Syndrome and Cardiovascular Risk Factors in an Arab Population. | El-Menyar A et al. | 2016 | Angiology |
| 26613553 | Four-locus gene interaction between IL13, IL4, FCER1B, and ADRB2 for asthma in Chinese Han children. | Hua L et al. | 2016 | Pediatric pulmonology |
| 26774659 | Childhood asthma exacerbations and the Arg16 β2-receptor polymorphism: A meta-analysis stratified by treatment. | Turner S et al. | 2016 | The Journal of allergy and clinical immunology |
| 26819062 | Characterizing redescriptions using persistent homology to isolate genetic pathways contributing to pathogenesis. | Platt DE et al. | 2016 | BMC systems biology |
| 26879662 | Impact of the β-1 adrenergic receptor polymorphism on tolerability and efficacy of bisoprolol therapy in Korean heart failure patients: association between β adrenergic receptor polymorphism and bisoprolol therapy in heart failure (ABBA) study. | Lee HY et al. | 2016 | The Korean journal of internal medicine |
| 26982741 | Single Nucleotide Variant rs2232710 in the Protein Z-Dependent Protease Inhibitor (ZPI, SERPINA10) Gene Is Not Associated with Deep Vein Thrombosis. | Gorski MM et al. | 2016 | PloS one |
| 27103841 | Personalized medicine and treatment approaches in hypertension: current perspectives. | Byrd JB et al. | 2016 | Integrated blood pressure control |
| 27233804 | Genetic polymorphisms of pharmacogenomic VIP variants in the Mongol of Northwestern China. | Jin T et al. | 2016 | BMC genetics |
| 27247849 | Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. | Kurita GP et al. | 2016 | Brain and behavior |
| 27274104 | A genetic-based algorithm for personalized resistance training. | Jones N et al. | 2016 | Biology of sport |
| 27277665 | Genetic risk factors for restenosis after percutaneous coronary intervention in Kazakh population. | Zholdybayeva EV et al. | 2016 | Human genomics |
| 27411394 | Shared genetic variants between serum levels of high-density lipoprotein cholesterol and wheezing in a cohort of children from Cyprus. | Yiallouros PK et al. | 2016 | Italian journal of pediatrics |
| 27601774 | Genetic variants influencing effectiveness of exercise training programmes in obesity - an overview of human studies. | Leońska-Duniec A et al. | 2016 | Biology of sport |
| 27616475 | Gene variants as risk factors for gastroschisis. | Padula AM et al. | 2016 | American journal of medical genetics. Part A |
| 27624002 | Allergy-specific Phenome-Wide Association Study for Immunogenes in Turkish Children. | Karaca S et al. | 2016 | Scientific reports |
| 27669015 | Adrenergic Receptor Polymorphism and Maximal Exercise Capacity after Orthotopic Heart Transplantation. | Métrich M et al. | 2016 | PloS one |
| 27798356 | Lack of replication of associations between multiple genetic polymorphisms and endurance athlete status in Japanese population. | Yvert T et al. | 2016 | Physiological reports |
| 27923785 | Genetic determination of the vascular reactions in humans in response to the diving reflex. | Baranova TI et al. | 2017 | American journal of physiology. Heart and circulatory physiology |
| 28198454 | Preliminary evidence for a role of the adrenergic nervous system in generalized anxiety disorder. | Zhang X et al. | 2017 | Scientific reports |
| 28293925 | Genetic Signatures of Asthma Exacerbation. | Park HW et al. | 2017 | Allergy, asthma & immunology research |
| 28294290 | Genetic Obesity Risk and Attenuation Effect of Physical Fitness in Mexican-Mestizo Population: a Case-Control Study. | Costa-Urrutia P et al. | 2017 | Annals of human genetics |
| 28327457 | Beta(2)-adrenergic receptor gene haplotypes and bronchodilator response in Egyptian patients with chronic obstructive pulmonary disease. | Hussein MH et al. | 2017 | Advances in medical sciences |
| 28350619 | Genetic determinants of essential hypertension in the population of Tatars from Russia. | Timasheva Y et al. | 2017 | Journal of hypertension |
| 28487959 | Identification of six polymorphisms as novel susceptibility loci for ischemic or hemorrhagic stroke by exome-wide association studies. | Yamada Y et al. | 2017 | International journal of molecular medicine |
| 29132297 | Association between ß2-adrenergic receptor gene polymorphisms and adverse events of ritodrine in the treatment of preterm labor: a prospective observational study. | Chung JE et al. | 2017 | BMC genetics |
| 29197114 | The correlation between SNPs within the gene of adrenergic receptor and neuropeptide Y and risk of cervical vertigo. | Han J et al. | 2018 | Journal of clinical laboratory analysis |
| 29205277 | Clinical and genetic factors are associated with pain and hospitalisation rates in sickle cell anaemia in Cameroon. | Wonkam A et al. | 2018 | British journal of haematology |
| 29331538 | Differential lipid metabolism outcomes associated with ADRB2 gene polymorphisms in response to two dietary interventions in overweight/obese subjects. | Ramos-Lopez O et al. | 2018 | Nutrition, metabolism, and cardiovascular diseases |
| 29550988 | Genetic variants conferring susceptibility to gastroschisis: a phenomenon restricted to the interaction with the environment? | Salinas-Torres VM et al. | 2018 | Pediatric surgery international |
| 29620176 | β2‑adrenergic receptor functionality and genotype in two different models of chronic inflammatory disease: Liver cirrhosis and osteoarthritis. | Roca R et al. | 2018 | Molecular medicine reports |
| 29703608 | Influence of SNPs in Genes that Modulate Lung Disease Severity in a Group of Mexican Patients with Cystic Fibrosis. | Yokoyama E et al. | 2018 | Archives of medical research |
| 29761786 | Association of a 4-Locus Gene Model Including IL13, IL4, FCER1B, and ADRB2 With the Asthma Predictive Index and Atopy in Chinese Han Children. | Bai S et al. | 2018 | Journal of investigational allergology & clinical immunology |
| 29876231 | Polymorphism of the ADRB2 Rs1042713 Gene is not Associated with Spontaneous Preterm Birth: Analyses in a Slovenian Sample and Meta Analysis. | A P et al. | 2017 | Balkan journal of medical genetics |
| 29992699 | Pharmacogenetics of inhaled long-acting beta2-agonists in asthma: A systematic review. | Slob EMA et al. | 2018 | Pediatric allergy and immunology |
| 30142673 | Metabolic Determinants of Impaired Pulmonary Function in Patients with Newly Diagnosed Type 2 Diabetes Mellitus. | Röhling M et al. | 2018 | Experimental and clinical endocrinology & diabetes |
| 30334910 | Leveraging electronic health records to assess the role of ADRB2 single nucleotide polymorphisms in predicting exacerbation frequency in asthma patients. | Sood N et al. | 2018 | Pharmacogenetics and genomics |
| 30387422 | [Genetic Polymorphisms Associated with the Onset of Arterial Hypertension in a Portuguese Population]. | Sousa AC et al. | 2018 | Acta medica portuguesa |
| 30409984 | Assessment of coding region variants in Kuwaiti population: implications for medical genetics and population genomics. | John SE et al. | 2018 | Scientific reports |
| 30425908 | ADRB2 Gene Polymorphisms and Salbutamol Responsiveness in Serbian Children with Asthma. | Jovicic N et al. | 2018 | Balkan journal of medical genetics |
| 30468638 | Beta(2)-adrenergic receptor variants in children and adolescents with bronchial asthma. | Toraih EA et al. | 2019 | Frontiers in bioscience (Elite edition) |
| 30485313 | The magnitude of Yo-Yo test improvements following an aerobic training intervention are associated with total genotype score. | Pickering C et al. | 2018 | PloS one |
| 30542705 | β‑blockers inhibit the viability of breast cancer cells by regulating the ERK/COX‑2 signaling pathway and the drug response is affected by ADRB2 single‑nucleotide polymorphisms. | Xie WY et al. | 2019 | Oncology reports |
| 30568487 | A single-nucleotide polymorphism of the beta 2-adrenergic receptor gene can predict pathological complete response to taxane- and platinum-based neoadjuvant chemotherapy in breast cancer. | Du Y et al. | 2018 | Breast cancer (Dove Medical Press) |
| 30668166 | β(2)-Adrenergic Receptor Gene Polymorphisms Are Associated with Cardiovascular Events But not All-Cause Mortality in Coronary Artery Disease Patients: A Meta-Analysis of Prospective Studies. | Li Y et al. | 2019 | Genetic testing and molecular biomarkers |
| 30774389 | Association of genetic variants with level of asthma control in the Arab population. | Almomani BA et al. | 2019 | Journal of asthma and allergy |
| 30837870 | Beta2-Adrenergic Receptor Polymorphisms and Haplotypes Associate With Chronic Pain in Sickle Cell Disease. | Jhun EH et al. | 2019 | Frontiers in pharmacology |
| 30972198 | Single nucleotide polymorphisms of let-7-related genes increase susceptibility to breast cancer. | Du Y et al. | 2019 | American journal of translational research |
| 31007954 | Association of ADRB2 rs1042713 with Obesity and Obesity-Related Phenotypes and Its Interaction with Dietary Fat in Modulating Glycaemic Indices in Malaysian Adults. | Mitra SR et al. | 2019 | Journal of nutrition and metabolism |
| 31056593 | POLYMORPHISMS IN β-ADRENERGIC RECEPTORS ARE ASSOCIATED WITH INCREASED RISK TO HAVE A POSITIVE HEAD-UP TILT TABLE TEST IN PATIENTS WITH VASOVAGAL SYNCOPE. | Márquez MF et al. | 2019 | Revista de investigacion clinica; organo del Hospital de Enfermedades de la Nutricion |
| 31090079 | β(2) -Adrenergic Receptor Gene Affects the Heart Rate Response of β-Blockers: Evidence From 3 Clinical Studies. | Shahin MH et al. | 2019 | Journal of clinical pharmacology |
| 31129315 | Systematic Review and Meta-Analysis of Genetic Risk of Developing Chronic Postsurgical Pain. | Chidambaran V et al. | 2020 | The journal of pain |
| 31264537 | Polymorphisms in COMT, ADRB2 and HTR1A genes are associated with temporomandibular disorders in individuals with other arthralgias. | Bonato LL et al. | 2021 | Cranio |
| 31285095 | Evaluation of genetic risk related to catechol-O-methyltransferase (COMT) and β2-adrenergic receptor (ADRB2) activity in different diagnostic subgroups of temporomandibular disorder in Brazilian patients. | de Souza Tesch R et al. | 2020 | International journal of oral and maxillofacial surgery |
| 31343553 | A Genome-Wide Association Study of Sprint Performance in Elite Youth Football Players. | Pickering C et al. | 2019 | Journal of strength and conditioning research |
| 31455332 | Dissecting genetic factors affecting phenylephrine infusion rates during anesthesia: a genome-wide association study employing EHR data. | Zhang Y et al. | 2019 | BMC medicine |
| 31481635 | β(2)-Adrenergic genotypes and risk of severe exacerbations in COPD: a prospective cohort study. | Ingebrigtsen TS et al. | 2019 | Thorax |
| 31538939 | The Influence of Beta-2 Adrenergic Receptor Gene Polymorphisms on Albuterol Therapy for Patients With Asthma: Protocol for a Systematic Review and Meta-Analysis. | Hikino K et al. | 2019 | JMIR research protocols |
| 31683975 | β(2)-Adrenergic Receptor (ADRB2) Gene Polymorphisms and Risk of COPD Exacerbations: The Rotterdam Study. | Karimi L et al. | 2019 | Journal of clinical medicine |
| 31699066 | Association of β2-adrenergic receptor gene polymorphisms (rs1042713, rs1042714, rs1042711) with asthma risk: a systematic review and updated meta-analysis. | Zhao S et al. | 2019 | BMC pulmonary medicine |
| 31949291 | Pharmacogenomic associations of adverse drug reactions in asthma: systematic review and research prioritisation. | King C et al. | 2020 | The pharmacogenomics journal |
| 32101872 | The Combined Effect of Polygenic Risk from FTO and ADRB2 Gene Variants, Odds of Obesity, and Post-Hipcref Diet Differences. | Tan PY et al. | 2020 | Lifestyle genomics |
| 32213001 | UEG Week 2019 Poster Presentations. | 2019 | United European gastroenterology journal | |
| 32459809 | Unique insights from ClinicalTrials.gov by mining protein mutations and RSids in addition to applying the Human Phenotype Ontology. | Alag S et al. | 2020 | PloS one |
| 32918113 | Influence of rs1042713 and rs1042714 polymorphisms of β2-adrenergic receptor gene with erythrocyte cAMP in sickle cell disease patients from Odisha State, India. | Sinha S et al. | 2020 | Annals of hematology |
| 33170161 | Genetic test for the prescription of diets in support of physical activity. | Naureen Z et al. | 2020 | Acta bio-medica |
| 33277970 | Association of a four-gene model with allergic diseases: Two-year follow-up of a birth cohort study. | Hua L et al. | 2021 | Immunity, inflammation and disease |
| 33451866 | Influence of ADRB1, ADRB2, and COMT Genetic Polymorphisms on Postoperative Outcomes of Patients Undergoing Cardiac Valve Surgery. | Dai S et al. | 2021 | Clinical therapeutics |
| 33458655 | Comparison of Beta-2 Adrenergic Receptor Gene Polymorphisms Between Patients with Fibromyalgia Syndrome and Healthy Controls. | Şen ÇakiroĞlu G et al. | 2020 | Archives of rheumatology |
| 33479111 | Asthma prescribing according to Arg16Gly beta-2 genotype: a randomised trial in adolescents. | Ruffles T et al. | 2021 | The European respiratory journal |
| 33519226 | Genetic Diversity of Drug-Related Genes in Native Americans of the Brazilian Amazon. | Fernandes MR et al. | 2021 | Pharmacogenomics and personalized medicine |
| 33546600 | Abdominal pain in patients with inflammatory bowel disease: association with single-nucleotide polymorphisms prevalent in irritable bowel syndrome and clinical management. | Ledergerber M et al. | 2021 | BMC gastroenterology |
| 33584143 | Influence of b2 adrenergic receptor polymorphism (rs1042713 and rs1042714) on anthropometric, hormonal and lipid profiles in polycystic ovarian syndrome. | Daghestani MH et al. | 2021 | Journal of medical biochemistry |
| 33659822 | The role of polymorphic variants of arginase genes (ARG1, ARG2) involved in beta-2-agonist metabolism in the development and course of asthma. | Savelieva ON et al. | 2020 | Vavilovskii zhurnal genetiki i selektsii |
| 33706416 | Genome-wide association studies of exacerbations in children using long-acting beta2-agonists. | Slob EMA et al. | 2021 | Pediatric allergy and immunology |
| 34090290 | ARG16GLY POLYMORPHISM IN THE β2-ADRENOCEPTOR GENE IN PATIENTS WITH BRONCHIAL ASTHMA. | Kachkovska VV et al. | 2021 | Wiadomosci lekarskie (Warsaw, Poland |
| 34131278 | Genetic polymorphisms associated with obesity in the Arab world: a systematic review. | Younes S et al. | 2021 | International journal of obesity (2005) |
| 34243801 | Gene-gene and gene-environment interactions on cord blood total IgE in Chinese Han children. | Hua L et al. | 2021 | Allergy, asthma, and clinical immunology |
| 34440404 | Genetic Profile in Genes Associated with Cardiorespiratory Fitness in Elite Spanish Male Endurance Athletes. | Varillas-Delgado D et al. | 2021 | Genes |
| 34638656 | Towards Understanding the Genetic Nature of Vasovagal Syncope. | Matveeva N et al. | 2021 | International journal of molecular sciences |
| 34713976 | β1-receptor polymorphisms and junctional ectopic tachycardia in children after cardiac surgery. | Dumeny L et al. | 2022 | Clinical and translational science |
| 35044333 | Single-nucleotide polymorphism of ADRβ2 and CDKN1B genes in Egyptian patients with coronary artery in-stent restenosis. | Abdelaziz TA et al. | 2022 | Coronary artery disease |
| 35099251 | Beta-adrenergic receptors gene polymorphisms are associated with cardiac contractility and blood pressure variability. | Matuskova L et al. | 2021 | Physiological research |
| 35199539 | Adrenergic receptors gene polymorphisms and autonomic nervous control of heart and vascular tone. | Matušková L et al. | 2021 | Physiological research |
| 35258481 | Genetic biomarkers of life-threatening pheochromocytoma-induced cardiomyopathy. | Amar J et al. | 2022 | Endocrine-related cancer |
| 35308505 | Vitamin D Supplementation and Genetic Polymorphisms Impact on Weight Loss Diet Outcomes in Caucasians: A Randomized Double-Blind Placebo-Controlled Clinical Study. | Xenos K et al. | 2022 | Frontiers in medicine |
| 35743738 | Pharmacogenomic Profile of Amazonian Amerindians. | Rodrigues JCG et al. | 2022 | Journal of personalized medicine |
| 36011305 | Single Nucleotide Polymorphisms in Amlodipine-Associated Genes and Their Correlation with Blood Pressure Control among South African Adults with Hypertension. | Masilela C et al. | 2022 | Genes |
| 36111412 | Clinical course of COPD in patients with Arg16Gly (rs1042713) polymorphism of <em>ADRB2</em> gene. | Dmytriiev K et al. | 2022 | Monaldi archives for chest disease = Archivio Monaldi per le malattie del torace |
| 36164570 | Prevalence of exposure to pharmacogenetic drugs by the Saudis treated at the health care centers of the Ministry of National Guard. | Alshabeeb MA et al. | 2022 | Saudi pharmaceutical journal |
| 36206635 | Dietary protein interacts with polygenic risk scores and modulates serum concentrations of C-reactive protein in overweight and obese Malaysian adults. | Tan PY et al. | 2022 | Nutrition research (New York, N.Y.) |
| 36479490 | Clinical assessment for diet prescription. | Kiani AK et al. | 2022 | Journal of preventive medicine and hygiene |
| 36776603 | Interactions between genetic and lifestyle factors on cardiometabolic disease-related outcomes in Latin American and Caribbean populations: A systematic review. | Wuni R et al. | 2023 | Frontiers in nutrition |
| 37228580 | Immunogenetics and pharmacogenetics of allergic asthma in Africa. | Mabelane T et al. | 2023 | Frontiers in allergy |
| 37851445 | Genetic Variation and Sickle Cell Disease Severity: A Systematic Review and Meta-Analysis. | Kirkham JK et al. | 2023 | JAMA network open |
Help
The Flanks tab provides retrieving flanking sequences of a SNP on all molecules that have placements.
Genome context:
Select flank length:
Genomic regions, transcripts, and products
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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.