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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.

rs1042717

Current Build 156

Released September 21, 2022

Organism
Homo sapiens
Position
chr5:148827083 (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=0.206983 (68501/330950, ALFA)
A=0.264222 (69937/264690, TOPMED)
A=0.245587 (34423/140166, GnomAD) (+ 25 more)
A=0.33718 (26536/78700, PAGE_STUDY)
A=0.40141 (11343/28258, 14KJPN)
A=0.39982 (6701/16760, 8.3KJPN)
A=0.24173 (3144/13006, GO-ESP)
A=0.3136 (2008/6404, 1000G_30x)
A=0.3147 (1576/5008, 1000G)
A=0.1752 (785/4480, Estonian)
A=0.2455 (1058/4310, PharmGKB)
A=0.1850 (713/3854, ALSPAC)
A=0.1869 (693/3708, TWINSUK)
A=0.4216 (1383/3280, PRJNA289433)
A=0.3454 (1012/2930, KOREAN)
A=0.3063 (579/1890, HapMap)
A=0.3472 (636/1832, Korea1K)
A=0.2716 (308/1134, Daghestan)
A=0.176 (176/998, GoNL)
A=0.331 (262/792, PRJEB37584)
A=0.368 (226/614, Vietnamese)
A=0.155 (93/600, NorthernSweden)
A=0.170 (91/534, MGP)
A=0.199 (60/302, FINRISK)
G=0.398 (113/284, SGDP_PRJ)
A=0.398 (86/216, Qatari)
A=0.15 (6/40, GENOME_DK)
G=0.44 (7/16, Siberian)
Clinical Significance
Reported in ClinVar
Gene : Consequence
ADRB2 : Synonymous Variant
Publications
15 citations
Genomic View
See rs on genome

ALFA Allele Frequency
The ALFA project provide aggregate allele frequency from dbGaP. More information is available on the project page including descriptions, data access, and terms of use.

Release Version: 20230706150541
Population Group Sample Size Ref Allele Alt Allele
Total Global 352436 G=0.791412 A=0.208588
European Sub 306322 G=0.803785 A=0.196215
African Sub 14560 G=0.68242 A=0.31758
African Others Sub 564 G=0.647 A=0.353
African American Sub 13996 G=0.68384 A=0.31616
Asian Sub 3986 G=0.6766 A=0.3234
East Asian Sub 3210 G=0.6583 A=0.3417
Other Asian Sub 776 G=0.753 A=0.247
Latin American 1 Sub 1424 G=0.7282 A=0.2718
Latin American 2 Sub 3178 G=0.6611 A=0.3389
South Asian Sub 5226 G=0.6600 A=0.3400
Other Sub 17740 G=0.76015 A=0.23985


Help

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
Allele Frequency Aggregator Total Global 330950 G=0.793017 A=0.206983
Allele Frequency Aggregator European Sub 293066 G=0.803423 A=0.196577
Allele Frequency Aggregator Other Sub 15490 G=0.76178 A=0.23822
Allele Frequency Aggregator African Sub 8580 G=0.6887 A=0.3113
Allele Frequency Aggregator South Asian Sub 5226 G=0.6600 A=0.3400
Allele Frequency Aggregator Asian Sub 3986 G=0.6766 A=0.3234
Allele Frequency Aggregator Latin American 2 Sub 3178 G=0.6611 A=0.3389
Allele Frequency Aggregator Latin American 1 Sub 1424 G=0.7282 A=0.2718
TopMed Global Study-wide 264690 G=0.735778 A=0.264222
gnomAD - Genomes Global Study-wide 140166 G=0.754413 A=0.245587
gnomAD - Genomes European Sub 75934 G=0.81294 A=0.18706
gnomAD - Genomes African Sub 41976 G=0.67672 A=0.32328
gnomAD - Genomes American Sub 13652 G=0.67836 A=0.32164
gnomAD - Genomes Ashkenazi Jewish Sub 3324 G=0.8032 A=0.1968
gnomAD - Genomes East Asian Sub 3130 G=0.6744 A=0.3256
gnomAD - Genomes Other Sub 2150 G=0.7279 A=0.2721
The PAGE Study Global Study-wide 78700 G=0.66282 A=0.33718
The PAGE Study AfricanAmerican Sub 32514 G=0.67469 A=0.32531
The PAGE Study Mexican Sub 10810 G=0.62451 A=0.37549
The PAGE Study Asian Sub 8318 G=0.6095 A=0.3905
The PAGE Study PuertoRican Sub 7918 G=0.7287 A=0.2713
The PAGE Study NativeHawaiian Sub 4534 G=0.5569 A=0.4431
The PAGE Study Cuban Sub 4230 G=0.7418 A=0.2582
The PAGE Study Dominican Sub 3828 G=0.6886 A=0.3114
The PAGE Study CentralAmerican Sub 2450 G=0.6159 A=0.3841
The PAGE Study SouthAmerican Sub 1982 G=0.6660 A=0.3340
The PAGE Study NativeAmerican Sub 1260 G=0.7492 A=0.2508
The PAGE Study SouthAsian Sub 856 G=0.659 A=0.341
14KJPN JAPANESE Study-wide 28258 G=0.59859 A=0.40141
8.3KJPN JAPANESE Study-wide 16760 G=0.60018 A=0.39982
GO Exome Sequencing Project Global Study-wide 13006 G=0.75827 A=0.24173
GO Exome Sequencing Project European American Sub 8600 G=0.8021 A=0.1979
GO Exome Sequencing Project African American Sub 4406 G=0.6727 A=0.3273
1000Genomes_30x Global Study-wide 6404 G=0.6864 A=0.3136
1000Genomes_30x African Sub 1786 G=0.6585 A=0.3415
1000Genomes_30x Europe Sub 1266 G=0.8041 A=0.1959
1000Genomes_30x South Asian Sub 1202 G=0.6498 A=0.3502
1000Genomes_30x East Asian Sub 1170 G=0.6299 A=0.3701
1000Genomes_30x American Sub 980 G=0.698 A=0.302
1000Genomes Global Study-wide 5008 G=0.6853 A=0.3147
1000Genomes African Sub 1322 G=0.6596 A=0.3404
1000Genomes East Asian Sub 1008 G=0.6359 A=0.3641
1000Genomes Europe Sub 1006 G=0.8012 A=0.1988
1000Genomes South Asian Sub 978 G=0.641 A=0.359
1000Genomes American Sub 694 G=0.700 A=0.300
Genetic variation in the Estonian population Estonian Study-wide 4480 G=0.8248 A=0.1752
PharmGKB Aggregated Global Study-wide 4310 G=0.7545 A=0.2455
PharmGKB Aggregated PA128523244 Sub 1954 G=0.7646 A=0.2354
PharmGKB Aggregated PA143089172 Sub 938 G=0.758 A=0.242
PharmGKB Aggregated PA129185703 Sub 698 G=0.745 A=0.255
PharmGKB Aggregated PA129947801 Sub 438 G=0.756 A=0.244
PharmGKB Aggregated PA129965075 Sub 192 G=0.693 A=0.307
PharmGKB Aggregated PA142648497 Sub 90 G=0.70 A=0.30
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 G=0.8150 A=0.1850
UK 10K study - Twins TWIN COHORT Study-wide 3708 G=0.8131 A=0.1869
MxGDAR/Encodat-PGx Global Study-wide 3280 G=0.5784 A=0.4216
MxGDAR/Encodat-PGx MxGDAR Sub 3280 G=0.5784 A=0.4216
KOREAN population from KRGDB KOREAN Study-wide 2930 G=0.6546 A=0.3454
HapMap Global Study-wide 1890 G=0.6937 A=0.3063
HapMap American Sub 770 G=0.716 A=0.284
HapMap African Sub 690 G=0.694 A=0.306
HapMap Asian Sub 254 G=0.591 A=0.409
HapMap Europe Sub 176 G=0.744 A=0.256
Korean Genome Project KOREAN Study-wide 1832 G=0.6528 A=0.3472
Genome-wide autozygosity in Daghestan Global Study-wide 1134 G=0.7284 A=0.2716
Genome-wide autozygosity in Daghestan Daghestan Sub 628 G=0.740 A=0.260
Genome-wide autozygosity in Daghestan Near_East Sub 142 G=0.739 A=0.261
Genome-wide autozygosity in Daghestan Central Asia Sub 122 G=0.607 A=0.393
Genome-wide autozygosity in Daghestan Europe Sub 108 G=0.769 A=0.231
Genome-wide autozygosity in Daghestan South Asian Sub 98 G=0.71 A=0.29
Genome-wide autozygosity in Daghestan Caucasus Sub 36 G=0.81 A=0.19
Genome of the Netherlands Release 5 Genome of the Netherlands Study-wide 998 G=0.824 A=0.176
CNV burdens in cranial meningiomas Global Study-wide 792 G=0.669 A=0.331
CNV burdens in cranial meningiomas CRM Sub 792 G=0.669 A=0.331
A Vietnamese Genetic Variation Database Global Study-wide 614 G=0.632 A=0.368
Northern Sweden ACPOP Study-wide 600 G=0.845 A=0.155
Medical Genome Project healthy controls from Spanish population Spanish controls Study-wide 534 G=0.830 A=0.170
FINRISK Finnish from FINRISK project Study-wide 302 G=0.801 A=0.199
SGDP_PRJ Global Study-wide 284 G=0.398 A=0.602
Qatari Global Study-wide 216 G=0.602 A=0.398
The Danish reference pan genome Danish Study-wide 40 G=0.85 A=0.15
Siberian Global Study-wide 16 G=0.44 A=0.56
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.148827083G>A
GRCh38.p14 chr 5 NC_000005.10:g.148827083G>C
GRCh37.p13 chr 5 NC_000005.9:g.148206646G>A
GRCh37.p13 chr 5 NC_000005.9:g.148206646G>C
ADRB2 RefSeqGene NG_016421.2:g.5491G>A
ADRB2 RefSeqGene NG_016421.2:g.5491G>C
Gene: ADRB2, adrenoceptor beta 2 (plus strand)
Molecule type Change Amino acid[Codon] SO Term
ADRB2 transcript NM_000024.6:c.252G>A L [CTG] > L [CTA] Coding Sequence Variant
beta-2 adrenergic receptor NP_000015.2:p.Leu84= L (Leu) > L (Leu) Synonymous Variant
ADRB2 transcript NM_000024.6:c.252G>C L [CTG] > L [CTC] Coding Sequence Variant
beta-2 adrenergic receptor NP_000015.2:p.Leu84= L (Leu) > L (Leu) Synonymous 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: A (allele ID: 1215437 )
ClinVar Accession Disease Names Clinical Significance
RCV001611030.3 not provided Benign
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.148827083= NC_000005.10:g.148827083G>A NC_000005.10:g.148827083G>C
GRCh37.p13 chr 5 NC_000005.9:g.148206646= NC_000005.9:g.148206646G>A NC_000005.9:g.148206646G>C
ADRB2 RefSeqGene NG_016421.2:g.5491= NG_016421.2:g.5491G>A NG_016421.2:g.5491G>C
ADRB2 transcript NM_000024.6:c.252= NM_000024.6:c.252G>A NM_000024.6:c.252G>C
ADRB2 transcript NM_000024.5:c.252= NM_000024.5:c.252G>A NM_000024.5:c.252G>C
beta-2 adrenergic receptor NP_000015.2:p.Leu84= NP_000015.2:p.Leu84= NP_000015.2:p.Leu84=
beta-2 adrenergic receptor NP_000015.1:p.Leu84= NP_000015.1:p.Leu84= NP_000015.1:p.Leu84=
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#.

170 SubSNP, 32 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 LEE ss1510180 Oct 05, 2000 (86)
2 WIPGA ss4915877 Aug 28, 2002 (108)
3 WIPGA ss4916128 Aug 28, 2002 (108)
4 HG_BONN_CNS_SNPS ss12586697 Aug 26, 2003 (117)
5 CGAP-GAI ss16227075 Feb 27, 2004 (120)
6 CSHL-HAPMAP ss17844515 Feb 27, 2004 (120)
7 CSHL-HAPMAP ss19626470 Feb 27, 2004 (120)
8 IMCJ-GDT ss22886617 Apr 05, 2004 (121)
9 PERLEGEN ss23763023 Sep 20, 2004 (123)
10 MGC_GENOME_DIFF ss28497724 Sep 24, 2004 (126)
11 MGC_GENOME_DIFF ss28512486 Sep 24, 2004 (126)
12 ABI ss44633823 Mar 11, 2006 (126)
13 PGA-UW-FHCRC ss46533169 Mar 11, 2006 (126)
14 APPLERA_GI ss48427715 Mar 11, 2006 (126)
15 UCSF_HG ss49783232 Mar 11, 2006 (126)
16 ILLUMINA ss65740196 Oct 16, 2006 (127)
17 PHARMGKB_PCE ss69365437 May 18, 2007 (127)
18 PHARMGKB_PHAT ss69368006 May 18, 2007 (127)
19 PHARMGKB_APP ss69369606 May 18, 2007 (127)
20 PHARMGKB_APP ss69369806 May 18, 2007 (127)
21 PHARMGKB_APP ss69370062 May 18, 2007 (127)
22 PHARMGKB_APP ss69370306 May 18, 2007 (127)
23 TAPPERS ss69371811 May 18, 2007 (127)
24 ILLUMINA ss74865151 Dec 06, 2007 (129)
25 HGSV ss80268554 Dec 15, 2007 (130)
26 BCMHGSC_JDW ss93286315 Mar 24, 2008 (129)
27 BGI ss104249463 Dec 01, 2009 (131)
28 1000GENOMES ss109502593 Jan 24, 2009 (130)
29 ILLUMINA-UK ss116853633 Feb 14, 2009 (130)
30 KRIBB_YJKIM ss119379474 Dec 01, 2009 (131)
31 ENSEMBL ss143519829 Dec 01, 2009 (131)
32 ILLUMINA ss152723840 Dec 01, 2009 (131)
33 GMI ss156154959 Dec 01, 2009 (131)
34 ILLUMINA ss159123189 Dec 01, 2009 (131)
35 SEATTLESEQ ss159710483 Dec 01, 2009 (131)
36 ILLUMINA ss159892650 Dec 01, 2009 (131)
37 ILLUMINA ss170065572 Jul 04, 2010 (132)
38 BUSHMAN ss201006937 Jul 04, 2010 (132)
39 BCM-HGSC-SUB ss207182837 Jul 04, 2010 (132)
40 1000GENOMES ss211733879 Jul 14, 2010 (132)
41 1000GENOMES ss222028645 Jul 14, 2010 (132)
42 1000GENOMES ss233192413 Jul 14, 2010 (132)
43 1000GENOMES ss240305955 Jul 15, 2010 (132)
44 BL ss253877621 May 09, 2011 (134)
45 RSG_JCVI ss262866274 May 09, 2011 (134)
46 GMI ss278525023 May 04, 2012 (137)
47 PJP ss293490464 May 09, 2011 (134)
48 NHLBI-ESP ss342193385 May 09, 2011 (134)
49 ILLUMINA ss479264303 May 04, 2012 (137)
50 ILLUMINA ss479267204 May 04, 2012 (137)
51 ILLUMINA ss479636448 Sep 08, 2015 (146)
52 ILLUMINA ss484432820 May 04, 2012 (137)
53 1000GENOMES ss490913371 May 04, 2012 (137)
54 CLINSEQ_SNP ss491875588 May 04, 2012 (137)
55 ILLUMINA ss536604148 Sep 08, 2015 (146)
56 TISHKOFF ss558785527 Apr 25, 2013 (138)
57 SSMP ss652689238 Apr 25, 2013 (138)
58 ILLUMINA ss778355638 Sep 08, 2015 (146)
59 ILLUMINA ss782662874 Sep 08, 2015 (146)
60 ILLUMINA ss783631756 Sep 08, 2015 (146)
61 ILLUMINA ss831913402 Sep 08, 2015 (146)
62 ILLUMINA ss832635908 Jul 13, 2019 (153)
63 ILLUMINA ss833810378 Sep 08, 2015 (146)
64 JMKIDD_LAB ss974457598 Aug 21, 2014 (142)
65 EVA-GONL ss982244498 Aug 21, 2014 (142)
66 JMKIDD_LAB ss1067472511 Aug 21, 2014 (142)
67 JMKIDD_LAB ss1073130454 Aug 21, 2014 (142)
68 1000GENOMES ss1317693452 Aug 21, 2014 (142)
69 HAMMER_LAB ss1397430769 Sep 08, 2015 (146)
70 DDI ss1430535521 Apr 01, 2015 (144)
71 EVA_GENOME_DK ss1581396236 Apr 01, 2015 (144)
72 EVA_FINRISK ss1584041840 Apr 01, 2015 (144)
73 EVA_DECODE ss1591776849 Apr 01, 2015 (144)
74 EVA_UK10K_ALSPAC ss1614268117 Apr 01, 2015 (144)
75 EVA_UK10K_TWINSUK ss1657262150 Apr 01, 2015 (144)
76 EVA_EXAC ss1688029190 Apr 01, 2015 (144)
77 EVA_EXAC ss1688029191 Apr 01, 2015 (144)
78 EVA_MGP ss1711101807 Apr 01, 2015 (144)
79 EVA_SVP ss1712809105 Apr 01, 2015 (144)
80 ILLUMINA ss1752555224 Sep 08, 2015 (146)
81 HAMMER_LAB ss1804132076 Sep 08, 2015 (146)
82 WEILL_CORNELL_DGM ss1925498523 Feb 12, 2016 (147)
83 ILLUMINA ss1946158855 Feb 12, 2016 (147)
84 ILLUMINA ss1958832775 Feb 12, 2016 (147)
85 JJLAB ss2023356561 Sep 14, 2016 (149)
86 USC_VALOUEV ss2151515053 Dec 20, 2016 (150)
87 HUMAN_LONGEVITY ss2279156592 Dec 20, 2016 (150)
88 SYSTEMSBIOZJU ss2626166629 Nov 08, 2017 (151)
89 ILLUMINA ss2634354529 Nov 08, 2017 (151)
90 ILLUMINA ss2635150171 Nov 08, 2017 (151)
91 GRF ss2707084333 Nov 08, 2017 (151)
92 ILLUMINA ss2711051571 Nov 08, 2017 (151)
93 GNOMAD ss2735340165 Nov 08, 2017 (151)
94 GNOMAD ss2747484756 Nov 08, 2017 (151)
95 GNOMAD ss2832147606 Nov 08, 2017 (151)
96 AFFY ss2985339162 Nov 08, 2017 (151)
97 AFFY ss2985970872 Nov 08, 2017 (151)
98 SWEGEN ss2997982679 Nov 08, 2017 (151)
99 ILLUMINA ss3022540968 Nov 08, 2017 (151)
100 BIOINF_KMB_FNS_UNIBA ss3025460094 Nov 08, 2017 (151)
101 CSHL ss3346678472 Nov 08, 2017 (151)
102 ILLUMINA ss3625886140 Oct 12, 2018 (152)
103 ILLUMINA ss3629367636 Oct 12, 2018 (152)
104 ILLUMINA ss3632277642 Oct 12, 2018 (152)
105 ILLUMINA ss3633393765 Oct 12, 2018 (152)
106 ILLUMINA ss3634115128 Oct 12, 2018 (152)
107 ILLUMINA ss3635027932 Oct 12, 2018 (152)
108 ILLUMINA ss3635796775 Oct 12, 2018 (152)
109 ILLUMINA ss3636741121 Oct 12, 2018 (152)
110 ILLUMINA ss3637549431 Oct 12, 2018 (152)
111 ILLUMINA ss3638587580 Oct 12, 2018 (152)
112 ILLUMINA ss3640735226 Oct 12, 2018 (152)
113 ILLUMINA ss3641186413 Oct 12, 2018 (152)
114 ILLUMINA ss3641483425 Oct 12, 2018 (152)
115 ILLUMINA ss3643531064 Oct 12, 2018 (152)
116 ILLUMINA ss3644891854 Oct 12, 2018 (152)
117 OMUKHERJEE_ADBS ss3646326218 Oct 12, 2018 (152)
118 ILLUMINA ss3653043948 Oct 12, 2018 (152)
119 ILLUMINA ss3654111348 Oct 12, 2018 (152)
120 EGCUT_WGS ss3665902717 Jul 13, 2019 (153)
121 EVA_DECODE ss3715930585 Jul 13, 2019 (153)
122 ILLUMINA ss3726280663 Jul 13, 2019 (153)
123 ACPOP ss3732916316 Jul 13, 2019 (153)
124 ILLUMINA ss3744261495 Jul 13, 2019 (153)
125 ILLUMINA ss3745328106 Jul 13, 2019 (153)
126 EVA ss3764207367 Jul 13, 2019 (153)
127 PAGE_CC ss3771239017 Jul 13, 2019 (153)
128 ILLUMINA ss3772822059 Jul 13, 2019 (153)
129 KHV_HUMAN_GENOMES ss3807376596 Jul 13, 2019 (153)
130 EVA ss3824127589 Apr 26, 2020 (154)
131 EVA ss3825682929 Apr 26, 2020 (154)
132 EVA ss3829561450 Apr 26, 2020 (154)
133 SGDP_PRJ ss3863219826 Apr 26, 2020 (154)
134 KRGDB ss3909894981 Apr 26, 2020 (154)
135 KOGIC ss3957872250 Apr 26, 2020 (154)
136 FSA-LAB ss3984319577 Apr 26, 2021 (155)
137 FSA-LAB ss3984319578 Apr 26, 2021 (155)
138 EVA ss3984448337 Apr 26, 2021 (155)
139 EVA ss3984556073 Apr 26, 2021 (155)
140 EVA ss3986032112 Apr 26, 2021 (155)
141 EVA ss3986324014 Apr 26, 2021 (155)
142 TOPMED ss4682905285 Apr 26, 2021 (155)
143 TOMMO_GENOMICS ss5174683009 Apr 26, 2021 (155)
144 EVA ss5237017013 Apr 26, 2021 (155)
145 EVA ss5237187695 Apr 26, 2021 (155)
146 EVA ss5237381713 Apr 26, 2021 (155)
147 EVA ss5237644490 Oct 13, 2022 (156)
148 1000G_HIGH_COVERAGE ss5266260627 Oct 13, 2022 (156)
149 TRAN_CS_UWATERLOO ss5314414100 Oct 13, 2022 (156)
150 EVA ss5315094241 Oct 13, 2022 (156)
151 EVA ss5361730399 Oct 13, 2022 (156)
152 HUGCELL_USP ss5464182330 Oct 13, 2022 (156)
153 EVA ss5508253270 Oct 13, 2022 (156)
154 1000G_HIGH_COVERAGE ss5551124920 Oct 13, 2022 (156)
155 EVA ss5624151365 Oct 13, 2022 (156)
156 SANFORD_IMAGENETICS ss5624604686 Oct 13, 2022 (156)
157 SANFORD_IMAGENETICS ss5639116927 Oct 13, 2022 (156)
158 TOMMO_GENOMICS ss5711918957 Oct 13, 2022 (156)
159 EVA ss5799665361 Oct 13, 2022 (156)
160 EVA ss5800124847 Oct 13, 2022 (156)
161 YY_MCH ss5806865898 Oct 13, 2022 (156)
162 EVA ss5835802316 Oct 13, 2022 (156)
163 EVA ss5847276598 Oct 13, 2022 (156)
164 EVA ss5848069002 Oct 13, 2022 (156)
165 EVA ss5848637781 Oct 13, 2022 (156)
166 EVA ss5855064164 Oct 13, 2022 (156)
167 EVA ss5896806221 Oct 13, 2022 (156)
168 EVA ss5967595845 Oct 13, 2022 (156)
169 EVA ss5979758248 Oct 13, 2022 (156)
170 EVA ss5981231094 Oct 13, 2022 (156)
171 1000Genomes NC_000005.9 - 148206646 Oct 12, 2018 (152)
172 1000Genomes_30x NC_000005.10 - 148827083 Oct 13, 2022 (156)
173 The Avon Longitudinal Study of Parents and Children NC_000005.9 - 148206646 Oct 12, 2018 (152)
174 Genome-wide autozygosity in Daghestan NC_000005.8 - 148186839 Apr 26, 2020 (154)
175 Genetic variation in the Estonian population NC_000005.9 - 148206646 Oct 12, 2018 (152)
176 ExAC

Submission ignored due to conflicting rows:
Row 8038275 (NC_000005.9:148206645:G:G 89650/120730, NC_000005.9:148206645:G:A 31080/120730)
Row 8038276 (NC_000005.9:148206645:G:G 120729/120730, NC_000005.9:148206645:G:C 1/120730)

- Oct 12, 2018 (152)
177 ExAC

Submission ignored due to conflicting rows:
Row 8038275 (NC_000005.9:148206645:G:G 89650/120730, NC_000005.9:148206645:G:A 31080/120730)
Row 8038276 (NC_000005.9:148206645:G:G 120729/120730, NC_000005.9:148206645:G:C 1/120730)

- Oct 12, 2018 (152)
178 FINRISK NC_000005.9 - 148206646 Apr 26, 2020 (154)
179 The Danish reference pan genome NC_000005.9 - 148206646 Apr 26, 2020 (154)
180 gnomAD - Genomes NC_000005.10 - 148827083 Apr 26, 2021 (155)
181 gnomAD - Exomes

Submission ignored due to conflicting rows:
Row 4471296 (NC_000005.9:148206645:G:G 186463/250862, NC_000005.9:148206645:G:A 64399/250862)
Row 4471297 (NC_000005.9:148206645:G:G 250861/250862, NC_000005.9:148206645:G:C 1/250862)

- Jul 13, 2019 (153)
182 gnomAD - Exomes

Submission ignored due to conflicting rows:
Row 4471296 (NC_000005.9:148206645:G:G 186463/250862, NC_000005.9:148206645:G:A 64399/250862)
Row 4471297 (NC_000005.9:148206645:G:G 250861/250862, NC_000005.9:148206645:G:C 1/250862)

- Jul 13, 2019 (153)
183 GO Exome Sequencing Project NC_000005.9 - 148206646 Oct 12, 2018 (152)
184 Genome of the Netherlands Release 5 NC_000005.9 - 148206646 Apr 26, 2020 (154)
185 HapMap NC_000005.10 - 148827083 Apr 26, 2020 (154)
186 KOREAN population from KRGDB NC_000005.9 - 148206646 Apr 26, 2020 (154)
187 Korean Genome Project NC_000005.10 - 148827083 Apr 26, 2020 (154)
188 Medical Genome Project healthy controls from Spanish population NC_000005.9 - 148206646 Apr 26, 2020 (154)
189 Northern Sweden NC_000005.9 - 148206646 Jul 13, 2019 (153)
190 The PAGE Study NC_000005.10 - 148827083 Jul 13, 2019 (153)
191 CNV burdens in cranial meningiomas NC_000005.9 - 148206646 Apr 26, 2021 (155)
192 MxGDAR/Encodat-PGx NC_000005.9 - 148206646 Apr 26, 2021 (155)
193 PharmGKB Aggregated NC_000005.10 - 148827083 Apr 26, 2020 (154)
194 Qatari NC_000005.9 - 148206646 Apr 26, 2020 (154)
195 SGDP_PRJ NC_000005.9 - 148206646 Apr 26, 2020 (154)
196 Siberian NC_000005.9 - 148206646 Apr 26, 2020 (154)
197 8.3KJPN NC_000005.9 - 148206646 Apr 26, 2021 (155)
198 14KJPN NC_000005.10 - 148827083 Oct 13, 2022 (156)
199 TopMed NC_000005.10 - 148827083 Apr 26, 2021 (155)
200 UK 10K study - Twins NC_000005.9 - 148206646 Oct 12, 2018 (152)
201 A Vietnamese Genetic Variation Database NC_000005.9 - 148206646 Jul 13, 2019 (153)
202 ALFA NC_000005.10 - 148827083 Apr 26, 2021 (155)
203 ClinVar RCV001611030.3 Oct 13, 2022 (156)
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)
rs3729605 Oct 08, 2002 (108)
rs17287397 Mar 11, 2006 (126)
rs17287481 Mar 11, 2006 (126)
rs17334214 Mar 11, 2006 (126)
rs17845339 Mar 11, 2006 (126)
rs17858184 Mar 11, 2006 (126)
rs59974036 May 25, 2008 (130)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
405582, ss80268554, ss93286315, ss109502593, ss116853633, ss201006937, ss207182837, ss211733879, ss253877621, ss278525023, ss293490464, ss479264303, ss491875588, ss1397430769, ss1591776849, ss1712809105, ss2635150171, ss3643531064 NC_000005.8:148186838:G:A NC_000005.10:148827082:G:A (self)
29388926, 16351766, 11640965, 38301, 7561175, 585680, 7260318, 17072375, 217567, 6201181, 105445, 1338, 7540453, 15236806, 4031407, 32652316, 16351766, 3624068, ss222028645, ss233192413, ss240305955, ss342193385, ss479267204, ss479636448, ss484432820, ss490913371, ss536604148, ss558785527, ss652689238, ss778355638, ss782662874, ss783631756, ss831913402, ss832635908, ss833810378, ss974457598, ss982244498, ss1067472511, ss1073130454, ss1317693452, ss1430535521, ss1581396236, ss1584041840, ss1614268117, ss1657262150, ss1688029190, ss1711101807, ss1752555224, ss1804132076, ss1925498523, ss1946158855, ss1958832775, ss2023356561, ss2151515053, ss2626166629, ss2634354529, ss2707084333, ss2711051571, ss2735340165, ss2747484756, ss2832147606, ss2985339162, ss2985970872, ss2997982679, ss3022540968, ss3346678472, ss3625886140, ss3629367636, ss3632277642, ss3633393765, ss3634115128, ss3635027932, ss3635796775, ss3636741121, ss3637549431, ss3638587580, ss3640735226, ss3641186413, ss3641483425, ss3644891854, ss3646326218, ss3653043948, ss3654111348, ss3665902717, ss3732916316, ss3744261495, ss3745328106, ss3764207367, ss3772822059, ss3824127589, ss3825682929, ss3829561450, ss3863219826, ss3909894981, ss3984319577, ss3984319578, ss3984448337, ss3984556073, ss3986032112, ss3986324014, ss5174683009, ss5237381713, ss5315094241, ss5361730399, ss5508253270, ss5624151365, ss5624604686, ss5639116927, ss5799665361, ss5800124847, ss5835802316, ss5847276598, ss5848069002, ss5848637781, ss5967595845, ss5979758248, ss5981231094 NC_000005.9:148206645:G:A NC_000005.10:148827082:G:A (self)
RCV001611030.3, 38650855, 207885767, 2992219, 14250251, 460486, 10506, 45756061, 520282842, 7964594140, ss2279156592, ss3025460094, ss3715930585, ss3726280663, ss3771239017, ss3807376596, ss3957872250, ss4682905285, ss5237017013, ss5237187695, ss5237644490, ss5266260627, ss5314414100, ss5464182330, ss5551124920, ss5711918957, ss5806865898, ss5855064164, ss5896806221 NC_000005.10:148827082:G:A NC_000005.10:148827082:G:A (self)
ss17844515, ss19626470 NT_029289.10:9369581:G:A NC_000005.10:148827082:G:A (self)
ss1510180, ss4915877, ss4916128, ss12586697, ss16227075, ss22886617, ss23763023, ss28497724, ss28512486, ss44633823, ss46533169, ss48427715, ss49783232, ss65740196, ss69365437, ss69368006, ss69369606, ss69369806, ss69370062, ss69370306, ss69371811, ss74865151, ss104249463, ss119379474, ss143519829, ss152723840, ss156154959, ss159123189, ss159710483, ss159892650, ss170065572, ss262866274 NT_029289.11:9369572:G:A NC_000005.10:148827082:G:A (self)
ss1688029191, ss2735340165 NC_000005.9:148206645:G:C NC_000005.10:148827082: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.

15 citations for rs1042717
PMID Title Author Year Journal
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
18640383 Genotypes and haplotypes of beta2-adrenergic receptor and parameters of the metabolic syndrome in Korean adolescents. Park HS et al. 2008 Metabolism
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
19111454 Genetic association analysis of COPD candidate genes with bronchodilator responsiveness. Kim WJ et al. 2009 Respiratory medicine
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
19850944 beta2-Adrenergic receptor gene polymorphism is associated with mortality in septic shock. Nakada TA et al. 2010 American journal of respiratory and critical care medicine
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
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
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
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
27247849 Genetic variation and cognitive dysfunction in opioid-treated patients with cancer. Kurita GP et al. 2016 Brain and behavior
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
31790415 Genetic variability of five ADRB2 polymorphisms among Mexican Amerindian ethnicities and the Mestizo population. Salas-Martínez MG et al. 2019 PloS one
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
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
Top Help

NCBI Graphical Sequence Viewer display of the genomic region, transcripts and protein products for the reported RefSNP (rs).
Use the zoom option to view the nucleotides around the RefSNP and find other neighboring RefSNPs.
Visit Sequence Viewer for help with navigating inside the display and modifying the selection of displayed data tracks.

Software version is: 2.0.1.post761+d5e8e07