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dbSNP Short Genetic Variations

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.


Current Build 153

Released July 9, 2019

Homo sapiens
chr8:37966280 (GRCh38.p12) 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.

Variation Type
SNV Single Nucleotide Variation
G=0.10617 (26242/247172, GnomAD_exome)
G=0.09385 (11785/125568, TOPMED)
G=0.10568 (12257/115984, ExAC) (+ 8 more)
G=0.1273 (10015/78688, PAGE_STUDY)
G=0.0903 (2833/31358, GnomAD)
G=0.115 (576/5008, 1000G)
G=0.070 (315/4480, Estonian)
G=0.076 (292/3854, ALSPAC)
G=0.072 (267/3708, TWINSUK)
G=0.11 (65/616, Vietnamese)
G=0.07 (44/600, NorthernSweden)
Clinical Significance
Reported in ClinVar
Gene : Consequence
ADRB3 : Missense Variant
69 citations
Genomic View
See rs on genome

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.p12 chr 8 NC_000008.11:g.37966280A>G
GRCh37.p13 chr 8 NC_000008.10:g.37823798A>G
ADRB3 RefSeqGene NG_011936.1:g.5387T>C
Gene: ADRB3, adrenoceptor beta 3 (minus strand)
Molecule type Change Amino acid[Codon] SO Term
ADRB3 transcript NM_000025.3:c.190T>C W [TGG] > R [CGG] Coding Sequence Variant
beta-3 adrenergic receptor NP_000016.1:p.Trp64Arg W (Trp) > R (Arg) Missense Variant

Clinical Significance tab shows a list of clinical significance entries from ClinVar associated with the variation, per allele. Click on the RCV accession (i.e. RCV000001615.2) or Allele ID (i.e. 12274) to access full ClinVar report.

Allele: G (allele ID: 32780 )
ClinVar Accession Disease Names Clinical Significance
RCV000033197.2 Obesity Risk-Factor

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").

Study Population Group Sample Size Ref Allele Alt Allele
gnomAD - Exomes Global Study-wide 247172 A=0.89383 G=0.10617
gnomAD - Exomes European Sub 132156 A=0.92501 G=0.07499
gnomAD - Exomes Asian Sub 48616 A=0.8664 G=0.1336
gnomAD - Exomes American Sub 34364 A=0.7947 G=0.2053
gnomAD - Exomes African Sub 15962 A=0.8929 G=0.1071
gnomAD - Exomes Ashkenazi Jewish Sub 9996 A=0.952 G=0.048
gnomAD - Exomes Other Sub 6078 A=0.903 G=0.097
TopMed Global Study-wide 125568 A=0.90615 G=0.09385
ExAC Global Study-wide 115984 A=0.89432 G=0.10568
ExAC Europe Sub 69716 A=0.9240 G=0.0760
ExAC Asian Sub 24712 A=0.8654 G=0.1346
ExAC American Sub 11220 A=0.7799 G=0.2201
ExAC African Sub 9512 A=0.887 G=0.113
ExAC Other Sub 824 A=0.89 G=0.11
The PAGE Study Global Study-wide 78688 A=0.8727 G=0.1273
The PAGE Study AfricanAmerican Sub 32502 A=0.8955 G=0.1045
The PAGE Study Mexican Sub 10810 A=0.8254 G=0.1746
The PAGE Study Asian Sub 8318 A=0.824 G=0.176
The PAGE Study PuertoRican Sub 7918 A=0.887 G=0.113
The PAGE Study NativeHawaiian Sub 4534 A=0.888 G=0.112
The PAGE Study Cuban Sub 4230 A=0.908 G=0.092
The PAGE Study Dominican Sub 3828 A=0.892 G=0.108
The PAGE Study CentralAmerican Sub 2450 A=0.817 G=0.183
The PAGE Study SouthAmerican Sub 1982 A=0.830 G=0.170
The PAGE Study NativeAmerican Sub 1260 A=0.875 G=0.125
The PAGE Study SouthAsian Sub 856 A=0.86 G=0.14
gnomAD - Genomes Global Study-wide 31358 A=0.9097 G=0.0903
gnomAD - Genomes European Sub 18874 A=0.9247 G=0.0753
gnomAD - Genomes African Sub 8700 A=0.893 G=0.107
gnomAD - Genomes East Asian Sub 1560 A=0.867 G=0.133
gnomAD - Genomes Other Sub 1086 A=0.903 G=0.097
gnomAD - Genomes American Sub 848 A=0.82 G=0.18
gnomAD - Genomes Ashkenazi Jewish Sub 290 A=0.94 G=0.06
1000Genomes Global Study-wide 5008 A=0.885 G=0.115
1000Genomes African Sub 1322 A=0.905 G=0.095
1000Genomes East Asian Sub 1008 A=0.869 G=0.131
1000Genomes Europe Sub 1006 A=0.918 G=0.082
1000Genomes South Asian Sub 978 A=0.84 G=0.16
1000Genomes American Sub 694 A=0.88 G=0.12
Genetic variation in the Estonian population Estonian Study-wide 4480 A=0.930 G=0.070
The Avon Longitudinal Study of Parents and Children PARENT AND CHILD COHORT Study-wide 3854 A=0.924 G=0.076
UK 10K study - Twins TWIN COHORT Study-wide 3708 A=0.928 G=0.072
A Vietnamese Genetic Variation Database Global Study-wide 616 A=0.89 G=0.11
Northern Sweden ACPOP Study-wide 600 A=0.93 G=0.07

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 A= G Note
GRCh38.p12 chr 8 NC_000008.11:g.37966280= NC_000008.11:g.37966280A>G
GRCh37.p13 chr 8 NC_000008.10:g.37823798= NC_000008.10:g.37823798A>G
ADRB3 RefSeqGene NG_011936.1:g.5387= NG_011936.1:g.5387T>C
ADRB3 transcript NM_000025.3:c.190= NM_000025.3:c.190T>C
ADRB3 transcript NM_000025.2:c.190= NM_000025.2:c.190T>C
beta-3 adrenergic receptor NP_000016.1:p.Trp64= NP_000016.1:p.Trp64Arg

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#.

112 SubSNP, 11 Frequency, 1 ClinVar submissions
No Submitter Submission ID Date (Build)
1 ARAVINDA ss6434 Sep 19, 2000 (52)
2 WIAF ss19434 Sep 19, 2000 (92)
3 YUSUKE ss2985134 Jun 15, 2001 (96)
4 SNP500CANCER ss8819655 Jul 02, 2003 (116)
5 SEQUENOM ss24795952 Sep 20, 2004 (123)
6 SEQUENOM ss24811637 Sep 20, 2004 (123)
7 PGA-UW-FHCRC ss46533212 Mar 13, 2006 (126)
8 BROAD_DGAP ss69355950 May 17, 2007 (127)
9 PHARMGKB_PHAT ss69366475 May 17, 2007 (127)
10 PHARMGKB_APP ss69370727 May 17, 2007 (127)
11 ILLUMINA ss74911466 Dec 06, 2007 (129)
12 CORNELL ss86241429 Mar 23, 2008 (129)
13 1000GENOMES ss107963793 Jan 22, 2009 (130)
14 1000GENOMES ss115287999 Jan 25, 2009 (130)
15 KRIBB_YJKIM ss119337502 Dec 01, 2009 (131)
16 SEATTLESEQ ss159716822 Dec 01, 2009 (131)
17 ILLUMINA ss160736085 Dec 01, 2009 (131)
18 COMPLETE_GENOMICS ss164451162 Jul 04, 2010 (132)
19 ILLUMINA ss173904450 Jul 04, 2010 (132)
20 BUSHMAN ss199049324 Jul 04, 2010 (132)
21 1000GENOMES ss223657511 Jul 14, 2010 (132)
22 1000GENOMES ss234403270 Jul 15, 2010 (132)
23 1000GENOMES ss241267103 Jul 15, 2010 (132)
24 OMICIA ss244238687 Aug 29, 2012 (137)
25 ILLUMINA ss244302575 Jul 04, 2010 (132)
26 OMIM-CURATED-RECORDS ss263197785 Nov 04, 2010 (133)
27 GMI ss279773136 May 04, 2012 (137)
28 NHLBI-ESP ss342257129 May 09, 2011 (134)
29 ILLUMINA ss481126790 May 04, 2012 (137)
30 ILLUMINA ss481148935 May 04, 2012 (137)
31 ILLUMINA ss482137935 Sep 08, 2015 (146)
32 ILLUMINA ss485358464 May 04, 2012 (137)
33 1000GENOMES ss490963705 May 04, 2012 (137)
34 GSK-GENETICS ss491276912 May 04, 2012 (137)
35 EXOME_CHIP ss491412621 May 04, 2012 (137)
36 CLINSEQ_SNP ss491924027 May 04, 2012 (137)
37 ILLUMINA ss536360005 Sep 08, 2015 (146)
38 TISHKOFF ss560689489 Apr 25, 2013 (138)
39 SSMP ss655123352 Apr 25, 2013 (138)
40 ILLUMINA ss778555775 Sep 08, 2015 (146)
41 ILLUMINA ss780869296 Aug 21, 2014 (142)
42 ILLUMINA ss783124941 Sep 08, 2015 (146)
43 ILLUMINA ss783554313 Aug 21, 2014 (142)
44 ILLUMINA ss784081586 Sep 08, 2015 (146)
45 ILLUMINA ss832383766 Sep 08, 2015 (146)
46 ILLUMINA ss834012568 Sep 08, 2015 (146)
47 EVA-GONL ss985411734 Aug 21, 2014 (142)
48 JMKIDD_LAB ss1067497130 Aug 21, 2014 (142)
49 JMKIDD_LAB ss1075445055 Aug 21, 2014 (142)
50 1000GENOMES ss1329449329 Aug 21, 2014 (142)
51 EVA_GENOME_DK ss1582647113 Apr 01, 2015 (144)
52 EVA_FINRISK ss1584058101 Apr 01, 2015 (144)
53 EVA_DECODE ss1595008688 Apr 01, 2015 (144)
54 EVA_UK10K_ALSPAC ss1620422247 Apr 01, 2015 (144)
55 EVA_UK10K_TWINSUK ss1663416280 Apr 01, 2015 (144)
56 EVA_EXAC ss1689166523 Apr 01, 2015 (144)
57 EVA_MGP ss1711198682 Apr 01, 2015 (144)
58 EVA_SVP ss1713030911 Apr 01, 2015 (144)
59 ILLUMINA ss1752730772 Sep 08, 2015 (146)
60 ILLUMINA ss1752730773 Sep 08, 2015 (146)
61 HAMMER_LAB ss1805493185 Sep 08, 2015 (146)
62 ILLUMINA ss1917827829 Feb 12, 2016 (147)
63 WEILL_CORNELL_DGM ss1928701068 Feb 12, 2016 (147)
64 ILLUMINA ss1946234956 Feb 12, 2016 (147)
65 ILLUMINA ss1959104415 Feb 12, 2016 (147)
66 JJLAB ss2025053274 Sep 14, 2016 (149)
67 USC_VALOUEV ss2153274145 Dec 20, 2016 (150)
68 HUMAN_LONGEVITY ss2302410712 Dec 20, 2016 (150)
69 TOPMED ss2472073716 Dec 20, 2016 (150)
70 SYSTEMSBIOZJU ss2627009187 Nov 08, 2017 (151)
71 ILLUMINA ss2634737497 Nov 08, 2017 (151)
72 GRF ss2709039533 Nov 08, 2017 (151)
73 GNOMAD ss2737107742 Nov 08, 2017 (151)
74 GNOMAD ss2748034079 Nov 08, 2017 (151)
75 GNOMAD ss2865598134 Nov 08, 2017 (151)
76 AFFY ss2985436753 Nov 08, 2017 (151)
77 AFFY ss2986080645 Nov 08, 2017 (151)
78 SWEGEN ss3003013374 Nov 08, 2017 (151)
79 ILLUMINA ss3022838311 Nov 08, 2017 (151)
80 BIOINF_KMB_FNS_UNIBA ss3026316191 Nov 08, 2017 (151)
81 CSHL ss3348139158 Nov 08, 2017 (151)
82 TOPMED ss3559337515 Nov 08, 2017 (151)
83 ILLUMINA ss3630042832 Oct 12, 2018 (152)
84 ILLUMINA ss3630042833 Oct 12, 2018 (152)
85 ILLUMINA ss3632637071 Oct 12, 2018 (152)
86 ILLUMINA ss3633498242 Oct 12, 2018 (152)
87 ILLUMINA ss3634224898 Oct 12, 2018 (152)
88 ILLUMINA ss3635168340 Oct 12, 2018 (152)
89 ILLUMINA ss3635168341 Oct 12, 2018 (152)
90 ILLUMINA ss3635903749 Oct 12, 2018 (152)
91 ILLUMINA ss3636905702 Oct 12, 2018 (152)
92 ILLUMINA ss3637656912 Oct 12, 2018 (152)
93 ILLUMINA ss3638755586 Oct 12, 2018 (152)
94 ILLUMINA ss3640875630 Oct 12, 2018 (152)
95 ILLUMINA ss3640875631 Oct 12, 2018 (152)
96 ILLUMINA ss3643686799 Oct 12, 2018 (152)
97 ILLUMINA ss3644968161 Oct 12, 2018 (152)
98 OMUKHERJEE_ADBS ss3646374530 Oct 12, 2018 (152)
99 ILLUMINA ss3653379847 Oct 12, 2018 (152)
100 ILLUMINA ss3654198912 Oct 12, 2018 (152)
101 EGCUT_WGS ss3670707018 Jul 13, 2019 (153)
102 EVA_DECODE ss3721822192 Jul 13, 2019 (153)
103 ILLUMINA ss3726531334 Jul 13, 2019 (153)
104 ACPOP ss3735581559 Jul 13, 2019 (153)
105 ILLUMINA ss3744579348 Jul 13, 2019 (153)
106 ILLUMINA ss3745468152 Jul 13, 2019 (153)
107 ILLUMINA ss3745468153 Jul 13, 2019 (153)
108 EVA ss3767881183 Jul 13, 2019 (153)
109 PAGE_CC ss3771437333 Jul 13, 2019 (153)
110 ILLUMINA ss3772960666 Jul 13, 2019 (153)
111 ILLUMINA ss3772960667 Jul 13, 2019 (153)
112 KHV_HUMAN_GENOMES ss3811042495 Jul 13, 2019 (153)
113 1000Genomes NC_000008.10 - 37823798 Oct 12, 2018 (152)
114 The Avon Longitudinal Study of Parents and Children NC_000008.10 - 37823798 Oct 12, 2018 (152)
115 Genetic variation in the Estonian population NC_000008.10 - 37823798 Oct 12, 2018 (152)
116 ExAC NC_000008.10 - 37823798 Oct 12, 2018 (152)
117 gnomAD - Genomes NC_000008.10 - 37823798 Jul 13, 2019 (153)
118 gnomAD - Exomes NC_000008.10 - 37823798 Jul 13, 2019 (153)
119 Northern Sweden NC_000008.10 - 37823798 Jul 13, 2019 (153)
120 The PAGE Study NC_000008.11 - 37966280 Jul 13, 2019 (153)
121 TopMed NC_000008.11 - 37966280 Oct 12, 2018 (152)
122 UK 10K study - Twins NC_000008.10 - 37823798 Oct 12, 2018 (152)
123 A Vietnamese Genetic Variation Database NC_000008.10 - 37823798 Jul 13, 2019 (153)
124 ClinVar RCV000033197.2 Oct 12, 2018 (152)

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)
rs17025 Jan 18, 2001 (92)
rs117258787 Aug 16, 2010 (132)
Added to this RefSNP Cluster:
Submission IDs Observation SPDI Canonical SPDI Source RSIDs
ss107963793, ss115287999, ss160736085, ss164451162, ss199049324, ss244302575, ss279773136, ss481126790, ss491276912, ss491924027, ss1595008688, ss1713030911, ss3643686799 NC_000008.9:37942954:A:G NC_000008.11:37966279:A:G (self)
41561645, 23112483, 16445266, 9264188, 113525355, 6278531, 8866424, 23112483, 5149476, ss223657511, ss234403270, ss241267103, ss342257129, ss481148935, ss482137935, ss485358464, ss490963705, ss491412621, ss536360005, ss560689489, ss655123352, ss778555775, ss780869296, ss783124941, ss783554313, ss784081586, ss832383766, ss834012568, ss985411734, ss1067497130, ss1075445055, ss1329449329, ss1582647113, ss1584058101, ss1620422247, ss1663416280, ss1689166523, ss1711198682, ss1752730772, ss1752730773, ss1805493185, ss1917827829, ss1928701068, ss1946234956, ss1959104415, ss2025053274, ss2153274145, ss2472073716, ss2627009187, ss2634737497, ss2709039533, ss2737107742, ss2748034079, ss2865598134, ss2985436753, ss2986080645, ss3003013374, ss3022838311, ss3348139158, ss3630042832, ss3630042833, ss3632637071, ss3633498242, ss3634224898, ss3635168340, ss3635168341, ss3635903749, ss3636905702, ss3637656912, ss3638755586, ss3640875630, ss3640875631, ss3644968161, ss3646374530, ss3653379847, ss3654198912, ss3670707018, ss3735581559, ss3744579348, ss3745468152, ss3745468153, ss3767881183, ss3772960666, ss3772960667 NC_000008.10:37823797:A:G NC_000008.11:37966279:A:G (self)
RCV000033197.2, 658802, 387491954, ss244238687, ss263197785, ss2302410712, ss3026316191, ss3559337515, ss3721822192, ss3726531334, ss3771437333, ss3811042495 NC_000008.11:37966279:A:G NC_000008.11:37966279:A:G (self)
ss6434, ss19434, ss2985134, ss8819655, ss24795952, ss24811637, ss46533212, ss69355950, ss69366475, ss69370727, ss74911466, ss86241429, ss119337502, ss159716822, ss173904450 NT_167187.1:25681943:A:G NC_000008.11:37966279:A:G (self)

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

69 citations for rs4994
PMID Title Author Year Journal
7609750 Time of onset of non-insulin-dependent diabetes mellitus and genetic variation in the beta 3-adrenergic-receptor gene. Walston J et al. 1995 The New England journal of medicine
7609752 Genetic variation in the beta 3-adrenergic receptor and an increased capacity to gain weight in patients with morbid obesity. Clément K et al. 1995 The New England journal of medicine
8903328 The Trp64Arg mutation of the beta3 adrenergic receptor gene has no effect on obesity phenotypes in the Québec Family Study and Swedish Obese Subjects cohorts. Gagnon J et al. 1996 The Journal of clinical investigation
8954053 Role of the beta 3-adrenergic receptor locus in obesity and noninsulin-dependent diabetes among members of Caucasian families with a diabetic sibling pair. Elbein SC et al. 1996 The Journal of clinical endocrinology and metabolism
9054940 A major quantitative trait locus determining serum leptin levels and fat mass is located on human chromosome 2. Comuzzie AG et al. 1997 Nature genetics
9100608 Lack of association between the Trp64 Arg mutation in the beta 3-adrenergic receptor gene and obesity in Japanese men: a longitudinal analysis. Nagase T et al. 1997 The Journal of clinical endocrinology and metabolism
9112025 A mutation of the beta 3-adrenergic receptor is associated with visceral obesity but decreased serum triglyceride. Kim-Motoyama H et al. 1997 Diabetologia
9449691 A paired sibling analysis of the beta-3 adrenergic receptor and obesity in Mexican Americans. Mitchell BD et al. 1998 The Journal of clinical investigation
9709965 The Trp64Arg polymorphism of the beta 3-adrenergic receptor gene is not associated with obesity or type 2 diabetes mellitus in a large population-based Caucasian cohort. Büettner R et al. 1998 The Journal of clinical endocrinology and metabolism
9814483 Trp64Arg variant of the beta3-adrenoceptor and insulin resistance in obese postmenopausal women. García-Rubi E et al. 1998 The Journal of clinical endocrinology and metabolism
9892244 Polymorphism of the human beta3-adrenoceptor gene forms a well-conserved haplotype that is associated with moderate obesity and altered receptor function. Hoffstedt J et al. 1999 Diabetes
10323390 The association between Trp64Arg polymorphism of the beta3-adrenergic receptor and autonomic nervous system activity. Shihara N et al. 1999 The Journal of clinical endocrinology and metabolism
10323402 Trp64Arg polymorphism of the beta3-adrenergic receptor gene in pregnancy: association with mild gestational diabetes mellitus. Festa A et al. 1999 The Journal of clinical endocrinology and metabolism
10999801 Studies of the synergistic effect of the Trp/Arg64 polymorphism of the beta3-adrenergic receptor gene and the -3826 A-->G variant of the uncoupling protein-1 gene on features of obesity and insulin resistance in a population-based sample of 379 young Danish subjects. Urhammer SA et al. 2000 The Journal of clinical endocrinology and metabolism
11095426 Insulin response to glucose is lower in individuals homozygous for the Arg 64 variant of the beta-3-adrenergic receptor. Walston J et al. 2000 The Journal of clinical endocrinology and metabolism
15472194 Effects of the Trp64Arg polymorphism in the beta3-adrenergic receptor gene on insulin sensitivity in small for gestational age neonates. Wang X et al. 2004 The Journal of clinical endocrinology and metabolism
17512307 Association analyses of adrenergic receptor polymorphisms with obesity and metabolic alterations. Lima JJ et al. 2007 Metabolism
17825092 Genetic association of glutathione peroxidase-1 with coronary artery calcification in type 2 diabetes: a case control study with multi-slice computed tomography. Nemoto M et al. 2007 Cardiovascular diabetology
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
18426866 Association of FTO with obesity-related traits in the Cebu Longitudinal Health and Nutrition Survey (CLHNS) Cohort. Marvelle AF et al. 2008 Diabetes
18513389 New application of intelligent agents in sporadic amyotrophic lateral sclerosis identifies unexpected specific genetic background. Penco S et al. 2008 BMC bioinformatics
18603647 Functional genetic polymorphisms and female reproductive disorders: Part I: Polycystic ovary syndrome and ovarian response. Simoni M et al. 2008 Human reproduction update
18611262 Genetic variation in candidate obesity genes ADRB2, ADRB3, GHRL, HSD11B1, IRS1, IRS2, and SHC1 and risk for breast cancer in the Cancer Prevention Study II. Feigelson HS et al. 2008 Breast cancer research
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
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
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
19553224 Trp64Arg polymorphism in ADRB3 gene is associated with elite endurance performance. Santiago C et al. 2011 British journal of sports medicine
19565482 Association of adrenergic receptor gene polymorphisms with different fibromyalgia syndrome domains. Vargas-Alarcón G et al. 2009 Arthritis and rheumatism
19587357 A systematic meta-analysis of genetic association studies for diabetic retinopathy. Abhary S et al. 2009 Diabetes
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
19876010 A preliminary candidate genotype-intermediate phenotype study of satiation and gastric motor function in obesity. Papathanasopoulos A et al. 2010 Obesity (Silver Spring, Md.)
20028936 Are elite endurance athletes genetically predisposed to lower disease risk? Gómez-Gallego F et al. 2010 Physiological genomics
20078877 Gene polymorphisms in association with emerging cardiovascular risk markers in adult women. Fan AZ et al. 2010 BMC medical genetics
20503258 Candidate gene association study conditioning on individual ancestry in patients with type 2 diabetes and metabolic syndrome from Mexico City. Cruz M et al. 2010 Diabetes/metabolism research and reviews
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
21285172 Positive correlation between Beta-3-Adrenergic Receptor (ADRB3) gene and gout in a Chinese male population. Wang B et al. 2011 The Journal of rheumatology
21467728 Profile of participants and genotype distributions of 108 polymorphisms in a cross-sectional study of associations of genotypes with lifestyle and clinical factors: a project in the Japan Multi-Institutional Collaborative Cohort (J-MICC) Study. Wakai K et al. 2011 Journal of epidemiology
21894447 Are centenarians genetically predisposed to lower disease risk? Ruiz JR et al. 2012 Age (Dordrecht, Netherlands)
22355322 Gene-gene and gene-environmental interactions of childhood asthma: a multifactor dimension reduction approach. Su MW et al. 2012 PloS one
22391941 Meta-analysis of association studies between five candidate genes and type 2 diabetes in Chinese Han population. Jing C et al. 2012 Endocrine
22775001 Polymorphisms in Fas gene is associated with HIV-related lipoatrophy in Thai patients. Likanonsakul S et al. 2013 AIDS research and human retroviruses
22858200 Angiotensinogen gene polymorphisms and food-intake behavior in young, normal female subjects in Japan. Sasaki M et al. 2013 Nutrition (Burbank, Los Angeles County, Calif.)
22938532 Sequencing and analysis of a South Asian-Indian personal genome. Gupta R et al. 2012 BMC genomics
24138564 The presence of at least three alleles of the ADRB3 Trp64Arg (C/T) and UCP1 -3826A/G polymorphisms is associated with protection to overweight/obesity and with higher high-density lipoprotein cholesterol levels in Caucasian-Brazilian patients with type 2 diabetes. Brondani LA et al. 2014 Metabolic syndrome and related disorders
24201118 Significant role of ADRB3 rs4994 towards the development of coronary artery disease. Kumar S et al. 2014 Coronary artery disease
24460850 The interaction between beta-3 adrenergic receptor polymorphism and obesity to periodontal disease in community-dwelling elderly Japanese. Yoshihara A et al. 2014 Journal of clinical periodontology
24944790 Screening for 392 polymorphisms in 141 pharmacogenes. Kim JY et al. 2014 Biomedical reports
25111588 Systematic review and metaanalysis of genetic association studies of urinary symptoms and prolapse in women. Cartwright R et al. 2015 American journal of obstetrics and gynecology
25112403 Lysyl oxidase rs1800449 polymorphism and cancer risk among Asians: evidence from a meta-analysis and a case-control study of colorectal cancer. Gao X et al. 2015 Molecular genetics and genomics
25368670 CardioGxE, a catalog of gene-environment interactions for cardiometabolic traits. Parnell LD et al. 2014 BioData mining
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Genomic regions, transcripts, and products
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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.post246+3cda961