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.
rs324420
Current Build 156
Released September 21, 2022
- Organism
- Homo sapiens
- Position
-
chr1:46405089 (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
- C>A
- Variation Type
- SNV Single Nucleotide Variation
- Frequency
-
A=0.205304 (76929/374708, ALFA)A=0.267048 (70685/264690, TOPMED)A=0.236094 (59345/251362, GnomAD_exome) (+ 24 more)
- Clinical Significance
- Reported in ClinVar
- Gene : Consequence
- FAAH : Missense Variant
- Publications
- 101 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 | 391182 | C=0.792756 | A=0.207244 | 0.630867 | 0.045355 | 0.323778 | 23 |
| European | Sub | 332456 | C=0.800163 | A=0.199837 | 0.640945 | 0.040619 | 0.318436 | 2 |
| African | Sub | 13920 | C=0.65136 | A=0.34864 | 0.42658 | 0.123851 | 0.449569 | 0 |
| African Others | Sub | 508 | C=0.585 | A=0.415 | 0.350394 | 0.181102 | 0.468504 | 0 |
| African American | Sub | 13412 | C=0.65389 | A=0.34611 | 0.429466 | 0.121682 | 0.448852 | 0 |
| Asian | Sub | 6958 | C=0.8579 | A=0.1421 | 0.736706 | 0.020983 | 0.242311 | 0 |
| East Asian | Sub | 4990 | C=0.8575 | A=0.1425 | 0.736273 | 0.021242 | 0.242485 | 0 |
| Other Asian | Sub | 1968 | C=0.8587 | A=0.1413 | 0.737805 | 0.020325 | 0.24187 | 0 |
| Latin American 1 | Sub | 1488 | C=0.7117 | A=0.2883 | 0.518817 | 0.09543 | 0.385753 | 2 |
| Latin American 2 | Sub | 7212 | C=0.6531 | A=0.3469 | 0.431503 | 0.125347 | 0.44315 | 1 |
| South Asian | Sub | 5224 | C=0.7975 | A=0.2025 | 0.635145 | 0.040199 | 0.324655 | 0 |
| Other | Sub | 23924 | C=0.79928 | A=0.20072 | 0.645043 | 0.046481 | 0.308477 | 10 |
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 | 374708 | C=0.794696 | A=0.205304 |
| Allele Frequency Aggregator | European | Sub | 322268 | C=0.800315 | A=0.199685 |
| Allele Frequency Aggregator | Other | Sub | 22476 | C=0.80090 | A=0.19910 |
| Allele Frequency Aggregator | African | Sub | 9082 | C=0.6560 | A=0.3440 |
| Allele Frequency Aggregator | Latin American 2 | Sub | 7212 | C=0.6531 | A=0.3469 |
| Allele Frequency Aggregator | Asian | Sub | 6958 | C=0.8579 | A=0.1421 |
| Allele Frequency Aggregator | South Asian | Sub | 5224 | C=0.7975 | A=0.2025 |
| Allele Frequency Aggregator | Latin American 1 | Sub | 1488 | C=0.7117 | A=0.2883 |
| TopMed | Global | Study-wide | 264690 | C=0.732952 | A=0.267048 |
| gnomAD - Exomes | Global | Study-wide | 251362 | C=0.763906 | A=0.236094 |
| gnomAD - Exomes | European | Sub | 135318 | C=0.782017 | A=0.217983 |
| gnomAD - Exomes | Asian | Sub | 49002 | C=0.81180 | A=0.18820 |
| gnomAD - Exomes | American | Sub | 34582 | C=0.65499 | A=0.34501 |
| gnomAD - Exomes | African | Sub | 16248 | C=0.64193 | A=0.35807 |
| gnomAD - Exomes | Ashkenazi Jewish | Sub | 10076 | C=0.85202 | A=0.14798 |
| gnomAD - Exomes | Other | Sub | 6136 | C=0.7741 | A=0.2259 |
| gnomAD - Genomes | Global | Study-wide | 140064 | C=0.734457 | A=0.265543 |
| gnomAD - Genomes | European | Sub | 75872 | C=0.78371 | A=0.21629 |
| gnomAD - Genomes | African | Sub | 41950 | C=0.64038 | A=0.35962 |
| gnomAD - Genomes | American | Sub | 13648 | C=0.69893 | A=0.30107 |
| gnomAD - Genomes | Ashkenazi Jewish | Sub | 3322 | C=0.8516 | A=0.1484 |
| gnomAD - Genomes | East Asian | Sub | 3118 | C=0.8210 | A=0.1790 |
| gnomAD - Genomes | Other | Sub | 2154 | C=0.7507 | A=0.2493 |
| ExAC | Global | Study-wide | 121168 | C=0.766688 | A=0.233312 |
| ExAC | Europe | Sub | 73180 | C=0.78773 | A=0.21227 |
| ExAC | Asian | Sub | 25134 | C=0.81197 | A=0.18803 |
| ExAC | American | Sub | 11564 | C=0.64268 | A=0.35732 |
| ExAC | African | Sub | 10388 | C=0.64565 | A=0.35435 |
| ExAC | Other | Sub | 902 | C=0.782 | A=0.218 |
| The PAGE Study | Global | Study-wide | 78658 | C=0.69244 | A=0.30756 |
| The PAGE Study | AfricanAmerican | Sub | 32492 | C=0.64721 | A=0.35279 |
| The PAGE Study | Mexican | Sub | 10802 | C=0.65608 | A=0.34392 |
| The PAGE Study | Asian | Sub | 8316 | C=0.8298 | A=0.1702 |
| The PAGE Study | PuertoRican | Sub | 7914 | C=0.6763 | A=0.3237 |
| The PAGE Study | NativeHawaiian | Sub | 4534 | C=0.8198 | A=0.1802 |
| The PAGE Study | Cuban | Sub | 4230 | C=0.7695 | A=0.2305 |
| The PAGE Study | Dominican | Sub | 3826 | C=0.6989 | A=0.3011 |
| The PAGE Study | CentralAmerican | Sub | 2448 | C=0.6638 | A=0.3362 |
| The PAGE Study | SouthAmerican | Sub | 1980 | C=0.6379 | A=0.3621 |
| The PAGE Study | NativeAmerican | Sub | 1260 | C=0.6786 | A=0.3214 |
| The PAGE Study | SouthAsian | Sub | 856 | C=0.827 | A=0.173 |
| 14KJPN | JAPANESE | Study-wide | 28258 | C=0.83647 | A=0.16353 |
| 8.3KJPN | JAPANESE | Study-wide | 16760 | C=0.83693 | A=0.16307 |
| 1000Genomes_30x | Global | Study-wide | 6404 | C=0.7353 | A=0.2647 |
| 1000Genomes_30x | African | Sub | 1786 | C=0.6293 | A=0.3707 |
| 1000Genomes_30x | Europe | Sub | 1266 | C=0.7954 | A=0.2046 |
| 1000Genomes_30x | South Asian | Sub | 1202 | C=0.8120 | A=0.1880 |
| 1000Genomes_30x | East Asian | Sub | 1170 | C=0.8214 | A=0.1786 |
| 1000Genomes_30x | American | Sub | 980 | C=0.654 | A=0.346 |
| 1000Genomes | Global | Study-wide | 5008 | C=0.7384 | A=0.2616 |
| 1000Genomes | African | Sub | 1322 | C=0.6324 | A=0.3676 |
| 1000Genomes | East Asian | Sub | 1008 | C=0.8244 | A=0.1756 |
| 1000Genomes | Europe | Sub | 1006 | C=0.7893 | A=0.2107 |
| 1000Genomes | South Asian | Sub | 978 | C=0.805 | A=0.195 |
| 1000Genomes | American | Sub | 694 | C=0.648 | A=0.352 |
| Genetic variation in the Estonian population | Estonian | Study-wide | 4480 | C=0.7016 | A=0.2984 |
| The Avon Longitudinal Study of Parents and Children | PARENT AND CHILD COHORT | Study-wide | 3854 | C=0.8103 | A=0.1897 |
| UK 10K study - Twins | TWIN COHORT | Study-wide | 3708 | C=0.7937 | A=0.2063 |
| KOREAN population from KRGDB | KOREAN | Study-wide | 2930 | C=0.8601 | A=0.1399 |
| HGDP-CEPH-db Supplement 1 | Global | Study-wide | 2084 | C=0.7788 | A=0.2212 |
| HGDP-CEPH-db Supplement 1 | Est_Asia | Sub | 470 | C=0.838 | A=0.162 |
| HGDP-CEPH-db Supplement 1 | Central_South_Asia | Sub | 414 | C=0.778 | A=0.222 |
| HGDP-CEPH-db Supplement 1 | Middle_Est | Sub | 350 | C=0.843 | A=0.157 |
| HGDP-CEPH-db Supplement 1 | Europe | Sub | 320 | C=0.828 | A=0.172 |
| HGDP-CEPH-db Supplement 1 | Africa | Sub | 242 | C=0.789 | A=0.211 |
| HGDP-CEPH-db Supplement 1 | America | Sub | 216 | C=0.449 | A=0.551 |
| HGDP-CEPH-db Supplement 1 | Oceania | Sub | 72 | C=0.82 | A=0.18 |
| HapMap | Global | Study-wide | 1890 | C=0.7587 | A=0.2413 |
| HapMap | American | Sub | 770 | C=0.796 | A=0.204 |
| HapMap | African | Sub | 690 | C=0.670 | A=0.330 |
| HapMap | Asian | Sub | 254 | C=0.823 | A=0.177 |
| HapMap | Europe | Sub | 176 | C=0.852 | A=0.148 |
| Korean Genome Project | KOREAN | Study-wide | 1832 | C=0.8706 | A=0.1294 |
| Genome of the Netherlands Release 5 | Genome of the Netherlands | Study-wide | 998 | C=0.794 | A=0.206 |
| A Vietnamese Genetic Variation Database | Global | Study-wide | 614 | C=0.801 | A=0.199 |
| Northern Sweden | ACPOP | Study-wide | 600 | C=0.737 | A=0.263 |
| Medical Genome Project healthy controls from Spanish population | Spanish controls | Study-wide | 534 | C=0.822 | A=0.178 |
| FINRISK | Finnish from FINRISK project | Study-wide | 304 | C=0.711 | A=0.289 |
| SGDP_PRJ | Global | Study-wide | 244 | C=0.414 | A=0.586 |
| Qatari | Global | Study-wide | 216 | C=0.782 | A=0.218 |
| Ancient Sardinia genome-wide 1240k capture data generation and analysis | Global | Study-wide | 62 | C=0.87 | A=0.13 |
| The Danish reference pan genome | Danish | Study-wide | 40 | C=0.80 | A=0.20 |
| Siberian | Global | Study-wide | 22 | C=0.41 | A=0.59 |
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 1 | NC_000001.11:g.46405089C>A |
| GRCh37.p13 chr 1 | NC_000001.10:g.46870761C>A |
| FAAH RefSeqGene | NG_012195.1:g.15823C>A |
Gene: FAAH, fatty acid amide hydrolase
(plus strand)
| Molecule type | Change | Amino acid[Codon] | SO Term |
|---|---|---|---|
| FAAH transcript | NM_001441.3:c.385C>A | P [CCA] > T [ACA] | Coding Sequence Variant |
| fatty-acid amide hydrolase 1 | NP_001432.2:p.Pro129Thr | P (Pro) > T (Thr) | 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: A (allele ID:
21763
)
| ClinVar Accession | Disease Names | Clinical Significance |
|---|---|---|
| RCV000007116.4 | FAAH POLYMORPHISM | 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 | C= | A |
|---|---|---|
| GRCh38.p14 chr 1 | NC_000001.11:g.46405089= | NC_000001.11:g.46405089C>A |
| GRCh37.p13 chr 1 | NC_000001.10:g.46870761= | NC_000001.10:g.46870761C>A |
| FAAH RefSeqGene | NG_012195.1:g.15823= | NG_012195.1:g.15823C>A |
| FAAH transcript | NM_001441.3:c.385= | NM_001441.3:c.385C>A |
| FAAH transcript | NM_001441.2:c.385= | NM_001441.2:c.385C>A |
| fatty-acid amide hydrolase 1 | NP_001432.2:p.Pro129= | NP_001432.2:p.Pro129Thr |
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#.
192 SubSNP,
27 Frequency,
1 ClinVar
submissions
| No | Submitter | Submission ID | Date (Build) |
|---|---|---|---|
| 1 | KWOK | ss414956 | Jul 12, 2000 (79) |
| 2 | SC_JCM | ss587534 | Jul 16, 2000 (80) |
| 3 | KWOK | ss1925495 | Oct 18, 2000 (87) |
| 4 | KWOK | ss1925873 | Oct 18, 2000 (87) |
| 5 | SC_JCM | ss2600464 | Nov 08, 2000 (89) |
| 6 | SC_SNP | ss13019202 | Dec 05, 2003 (119) |
| 7 | CGAP-GAI | ss16262214 | Feb 27, 2004 (120) |
| 8 | CSHL-HAPMAP | ss16395434 | Feb 27, 2004 (120) |
| 9 | SSAHASNP | ss20535610 | Apr 05, 2004 (121) |
| 10 | ABI | ss44084610 | Mar 14, 2006 (126) |
| 11 | ILLUMINA | ss65727425 | Oct 16, 2006 (127) |
| 12 | ILLUMINA | ss66584665 | Dec 02, 2006 (127) |
| 13 | EGP_SNPS | ss66860923 | Dec 02, 2006 (127) |
| 14 | ILLUMINA | ss67293310 | Dec 02, 2006 (127) |
| 15 | ILLUMINA | ss67697191 | Dec 02, 2006 (127) |
| 16 | PERLEGEN | ss68765097 | May 18, 2007 (127) |
| 17 | EGP_SNPS | ss70455703 | May 18, 2007 (127) |
| 18 | ILLUMINA | ss70771906 | May 24, 2008 (130) |
| 19 | ILLUMINA | ss71347329 | May 18, 2007 (127) |
| 20 | ILLUMINA | ss74962542 | Dec 06, 2007 (129) |
| 21 | HGSV | ss79030855 | Dec 06, 2007 (129) |
| 22 | ILLUMINA | ss79160397 | Dec 14, 2007 (130) |
| 23 | KRIBB_YJKIM | ss83427387 | Dec 14, 2007 (130) |
| 24 | CORNELL | ss86240994 | Mar 23, 2008 (129) |
| 25 | HUMANGENOME_JCVI | ss99205092 | Feb 04, 2009 (130) |
| 26 | 1000GENOMES | ss108170325 | Jan 23, 2009 (130) |
| 27 | 1000GENOMES | ss110384633 | Jan 24, 2009 (130) |
| 28 | ILLUMINA-UK | ss118662550 | Feb 14, 2009 (130) |
| 29 | ILLUMINA | ss122182448 | Dec 01, 2009 (131) |
| 30 | ENSEMBL | ss138955092 | Dec 01, 2009 (131) |
| 31 | ILLUMINA | ss154257386 | Dec 01, 2009 (131) |
| 32 | ILLUMINA | ss159433884 | Dec 01, 2009 (131) |
| 33 | SEATTLESEQ | ss159697386 | Dec 01, 2009 (131) |
| 34 | ILLUMINA | ss160617187 | Dec 01, 2009 (131) |
| 35 | COMPLETE_GENOMICS | ss163344459 | Jul 04, 2010 (132) |
| 36 | COMPLETE_GENOMICS | ss166460748 | Jul 04, 2010 (132) |
| 37 | OMICIA | ss169614834 | Aug 28, 2012 (137) |
| 38 | ILLUMINA | ss171565310 | Jul 04, 2010 (132) |
| 39 | ILLUMINA | ss173578227 | Jul 04, 2010 (132) |
| 40 | BUSHMAN | ss198394442 | Jul 04, 2010 (132) |
| 41 | BCM-HGSC-SUB | ss205493694 | Jul 04, 2010 (132) |
| 42 | 1000GENOMES | ss218357905 | Jul 14, 2010 (132) |
| 43 | 1000GENOMES | ss230515606 | Jul 14, 2010 (132) |
| 44 | 1000GENOMES | ss238213716 | Jul 15, 2010 (132) |
| 45 | ILLUMINA | ss244294464 | Jul 04, 2010 (132) |
| 46 | OMIM-CURATED-RECORDS | ss256302018 | Aug 26, 2010 (132) |
| 47 | GMI | ss275807551 | May 04, 2012 (137) |
| 48 | GMI | ss284042340 | Apr 25, 2013 (138) |
| 49 | PJP | ss290502567 | May 09, 2011 (134) |
| 50 | NHLBI-ESP | ss341962127 | May 09, 2011 (134) |
| 51 | ILLUMINA | ss480771103 | May 04, 2012 (137) |
| 52 | ILLUMINA | ss480786925 | May 04, 2012 (137) |
| 53 | ILLUMINA | ss481683308 | Sep 08, 2015 (146) |
| 54 | ILLUMINA | ss485180275 | May 04, 2012 (137) |
| 55 | 1000GENOMES | ss489741590 | May 04, 2012 (137) |
| 56 | GSK-GENETICS | ss491233572 | May 04, 2012 (137) |
| 57 | EXOME_CHIP | ss491293280 | May 04, 2012 (137) |
| 58 | CLINSEQ_SNP | ss491594126 | May 04, 2012 (137) |
| 59 | ILLUMINA | ss537169500 | Sep 08, 2015 (146) |
| 60 | TISHKOFF | ss554061138 | Apr 25, 2013 (138) |
| 61 | SSMP | ss647858782 | Apr 25, 2013 (138) |
| 62 | ILLUMINA | ss778890149 | Sep 08, 2015 (146) |
| 63 | ILLUMINA | ss780852131 | Sep 08, 2015 (146) |
| 64 | ILLUMINA | ss783036308 | Sep 08, 2015 (146) |
| 65 | ILLUMINA | ss783536041 | Sep 08, 2015 (146) |
| 66 | ILLUMINA | ss783995808 | Sep 08, 2015 (146) |
| 67 | ILLUMINA | ss825490915 | Apr 01, 2015 (144) |
| 68 | ILLUMINA | ss832293984 | Sep 08, 2015 (146) |
| 69 | ILLUMINA | ss832945482 | Jul 12, 2019 (153) |
| 70 | ILLUMINA | ss834351248 | Sep 08, 2015 (146) |
| 71 | JMKIDD_LAB | ss974435084 | Aug 21, 2014 (142) |
| 72 | EVA-GONL | ss975104247 | Aug 21, 2014 (142) |
| 73 | JMKIDD_LAB | ss1067420944 | Aug 21, 2014 (142) |
| 74 | JMKIDD_LAB | ss1067845325 | Aug 21, 2014 (142) |
| 75 | 1000GENOMES | ss1290665023 | Aug 21, 2014 (142) |
| 76 | DDI | ss1425792404 | Apr 01, 2015 (144) |
| 77 | EVA_GENOME_DK | ss1574028037 | Apr 01, 2015 (144) |
| 78 | EVA_FINRISK | ss1584007791 | Apr 01, 2015 (144) |
| 79 | EVA_DECODE | ss1584468348 | Apr 01, 2015 (144) |
| 80 | EVA_UK10K_ALSPAC | ss1600056269 | Apr 01, 2015 (144) |
| 81 | EVA_UK10K_TWINSUK | ss1643050302 | Apr 01, 2015 (144) |
| 82 | EVA_EXAC | ss1685532068 | Apr 01, 2015 (144) |
| 83 | EVA_MGP | ss1710903844 | Apr 01, 2015 (144) |
| 84 | EVA_SVP | ss1712328937 | Apr 01, 2015 (144) |
| 85 | ILLUMINA | ss1751922054 | Sep 08, 2015 (146) |
| 86 | ILLUMINA | ss1751922055 | Sep 08, 2015 (146) |
| 87 | HAMMER_LAB | ss1794280150 | Sep 08, 2015 (146) |
| 88 | ILLUMINA | ss1917728250 | Feb 12, 2016 (147) |
| 89 | WEILL_CORNELL_DGM | ss1918312470 | Feb 12, 2016 (147) |
| 90 | ILLUMINA | ss1945993861 | Feb 12, 2016 (147) |
| 91 | ILLUMINA | ss1945993862 | Feb 12, 2016 (147) |
| 92 | ILLUMINA | ss1958268695 | Feb 12, 2016 (147) |
| 93 | ILLUMINA | ss1958268697 | Feb 12, 2016 (147) |
| 94 | GENOMED | ss1966735247 | Jul 19, 2016 (147) |
| 95 | JJLAB | ss2019671756 | Sep 14, 2016 (149) |
| 96 | USC_VALOUEV | ss2147684182 | Dec 20, 2016 (150) |
| 97 | HUMAN_LONGEVITY | ss2162033239 | Dec 20, 2016 (150) |
| 98 | ILLUMINA | ss2632508923 | Nov 08, 2017 (151) |
| 99 | GRF | ss2697594781 | Nov 08, 2017 (151) |
| 100 | ILLUMINA | ss2710671047 | Nov 08, 2017 (151) |
| 101 | GNOMAD | ss2731473167 | Nov 08, 2017 (151) |
| 102 | GNOMAD | ss2746324053 | Nov 08, 2017 (151) |
| 103 | GNOMAD | ss2754495776 | Nov 08, 2017 (151) |
| 104 | AFFY | ss2984858125 | Nov 08, 2017 (151) |
| 105 | AFFY | ss2985507320 | Nov 08, 2017 (151) |
| 106 | SWEGEN | ss2986725176 | Nov 08, 2017 (151) |
| 107 | ILLUMINA | ss3021083175 | Nov 08, 2017 (151) |
| 108 | ILLUMINA | ss3021083176 | Nov 08, 2017 (151) |
| 109 | BIOINF_KMB_FNS_UNIBA | ss3023598477 | Nov 08, 2017 (151) |
| 110 | CSHL | ss3343431597 | Nov 08, 2017 (151) |
| 111 | ILLUMINA | ss3625534692 | Oct 11, 2018 (152) |
| 112 | ILLUMINA | ss3626085450 | Oct 11, 2018 (152) |
| 113 | ILLUMINA | ss3626085451 | Oct 11, 2018 (152) |
| 114 | ILLUMINA | ss3630545479 | Oct 11, 2018 (152) |
| 115 | ILLUMINA | ss3632889562 | Oct 11, 2018 (152) |
| 116 | ILLUMINA | ss3633584047 | Oct 11, 2018 (152) |
| 117 | ILLUMINA | ss3634321794 | Oct 11, 2018 (152) |
| 118 | ILLUMINA | ss3634321795 | Oct 11, 2018 (152) |
| 119 | ILLUMINA | ss3635277963 | Oct 11, 2018 (152) |
| 120 | ILLUMINA | ss3635997093 | Oct 11, 2018 (152) |
| 121 | ILLUMINA | ss3637028372 | Oct 11, 2018 (152) |
| 122 | ILLUMINA | ss3637753257 | Oct 11, 2018 (152) |
| 123 | ILLUMINA | ss3638895996 | Oct 11, 2018 (152) |
| 124 | ILLUMINA | ss3639445382 | Oct 11, 2018 (152) |
| 125 | ILLUMINA | ss3640029155 | Oct 11, 2018 (152) |
| 126 | ILLUMINA | ss3640029156 | Oct 11, 2018 (152) |
| 127 | ILLUMINA | ss3640979667 | Oct 11, 2018 (152) |
| 128 | ILLUMINA | ss3641273590 | Oct 11, 2018 (152) |
| 129 | ILLUMINA | ss3642765718 | Oct 11, 2018 (152) |
| 130 | ILLUMINA | ss3644489767 | Oct 11, 2018 (152) |
| 131 | ILLUMINA | ss3644489768 | Oct 11, 2018 (152) |
| 132 | OMUKHERJEE_ADBS | ss3646230107 | Oct 11, 2018 (152) |
| 133 | URBANLAB | ss3646652979 | Oct 11, 2018 (152) |
| 134 | ILLUMINA | ss3651409317 | Oct 11, 2018 (152) |
| 135 | ILLUMINA | ss3651409318 | Oct 11, 2018 (152) |
| 136 | ILLUMINA | ss3653630482 | Oct 11, 2018 (152) |
| 137 | EGCUT_WGS | ss3654790006 | Jul 12, 2019 (153) |
| 138 | EVA_DECODE | ss3686662781 | Jul 12, 2019 (153) |
| 139 | ILLUMINA | ss3725020566 | Jul 12, 2019 (153) |
| 140 | ACPOP | ss3727000202 | Jul 12, 2019 (153) |
| 141 | ILLUMINA | ss3744045517 | Jul 12, 2019 (153) |
| 142 | ILLUMINA | ss3744345114 | Jul 12, 2019 (153) |
| 143 | ILLUMINA | ss3744622726 | Jul 12, 2019 (153) |
| 144 | ILLUMINA | ss3744622727 | Jul 12, 2019 (153) |
| 145 | EVA | ss3746133810 | Jul 12, 2019 (153) |
| 146 | PAGE_CC | ss3770805551 | Jul 12, 2019 (153) |
| 147 | ILLUMINA | ss3772124175 | Jul 12, 2019 (153) |
| 148 | ILLUMINA | ss3772124176 | Jul 12, 2019 (153) |
| 149 | PACBIO | ss3783395404 | Jul 12, 2019 (153) |
| 150 | PACBIO | ss3789056467 | Jul 12, 2019 (153) |
| 151 | PACBIO | ss3793929122 | Jul 12, 2019 (153) |
| 152 | KHV_HUMAN_GENOMES | ss3799145664 | Jul 12, 2019 (153) |
| 153 | EVA | ss3823608018 | Apr 25, 2020 (154) |
| 154 | EVA | ss3825563934 | Apr 25, 2020 (154) |
| 155 | EVA | ss3826146451 | Apr 25, 2020 (154) |
| 156 | EVA | ss3836460717 | Apr 25, 2020 (154) |
| 157 | EVA | ss3841866479 | Apr 25, 2020 (154) |
| 158 | HGDP | ss3847331625 | Apr 25, 2020 (154) |
| 159 | SGDP_PRJ | ss3848732465 | Apr 25, 2020 (154) |
| 160 | KRGDB | ss3893719868 | Apr 25, 2020 (154) |
| 161 | KOGIC | ss3944392863 | Apr 25, 2020 (154) |
| 162 | FSA-LAB | ss3983930318 | Apr 25, 2021 (155) |
| 163 | EVA | ss3984792924 | Apr 25, 2021 (155) |
| 164 | EVA | ss3986118302 | Apr 25, 2021 (155) |
| 165 | EVA | ss4016907186 | Apr 25, 2021 (155) |
| 166 | TOPMED | ss4447683846 | Apr 25, 2021 (155) |
| 167 | TOMMO_GENOMICS | ss5143686134 | Apr 25, 2021 (155) |
| 168 | EVA | ss5236868935 | Apr 25, 2021 (155) |
| 169 | EVA | ss5237264587 | Apr 25, 2021 (155) |
| 170 | EVA | ss5237631905 | Oct 17, 2022 (156) |
| 171 | 1000G_HIGH_COVERAGE | ss5242072928 | Oct 17, 2022 (156) |
| 172 | TRAN_CS_UWATERLOO | ss5314395763 | Oct 17, 2022 (156) |
| 173 | EVA | ss5314611623 | Oct 17, 2022 (156) |
| 174 | EVA | ss5318361316 | Oct 17, 2022 (156) |
| 175 | HUGCELL_USP | ss5443157940 | Oct 17, 2022 (156) |
| 176 | EVA | ss5505832393 | Oct 17, 2022 (156) |
| 177 | 1000G_HIGH_COVERAGE | ss5514246520 | Oct 17, 2022 (156) |
| 178 | SANFORD_IMAGENETICS | ss5624203503 | Oct 17, 2022 (156) |
| 179 | SANFORD_IMAGENETICS | ss5625418771 | Oct 17, 2022 (156) |
| 180 | TOMMO_GENOMICS | ss5668378023 | Oct 17, 2022 (156) |
| 181 | EVA | ss5799482433 | Oct 17, 2022 (156) |
| 182 | EVA | ss5800081364 | Oct 17, 2022 (156) |
| 183 | YY_MCH | ss5800547192 | Oct 17, 2022 (156) |
| 184 | EVA | ss5831884464 | Oct 17, 2022 (156) |
| 185 | EVA | ss5847157427 | Oct 17, 2022 (156) |
| 186 | EVA | ss5847536922 | Oct 17, 2022 (156) |
| 187 | EVA | ss5848259416 | Oct 17, 2022 (156) |
| 188 | EVA | ss5848884144 | Oct 17, 2022 (156) |
| 189 | EVA | ss5908031939 | Oct 17, 2022 (156) |
| 190 | EVA | ss5937245688 | Oct 17, 2022 (156) |
| 191 | EVA | ss5979272162 | Oct 17, 2022 (156) |
| 192 | EVA | ss5981193298 | Oct 17, 2022 (156) |
| 193 | 1000Genomes | NC_000001.10 - 46870761 | Oct 11, 2018 (152) |
| 194 | 1000Genomes_30x | NC_000001.11 - 46405089 | Oct 17, 2022 (156) |
| 195 | The Avon Longitudinal Study of Parents and Children | NC_000001.10 - 46870761 | Oct 11, 2018 (152) |
| 196 | Genetic variation in the Estonian population | NC_000001.10 - 46870761 | Oct 11, 2018 (152) |
| 197 | ExAC | NC_000001.10 - 46870761 | Oct 11, 2018 (152) |
| 198 | FINRISK | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 199 | The Danish reference pan genome | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 200 | gnomAD - Genomes | NC_000001.11 - 46405089 | Apr 25, 2021 (155) |
| 201 | gnomAD - Exomes | NC_000001.10 - 46870761 | Jul 12, 2019 (153) |
| 202 | Genome of the Netherlands Release 5 | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 203 | HGDP-CEPH-db Supplement 1 | NC_000001.9 - 46643348 | Apr 25, 2020 (154) |
| 204 | HapMap | NC_000001.11 - 46405089 | Apr 25, 2020 (154) |
| 205 | KOREAN population from KRGDB | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 206 | Korean Genome Project | NC_000001.11 - 46405089 | Apr 25, 2020 (154) |
| 207 | Medical Genome Project healthy controls from Spanish population | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 208 | Northern Sweden | NC_000001.10 - 46870761 | Jul 12, 2019 (153) |
| 209 | The PAGE Study | NC_000001.11 - 46405089 | Jul 12, 2019 (153) |
| 210 | Ancient Sardinia genome-wide 1240k capture data generation and analysis | NC_000001.10 - 46870761 | Apr 25, 2021 (155) |
| 211 | Qatari | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 212 | SGDP_PRJ | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 213 | Siberian | NC_000001.10 - 46870761 | Apr 25, 2020 (154) |
| 214 | 8.3KJPN | NC_000001.10 - 46870761 | Apr 25, 2021 (155) |
| 215 | 14KJPN | NC_000001.11 - 46405089 | Oct 17, 2022 (156) |
| 216 | TopMed | NC_000001.11 - 46405089 | Apr 25, 2021 (155) |
| 217 | UK 10K study - Twins | NC_000001.10 - 46870761 | Oct 11, 2018 (152) |
| 218 | A Vietnamese Genetic Variation Database | NC_000001.10 - 46870761 | Jul 12, 2019 (153) |
| 219 | ALFA | NC_000001.11 - 46405089 | Apr 25, 2021 (155) |
| 220 | ClinVar | RCV000007116.4 | Jul 12, 2019 (153) |
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) |
|---|---|
| rs57947754 | May 24, 2008 (130) |
Added to this RefSNP Cluster:
| Submission IDs | Observation SPDI | Canonical SPDI | Source RSIDs |
|---|---|---|---|
| ss79030855, ss3638895996, ss3639445382 | NC_000001.8:46582780:C:A | NC_000001.11:46405088:C:A | (self) |
| 9517, ss108170325, ss110384633, ss118662550, ss163344459, ss166460748, ss198394442, ss205493694, ss275807551, ss284042340, ss290502567, ss480771103, ss491233572, ss491594126, ss825490915, ss1584468348, ss1712328937, ss3642765718, ss3847331625 | NC_000001.9:46643347:C:A | NC_000001.11:46405088:C:A | (self) |
| 1375457, 747640, 528254, 4727415, 4252, 1481990, 490786, 317540, 897262, 20596, 285067, 18851, 354400, 749445, 200536, 1655441, 747640, 153295, ss218357905, ss230515606, ss238213716, ss341962127, ss480786925, ss481683308, ss485180275, ss489741590, ss491293280, ss537169500, ss554061138, ss647858782, ss778890149, ss780852131, ss783036308, ss783536041, ss783995808, ss832293984, ss832945482, ss834351248, ss974435084, ss975104247, ss1067420944, ss1067845325, ss1290665023, ss1425792404, ss1574028037, ss1584007791, ss1600056269, ss1643050302, ss1685532068, ss1710903844, ss1751922054, ss1751922055, ss1794280150, ss1917728250, ss1918312470, ss1945993861, ss1945993862, ss1958268695, ss1958268697, ss1966735247, ss2019671756, ss2147684182, ss2632508923, ss2697594781, ss2710671047, ss2731473167, ss2746324053, ss2754495776, ss2984858125, ss2985507320, ss2986725176, ss3021083175, ss3021083176, ss3343431597, ss3625534692, ss3626085450, ss3626085451, ss3630545479, ss3632889562, ss3633584047, ss3634321794, ss3634321795, ss3635277963, ss3635997093, ss3637028372, ss3637753257, ss3640029155, ss3640029156, ss3640979667, ss3641273590, ss3644489767, ss3644489768, ss3646230107, ss3651409317, ss3651409318, ss3653630482, ss3654790006, ss3727000202, ss3744045517, ss3744345114, ss3744622726, ss3744622727, ss3746133810, ss3772124175, ss3772124176, ss3783395404, ss3789056467, ss3793929122, ss3823608018, ss3825563934, ss3826146451, ss3836460717, ss3848732465, ss3893719868, ss3983930318, ss3984792924, ss3986118302, ss4016907186, ss5143686134, ss5237264587, ss5314611623, ss5318361316, ss5505832393, ss5624203503, ss5625418771, ss5799482433, ss5800081364, ss5831884464, ss5847157427, ss5847536922, ss5848259416, ss5937245688, ss5979272162, ss5981193298 | NC_000001.10:46870760:C:A | NC_000001.11:46405088:C:A | (self) |
| RCV000007116.4, 1772455, 9718462, 58046, 770864, 27020, 2215127, 11290181, 10869972770, ss169614834, ss256302018, ss2162033239, ss3023598477, ss3646652979, ss3686662781, ss3725020566, ss3770805551, ss3799145664, ss3841866479, ss3944392863, ss4447683846, ss5236868935, ss5237631905, ss5242072928, ss5314395763, ss5443157940, ss5514246520, ss5668378023, ss5800547192, ss5848884144, ss5908031939 | NC_000001.11:46405088:C:A | NC_000001.11:46405088:C:A | (self) |
| ss13019202 | NT_004852.15:3210026:C:A | NC_000001.11:46405088:C:A | (self) |
| ss16395434, ss20535610 | NT_032977.6:8433830:C:A | NC_000001.11:46405088:C:A | (self) |
| ss414956, ss587534, ss1925495, ss1925873, ss2600464, ss16262214, ss44084610, ss65727425, ss66584665, ss66860923, ss67293310, ss67697191, ss68765097, ss70455703, ss70771906, ss71347329, ss74962542, ss79160397, ss83427387, ss86240994, ss99205092, ss122182448, ss138955092, ss154257386, ss159433884, ss159697386, ss160617187, ss171565310, ss173578227, ss244294464 | NT_032977.9:16842678:C:A | NC_000001.11:46405088:C:A | (self) |
Help
Publications tab displays PubMed articles citing the variation as a listing of PMID, Title, Author, Year, Journal, ordered by Year, descending.
101
citations for rs324420
| PMID | Title | Author | Year | Journal |
|---|---|---|---|---|
| 12060782 | A missense mutation in human fatty acid amide hydrolase associated with problem drug use. | Sipe JC et al. | 2002 | Proceedings of the National Academy of Sciences of the United States of America |
| 15254019 | Reduced cellular expression and activity of the P129T mutant of human fatty acid amide hydrolase: evidence for a link between defects in the endocannabinoid system and problem drug use. | Chiang KP et al. | 2004 | Human molecular genetics |
| 15986317 | Identification of risk and age-at-onset genes on chromosome 1p in Parkinson disease. | Oliveira SA et al. | 2005 | American journal of human genetics |
| 16882734 | Genetic predictors for acute experimental cold and heat pain sensitivity in humans. | Kim H et al. | 2006 | Journal of medical genetics |
| 16972078 | The fatty acid amide hydrolase 385 A/A (P129T) variant: haplotype analysis of an ancient missense mutation and validation of risk for drug addiction. | Flanagan JM et al. | 2006 | Human genetics |
| 17216208 | The functional Pro129Thr variant of the FAAH gene is not associated with various fat accumulation phenotypes in a population-based cohort of 5,801 whites. | Jensen DP et al. | 2007 | Journal of molecular medicine (Berlin, Germany) |
| 17847002 | An LRP8 variant is associated with familial and premature coronary artery disease and myocardial infarction. | Shen GQ et al. | 2007 | American journal of human genetics |
| 17991615 | Rapid screening for potentially relevant polymorphisms in the human fatty acid amide hydrolase gene using Pyrosequencing. | Doehring A et al. | 2007 | Prostaglandins & other lipid mediators |
| 18705688 | Marijuana withdrawal and craving: influence of the cannabinoid receptor 1 (CNR1) and fatty acid amide hydrolase (FAAH) genes. | Haughey HM et al. | 2008 | Addiction (Abingdon, England) |
| 19002671 | Intermediate cannabis dependence phenotypes and the FAAH C385A variant: an exploratory analysis. | Schacht JP et al. | 2009 | Psychopharmacology |
| 19014633 | Lack of association of genetic variants in genes of the endocannabinoid system with anorexia nervosa. | Müller TD et al. | 2008 | Child and adolescent psychiatry and mental health |
| 19053981 | The role of fatty acid hydrolase gene variants in inflammatory bowel disease. | Storr M et al. | 2009 | Alimentary pharmacology & therapeutics |
| 19165169 | Variants in the CNR1 and the FAAH genes and adiposity traits in the community. | Lieb W et al. | 2009 | Obesity (Silver Spring, Md.) |
| 19335651 | Candidate genes for cannabis use disorders: findings, challenges and directions. | Agrawal A et al. | 2009 | Addiction (Abingdon, England) |
| 19659925 | Association of CNR1 and FAAH endocannabinoid gene polymorphisms with anorexia nervosa and bulimia nervosa: evidence for synergistic effects. | Monteleone P et al. | 2009 | Genes, brain, and behavior |
| 19890266 | More aroused, less fatigued: fatty acid amide hydrolase gene polymorphisms influence acute response to amphetamine. | Dlugos AM et al. | 2010 | Neuropsychopharmacology |
| 19958092 | Obesity-related dyslipidemia associated with FAAH, independent of insulin response, in multigenerational families of Northern European descent. | Zhang Y et al. | 2009 | Pharmacogenomics |
| 20010552 | Individual and additive effects of the CNR1 and FAAH genes on brain response to marijuana cues. | Filbey FM et al. | 2010 | Neuropsychopharmacology |
| 20033240 | Eating disorders: the current status of molecular genetic research. | Scherag S et al. | 2010 | European child & adolescent psychiatry |
| 20044928 | Mutation screen and association studies for the fatty acid amide hydrolase (FAAH) gene and early onset and adult obesity. | Müller TD et al. | 2010 | BMC medical genetics |
| 20054193 | Evaluating the association of FAAH common gene variation with childhood, adult severe obesity and type 2 diabetes in the French population. | Durand E et al. | 2008 | Obesity facts |
| 20080186 | Investigation of CNR1 and FAAH endocannabinoid gene polymorphisms in bipolar disorder and major depression. | Monteleone P et al. | 2010 | Pharmacological research |
| 20631561 | Endocannabinoid Pro129Thr FAAH functional polymorphism but not 1359G/A CNR1 polymorphism is associated with antipsychotic-induced weight gain. | Monteleone P et al. | 2010 | Journal of clinical psychopharmacology |
| 21118518 | Population sequencing of two endocannabinoid metabolic genes identifies rare and common regulatory variants associated with extreme obesity and metabolite level. | Harismendy O et al. | 2010 | Genome biology |
| 21333900 | The role of genetics in IBS. | Saito YA et al. | 2011 | Gastroenterology clinics of North America |
| 21477106 | Association of genetic variation in cannabinoid mechanisms and gastric motor functions and satiation in overweight and obesity. | Vazquez-Roque MI et al. | 2011 | Neurogastroenterology and motility |
| 21798285 | Endocannabinoid influence in drug reinforcement, dependence and addiction-related behaviors. | Serrano A et al. | 2011 | Pharmacology & therapeutics |
| 21803011 | Pharmacogenetic trial of a cannabinoid agonist shows reduced fasting colonic motility in patients with nonconstipated irritable bowel syndrome. | Wong BS et al. | 2011 | Gastroenterology |
| 22068813 | The fatty acid amide hydrolase (FAAH) gene variant rs324420 AA/AC is not associated with weight loss in a 1-year lifestyle intervention for obese children and adolescents. | Knoll N et al. | 2012 | Hormone and metabolic research = Hormon- und Stoffwechselforschung = Hormones et metabolisme |
| 22123166 | Contributions of endocannabinoid signaling to psychiatric disorders in humans: genetic and biochemical evidence. | Hillard CJ et al. | 2012 | Neuroscience |
| 22288893 | Randomized pharmacodynamic and pharmacogenetic trial of dronabinol effects on colon transit in irritable bowel syndrome-diarrhea. | Wong BS et al. | 2012 | Neurogastroenterology and motility |
| 22688188 | Convergent translational evidence of a role for anandamide in amygdala-mediated fear extinction, threat processing and stress-reactivity. | Gunduz-Cinar O et al. | 2013 | Molecular psychiatry |
| 22832737 | Fatty-acid amide hydrolase polymorphisms and post-traumatic stress disorder after penetrating brain injury. | Pardini M et al. | 2012 | Translational psychiatry |
| 23048207 | Distinct and replicable genetic risk factors for acute respiratory distress syndrome of pulmonary or extrapulmonary origin. | Tejera P et al. | 2012 | Journal of medical genetics |
| 23333123 | Genetic variation in the endocannabinoid degrading enzyme fatty acid amide hydrolase (FAAH) and their influence on weight loss and insulin resistance under a high monounsaturated fat hypocaloric diet. | de Luis D et al. | 2013 | Journal of diabetes and its complications |
| 23556448 | Association of a functional FAAH polymorphism with methamphetamine-induced symptoms and dependence in a Malaysian population. | Sim MS et al. | 2013 | Pharmacogenomics |
| 23793356 | Neuroimaging in psychiatric pharmacogenetics research: the promise and pitfalls. | Falcone M et al. | 2013 | Neuropsychopharmacology |
| 23799528 | Moderation of antipsychotic-induced weight gain by energy balance gene variants in the RUPP autism network risperidone studies. | Nurmi EL et al. | 2013 | Translational psychiatry |
| 24172113 | Impulsivity, variation in the cannabinoid receptor (CNR1) and fatty acid amide hydrolase (FAAH) genes, and marijuana-related problems. | Bidwell LC et al. | 2013 | Journal of studies on alcohol and drugs |
| 24180398 | Endocannabinoid signaling in the etiology and treatment of major depressive illness. | Hillard CJ et al. | 2014 | Current pharmaceutical design |
| 24407958 | Risky alcohol consumption in young people is associated with the fatty acid amide hydrolase gene polymorphism C385A and affective rating of drug pictures. | Bühler KM et al. | 2014 | Molecular genetics and genomics |
| 24444427 | Association of cannabinoid type 1 receptor and fatty acid amide hydrolase genetic polymorphisms in Chinese patients with irritable bowel syndrome. | Jiang Y et al. | 2014 | Journal of gastroenterology and hepatology |
| 25045619 | The Genetics, Neurogenetics and Pharmacogenetics of Addiction. | Demers CH et al. | 2014 | Current behavioral neuroscience reports |
| 25558980 | Novel associations between FAAH genetic variants and postoperative central opioid-related adverse effects. | Sadhasivam S et al. | 2015 | The pharmacogenomics journal |
| 25731744 | FAAH genetic variation enhances fronto-amygdala function in mouse and human. | Dincheva I et al. | 2015 | Nature communications |
| 26036940 | The fatty acid amide hydrolase C385A variant affects brain binding of the positron emission tomography tracer [11C]CURB. | Boileau I et al. | 2015 | Journal of cerebral blood flow and metabolism |
| 26189450 | Genetic Moderation of Stress Effects on Corticolimbic Circuitry. | Bogdan R et al. | 2016 | Neuropsychopharmacology |
| 26272535 | The placebo effect: From concepts to genes. | Colagiuri B et al. | 2015 | Neuroscience |
| 26806592 | Interactions between dietary oil treatments and genetic variants modulate fatty acid ethanolamides in plasma and body weight composition. | Pu S et al. | 2016 | The British journal of nutrition |
| 26808012 | Effect of endocannabinoid degradation on pain: role of FAAH polymorphisms in experimental and postoperative pain in women treated for breast cancer. | Cajanus K et al. | 2016 | Pain |
| 26857901 | Involvement of Endocannabinoids in Alcohol "Binge" Drinking: Studies of Mice with Human Fatty Acid Amide Hydrolase Genetic Variation and After CB1 Receptor Antagonists. | Zhou Y et al. | 2016 | Alcoholism, clinical and experimental research |
| 26923505 | Interactions Between Anandamide and Corticotropin-Releasing Factor Signaling Modulate Human Amygdala Function and Risk for Anxiety Disorders: An Imaging Genetics Strategy for Modeling Molecular Interactions. | Demers CH et al. | 2016 | Biological psychiatry |
| 27074158 | Dose-dependent cannabis use, depressive symptoms, and FAAH genotype predict sleep quality in emerging adults: a pilot study. | Maple KE et al. | 2016 | The American journal of drug and alcohol abuse |
| 27140937 | Genetic variants associated with physical and mental characteristics of the elite athletes in the Polish population. | Peplonska B et al. | 2017 | Scandinavian journal of medicine & science in sports |
| 27345297 | Fatty Acid Amide Hydrolase Binding in Brain of Cannabis Users: Imaging With the Novel Radiotracer [(11)C]CURB. | Boileau I et al. | 2016 | Biological psychiatry |
| 27394933 | Genetic variation in FAAH is associated with cannabis use disorders in a young adult sample of Mexican Americans. | Melroy-Greif WE et al. | 2016 | Drug and alcohol dependence |
| 27642547 | Genetic and Environmental Factors Associated with Cannabis Involvement. | Bogdan R et al. | 2016 | Current addiction reports |
| 27895608 | Genetic Consideration of Schizotypal Traits: A Review. | Walter EE et al. | 2016 | Frontiers in psychology |
| 27977335 | Fatty acid amide hydrolase-morphine interaction influences ventilatory response to hypercapnia and postoperative opioid outcomes in children. | Chidambaran V et al. | 2017 | Pharmacogenomics |
| 28150397 | Severity of alcohol dependence is associated with the fatty acid amide hydrolase Pro129Thr missense variant. | Sloan ME et al. | 2018 | Addiction biology |
| 28534260 | Pharmacogenetics of Cannabinoids. | Hryhorowicz S et al. | 2018 | European journal of drug metabolism and pharmacokinetics |
| 29652995 | [Association of polymorphisms of NAPE-PLD and FAAH genes with schizophrenia in Chinese Han population]. | Si P et al. | 2018 | Zhonghua yi xue yi chuan xue za zhi = Zhonghua yixue yichuanxue zazhi = Chinese journal of medical genetics |
| 29967158 | Role for fatty acid amide hydrolase (FAAH) in the leptin-mediated effects on feeding and energy balance. | Balsevich G et al. | 2018 | Proceedings of the National Academy of Sciences of the United States of America |
| 30126012 | FAAH variant Pro129Thr modulates subjective effects produced by cocaine administration. | Patel MM et al. | 2018 | The American journal on addictions |
| 30129173 | Genetic polymorphisms of the endocannabinoid system in obesity and diabetes. | Doris JM et al. | 2019 | Diabetes, obesity & metabolism |
| 30949563 | FAAH genotype, CRFR1 genotype, and cortisol interact to predict anxiety in an aging, rural Hispanic population: A Project FRONTIER study. | Harris BN et al. | 2019 | Neurobiology of stress |
| 30985623 | ||||
| 31013550 | Acute effects of cannabinoids on addiction endophenotypes are moderated by genes encoding the CB1 receptor and FAAH enzyme. | Hindocha C et al. | 2020 | Addiction biology |
| 31085105 | Genetic Variants Associated with Cancer Pain and Response to Opioid Analgesics: Implications for Precision Pain Management. | Yang GS et al. | 2019 | Seminars in oncology nursing |
| 31184938 | CNR1 and FAAH variation and affective states induced by marijuana smoking. | Palmer RHC et al. | 2019 | The American journal of drug and alcohol abuse |
| 31335650 | OPRM1 rs1799971, COMT rs4680, and FAAH rs324420 genes interact with placebo procedures to induce hypoalgesia. | Colloca L et al. | 2019 | Pain |
| 31552390 | Placebo effects and the molecular biological components involved. | Cai L et al. | 2019 | General psychiatry |
| 31789429 | FAAH levels and its genetic polymorphism association with susceptibility to methamphetamine dependence. | Zhang W et al. | 2020 | Annals of human genetics |
| 31910433 | Lower brain fatty acid amide hydrolase in treatment-seeking patients with alcohol use disorder: a positron emission tomography study with [C-11]CURB. | Best LM et al. | 2020 | Neuropsychopharmacology |
| 31914367 | HYPNOTIZABILITY-RELATED FAAH C385A POLYMORPHISM: POSSIBLE ENDOCANNABINOID CONTRIBUTION TO SUGGESTION-INDUCED ANALGESIA. | Presciuttini S et al. | 2020 | The International journal of clinical and experimental hypnosis |
| 31960544 | Fatty acid amide hydrolase is lower in young cannabis users. | Jacobson MR et al. | 2021 | Addiction biology |
| 32398646 | Do AKT1, COMT and FAAH influence reports of acute cannabis intoxication experiences in patients with first episode psychosis, controls and young adult cannabis users? | Hindocha C et al. | 2020 | Translational psychiatry |
| 32521537 | Elevated fatty acid amide hydrolase in the prefrontal cortex of borderline personality disorder: a [(11)C]CURB positron emission tomography study. | Kolla NJ et al. | 2020 | Neuropsychopharmacology |
| 32576619 | Effects of TPH2 gene variation and childhood trauma on the clinical and circuit-level phenotype of functional movement disorders. | Spagnolo PA et al. | 2020 | Journal of neurology, neurosurgery, and psychiatry |
| 32807182 | Clinical, genomics and networking analyses of a high-altitude native American Ecuadorian patient with congenital insensitivity to pain with anhidrosis: a case report. | López-Cortés A et al. | 2020 | BMC medical genomics |
| 33031748 | A Genome-wide Association Study Discovers 46 Loci of the Human Metabolome in the Hispanic Community Health Study/Study of Latinos. | Feofanova EV et al. | 2020 | American journal of human genetics |
| 33437986 | Heritability and family-based GWAS analyses of the N-acyl ethanolamine and ceramide plasma lipidome. | McGurk KA et al. | 2021 | Human molecular genetics |
| 33460184 | Association of the Fatty Acid Amide Hydrolase C385A Polymorphism With Alcohol Use Severity and Coping Motives in Heavy-Drinking Youth. | Best LM et al. | 2021 | Alcoholism, clinical and experimental research |
| 33723207 | Fear extinction learning and anandamide: an fMRI study in healthy humans. | Spohrs J et al. | 2021 | Translational psychiatry |
| 33729738 | Fatty acid amide hydrolase binding is inversely correlated with amygdalar functional connectivity: a combined positron emission tomography and magnetic resonance imaging study in healthy individuals. | Green DGJ et al. | 2021 | Journal of psychiatry & neuroscience |
| 33763108 | Whole Genome Interpretation for a Family of Five. | Corpas M et al. | 2021 | Frontiers in genetics |
| 34051704 | A common genetic variant in fatty acid amide hydrolase is linked to alterations in fear extinction neural circuitry in a racially diverse, nonclinical sample of adults. | Zabik NL et al. | 2022 | Journal of neuroscience research |
| 34151472 | Cannabinoid polymorphisms interact with plasma endocannabinoid levels to predict fear extinction learning. | Ney LJ et al. | 2021 | Depression and anxiety |
| 34171108 | Cannabinoid receptor type 2 gene is associated with comorbidity of schizophrenia and cannabis dependence and fatty acid amide hydrolase gene is associated with cannabis dependence in the Spanish population. | Arias Horcajadas F et al. | 2023 | Adicciones |
| 34566715 | FAAH and CNR1 Polymorphisms in the Endocannabinoid System and Alcohol-Related Sleep Quality. | Soundararajan S et al. | 2021 | Frontiers in psychiatry |
| 34871222 | Influence of genetic variants of opioid-related genes on opioid-induced adverse effects in patients with lung cancer: A STROBE-compliant observational study. | Tanaka R et al. | 2021 | Medicine |
| 34893921 | FAAH polymorphism (rs324420) modulates extinction recall in healthy humans: an fMRI study. | Spohrs J et al. | 2022 | European archives of psychiatry and clinical neuroscience |
| 34916909 | Genetic Variants of Fatty Acid Amide Hydrolase Modulate Acute Inflammatory Responses to Colitis in Adult Male Mice. | Vecchiarelli HA et al. | 2021 | Frontiers in cellular neuroscience |
| 34952353 | The influence of FAAH genetic variation on physiological, cognitive, and neural signatures of fear acquisition and extinction learning in women with PTSD. | Crombie KM et al. | 2022 | NeuroImage. Clinical |
| 35105857 | Circulating endocannabinoids and genetic polymorphisms as predictors of posttraumatic stress disorder symptom severity: heterogeneity in a community-based cohort. | deRoon-Cassini TA et al. | 2022 | Translational psychiatry |
| 35327588 | Biomarkers of the Endocannabinoid System in Substance Use Disorders. | Navarrete F et al. | 2022 | Biomolecules |
| 35387194 | Personalized Dietary Recommendations Based on Lipid-Related Genetic Variants: A Systematic Review. | Pérez-Beltrán YE et al. | 2022 | Frontiers in nutrition |
| 35537858 | Cannabidiol for Functional Dyspepsia With Normal Gastric Emptying: A Randomized Controlled Trial. | Atieh J et al. | 2022 | The American journal of gastroenterology |
| 35944262 | Impact of Childhood Trauma Exposure, Genetic Variation in Endocannabinoid Signaling, and Anxiety on Frontolimbic Pathways in Children. | Marusak HA et al. | 2023 | Cannabis and cannabinoid research |
| 36099111 | Association of Alcohol Use Disorder Risk With ADH1B, DRD2, FAAH, SLC39A8, GCKR, and PDYN Genetic Polymorphisms. | Legaki E et al. | 2022 | In vivo (Athens, Greece) |
| 36101457 | FAAH rs324420 Polymorphism Is Associated with Performance in Elite Rink-Hockey Players. | Silva HH et al. | 2022 | Biology |
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.