Traits - Well-being - Subjective well-being

Download PDF creates a visual, rasterized copy. Use Print for selectable text and better assistive-technology support.

Skip to results
Traits explorer / Individual report

Well-being - Subjective well-being

General

Subjective well-being combines life satisfaction and positive affect into a single measure of how people feel about their lives.

GWAS work has identified variants linked to subjective well-being, with overlap with personality traits and mental health.

This result reflects research-level variation in well-being-related traits and is not a clinical assessment.

Relationships, work, health, life events, and overall circumstances strongly shape actual well-being.

Selected sample
Demo Report
Report markers
113 SNP entries
Genes
0
Research
1 study
Your report

Genetic tendency

Average genetic tendency

Was this result accurate for you?

Explore the evidence

Behind this report

Review the genes, tested markers and supporting research.

SNPs tested

These are the unique genetic markers analyzed for this trait. Genotypes showing "--" were not identified in your DNA file. Report marker totals can include repeated study entries; this table shows each SNP once.

Genotypes and reported variant frequencies
SNPChromosomeGenotypeVariant alleleFrequency
rs10795061CTT45.75%
rs11644362CC44.90%
rs12298541ACC38.31%
rs13102973TC37.16%
rs1480570AAA66.27%
rs1484140GAA54.41%
rs1654345AAA74.15%
rs2058382AG59.88%
rs4671458CTT20.39%
rs7291412GTT34.38%
rs78388617GTT8.50%
rs10508258GTT45.84%
rs4478137GAA62.70%
rs1960156CC24.08%
rs3104705--13.00%
rs10067176--A22.97%
rs1085719--A4.65%
rs10958960--G88.76%
rs11216168--A14.71%
rs11245339--A35.96%
rs11245539--A26.14%
rs11807971--C61.10%
rs12726220--G94.90%
rs12754538--T24.10%
rs13185787--25.63%
rs147158068--G97.27%
rs17449243--C84.82%
rs17453880--A32.06%
rs17783634--A48.35%
rs1941687--59.64%
rs2075677--G76.03%
rs2312971--C52.74%
rs2574985--27.98%
rs258668--C57.55%
rs2834018--A25.10%
rs3756290--G24.31%
rs4606360--63.08%
rs4958581--C65.51%
rs6141769--C16.19%
rs6500768--31.10%
rs6572548--T28.07%
rs6579956--T47.37%
rs6772840--A8.61%
rs75279353--A2.09%
rs7569426--A57.54%
rs7927771--G65.79%
rs9382403--65.31%
rs9528554--T74.93%
rs9533975--T58.08%
rs9572053--A22.39%
rs9840016--79.20%
rs7045089--54.71%
rs6787172--44.58%
rs6919210--C18.82%
rs13041414--G59.92%
rs139049023--G99.36%
rs1433188--T60.28%
rs144077837--4.97%
rs4942783--C52.63%
rs57682148--C99.83%
rs60836640--G99.24%
rs61850473--94.85%
rs61905145--A14.75%
rs62341806--T52.55%
rs6454289--T42.68%
rs6463523--66.49%
rs6562728--A99.79%
rs67881926--94.59%
rs6848123--C49.79%
rs6935502--41.92%
rs6954274--A37.65%
rs6955467--G62.50%
rs7072898--A0.66%
rs71338529--A1.07%
rs72834178--G98.35%
rs73186011--A3.32%
rs7672847--A82.88%
rs77202885--G93.20%
rs78974596--T11.25%
rs78999617--G99.73%
rs8001018--72.48%
rs833911--C35.99%
rs9931543--C73.39%
rs10176315--C77.03%
rs10830201--A39.38%
rs111443797--A1.86%
rs11176342--92.51%
rs1124609--91.00%
rs113959751--T4.62%
rs115590131--T1.06%
rs11721082--G97.98%
rs12045438--C75.38%
rs12125335--C85.45%
rs12168402--T38.55%
rs12608181--49.68%
rs12610177--T31.70%
rs144998313--G98.74%
rs149797950--95.75%
rs149934137--T0.26%
rs1714507--A54.98%
rs17217370--G99.88%
rs1752216--A95.21%
rs1815787--11.73%
rs186389748--C0.41%
rs188951461--G98.89%
rs3213545--A28.90%
rs34256173--T10.15%
rs4075536--A80.26%
rs3104707--12.88%
rs191127136--99.76%
rs191130939--99.04%
rs28633434--A48.23%
rs298555--69.48%

DNA Genics reports genotypes based on the 'positive' strand of the human genome reference sequence (build 37/HG19). Other companies may use the opposite strand, so genotypes may need conversion for comparison.

Research studies

The following peer-reviewed scientific studies support the genetic associations analyzed in this report.

2016 Jun Nat Genet

Authors: Okbay A, Baselmans BM, De Neve JE, Turley P, Nivard MG, Fontana MA, Meddens SF, Linnér RK, Rietveld CA, Derringer J, Gratten J, Lee JJ, Liu JZ, de Vlaming R, Ahluwalia TS, Buchwald J, Cavadino A, Frazier-Wood AC, Furlotte NA, Garfield V, Geisel MH, Gonzalez JR, Haitjema S, Karlsson R, van der Laan SW, Ladwig KH, Lahti J, van der Lee SJ, Lind PA, Liu T, Matteson L, Mihailov E, Miller MB, Minica CC, Nolte IM, Mook-Kanamori D, van der Most PJ, Oldmeadow C, Qian Y, Raitakari O, Rawal R, Realo A, Rueedi R, Schmidt B, Smith AV, Stergiakouli E, Tanaka T, Taylor K, Thorleifsson G, Wedenoja J, Wellmann J, Westra HJ, Willems SM, Zhao W, , Amin N, Bakshi A, Bergmann S, Bjornsdottir G, Boyle PA, Cherney S, Cox SR, Davies G, Davis OS, Ding J, Direk N, Eibich P, Emeny RT, Fatemifar G, Faul JD, Ferrucci L, Forstner AJ, Gieger C, Gupta R, Harris TB, Harris JM, Holliday EG, Hottenga JJ, De Jager PL, Kaakinen MA, Kajantie E, Karhunen V, Kolcic I, Kumari M, Launer LJ, Franke L, Li-Gao R, Liewald DC, Koini M, Loukola A, Marques-Vidal P, Montgomery GW, Mosing MA, Paternoster L, Pattie A, Petrovic KE, Pulkki-Råback L, Quaye L, Räikkönen K, Rudan I, Scott RJ, Smith JA, Sutin AR, Trzaskowski M, Vinkhuyzen AE, Yu L, Zabaneh D, Attia JR, Bennett DA, Berger K, Bertram L, Boomsma DI, Snieder H, Chang SC, Cucca F, Deary IJ, van Duijn CM, Eriksson JG, Bültmann U, de Geus EJ, Groenen PJ, Gudnason V, Hansen T, Hartman CA, Haworth CM, Hayward C, Heath AC, Hinds DA, Hyppönen E, Iacono WG, Järvelin MR, Jöckel KH, Kaprio J, Kardia SL, Keltikangas-Järvinen L, Kraft P, Kubzansky LD, Lehtimäki T, Magnusson PK, Martin NG, McGue M, Metspalu A, Mills M, de Mutsert R, Oldehinkel AJ, Pasterkamp G, Pedersen NL, Plomin R, Polasek O, Power C, Rich SS, Rosendaal FR, den Ruijter HM, Schlessinger D, Schmidt H, Svento R, Schmidt R, Alizadeh BZ, Sørensen TI, Spector TD, Starr JM, Stefansson K, Steptoe A, Terracciano A, Thorsteinsdottir U, Thurik AR, Timpson NJ, Tiemeier H, Uitterlinden AG, Vollenweider P, Wagner GG, Weir DR, Yang J, Conley DC, Smith GD, Hofman A, Johannesson M, Laibson DI, Medland SE, Meyer MN, Pickrell JK, Esko T, Krueger RF, Beauchamp JP, Koellinger PD, Benjamin DJ, Bartels M, Cesarini D

Study sample: 298,420 individuals (european ancestry)

Browse traits

Coverage: 14/113 SNP entries detected (12%).

Reference: Human Genome Build 37 (HG19). Other testing companies may report using the opposite strand, requiring conversion for comparison.

DEMO Sample report with example data. Not your results.
SAMPLE REPORT Example DNA profile This is a sample report with example data. It is not your personal report, and the results do not describe you.
Sample data, not your report
Use code for 35% off • Expires Nov 09