Traits - Speeding-propensity tendency

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Speeding-propensity tendency

Behavioral Patterns

This trait reflects a UK Biobank-derived measure of how often people drive faster than the speed limit.

GWAS work has identified variants linked to this behavior, with overlap with risk tolerance and impulsivity traits.

This result reflects research-level variation in behavior and is not a driving assessment.

Personality, mood, peers, traffic conditions, vehicle, and life context all strongly shape actual driving behavior.

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Report markers
42 SNP entries
Genes
0
Research
1 study
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Genetic association

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Average genetic tendency

This is a weak, population-level genetic association, not a personal diagnosis or a definitive trait.

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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
rs185819CC53.57%
rs4313803AAA58.00%
rs9372625GAA38.24%
rs9875381AG40.00%
rs13083798GGG51.37%
rs2409691CTT48.22%
rs3021058CC53.86%
rs72828532--C81.95%
rs11128203--A53.44%
rs17516256--A62.69%
rs294381--28.06%
rs362307--T7.52%
rs58294838--82.26%
rs62062288--A21.96%
rs3922853--A17.36%
rs4801147--C55.79%
rs541421140--46.17%
rs55864511--G75.97%
rs575377383--92.92%
rs61106808--G87.61%
rs619466--G9.38%
rs6896357--C64.84%
rs7201179--43.21%
rs7291841--A54.12%
rs75591122--T9.06%
rs761277--G63.77%
rs7643341--T40.45%
rs9853563--95.14%
rs10465231--T54.89%
rs10753130--T16.52%
rs10858922--27.84%
rs11208920--A43.28%
rs12325727--46.24%
rs12546399--T11.07%
rs13265333--C39.80%
rs16864081--T23.78%
rs2433634--C71.79%
rs2588978--48.04%
rs2652460--46.78%
rs299741--40.76%
rs35514852--T35.74%
rs9391786--G58.02%

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.

2019 Feb Nat Genet

Authors: Karlsson Linnér R, Biroli P, Kong E, Meddens SFW, Wedow R, Fontana MA, Lebreton M, Tino SP, Abdellaoui A, Hammerschlag AR, Nivard MG, Okbay A, Rietveld CA, Timshel PN, Trzaskowski M, Vlaming R, Zünd CL, Bao Y, Buzdugan L, Caplin AH, Chen CY, Eibich P, Fontanillas P, Gonzalez JR, Joshi PK, Karhunen V, Kleinman A, Levin RZ, Lill CM, Meddens GA, Muntané G, Sanchez-Roige S, Rooij FJV, Taskesen E, Wu Y, Zhang F, , , , , Auton A, Boardman JD, Clark DW, Conlin A, Dolan CC, Fischbacher U, Groenen PJF, Harris KM, Hasler G, Hofman A, Ikram MA, Jain S, Karlsson R, Kessler RC, Kooyman M, MacKillop J, Männikkö M, Morcillo-Suarez C, McQueen MB, Schmidt KM, Smart MC, Sutter M, Thurik AR, Uitterlinden AG, White J, Wit H, Yang J, Bertram L, Boomsma DI, Esko T, Fehr E, Hinds DA, Johannesson M, Kumari M, Laibson D, Magnusson PKE, Meyer MN, Navarro A, Palmer AA, Pers TH, Posthuma D, Schunk D, Stein MB, Svento R, Tiemeier H, Timmers PRHJ, Turley P, Ursano RJ, Wagner GG, Wilson JF, Gratten J, Lee JJ, Cesarini D, Benjamin DJ, Koellinger PD, Beauchamp JP

Study sample: 557,923 individuals (european ancestry)

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Coverage: 7/42 SNP entries detected (16%).

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

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