TreeWAS – [G40] Epilepsy

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	1.000	0.000	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	1.000	0.000	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	1.000	0.000	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	1.000	0.000	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	1.000	0.000	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	1.000	0.000	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.999	0.001	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.999	0.001	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.999	0.001	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.999	0.001	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.998	0.002	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.998	0.002	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.998	0.002	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.998	0.002	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.998	0.002	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.998	0.002	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.997	0.003	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.997	0.003	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.997	0.003	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.997	0.003	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.997	0.003	0.000
rs11652466 lBF = `5.34235` Chr`17` : `56,061,709`	0.996	0.004	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.996	0.004	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.996	0.004	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.995	0.005	0.000
rs10498733 lBF = `23.5841` Chr`6` : `28,699,691`	0.995	0.005	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.995	0.005	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.994	0.006	0.000
rs7755641 lBF = `23.1941` Chr`6` : `28,699,369`	0.994	0.006	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.994	0.006	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.993	0.007	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.993	0.007	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.993	0.007	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.992	0.008	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.992	0.008	0.000
rs115383412 lBF = `25.4663` Chr`6` : `29,196,418`	0.992	0.008	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.992	0.008	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.991	0.009	0.000
rs114239030 lBF = `16.2356` Chr`3` : `84,228,854`	0.991	0.009	0.000
rs12386522 lBF = `25.3267` Chr`6` : `28,928,167`	0.991	0.009	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.991	0.009	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.990	0.010	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.990	0.010	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.990	0.010	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.989	0.011	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.989	0.011	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.988	0.012	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.988	0.012	0.000
rs9468459 lBF = `21.7539` Chr`6` : `28,965,691`	0.988	0.012	0.000
rs9295784 lBF = `23.8073` Chr`6` : `28,969,148`	0.987	0.013	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.987	0.013	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.987	0.013	0.000
rs116256340 lBF = `8.67079` Chr`3` : `62,704,734`	0.986	0.014	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.986	0.014	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.986	0.014	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.985	0.015	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.985	0.015	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.984	0.016	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.983	0.017	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.983	0.017	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.982	0.018	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.981	0.019	0.000
rs3828923 lBF = `31.9633` Chr`6` : `29,590,715`	0.981	0.019	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.980	0.020	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.980	0.020	0.000
rs116434694 lBF = `8.6061` Chr`1` : `203,335,188`	0.980	0.020	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.980	0.020	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.980	0.020	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.980	0.020	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.979	0.021	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.979	0.021	0.000
rs80326437 lBF = `15.3913` Chr`6` : `28,689,661`	0.979	0.021	0.000
rs1107159 lBF = `13.878` Chr`6` : `28,671,723`	0.978	0.022	0.000
rs62225901 lBF = `13.6826` Chr`22` : `46,505,819`	0.977	0.023	0.000
rs1107158 lBF = `13.6284` Chr`6` : `28,671,651`	0.977	0.023	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.977	0.023	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.976	0.024	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.975	0.025	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.975	0.025	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.974	0.026	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.974	0.026	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.973	0.027	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.973	0.027	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.972	0.028	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.972	0.028	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.972	0.028	0.000
rs6901325 lBF = `11.8063` Chr`6` : `28,675,630`	0.970	0.030	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.970	0.030	0.000
rs7758798 lBF = `15.0907` Chr`6` : `28,749,012`	0.970	0.030	0.000
rs2860580 lBF = `89.9686` Chr`6` : `29,906,691`	0.000	0.031	0.969
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.969	0.031	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.969	0.031	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.969	0.031	0.000
rs6909960 lBF = `14.5496` Chr`6` : `28,688,921`	0.968	0.032	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.968	0.032	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.967	0.033	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.966	0.034	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.966	0.034	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.966	0.034	0.000
rs8192591 lBF = `69.5055` Chr`6` : `32,185,796`	0.965	0.035	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.964	0.036	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.964	0.036	0.000
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.963	0.037	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.963	0.037	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.962	0.038	0.000
rs17415601 lBF = `27.7061` Chr`6` : `29,452,411`	0.962	0.038	0.000
rs77421486 lBF = `2.96586` Chr`5` : `165,117,461`	0.962	0.038	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.961	0.039	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.960	0.040	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.960	0.040	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.960	0.040	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.959	0.041	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.959	0.041	0.000
rs1408272 lBF = `43.5505` Chr`6` : `25,842,951`	0.959	0.041	0.000
rs9378164 lBF = `72.2281` Chr`6` : `31,643,522`	0.958	0.042	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.958	0.042	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.957	0.043	0.000
rs3129996 lBF = `31.5544` Chr`6` : `30,651,587`	0.957	0.043	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.956	0.044	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.956	0.044	0.000
rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.955	0.045	0.000
rs72734666 lBF = `13.2903` Chr`5` : `13,273,417`	0.955	0.045	0.000
rs12231974 lBF = `6.07834` Chr`12` : `67,095,378`	0.954	0.046	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.953	0.047	0.000
rs17116970 lBF = `6.59001` Chr`14` : `46,592,058`	0.952	0.048	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.952	0.048	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.952	0.048	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.952	0.048	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.951	0.049	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.951	0.049	0.000
rs72788536 lBF = `19.7511` Chr`2` : `21,134,209`	0.951	0.049	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.950	0.050	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.950	0.050	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.950	0.050	0.000
rs80285835 lBF = `12.8912` Chr`10` : `65,168,543`	0.950	0.050	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.950	0.050	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.950	0.050	0.000
rs62373900 lBF = `10.0465` Chr`5` : `116,495,057`	0.950	0.050	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.949	0.051	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.949	0.051	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.948	0.052	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.948	0.052	0.000
rs3115572 lBF = `176.853` Chr`6` : `32,220,484`	0.948	0.052	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.947	0.053	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.946	0.054	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.946	0.054	0.000
rs2227956 lBF = `126.303` Chr`6` : `31,778,272`	0.946	0.054	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.946	0.054	0.000
rs1800562 lBF = `34.2038` Chr`6` : `26,093,141`	0.945	0.055	0.000
rs1539454 lBF = `14.3346` Chr`1` : `219,983,780`	0.945	0.055	0.000
rs116245640 lBF = `16.5949` Chr`2` : `194,726,307`	0.945	0.055	0.000
rs35814746 lBF = `136.674` Chr`6` : `28,299,088`	0.945	0.055	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.945	0.055	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.944	0.056	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.943	0.057	0.000
rs3750082 lBF = `3.32379` Chr`7` : `32,919,927`	0.943	0.057	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.942	0.058	0.000
rs80215559 lBF = `40.8472` Chr`6` : `25,918,225`	0.941	0.059	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.941	0.059	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.941	0.059	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.941	0.059	0.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	0.940	0.060	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.939	0.061	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.938	0.062	0.000
rs3094124 lBF = `32.2571` Chr`6` : `30,711,805`	0.938	0.062	0.000
rs2823752 lBF = `12.8636` Chr`21` : `17,717,125`	0.938	0.062	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.938	0.062	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.937	0.063	0.000
rs74840965 lBF = `28.8326` Chr`7` : `39,677,916`	0.937	0.063	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.936	0.064	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.935	0.065	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.935	0.065	0.000
rs9268167 lBF = `87.3034` Chr`6` : `32,272,437`	0.934	0.066	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.934	0.066	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.934	0.066	0.000
rs147683846 lBF = `20.6601` Chr`11` : `82,443,754`	0.933	0.067	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.930	0.070	0.000
rs2401797 lBF = `13.9776` Chr`5` : `13,384,463`	0.929	0.071	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.929	0.071	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.929	0.071	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.928	0.072	0.000
rs3130316 lBF = `174.356` Chr`6` : `32,221,228`	0.928	0.072	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.928	0.072	0.000
rs29255 lBF = `27.5069` Chr`6` : `29,579,544`	0.928	0.072	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.928	0.072	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.928	0.072	0.000
rs11811132 lBF = `14.4138` Chr`1` : `34,352,741`	0.928	0.072	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.928	0.072	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.927	0.073	0.000
rs77885874 lBF = `3.45781` Chr`5` : `125,848,356`	0.926	0.074	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.926	0.074	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.925	0.075	0.000
rs3130309 lBF = `176.728` Chr`6` : `32,215,472`	0.925	0.075	0.000
rs715044 lBF = `27.9833` Chr`6` : `29,593,788`	0.925	0.075	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.925	0.075	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.924	0.076	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.924	0.076	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.924	0.076	0.000
rs116983056 lBF = `21.567` Chr`20` : `36,880,899`	0.924	0.076	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.924	0.076	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.922	0.078	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.922	0.078	0.000
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rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.842	0.158	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.841	0.159	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.841	0.159	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.841	0.159	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.841	0.159	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.840	0.160	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.840	0.160	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.840	0.160	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.840	0.160	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.839	0.161	0.000
rs2238675 lBF = `6.01595` Chr`19` : `19,336,608`	0.839	0.161	0.000
rs71559084 lBF = `132.261` Chr`6` : `28,436,668`	0.837	0.163	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.837	0.163	0.000
rs7698598 lBF = `0.742457` Chr`4` : `119,951,647`	0.836	0.164	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.836	0.164	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.834	0.166	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.833	0.167	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.833	0.167	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.833	0.167	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.833	0.167	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.833	0.167	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.833	0.167	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.831	0.169	0.000
rs9268560 lBF = `325.75` Chr`6` : `32,389,512`	0.831	0.169	0.000
rs75603868 lBF = `15.5379` Chr`19` : `8,063,275`	0.831	0.169	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.830	0.170	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.829	0.171	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.828	0.172	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.828	0.172	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.828	0.172	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.828	0.172	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.827	0.173	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.827	0.173	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.827	0.173	0.000
rs3132572 lBF = `39.1162` Chr`6` : `30,861,729`	0.827	0.173	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.825	0.175	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.825	0.175	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.824	0.176	0.000
rs9267649 lBF = `133.096` Chr`6` : `31,824,828`	0.824	0.176	0.000
rs60164086 lBF = `8.49074` Chr`19` : `19,300,192`	0.824	0.176	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.823	0.177	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.821	0.179	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.821	0.179	0.000
rs117124364 lBF = `1.90172` Chr`21` : `34,369,761`	0.821	0.179	0.000
rs1559873 lBF = `85.3626` Chr`6` : `32,243,129`	0.820	0.180	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.819	0.180	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.819	0.181	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.819	0.181	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.819	0.181	0.000
rs1050529 lBF = `28.548` Chr`6` : `31,324,615`	0.000	0.181	0.819
rs34574480 lBF = `13.3586` Chr`12` : `115,307,567`	0.818	0.182	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.818	0.182	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.817	0.183	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.815	0.185	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.814	0.186	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.814	0.186	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.814	0.186	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.813	0.187	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.813	0.187	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.813	0.187	0.000
rs150097632 lBF = `16.4138` Chr`21` : `40,688,518`	0.812	0.188	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.812	0.188	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.811	0.189	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.811	0.189	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.810	0.190	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.810	0.190	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.810	0.190	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.809	0.191	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.809	0.191	0.000
rs2844650 lBF = `38.4418` Chr`6` : `30,902,533`	0.809	0.191	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.809	0.191	0.000
rs76637322 lBF = `10.6201` Chr`18` : `31,667,339`	0.808	0.192	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.808	0.192	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.808	0.192	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.807	0.193	0.000
rs9268176 lBF = `84.555` Chr`6` : `32,274,079`	0.807	0.193	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.806	0.193	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.806	0.194	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.806	0.194	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.806	0.194	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.805	0.195	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.803	0.197	0.000
rs186696265 lBF = `205.379` Chr`6` : `161,111,700`	0.803	0.197	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.802	0.198	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.802	0.198	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.801	0.199	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.801	0.199	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.801	0.199	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.799	0.201	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.202	0.798
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.798	0.202	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.797	0.202	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.797	0.203	0.000
rs78737652 lBF = `2.1355` Chr`10` : `55,897,071`	0.797	0.203	0.000
rs9268197 lBF = `84.1219` Chr`6` : `32,277,934`	0.797	0.203	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.796	0.204	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.796	0.204	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.8796

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.0503

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

1.0000

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

1.0000

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9999

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.9998

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9997

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9997

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9996

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9996

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9995

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9995

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9994

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9992

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9990

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9989

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9988

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9987

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9982

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9975

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9969

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9965

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9960

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9952

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9946

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9895

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9885

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9881

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9868

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9853

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9838

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9794

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9772

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.9748

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9747

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9732

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9725

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9719

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.9678

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9675

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9637

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9635

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9629

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9605

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9576

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9574

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9573

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9567

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9553

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9485

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.9480

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9454

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9438

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9391

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9375

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.9321

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9271

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9122

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9109

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9075

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9066

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9041

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8887

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8880

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8863

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8861

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8846

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8813

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8780

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8702

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8698

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8521

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8394

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8352

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8333

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8333

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8291

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8054

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8031

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8004

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7944

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7841

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7813

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7795

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7734

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7626

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7607

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7379

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7297

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7258

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7012

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6934

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6909

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6905

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6842

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6821

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6743

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6607

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6479

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6462

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6391

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6346

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6225

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6206

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5996

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5965

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5751

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5618

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5557

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5548

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5324

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5151

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5140

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5137

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4919

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4809

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4804

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4768

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4747

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4730

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.4544

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4498

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4484

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4293

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4187

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4161

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4100

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3968

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3936

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3815

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3796

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3700

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3647

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3492

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3407

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3372

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3256

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3215

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3153

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3030

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2993

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2943

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2900

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2696

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.2666

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2525

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2243

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2206

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2206

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1762

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1734

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.1702

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1618

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1588

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1522

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1450

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1415

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1294

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1268

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1107

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1083

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1068

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1060

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.1037

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1033

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0954

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0938

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0918

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0905

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0748

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0713

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0704

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0699

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0698

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0680

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.0568

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0530

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0501

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)