TreeWAS – [T39.3] Other nonsteroidal anti-inflammatory drugs [NSAID]

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
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.999	0.001	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.998	0.002	0.000
rs4666563 lBF = `8.16748` Chr`2` : `19,948,952`	0.997	0.003	0.000
rs2968614 lBF = `5.2935` Chr`2` : `36,157,207`	0.997	0.003	0.000
rs4777900 lBF = `4.9851` Chr`15` : `92,814,603`	0.000	0.005	0.995
rs2501559 lBF = `6.41319` Chr`9` : `140,565,196`	0.994	0.006	0.000
rs3749574 lBF = `21.4834` Chr`4` : `151,207,127`	0.994	0.006	0.000
rs17602038 lBF = `5.28663` Chr`11` : `113,364,691`	0.000	0.006	0.994
rs2155929 lBF = `5.09992` Chr`18` : `26,606,647`	0.993	0.007	0.000
rs3812497 lBF = `6.67685` Chr`9` : `140,611,436`	0.993	0.007	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.992	0.008	0.000
rs7654538 lBF = `10.9631` Chr`4` : `151,201,635`	0.991	0.009	0.000
rs6817154 lBF = `20.7823` Chr`4` : `151,206,319`	0.990	0.010	0.000
rs1897767 lBF = `5.8667` Chr`4` : `179,540,613`	0.000	0.011	0.989
rs17692336 lBF = `6.65834` Chr`19` : `32,972,119`	0.989	0.011	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.987	0.013	0.000
rs10025074 lBF = `9.18864` Chr`4` : `95,474,562`	0.986	0.014	0.000
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.984	0.016	0.000
rs3121290 lBF = `5.0484` Chr`10` : `30,207,685`	0.981	0.019	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.981	0.019	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.980	0.020	0.000
rs1612141 lBF = `2.4558` Chr`14` : `41,702,598`	0.000	0.022	0.978
rs2514218 lBF = `4.11351` Chr`11` : `113,392,994`	0.000	0.022	0.978
rs17496354 lBF = `5.1598` Chr`9` : `140,566,936`	0.978	0.022	0.000
rs117839344 lBF = `8.17878` Chr`12` : `58,183,636`	0.975	0.025	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.974	0.026	0.000
rs12345511 lBF = `5.5265` Chr`9` : `112,645,299`	0.972	0.028	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.968	0.032	0.000
rs12761761 lBF = `1.99853` Chr`10` : `133,775,375`	0.965	0.035	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.965	0.035	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.964	0.036	0.000
rs13405020 lBF = `2.66903` Chr`2` : `138,142,164`	0.962	0.038	0.000
rs206776 lBF = `62.7462` Chr`6` : `32,953,711`	0.962	0.038	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.962	0.038	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.961	0.039	0.000
rs549114 lBF = `5.53235` Chr`1` : `94,534,354`	0.960	0.040	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.960	0.040	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.960	0.040	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.960	0.040	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.959	0.041	0.000
rs114123372 lBF = `5.07346` Chr`5` : `148,922,150`	0.959	0.041	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.958	0.042	0.000
rs1665050 lBF = `2.11815` Chr`15` : `59,293,605`	0.000	0.043	0.957
rs4953076 lBF = `2.94502` Chr`2` : `44,480,950`	0.957	0.043	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.956	0.044	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.955	0.045	0.000
rs3099557 lBF = `2.73796` Chr`4` : `22,824,021`	0.000	0.046	0.954
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.953	0.047	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.953	0.047	0.000
rs479180 lBF = `19.7673` Chr`20` : `48,212,105`	0.953	0.047	0.000
rs61869920 lBF = `11.652` Chr`10` : `116,051,017`	0.953	0.047	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.951	0.049	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.950	0.050	0.000
rs12122440 lBF = `2.18554` Chr`1` : `76,477,207`	0.947	0.053	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.947	0.053	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.947	0.053	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.946	0.054	0.000
rs10947095 lBF = `89.9123` Chr`6` : `30,757,575`	0.945	0.055	0.000
rs11097431 lBF = `6.02195` Chr`4` : `95,506,842`	0.940	0.060	0.000
rs34118408 lBF = `5.19697` Chr`3` : `196,369,375`	0.940	0.060	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.939	0.061	0.000
rs10947091 lBF = `88.9982` Chr`6` : `30,747,216`	0.938	0.062	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.938	0.062	0.000
rs10817110 lBF = `6.05467` Chr`9` : `113,676,086`	0.937	0.063	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.937	0.063	0.000
rs1051794 lBF = `109.752` Chr`6` : `31,379,109`	0.936	0.064	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.933	0.067	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.932	0.068	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.931	0.069	0.000
rs79588679 lBF = `2.93535` Chr`18` : `19,907,770`	0.000	0.069	0.931
rs141727220 lBF = `5.77406` Chr`4` : `134,428,359`	0.930	0.070	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.929	0.071	0.000
rs17336353 lBF = `5.80747` Chr`4` : `95,516,516`	0.929	0.071	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.929	0.071	0.000
rs9468830 lBF = `85.8141` Chr`6` : `30,749,712`	0.929	0.071	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.929	0.071	0.000
rs59310540 lBF = `6.33099` Chr`7` : `4,853,493`	0.928	0.072	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.928	0.072	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.928	0.072	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.928	0.072	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.927	0.073	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.073	0.927
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.926	0.074	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.925	0.075	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.925	0.075	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.925	0.075	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.924	0.076	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.924	0.076	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.924	0.076	0.000
rs11758688 lBF = `88.8773` Chr`6` : `30,758,348`	0.923	0.077	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.923	0.077	0.000
rs3933796 lBF = `7.86721` Chr`9` : `96,185,405`	0.923	0.077	0.000
rs16897899 lBF = `88.0824` Chr`6` : `30,755,744`	0.923	0.077	0.000
rs6900029 lBF = `88.2259` Chr`6` : `30,756,596`	0.922	0.078	0.000
rs16897900 lBF = `86.7495` Chr`6` : `30,755,893`	0.922	0.078	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.922	0.078	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.922	0.078	0.000
rs7714832 lBF = `8.63638` Chr`5` : `149,675,169`	0.922	0.078	0.000
rs11737450 lBF = `15.0661` Chr`4` : `151,242,312`	0.922	0.078	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.078	0.922
rs4711229 lBF = `88.2579` Chr`6` : `30,756,744`	0.921	0.079	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.921	0.079	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.921	0.079	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.920	0.080	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.920	0.080	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.920	0.080	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.919	0.081	0.000
rs4713367 lBF = `87.4605` Chr`6` : `30,756,822`	0.919	0.081	0.000
rs12527415 lBF = `86.4047` Chr`6` : `30,754,540`	0.917	0.083	0.000
rs28780116 lBF = `86.3134` Chr`6` : `30,755,668`	0.917	0.083	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.917	0.083	0.000
rs6920124 lBF = `88.2531` Chr`6` : `30,756,593`	0.916	0.084	0.000
rs1051786 lBF = `106.433` Chr`6` : `31,378,425`	0.915	0.085	0.000
rs6931421 lBF = `1.54316` Chr`6` : `80,880,138`	0.915	0.085	0.000
rs13538 lBF = `1.58989` Chr`2` : `73,868,328`	0.915	0.085	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.915	0.085	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.914	0.086	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.913	0.087	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.912	0.088	0.000
rs13201769 lBF = `86.2755` Chr`6` : `30,756,066`	0.912	0.088	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.911	0.089	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.910	0.090	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.910	0.090	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.910	0.090	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.910	0.090	0.000
rs45451594 lBF = `5.69523` Chr`10` : `5,658,757`	0.908	0.092	0.000
rs17346504 lBF = `2.48944` Chr`2` : `137,923,761`	0.908	0.092	0.000
rs188135659 lBF = `15.5868` Chr`3` : `19,839,062`	0.908	0.092	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.906	0.094	0.000
rs28780119 lBF = `87.2027` Chr`6` : `30,755,863`	0.906	0.094	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.905	0.095	0.000
rs9267677 lBF = `81.4571` Chr`6` : `31,892,641`	0.904	0.096	0.000
rs6837957 lBF = `7.20634` Chr`4` : `151,241,258`	0.904	0.096	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.904	0.096	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.904	0.096	0.000
rs78427738 lBF = `14.854` Chr`14` : `101,760,044`	0.903	0.097	0.000
rs5745709 lBF = `2.23855` Chr`7` : `81,349,412`	0.902	0.098	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.902	0.098	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.901	0.099	0.000
rs2280801 lBF = `77.8248` Chr`6` : `31,592,064`	0.900	0.100	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.900	0.100	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.899	0.101	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.899	0.101	0.000
rs2121477 lBF = `20.7674` Chr`1` : `159,568,260`	0.898	0.102	0.000
rs10812610 lBF = `1.17372` Chr`9` : `27,533,984`	0.898	0.102	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.898	0.102	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.897	0.103	0.000
rs28732150 lBF = `77.4159` Chr`6` : `31,583,224`	0.896	0.104	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.896	0.104	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.895	0.105	0.000
rs12204590 lBF = `0.997626` Chr`6` : `1,337,393`	0.000	0.107	0.893
rs1335587 lBF = `1.93357` Chr`13` : `102,145,560`	0.893	0.107	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.892	0.108	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.892	0.108	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.892	0.108	0.000
rs147686985 lBF = `6.61696` Chr`3` : `166,728,917`	0.892	0.108	0.000
rs10775269 lBF = `5.80379` Chr`16` : `23,912,136`	0.000	0.109	0.891
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.891	0.109	0.000
rs79411886 lBF = `11.4958` Chr`7` : `94,561,983`	0.891	0.109	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.890	0.110	0.000
Affx-28465086 lBF = `95.2314` Chr`6` : `31,938,412`	0.890	0.110	0.000
rs9267673 lBF = `79.7719` Chr`6` : `31,883,679`	0.890	0.110	0.000
rs35337578 lBF = `96.86` Chr`6` : `31,938,451`	0.889	0.111	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.889	0.111	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.888	0.112	0.000
rs17102423 lBF = `1.06595` Chr`14` : `65,604,728`	0.887	0.113	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.885	0.115	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.885	0.115	0.000
rs12602637 lBF = `7.79106` Chr`17` : `72,766,408`	0.885	0.115	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.884	0.116	0.000
rs3827268 lBF = `5.10531` Chr`21` : `47,350,010`	0.883	0.117	0.000
rs587074 lBF = `10.0622` Chr`11` : `1,881,071`	0.882	0.118	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.882	0.118	0.000
rs116847944 lBF = `14.8527` Chr`17` : `32,238,030`	0.881	0.119	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.880	0.120	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.879	0.121	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.879	0.121	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.878	0.122	0.000
rs1208377 lBF = `17.1159` Chr`1` : `169,191,860`	0.878	0.122	0.000
rs17576670 lBF = `2.56905` Chr`2` : `62,817,019`	0.878	0.122	0.000
rs36063014 lBF = `5.33782` Chr`3` : `169,302,504`	0.878	0.122	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.878	0.122	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.878	0.122	0.000
rs28732175 lBF = `79.6912` Chr`6` : `32,085,278`	0.877	0.123	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.876	0.124	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.876	0.124	0.000
rs17403780 lBF = `1.93243` Chr`1` : `191,939,788`	0.876	0.124	0.000
rs11059 lBF = `15.2196` Chr`4` : `151,185,651`	0.876	0.124	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.876	0.124	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.876	0.124	0.000
rs7751505 lBF = `128.813` Chr`6` : `31,360,255`	0.876	0.124	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.876	0.124	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.875	0.125	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.874	0.126	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.874	0.126	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.874	0.126	0.000
rs10947207 lBF = `128.647` Chr`6` : `31,361,485`	0.872	0.128	0.000
rs9378200 lBF = `76.8929` Chr`6` : `31,572,927`	0.871	0.129	0.000
rs28732157 lBF = `77.3096` Chr`6` : `31,628,216`	0.871	0.129	0.000
rs11621135 lBF = `1.21794` Chr`14` : `71,659,609`	0.871	0.129	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.870	0.130	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.870	0.130	0.000
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rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.808	0.192	0.000
rs72981683 lBF = `3.40708` Chr`11` : `102,722,614`	0.808	0.192	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.807	0.193	0.000
rs111720385 lBF = `5.32077` Chr`18` : `43,373,121`	0.807	0.193	0.000
rs2523705 lBF = `98.6424` Chr`6` : `31,451,680`	0.806	0.194	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.806	0.194	0.000
rs118081779 lBF = `8.84977` Chr`14` : `27,218,316`	0.805	0.195	0.000
rs1116547 lBF = `2.6843` Chr`5` : `112,680,337`	0.000	0.195	0.805
rs17368582 lBF = `3.25453` Chr`11` : `102,738,075`	0.804	0.196	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.803	0.197	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.803	0.197	0.000
rs34925440 lBF = `14.4015` Chr`11` : `210,660`	0.803	0.197	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.803	0.197	0.000
rs116560015 lBF = `10.1889` Chr`11` : `51,526,911`	0.803	0.197	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.802	0.198	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.802	0.198	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.802	0.198	0.000
rs1940938 lBF = `1.16351` Chr`11` : `102,774,844`	0.801	0.199	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.801	0.199	0.000
rs73116718 lBF = `18.3781` Chr`3` : `78,952,189`	0.801	0.199	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.800	0.199	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.800	0.200	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.800	0.200	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.800	0.200	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.799	0.201	0.000
rs72877264 lBF = `29.5182` Chr`6` : `57,886,642`	0.799	0.201	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.798	0.202	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.798	0.202	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.798	0.202	0.000
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.798	0.202	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.798	0.202	0.000
rs2516422 lBF = `97.9547` Chr`6` : `31,449,269`	0.798	0.202	0.000
rs116825375 lBF = `17.8001` Chr`6` : `31,409,179`	0.797	0.203	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.797	0.203	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.797	0.203	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.796	0.204	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.796	0.204	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.796	0.204	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.796	0.204	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.795	0.205	0.000
rs6938674 lBF = `17.2375` Chr`6` : `31,408,004`	0.795	0.205	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.795	0.205	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.795	0.205	0.000
rs72847400 lBF = `18.2412` Chr`6` : `31,389,121`	0.794	0.206	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.794	0.206	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.794	0.206	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.794	0.206	0.000
rs116157207 lBF = `16.4805` Chr`6` : `31,518,764`	0.793	0.207	0.000
Affx-28456399 lBF = `17.6893` Chr`6` : `31,407,916`	0.793	0.207	0.000
rs9304270 lBF = `1.42842` Chr`18` : `39,937,509`	0.000	0.207	0.793
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.793	0.207	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.793	0.207	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.792	0.208	0.000
rs8099121 lBF = `2.09268` Chr`18` : `4,980,408`	0.000	0.208	0.792
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.792	0.208	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.792	0.208	0.000
rs17200365 lBF = `17.472` Chr`6` : `31,389,543`	0.792	0.208	0.000
rs61770499 lBF = `6.48173` Chr`1` : `91,311,082`	0.791	0.209	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.791	0.209	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.790	0.210	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.790	0.210	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.790	0.210	0.000
rs72848740 lBF = `19.0516` Chr`6` : `31,410,679`	0.790	0.210	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.790	0.210	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.790	0.210	0.000
rs73396800 lBF = `71.0876` Chr`6` : `32,914,726`	0.000	0.211	0.789
rs17826057 lBF = `0.773087` Chr`12` : `66,633,164`	0.788	0.212	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.788	0.212	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.788	0.212	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.787	0.213	0.000
rs114679905 lBF = `9.02093` Chr`3` : `135,418,841`	0.787	0.213	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.000	0.213	0.787
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.787	0.213	0.000
rs9501398 lBF = `50.904` Chr`6` : `32,202,597`	0.786	0.214	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.786	0.214	0.000
rs1393275 lBF = `5.74847` Chr`11` : `115,655,434`	0.785	0.215	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.785	0.215	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.785	0.215	0.000
rs4332358 lBF = `1.08132` Chr`1` : `115,875,645`	0.784	0.216	0.000
rs2534671 lBF = `106.907` Chr`6` : `31,465,661`	0.784	0.216	0.000
rs17207085 lBF = `16.5272` Chr`6` : `31,503,552`	0.784	0.216	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.784	0.216	0.000
rs7046653 lBF = `0.676225` Chr`9` : `27,490,967`	0.784	0.216	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.784	0.216	0.000
rs8192579 lBF = `55.7891` Chr`6` : `32,163,799`	0.784	0.216	0.000
rs117759274 lBF = `14.7453` Chr`12` : `23,131,855`	0.782	0.218	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.782	0.218	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.782	0.218	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.781	0.219	0.000
rs61943445 lBF = `13.7019` Chr`12` : `118,861,521`	0.781	0.219	0.000
rs28732201 lBF = `63.8841` Chr`6` : `32,350,454`	0.780	0.220	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.780	0.220	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.780	0.220	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.780	0.220	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.780	0.220	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.780	0.220	0.000
rs7597058 lBF = `7.5115` Chr`2` : `106,009,735`	0.780	0.220	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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.9999

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.6917

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4520

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4141

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

1.0000

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

1.0000

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

1.0000

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9998

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.9998

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9971

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9955

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9946

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9938

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9936

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9903

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.9898

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.9892

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9850

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9847

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9830

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9826

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.9789

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9778

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9744

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9691

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9686

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9682

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9640

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9606

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9538

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9482

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9458

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9456

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9369

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.9360

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9355

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9344

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9303

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9166

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9161

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9156

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9146

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9124

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.9117

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9114

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9086

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9049

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9037

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.8997

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8911

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.8865

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8701

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8618

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8378

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.8274

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.8134

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8072

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7582

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.7427

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7330

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7302

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7296

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7273

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7266

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6983

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6941

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6940

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6754

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6691

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6654

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6649

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6615

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6379

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6304

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6163

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6101

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5946

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5933

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5911

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5812

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5539

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5446

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5386

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5130

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4944

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4884

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4796

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4782

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4686

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4494

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.4460

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4428

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4382

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4255

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4125

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4091

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3947

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3936

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3880

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3858

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3804

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.3751

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3653

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3643

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3613

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3527

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3465

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3276

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.3174

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3100

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3018

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2798

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2574

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2553

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.2550

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2273

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2212

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.2129

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2104

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2018

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.1884

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1879

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1840

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1819

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1782

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1765

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1739

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.1718

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1679

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1620

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.1596

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1542

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1478

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1381

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1354

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1318

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1252

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1196

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1192

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1182

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1155

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1085

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0983

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.0962

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0943

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0939

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0928

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0856

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0533

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0526

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0520

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`)