TreeWAS – [S22.30] Fracture of rib (closed)

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
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.947	0.053	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.917	0.083	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.910	0.090	0.000
rs12356580 lBF = `5.41793` Chr`10` : `102,849,455`	0.888	0.112	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.879	0.121	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.874	0.126	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.870	0.130	0.000
rs72696787 lBF = `5.03372` Chr`14` : `80,173,873`	0.869	0.131	0.000
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.867	0.133	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.858	0.142	0.000
rs13320408 lBF = `12.2803` Chr`3` : `95,441,862`	0.855	0.145	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.849	0.151	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.844	0.156	0.000
rs72718577 lBF = `10.2191` Chr`14` : `62,522,221`	0.839	0.161	0.000
rs17232348 lBF = `13.5059` Chr`13` : `38,925,192`	0.838	0.162	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.836	0.164	0.000
rs72760450 lBF = `13.4284` Chr`5` : `52,412,830`	0.821	0.179	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.815	0.185	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.814	0.186	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.804	0.196	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.798	0.202	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.798	0.202	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.796	0.204	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.795	0.204	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.794	0.206	0.000
rs2815308 lBF = `5.93002` Chr`1` : `77,728,969`	0.790	0.210	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.781	0.219	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.780	0.220	0.000
rs12522290 lBF = `2.30567` Chr`5` : `152,797,656`	0.779	0.221	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.778	0.222	0.000
rs79944777 lBF = `10.9261` Chr`12` : `73,011,538`	0.765	0.235	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.764	0.236	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.764	0.236	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.756	0.244	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.754	0.246	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.753	0.247	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.752	0.248	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.747	0.253	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.746	0.254	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.744	0.256	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.743	0.257	0.000
rs12304534 lBF = `8.83589` Chr`12` : `89,683,643`	0.738	0.262	0.000
rs9267663 lBF = `28.9406` Chr`6` : `31,867,253`	0.732	0.268	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.731	0.269	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.728	0.272	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.728	0.272	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.727	0.273	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.724	0.276	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.720	0.280	0.000
rs12051658 lBF = `12.3416` Chr`17` : `34,315,633`	0.719	0.281	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.719	0.281	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.716	0.284	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.714	0.286	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.713	0.287	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.713	0.287	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.709	0.290	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.709	0.291	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.708	0.292	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.707	0.293	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.706	0.294	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.705	0.295	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.704	0.296	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.702	0.298	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.699	0.301	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.698	0.302	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.696	0.304	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.696	0.304	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.695	0.305	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.694	0.306	0.000
rs4854307 lBF = `2.18079` Chr`2` : `443,281`	0.692	0.308	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.691	0.309	0.000
rs9267665 lBF = `30.496` Chr`6` : `31,870,856`	0.686	0.314	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.683	0.317	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.683	0.317	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.683	0.317	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.680	0.320	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.677	0.323	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.677	0.323	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.677	0.323	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.677	0.323	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.676	0.324	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.676	0.324	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.674	0.326	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.674	0.326	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.673	0.327	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.673	0.327	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.669	0.331	0.000
rs117822702 lBF = `13.8577` Chr`14` : `60,403,097`	0.667	0.333	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.666	0.334	0.000
rs79300279 lBF = `6.41012` Chr`9` : `6,133,663`	0.665	0.335	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.663	0.337	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.662	0.338	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.662	0.338	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.660	0.340	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.658	0.341	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.657	0.343	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.657	0.343	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.655	0.345	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.654	0.346	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.654	0.346	0.000
rs111451951 lBF = `15.0174` Chr`11` : `99,252,963`	0.653	0.347	0.000
rs4809401 lBF = `2.56379` Chr`20` : `62,737,568`	0.653	0.347	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.652	0.348	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.652	0.348	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.651	0.349	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.650	0.350	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.649	0.351	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.648	0.352	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.647	0.353	0.000
rs78889204 lBF = `11.4029` Chr`3` : `36,863,059`	0.647	0.353	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.644	0.356	0.000
rs17095029 lBF = `13.6715` Chr`14` : `72,140,969`	0.644	0.356	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.644	0.356	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.643	0.357	0.000
rs55706246 lBF = `2.16084` Chr`21` : `35,595,637`	0.641	0.358	0.000
rs17032011 lBF = `40.5088` Chr`1` : `114,475,350`	0.640	0.360	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.637	0.362	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.637	0.363	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.636	0.364	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.635	0.365	0.000
rs71562646 lBF = `9.54905` Chr`7` : `104,827,587`	0.635	0.365	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.633	0.367	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.632	0.368	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.629	0.371	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.628	0.372	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.627	0.373	0.000
rs117309988 lBF = `8.85725` Chr`11` : `16,884,769`	0.626	0.374	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.625	0.375	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.625	0.375	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.625	0.375	0.000
rs1178422 lBF = `6.83318` Chr`17` : `5,863,924`	0.624	0.376	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.621	0.379	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.618	0.382	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.617	0.383	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.616	0.384	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.615	0.385	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.614	0.386	0.000
rs2268361 lBF = `2.13303` Chr`2` : `49,201,612`	0.613	0.387	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.613	0.387	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.612	0.388	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.612	0.388	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.610	0.390	0.000
rs112225386 lBF = `14.6649` Chr`2` : `99,563,294`	0.609	0.391	0.000
rs3217863 lBF = `9.55969` Chr`12` : `4,399,496`	0.607	0.393	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.604	0.396	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.604	0.396	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.604	0.396	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.604	0.396	0.000
rs62086354 lBF = `9.78308` Chr`17` : `73,039,818`	0.604	0.396	0.000
rs2804609 lBF = `22.6812` Chr`10` : `113,847,037`	0.603	0.396	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.602	0.398	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.602	0.398	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.602	0.398	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.599	0.401	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.596	0.404	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.596	0.404	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.595	0.405	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.594	0.406	0.000
rs62358228 lBF = `7.28571` Chr`5` : `40,295,128`	0.591	0.409	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.590	0.410	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.590	0.410	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.589	0.411	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.588	0.411	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.588	0.412	0.000
rs114889417 lBF = `12.566` Chr`6` : `33,761,049`	0.586	0.414	0.000
rs34172193 lBF = `14.3588` Chr`6` : `112,451,601`	0.585	0.415	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.584	0.416	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.584	0.416	0.000
rs891524 lBF = `11.0631` Chr`2` : `131,603,226`	0.584	0.416	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.584	0.416	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.581	0.418	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.581	0.419	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.581	0.419	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.579	0.421	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.579	0.421	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.579	0.421	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.578	0.422	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.578	0.422	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.578	0.422	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.578	0.422	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.577	0.423	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.577	0.423	0.000
rs111504720 lBF = `20.4846` Chr`18` : `44,156,753`	0.577	0.423	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.574	0.426	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.572	0.428	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.572	0.428	0.000
rs72780755 lBF = `12.1611` Chr`2` : `19,179,852`	0.570	0.429	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.570	0.430	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.570	0.430	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.570	0.430	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.569	0.431	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.568	0.432	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.568	0.432	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.568	0.432	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.568	0.432	0.000
rs112330669 lBF = `9.08939` Chr`18` : `53,568,670`	0.567	0.433	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.567	0.433	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.567	0.433	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.567	0.433	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.566	0.434	0.000
rs74968339 lBF = `14.8939` Chr`18` : `52,753,199`	0.566	0.434	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.566	0.434	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.566	0.434	0.000
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rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.490	0.510	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.490	0.510	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.490	0.510	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.489	0.511	0.000
rs77291344 lBF = `14.4938` Chr`5` : `10,584,278`	0.489	0.511	0.000
rs11580861 lBF = `2.70782` Chr`1` : `194,995,131`	0.488	0.512	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.488	0.512	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.488	0.512	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.512	0.488
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.488	0.512	0.000
rs55968350 lBF = `15.4456` Chr`3` : `126,904,733`	0.488	0.512	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.488	0.512	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.487	0.513	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.487	0.513	0.000
rs4709845 lBF = `0.446704` Chr`6` : `164,900,598`	0.487	0.513	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.487	0.513	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.486	0.514	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.486	0.514	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.486	0.514	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.485	0.515	0.000
rs113901367 lBF = `17.9835` Chr`6` : `31,382,015`	0.484	0.515	0.000
rs41264825 lBF = `16.4549` Chr`1` : `159,810,939`	0.484	0.516	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.483	0.517	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.483	0.517	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.483	0.517	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.483	0.517	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.482	0.518	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.481	0.519	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.480	0.520	0.000
rs116953792 lBF = `0.584666` Chr`10` : `95,463,026`	0.479	0.521	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.479	0.521	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.479	0.521	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.479	0.521	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.478	0.522	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.478	0.522	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.478	0.522	0.000
rs115605691 lBF = `14.1479` Chr`5` : `119,299,183`	0.478	0.522	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.477	0.522	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.476	0.524	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.476	0.524	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.475	0.525	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.475	0.525	0.000
rs7407664 lBF = `3.38586` Chr`18` : `9,031,719`	0.475	0.525	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.475	0.525	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.475	0.525	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.474	0.526	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.474	0.526	0.000
rs76602912 lBF = `13.8371` Chr`20` : `57,459,868`	0.474	0.526	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.473	0.526	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.472	0.527	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.472	0.528	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.472	0.528	0.000
rs116911364 lBF = `17.5103` Chr`14` : `93,276,446`	0.471	0.528	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.471	0.528	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.471	0.529	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.471	0.529	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.470	0.530	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.470	0.530	0.000
rs12046289 lBF = `24.5034` Chr`1` : `114,451,386`	0.470	0.530	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.470	0.530	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.470	0.530	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.470	0.530	0.000
rs149546760 lBF = `2.65423` Chr`19` : `56,091,332`	0.469	0.531	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.469	0.531	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.469	0.531	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.468	0.532	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.468	0.532	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.468	0.532	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.468	0.532	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.467	0.533	0.000
rs61734876 lBF = `12.131` Chr`14` : `20,874,411`	0.467	0.533	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.467	0.533	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.467	0.533	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.467	0.533	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.466	0.534	0.000
rs7985891 lBF = `5.716` Chr`13` : `93,879,031`	0.466	0.534	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.466	0.534	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.466	0.534	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.466	0.534	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.466	0.534	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.465	0.535	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.465	0.535	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.465	0.535	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.464	0.536	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.464	0.536	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.464	0.536	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.464	0.536	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.464	0.536	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.463	0.537	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.463	0.537	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.463	0.537	0.000
rs113424809 lBF = `14.5422` Chr`6` : `31,391,262`	0.463	0.537	0.000
rs116201121 lBF = `1.88745` Chr`6` : `9,993,737`	0.462	0.537	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.462	0.538	0.000
rs35661976 lBF = `15.2186` Chr`5` : `1,243,699`	0.462	0.538	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

0.5186

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2141

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0797

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9944

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9775

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.9765

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9609

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9584

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9524

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9501

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9287

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9256

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9209

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8875

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8817

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8775

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8574

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8516

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.8510

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8381

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8179

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8013

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7843

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7830

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7667

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7606

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7552

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7492

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7476

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7248

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7032

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6481

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6337

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6235

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6224

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6208

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6199

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5937

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5677

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5655

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5647

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5607

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5322

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5224

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5170

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5057

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5044

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4990

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4932

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4882

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4749

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4667

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4662

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4620

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4604

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4524

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4509

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4378

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4331

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4274

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4243

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4121

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3875

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3866

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3796

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3781

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3719

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3613

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3577

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3566

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3509

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3502

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3422

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.3388

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3327

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3147

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3110

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3036

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3012

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2990

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2868

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2830

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2674

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2665

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2592

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2440

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.2438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2366

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2339

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2336

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2306

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2297

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2293

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2284

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2236

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2158

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2086

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1922

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1908

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1784

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1769

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1753

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1662

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1661

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1596

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1570

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1533

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1525

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1517

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1509

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1504

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1479

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1453

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1438

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1392

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1381

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.1288

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1238

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1216

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.1214

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.1205

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1195

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1178

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1173

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1074

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.1036

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1016

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1006

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0963

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0910

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.0877

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0863

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0860

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0860

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0829

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0769

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0710

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0702

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0690

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0658

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0637

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0603

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0597

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0596

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.0580

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0556

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0548

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0547

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0545

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0530

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`)