TreeWAS – [S30.8] Other superficial injuries of abdomen, lower back and pelvis

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
rs9874556 lBF = `2.79079` Chr`3` : `3,356,174`	0.997	0.003	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.933	0.067	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.928	0.072	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.923	0.077	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.923	0.077	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.919	0.081	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.910	0.090	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.910	0.090	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.897	0.103	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.896	0.104	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.887	0.113	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.875	0.125	0.000
rs79686877 lBF = `9.19496` Chr`7` : `6,417,836`	0.865	0.135	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.865	0.135	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.852	0.148	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.847	0.153	0.000
rs11617740 lBF = `1.77547` Chr`13` : `102,680,126`	0.840	0.160	0.000
rs112476950 lBF = `5.55013` Chr`7` : `138,299,824`	0.836	0.164	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.835	0.165	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.829	0.171	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.827	0.173	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.824	0.176	0.000
rs116979850 lBF = `12.7633` Chr`7` : `94,554,975`	0.823	0.177	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.822	0.178	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.821	0.179	0.000
rs113937434 lBF = `20.1272` Chr`17` : `34,313,674`	0.811	0.189	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.802	0.198	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.798	0.202	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.796	0.204	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.792	0.208	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.792	0.208	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.790	0.210	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.790	0.210	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.789	0.211	0.000
rs35038461 lBF = `9.82063` Chr`1` : `1,146,339`	0.787	0.213	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.787	0.213	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.786	0.214	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.783	0.217	0.000
rs75238886 lBF = `22.8661` Chr`17` : `34,313,612`	0.782	0.218	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.781	0.219	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.781	0.219	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.781	0.219	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.779	0.221	0.000
rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.778	0.222	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.777	0.223	0.000
rs6466479 lBF = `3.96216` Chr`7` : `113,741,105`	0.775	0.225	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.775	0.225	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.775	0.225	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.773	0.227	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.771	0.228	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.771	0.229	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.767	0.233	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.767	0.233	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.767	0.233	0.000
rs11218051 lBF = `5.71625` Chr`11` : `120,771,306`	0.767	0.233	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.766	0.234	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.766	0.234	0.000
rs118166287 lBF = `6.75457` Chr`7` : `138,454,432`	0.766	0.234	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.765	0.235	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.758	0.242	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.758	0.242	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.757	0.242	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.757	0.243	0.000
rs11662510 lBF = `6.32011` Chr`18` : `77,276,440`	0.755	0.245	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.245	0.755
rs12526186 lBF = `58.9659` Chr`6` : `30,736,151`	0.754	0.246	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.752	0.248	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.751	0.249	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.750	0.250	0.000
rs117646115 lBF = `8.28317` Chr`10` : `10,918,923`	0.748	0.252	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.747	0.253	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.744	0.256	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.744	0.256	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.744	0.256	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.742	0.258	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.742	0.258	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.741	0.259	0.000
rs34891485 lBF = `9.20547` Chr`17` : `40,263,458`	0.741	0.259	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.741	0.259	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.741	0.259	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.740	0.260	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.740	0.260	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.739	0.261	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.739	0.261	0.000
rs61743233 lBF = `12.9367` Chr`5` : `156,899,925`	0.736	0.263	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.736	0.264	0.000
rs13190943 lBF = `5.39281` Chr`6` : `37,414,355`	0.736	0.264	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.734	0.266	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.730	0.270	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.730	0.270	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.729	0.271	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.728	0.272	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.727	0.273	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.727	0.273	0.000
rs79665456 lBF = `13.4635` Chr`17` : `36,203,084`	0.725	0.275	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.725	0.275	0.000
rs11084753 lBF = `0.62437` Chr`19` : `34,322,137`	0.725	0.275	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.721	0.279	0.000
rs17094474 lBF = `8.18878` Chr`14` : `58,819,463`	0.721	0.279	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.720	0.280	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.720	0.280	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.719	0.281	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.719	0.281	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.719	0.281	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.717	0.283	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.716	0.284	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.714	0.286	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.713	0.287	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.713	0.287	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.711	0.289	0.000
rs116580228 lBF = `10.6549` Chr`2` : `84,366,813`	0.710	0.290	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.710	0.290	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.710	0.290	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.709	0.291	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.709	0.291	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.708	0.291	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.706	0.294	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.706	0.294	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.705	0.295	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.705	0.295	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.705	0.295	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.704	0.296	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.704	0.296	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.704	0.296	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.702	0.298	0.000
rs12770994 lBF = `5.42363` Chr`10` : `60,432,645`	0.701	0.299	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.700	0.300	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.699	0.301	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.698	0.302	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.695	0.305	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.694	0.306	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.694	0.306	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.694	0.306	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.693	0.307	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.693	0.307	0.000
rs117877646 lBF = `7.2207` Chr`7` : `146,538,233`	0.692	0.307	0.000
rs11256193 lBF = `8.07823` Chr`10` : `9,456,889`	0.691	0.309	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.691	0.309	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.691	0.309	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.690	0.310	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.690	0.310	0.000
rs28780111 lBF = `56.9985` Chr`6` : `30,720,311`	0.689	0.311	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.689	0.311	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.688	0.312	0.000
rs17008850 lBF = `5.44557` Chr`4` : `85,328,625`	0.686	0.314	0.000
rs1511453 lBF = `0.95307` Chr`4` : `23,588,462`	0.686	0.314	0.000
rs13212461 lBF = `5.77319` Chr`6` : `37,410,503`	0.686	0.314	0.000
rs60123959 lBF = `5.86843` Chr`2` : `237,477,938`	0.685	0.315	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.684	0.316	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.683	0.317	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.682	0.318	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.682	0.318	0.000
rs61737465 lBF = `7.70302` Chr`7` : `94,540,527`	0.681	0.319	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.681	0.319	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.681	0.319	0.000
rs76622691 lBF = `11.0479` Chr`3` : `138,345,150`	0.680	0.320	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.677	0.323	0.000
rs12348435 lBF = `1.11569` Chr`9` : `28,600,142`	0.676	0.324	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.675	0.325	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.675	0.325	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.673	0.327	0.000
rs34422007 lBF = `9.49411` Chr`17` : `40,248,644`	0.672	0.328	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.672	0.328	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.672	0.328	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.671	0.329	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.670	0.330	0.000
rs786807 lBF = `14.0508` Chr`10` : `48,636,891`	0.670	0.330	0.000
rs17286571 lBF = `9.16223` Chr`5` : `139,387,793`	0.670	0.330	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.669	0.331	0.000
rs17481190 lBF = `58.2135` Chr`6` : `30,743,014`	0.668	0.332	0.000
rs76270203 lBF = `1.90441` Chr`12` : `113,936,996`	0.668	0.332	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.668	0.332	0.000
rs117744271 lBF = `7.2886` Chr`7` : `132,152,409`	0.668	0.332	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.667	0.332	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.664	0.336	0.000
rs61992823 lBF = `12.5724` Chr`14` : `43,247,586`	0.664	0.336	0.000
rs10470209 lBF = `9.26221` Chr`21` : `20,110,007`	0.663	0.337	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.663	0.337	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.662	0.337	0.000
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.662	0.338	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.661	0.339	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.661	0.339	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.660	0.340	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.660	0.340	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.659	0.341	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.659	0.341	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.658	0.342	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.656	0.344	0.000
rs17077331 lBF = `0.644617` Chr`13` : `66,356,341`	0.656	0.344	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.656	0.344	0.000
rs17038828 lBF = `6.28601` Chr`3` : `39,475,342`	0.654	0.346	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.654	0.346	0.000
rs17776284 lBF = `12.0857` Chr`6` : `28,196,454`	0.653	0.347	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.653	0.347	0.000
rs2207132 lBF = `22.7827` Chr`20` : `39,142,516`	0.653	0.347	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.653	0.347	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.652	0.348	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.652	0.348	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.652	0.348	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.651	0.349	0.000
rs12257077 lBF = `9.63273` Chr`10` : `6,071,545`	0.651	0.349	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.651	0.349	0.000
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rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.584	0.415	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.584	0.416	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.584	0.416	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.584	0.416	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.584	0.416	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.584	0.416	0.000
rs9468464 lBF = `22.7573` Chr`6` : `28,984,512`	0.583	0.417	0.000
rs76045649 lBF = `6.14444` Chr`13` : `30,657,971`	0.583	0.417	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.583	0.417	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.583	0.417	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.583	0.417	0.000
rs13220225 lBF = `59.7189` Chr`6` : `30,747,802`	0.583	0.417	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.583	0.417	0.000
rs3094070 lBF = `229.879` Chr`6` : `30,231,829`	0.583	0.417	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.583	0.417	0.000
rs113218636 lBF = `16.5944` Chr`6` : `74,893,286`	0.582	0.417	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.582	0.418	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.582	0.418	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.582	0.418	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.582	0.418	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.582	0.418	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.582	0.418	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.582	0.418	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.582	0.418	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.581	0.418	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.581	0.419	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.581	0.419	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.580	0.420	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.580	0.420	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.580	0.420	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.579	0.421	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.579	0.421	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.578	0.422	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.578	0.422	0.000
rs72796184 lBF = `10.5503` Chr`2` : `36,084,210`	0.577	0.423	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.577	0.423	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.577	0.423	0.000
rs117933286 lBF = `14.503` Chr`9` : `81,306,530`	0.577	0.423	0.000
rs77434118 lBF = `11.4517` Chr`3` : `144,965,710`	0.577	0.423	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.577	0.423	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.576	0.424	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.576	0.424	0.000
rs78265967 lBF = `15.896` Chr`2` : `111,629,557`	0.576	0.424	0.000
rs113602630 lBF = `7.75987` Chr`3` : `121,767,098`	0.576	0.424	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.576	0.424	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.575	0.425	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.575	0.425	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.574	0.426	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.574	0.426	0.000
rs1039725 lBF = `5.14144` Chr`11` : `39,829,640`	0.574	0.426	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.574	0.426	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.573	0.426	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.573	0.427	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.573	0.427	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.573	0.427	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.573	0.427	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.573	0.427	0.000
rs6656088 lBF = `5.87242` Chr`1` : `225,909,815`	0.572	0.427	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.572	0.427	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.572	0.428	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.572	0.428	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.572	0.428	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.572	0.428	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.572	0.428	0.000
rs76150464 lBF = `15.157` Chr`11` : `59,509,165`	0.572	0.428	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.572	0.428	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.572	0.428	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.571	0.429	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.571	0.429	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.571	0.429	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.571	0.429	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.570	0.430	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.570	0.430	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.569	0.431	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.569	0.431	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.569	0.431	0.000
rs117000465 lBF = `9.39806` Chr`19` : `31,056,668`	0.568	0.432	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.568	0.432	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.568	0.432	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.567	0.432	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.567	0.432	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.567	0.433	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.567	0.433	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.567	0.433	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.566	0.434	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.565	0.434	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.565	0.435	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.565	0.435	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.564	0.436	0.000
rs62262721 lBF = `9.29228` Chr`3` : `49,768,927`	0.564	0.436	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.564	0.436	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.563	0.437	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.563	0.437	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.563	0.437	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.563	0.437	0.000
rs112854017 lBF = `12.0702` Chr`3` : `151,621,829`	0.563	0.437	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

0.6707

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3707

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9998

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9986

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9941

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9928

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9927

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9884

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9796

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9650

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9617

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9607

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9476

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9398

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9357

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9252

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9235

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9102

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9096

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9092

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9091

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9065

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9027

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9011

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8953

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8922

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8922

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8890

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8823

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8762

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8710

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8680

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8637

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8509

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8488

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8458

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8447

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8443

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8428

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8426

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8372

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8363

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8345

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8337

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8323

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8276

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8245

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8167

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8141

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.8130

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8098

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8092

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8047

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8005

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7973

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7933

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7889

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7837

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7763

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7708

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7645

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7584

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7569

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.7370

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7300

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7260

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7236

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7234

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7234

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7145

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7136

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7079

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7074

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7046

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7026

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7023

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6924

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6885

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6668

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6645

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6638

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6614

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6590

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6562

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6524

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6461

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6446

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6414

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6397

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6352

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6347

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6298

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6296

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6256

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6181

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6079

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6055

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6024

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5994

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5875

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5829

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5712

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5680

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5660

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5572

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5561

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5420

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5373

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5365

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5305

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5206

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5177

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5113

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5088

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5036

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5004

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4999

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4956

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4895

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4817

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4662

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4637

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4602

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4496

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.4431

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4396

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4362

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4317

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4207

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4099

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4084

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4011

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3904

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3865

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3840

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3741

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3719

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3714

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3629

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3564

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3483

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3415

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3384

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3378

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3377

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3336

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3309

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.3227

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3211

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3177

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3169

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.3119

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2996

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2912

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2756

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2701

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2693

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2594

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2575

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.2545

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2540

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2539

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2396

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2359

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2321

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2319

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2293

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1892

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1756

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1706

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1641

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.1634

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1560

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1548

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1523

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1491

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1476

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1442

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1437

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1291

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1270

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1257

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1159

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1099

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0995

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0932

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.0924

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0896

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0820

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0819

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0724

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0692

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0670

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0573

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`)