TreeWAS – [S16] Injury of muscle and tendon at neck level

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
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.714	0.286	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.710	0.290	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.701	0.299	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.698	0.302	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.697	0.302	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.696	0.304	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.691	0.309	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.688	0.312	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.687	0.313	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.685	0.314	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.684	0.315	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.683	0.317	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.683	0.317	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.682	0.318	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.681	0.319	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.679	0.321	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.678	0.322	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.677	0.323	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.676	0.323	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.676	0.324	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.675	0.325	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.674	0.325	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.674	0.326	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.674	0.326	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.674	0.326	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.674	0.326	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.674	0.326	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.673	0.327	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.672	0.328	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.672	0.328	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.671	0.329	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.671	0.329	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.671	0.329	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.670	0.330	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.669	0.331	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.669	0.331	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.669	0.331	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.669	0.331	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.668	0.331	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.667	0.333	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.667	0.333	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.666	0.334	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.665	0.335	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.665	0.335	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.664	0.336	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.664	0.336	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.664	0.336	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.664	0.336	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.663	0.337	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.662	0.337	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.662	0.338	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.661	0.338	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.661	0.339	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.661	0.339	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.661	0.339	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.660	0.340	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.660	0.340	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.660	0.340	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.659	0.341	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.659	0.341	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.658	0.341	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.658	0.342	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.658	0.342	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.657	0.343	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.657	0.343	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.657	0.343	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.656	0.344	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.656	0.344	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.655	0.345	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.655	0.345	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.654	0.346	0.000
rs17545824 lBF = `6.53432` Chr`5` : `110,877,600`	0.654	0.346	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.654	0.346	0.000
rs72938048 lBF = `8.33195` Chr`6` : `100,389,267`	0.654	0.346	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.653	0.346	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.653	0.347	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.653	0.347	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.652	0.348	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.652	0.348	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.652	0.348	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.652	0.348	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.651	0.349	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.651	0.349	0.000
rs112411280 lBF = `15.0001` Chr`2` : `28,678,625`	0.651	0.349	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.349	0.651
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.651	0.349	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.651	0.349	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.651	0.349	0.000
rs79286341 lBF = `7.56117` Chr`20` : `7,247,806`	0.650	0.349	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.650	0.350	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.650	0.350	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.650	0.350	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.650	0.350	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.649	0.350	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.649	0.351	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.649	0.351	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.649	0.351	0.000
rs17393098 lBF = `26.5255` Chr`14` : `34,025,230`	0.649	0.351	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.648	0.351	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.648	0.351	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.648	0.351	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.648	0.352	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.648	0.352	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.648	0.352	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.648	0.352	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.647	0.353	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.647	0.353	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.647	0.353	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.647	0.353	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.647	0.353	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.647	0.353	0.000
rs17735173 lBF = `12.1822` Chr`10` : `111,439,737`	0.646	0.353	0.000
rs10401969 lBF = `22.1773` Chr`19` : `19,407,718`	0.645	0.355	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.645	0.355	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.645	0.355	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.644	0.355	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.644	0.356	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.644	0.356	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.643	0.356	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.643	0.357	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.642	0.358	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.642	0.358	0.000
rs12790383 lBF = `9.27946` Chr`11` : `75,708,521`	0.642	0.358	0.000
rs34279390 lBF = `6.72756` Chr`4` : `79,527,683`	0.641	0.358	0.000
rs74648291 lBF = `8.7` Chr`5` : `176,165,781`	0.641	0.358	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.641	0.359	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.640	0.359	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.640	0.360	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.640	0.360	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.640	0.360	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.640	0.360	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.640	0.360	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.640	0.360	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.639	0.360	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.639	0.361	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.639	0.361	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.639	0.361	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.639	0.361	0.000
rs17137306 lBF = `8.84223` Chr`7` : `114,461,205`	0.638	0.362	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.638	0.362	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.638	0.362	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.638	0.362	0.000
rs611914 lBF = `9.70608` Chr`3` : `53,512,550`	0.638	0.362	0.000
rs67954219 lBF = `5.97135` Chr`10` : `10,579,021`	0.637	0.363	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.637	0.363	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.636	0.363	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.636	0.363	0.000
rs58542926 lBF = `25.9472` Chr`19` : `19,379,549`	0.636	0.364	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.636	0.364	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.636	0.364	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.635	0.364	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.635	0.365	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.635	0.365	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.635	0.365	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.635	0.365	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.635	0.365	0.000
rs10424702 lBF = `9.34888` Chr`19` : `19,508,013`	0.634	0.365	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.634	0.365	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.634	0.365	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.634	0.366	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.634	0.366	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.634	0.366	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.634	0.366	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.633	0.366	0.000
rs3828380 lBF = `11.1618` Chr`3` : `145,923,751`	0.633	0.367	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.633	0.367	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.633	0.367	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.633	0.367	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.633	0.367	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.633	0.367	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.632	0.368	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.632	0.368	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.632	0.368	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.632	0.368	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.632	0.368	0.000
rs73207492 lBF = `11.564` Chr`13` : `58,334,359`	0.632	0.368	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.632	0.368	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.631	0.368	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.631	0.368	0.000
rs118027503 lBF = `5.17072` Chr`18` : `77,687,518`	0.631	0.369	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.631	0.369	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.631	0.369	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.631	0.369	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.631	0.369	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.631	0.369	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.630	0.370	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.630	0.370	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.630	0.370	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.630	0.370	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.630	0.370	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.629	0.371	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.629	0.371	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.629	0.371	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.629	0.371	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.629	0.371	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.629	0.371	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.629	0.371	0.000
rs35810297 lBF = `11.267` Chr`2` : `9,597,171`	0.629	0.371	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.629	0.371	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.629	0.371	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.628	0.371	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.628	0.372	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.627	0.372	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.627	0.373	0.000
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rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.607	0.393	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.607	0.393	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.607	0.393	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.607	0.393	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.607	0.393	0.000
rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.607	0.393	0.000
rs116740811 lBF = `5.20808` Chr`3` : `76,718,625`	0.606	0.393	0.000
rs4701523 lBF = `1.95629` Chr`5` : `26,139,138`	0.606	0.393	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.606	0.393	0.000
rs10910018 lBF = `1.39832` Chr`1` : `3,651,409`	0.606	0.393	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.606	0.394	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.606	0.394	0.000
rs117784947 lBF = `17.3161` Chr`11` : `47,538,102`	0.606	0.394	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.606	0.394	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.606	0.394	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.606	0.394	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.606	0.394	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.606	0.394	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.606	0.394	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.606	0.394	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.606	0.394	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.606	0.394	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.605	0.394	0.000
rs16910714 lBF = `6.38134` Chr`8` : `140,496,702`	0.605	0.395	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.605	0.395	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.605	0.395	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.605	0.395	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.605	0.395	0.000
rs4449129 lBF = `6.12527` Chr`2` : `106,898,223`	0.605	0.395	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.605	0.395	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.605	0.395	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.604	0.395	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.604	0.395	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.604	0.396	0.000
rs79731608 lBF = `7.83144` Chr`1` : `215,891,981`	0.604	0.396	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.604	0.396	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.604	0.396	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.604	0.396	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.604	0.396	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.604	0.396	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.604	0.396	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.604	0.396	0.000
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.604	0.396	0.000
rs10415849 lBF = `8.12617` Chr`19` : `19,505,087`	0.604	0.396	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.603	0.397	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.603	0.397	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.603	0.397	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.603	0.397	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.603	0.397	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.603	0.397	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.603	0.397	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.603	0.397	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.603	0.397	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.603	0.397	0.000
rs17783658 lBF = `5.27728` Chr`6` : `81,762,310`	0.603	0.397	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.603	0.397	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.603	0.397	0.000
rs117001968 lBF = `10.9969` Chr`20` : `35,486,461`	0.603	0.397	0.000
rs117679538 lBF = `14.2819` Chr`14` : `91,668,581`	0.602	0.397	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.602	0.397	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.602	0.397	0.000
rs7448069 lBF = `2.22992` Chr`5` : `175,244,034`	0.602	0.397	0.000
rs112088213 lBF = `13.0401` Chr`10` : `134,611,681`	0.602	0.397	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.602	0.397	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.602	0.398	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.602	0.398	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.602	0.398	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.602	0.398	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.602	0.398	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.602	0.398	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.602	0.398	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.602	0.398	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.602	0.398	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.601	0.398	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.601	0.399	0.000
rs73868774 lBF = `7.03284` Chr`3` : `143,032,574`	0.601	0.399	0.000
rs9956738 lBF = `1.94999` Chr`18` : `49,940,973`	0.601	0.399	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.601	0.399	0.000
rs115020061 lBF = `13.9152` Chr`3` : `13,548,716`	0.601	0.399	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.601	0.399	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.601	0.399	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.601	0.399	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.601	0.399	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.601	0.399	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.601	0.399	0.000
rs56032526 lBF = `8.64126` Chr`1` : `216,011,361`	0.601	0.399	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.601	0.399	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.601	0.399	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.601	0.399	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.601	0.399	0.000
rs117018013 lBF = `15.0209` Chr`7` : `45,285,823`	0.601	0.399	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.600	0.399	0.000
rs77268103 lBF = `18.4795` Chr`3` : `111,483,042`	0.600	0.399	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.600	0.399	0.000
rs72677598 lBF = `8.49063` Chr`14` : `23,078,904`	0.600	0.399	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

0.6289

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4863

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7169

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7169

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7169

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7169

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.7169

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7169

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7169

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7169

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7169

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7169

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7169

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7169

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7169

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7169

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.7168

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7168

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7168

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7168

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7167

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.7167

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7167

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7166

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7166

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7166

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7165

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7165

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7164

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7164

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7164

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7163

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.7163

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7162

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7161

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7160

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.7159

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7158

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7157

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7156

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7153

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7152

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7152

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7151

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7151

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.7150

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7149

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7147

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7147

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7143

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7142

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7139

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7138

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7138

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7137

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7131

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7124

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7122

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.7108

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7105

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7104

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7102

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7102

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.7095

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7091

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7090

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7089

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7083

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.7081

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.7081

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7072

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7071

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7060

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.7056

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7053

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7053

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7052

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7046

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7033

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7025

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7022

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7018

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7014

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7007

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7006

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7005

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6999

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6995

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6994

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6993

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.6992

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6987

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6982

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6976

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6974

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6938

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6931

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6920

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6910

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6907

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6903

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6897

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6887

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6886

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6885

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6877

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6870

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6865

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6862

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6860

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6846

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6832

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6828

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6820

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6811

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6795

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6775

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6772

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6769

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6767

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6766

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6749

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6745

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6743

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6741

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6733

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6730

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.6724

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6700

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6696

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6683

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6671

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6665

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6653

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6645

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6614

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6612

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6604

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6602

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.6589

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.6576

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6569

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6566

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6560

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6554

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6552

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6545

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6543

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6535

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6527

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6517

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6500

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6495

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6490

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6489

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6466

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6445

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6443

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6392

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6363

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6341

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6318

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6315

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.6296

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6223

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6219

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6206

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6195

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6192

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6115

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6072

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6072

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6063

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6046

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5950

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5910

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5832

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5804

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5782

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5776

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5742

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5720

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5663

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5631

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5626

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5617

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5509

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5492

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5489

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5473

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5450

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5418

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5416

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5416

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5388

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5379

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5346

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5278

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5207

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5184

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5140

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5140

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4935

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4511

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.4219

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3945

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.2426

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2335

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.2187

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.1115

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1008

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0914

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0594

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0532

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0508

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`)