TreeWAS – [S10.8] Superficial injury of other parts of neck

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`	0.630	0.370	0.000
rs2791545 lBF = `12.1553` Chr`1` : `219,662,035`	0.626	0.374	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.622	0.377	0.000
rs35901992 lBF = `7.26267` Chr`20` : `59,040,427`	0.601	0.399	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.588	0.412	0.000
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.578	0.422	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.577	0.422	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.576	0.423	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.572	0.427	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.559	0.441	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.558	0.442	0.000
rs62262521 lBF = `5.68817` Chr`3` : `49,173,197`	0.557	0.442	0.000
rs115818338 lBF = `12.7588` Chr`5` : `151,963,928`	0.554	0.446	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.554	0.446	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.549	0.451	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.547	0.453	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.543	0.457	0.000
rs11742133 lBF = `8.36622` Chr`5` : `155,268,373`	0.537	0.463	0.000
rs111825271 lBF = `10.5466` Chr`12` : `66,344,706`	0.536	0.464	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.535	0.464	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.535	0.465	0.000
rs6827815 lBF = `8.21735` Chr`4` : `999,445`	0.533	0.466	0.000
rs76925404 lBF = `5.75099` Chr`1` : `224,997,365`	0.533	0.467	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.532	0.468	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.531	0.468	0.000
rs807195 lBF = `6.49504` Chr`3` : `53,616,011`	0.531	0.468	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.531	0.469	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.530	0.469	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.530	0.469	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.529	0.471	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.528	0.472	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.527	0.473	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.527	0.473	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.526	0.473	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.525	0.475	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.525	0.475	0.000
rs172330 lBF = `26.9607` Chr`6` : `28,786,884`	0.524	0.475	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.524	0.475	0.000
rs12612420 lBF = `8.25246` Chr`2` : `201,158,122`	0.524	0.475	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.524	0.476	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.524	0.476	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.524	0.476	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.524	0.476	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.523	0.477	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.522	0.478	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.522	0.478	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.522	0.478	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.520	0.480	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.520	0.480	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.520	0.480	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.519	0.481	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.519	0.481	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.518	0.482	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.517	0.483	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.517	0.483	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.517	0.483	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.517	0.483	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.515	0.484	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.515	0.484	0.000
rs3755955 lBF = `6.41512` Chr`4` : `994,414`	0.515	0.485	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.514	0.485	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.514	0.486	0.000
rs79481790 lBF = `5.06567` Chr`9` : `73,702,520`	0.514	0.486	0.000
rs16861232 lBF = `10.0701` Chr`3` : `148,682,436`	0.514	0.486	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.513	0.487	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.512	0.488	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.512	0.488	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.512	0.488	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.511	0.489	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.489	0.511
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.511	0.489	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.510	0.489	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.510	0.489	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.510	0.490	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.509	0.490	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.509	0.491	0.000
rs17280797 lBF = `24.1087` Chr`6` : `28,697,625`	0.509	0.491	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.509	0.491	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.508	0.491	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.508	0.491	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.508	0.491	0.000
rs10773087 lBF = `5.56414` Chr`12` : `124,878,404`	0.508	0.492	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.508	0.492	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.508	0.492	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.508	0.492	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.507	0.493	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.506	0.494	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.505	0.495	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.505	0.495	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.505	0.495	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.505	0.495	0.000
rs13214831 lBF = `58.4928` Chr`6` : `30,731,505`	0.504	0.496	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.503	0.497	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.503	0.497	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.503	0.497	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.503	0.497	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.502	0.497	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.502	0.498	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.502	0.498	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.502	0.498	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.501	0.499	0.000
rs10070219 lBF = `0.959929` Chr`5` : `116,703,030`	0.501	0.499	0.000
rs12554020 lBF = `7.49373` Chr`9` : `96,270,237`	0.501	0.499	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.500	0.500	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.500	0.500	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.500	0.500	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.500	0.500	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.499	0.500	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.498	0.501	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.498	0.502	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.498	0.502	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.498	0.502	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.498	0.502	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.498	0.502	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.497	0.503	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.497	0.503	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.497	0.503	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.497	0.503	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.495	0.505	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.494	0.506	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.494	0.506	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.493	0.507	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.493	0.507	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.493	0.507	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.493	0.507	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.492	0.508	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.492	0.508	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.491	0.508	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.491	0.509	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.491	0.509	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.491	0.509	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.490	0.510	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.490	0.510	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.490	0.510	0.000
rs7853605 lBF = `7.60017` Chr`9` : `96,213,529`	0.490	0.510	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.490	0.510	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.490	0.510	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.490	0.510	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.489	0.510	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.489	0.511	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.488	0.511	0.000
rs425105 lBF = `1.19079` Chr`19` : `47,208,481`	0.488	0.512	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.488	0.512	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.487	0.513	0.000
rs28780100 lBF = `58.2699` Chr`6` : `30,373,885`	0.487	0.513	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.487	0.513	0.000
rs400197 lBF = `12.4692` Chr`2` : `142,381,682`	0.487	0.513	0.000
rs72770110 lBF = `5.57167` Chr`2` : `4,656,873`	0.486	0.514	0.000
rs78676969 lBF = `7.12915` Chr`22` : `50,319,170`	0.486	0.514	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.486	0.514	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.486	0.514	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.486	0.514	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.485	0.514	0.000
rs9468474 lBF = `20.5637` Chr`6` : `29,013,133`	0.485	0.515	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.485	0.515	0.000
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.485	0.515	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.485	0.515	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.484	0.515	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.484	0.516	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.484	0.516	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.484	0.516	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.483	0.516	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.483	0.517	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.483	0.517	0.000
rs12046289 lBF = `24.5034` Chr`1` : `114,451,386`	0.483	0.517	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.483	0.517	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.483	0.517	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.482	0.518	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.482	0.518	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.482	0.518	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.482	0.518	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.481	0.518	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.481	0.518	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.481	0.519	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.481	0.519	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.481	0.519	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.481	0.519	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.480	0.519	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.480	0.519	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.480	0.520	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.479	0.520	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.479	0.520	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.479	0.520	0.000
rs3869075 lBF = `57.0279` Chr`6` : `30,727,282`	0.479	0.521	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.479	0.521	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.479	0.521	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.479	0.521	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.479	0.521	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.479	0.521	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.478	0.522	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.478	0.522	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.477	0.523	0.000
rs79346880 lBF = `6.46358` Chr`4` : `28,619,720`	0.477	0.523	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.477	0.523	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.477	0.523	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.477	0.523	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.476	0.523	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.476	0.524	0.000
rs1165376 lBF = `6.49782` Chr`6` : `117,009,449`	0.476	0.524	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.476	0.524	0.000
rs12660883 lBF = `58.8029` Chr`6` : `30,764,420`	0.476	0.524	0.000
rs62095487 lBF = `8.49554` Chr`18` : `10,588,095`	0.476	0.524	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.476	0.524	0.000
rs17450512 lBF = `11.1355` Chr`5` : `118,676,043`	0.475	0.524	0.000
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rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.454	0.546	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.454	0.546	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.454	0.546	0.000
rs12333226 lBF = `28.6479` Chr`6` : `29,009,943`	0.454	0.546	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.454	0.546	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.454	0.546	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.454	0.546	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.454	0.546	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.454	0.546	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.453	0.546	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.453	0.547	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.453	0.547	0.000
rs9371942 lBF = `2.03907` Chr`6` : `156,234,522`	0.453	0.547	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.453	0.547	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.453	0.547	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.453	0.547	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.453	0.547	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.453	0.547	0.000
rs7772682 lBF = `14.8363` Chr`6` : `28,695,668`	0.453	0.547	0.000
rs114820425 lBF = `14.0648` Chr`6` : `31,524,511`	0.453	0.547	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.452	0.547	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.452	0.547	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.452	0.547	0.000
rs74732462 lBF = `7.95748` Chr`9` : `133,436,054`	0.452	0.547	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.452	0.547	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.452	0.547	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.452	0.547	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.452	0.548	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.452	0.548	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.452	0.548	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.452	0.548	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.452	0.548	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.452	0.548	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.452	0.548	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.452	0.548	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.451	0.548	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.451	0.549	0.000
rs73918339 lBF = `2.41386` Chr`20` : `61,205,412`	0.451	0.549	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.451	0.549	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.451	0.549	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.451	0.549	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.451	0.549	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.451	0.549	0.000
rs77295289 lBF = `8.10192` Chr`7` : `3,822,049`	0.451	0.549	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.451	0.549	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.451	0.549	0.000
rs76595471 lBF = `13.0273` Chr`12` : `80,228,443`	0.451	0.549	0.000
rs12192967 lBF = `12.3006` Chr`6` : `62,885,492`	0.450	0.549	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.450	0.549	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.450	0.549	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.450	0.550	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.450	0.550	0.000
rs4645543 lBF = `3.51242` Chr`8` : `140,496,242`	0.450	0.550	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.450	0.550	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.450	0.550	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.450	0.550	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.450	0.550	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.450	0.550	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.450	0.550	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.449	0.550	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.449	0.550	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.449	0.550	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.449	0.550	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.449	0.550	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.449	0.550	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.449	0.550	0.000
rs79294293 lBF = `13.492` Chr`10` : `111,250,926`	0.449	0.551	0.000
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.449	0.551	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.449	0.551	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.449	0.551	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.449	0.551	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.449	0.551	0.000
rs9373893 lBF = `6.86475` Chr`6` : `107,151,275`	0.449	0.551	0.000
rs72874026 lBF = `19.9502` Chr`18` : `6,075,197`	0.448	0.551	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.448	0.552	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.448	0.552	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.448	0.552	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.448	0.552	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.448	0.552	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.448	0.552	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.448	0.552	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.448	0.552	0.000
rs6973517 lBF = `6.61808` Chr`7` : `122,507,282`	0.448	0.552	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.448	0.552	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.448	0.552	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.448	0.552	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.448	0.552	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.447	0.552	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.447	0.552	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.447	0.552	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.447	0.552	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.447	0.552	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.447	0.553	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.447	0.553	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

0.4934

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3487

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.8001

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7516

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7109

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7036

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6969

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6890

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6886

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6859

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6810

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6802

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6802

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6801

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6761

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6729

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6697

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.6673

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6668

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6620

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.6559

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6543

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6541

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6526

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6522

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6515

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6490

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6481

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6448

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6431

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.6408

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6407

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6368

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6357

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6334

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6286

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6277

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6252

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6241

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.6227

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6217

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6209

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6205

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6159

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6159

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6135

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6135

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6130

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6127

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6116

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6083

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6082

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6059

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6057

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6023

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6022

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5979

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5976

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5974

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5914

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5907

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.5900

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5881

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5879

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5877

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5872

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5842

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5795

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5775

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5764

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5751

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5686

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.5648

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5628

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5593

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5588

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5558

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5510

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5491

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5488

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5484

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5483

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5449

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5443

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5437

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5418

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.5402

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5389

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5382

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5377

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5348

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5347

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5344

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5332

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5327

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5321

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5300

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5297

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.5294

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5289

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5283

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5275

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5269

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5268

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5263

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5252

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5230

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5226

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5223

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5223

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5198

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5191

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.5151

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5140

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5139

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5123

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5118

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5118

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5115

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5111

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5097

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5094

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5094

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5086

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.5073

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5067

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5065

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5041

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5035

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5021

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5020

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5014

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4968

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4938

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4937

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4931

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4931

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4927

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4920

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4918

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4911

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4862

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4839

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4835

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4803

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4794

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4791

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4791

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4784

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.4775

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4759

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4743

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4741

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4710

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4707

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4668

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4658

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4657

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4657

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4653

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4650

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4619

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4570

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4539

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4533

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4513

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.4463

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4449

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4442

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4406

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4385

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4354

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4354

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4339

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4335

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4322

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4285

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4282

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.4270

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4266

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4237

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4237

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4182

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4117

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4061

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4059

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4037

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3961

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3938

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3908

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3885

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3884

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3884

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3863

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3857

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3847

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3834

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3785

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3745

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3734

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3717

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3686

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3686

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.3646

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3561

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3412

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.3409

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3164

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3014

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2800

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.2730

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2627

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1910

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1698

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1302

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0724

Cluster X0002

log Bayes Factor = 522.044

contains 22 variants

0.0714

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0685

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0685

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0659

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`)