TreeWAS – [T92.0] Sequelae of open wound of upper limb

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
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.896	0.104	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.859	0.141	0.000
rs16894197 lBF = `73.6741` Chr`6` : `28,648,271`	0.841	0.159	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.837	0.163	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.822	0.178	0.000
rs76419373 lBF = `6.94732` Chr`2` : `105,078,508`	0.815	0.185	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.815	0.185	0.000
rs7767008 lBF = `72.2367` Chr`6` : `28,630,793`	0.791	0.209	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.789	0.211	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.778	0.222	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.776	0.224	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.771	0.229	0.000
rs73651380 lBF = `7.08215` Chr`9` : `95,984,199`	0.769	0.231	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.766	0.234	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.765	0.235	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.764	0.236	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.764	0.236	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.763	0.237	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.762	0.238	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.758	0.242	0.000
rs77052778 lBF = `6.40134` Chr`2` : `171,579,290`	0.755	0.245	0.000
rs36103239 lBF = `71.5921` Chr`6` : `28,586,282`	0.754	0.246	0.000
rs73435406 lBF = `5.06374` Chr`18` : `46,440,764`	0.754	0.246	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.752	0.248	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.751	0.249	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.746	0.254	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.746	0.254	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.743	0.257	0.000
rs117564322 lBF = `46.2816` Chr`7` : `150,684,021`	0.737	0.263	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.737	0.263	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.736	0.264	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.731	0.269	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.730	0.270	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.728	0.272	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.727	0.273	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.726	0.274	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.724	0.276	0.000
rs704080 lBF = `11.6648` Chr`12` : `89,749,223`	0.719	0.281	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.718	0.282	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.716	0.284	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.715	0.285	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.715	0.285	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.714	0.286	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.714	0.286	0.000
rs79583112 lBF = `18.1593` Chr`13` : `100,571,075`	0.713	0.287	0.000
rs11044722 lBF = `15.4222` Chr`12` : `19,781,710`	0.712	0.288	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.710	0.290	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.709	0.291	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.705	0.295	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.705	0.295	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.704	0.296	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.703	0.297	0.000
rs72602052 lBF = `12.3687` Chr`7` : `28,500,531`	0.703	0.297	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.701	0.299	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.699	0.301	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.698	0.301	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.697	0.303	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.697	0.303	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.697	0.303	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.696	0.304	0.000
rs7299341 lBF = `5.99167` Chr`12` : `83,224,324`	0.696	0.304	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.696	0.304	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.695	0.305	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.695	0.305	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.695	0.305	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.694	0.306	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.693	0.306	0.000
rs76226443 lBF = `8.8867` Chr`7` : `32,518,614`	0.693	0.307	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.692	0.307	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.692	0.308	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.691	0.308	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.689	0.311	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.689	0.311	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.689	0.311	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.688	0.312	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.687	0.313	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.687	0.313	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.686	0.314	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.686	0.314	0.000
rs61813875 lBF = `3.16834` Chr`1` : `152,536,650`	0.684	0.316	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.684	0.316	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.683	0.316	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.683	0.317	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.683	0.317	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.683	0.317	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.682	0.317	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.682	0.318	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.682	0.318	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.680	0.320	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.679	0.321	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.678	0.321	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.678	0.322	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.677	0.323	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.677	0.323	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.675	0.325	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.675	0.325	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.675	0.325	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.674	0.325	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.674	0.326	0.000
rs9533771 lBF = `9.60568` Chr`13` : `44,677,599`	0.672	0.327	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.672	0.328	0.000
rs77955971 lBF = `21.554` Chr`6` : `5,128,348`	0.671	0.329	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.670	0.330	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.669	0.331	0.000
rs77206094 lBF = `11.5768` Chr`11` : `56,467,057`	0.668	0.332	0.000
rs77184804 lBF = `9.3865` Chr`4` : `171,536,492`	0.668	0.332	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.667	0.333	0.000
rs80131195 lBF = `8.81707` Chr`7` : `28,486,044`	0.667	0.333	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.667	0.333	0.000
rs75222804 lBF = `5.30224` Chr`5` : `112,525,356`	0.666	0.334	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.666	0.334	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.665	0.335	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.664	0.336	0.000
rs17725000 lBF = `8.84899` Chr`20` : `48,717,651`	0.664	0.336	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.662	0.338	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.661	0.339	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.660	0.340	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.659	0.340	0.000
rs113985666 lBF = `5.17579` Chr`2` : `116,597,876`	0.658	0.342	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.657	0.342	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.657	0.342	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.657	0.343	0.000
rs75947923 lBF = `5.12373` Chr`2` : `22,695,916`	0.657	0.343	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.656	0.344	0.000
rs77294396 lBF = `13.9104` Chr`11` : `56,120,903`	0.653	0.347	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.653	0.347	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.653	0.347	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.653	0.347	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.652	0.347	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.652	0.348	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.652	0.348	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.652	0.348	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.652	0.348	0.000
rs112588716 lBF = `10.293` Chr`19` : `48,119,266`	0.650	0.350	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.650	0.350	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.650	0.350	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.649	0.351	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.648	0.352	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.648	0.352	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.647	0.353	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.646	0.354	0.000
rs112288323 lBF = `2.33034` Chr`2` : `26,228,207`	0.645	0.354	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.645	0.355	0.000
rs2030049 lBF = `5.7874` Chr`1` : `101,007,055`	0.644	0.356	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.644	0.356	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.643	0.357	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.643	0.357	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.642	0.358	0.000
rs75904186 lBF = `8.14526` Chr`18` : `38,656,975`	0.642	0.358	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.642	0.358	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.640	0.360	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.640	0.360	0.000
rs113917009 lBF = `10.4537` Chr`4` : `120,291,769`	0.638	0.362	0.000
rs118009375 lBF = `15.4206` Chr`19` : `51,406,426`	0.638	0.362	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.637	0.363	0.000
rs114164869 lBF = `6.47754` Chr`2` : `22,613,679`	0.637	0.363	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.637	0.363	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.637	0.363	0.000
rs74703823 lBF = `12.1497` Chr`3` : `3,162,708`	0.636	0.363	0.000
rs2176075 lBF = `6.99834` Chr`14` : `90,459,569`	0.636	0.363	0.000
rs3769477 lBF = `12.6651` Chr`2` : `201,180,085`	0.636	0.364	0.000
rs17504301 lBF = `5.6678` Chr`5` : `123,705,763`	0.635	0.365	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.635	0.365	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.635	0.365	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.634	0.366	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.634	0.366	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.633	0.367	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.633	0.367	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.632	0.368	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.632	0.368	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.632	0.368	0.000
rs140838333 lBF = `15.8559` Chr`2` : `46,460,880`	0.632	0.368	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.632	0.368	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.631	0.369	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.630	0.370	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.630	0.370	0.000
rs6453218 lBF = `11.8766` Chr`5` : `75,712,103`	0.630	0.370	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.630	0.370	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.629	0.370	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.629	0.371	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.629	0.371	0.000
rs117362991 lBF = `11.6191` Chr`10` : `115,642,716`	0.629	0.371	0.000
rs117843447 lBF = `14.1413` Chr`17` : `20,921,845`	0.629	0.371	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.628	0.372	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.627	0.373	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.625	0.375	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.625	0.375	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.625	0.375	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.625	0.375	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.625	0.375	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.624	0.375	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.624	0.376	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.623	0.377	0.000
rs117891151 lBF = `13.3184` Chr`14` : `31,061,778`	0.623	0.377	0.000
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.623	0.377	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.622	0.378	0.000
rs6059594 lBF = `1.30052` Chr`20` : `32,556,777`	0.622	0.378	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.622	0.378	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.622	0.378	0.000
rs12589674 lBF = `5.86884` Chr`14` : `54,246,353`	0.621	0.379	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.620	0.380	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.620	0.380	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.620	0.380	0.000
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rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.580	0.420	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.580	0.420	0.000
rs76919247 lBF = `8.09768` Chr`17` : `68,333,424`	0.580	0.420	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.580	0.420	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.580	0.420	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.579	0.420	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.579	0.421	0.000
rs117151396 lBF = `15.1715` Chr`20` : `17,934,882`	0.579	0.421	0.000
rs117411842 lBF = `6.36495` Chr`10` : `132,957,319`	0.579	0.421	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.579	0.421	0.000
rs4129843 lBF = `8.18025` Chr`1` : `215,987,222`	0.579	0.421	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.579	0.421	0.000
rs72817538 lBF = `8.10489` Chr`2` : `27,498,844`	0.000	0.421	0.579
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.578	0.422	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.578	0.422	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.578	0.422	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.578	0.422	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.578	0.422	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.578	0.422	0.000
rs12196211 lBF = `21.642` Chr`6` : `31,449,041`	0.578	0.422	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.578	0.422	0.000
rs73029102 lBF = `9.63494` Chr`3` : `12,009,771`	0.577	0.422	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.577	0.423	0.000
rs80132640 lBF = `11.0963` Chr`12` : `49,426,460`	0.577	0.423	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.577	0.423	0.000
rs78538921 lBF = `14.5485` Chr`2` : `133,732,518`	0.577	0.423	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.577	0.423	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.577	0.423	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.576	0.424	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.576	0.424	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.576	0.424	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.576	0.424	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.576	0.424	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.576	0.424	0.000
rs12193701 lBF = `15.4612` Chr`6` : `31,331,617`	0.576	0.424	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.576	0.424	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.576	0.424	0.000
rs6930572 lBF = `17.9712` Chr`6` : `31,428,169`	0.575	0.424	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.575	0.425	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.575	0.425	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.575	0.425	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.575	0.425	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.575	0.425	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.575	0.425	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.575	0.425	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.574	0.425	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.574	0.426	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.574	0.426	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.573	0.426	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.573	0.427	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.573	0.427	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.573	0.427	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.573	0.427	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.572	0.427	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.572	0.428	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.572	0.428	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.572	0.428	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.572	0.428	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.572	0.428	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.572	0.428	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.572	0.428	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.572	0.428	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.571	0.428	0.000
rs76734869 lBF = `7.03241` Chr`19` : `4,723,273`	0.572	0.428	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.571	0.428	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.571	0.429	0.000
rs12997492 lBF = `13.2297` Chr`2` : `151,964,165`	0.571	0.429	0.000
rs111969884 lBF = `19.4433` Chr`6` : `12,904,138`	0.571	0.429	0.000
rs142089946 lBF = `13.9816` Chr`5` : `60,791,593`	0.571	0.429	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.571	0.429	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.571	0.429	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.571	0.429	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.570	0.429	0.000
rs116833987 lBF = `15.8412` Chr`1` : `97,606,979`	0.570	0.430	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.570	0.430	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.570	0.430	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.570	0.430	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.569	0.430	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.569	0.430	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.569	0.431	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.569	0.431	0.000
rs75621054 lBF = `15.8715` Chr`1` : `242,378,718`	0.569	0.431	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.569	0.431	0.000
rs10995485 lBF = `3.06135` Chr`10` : `65,026,858`	0.569	0.431	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.569	0.431	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.569	0.431	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.569	0.431	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.569	0.431	0.000
rs71632123 lBF = `1.27513` Chr`1` : `181,745,701`	0.569	0.431	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.569	0.431	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.569	0.431	0.000
rs12213831 lBF = `20.0798` Chr`6` : `31,380,601`	0.568	0.431	0.000
rs13214487 lBF = `18.9923` Chr`6` : `31,322,706`	0.568	0.431	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.568	0.432	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.568	0.432	0.000
rs115081579 lBF = `14.3442` Chr`3` : `178,513,059`	0.568	0.432	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

0.5500

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2870

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9961

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9867

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9848

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9806

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9767

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9695

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9664

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9584

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9531

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9518

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9511

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9492

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9431

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9431

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9430

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9413

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9402

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9294

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9216

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9193

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9164

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9160

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9112

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9110

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.9077

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9075

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9072

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9043

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9042

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9030

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8974

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8970

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8945

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8919

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8842

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8822

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8816

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8758

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8728

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8710

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8674

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8668

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8666

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.8602

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8588

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8523

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8503

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8496

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8460

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8435

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8388

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8367

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8367

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8365

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8364

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.8347

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8313

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8257

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8223

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8189

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8074

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8069

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8064

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8056

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8051

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8047

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8040

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8040

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8003

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7942

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7941

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7902

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7859

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7858

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7803

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7803

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7768

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7765

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7760

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7747

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7721

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7718

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7694

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7690

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7668

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.7661

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7640

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7588

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7578

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7542

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7535

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7511

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7474

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7399

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.7395

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7382

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7370

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7364

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7361

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7348

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7275

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7259

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7247

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7233

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7207

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7142

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7131

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7130

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7082

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7077

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7074

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7016

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7015

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6977

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6977

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6971

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6967

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6963

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6957

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6952

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6929

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6912

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6899

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6869

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6857

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6841

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6816

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6811

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.6805

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6797

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6797

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6780

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6740

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6729

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6680

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6676

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6672

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6669

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6639

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6636

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6624

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6621

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6616

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6599

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6379

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6339

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6323

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6297

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6290

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6278

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6278

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6206

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6173

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6151

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6150

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6145

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6125

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6099

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6092

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6087

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6080

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6029

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5982

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5969

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5929

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5864

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5864

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5828

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5819

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5734

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5690

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5619

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5615

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5548

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5531

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5484

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5206

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5161

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5025

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4770

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4675

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4639

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4539

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4356

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4289

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4258

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.4022

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3893

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3803

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3402

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3186

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3151

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.2795

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2698

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2455

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2321

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2263

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2055

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1743

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1686

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1621

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1422

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.1245

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.0989

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0782

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0722

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0718

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0627

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.0594

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`)