TreeWAS – [T50] Poisoning by diuretics and other and unspecified drugs, medicaments and biological substances

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
rs2599668 lBF = `7.50902` Chr`8` : `40,522,205`	0.933	0.067	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.908	0.092	0.000
rs2981205 lBF = `1.43592` Chr`8` : `107,844,447`	0.880	0.120	0.000
rs2930491 lBF = `1.29978` Chr`8` : `107,842,294`	0.862	0.137	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.842	0.158	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.841	0.159	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.839	0.161	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.834	0.166	0.000
rs17797221 lBF = `24.1427` Chr`8` : `97,995,627`	0.826	0.174	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.825	0.175	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.820	0.180	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.816	0.184	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.805	0.195	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.805	0.195	0.000
rs117127725 lBF = `5.60389` Chr`8` : `125,737,252`	0.805	0.195	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.804	0.196	0.000
rs7830341 lBF = `16.3042` Chr`8` : `128,109,930`	0.804	0.196	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.803	0.197	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.803	0.197	0.000
rs6983561 lBF = `16.9301` Chr`8` : `128,106,880`	0.802	0.198	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.802	0.198	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.795	0.205	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.794	0.206	0.000
rs17744945 lBF = `5.96993` Chr`8` : `118,028,794`	0.788	0.212	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.784	0.216	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.783	0.217	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.776	0.224	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.774	0.226	0.000
rs6987665 lBF = `17.3248` Chr`8` : `67,655,175`	0.771	0.229	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.762	0.237	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.758	0.242	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.758	0.242	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.756	0.244	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.754	0.246	0.000
rs28359524 lBF = `12.4863` Chr`8` : `18,076,854`	0.752	0.248	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.751	0.249	0.000
rs117577998 lBF = `13.0097` Chr`8` : `143,505,653`	0.750	0.250	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.750	0.250	0.000
rs77541621 lBF = `26.0542` Chr`8` : `128,077,146`	0.747	0.253	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.745	0.255	0.000
rs74617895 lBF = `13.7107` Chr`8` : `3,646,688`	0.744	0.256	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.744	0.256	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.742	0.258	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.738	0.262	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.733	0.267	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.731	0.269	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.725	0.275	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.721	0.279	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.719	0.281	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.715	0.285	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.714	0.286	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.713	0.287	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.710	0.289	0.000
rs117194321 lBF = `19.8711` Chr`8` : `22,491,317`	0.707	0.293	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.706	0.293	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.699	0.301	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.698	0.302	0.000
rs10093547 lBF = `12.0083` Chr`8` : `77,474,545`	0.694	0.306	0.000
rs7815944 lBF = `3.84103` Chr`8` : `129,427,518`	0.693	0.307	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.688	0.312	0.000
rs80058714 lBF = `10.9735` Chr`8` : `131,408,366`	0.687	0.313	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.687	0.313	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.686	0.314	0.000
rs13248406 lBF = `11.0107` Chr`8` : `62,674,301`	0.685	0.315	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.682	0.318	0.000
rs34665903 lBF = `7.545` Chr`8` : `62,699,372`	0.682	0.318	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.676	0.324	0.000
rs7827317 lBF = `6.24435` Chr`8` : `140,985,389`	0.675	0.325	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.672	0.328	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.668	0.332	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.668	0.332	0.000
rs117500008 lBF = `15.3496` Chr`8` : `101,671,045`	0.668	0.332	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.667	0.333	0.000
rs62511613 lBF = `11.9042` Chr`8` : `34,178,686`	0.665	0.335	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.663	0.337	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.655	0.345	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.654	0.345	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.651	0.349	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.651	0.349	0.000
rs75323949 lBF = `6.24792` Chr`8` : `69,545,445`	0.650	0.350	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.648	0.352	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.647	0.353	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.639	0.360	0.000
rs13248610 lBF = `10.5334` Chr`8` : `77,460,493`	0.639	0.361	0.000
rs80054318 lBF = `14.188` Chr`8` : `50,129,604`	0.636	0.363	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.633	0.367	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.631	0.369	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.630	0.370	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.628	0.372	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.623	0.377	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.621	0.379	0.000
rs118124984 lBF = `22.9554` Chr`8` : `106,184,779`	0.621	0.379	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.617	0.383	0.000
rs6984045 lBF = `7.25756` Chr`8` : `131,092,413`	0.614	0.386	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.612	0.387	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.608	0.392	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.607	0.393	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.600	0.400	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.594	0.406	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.594	0.406	0.000
rs77237430 lBF = `10.8581` Chr`8` : `117,500,622`	0.594	0.406	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.593	0.407	0.000
rs28727938 lBF = `11.5371` Chr`8` : `77,478,539`	0.593	0.407	0.000
rs7829065 lBF = `8.29515` Chr`8` : `9,396,649`	0.584	0.416	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.583	0.417	0.000
rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.581	0.419	0.000
rs2570159 lBF = `5.73932` Chr`8` : `75,821,686`	0.580	0.420	0.000
rs117405208 lBF = `11.2682` Chr`8` : `134,967,408`	0.576	0.424	0.000
rs117873316 lBF = `14.6834` Chr`8` : `135,652,254`	0.575	0.424	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.575	0.425	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.572	0.428	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.572	0.428	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.569	0.431	0.000
rs71519872 lBF = `7.54418` Chr`8` : `2,302,138`	0.567	0.433	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.566	0.434	0.000
rs75038381 lBF = `11.7333` Chr`8` : `102,017,153`	0.565	0.435	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.562	0.438	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.561	0.439	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.561	0.439	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.559	0.441	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.554	0.446	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.554	0.446	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.549	0.451	0.000
rs62501302 lBF = `17.5576` Chr`8` : `50,545,426`	0.548	0.452	0.000
rs10216564 lBF = `11.5477` Chr`8` : `77,475,130`	0.547	0.453	0.000
rs7833294 lBF = `1.28762` Chr`8` : `58,008,281`	0.541	0.458	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.537	0.463	0.000
rs188420713 lBF = `2.98848` Chr`8` : `37,134,189`	0.535	0.465	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.531	0.469	0.000
rs13277394 lBF = `8.77619` Chr`8` : `18,266,219`	0.530	0.470	0.000
rs73210044 lBF = `15.2486` Chr`8` : `13,392,360`	0.529	0.471	0.000
rs71522756 lBF = `14.0585` Chr`8` : `106,746,337`	0.527	0.472	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.525	0.475	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.524	0.476	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.521	0.479	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.518	0.482	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.514	0.485	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.513	0.487	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.510	0.489	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.509	0.491	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.506	0.494	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.503	0.497	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.503	0.497	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.499	0.501	0.000
rs11985641 lBF = `11.8964` Chr`8` : `2,281,867`	0.499	0.501	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.496	0.503	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.484	0.516	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.477	0.522	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.477	0.523	0.000
rs7815327 lBF = `1.42525` Chr`8` : `135,055,503`	0.476	0.524	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.469	0.531	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.469	0.531	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.467	0.533	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.467	0.533	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.463	0.537	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.459	0.541	0.000
rs11785559 lBF = `6.9921` Chr`8` : `129,300,304`	0.457	0.543	0.000
rs17186334 lBF = `10.5242` Chr`8` : `13,046,662`	0.453	0.546	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.453	0.547	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.451	0.548	0.000
rs140355816 lBF = `6.61367` Chr`8` : `117,574,515`	0.450	0.550	0.000
rs16876083 lBF = `1.85429` Chr`8` : `29,716,261`	0.449	0.551	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.442	0.558	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.438	0.562	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.436	0.564	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.435	0.564	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.434	0.566	0.000
rs72668436 lBF = `5.13152` Chr`8` : `99,917,181`	0.432	0.567	0.000
rs6988636 lBF = `0.592889` Chr`8` : `124,185,970`	0.432	0.568	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.426	0.574	0.000
rs116951791 lBF = `8.04751` Chr`8` : `93,219,721`	0.425	0.575	0.000
rs191939331 lBF = `1.86657` Chr`8` : `84,717,650`	0.420	0.580	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.414	0.586	0.000
rs7839059 lBF = `0.472635` Chr`8` : `119,976,542`	0.000	0.593	0.406
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.404	0.596	0.000
rs4596632 lBF = `0.305403` Chr`8` : `132,353,735`	0.401	0.598	0.000
rs10091038 lBF = `0.63362` Chr`8` : `29,360,305`	0.000	0.600	0.400
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.398	0.601	0.000
rs28603047 lBF = `14.1451` Chr`8` : `108,826,197`	0.398	0.602	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.398	0.602	0.000
rs6983473 lBF = `0.367125` Chr`8` : `27,905,888`	0.396	0.604	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.395	0.605	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.380	0.620	0.000
rs186868868 lBF = `23.5439` Chr`8` : `19,863,803`	0.378	0.622	0.000
rs6995588 lBF = `1.80835` Chr`8` : `61,003,897`	0.364	0.636	0.000
rs2623702 lBF = `0.390489` Chr`8` : `3,594,906`	0.364	0.636	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.362	0.638	0.000
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.355	0.645	0.000
rs116086868 lBF = `14.4058` Chr`8` : `17,448,828`	0.349	0.651	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.349	0.651	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.341	0.658	0.000
rs4469412 lBF = `3.23679` Chr`8` : `33,565,378`	0.339	0.661	0.000
rs74342708 lBF = `21.3644` Chr`8` : `22,572,749`	0.336	0.664	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.321	0.678	0.000
rs12545109 lBF = `0.282577` Chr`8` : `57,313,906`	0.000	0.679	0.321
rs74912350 lBF = `10.4081` Chr`8` : `96,035,756`	0.320	0.680	0.000
rs187162159 lBF = `0.854917` Chr`8` : `25,111,606`	0.319	0.680	0.000
rs76904521 lBF = `9.88184` Chr`8` : `1,148,999`	0.314	0.685	0.000
rs17665859 lBF = `0.377724` Chr`8` : `445,601`	0.311	0.689	0.000
rs75609241 lBF = `0.288686` Chr`8` : `29,082,285`	0.306	0.694	0.000
rs185206099 lBF = `1.92922` Chr`8` : `6,477,298`	0.000	0.694	0.305
rs16867579 lBF = `0.536426` Chr`8` : `102,375,267`	0.299	0.701	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.298	0.702	0.001
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rs17658378 lBF = `0.180638` Chr`8` : `116,394,075`	0.002	0.998	0.000
rs4272382 lBF = `-0.00807291` Chr`8` : `8,433,488`	0.002	0.998	0.000
rs16906293 lBF = `0.00055016` Chr`8` : `137,768,892`	0.001	0.998	0.000
rs74834049 lBF = `-0.041421` Chr`8` : `13,029,877`	0.000	0.998	0.002
rs2980879 lBF = `27.5408` Chr`8` : `126,481,475`	0.002	0.998	0.000
rs13272568 lBF = `-0.0313162` Chr`8` : `79,034,459`	0.000	0.998	0.002
rs1551398 lBF = `-0.0695463` Chr`8` : `126,540,051`	0.002	0.998	0.000
rs12541635 lBF = `-0.100957` Chr`8` : `107,090,000`	0.001	0.998	0.000
rs7016880 lBF = `3.47103` Chr`8` : `19,876,746`	0.000	0.998	0.002
rs76794758 lBF = `0.0753432` Chr`8` : `47,052,818`	0.001	0.998	0.000
rs7004484 lBF = `0.0286376` Chr`8` : `132,934,538`	0.000	0.998	0.001
rs12549576 lBF = `0.00325494` Chr`8` : `112,976,141`	0.001	0.998	0.000
rs10888073 lBF = `0.742031` Chr`8` : `13,738,781`	0.001	0.998	0.000
rs6989684 lBF = `-0.00918676` Chr`8` : `120,143,039`	0.001	0.998	0.000
rs2453452 lBF = `-0.0289907` Chr`8` : `87,879,043`	0.001	0.998	0.000
rs3104888 lBF = `0.105305` Chr`8` : `96,621,168`	0.000	0.999	0.001
rs1106634 lBF = `-0.0157477` Chr`8` : `20,066,049`	0.001	0.999	0.000
rs16910486 lBF = `-0.0606078` Chr`8` : `140,352,359`	0.001	0.999	0.000
rs9650199 lBF = `-0.0671861` Chr`8` : `61,346,197`	0.001	0.999	0.000
rs1446682 lBF = `-0.0866074` Chr`8` : `27,076,598`	0.001	0.999	0.000
rs11987758 lBF = `0.0136368` Chr`8` : `2,128,786`	0.001	0.999	0.000
rs13270892 lBF = `-0.0278743` Chr`8` : `20,497,183`	0.001	0.999	0.000
rs7012814 lBF = `0.264762` Chr`8` : `9,173,358`	0.000	0.999	0.001
rs9772809 lBF = `-0.0281998` Chr`8` : `42,658,181`	0.000	0.999	0.001
rs1441756 lBF = `18.4586` Chr`8` : `19,868,386`	0.000	0.999	0.001
rs4602861 lBF = `3.8459` Chr`8` : `106,590,706`	0.001	0.999	0.000
rs264 lBF = `0.1279` Chr`8` : `19,813,180`	0.000	0.999	0.001
rs150281976 lBF = `0.00104432` Chr`8` : `25,131,459`	0.001	0.999	0.000
rs79236614 lBF = `2.78621` Chr`8` : `19,860,460`	0.000	0.999	0.001
rs13259109 lBF = `0.04898` Chr`8` : `113,115,897`	0.001	0.999	0.000
rs75200691 lBF = `-0.0532288` Chr`8` : `13,054,869`	0.000	0.999	0.001
rs2287654 lBF = `0.0468666` Chr`8` : `47,947,701`	0.001	0.999	0.000
rs1671400 lBF = `-0.00901045` Chr`8` : `13,176,407`	0.001	0.999	0.000
rs4875102 lBF = `-0.06731` Chr`8` : `4,284,692`	0.000	0.999	0.001
rs1045529 lBF = `1.37424` Chr`8` : `8,890,098`	0.000	0.999	0.001
rs12677663 lBF = `-0.054517` Chr`8` : `74,007,347`	0.001	0.999	0.000
rs6998967 lBF = `2.99125` Chr`8` : `81,364,205`	0.000	0.999	0.001
rs2048656 lBF = `2.78992` Chr`8` : `9,644,659`	0.001	0.999	0.000
rs2722425 lBF = `0.210439` Chr`8` : `40,484,239`	0.000	0.999	0.001
rs6999452 lBF = `-0.0453161` Chr`8` : `106,397,116`	0.000	0.999	0.001
rs10090104 lBF = `-0.0522781` Chr`8` : `142,370,862`	0.000	0.999	0.001
rs7000921 lBF = `-0.0634135` Chr`8` : `20,393,206`	0.001	0.999	0.000
rs142816172 lBF = `0.016328` Chr`8` : `3,156,220`	0.001	0.999	0.000
rs1531590 lBF = `0.0152584` Chr`8` : `76,036,444`	0.001	0.999	0.000
rs4737547 lBF = `0.194995` Chr`8` : `60,545,664`	0.000	0.999	0.001
rs61496269 lBF = `0.00050382` Chr`8` : `139,608,718`	0.001	0.999	0.000
rs2975734 lBF = `-0.0286243` Chr`8` : `10,090,097`	0.001	0.999	0.000
rs4256596 lBF = `10.5421` Chr`8` : `25,689,123`	0.001	0.999	0.000
rs10504861 lBF = `0.222342` Chr`8` : `89,547,932`	0.001	0.999	0.000
rs10109725 lBF = `0.117484` Chr`8` : `3,364,038`	0.001	0.999	0.000
rs978152 lBF = `-0.0405618` Chr`8` : `133,369,094`	0.000	0.999	0.001
rs6990917 lBF = `-0.00492576` Chr`8` : `68,799,377`	0.001	0.999	0.000
rs655028 lBF = `20.4236` Chr`8` : `70,049,047`	0.000	0.999	0.001
rs2083637 lBF = `18.8278` Chr`8` : `19,865,175`	0.000	0.999	0.001
rs28493987 lBF = `0.00029576` Chr`8` : `75,341,097`	0.000	0.999	0.001
rs6557786 lBF = `-0.0632373` Chr`8` : `24,799,742`	0.001	0.999	0.000
rs7014346 lBF = `34.9397` Chr`8` : `128,424,792`	0.001	0.999	0.000
rs62480124 lBF = `-0.00312859` Chr`8` : `3,778,636`	0.000	0.999	0.001
rs142487520 lBF = `-0.0101822` Chr`8` : `9,274,376`	0.001	0.999	0.000
rs17405819 lBF = `-0.0363693` Chr`8` : `76,806,584`	0.001	0.999	0.000
rs2254546 lBF = `0.049017` Chr`8` : `11,343,680`	0.001	0.999	0.000
rs4342585 lBF = `0.0008069` Chr`8` : `74,467,504`	0.001	0.999	0.000
rs2954022 lBF = `0.00028347` Chr`8` : `126,482,621`	0.000	0.999	0.001
rs10504390 lBF = `-0.0129628` Chr`8` : `66,624,232`	0.001	0.999	0.000
rs10090896 lBF = `-0.0659405` Chr`8` : `70,680,983`	0.001	0.999	0.000
rs16904316 lBF = `0.00025085` Chr`8` : `131,617,850`	0.001	0.999	0.000
rs147913210 lBF = `0.00024086` Chr`8` : `25,130,233`	0.001	0.999	0.000
rs7010162 lBF = `-0.0111381` Chr`8` : `70,976,505`	0.001	0.999	0.000
rs604254 lBF = `20.4602` Chr`8` : `70,059,164`	0.000	0.999	0.001
rs16936455 lBF = `0.324153` Chr`8` : `70,724,754`	0.001	0.999	0.000
rs569214 lBF = `0.304049` Chr`8` : `27,487,790`	0.001	0.999	0.000
rs6473015 lBF = `0.093735` Chr`8` : `78,178,485`	0.001	0.999	0.000
rs7015622 lBF = `0.00012047` Chr`8` : `83,903,814`	0.001	0.999	0.000
rs4875284 lBF = `-0.00003065` Chr`8` : `3,978,130`	0.001	0.999	0.000
rs16872085 lBF = `0.197457` Chr`8` : `105,957,540`	0.000	0.999	0.001
rs192316701 lBF = `0.00007261` Chr`8` : `1,456,068`	0.001	0.999	0.000
rs113367091 lBF = `0.00003576` Chr`8` : `12,892,858`	0.001	0.999	0.000
rs12542677 lBF = `0.00006733` Chr`8` : `56,168,059`	0.000	0.999	0.001
rs186046079 lBF = `0.00004726` Chr`8` : `6,468,714`	0.000	0.999	0.001
rs190951784 lBF = `0.00003382` Chr`8` : `25,131,523`	0.001	0.999	0.000
rs73318770 lBF = `0.00000446` Chr`8` : `74,362,915`	0.001	0.999	0.000
rs183191361 lBF = `0` Chr`8` : `76,083,247`	0.001	0.999	0.001
rs79781504 lBF = `0` Chr`8` : `84,750,057`	0.001	0.999	0.001
rs11986011 lBF = `0` Chr`8` : `127,332,657`	0.001	0.999	0.001
rs182115318 lBF = `0` Chr`8` : `25,128,723`	0.001	0.999	0.001
rs182302106 lBF = `0` Chr`8` : `1,455,175`	0.001	0.999	0.001
rs187636186 lBF = `0` Chr`8` : `73,002,468`	0.001	0.999	0.001
rs11989122 lBF = `0` Chr`8` : `118,827,839`	0.001	0.999	0.001
rs141395649 lBF = `0` Chr`8` : `6,498,690`	0.001	0.999	0.001
rs1845529 lBF = `0` Chr`8` : `116,163,863`	0.001	0.999	0.001
rs114252942 lBF = `0` Chr`8` : `6,202,964`	0.001	0.999	0.001
rs116129203 lBF = `0` Chr`8` : `6,779,323`	0.001	0.999	0.001
rs114258913 lBF = `0` Chr`8` : `93,525,403`	0.001	0.999	0.001
rs150435906 lBF = `0` Chr`8` : `66,864,338`	0.001	0.999	0.001
rs73313124 lBF = `0` Chr`8` : `110,478,822`	0.001	0.999	0.001
rs144424757 lBF = `0` Chr`8` : `12,929,793`	0.001	0.999	0.001
rs188809019 lBF = `0` Chr`8` : `129,286,235`	0.001	0.999	0.001
rs191631123 lBF = `0` Chr`8` : `32,443,704`	0.001	0.999	0.001
rs4128527 lBF = `0` Chr`8` : `72,682,693`	0.001	0.999	0.001

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 X0286

log Bayes Factor = 30.6663

contains 3 variants

0.9987

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.9446

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5383

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3360

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

1.0000

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

1.0000

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9995

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9984

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9967

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9960

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9945

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9903

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9903

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9899

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9893

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9865

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.9863

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9860

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.9828

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9801

Cluster X0006

log Bayes Factor = 34.113

contains 4 variants

0.9763

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9762

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9761

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9754

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9751

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9743

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9728

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9708

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9698

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9688

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9658

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9657

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9656

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9593

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9589

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9579

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9480

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9439

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9367

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9321

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9228

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9166

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.9145

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9089

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9056

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.9039

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.9008

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8979

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8972

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8957

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8941

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8906

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8904

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8855

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8803

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.8779

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8749

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8728

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8715

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8701

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8687

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8643

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8634

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8620

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8611

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8608

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8595

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8558

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8516

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8483

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8433

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8431

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.8407

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8400

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8390

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8374

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8339

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8261

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8256

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8178

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8126

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8116

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8052

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7935

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.7933

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.7837

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7813

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7797

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.7764

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7762

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7752

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7738

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7733

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7631

Cluster X0254

log Bayes Factor = 16.9606

contains 2 variants

0.7618

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7617

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7604

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7558

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7537

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7515

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7486

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7457

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7455

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7383

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7362

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7294

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7250

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7230

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7215

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7203

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7179

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7134

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7092

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6997

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6984

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6923

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6904

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6866

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6786

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6759

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6728

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6641

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6591

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6582

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6558

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6543

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.6506

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6488

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6434

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6292

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6291

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6285

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6250

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6247

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6153

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.6152

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6134

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6108

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6052

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.5915

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5843

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5836

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5802

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5781

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5747

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5747

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5721

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5683

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5677

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5661

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5651

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5650

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5647

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5637

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5621

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5613

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5549

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5495

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5457

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5386

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5348

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5321

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5307

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5195

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5008

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4959

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.4949

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.4744

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4665

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4661

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4646

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4645

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4635

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4587

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4530

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4529

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4510

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4464

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4424

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4355

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4325

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4291

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4221

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4203

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4199

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4183

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4122

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4074

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4036

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3944

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3782

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3531

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3417

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3400

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3257

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3188

Cluster X0217

log Bayes Factor = 26.9761

contains 3 variants

0.3179

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3119

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2981

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2918

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2868

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2661

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2658

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2448

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2267

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2174

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1575

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1379

Cluster X0016

log Bayes Factor = 246.869

contains 16 variants

0.1369

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.1248

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.1217

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1203

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1098

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1077

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0963

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.0951

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0590

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`)