TreeWAS – [M34.9] Systemic sclerosis, unspecified

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
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.788	0.212	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.757	0.243	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.752	0.248	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.742	0.258	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.733	0.267	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.721	0.279	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.721	0.279	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.720	0.280	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.692	0.308	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.657	0.343	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.654	0.346	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.634	0.366	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.629	0.371	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.627	0.373	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.621	0.379	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.620	0.380	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.602	0.398	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.592	0.407	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.588	0.412	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.582	0.417	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.578	0.422	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.576	0.424	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.570	0.430	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.557	0.443	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.555	0.445	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.553	0.447	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.550	0.450	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.549	0.451	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.548	0.452	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.541	0.459	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.532	0.467	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.532	0.468	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.531	0.469	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.517	0.483	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.516	0.484	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.516	0.484	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.514	0.486	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.514	0.486	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.514	0.486	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.514	0.486	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.514	0.486	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.513	0.486	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.513	0.486	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.511	0.489	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.510	0.490	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.508	0.492	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.507	0.493	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.507	0.493	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.507	0.493	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.505	0.495	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.503	0.496	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.501	0.498	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.498	0.502	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.494	0.505	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.494	0.506	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.493	0.507	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.492	0.508	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.491	0.508	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.491	0.509	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.491	0.509	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.488	0.512	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.486	0.514	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.486	0.514	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.486	0.514	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.483	0.516	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.483	0.517	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.482	0.517	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.480	0.520	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.479	0.521	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.478	0.522	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.478	0.522	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.477	0.523	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.476	0.523	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.474	0.526	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.474	0.526	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.474	0.526	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.472	0.527	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.471	0.529	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.468	0.532	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.467	0.533	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.466	0.534	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.465	0.535	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.465	0.535	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.537	0.463
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.462	0.538	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.461	0.539	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.460	0.540	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.459	0.540	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.455	0.545	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.455	0.545	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.454	0.545	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.453	0.547	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.450	0.550	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.450	0.550	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.450	0.550	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.449	0.551	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.449	0.551	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.449	0.551	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.446	0.554	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.445	0.555	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.441	0.558	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.434	0.566	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.432	0.568	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.431	0.568	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.429	0.571	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.427	0.573	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.426	0.573	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.422	0.578	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.421	0.579	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.419	0.581	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.417	0.583	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.413	0.586	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.410	0.589	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.410	0.590	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.407	0.592	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.406	0.594	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.400	0.600	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.399	0.600	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.396	0.604	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.394	0.606	0.000
rs17199964 lBF = `7.22049` Chr`4` : `102,707,791`	0.391	0.608	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.391	0.609	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.386	0.613	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.385	0.615	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.385	0.615	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.383	0.617	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.380	0.620	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.378	0.622	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.377	0.623	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.374	0.626	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.368	0.631	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.368	0.632	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.367	0.632	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.367	0.633	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.365	0.635	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.365	0.635	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.363	0.637	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.362	0.637	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.360	0.640	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.353	0.647	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.349	0.651	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.349	0.651	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.347	0.653	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.347	0.653	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.346	0.654	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.344	0.656	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.340	0.660	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.339	0.660	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.339	0.661	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.337	0.663	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.337	0.663	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.336	0.664	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.335	0.664	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.334	0.665	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.333	0.667	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.329	0.671	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.326	0.674	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.321	0.679	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.314	0.686	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.313	0.686	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.309	0.690	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.308	0.691	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.308	0.692	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.307	0.692	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.303	0.697	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.301	0.699	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.296	0.704	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.295	0.705	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.295	0.705	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.291	0.709	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.291	0.709	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.285	0.714	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.285	0.715	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.285	0.715	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.284	0.715	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.283	0.716	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.281	0.718	0.001
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.280	0.720	0.000
rs1479279 lBF = `0.886523` Chr`4` : `12,099,335`	0.280	0.720	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.278	0.722	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.278	0.722	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.276	0.723	0.001
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.274	0.725	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.273	0.726	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.270	0.729	0.001
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.270	0.730	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.269	0.731	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.267	0.732	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.265	0.735	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.264	0.735	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.251	0.749	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.250	0.750	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.250	0.750	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.250	0.750	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.250	0.750	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.250	0.750	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.250	0.750	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.250	0.750	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.250	0.750	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.250	0.750	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.250	0.750	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.248	0.751	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.246	0.754	0.000
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rs1385890 lBF = `0.282755` Chr`4` : `81,535,393`	0.003	0.997	0.000
rs6449353 lBF = `0.0635743` Chr`4` : `18,033,488`	0.003	0.997	0.000
rs72697068 lBF = `-0.00361685` Chr`4` : `164,193,673`	0.003	0.997	0.000
rs6816344 lBF = `-0.0438677` Chr`4` : `73,783,404`	0.000	0.997	0.003
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.003	0.997	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.003	0.997	0.000
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.003	0.997	0.000
rs10010758 lBF = `-0.0573761` Chr`4` : `37,938,518`	0.000	0.997	0.003
rs340635 lBF = `0.0409992` Chr`4` : `87,931,404`	0.003	0.997	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.997	0.002
rs708547 lBF = `-0.0302812` Chr`4` : `57,821,309`	0.002	0.997	0.000
rs6830062 lBF = `0.0659888` Chr`4` : `18,017,730`	0.002	0.997	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.002	0.998	0.000
rs1564282 lBF = `0.0548859` Chr`4` : `852,313`	0.000	0.998	0.002
rs13133845 lBF = `0.0140746` Chr`4` : `95,594,616`	0.002	0.998	0.000
rs190797076 lBF = `0.00324361` Chr`4` : `111,511,087`	0.002	0.998	0.000
rs11248051 lBF = `0.0669107` Chr`4` : `858,332`	0.000	0.998	0.002
rs13124827 lBF = `0.124244` Chr`4` : `157,340,210`	0.000	0.998	0.002
rs181099388 lBF = `-0.0116624` Chr`4` : `39,462,030`	0.002	0.998	0.000
rs12507634 lBF = `1.35447` Chr`4` : `175,071,602`	0.000	0.998	0.002
rs9790517 lBF = `0.915959` Chr`4` : `106,084,778`	0.000	0.998	0.002
rs1378552 lBF = `0.0384703` Chr`4` : `180,356,846`	0.002	0.998	0.000
rs3853444 lBF = `-0.1011` Chr`4` : `111,734,136`	0.002	0.998	0.000
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.002	0.998	0.000
rs3774959 lBF = `0.914734` Chr`4` : `103,511,114`	0.002	0.998	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.002	0.998	0.000
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.998	0.001
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.002	0.998	0.000
rs3774937 lBF = `1.27988` Chr`4` : `103,434,253`	0.002	0.998	0.000
rs7674118 lBF = `0.00697127` Chr`4` : `166,850,465`	0.002	0.998	0.000
rs1000579 lBF = `0.261413` Chr`4` : `4,719,494`	0.000	0.998	0.002
rs1397427 lBF = `0.360688` Chr`4` : `36,006,905`	0.002	0.998	0.000
rs17291045 lBF = `0.132723` Chr`4` : `161,506,897`	0.002	0.998	0.000
rs11724903 lBF = `-0.0584806` Chr`4` : `183,200,145`	0.002	0.998	0.000
rs1380294 lBF = `0.0515609` Chr`4` : `18,024,121`	0.002	0.998	0.000
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs4956211 lBF = `-0.0418324` Chr`4` : `109,723,126`	0.002	0.998	0.000
rs10520528 lBF = `-0.0594368` Chr`4` : `183,260,601`	0.002	0.998	0.000
rs10518406 lBF = `-0.0172595` Chr`4` : `123,762,897`	0.002	0.998	0.000
rs2006970 lBF = `-0.0912941` Chr`4` : `43,320,507`	0.000	0.998	0.002
rs11099660 lBF = `-0.0504631` Chr`4` : `148,513,620`	0.002	0.998	0.000
rs2955259 lBF = `0.224467` Chr`4` : `170,873,844`	0.002	0.998	0.000
rs10032931 lBF = `0.0926103` Chr`4` : `96,458,433`	0.002	0.998	0.000
rs17002988 lBF = `-0.0297488` Chr`4` : `79,079,757`	0.000	0.998	0.002
rs76930906 lBF = `0.110223` Chr`4` : `175,095,875`	0.000	0.998	0.001
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.000	0.998	0.001
rs488400 lBF = `-0.0900235` Chr`4` : `152,782,878`	0.002	0.998	0.000
rs17072322 lBF = `5.23479` Chr`4` : `182,742,909`	0.001	0.998	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.998	0.000
rs6845078 lBF = `0.0555976` Chr`4` : `17,952,208`	0.001	0.998	0.000
rs7675915 lBF = `0.0387758` Chr`4` : `4,678,907`	0.001	0.998	0.000
rs4615179 lBF = `-0.0558005` Chr`4` : `38,465,471`	0.001	0.998	0.000
rs1492848 lBF = `7.18332` Chr`4` : `83,068,042`	0.001	0.998	0.000
rs7692995 lBF = `0.0653919` Chr`4` : `17,936,634`	0.001	0.999	0.000
rs6840361 lBF = `0.0433636` Chr`4` : `163,738,121`	0.001	0.999	0.000
rs1440306 lBF = `-0.0995742` Chr`4` : `117,875,261`	0.001	0.999	0.000
rs4478147 lBF = `-0.0161883` Chr`4` : `87,473,776`	0.000	0.999	0.001
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.001	0.999	0.000
rs6446315 lBF = `0.677623` Chr`4` : `5,035,587`	0.001	0.999	0.000
rs3733309 lBF = `0.0524375` Chr`4` : `57,857,188`	0.000	0.999	0.001
rs145379083 lBF = `-0.063524` Chr`4` : `63,893,278`	0.001	0.999	0.000
rs16872571 lBF = `0.362034` Chr`4` : `10,726,853`	0.001	0.999	0.000
rs9291683 lBF = `2.57597` Chr`4` : `10,324,160`	0.000	0.999	0.001
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs17090640 lBF = `-0.0331028` Chr`4` : `180,667,647`	0.001	0.999	0.000
rs7690467 lBF = `-0.078384` Chr`4` : `133,326,395`	0.001	0.999	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.000	0.999	0.001
rs4619890 lBF = `0.67566` Chr`4` : `7,853,160`	0.001	0.999	0.000
rs6844506 lBF = `0.299742` Chr`4` : `185,217,148`	0.001	0.999	0.000
rs17261688 lBF = `-0.0574112` Chr`4` : `161,028,817`	0.000	0.999	0.001
rs17407555 lBF = `0.0669915` Chr`4` : `10,274,994`	0.001	0.999	0.000
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs13144478 lBF = `0.0198258` Chr`4` : `116,196,306`	0.001	0.999	0.000
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs17011337 lBF = `5.08366` Chr`4` : `127,535,036`	0.001	0.999	0.000
rs16896068 lBF = `0.0539366` Chr`4` : `17,944,840`	0.001	0.999	0.000
rs6817170 lBF = `0.0145302` Chr`4` : `154,374,984`	0.001	0.999	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.001	0.999	0.000
rs2389202 lBF = `0.0765926` Chr`4` : `117,254,289`	0.001	0.999	0.000
rs2518590 lBF = `0.00081962` Chr`4` : `17,435,090`	0.000	0.999	0.001
rs11098499 lBF = `-0.0695545` Chr`4` : `120,187,611`	0.000	0.999	0.001
rs180730 lBF = `-0.0884718` Chr`4` : `121,801,790`	0.001	0.999	0.000
rs1023721 lBF = `0.0104854` Chr`4` : `21,206,490`	0.001	0.999	0.000
rs2289252 lBF = `30.302` Chr`4` : `187,207,381`	0.000	0.999	0.001
rs1845344 lBF = `0.383566` Chr`4` : `120,962,385`	0.001	0.999	0.000
rs190972371 lBF = `0.00073049` Chr`4` : `57,680,410`	0.001	0.999	0.000
rs2710833 lBF = `-0.05623` Chr`4` : `169,409,958`	0.000	0.999	0.001
rs4253399 lBF = `27.1299` Chr`4` : `187,188,094`	0.000	0.999	0.001
rs10519980 lBF = `11.5893` Chr`4` : `149,635,025`	0.001	0.999	0.000
rs150303591 lBF = `0.0368163` Chr`4` : `79,009,309`	0.000	0.999	0.001
rs11735070 lBF = `-0.103125` Chr`4` : `100,713,765`	0.001	0.999	0.000
rs148685782 lBF = `1.2183` Chr`4` : `155,533,035`	0.001	0.999	0.000
rs4832928 lBF = `-0.053493` Chr`4` : `37,645,389`	0.000	0.999	0.001
rs6854783 lBF = `0.0111782` Chr`4` : `145,643,079`	0.001	0.999	0.000
rs1454694 lBF = `0.00815551` Chr`4` : `182,197,947`	0.000	0.999	0.001
rs1115363 lBF = `0.00098881` Chr`4` : `67,073,143`	0.001	0.999	0.000
rs10007052 lBF = `-0.00319639` Chr`4` : `142,005,573`	0.001	0.999	0.000
rs293428 lBF = `-0.0792941` Chr`4` : `69,591,782`	0.001	0.999	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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.1099

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9939

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9819

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9741

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9715

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9651

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9640

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9624

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9619

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9617

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9567

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9522

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9492

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9417

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9378

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9368

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9346

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9319

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9316

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9313

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9276

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9252

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9227

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9215

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9192

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9180

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9165

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9151

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9127

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9113

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9101

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9100

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9093

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9070

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8993

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8965

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8930

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8909

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8893

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8888

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8780

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8776

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8771

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8748

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8717

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8715

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8694

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8661

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8657

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8536

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8522

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8503

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8492

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8418

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8399

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8373

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8372

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8353

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8352

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8242

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8240

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8139

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8128

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8122

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8106

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8084

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8013

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7928

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7915

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7884

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7878

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7833

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7807

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7764

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7698

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7687

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7664

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7660

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7631

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7568

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7537

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7531

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7521

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7470

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7436

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7422

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7420

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7402

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.7356

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7332

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7326

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7308

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7295

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7286

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7232

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7209

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7207

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.7206

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7195

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7176

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7174

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7131

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7070

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7031

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7017

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7002

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6976

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6968

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6917

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6903

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6898

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6894

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6888

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6885

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.6840

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6831

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6825

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6795

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6745

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6695

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6610

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6599

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6598

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6522

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6452

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6447

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6423

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6396

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6385

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.6303

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6280

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6246

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6234

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6207

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6169

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6159

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6136

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6059

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6047

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6005

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5946

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5941

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.5877

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5861

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5771

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5750

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5745

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5514

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5477

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5474

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5429

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.5301

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5300

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5261

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5143

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5140

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5140

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5139

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5019

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5000

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4893

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4885

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4610

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4550

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.4508

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4471

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.4409

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4325

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4226

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4218

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4112

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4005

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3810

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3785

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3751

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.3717

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.3596

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3569

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3424

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2723

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2670

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2647

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2636

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2592

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2501

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2476

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2216

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2209

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.2159

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1937

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1912

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1831

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1799

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1773

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1704

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1666

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.1592

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1520

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1462

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.1371

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1342

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1270

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0893

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0799

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0745

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0710

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.0673

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0641

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0631

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0580

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`)