TreeWAS – [M24.16] Other articular cartilage disorders (Lower leg)

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
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.905	0.095	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.850	0.150	0.000
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.836	0.164	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.772	0.228	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.734	0.266	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.734	0.266	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.713	0.287	0.000
rs9994162 lBF = `12.3674` Chr`4` : `110,715,473`	0.671	0.329	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.670	0.330	0.000
rs66944385 lBF = `5.4852` Chr`4` : `34,258,430`	0.656	0.344	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.647	0.353	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.593	0.407	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.585	0.415	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.574	0.426	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.571	0.429	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.571	0.429	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.551	0.449	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.547	0.453	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.537	0.463	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.533	0.467	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.528	0.472	0.000
rs17035310 lBF = `0.857621` Chr`4` : `106,064,754`	0.515	0.485	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.511	0.489	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.499	0.501	0.000
rs72686452 lBF = `15.5869` Chr`4` : `98,830,563`	0.497	0.502	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.497	0.503	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.496	0.504	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.492	0.508	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.489	0.511	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.466	0.534	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.461	0.539	0.000
rs74284780 lBF = `9.43097` Chr`4` : `6,937,801`	0.459	0.541	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.457	0.543	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.455	0.545	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.442	0.557	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.440	0.559	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.431	0.569	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.426	0.573	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.426	0.574	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.426	0.574	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.416	0.584	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.415	0.585	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.404	0.596	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.403	0.597	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.402	0.598	0.000
rs1861046 lBF = `9.58355` Chr`4` : `15,397,906`	0.400	0.600	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.396	0.604	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.392	0.608	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.392	0.608	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.390	0.610	0.000
rs56033260 lBF = `9.27843` Chr`4` : `19,930,248`	0.389	0.611	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.386	0.613	0.000
rs16891867 lBF = `9.13304` Chr`4` : `15,397,364`	0.385	0.615	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.373	0.626	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.373	0.627	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.372	0.628	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.371	0.628	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.370	0.630	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.368	0.632	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.366	0.634	0.000
rs114257644 lBF = `11.5193` Chr`4` : `164,616,687`	0.365	0.635	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.364	0.636	0.000
rs114439515 lBF = `1.19568` Chr`4` : `57,676,403`	0.363	0.637	0.000
rs112509438 lBF = `20.2341` Chr`4` : `5,374,450`	0.362	0.638	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.361	0.639	0.000
rs34333163 lBF = `18.6428` Chr`4` : `103,283,117`	0.360	0.640	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.356	0.644	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.355	0.645	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.346	0.654	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.346	0.654	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.346	0.654	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.339	0.661	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.339	0.661	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.335	0.665	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.333	0.666	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.332	0.668	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.325	0.675	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.320	0.680	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.320	0.680	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.319	0.681	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.316	0.684	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.314	0.685	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.313	0.687	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.311	0.689	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.308	0.692	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.308	0.692	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.300	0.700	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.299	0.700	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.298	0.701	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.297	0.703	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.296	0.704	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.295	0.704	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.293	0.707	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.292	0.708	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.291	0.708	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.291	0.709	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.289	0.711	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.287	0.713	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.284	0.716	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.283	0.717	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.718	0.282
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.279	0.721	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.275	0.725	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.274	0.726	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.272	0.727	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.270	0.729	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.270	0.730	0.000
rs62340688 lBF = `10.1762` Chr`4` : `104,419,380`	0.270	0.730	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.268	0.732	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.268	0.732	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.264	0.735	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.264	0.736	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.263	0.736	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.262	0.738	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.261	0.738	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.261	0.739	0.000
rs1861050 lBF = `8.03294` Chr`4` : `15,482,360`	0.261	0.739	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.261	0.739	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.260	0.740	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.259	0.741	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.258	0.741	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.257	0.743	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.257	0.743	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.256	0.744	0.000
rs76528505 lBF = `5.10327` Chr`4` : `58,053,821`	0.254	0.746	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.251	0.749	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.250	0.749	0.001
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.250	0.749	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.250	0.750	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.247	0.753	0.001
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.247	0.753	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.245	0.755	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.240	0.759	0.001
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.234	0.766	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.234	0.766	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.233	0.767	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.233	0.767	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.230	0.769	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.221	0.778	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.218	0.782	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.218	0.782	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.216	0.784	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.215	0.785	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.213	0.787	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.211	0.788	0.000
rs115158632 lBF = `14.3201` Chr`4` : `118,088,133`	0.210	0.790	0.001
rs2579330 lBF = `0.275472` Chr`4` : `72,126,889`	0.210	0.790	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.210	0.790	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.209	0.791	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.209	0.791	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.208	0.791	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.206	0.794	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.205	0.795	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.202	0.798	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.202	0.798	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.200	0.800	0.000
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.197	0.802	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.196	0.804	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.191	0.809	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.190	0.809	0.001
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.190	0.809	0.001
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.187	0.812	0.001
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.185	0.814	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.185	0.815	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.182	0.817	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.182	0.818	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.181	0.818	0.001
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.180	0.819	0.001
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.180	0.820	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.180	0.820	0.000
rs58276078 lBF = `0.37065` Chr`4` : `98,511,626`	0.179	0.820	0.000
rs56880249 lBF = `0.37065` Chr`4` : `98,510,828`	0.179	0.820	0.000
rs17026828 lBF = `0.37065` Chr`4` : `98,509,511`	0.179	0.820	0.000
rs72890852 lBF = `0.37065` Chr`4` : `98,542,630`	0.179	0.820	0.000
rs1508459 lBF = `0.37065` Chr`4` : `98,508,980`	0.179	0.820	0.000
rs7662978 lBF = `0.37065` Chr`4` : `98,521,417`	0.179	0.820	0.000
rs72889102 lBF = `0.37065` Chr`4` : `98,507,212`	0.179	0.820	0.000
rs61154600 lBF = `0.37065` Chr`4` : `98,511,620`	0.179	0.820	0.000
rs72889099 lBF = `0.37065` Chr`4` : `98,505,438`	0.179	0.820	0.000
rs61456001 lBF = `0.37065` Chr`4` : `98,509,976`	0.179	0.820	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.178	0.822	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.174	0.826	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.172	0.827	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.170	0.829	0.001
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.171	0.829	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.169	0.830	0.001
rs55901496 lBF = `0.333042` Chr`4` : `98,549,992`	0.169	0.831	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.169	0.831	0.000
rs16850885 lBF = `1.5091` Chr`4` : `75,170,140`	0.169	0.831	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.169	0.831	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.164	0.836	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.164	0.836	0.000
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.164	0.836	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.163	0.837	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.162	0.838	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.161	0.839	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.161	0.839	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.160	0.839	0.001
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.158	0.841	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.158	0.842	0.001
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.158	0.842	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.157	0.842	0.001
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rs113082832 lBF = `0.0644437` Chr`4` : `25,443,604`	0.003	0.997	0.000
rs2231142 lBF = `25.0085` Chr`4` : `89,052,323`	0.003	0.997	0.000
rs1967109 lBF = `-0.0299278` Chr`4` : `28,720,915`	0.000	0.997	0.003
rs491376 lBF = `0.00435815` Chr`4` : `13,116,762`	0.003	0.997	0.000
rs2073505 lBF = `0.0255654` Chr`4` : `3,444,503`	0.003	0.997	0.000
rs7674118 lBF = `0.00697127` Chr`4` : `166,850,465`	0.000	0.997	0.003
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.003	0.997	0.000
rs207282 lBF = `-0.0559939` Chr`4` : `19,108,884`	0.003	0.997	0.000
rs7666831 lBF = `0.00553227` Chr`4` : `93,321,027`	0.003	0.997	0.000
rs113991851 lBF = `-0.00564514` Chr`4` : `12,026,867`	0.003	0.997	0.000
rs16872248 lBF = `0.350614` Chr`4` : `22,021,500`	0.003	0.997	0.000
rs6828740 lBF = `0.0298342` Chr`4` : `118,334,619`	0.003	0.997	0.000
rs7687906 lBF = `-0.0224436` Chr`4` : `86,715,312`	0.003	0.997	0.000
rs2014912 lBF = `-0.024393` Chr`4` : `86,715,670`	0.003	0.997	0.000
rs360929 lBF = `0.0415579` Chr`4` : `152,907,700`	0.003	0.997	0.000
rs6813195 lBF = `0.0083919` Chr`4` : `153,520,475`	0.000	0.997	0.003
rs4234848 lBF = `-0.0134081` Chr`4` : `80,850,805`	0.000	0.997	0.003
rs150759334 lBF = `-0.0108331` Chr`4` : `61,666,246`	0.002	0.997	0.000
rs181099388 lBF = `-0.0116624` Chr`4` : `39,462,030`	0.002	0.997	0.000
rs11946787 lBF = `6.70182` Chr`4` : `151,294,622`	0.003	0.997	0.000
rs190797076 lBF = `0.00324361` Chr`4` : `111,511,087`	0.002	0.997	0.000
rs1960918 lBF = `4.83205` Chr`4` : `151,222,266`	0.000	0.998	0.002
rs62341097 lBF = `0.00588859` Chr`4` : `174,094,940`	0.002	0.998	0.000
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.002	0.998	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.002	0.998	0.000
rs1023721 lBF = `0.0104854` Chr`4` : `21,206,490`	0.002	0.998	0.000
rs6815218 lBF = `0.0770494` Chr`4` : `189,628,999`	0.002	0.998	0.000
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.002	0.998	0.000
rs1385890 lBF = `0.282755` Chr`4` : `81,535,393`	0.002	0.998	0.000
rs6535028 lBF = `0.140819` Chr`4` : `135,537,719`	0.002	0.998	0.000
rs17007017 lBF = `0.0213226` Chr`4` : `142,142,729`	0.002	0.998	0.000
rs3796804 lBF = `0.126027` Chr`4` : `82,009,707`	0.000	0.998	0.002
rs13144478 lBF = `0.0198258` Chr`4` : `116,196,306`	0.002	0.998	0.000
rs4253418 lBF = `6.71583` Chr`4` : `187,199,497`	0.002	0.998	0.000
rs7687921 lBF = `-0.0226881` Chr`4` : `176,859,026`	0.002	0.998	0.000
rs1450439 lBF = `-0.060075` Chr`4` : `139,493,398`	0.000	0.998	0.002
rs1008375 lBF = `-0.111211` Chr`4` : `17,682,834`	0.002	0.998	0.000
rs77803164 lBF = `0.00296913` Chr`4` : `139,809,181`	0.002	0.998	0.000
rs1880529 lBF = `-0.0942345` Chr`4` : `114,379,379`	0.002	0.998	0.000
rs28573326 lBF = `-0.0697799` Chr`4` : `166,338,328`	0.002	0.998	0.000
rs6536024 lBF = `15.8312` Chr`4` : `155,543,369`	0.000	0.998	0.002
rs78647349 lBF = `0.136071` Chr`4` : `5,237,153`	0.001	0.998	0.001
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.001	0.998	0.000
rs7662987 lBF = `-0.0317889` Chr`4` : `99,991,642`	0.000	0.998	0.002
rs11935423 lBF = `-0.00372978` Chr`4` : `100,477,462`	0.002	0.998	0.000
rs10433903 lBF = `-0.0320331` Chr`4` : `118,093,137`	0.002	0.998	0.000
rs150303591 lBF = `0.0368163` Chr`4` : `79,009,309`	0.002	0.998	0.000
rs17002253 lBF = `0.0289258` Chr`4` : `77,771,345`	0.002	0.998	0.000
rs1426063 lBF = `-0.0223168` Chr`4` : `76,030,921`	0.002	0.998	0.000
rs733048 lBF = `-0.0585084` Chr`4` : `13,242,797`	0.002	0.998	0.000
rs7695115 lBF = `9.91959` Chr`4` : `20,102,782`	0.002	0.998	0.000
rs7656244 lBF = `0.272616` Chr`4` : `65,170,415`	0.000	0.998	0.002
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.001	0.998	0.001
rs10014072 lBF = `-0.0269772` Chr`4` : `113,948,790`	0.000	0.998	0.002
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.002	0.998	0.000
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.001	0.998	0.000
rs2859815 lBF = `-0.0158752` Chr`4` : `166,672,836`	0.002	0.998	0.000
rs1390096 lBF = `0.122859` Chr`4` : `11,503,604`	0.000	0.998	0.002
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.002	0.998	0.000
rs13132184 lBF = `0.085757` Chr`4` : `38,013,026`	0.002	0.998	0.000
rs10518406 lBF = `-0.0172595` Chr`4` : `123,762,897`	0.001	0.998	0.000
rs300890 lBF = `-0.0627413` Chr`4` : `144,249,770`	0.002	0.998	0.000
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs546829 lBF = `-0.0808356` Chr`4` : `74,956,372`	0.002	0.998	0.000
rs10516635 lBF = `0.0964028` Chr`4` : `118,079,907`	0.002	0.998	0.000
rs71610881 lBF = `-0.0334894` Chr`4` : `26,003,646`	0.002	0.998	0.000
rs4610302 lBF = `0.190329` Chr`4` : `88,400,110`	0.002	0.998	0.000
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.001	0.999	0.000
rs3796587 lBF = `17.9101` Chr`4` : `156,638,073`	0.000	0.999	0.001
rs1042026 lBF = `-0.0905017` Chr`4` : `100,228,466`	0.000	0.999	0.001
rs76930906 lBF = `0.110223` Chr`4` : `175,095,875`	0.000	0.999	0.001
rs17623373 lBF = `0.107538` Chr`4` : `185,121,733`	0.000	0.999	0.001
rs999784 lBF = `14.0043` Chr`4` : `151,208,778`	0.001	0.999	0.000
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.999	0.000
rs708547 lBF = `-0.0302812` Chr`4` : `57,821,309`	0.001	0.999	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.999	0.001
rs2069772 lBF = `2.80006` Chr`4` : `123,373,133`	0.000	0.999	0.001
rs2172802 lBF = `-0.034578` Chr`4` : `62,453,209`	0.001	0.999	0.000
rs72689147 lBF = `18.2481` Chr`4` : `156,639,888`	0.000	0.999	0.001
rs12108452 lBF = `9.62296` Chr`4` : `95,300,688`	0.001	0.999	0.000
rs2715502 lBF = `0.81263` Chr`4` : `179,447,733`	0.000	0.999	0.001
rs4862046 lBF = `0.0726937` Chr`4` : `183,300,614`	0.001	0.999	0.000
rs1135642 lBF = `0.0376006` Chr`4` : `77,953,009`	0.001	0.999	0.000
rs549280 lBF = `-0.0396038` Chr`4` : `74,971,196`	0.001	0.999	0.000
rs17000647 lBF = `-0.0100681` Chr`4` : `76,481,730`	0.001	0.999	0.000
rs11059 lBF = `15.2196` Chr`4` : `151,185,651`	0.001	0.999	0.000
rs143750764 lBF = `1.4386` Chr`4` : `106,934,057`	0.001	0.999	0.000
rs16839553 lBF = `0.0887069` Chr`4` : `7,018,185`	0.000	0.999	0.001
rs17054392 lBF = `0.0005003` Chr`4` : `169,530,258`	0.001	0.999	0.000
rs1550057 lBF = `-0.0171744` Chr`4` : `142,117,424`	0.001	0.999	0.000
rs1851024 lBF = `0.0225623` Chr`4` : `72,707,821`	0.000	0.999	0.001
rs294777 lBF = `0.00107084` Chr`4` : `69,682,471`	0.001	0.999	0.000
rs1008728 lBF = `8.41444` Chr`4` : `187,226,673`	0.001	0.999	0.000
rs4508864 lBF = `-0.0245384` Chr`4` : `155,481,289`	0.001	0.999	0.000
rs7439150 lBF = `-0.0329472` Chr`4` : `155,481,541`	0.001	0.999	0.000
rs114070671 lBF = `0.00049337` Chr`4` : `41,056,716`	0.001	0.999	0.000
rs72698613 lBF = `-0.00925623` Chr`4` : `176,008,218`	0.000	0.999	0.001
rs2391518 lBF = `-0.0634192` Chr`4` : `130,817,060`	0.001	0.999	0.000
rs1494950 lBF = `0.0153812` Chr`4` : `14,967,169`	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

0.3293

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9852

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9471

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.9414

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.9232

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8884

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8869

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8820

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8744

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8578

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8503

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8345

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8053

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7942

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7845

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7824

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7822

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.7705

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.7609

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7464

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7386

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7192

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7189

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7176

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7128

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7013

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6783

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6717

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6499

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6447

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.6202

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6145

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6065

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6027

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6006

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5970

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5685

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5580

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5471

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5471

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5403

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5319

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5259

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5085

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5026

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4995

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4962

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4877

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4870

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4846

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4411

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.4367

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4360

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4228

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4165

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.4160

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4151

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3998

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3966

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3803

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3802

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.3780

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3619

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.3616

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3590

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3532

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3456

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3427

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3380

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3360

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.3355

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3331

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3321

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3300

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3110

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3064

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3019

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2892

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2838

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2718

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2687

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2454

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2403

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.2322

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2264

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2263

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.2262

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2213

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.2190

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2181

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2152

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2103

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.2096

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2082

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2072

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1976

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1976

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1936

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1882

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1847

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1832

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1826

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1791

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1779

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1735

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1685

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.1568

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1561

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1511

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1501

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1453

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.1424

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1413

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1274

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1264

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1254

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1199

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1174

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1117

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1116

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.1112

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1102

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1054

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1035

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1017

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0998

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0995

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0927

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.0911

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0908

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0903

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.0861

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0847

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.0826

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.0811

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0794

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0784

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.0766

Cluster X0310

log Bayes Factor = 6.9165

contains 1 variants

0.0685

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.0658

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0637

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0633

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.0629

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0624

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0619

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.0606

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0563

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0505

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`)