TreeWAS – [S83.2] Tear of meniscus, current

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
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.886	0.114	0.000
rs62331196 lBF = `13.0231` Chr`4` : `105,185,596`	0.755	0.245	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.739	0.261	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.733	0.267	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.710	0.290	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.703	0.297	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.690	0.310	0.000
rs17212303 lBF = `4.19798` Chr`4` : `182,571,619`	0.687	0.313	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.682	0.318	0.000
rs17278117 lBF = `2.74174` Chr`4` : `182,568,250`	0.674	0.326	0.000
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.639	0.361	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.637	0.363	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.631	0.369	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.624	0.376	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.622	0.378	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.616	0.384	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.610	0.390	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.609	0.391	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.604	0.396	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.597	0.403	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.596	0.404	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.587	0.413	0.000
rs115043143 lBF = `13.8566` Chr`4` : `29,985,599`	0.578	0.422	0.000
rs80320220 lBF = `9.08148` Chr`4` : `142,973,823`	0.575	0.424	0.000
rs201958930 lBF = `1.66444` Chr`4` : `59,737,471`	0.566	0.434	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.563	0.437	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.551	0.449	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.550	0.450	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.548	0.452	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.547	0.453	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.541	0.459	0.000
rs11735066 lBF = `5.27666` Chr`4` : `53,298,388`	0.541	0.459	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.540	0.460	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.535	0.465	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.530	0.470	0.000
rs116061333 lBF = `14.4818` Chr`4` : `157,751,111`	0.525	0.475	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.521	0.479	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.512	0.488	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.510	0.490	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.510	0.490	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.505	0.495	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.501	0.499	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.500	0.500	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.498	0.501	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.498	0.502	0.000
rs17580163 lBF = `15.9895` Chr`4` : `58,140,073`	0.496	0.503	0.000
rs12511037 lBF = `1.75425` Chr`4` : `75,334,864`	0.495	0.505	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.495	0.505	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.492	0.508	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.491	0.509	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.486	0.513	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.483	0.517	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.480	0.520	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.474	0.526	0.000
rs17051276 lBF = `18.583` Chr`4` : `120,528,064`	0.471	0.529	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.468	0.531	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.467	0.533	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.467	0.533	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.465	0.535	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.459	0.541	0.000
rs115957279 lBF = `12.0137` Chr`4` : `111,033,474`	0.455	0.545	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.452	0.548	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.452	0.548	0.000
rs78126965 lBF = `7.00211` Chr`4` : `40,437,727`	0.449	0.551	0.000
rs62346065 lBF = `7.11157` Chr`4` : `145,524,675`	0.447	0.553	0.000
rs13134336 lBF = `7.7124` Chr`4` : `68,270,725`	0.445	0.555	0.000
rs4425311 lBF = `5.55457` Chr`4` : `4,916,701`	0.445	0.555	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.443	0.557	0.000
rs79692732 lBF = `17.1773` Chr`4` : `120,458,098`	0.441	0.559	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.440	0.560	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.437	0.563	0.000
rs139214349 lBF = `3.76884` Chr`4` : `29,170,165`	0.434	0.565	0.000
rs184151593 lBF = `2.26744` Chr`4` : `59,399,993`	0.431	0.569	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.430	0.570	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.421	0.579	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.418	0.582	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.418	0.582	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.417	0.583	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.415	0.585	0.000
rs16875528 lBF = `3.20941` Chr`4` : `24,308,079`	0.413	0.587	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.411	0.589	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.411	0.589	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.409	0.591	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.407	0.593	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.406	0.594	0.000
rs112495614 lBF = `17.1906` Chr`4` : `131,085,891`	0.403	0.597	0.000
rs114481486 lBF = `15.1462` Chr`4` : `67,890,992`	0.402	0.598	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.401	0.599	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.398	0.601	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.397	0.603	0.000
rs61361928 lBF = `1.47367` Chr`4` : `69,962,375`	0.392	0.607	0.000
rs1596724 lBF = `2.76067` Chr`4` : `32,555,853`	0.392	0.608	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.391	0.609	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.390	0.610	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.379	0.620	0.000
rs114612307 lBF = `13.2744` Chr`4` : `77,275,015`	0.377	0.623	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.376	0.624	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.376	0.624	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.376	0.624	0.000
rs112920510 lBF = `7.84215` Chr`4` : `95,488,920`	0.375	0.624	0.000
rs184665953 lBF = `1.64759` Chr`4` : `46,444,334`	0.373	0.626	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.373	0.626	0.001
rs36225840 lBF = `7.99473` Chr`4` : `146,076,413`	0.373	0.627	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.372	0.628	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.370	0.630	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.368	0.632	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.366	0.634	0.000
rs6844473 lBF = `16.0482` Chr`4` : `147,368,219`	0.364	0.636	0.000
rs17439796 lBF = `16.5701` Chr`4` : `108,983,524`	0.360	0.640	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.360	0.640	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.359	0.641	0.000
rs143200770 lBF = `1.87489` Chr`4` : `167,731,888`	0.358	0.641	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.357	0.643	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.357	0.643	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.356	0.644	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.353	0.647	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.353	0.647	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.352	0.648	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.350	0.650	0.000
rs114326390 lBF = `0.810928` Chr`4` : `30,704,527`	0.344	0.656	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.344	0.656	0.000
rs113224532 lBF = `21.9139` Chr`4` : `120,311,412`	0.343	0.657	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.342	0.658	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.342	0.658	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.339	0.661	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.338	0.662	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.336	0.664	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.333	0.667	0.000
rs56279505 lBF = `20.7752` Chr`4` : `100,295,240`	0.332	0.668	0.000
rs113319671 lBF = `15.9526` Chr`4` : `30,514,952`	0.332	0.668	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.330	0.669	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.330	0.670	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.330	0.670	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.329	0.670	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.329	0.671	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.328	0.672	0.000
rs4470583 lBF = `11.3364` Chr`4` : `162,250,932`	0.000	0.674	0.326
rs143638193 lBF = `0.62416` Chr`4` : `141,500,705`	0.324	0.676	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.321	0.679	0.000
rs116080128 lBF = `12.1963` Chr`4` : `31,457,995`	0.319	0.680	0.000
rs57681851 lBF = `3.26619` Chr`4` : `2,290,698`	0.319	0.681	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.318	0.681	0.000
rs10518640 lBF = `5.62407` Chr`4` : `134,393,453`	0.317	0.683	0.000
rs13132569 lBF = `2.55457` Chr`4` : `61,603,156`	0.316	0.684	0.000
rs41427747 lBF = `0.87398` Chr`4` : `104,920,479`	0.315	0.685	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.313	0.687	0.000
rs147028191 lBF = `2.41973` Chr`4` : `46,414,112`	0.311	0.689	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.309	0.690	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.309	0.690	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.309	0.690	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.309	0.691	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.307	0.693	0.000
rs72718363 lBF = `14.5907` Chr`4` : `141,545,867`	0.307	0.693	0.000
rs78792420 lBF = `2.84412` Chr`4` : `24,778,280`	0.306	0.694	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.300	0.700	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.299	0.701	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.299	0.701	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.296	0.704	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.295	0.705	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.294	0.706	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.294	0.706	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.292	0.707	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.292	0.708	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.291	0.709	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.288	0.711	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.287	0.713	0.001
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.286	0.714	0.000
rs2333163 lBF = `3.36557` Chr`4` : `176,270,885`	0.285	0.715	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.284	0.715	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.279	0.720	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.277	0.723	0.000
rs141853578 lBF = `7.78323` Chr`4` : `110,685,820`	0.276	0.723	0.000
rs115898263 lBF = `14.9787` Chr`4` : `13,338,313`	0.276	0.724	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.275	0.725	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.273	0.726	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.273	0.726	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.272	0.728	0.000
rs75722873 lBF = `14.839` Chr`4` : `14,811,981`	0.272	0.728	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.270	0.729	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.270	0.730	0.000
rs7673183 lBF = `8.12216` Chr`4` : `123,142,270`	0.269	0.731	0.000
rs78835444 lBF = `6.92131` Chr`4` : `111,317,679`	0.265	0.734	0.000
rs111361850 lBF = `1.08712` Chr`4` : `124,663,356`	0.264	0.736	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.262	0.737	0.001
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.262	0.738	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.259	0.740	0.001
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.258	0.742	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.258	0.742	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.256	0.744	0.000
rs6856328 lBF = `1.29798` Chr`4` : `62,437,318`	0.255	0.745	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.254	0.745	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.254	0.746	0.001
rs115532833 lBF = `11.1356` Chr`4` : `99,287,466`	0.254	0.746	0.000
rs185609610 lBF = `1.07252` Chr`4` : `178,449,560`	0.254	0.746	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.254	0.746	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.253	0.747	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.252	0.748	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.249	0.751	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.248	0.751	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.241	0.759	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.240	0.760	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.239	0.761	0.000
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rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.005	0.994	0.001
rs3792615 lBF = `-0.00186372` Chr`4` : `164,532,801`	0.006	0.994	0.000
rs191279589 lBF = `0.00997814` Chr`4` : `105,605,997`	0.005	0.994	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.005	0.994	0.000
rs985746 lBF = `-0.0640613` Chr`4` : `36,831,381`	0.000	0.994	0.006
rs10022787 lBF = `8.05101` Chr`4` : `56,521,889`	0.005	0.995	0.000
rs724818 lBF = `-0.00884873` Chr`4` : `121,627,113`	0.005	0.995	0.000
rs190999252 lBF = `0.0862508` Chr`4` : `92,847,036`	0.005	0.995	0.000
rs181099388 lBF = `-0.0116624` Chr`4` : `39,462,030`	0.005	0.995	0.000
rs189421534 lBF = `0.00665442` Chr`4` : `9,592,033`	0.005	0.995	0.000
rs115641191 lBF = `0.0112616` Chr`4` : `103,054,209`	0.005	0.995	0.000
rs72728723 lBF = `0.0660869` Chr`4` : `140,520,528`	0.005	0.995	0.000
rs115257454 lBF = `0.0114577` Chr`4` : `71,008,365`	0.004	0.995	0.001
rs10033900 lBF = `-0.106383` Chr`4` : `110,659,067`	0.004	0.996	0.000
rs45475795 lBF = `2.27365` Chr`4` : `123,399,491`	0.004	0.996	0.000
rs4698014 lBF = `9.65005` Chr`4` : `10,286,301`	0.004	0.996	0.000
rs10517287 lBF = `0.0342819` Chr`4` : `33,624,702`	0.004	0.996	0.000
rs2647264 lBF = `-0.023025` Chr`4` : `106,268,594`	0.004	0.996	0.000
rs7698171 lBF = `5.08652` Chr`4` : `95,089,869`	0.004	0.996	0.000
rs10517270 lBF = `0.0591386` Chr`4` : `33,203,140`	0.004	0.996	0.000
rs7666831 lBF = `0.00553227` Chr`4` : `93,321,027`	0.003	0.996	0.000
rs491376 lBF = `0.00435815` Chr`4` : `13,116,762`	0.003	0.996	0.000
rs6446315 lBF = `0.677623` Chr`4` : `5,035,587`	0.004	0.996	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.004	0.996	0.000
rs17002253 lBF = `0.0289258` Chr`4` : `77,771,345`	0.003	0.996	0.000
rs13132933 lBF = `4.78897` Chr`4` : `123,010,587`	0.000	0.996	0.004
rs6842385 lBF = `1.57706` Chr`4` : `79,043,117`	0.003	0.996	0.000
rs4916646 lBF = `-0.0862532` Chr`4` : `11,469,730`	0.003	0.997	0.000
rs13132430 lBF = `0.0226955` Chr`4` : `100,224,070`	0.003	0.997	0.000
rs925642 lBF = `-0.0409757` Chr`4` : `187,678,866`	0.000	0.997	0.003
rs1662046 lBF = `0.026696` Chr`4` : `100,272,059`	0.000	0.997	0.003
rs11942476 lBF = `-0.0717605` Chr`4` : `21,455,257`	0.000	0.997	0.003
rs4234898 lBF = `-0.036396` Chr`4` : `156,998,541`	0.000	0.997	0.003
rs191097752 lBF = `0.0107371` Chr`4` : `106,102,991`	0.003	0.997	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.003	0.997	0.000
rs870142 lBF = `1.33645` Chr`4` : `4,648,047`	0.003	0.997	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.003	0.997	0.000
rs62324204 lBF = `-0.0091899` Chr`4` : `123,547,596`	0.003	0.997	0.000
rs4689642 lBF = `-0.0749264` Chr`4` : `7,215,322`	0.000	0.997	0.003
rs10518025 lBF = `-0.00734514` Chr`4` : `68,064,440`	0.000	0.997	0.003
rs2199936 lBF = `24.61` Chr`4` : `89,045,331`	0.000	0.997	0.003
rs140913323 lBF = `-0.00548723` Chr`4` : `125,740,709`	0.003	0.997	0.000
rs1593 lBF = `19.3299` Chr`4` : `187,195,551`	0.003	0.997	0.000
rs1789924 lBF = `3.64487` Chr`4` : `100,274,286`	0.003	0.997	0.000
rs1000579 lBF = `0.261413` Chr`4` : `4,719,494`	0.000	0.997	0.003
rs10516635 lBF = `0.0964028` Chr`4` : `118,079,907`	0.002	0.997	0.001
rs1350666 lBF = `-0.052395` Chr`4` : `75,224,590`	0.003	0.997	0.000
rs4610302 lBF = `0.190329` Chr`4` : `88,400,110`	0.003	0.997	0.000
rs1567482 lBF = `-0.0372381` Chr`4` : `36,026,747`	0.000	0.997	0.003
rs1963569 lBF = `-0.0815471` Chr`4` : `169,338,520`	0.000	0.997	0.003
rs4148155 lBF = `25.1893` Chr`4` : `89,054,667`	0.003	0.997	0.000
rs35509282 lBF = `-0.032465` Chr`4` : `163,333,405`	0.003	0.997	0.000
rs11734488 lBF = `-0.051017` Chr`4` : `139,130,133`	0.000	0.997	0.003
rs4643800 lBF = `7.7749` Chr`4` : `10,407,572`	0.003	0.997	0.000
rs4552460 lBF = `5.61812` Chr`4` : `7,863,618`	0.000	0.997	0.003
rs2859815 lBF = `-0.0158752` Chr`4` : `166,672,836`	0.000	0.997	0.003
rs16878196 lBF = `0.136306` Chr`4` : `11,115,865`	0.000	0.997	0.002
rs11732231 lBF = `0.00621864` Chr`4` : `86,683,560`	0.002	0.998	0.000
rs4148157 lBF = `13.1968` Chr`4` : `89,020,934`	0.002	0.998	0.000
rs1390096 lBF = `0.122859` Chr`4` : `11,503,604`	0.002	0.998	0.000
rs61731371 lBF = `-0.00448187` Chr`4` : `186,272,721`	0.002	0.998	0.001
rs4698023 lBF = `9.70086` Chr`4` : `10,304,726`	0.002	0.998	0.000
rs9790517 lBF = `0.915959` Chr`4` : `106,084,778`	0.002	0.998	0.000
rs17019496 lBF = `-0.0302879` Chr`4` : `145,499,028`	0.002	0.998	0.000
rs1481012 lBF = `25.0033` Chr`4` : `89,039,082`	0.002	0.998	0.000
rs17054480 lBF = `0.0248922` Chr`4` : `169,608,790`	0.002	0.998	0.000
rs4698036 lBF = `9.91432` Chr`4` : `10,331,294`	0.002	0.998	0.000
rs6832769 lBF = `-0.0648505` Chr`4` : `56,298,194`	0.002	0.998	0.000
rs10018288 lBF = `-0.0765598` Chr`4` : `182,101,689`	0.000	0.998	0.002
rs2716816 lBF = `-0.0412674` Chr`4` : `180,383,312`	0.002	0.998	0.000
rs13151961 lBF = `6.90584` Chr`4` : `123,115,502`	0.000	0.998	0.002
rs17017235 lBF = `0.0200759` Chr`4` : `91,515,265`	0.002	0.998	0.000
rs13103557 lBF = `-0.00199234` Chr`4` : `59,867,903`	0.002	0.998	0.000
rs6844153 lBF = `-0.0100247` Chr`4` : `26,944,314`	0.002	0.998	0.000
rs2231142 lBF = `25.0085` Chr`4` : `89,052,323`	0.002	0.998	0.000
rs4234848 lBF = `-0.0134081` Chr`4` : `80,850,805`	0.000	0.998	0.002
rs4074082 lBF = `-0.0154162` Chr`4` : `15,233,866`	0.002	0.998	0.000
rs1395479 lBF = `0.128762` Chr`4` : `178,318,191`	0.002	0.998	0.000
rs1027841 lBF = `0.0674262` Chr`4` : `146,769,074`	0.000	0.998	0.002
rs6841898 lBF = `0.0365922` Chr`4` : `24,578,097`	0.001	0.998	0.001
rs10018902 lBF = `0.00158585` Chr`4` : `121,862,501`	0.001	0.998	0.000
rs7700191 lBF = `-0.0216894` Chr`4` : `102,589,283`	0.000	0.998	0.002
rs183819925 lBF = `-0.0165863` Chr`4` : `176,059,277`	0.001	0.998	0.000
rs2130392 lBF = `-0.0836224` Chr`4` : `185,639,169`	0.002	0.998	0.000
rs959770 lBF = `-0.0529233` Chr`4` : `2,395,297`	0.000	0.998	0.002
rs13136331 lBF = `0.159114` Chr`4` : `88,707,081`	0.002	0.998	0.000
rs370915 lBF = `-0.0408522` Chr`4` : `187,818,256`	0.000	0.998	0.002
rs2583612 lBF = `0.312281` Chr`4` : `120,612,718`	0.002	0.998	0.000
rs62296075 lBF = `-0.0265066` Chr`4` : `1,039,215`	0.002	0.998	0.000
rs62296447 lBF = `-0.0338815` Chr`4` : `19,362,993`	0.002	0.998	0.000
rs4333127 lBF = `0.140143` Chr`4` : `5,930,033`	0.002	0.998	0.000
rs10004231 lBF = `-0.0708905` Chr`4` : `42,857,573`	0.002	0.998	0.000
rs7659062 lBF = `0.137094` Chr`4` : `189,587,079`	0.002	0.998	0.000
rs13111850 lBF = `0.0060955` Chr`4` : `168,264,249`	0.000	0.998	0.001
rs16990641 lBF = `0.00095957` Chr`4` : `35,009,208`	0.001	0.998	0.000
rs6811556 lBF = `-0.0114512` Chr`4` : `180,284,814`	0.000	0.998	0.002
rs78295376 lBF = `-0.0125619` Chr`4` : `76,495,491`	0.001	0.998	0.000
rs10805321 lBF = `-0.0381285` Chr`4` : `13,914,373`	0.001	0.998	0.000
rs2231164 lBF = `8.59394` Chr`4` : `89,015,857`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4470

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2572

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9826

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9367

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9324

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9236

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9167

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.9099

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8828

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8799

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8756

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8694

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8458

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8362

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.8335

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8312

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7877

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7723

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7662

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7586

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7357

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7336

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7326

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7161

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7075

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.7065

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6855

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6851

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6790

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6750

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6743

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6676

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6527

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6411

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6177

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6057

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5896

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.5771

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5520

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5408

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5377

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5284

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5249

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5200

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5146

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5135

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5074

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4903

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4870

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4855

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.4662

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4571

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4497

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4378

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4370

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4193

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4189

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4078

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3910

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3898

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3792

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3699

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3478

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3472

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3426

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3365

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3346

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3167

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3058

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2958

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2840

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2783

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2708

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2662

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2462

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2361

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2320

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.2281

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2265

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2134

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.2105

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2089

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2052

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2013

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1889

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1858

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1824

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1813

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1743

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1729

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1617

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1592

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1586

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1525

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1433

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1425

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1407

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1398

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1304

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1280

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1188

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.1117

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1087

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1079

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1064

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1062

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1056

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.1055

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1048

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1041

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1009

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0894

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0875

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0867

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0860

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0844

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0833

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0793

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0736

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0731

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0694

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0677

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0667

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0660

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.0646

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0620

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0611

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.0594

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.0583

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0575

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0546

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0545

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0537

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0519

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0513

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.0510

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.0508

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`)