TreeWAS – [M70.48] Prepatellar bursitis-Other

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
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.675	0.325	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.648	0.352	0.000
rs78446584 lBF = `7.86467` Chr`2` : `130,663,894`	0.638	0.362	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.634	0.365	0.000
rs9468877 lBF = `43.2627` Chr`6` : `31,142,903`	0.629	0.371	0.000
rs2596573 lBF = `68.1198` Chr`6` : `31,347,930`	0.000	0.393	0.607
rs2905722 lBF = `89.046` Chr`6` : `31,449,327`	0.000	0.412	0.587
rs2736177 lBF = `114.154` Chr`6` : `31,586,094`	0.000	0.425	0.575
rs760293 lBF = `114.081` Chr`6` : `31,611,777`	0.000	0.425	0.575
rs2857600 lBF = `118.19` Chr`6` : `31,582,287`	0.000	0.425	0.574
Affx-28459705 lBF = `94.4448` Chr`6` : `31,555,130`	0.000	0.427	0.573
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.563	0.436	0.000
rs3132469 lBF = `98.3432` Chr`6` : `31,456,567`	0.000	0.441	0.559
rs2857609 lBF = `110.666` Chr`6` : `31,577,825`	0.000	0.444	0.556
rs3095238 lBF = `53.469` Chr`6` : `31,161,210`	0.000	0.445	0.555
rs3130071 lBF = `117.396` Chr`6` : `31,594,628`	0.000	0.448	0.551
rs1265155 lBF = `92.2507` Chr`6` : `31,143,694`	0.546	0.454	0.000
rs9267576 lBF = `125.094` Chr`6` : `31,812,038`	0.000	0.455	0.545
rs1521 lBF = `67.6085` Chr`6` : `31,350,704`	0.000	0.457	0.543
rs74880545 lBF = `7.69301` Chr`21` : `29,997,493`	0.543	0.457	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.542	0.458	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.540	0.459	0.000
rs3094609 lBF = `52.5171` Chr`6` : `31,165,566`	0.000	0.460	0.540
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.540	0.460	0.000
rs3130050 lBF = `110.889` Chr`6` : `31,618,761`	0.000	0.460	0.540
rs74747509 lBF = `13.8375` Chr`2` : `167,581,121`	0.539	0.461	0.000
rs3131638 lBF = `73.433` Chr`6` : `31,475,127`	0.000	0.464	0.536
rs3871248 lBF = `93.9006` Chr`6` : `31,145,991`	0.530	0.470	0.000
rs72806763 lBF = `12.2275` Chr`5` : `143,010,337`	0.529	0.471	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.523	0.477	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.522	0.478	0.000
rs3868542 lBF = `95.0799` Chr`6` : `31,145,839`	0.519	0.481	0.000
rs3134899 lBF = `68.5162` Chr`6` : `31,473,286`	0.000	0.487	0.513
rs1396485 lBF = `3.58056` Chr`5` : `115,512,352`	0.511	0.488	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.509	0.490	0.000
rs10484566 lBF = `17.6082` Chr`6` : `32,835,258`	0.509	0.491	0.000
rs77268492 lBF = `15.5722` Chr`10` : `95,315,221`	0.507	0.493	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.506	0.494	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.500	0.500	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.499	0.501	0.000
rs12124584 lBF = `5.64978` Chr`1` : `112,294,010`	0.499	0.501	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	0.501	0.498
rs7382297 lBF = `54.9374` Chr`6` : `31,247,067`	0.000	0.502	0.498
rs76614693 lBF = `15.2282` Chr`2` : `167,813,566`	0.497	0.503	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.497	0.503	0.000
rs3134604 lBF = `138.673` Chr`6` : `32,122,386`	0.000	0.504	0.496
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.495	0.504	0.000
rs9275184 lBF = `339.999` Chr`6` : `32,654,714`	0.494	0.506	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.494	0.506	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.493	0.507	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.492	0.508	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.488	0.511	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.488	0.512	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.488	0.512	0.000
rs2242656 lBF = `103.123` Chr`6` : `31,614,102`	0.000	0.514	0.486
rs34638952 lBF = `0.705046` Chr`17` : `27,537,410`	0.486	0.514	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.485	0.515	0.000
rs73165246 lBF = `10.4101` Chr`3` : `164,952,146`	0.485	0.515	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.484	0.516	0.000
rs79722283 lBF = `12.398` Chr`2` : `56,869,337`	0.481	0.519	0.000
rs7381988 lBF = `44.4095` Chr`6` : `31,246,703`	0.000	0.520	0.480
rs11051689 lBF = `13.3747` Chr`12` : `32,084,827`	0.480	0.520	0.000
rs117754643 lBF = `10.4271` Chr`6` : `134,436,451`	0.480	0.520	0.000
rs11955513 lBF = `5.12159` Chr`5` : `74,336,883`	0.479	0.520	0.000
rs2857151 lBF = `32.4317` Chr`6` : `32,763,514`	0.479	0.520	0.000
rs17010785 lBF = `11.2492` Chr`1` : `221,965,204`	0.478	0.522	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.477	0.523	0.000
rs2534674 lBF = `90.8041` Chr`6` : `31,465,103`	0.000	0.524	0.476
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.476	0.524	0.000
rs12036282 lBF = `8.24939` Chr`1` : `221,951,794`	0.473	0.526	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.473	0.527	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.472	0.528	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.471	0.529	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.471	0.529	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.470	0.530	0.000
rs9275532 lBF = `333.93` Chr`6` : `32,675,634`	0.470	0.530	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.469	0.531	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.465	0.535	0.000
rs28498059 lBF = `51.9392` Chr`6` : `31,240,353`	0.000	0.535	0.465
rs154982 lBF = `8.1119` Chr`6` : `32,880,545`	0.462	0.537	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.462	0.538	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.462	0.538	0.000
rs4603427 lBF = `11.9779` Chr`13` : `40,725,689`	0.461	0.539	0.000
rs3132499 lBF = `50.6464` Chr`6` : `31,207,920`	0.000	0.539	0.461
rs3957146 lBF = `341.478` Chr`6` : `32,681,530`	0.461	0.539	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.460	0.539	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.460	0.540	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.460	0.540	0.000
rs9273076 lBF = `225.981` Chr`6` : `32,612,301`	0.460	0.540	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.459	0.541	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.458	0.542	0.000
rs154986 lBF = `7.80019` Chr`6` : `32,879,233`	0.458	0.542	0.000
rs9501234 lBF = `7.85737` Chr`6` : `32,876,049`	0.457	0.543	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.457	0.543	0.000
rs9275334 lBF = `329.259` Chr`6` : `32,667,107`	0.457	0.543	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.456	0.544	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.456	0.544	0.000
rs3130952 lBF = `49.8923` Chr`6` : `31,177,915`	0.000	0.544	0.456
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.456	0.544	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.456	0.544	0.000
rs7454108 lBF = `345.123` Chr`6` : `32,681,483`	0.456	0.544	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.455	0.545	0.000
rs3998159 lBF = `336.331` Chr`6` : `32,682,019`	0.455	0.545	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.454	0.546	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.453	0.546	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.453	0.547	0.000
rs114215172 lBF = `73.1539` Chr`6` : `31,381,062`	0.453	0.547	0.000
rs4349859 lBF = `84.4382` Chr`6` : `31,365,787`	0.453	0.547	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.453	0.547	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.453	0.547	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.453	0.547	0.000
rs115130140 lBF = `86.1904` Chr`6` : `31,410,537`	0.452	0.548	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.452	0.548	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.451	0.549	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.450	0.550	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.450	0.550	0.000
rs116255593 lBF = `80.2296` Chr`6` : `31,412,447`	0.449	0.550	0.000
rs115326349 lBF = `79.973` Chr`6` : `31,386,518`	0.449	0.550	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.449	0.551	0.000
rs154983 lBF = `7.7235` Chr`6` : `32,880,445`	0.449	0.551	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.449	0.551	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.449	0.551	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.449	0.551	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.448	0.552	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.448	0.552	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.447	0.553	0.000
rs4679325 lBF = `5.12509` Chr`3` : `126,741,478`	0.446	0.553	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.446	0.554	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.446	0.554	0.000
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.445	0.555	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.444	0.555	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.444	0.556	0.000
rs118159639 lBF = `8.71994` Chr`7` : `133,175,336`	0.444	0.556	0.000
rs78723060 lBF = `8.61938` Chr`6` : `15,296,993`	0.444	0.556	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.443	0.557	0.000
rs9273401 lBF = `339.214` Chr`6` : `32,627,129`	0.442	0.558	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.442	0.558	0.000
rs9271640 lBF = `222.488` Chr`6` : `32,592,200`	0.442	0.558	0.000
rs10506458 lBF = `2.80462` Chr`12` : `63,445,092`	0.441	0.558	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.440	0.559	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.439	0.560	0.000
rs116609675 lBF = `13.7421` Chr`2` : `21,479,113`	0.439	0.561	0.000
rs9269878 lBF = `212.626` Chr`6` : `32,550,876`	0.000	0.561	0.439
rs115408371 lBF = `85.6133` Chr`6` : `31,426,248`	0.438	0.561	0.000
rs7952138 lBF = `5.64808` Chr`11` : `118,953,952`	0.438	0.561	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.438	0.562	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.437	0.562	0.000
rs17200414 lBF = `82.2581` Chr`6` : `31,417,136`	0.437	0.562	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.437	0.563	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.437	0.563	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.437	0.563	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.437	0.563	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.437	0.563	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.436	0.564	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.436	0.564	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.435	0.564	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.435	0.564	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.435	0.565	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.435	0.565	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.435	0.565	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.434	0.565	0.000
rs4148870 lBF = `111.309` Chr`6` : `32,806,391`	0.434	0.566	0.000
rs116488202 lBF = `90.3694` Chr`6` : `31,344,916`	0.434	0.566	0.000
rs117377944 lBF = `9.01444` Chr`6` : `113,901,414`	0.434	0.566	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.434	0.566	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.434	0.566	0.000
rs72704332 lBF = `9.97056` Chr`9` : `8,864,848`	0.434	0.566	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.433	0.567	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.433	0.567	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.433	0.567	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.433	0.567	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.432	0.568	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.432	0.568	0.000
rs9275356 lBF = `346.337` Chr`6` : `32,667,850`	0.431	0.569	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.431	0.569	0.000
rs73537455 lBF = `15.0818` Chr`19` : `19,299,431`	0.431	0.569	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.431	0.569	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.431	0.569	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.430	0.570	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.430	0.570	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.429	0.571	0.000
rs1704996 lBF = `30.724` Chr`6` : `33,182,895`	0.429	0.571	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.429	0.571	0.000
rs9269797 lBF = `215.504` Chr`6` : `32,549,284`	0.000	0.571	0.429
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.428	0.572	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.428	0.572	0.000
rs115660274 lBF = `85.1031` Chr`6` : `31,409,802`	0.428	0.572	0.000
rs7011581 lBF = `17.2432` Chr`8` : `9,000,465`	0.428	0.572	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.427	0.572	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.427	0.573	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.427	0.573	0.000
rs9948 lBF = `1.28624` Chr`2` : `97,500,800`	0.427	0.573	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.427	0.573	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.427	0.573	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.426	0.574	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.426	0.574	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.425	0.574	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.425	0.575	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.425	0.575	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.424	0.575	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.424	0.576	0.000
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.424	0.576	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.424	0.576	0.000
rs78716205 lBF = `12.6616` Chr`13` : `73,832,307`	0.424	0.576	0.000
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Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.416	0.583	0.000
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rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.393	0.607	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.393	0.607	0.000
rs10498529 lBF = `6.78445` Chr`14` : `69,770,690`	0.392	0.607	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.392	0.607	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.392	0.607	0.000
rs3130279 lBF = `158.281` Chr`6` : `32,112,626`	0.000	0.608	0.392
rs11001678 lBF = `14.7621` Chr`10` : `77,955,610`	0.392	0.608	0.000
rs36192217 lBF = `213.352` Chr`6` : `32,522,339`	0.000	0.608	0.392
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.392	0.608	0.000
rs114803361 lBF = `20.51` Chr`4` : `170,788,949`	0.392	0.608	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.392	0.608	0.000
rs11757500 lBF = `15.0523` Chr`6` : `32,449,655`	0.391	0.608	0.001
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.392	0.608	0.000
rs138451097 lBF = `4.82435` Chr`19` : `2,873,629`	0.391	0.608	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.391	0.608	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.391	0.608	0.000
rs62078063 lBF = `17.445` Chr`17` : `34,286,452`	0.391	0.608	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.391	0.609	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.391	0.609	0.000
rs9271366 lBF = `229.528` Chr`6` : `32,586,854`	0.391	0.609	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.391	0.609	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.391	0.609	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.391	0.609	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.391	0.609	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.391	0.609	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.391	0.609	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.390	0.609	0.000
rs9273489 lBF = `297.232` Chr`6` : `32,628,189`	0.390	0.609	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.390	0.609	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.390	0.610	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.390	0.610	0.000
rs143192258 lBF = `18.3741` Chr`11` : `56,954,985`	0.390	0.610	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.390	0.610	0.000
rs11225148 lBF = `8.19694` Chr`11` : `102,009,280`	0.390	0.610	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.390	0.610	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.390	0.610	0.000
rs3129889 lBF = `208.68` Chr`6` : `32,413,545`	0.000	0.610	0.390
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.390	0.610	0.000
rs75697640 lBF = `11.8685` Chr`5` : `61,428,150`	0.389	0.610	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.389	0.610	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.389	0.610	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.389	0.611	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.389	0.611	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.389	0.611	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.389	0.611	0.000
rs113866213 lBF = `6.92983` Chr`10` : `107,789,906`	0.389	0.611	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.389	0.611	0.000
rs3135350 lBF = `216.139` Chr`6` : `32,392,981`	0.389	0.611	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.389	0.611	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.389	0.611	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.389	0.611	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.389	0.611	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.388	0.611	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.388	0.612	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.388	0.612	0.000
rs112765961 lBF = `20.7661` Chr`20` : `17,867,605`	0.388	0.612	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.388	0.612	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.388	0.612	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.388	0.612	0.000
rs77345130 lBF = `9.73262` Chr`3` : `163,126,687`	0.388	0.612	0.000
rs76796201 lBF = `14.1948` Chr`12` : `23,091,755`	0.388	0.612	0.000
rs60129738 lBF = `6.96634` Chr`2` : `28,328,311`	0.388	0.612	0.000
rs1800684 lBF = `146.577` Chr`6` : `32,151,994`	0.000	0.612	0.388
rs9270022 lBF = `213.905` Chr`6` : `32,553,142`	0.000	0.612	0.388
rs2517613 lBF = `243.064` Chr`6` : `30,165,662`	0.388	0.612	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.388	0.612	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.387	0.612	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.387	0.612	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.387	0.612	0.000
rs41267649 lBF = `27.6616` Chr`6` : `33,384,473`	0.387	0.612	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.387	0.613	0.000
rs17151324 lBF = `13.5138` Chr`5` : `123,531,038`	0.387	0.613	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.387	0.613	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.387	0.613	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.387	0.613	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.387	0.613	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.387	0.613	0.000
rs117809070 lBF = `22.8902` Chr`8` : `67,282,208`	0.386	0.613	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.386	0.614	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.386	0.614	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.386	0.614	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.386	0.614	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.386	0.614	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.386	0.614	0.000
rs117549422 lBF = `15.8527` Chr`19` : `3,415,481`	0.385	0.614	0.000
rs4282914 lBF = `11.1942` Chr`10` : `132,944,564`	0.385	0.615	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.385	0.615	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.385	0.615	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.385	0.615	0.000
rs12660817 lBF = `9.11468` Chr`6` : `31,336,757`	0.385	0.615	0.000
rs141216273 lBF = `13.268` Chr`2` : `25,599,172`	0.385	0.615	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.384	0.615	0.000
rs8005334 lBF = `6.47865` Chr`14` : `79,563,654`	0.384	0.615	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.384	0.616	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7160

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7152

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6887

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6860

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6759

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6737

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6723

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6659

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6657

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6641

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6635

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6615

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6556

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6534

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6482

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6409

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6402

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6356

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6346

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6331

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6326

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6321

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6310

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6293

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6274

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6245

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6243

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.6238

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6232

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6206

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6166

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6098

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6058

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6026

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6009

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5957

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5896

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5869

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5865

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5850

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5834

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.5825

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5745

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5725

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5689

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5605

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.5593

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.5580

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5573

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5571

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5545

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5544

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5527

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5481

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5464

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5458

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.5456

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5320

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5319

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.5317

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5310

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5304

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5302

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5291

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5276

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5271

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5252

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5231

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5228

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5216

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5210

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5174

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5173

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5132

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5131

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5071

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5057

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5041

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5036

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5028

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5020

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5016

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5008

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4995

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4995

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4968

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4930

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4912

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4912

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4899

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4831

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4828

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4826

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4791

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4782

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.4779

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4768

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4753

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4753

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4739

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4726

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4718

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4714

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4707

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4701

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4694

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4688

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4633

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4626

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4626

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4614

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4581

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4560

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4541

Cluster X0211

log Bayes Factor = 15.2995

contains 2 variants

0.4530

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4497

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4467

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4420

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4409

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4372

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4372

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4357

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4339

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4336

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.4300

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4237

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4225

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.4213

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.4190

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4089

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4085

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4079

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4060

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4003

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3999

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3997

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3984

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3973

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3957

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3951

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3943

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.3942

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3938

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3928

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3883

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3880

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3877

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3858

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.3838

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.3819

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3819

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3771

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3771

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.3762

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3741

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3733

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3693

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.3672

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.3646

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3599

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3595

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3580

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3575

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3567

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3558

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3440

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3434

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3335

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3306

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3233

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3229

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.3226

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3211

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.3163

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3151

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.3028

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3001

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2983

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2976

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2969

Cluster X0035

log Bayes Factor = 620.567

contains 37 variants

0.2758

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2752

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2723

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2690

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2684

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2681

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.2672

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.2626

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.2584

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.2427

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2378

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.2326

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2267

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2258

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2256

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2202

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2147

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2103

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2004

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1954

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.1834

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1826

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1772

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1742

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.1724

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1648

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1617

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1443

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1298

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1095

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1031

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1008

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0988

Cluster X0114

log Bayes Factor = 510.917

contains 25 variants

0.0940

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0927

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0920

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0830

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0703

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0610

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0596

Cluster X0179

log Bayes Factor = 426.274

contains 17 variants

0.0590

Cluster X0309

log Bayes Factor = 222.015

contains 4 variants

0.0574

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`)