TreeWAS – [N02.8] 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
rs12898290 lBF = `8.08103` Chr`15` : `31,294,343`	0.858	0.142	0.000
rs12378793 lBF = `6.11146` Chr`9` : `79,613,935`	0.849	0.151	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.000	0.167	0.833
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.826	0.174	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.824	0.176	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.806	0.194	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.778	0.222	0.000
rs116821480 lBF = `12.384` Chr`2` : `165,547,969`	0.776	0.224	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.754	0.246	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.754	0.246	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.752	0.248	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.740	0.259	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.727	0.273	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.723	0.277	0.000
rs3107575 lBF = `3.18466` Chr`3` : `165,345,201`	0.719	0.281	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.710	0.290	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.705	0.295	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.701	0.299	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.701	0.299	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.697	0.303	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.686	0.314	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.684	0.316	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.683	0.317	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.679	0.321	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.678	0.322	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.676	0.324	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.676	0.324	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.675	0.325	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.000	0.331	0.669
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.000	0.336	0.664
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.659	0.341	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.659	0.341	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.658	0.342	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.655	0.345	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.654	0.345	0.000
rs16975050 lBF = `1.76679` Chr`18` : `39,187,170`	0.654	0.346	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.653	0.347	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.001	0.347	0.652
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.000	0.351	0.649
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.648	0.352	0.000
rs150081574 lBF = `13.0355` Chr`10` : `63,565,352`	0.647	0.353	0.000
rs6000782 lBF = `1.85982` Chr`22` : `37,928,186`	0.645	0.355	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.644	0.356	0.000
rs1636352 lBF = `6.48071` Chr`7` : `149,112,189`	0.640	0.360	0.000
rs4660808 lBF = `1.09854` Chr`1` : `40,018,509`	0.640	0.360	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.640	0.360	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.639	0.361	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.633	0.367	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.632	0.368	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.627	0.373	0.000
rs115594565 lBF = `14.4329` Chr`2` : `43,372,385`	0.624	0.376	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.624	0.376	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.620	0.380	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.620	0.380	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.620	0.380	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.618	0.382	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.618	0.382	0.000
rs117437287 lBF = `16.5299` Chr`12` : `23,389,839`	0.616	0.384	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.616	0.384	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.615	0.385	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.614	0.386	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.614	0.386	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.613	0.387	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.613	0.387	0.000
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.000	0.387	0.613
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.613	0.387	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.610	0.390	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.609	0.390	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.607	0.393	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.607	0.393	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.607	0.393	0.000
rs11252681 lBF = `8.19749` Chr`10` : `530,775`	0.604	0.396	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.604	0.396	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.603	0.396	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.603	0.397	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.603	0.397	0.000
rs12573242 lBF = `16.2215` Chr`10` : `75,344,929`	0.599	0.401	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.597	0.403	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.596	0.404	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.596	0.404	0.000
rs1896531 lBF = `6.41582` Chr`10` : `126,581,891`	0.596	0.404	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.594	0.406	0.000
rs7569072 lBF = `20.5447` Chr`2` : `212,368,252`	0.593	0.407	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.593	0.407	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.591	0.409	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.590	0.410	0.000
rs11575839 lBF = `13.4374` Chr`6` : `31,557,791`	0.590	0.410	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.589	0.411	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.588	0.412	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.588	0.412	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.588	0.412	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.587	0.413	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.587	0.413	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.586	0.414	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.586	0.414	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.585	0.415	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.583	0.417	0.000
rs1794265 lBF = `3.16254` Chr`6` : `32,674,737`	0.582	0.418	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.580	0.420	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.578	0.422	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.578	0.422	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.000	0.422	0.578
rs61735289 lBF = `10.6259` Chr`17` : `73,747,128`	0.577	0.423	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.576	0.424	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.576	0.424	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.575	0.425	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.575	0.425	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.575	0.425	0.000
rs72801595 lBF = `19.2579` Chr`10` : `70,718,527`	0.575	0.425	0.000
rs34640515 lBF = `10.3518` Chr`19` : `58,401,317`	0.573	0.427	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.572	0.428	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.572	0.428	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.571	0.429	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.571	0.429	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.571	0.429	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.570	0.430	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.569	0.431	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.569	0.431	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.569	0.431	0.000
rs12193769 lBF = `17.5346` Chr`6` : `160,261,363`	0.568	0.432	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.567	0.433	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.566	0.434	0.000
rs10931898 lBF = `8.93071` Chr`2` : `201,171,191`	0.565	0.435	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.564	0.436	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.564	0.436	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.563	0.436	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.562	0.438	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.561	0.439	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.561	0.439	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.561	0.439	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.559	0.441	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.559	0.441	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.557	0.443	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.557	0.443	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.556	0.444	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.556	0.444	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.556	0.444	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.555	0.445	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.554	0.446	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.553	0.446	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.553	0.447	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.553	0.447	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.553	0.447	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.552	0.447	0.000
rs11946166 lBF = `19.0163` Chr`4` : `158,034,727`	0.552	0.448	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.551	0.448	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.551	0.449	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	0.551	0.449	0.000
rs11880316 lBF = `2.78694` Chr`19` : `31,911,129`	0.551	0.449	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.550	0.450	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.550	0.450	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.549	0.450	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.549	0.451	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.548	0.452	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.548	0.452	0.000
rs62135510 lBF = `12.1801` Chr`2` : `46,470,686`	0.548	0.452	0.000
rs12867435 lBF = `19.0079` Chr`13` : `76,828,392`	0.547	0.453	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.547	0.453	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.543	0.457	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.543	0.457	0.000
rs35048777 lBF = `13.7061` Chr`13` : `77,288,433`	0.542	0.458	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.542	0.458	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.541	0.458	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.541	0.459	0.000
rs34265079 lBF = `11.1494` Chr`19` : `28,577,342`	0.541	0.459	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.541	0.459	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.540	0.459	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.539	0.460	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.539	0.460	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.539	0.461	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.539	0.461	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.538	0.462	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.538	0.462	0.000
rs3129720 lBF = `342.091` Chr`6` : `32,663,631`	0.538	0.462	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.538	0.462	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.537	0.463	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.536	0.464	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.535	0.465	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.535	0.465	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.535	0.465	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.534	0.466	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.534	0.466	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.532	0.468	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.531	0.468	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.531	0.469	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.000	0.469	0.531
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.530	0.470	0.000
rs74203920 lBF = `13.9618` Chr`21` : `45,714,294`	0.530	0.470	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.530	0.470	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.529	0.470	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.529	0.471	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.528	0.472	0.000
rs11000217 lBF = `22.1666` Chr`10` : `73,964,243`	0.528	0.472	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.528	0.472	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.527	0.473	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.526	0.474	0.000
rs57697678 lBF = `5.12408` Chr`7` : `149,375,247`	0.526	0.474	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.525	0.475	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.525	0.475	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.525	0.475	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.524	0.476	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.524	0.476	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.523	0.476	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.523	0.477	0.000
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rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.460	0.540	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.460	0.540	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.460	0.540	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.460	0.540	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.460	0.540	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.459	0.541	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.459	0.541	0.000
rs3852213 lBF = `14.0208` Chr`6` : `28,732,364`	0.459	0.541	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.459	0.541	0.000
rs1014552 lBF = `15.2389` Chr`4` : `25,108,270`	0.459	0.541	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.458	0.541	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.459	0.541	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.000	0.541	0.458
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.458	0.542	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.458	0.542	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.457	0.542	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.457	0.543	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.457	0.543	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.457	0.543	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.457	0.543	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.456	0.544	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.456	0.544	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.456	0.544	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.456	0.544	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.456	0.544	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.456	0.544	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.456	0.544	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.455	0.544	0.000
rs74385618 lBF = `11.915` Chr`5` : `62,522,666`	0.455	0.545	0.000
rs11872184 lBF = `3.70756` Chr`18` : `2,739,733`	0.455	0.545	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.455	0.545	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.454	0.546	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.454	0.546	0.000
rs74608138 lBF = `14.7458` Chr`3` : `103,241,467`	0.454	0.546	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.454	0.546	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.454	0.546	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.453	0.547	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.453	0.547	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.453	0.547	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.453	0.547	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.453	0.547	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.453	0.547	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.453	0.547	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.452	0.547	0.000
rs7766599 lBF = `23.5091` Chr`6` : `28,703,432`	0.452	0.547	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.452	0.548	0.000
rs116940348 lBF = `13.3076` Chr`10` : `22,581,581`	0.452	0.548	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.452	0.548	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.452	0.548	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.452	0.548	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.451	0.549	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.451	0.549	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.451	0.549	0.000
rs78395048 lBF = `13.3551` Chr`18` : `50,372,363`	0.451	0.549	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.451	0.549	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.000	0.549	0.451
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.451	0.549	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.451	0.549	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.450	0.549	0.000
rs75363655 lBF = `22.4716` Chr`4` : `13,285,624`	0.450	0.550	0.000
rs144560641 lBF = `4.48499` Chr`14` : `86,336,504`	0.450	0.550	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.449	0.551	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.449	0.551	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.449	0.551	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.449	0.551	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.448	0.551	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.448	0.552	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.448	0.552	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.448	0.552	0.000
rs7751451 lBF = `15.1442` Chr`6` : `28,752,883`	0.448	0.552	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.447	0.552	0.000
rs72630661 lBF = `19.6221` Chr`8` : `38,329,982`	0.447	0.552	0.000
rs295891 lBF = `12.2585` Chr`17` : `35,117,132`	0.447	0.553	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.000	0.553	0.446
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.446	0.553	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.446	0.553	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.446	0.553	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.446	0.554	0.000
rs3750718 lBF = `10.9739` Chr`10` : `101,835,508`	0.446	0.554	0.000
rs77455275 lBF = `13.8714` Chr`1` : `24,627,899`	0.446	0.554	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.445	0.554	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.445	0.555	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.445	0.555	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.445	0.555	0.000
rs3916765 lBF = `217.868` Chr`6` : `32,685,550`	0.445	0.555	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.444	0.556	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.444	0.556	0.000
rs17285856 lBF = `11.0573` Chr`4` : `104,262,333`	0.444	0.556	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.443	0.556	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.443	0.557	0.000
rs11216131 lBF = `3.37882` Chr`11` : `116,633,580`	0.442	0.558	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.442	0.558	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.442	0.558	0.000
rs116369954 lBF = `16.6039` Chr`10` : `114,793,572`	0.442	0.558	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

0.2572

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1534

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9698

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9465

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9320

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9299

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9168

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9056

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9052

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8987

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8698

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8548

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8473

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8419

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8388

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.8355

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.8344

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8306

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8275

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8202

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8164

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8056

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8044

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8001

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7924

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7839

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7818

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7796

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7527

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7435

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7375

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7321

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7316

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7296

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7248

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.7245

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7143

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7142

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7037

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7015

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6936

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6900

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6857

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6833

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6799

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6666

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.6638

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6608

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6602

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6590

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6559

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6548

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.6542

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6538

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6537

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6488

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6484

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6452

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6445

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6435

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6385

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6191

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6057

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5967

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5939

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5900

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5836

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5798

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5769

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5761

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5666

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.5568

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5551

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5547

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5502

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5423

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5387

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5287

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5216

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5180

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5124

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4910

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4869

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4769

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4737

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4734

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4710

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4675

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4658

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4589

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.4509

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4387

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4363

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4343

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4329

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4268

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4226

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4209

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4202

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.4140

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4120

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4081

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4022

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3912

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3889

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3796

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3753

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3641

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3629

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.3583

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3502

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3491

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3430

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3419

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3362

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3068

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3011

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2992

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2961

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2940

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2931

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2927

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2881

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.2879

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2766

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2658

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2656

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2631

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2606

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2595

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2582

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2576

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2531

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2461

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2393

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.2309

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2121

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2041

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2039

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1954

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1767

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1609

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1495

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1431

Cluster X0025

log Bayes Factor = 70.9244

contains 5 variants

0.1411

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1045

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0972

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0946

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.0918

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0909

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0909

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0817

Cluster X0151

log Bayes Factor = 39.6689

contains 3 variants

0.0732

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0589

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0575

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`)