TreeWAS – [D73.0] Hyposplenism

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
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.856	0.144	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.841	0.159	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.839	0.161	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.829	0.171	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.761	0.239	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.759	0.241	0.000
rs140295727 lBF = `16.6774` Chr`6` : `86,693,956`	0.749	0.251	0.000
rs3135339 lBF = `190.922` Chr`6` : `32,399,261`	0.748	0.252	0.000
rs3129847 lBF = `196.01` Chr`6` : `32,396,506`	0.735	0.265	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.728	0.272	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.719	0.281	0.000
rs5000563 lBF = `197.352` Chr`6` : `32,404,135`	0.717	0.283	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.709	0.291	0.000
rs983561 lBF = `196.714` Chr`6` : `32,403,655`	0.707	0.293	0.000
rs3135342 lBF = `195.973` Chr`6` : `32,396,615`	0.702	0.298	0.000
rs3763311 lBF = `203.85` Chr`6` : `32,376,176`	0.000	0.302	0.698
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.690	0.310	0.000
rs3129846 lBF = `192.704` Chr`6` : `32,396,475`	0.688	0.312	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.686	0.314	0.000
rs2894186 lBF = `140.497` Chr`6` : `31,206,868`	0.680	0.320	0.000
rs3129853 lBF = `195.43` Chr`6` : `32,398,648`	0.679	0.321	0.000
rs1793891 lBF = `283.59` Chr`6` : `31,221,698`	0.669	0.331	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.663	0.337	0.000
rs3129872 lBF = `196.328` Chr`6` : `32,407,153`	0.662	0.338	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.658	0.342	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.657	0.343	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.655	0.345	0.000
rs2246954 lBF = `124.205` Chr`6` : `31,265,262`	0.655	0.345	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.650	0.350	0.000
rs2853953 lBF = `290.388` Chr`6` : `31,235,505`	0.650	0.350	0.000
rs13210132 lBF = `111.316` Chr`6` : `31,001,143`	0.650	0.350	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.649	0.351	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.649	0.351	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.647	0.353	0.000
rs3130685 lBF = `121.177` Chr`6` : `31,206,206`	0.644	0.356	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.641	0.359	0.000
rs10484552 lBF = `60.6319` Chr`6` : `30,484,036`	0.641	0.359	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.640	0.360	0.000
rs3129876 lBF = `192.519` Chr`6` : `32,408,012`	0.639	0.361	0.000
rs2395181 lBF = `192.663` Chr`6` : `32,407,404`	0.638	0.362	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.638	0.362	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.637	0.363	0.000
rs28732080 lBF = `111.523` Chr`6` : `31,001,177`	0.636	0.364	0.000
rs9268456 lBF = `206.36` Chr`6` : `32,349,946`	0.000	0.368	0.632
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.632	0.368	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.631	0.369	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.627	0.373	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.626	0.374	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.625	0.375	0.000
rs75513936 lBF = `11.7791` Chr`6` : `22,469,034`	0.623	0.377	0.000
rs28732081 lBF = `101.638` Chr`6` : `31,002,343`	0.622	0.378	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.620	0.380	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.618	0.382	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.618	0.382	0.000
rs9268499 lBF = `201.124` Chr`6` : `32,375,695`	0.000	0.387	0.613
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.611	0.389	0.000
rs2524156 lBF = `147.433` Chr`6` : `31,260,397`	0.611	0.389	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.611	0.389	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.607	0.393	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.604	0.396	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.603	0.397	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.602	0.398	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.602	0.398	0.000
rs2517870 lBF = `101.883` Chr`6` : `29,818,744`	0.600	0.400	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	0.599	0.401	0.000
rs59440261 lBF = `89.4301` Chr`6` : `31,371,071`	0.598	0.402	0.000
rs2143462 lBF = `111.792` Chr`6` : `32,335,204`	0.598	0.402	0.000
rs652888 lBF = `121.496` Chr`6` : `31,851,234`	0.598	0.402	0.000
rs3129937 lBF = `115.647` Chr`6` : `32,336,364`	0.592	0.408	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.592	0.408	0.000
rs3129924 lBF = `114.495` Chr`6` : `32,333,299`	0.591	0.409	0.000
rs2734985 lBF = `103.334` Chr`6` : `29,818,662`	0.591	0.409	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.588	0.411	0.000
rs2734984 lBF = `103.886` Chr`6` : `29,820,831`	0.587	0.413	0.000
rs4455710 lBF = `227.625` Chr`6` : `32,608,858`	0.586	0.414	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.585	0.415	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.584	0.416	0.000
rs2143461 lBF = `117.85` Chr`6` : `32,335,347`	0.584	0.416	0.000
rs3129939 lBF = `115.58` Chr`6` : `32,336,766`	0.579	0.421	0.000
rs9268153 lBF = `114.869` Chr`6` : `32,264,179`	0.578	0.422	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.577	0.423	0.000
rs3129926 lBF = `114.929` Chr`6` : `32,333,480`	0.576	0.424	0.000
rs2734980 lBF = `103.395` Chr`6` : `29,821,896`	0.576	0.424	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.575	0.425	0.000
rs2524095 lBF = `148.829` Chr`6` : `31,266,117`	0.574	0.426	0.000
rs3129881 lBF = `192.81` Chr`6` : `32,409,484`	0.573	0.427	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.570	0.430	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.569	0.431	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.566	0.434	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.565	0.435	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.564	0.435	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.564	0.436	0.000
rs17198455 lBF = `14.304` Chr`6` : `31,229,896`	0.000	0.437	0.563
rs3129877 lBF = `191.25` Chr`6` : `32,408,597`	0.562	0.438	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.561	0.439	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.560	0.440	0.000
rs6908065 lBF = `248.402` Chr`6` : `32,383,341`	0.559	0.441	0.000
rs3129858 lBF = `193.082` Chr`6` : `32,400,520`	0.559	0.441	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.554	0.446	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.554	0.446	0.000
rs3135372 lBF = `253.556` Chr`6` : `32,385,782`	0.553	0.447	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.553	0.447	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.552	0.448	0.000
rs6913377 lBF = `13.6987` Chr`6` : `31,243,495`	0.000	0.449	0.551
rs2853933 lBF = `156.443` Chr`6` : `31,254,088`	0.551	0.449	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.550	0.450	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.550	0.450	0.000
rs3763316 lBF = `205.685` Chr`6` : `32,376,746`	0.000	0.450	0.550
rs2524163 lBF = `155.398` Chr`6` : `31,259,579`	0.549	0.451	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.549	0.451	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.548	0.451	0.000
rs2857595 lBF = `92.5025` Chr`6` : `31,568,469`	0.547	0.453	0.000
rs3135366 lBF = `253.084` Chr`6` : `32,388,709`	0.547	0.453	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.546	0.454	0.000
rs2853935 lBF = `155.153` Chr`6` : `31,253,878`	0.546	0.454	0.000
rs17884390 lBF = `13.3379` Chr`6` : `31,238,495`	0.000	0.454	0.546
rs3132947 lBF = `120.316` Chr`6` : `32,176,782`	0.545	0.455	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.545	0.455	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.545	0.455	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.545	0.455	0.000
Affx-52368559 lBF = `10.3508` Chr`6` : `31,237,764`	0.000	0.455	0.545
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	0.544	0.456	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.544	0.456	0.000
rs3817966 lBF = `198.937` Chr`6` : `32,367,847`	0.000	0.457	0.543
rs605203 lBF = `185.516` Chr`6` : `31,847,012`	0.542	0.458	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.542	0.458	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.541	0.459	0.000
rs2071465 lBF = `151.16` Chr`6` : `32,805,470`	0.540	0.460	0.000
rs3131297 lBF = `98.8204` Chr`6` : `32,141,005`	0.540	0.460	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.538	0.462	0.000
rs3135363 lBF = `65.8126` Chr`6` : `32,389,648`	0.537	0.463	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.535	0.465	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.534	0.466	0.000
rs28397309 lBF = `14.234` Chr`6` : `31,234,438`	0.000	0.467	0.533
rs6930933 lBF = `254.18` Chr`6` : `32,383,410`	0.532	0.468	0.000
rs659445 lBF = `187.083` Chr`6` : `31,864,304`	0.532	0.468	0.000
rs2395161 lBF = `254.328` Chr`6` : `32,387,752`	0.531	0.468	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.531	0.468	0.000
rs28367594 lBF = `12.4581` Chr`6` : `31,258,141`	0.000	0.469	0.531
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.531	0.469	0.000
rs7747738 lBF = `14.0303` Chr`6` : `31,230,924`	0.000	0.469	0.531
rs2187820 lBF = `254.383` Chr`6` : `32,385,873`	0.531	0.469	0.000
rs3135392 lBF = `112.468` Chr`6` : `32,409,242`	0.530	0.470	0.000
rs2001097 lBF = `255.017` Chr`6` : `32,383,858`	0.530	0.470	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.530	0.470	0.000
rs535586 lBF = `187.866` Chr`6` : `31,860,337`	0.530	0.470	0.000
rs3135375 lBF = `252.934` Chr`6` : `32,385,573`	0.530	0.470	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.529	0.471	0.000
rs2213580 lBF = `254.152` Chr`6` : `32,388,574`	0.529	0.471	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.528	0.471	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.528	0.472	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.528	0.472	0.000
rs3135378 lBF = `254.2` Chr`6` : `32,385,099`	0.528	0.472	0.000
rs6569364 lBF = `7.02344` Chr`6` : `124,158,252`	0.528	0.472	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.527	0.473	0.000
Affx-28452186 lBF = `28.6349` Chr`6` : `31,321,882`	0.000	0.474	0.526
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.526	0.474	0.000
rs28367590 lBF = `12.8821` Chr`6` : `31,251,057`	0.000	0.475	0.525
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.525	0.475	0.000
rs3096696 lBF = `97.6499` Chr`6` : `32,122,472`	0.525	0.475	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.525	0.475	0.000
rs28367569 lBF = `13.7014` Chr`6` : `31,236,102`	0.000	0.475	0.525
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.524	0.476	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.524	0.476	0.000
rs2516518 lBF = `13.8223` Chr`6` : `31,435,119`	0.000	0.477	0.523
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.523	0.477	0.000
rs114472942 lBF = `13.844` Chr`6` : `31,236,289`	0.000	0.477	0.523
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.522	0.478	0.000
rs3176007 lBF = `13.5999` Chr`6` : `31,236,845`	0.000	0.479	0.521
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.479	0.521
rs6930571 lBF = `253.113` Chr`6` : `32,383,208`	0.521	0.479	0.000
rs28397307 lBF = `14.0816` Chr`6` : `31,233,651`	0.000	0.480	0.520
rs28367687 lBF = `10.6064` Chr`6` : `31,275,211`	0.000	0.481	0.519
rs3135376 lBF = `255.205` Chr`6` : `32,385,470`	0.517	0.483	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.514	0.486	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.513	0.487	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.512	0.488	0.000
rs6936204 lBF = `229.057` Chr`6` : `32,217,092`	0.510	0.490	0.000
rs2395164 lBF = `251.794` Chr`6` : `32,387,860`	0.510	0.490	0.000
rs3096697 lBF = `98.9911` Chr`6` : `32,134,510`	0.509	0.491	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.509	0.491	0.000
rs2395167 lBF = `254.059` Chr`6` : `32,388,308`	0.509	0.491	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.508	0.492	0.000
rs2001099 lBF = `248.681` Chr`6` : `32,383,633`	0.507	0.493	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.507	0.493	0.000
rs1800629 lBF = `133.682` Chr`6` : `31,543,031`	0.505	0.495	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.504	0.496	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.501	0.499	0.000
rs1473500 lBF = `1.94868` Chr`6` : `168,511,016`	0.501	0.499	0.000
rs28367592 lBF = `12.7845` Chr`6` : `31,253,716`	0.000	0.499	0.501
rs2243868 lBF = `154.689` Chr`6` : `31,261,276`	0.500	0.500	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.499	0.501	0.000
rs3135374 lBF = `253.889` Chr`6` : `32,385,605`	0.498	0.502	0.000
rs6910668 lBF = `115.058` Chr`6` : `32,263,458`	0.498	0.502	0.000
rs28367596 lBF = `11.9036` Chr`6` : `31,259,446`	0.000	0.502	0.498
rs9268534 lBF = `250.564` Chr`6` : `32,383,307`	0.495	0.505	0.000
rs2395162 lBF = `252.734` Chr`6` : `32,387,780`	0.495	0.505	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.494	0.506	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.491	0.509	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.490	0.510	0.000
rs7759742 lBF = `255.818` Chr`6` : `32,381,736`	0.000	0.510	0.490
rs28894993 lBF = `144.276` Chr`6` : `31,289,714`	0.489	0.511	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.487	0.513	0.000
rs3130455 lBF = `310.319` Chr`6` : `31,125,978`	0.487	0.513	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.487	0.513	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.487	0.513	0.000
rs28397290 lBF = `11.5241` Chr`6` : `31,197,707`	0.000	0.514	0.486
rs1265158 lBF = `143.581` Chr`6` : `31,140,741`	0.485	0.515	0.000
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rs362521 lBF = `30.2823` Chr`6` : `29,556,759`	0.370	0.630	0.000
rs449283 lBF = `13.2139` Chr`6` : `31,937,037`	0.000	0.630	0.369
rs28780086 lBF = `29.8437` Chr`6` : `30,105,154`	0.368	0.631	0.000
rs9268428 lBF = `204.585` Chr`6` : `32,344,973`	0.000	0.632	0.368
rs3129884 lBF = `251.538` Chr`6` : `32,410,210`	0.368	0.632	0.000
rs28986317 lBF = `61.8683` Chr`6` : `30,671,989`	0.368	0.632	0.000
rs114751866 lBF = `13.8639` Chr`6` : `31,210,018`	0.368	0.632	0.000
rs404860 lBF = `26.6156` Chr`6` : `32,184,345`	0.000	0.633	0.367
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.366	0.634	0.000
rs71561142 lBF = `5.69059` Chr`6` : `8,859,635`	0.365	0.635	0.000
rs13196552 lBF = `92.1189` Chr`6` : `25,974,204`	0.365	0.635	0.000
rs78995442 lBF = `3.3865` Chr`6` : `159,331,260`	0.365	0.635	0.000
rs9268165 lBF = `78.52` Chr`6` : `32,272,327`	0.363	0.636	0.000
rs5007265 lBF = `245.726` Chr`6` : `32,378,866`	0.363	0.637	0.000
rs73002470 lBF = `12.3392` Chr`6` : `149,403,297`	0.363	0.637	0.000
Affx-28458228 lBF = `241.371` Chr`6` : `31,474,000`	0.363	0.637	0.000
rs6926737 lBF = `247.282` Chr`6` : `32,375,745`	0.362	0.638	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.362	0.638	0.000
rs6934776 lBF = `85.8605` Chr`6` : `32,279,816`	0.362	0.638	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.362	0.638	0.000
rs55669504 lBF = `14.7281` Chr`6` : `32,942,354`	0.359	0.641	0.000
rs3763307 lBF = `200.492` Chr`6` : `32,374,622`	0.000	0.641	0.359
rs3129066 lBF = `82.121` Chr`6` : `29,668,537`	0.359	0.641	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.359	0.641	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.358	0.642	0.000
rs3129039 lBF = `100.182` Chr`6` : `29,658,864`	0.358	0.642	0.000
rs3129887 lBF = `251.48` Chr`6` : `32,410,691`	0.358	0.642	0.000
rs3864300 lBF = `83.9992` Chr`6` : `32,271,807`	0.357	0.642	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.357	0.643	0.000
rs6915455 lBF = `82.932` Chr`6` : `32,283,494`	0.356	0.644	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.355	0.645	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.355	0.645	0.000
rs3096674 lBF = `85.1077` Chr`6` : `32,238,219`	0.355	0.645	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.354	0.646	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.354	0.646	0.000
rs6909790 lBF = `83.6247` Chr`6` : `32,282,979`	0.354	0.646	0.000
rs3117301 lBF = `91.5802` Chr`6` : `29,654,700`	0.354	0.646	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.353	0.647	0.000
rs9268429 lBF = `204.835` Chr`6` : `32,345,052`	0.000	0.647	0.353
rs1018433 lBF = `85.4992` Chr`6` : `32,281,510`	0.353	0.647	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	0.352	0.648	0.000
rs72829251 lBF = `5.09993` Chr`6` : `7,911,982`	0.352	0.648	0.000
rs477515 lBF = `222.226` Chr`6` : `32,569,691`	0.000	0.649	0.351
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.351	0.649	0.000
rs1018434 lBF = `86.6385` Chr`6` : `32,281,360`	0.350	0.650	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.350	0.650	0.000
rs6456834 lBF = `126.157` Chr`6` : `28,700,352`	0.349	0.651	0.000
rs3130424 lBF = `298.79` Chr`6` : `31,218,239`	0.349	0.651	0.000
rs3129073 lBF = `108.289` Chr`6` : `29,615,822`	0.346	0.654	0.000
rs6934429 lBF = `84.5686` Chr`6` : `32,279,622`	0.346	0.654	0.000
rs17207370 lBF = `31.3786` Chr`6` : `31,678,691`	0.346	0.654	0.000
rs116043458 lBF = `29.8674` Chr`6` : `31,716,436`	0.346	0.654	0.000
rs2523639 lBF = `9.40579` Chr`6` : `31,344,098`	0.000	0.655	0.345
rs9359466 lBF = `16.1014` Chr`6` : `81,935,652`	0.345	0.655	0.000
rs3132931 lBF = `84.3484` Chr`6` : `32,235,895`	0.344	0.656	0.000
rs9268125 lBF = `86.2747` Chr`6` : `32,252,678`	0.344	0.656	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.344	0.656	0.000
rs76245856 lBF = `17.4883` Chr`6` : `82,570,133`	0.344	0.656	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.343	0.657	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	0.343	0.657	0.000
rs2516415 lBF = `215.848` Chr`6` : `31,459,742`	0.343	0.657	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.343	0.657	0.000
rs3819720 lBF = `246.694` Chr`6` : `32,804,570`	0.342	0.658	0.000
rs35664695 lBF = `78.3117` Chr`6` : `31,929,808`	0.342	0.658	0.000
rs3130942 lBF = `276.936` Chr`6` : `31,197,293`	0.341	0.659	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.341	0.659	0.000
rs2975043 lBF = `102.582` Chr`6` : `29,918,734`	0.340	0.660	0.000
rs2523547 lBF = `9.408` Chr`6` : `31,350,154`	0.000	0.661	0.339
rs201435717 lBF = `2.48587` Chr`6` : `122,793,700`	0.339	0.661	0.000
rs2523626 lBF = `9.20658` Chr`6` : `31,346,490`	0.000	0.662	0.338
rs417162 lBF = `103.393` Chr`6` : `29,916,505`	0.337	0.663	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.336	0.664	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.336	0.664	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.336	0.664	0.000
rs7748167 lBF = `88.1606` Chr`6` : `25,904,652`	0.335	0.665	0.000
rs2523632 lBF = `9.64388` Chr`6` : `31,345,844`	0.000	0.665	0.335
rs9268507 lBF = `245.958` Chr`6` : `32,377,539`	0.335	0.665	0.000
rs2596574 lBF = `9.8013` Chr`6` : `31,334,174`	0.000	0.665	0.335
rs9468413 lBF = `128.706` Chr`6` : `28,689,672`	0.335	0.665	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.335	0.665	0.000
rs5007263 lBF = `245.895` Chr`6` : `32,378,982`	0.334	0.666	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.334	0.666	0.000
rs7341328 lBF = `77.795` Chr`6` : `32,275,194`	0.334	0.666	0.000
rs16891235 lBF = `94.1744` Chr`6` : `26,017,542`	0.333	0.667	0.000
rs16899524 lBF = `9.04837` Chr`6` : `31,362,310`	0.000	0.667	0.333
rs6927354 lBF = `1.01443` Chr`6` : `6,316,313`	0.332	0.668	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.332	0.668	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.3138

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2246

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.0500

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9893

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9858

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9830

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9737

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9718

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9544

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9465

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9341

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9178

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9153

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9057

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8992

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.8985

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8694

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.8555

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8551

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8530

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8513

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8506

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8447

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8409

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8238

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8224

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.8150

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8150

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8008

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8005

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7997

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7707

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7683

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7550

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7547

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7413

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7309

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7258

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7246

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7241

Cluster X0304

log Bayes Factor = 64.0127

contains 3 variants

0.7210

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7210

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7190

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7161

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7078

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7040

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6986

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6942

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6936

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6862

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6628

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6606

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6496

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6491

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.6379

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6298

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5974

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5930

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5904

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5818

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.5747

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5680

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5412

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5350

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5323

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5107

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4938

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.4923

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4860

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4805

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.4766

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4746

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4683

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.4636

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4475

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4340

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.4338

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4153

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4132

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4040

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3946

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3909

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3896

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3891

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3866

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3853

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3839

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3834

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3825

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3818

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.3666

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3626

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.3304

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3252

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3107

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3107

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2969

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2935

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2927

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2723

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2607

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2607

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2532

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2508

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2504

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.2449

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2389

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2352

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2290

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2259

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.2204

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2203

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2196

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2175

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2053

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.2027

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2005

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1997

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.1962

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1937

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1877

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1848

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1843

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1782

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1779

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.1660

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1648

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1641

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1601

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1588

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1582

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1578

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1571

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1516

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.1472

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1456

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1403

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1324

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1267

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1264

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1151

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1136

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1134

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1121

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1037

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.0997

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0974

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0957

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0945

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0935

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0836

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0835

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0826

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.0811

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0689

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0679

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0656

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0640

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0616

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.0596

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0582

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0533

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0529

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0521

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.0506

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`)