TreeWAS – [K12.3] Oral mucositis (ulcerative)

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
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.897	0.103	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.884	0.116	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.802	0.198	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.785	0.215	0.000
rs112889713 lBF = `9.36414` Chr`5` : `16,958,118`	0.780	0.220	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.768	0.232	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.767	0.233	0.000
rs80087214 lBF = `11.2696` Chr`5` : `56,789,655`	0.766	0.234	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.763	0.237	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.761	0.239	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.755	0.245	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.737	0.263	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.736	0.264	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.731	0.269	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.730	0.270	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.729	0.271	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.728	0.272	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.726	0.274	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.723	0.277	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.723	0.277	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.720	0.280	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.717	0.283	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.712	0.288	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.709	0.291	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.709	0.291	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.707	0.293	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.703	0.297	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.703	0.297	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.699	0.301	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.690	0.310	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.689	0.311	0.000
rs111932090 lBF = `8.81436` Chr`3` : `155,268,658`	0.686	0.314	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.686	0.314	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.685	0.315	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.675	0.325	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.671	0.329	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.671	0.329	0.000
rs118030566 lBF = `27.3147` Chr`8` : `144,403,041`	0.668	0.332	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.667	0.333	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.665	0.334	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.664	0.336	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.662	0.337	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.661	0.339	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.660	0.340	0.000
rs79917365 lBF = `15.1303` Chr`8` : `67,459,400`	0.659	0.341	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.659	0.341	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.657	0.343	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.657	0.343	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.655	0.345	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.652	0.348	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.652	0.348	0.000
rs9845885 lBF = `20.2448` Chr`3` : `149,061,913`	0.651	0.349	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.649	0.351	0.000
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.648	0.352	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.647	0.353	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.646	0.354	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.644	0.355	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.644	0.356	0.000
rs75881054 lBF = `14.1547` Chr`7` : `100,406,207`	0.643	0.357	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.642	0.358	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.641	0.359	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.640	0.360	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.638	0.362	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.363	0.637
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.635	0.365	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.635	0.365	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.634	0.366	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.633	0.366	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.633	0.367	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.633	0.367	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.631	0.369	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.629	0.370	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.628	0.371	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.628	0.372	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.627	0.373	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.627	0.373	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.626	0.374	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.624	0.376	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.623	0.377	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	0.621	0.379	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.621	0.379	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.619	0.381	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.618	0.382	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.618	0.382	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.618	0.382	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.618	0.382	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.616	0.383	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.615	0.385	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.614	0.386	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.613	0.387	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.613	0.387	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.612	0.388	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.611	0.389	0.000
rs114623553 lBF = `11.967` Chr`4` : `54,387,668`	0.611	0.389	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.610	0.390	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.609	0.391	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.609	0.391	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.607	0.392	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.607	0.393	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.607	0.393	0.000
rs6077414 lBF = `0.594491` Chr`20` : `8,704,552`	0.607	0.393	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.607	0.393	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.606	0.393	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.606	0.394	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.605	0.395	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.605	0.395	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.605	0.395	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.604	0.396	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.603	0.397	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.602	0.398	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.602	0.398	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.602	0.398	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.602	0.398	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.602	0.398	0.000
rs6922431 lBF = `22.0345` Chr`6` : `31,465,030`	0.000	0.399	0.601
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.601	0.399	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.600	0.399	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.600	0.400	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.600	0.400	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.599	0.401	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.598	0.402	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.598	0.402	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.597	0.403	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.597	0.403	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.596	0.404	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.595	0.405	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.594	0.406	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.594	0.406	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.594	0.406	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.594	0.406	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.594	0.406	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.593	0.407	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.593	0.407	0.000
rs76697503 lBF = `14.8873` Chr`20` : `40,295,452`	0.592	0.408	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.591	0.409	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.590	0.410	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.588	0.412	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.588	0.412	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.588	0.412	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.588	0.412	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.588	0.412	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.587	0.413	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.587	0.413	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.587	0.413	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.586	0.414	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.585	0.415	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.583	0.417	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.583	0.417	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.582	0.417	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.582	0.418	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.582	0.418	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.582	0.418	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.581	0.419	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.581	0.419	0.000
rs11770772 lBF = `4.85881` Chr`7` : `22,187,080`	0.579	0.421	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.579	0.421	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.579	0.421	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.578	0.421	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.578	0.422	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.578	0.422	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.577	0.422	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.577	0.423	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.576	0.423	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.576	0.423	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.576	0.424	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.576	0.424	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.575	0.425	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.574	0.425	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.574	0.426	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.574	0.426	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.573	0.427	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.572	0.428	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.572	0.428	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.572	0.428	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.571	0.428	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.571	0.429	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.571	0.429	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.570	0.430	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.569	0.431	0.000
rs114859313 lBF = `12.1981` Chr`5` : `163,379,668`	0.569	0.431	0.000
rs7307123 lBF = `21.9581` Chr`12` : `54,524,397`	0.569	0.431	0.000
rs17423218 lBF = `17.6829` Chr`8` : `67,758,401`	0.568	0.432	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.568	0.432	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.568	0.432	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.567	0.432	0.000
rs72971657 lBF = `43.7455` Chr`6` : `136,199,714`	0.567	0.433	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.567	0.433	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.566	0.434	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.565	0.435	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.565	0.435	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.564	0.436	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.563	0.437	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.562	0.437	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.562	0.438	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.562	0.438	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.560	0.440	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.560	0.440	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.558	0.442	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.557	0.443	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.557	0.443	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.557	0.443	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.556	0.444	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.556	0.444	0.000
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rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.501	0.498	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.501	0.498	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.501	0.498	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.501	0.499	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.501	0.499	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.501	0.499	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.501	0.499	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.501	0.499	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.501	0.499	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.500	0.500	0.000
rs116479312 lBF = `48.8219` Chr`6` : `32,408,500`	0.500	0.500	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.500	0.500	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.499	0.501	0.000
rs12972378 lBF = `13.8299` Chr`19` : `5,649,716`	0.499	0.501	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.499	0.501	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.499	0.501	0.000
rs72907046 lBF = `20.2521` Chr`6` : `82,127,883`	0.498	0.501	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.498	0.502	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.498	0.502	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.498	0.502	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.497	0.503	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.497	0.503	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.497	0.503	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.496	0.504	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.496	0.504	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.495	0.505	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.495	0.505	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.495	0.505	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.495	0.505	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.495	0.505	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.495	0.505	0.000
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.494	0.506	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.494	0.506	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.494	0.506	0.000
rs141527659 lBF = `22.6507` Chr`8` : `130,875,935`	0.494	0.506	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.493	0.507	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.493	0.507	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.493	0.507	0.000
rs117152961 lBF = `19.8411` Chr`10` : `78,272,487`	0.493	0.507	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.493	0.507	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.492	0.508	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.492	0.508	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.492	0.508	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.491	0.508	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.491	0.508	0.000
rs180791571 lBF = `9.12258` Chr`2` : `122,464,495`	0.491	0.509	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.491	0.509	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.491	0.509	0.000
rs75480238 lBF = `16.88` Chr`7` : `104,748,764`	0.490	0.510	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.490	0.510	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.490	0.510	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.490	0.510	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.489	0.511	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.489	0.511	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.489	0.511	0.000
rs11088859 lBF = `14.6883` Chr`21` : `22,689,344`	0.489	0.511	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.488	0.511	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.488	0.511	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.488	0.512	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.488	0.512	0.000
rs185934952 lBF = `1.00439` Chr`3` : `6,811,321`	0.487	0.512	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.487	0.513	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.487	0.513	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.487	0.513	0.000
rs117089640 lBF = `23.0292` Chr`12` : `125,048,557`	0.486	0.513	0.000
rs268786 lBF = `2.87359` Chr`1` : `237,355,985`	0.486	0.514	0.000
rs6863299 lBF = `16.1745` Chr`5` : `68,192,468`	0.486	0.514	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.485	0.515	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.485	0.515	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.485	0.515	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.485	0.515	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.484	0.515	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.484	0.515	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.484	0.516	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.484	0.516	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.484	0.516	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.484	0.516	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.483	0.516	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.483	0.517	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.483	0.517	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.483	0.517	0.000
rs143474708 lBF = `25.2204` Chr`4` : `17,181,751`	0.483	0.517	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.483	0.517	0.000
rs117085966 lBF = `16.4406` Chr`18` : `33,048,129`	0.482	0.518	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.482	0.518	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.482	0.518	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.482	0.518	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.481	0.518	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.481	0.518	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.481	0.519	0.000
rs185275068 lBF = `3.56551` Chr`1` : `239,607,289`	0.481	0.519	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.481	0.519	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.480	0.520	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.480	0.520	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.479	0.521	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 X0106

log Bayes Factor = 980.916

contains 30 variants

0.9991

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9939

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.9918

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9887

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9881

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9871

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9856

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9822

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9798

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9794

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9675

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9562

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9556

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9498

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9479

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9467

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9381

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9377

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9355

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9353

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9335

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9223

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9207

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9201

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9151

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9080

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9064

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9030

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8949

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8939

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8839

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8774

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8762

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8753

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8740

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8654

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8641

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8593

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8501

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8500

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8499

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8472

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8469

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8410

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8379

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8331

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8290

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8255

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8252

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8252

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8246

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8212

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8182

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8111

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8091

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8018

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7993

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7983

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7953

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7944

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7902

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7896

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7813

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7785

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7774

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7710

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7679

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7661

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7638

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7611

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7563

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7533

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7462

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7399

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7321

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7298

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7272

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7261

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7248

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7165

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7151

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7088

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7087

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7077

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7021

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6915

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6738

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6645

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6535

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6491

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6331

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6190

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6119

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6100

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5975

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5933

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5862

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5691

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5559

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5516

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5340

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5328

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5312

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5307

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5148

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5137

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4882

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4761

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3994

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3949

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3757

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3673

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3638

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3483

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3380

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3241

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3061

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2826

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2826

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2737

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2737

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2645

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2491

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2202

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2082

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2062

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1836

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.1820

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1620

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1613

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1494

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1368

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1342

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1265

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1256

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0963

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0668

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0563

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`)