TreeWAS – [C16.8] Overlapping lesion of stomach

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
rs1264308 lBF = `139.062` Chr`6` : `30,879,987`	0.858	0.142	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.856	0.144	0.000
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.855	0.145	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.854	0.146	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.852	0.148	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.852	0.148	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.852	0.148	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.852	0.148	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.829	0.171	0.000
rs3130975 lBF = `209.002` Chr`6` : `31,081,838`	0.822	0.178	0.000
rs3130564 lBF = `267.188` Chr`6` : `31,101,674`	0.821	0.179	0.000
rs3094694 lBF = `198.27` Chr`6` : `30,451,904`	0.819	0.181	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.812	0.188	0.000
rs9263708 lBF = `251.317` Chr`6` : `31,095,270`	0.809	0.191	0.000
rs34182778 lBF = `229.887` Chr`6` : `31,084,942`	0.806	0.194	0.000
rs1264361 lBF = `132.901` Chr`6` : `30,777,498`	0.803	0.197	0.000
Affx-52368556 lBF = `236.51` Chr`6` : `31,084,935`	0.802	0.198	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.801	0.199	0.000
rs3132550 lBF = `240.835` Chr`6` : `31,086,048`	0.797	0.203	0.000
rs3094216 lBF = `239.383` Chr`6` : `31,084,048`	0.794	0.205	0.000
rs3094220 lBF = `239.557` Chr`6` : `31,082,987`	0.794	0.206	0.000
rs3095298 lBF = `239.113` Chr`6` : `31,082,932`	0.793	0.207	0.000
rs3132510 lBF = `353.141` Chr`6` : `31,172,151`	0.793	0.207	0.000
rs61271866 lBF = `80.5256` Chr`9` : `21,997,015`	0.792	0.208	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.791	0.209	0.000
rs9902235 lBF = `10.873` Chr`17` : `39,383,073`	0.789	0.211	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.788	0.212	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.781	0.219	0.000
rs3130977 lBF = `228.553` Chr`6` : `31,081,989`	0.779	0.221	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.777	0.223	0.000
rs3094034 lBF = `297.457` Chr`6` : `30,363,351`	0.774	0.226	0.000
rs3132616 lBF = `288.721` Chr`6` : `30,416,456`	0.769	0.231	0.000
rs2021722 lBF = `181.818` Chr`6` : `30,174,131`	0.767	0.233	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.767	0.233	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.761	0.239	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.761	0.239	0.000
rs2523721 lBF = `181.304` Chr`6` : `30,166,266`	0.760	0.240	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.760	0.240	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.760	0.240	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.758	0.242	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.758	0.242	0.000
rs3095336 lBF = `320.745` Chr`6` : `30,738,446`	0.758	0.242	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.757	0.243	0.000
rs885912 lBF = `179.285` Chr`6` : `30,174,633`	0.757	0.243	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.757	0.243	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.757	0.243	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.756	0.243	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.756	0.244	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.756	0.244	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.756	0.244	0.000
rs9267531 lBF = `377.776` Chr`6` : `31,636,742`	0.755	0.244	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.755	0.245	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.755	0.245	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.755	0.245	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.755	0.245	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.754	0.245	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.754	0.246	0.000
rs3129843 lBF = `366.114` Chr`6` : `32,395,726`	0.754	0.246	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.754	0.246	0.000
rs3132449 lBF = `379.265` Chr`6` : `31,626,013`	0.754	0.246	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.753	0.247	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.753	0.247	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.752	0.248	0.000
rs3132450 lBF = `377.185` Chr`6` : `31,596,138`	0.751	0.249	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.748	0.252	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.748	0.252	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.748	0.252	0.000
rs2517611 lBF = `186.241` Chr`6` : `30,169,327`	0.747	0.253	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.745	0.255	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.745	0.255	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.745	0.255	0.000
rs1333037 lBF = `168.921` Chr`9` : `22,040,765`	0.000	0.257	0.743
rs2157719 lBF = `171.627` Chr`9` : `22,033,366`	0.739	0.261	0.000
rs7865618 lBF = `166.125` Chr`9` : `22,031,005`	0.738	0.262	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.738	0.262	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.736	0.264	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.735	0.265	0.000
rs971570 lBF = `184.724` Chr`6` : `30,172,513`	0.732	0.268	0.000
rs2507997 lBF = `261.668` Chr`6` : `31,314,781`	0.731	0.269	0.000
rs2523722 lBF = `183.887` Chr`6` : `30,165,273`	0.731	0.269	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.729	0.271	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.728	0.272	0.000
rs1270942 lBF = `377.209` Chr`6` : `31,918,860`	0.726	0.274	0.000
rs564398 lBF = `152.203` Chr`9` : `22,029,547`	0.724	0.276	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.724	0.276	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.723	0.277	0.000
rs1063192 lBF = `160.304` Chr`9` : `22,003,367`	0.723	0.277	0.000
rs80202445 lBF = `9.82498` Chr`11` : `47,483,164`	0.723	0.277	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.721	0.278	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.721	0.279	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.720	0.280	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.720	0.280	0.000
rs9262135 lBF = `305.421` Chr`6` : `30,618,906`	0.719	0.281	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.718	0.282	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.718	0.282	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.717	0.283	0.000
rs204993 lBF = `249.805` Chr`6` : `32,155,581`	0.717	0.283	0.000
rs1622289 lBF = `17.2268` Chr`7` : `157,567,732`	0.716	0.283	0.000
rs6456834 lBF = `126.157` Chr`6` : `28,700,352`	0.715	0.285	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.715	0.285	0.000
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.714	0.286	0.000
rs9917256 lBF = `2.8234` Chr`2` : `169,143,035`	0.714	0.286	0.000
rs3129973 lBF = `119.863` Chr`6` : `30,721,143`	0.713	0.287	0.000
rs1474055 lBF = `2.74414` Chr`2` : `169,110,394`	0.712	0.288	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.712	0.288	0.000
rs2102808 lBF = `2.65746` Chr`2` : `169,117,025`	0.712	0.288	0.000
rs1412829 lBF = `154.353` Chr`9` : `22,043,926`	0.710	0.290	0.000
rs11126117 lBF = `5.81076` Chr`2` : `67,479,214`	0.708	0.292	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.707	0.293	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.705	0.295	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.705	0.295	0.000
rs1150757 lBF = `372.064` Chr`6` : `32,029,205`	0.703	0.296	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.703	0.297	0.000
rs3131060 lBF = `125.129` Chr`6` : `30,763,291`	0.703	0.297	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.701	0.298	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.701	0.299	0.000
rs1150753 lBF = `373.016` Chr`6` : `32,059,867`	0.700	0.300	0.000
rs1150752 lBF = `370.901` Chr`6` : `32,064,726`	0.699	0.301	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.699	0.301	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.699	0.301	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.698	0.302	0.000
rs77028341 lBF = `13.5435` Chr`2` : `202,142,991`	0.697	0.303	0.000
rs915894 lBF = `219.818` Chr`6` : `32,190,390`	0.697	0.303	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.697	0.303	0.000
rs3130552 lBF = `228.001` Chr`6` : `31,082,127`	0.695	0.305	0.000
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.694	0.306	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.694	0.306	0.000
rs3094084 lBF = `78.5529` Chr`6` : `30,947,509`	0.694	0.306	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.693	0.307	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.693	0.307	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.693	0.307	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.691	0.308	0.000
rs3130544 lBF = `444.862` Chr`6` : `31,058,340`	0.691	0.308	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.691	0.309	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.691	0.309	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.691	0.309	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.690	0.310	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.690	0.310	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.688	0.312	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.687	0.313	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.686	0.314	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.685	0.315	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.685	0.315	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.685	0.315	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.684	0.316	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.684	0.316	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.684	0.316	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.684	0.316	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.683	0.317	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.683	0.317	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.683	0.317	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.683	0.317	0.000
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.683	0.317	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.682	0.318	0.000
rs1633021 lBF = `104.806` Chr`6` : `29,746,869`	0.681	0.319	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.680	0.319	0.000
rs10070303 lBF = `2.46087` Chr`5` : `177,840,382`	0.680	0.319	0.000
rs3769823 lBF = `35.8804` Chr`2` : `202,122,995`	0.680	0.320	0.000
rs3132585 lBF = `312.872` Chr`6` : `30,687,614`	0.679	0.321	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.679	0.321	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.678	0.322	0.000
rs9262143 lBF = `304.189` Chr`6` : `30,652,781`	0.677	0.323	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.677	0.323	0.000
rs1038903 lBF = `0.900745` Chr`4` : `28,752,054`	0.677	0.323	0.000
rs1970 lBF = `296.484` Chr`6` : `30,125,543`	0.677	0.323	0.000
rs1548764 lBF = `9.86201` Chr`7` : `71,162,047`	0.676	0.323	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.675	0.325	0.000
rs118190886 lBF = `28.2045` Chr`20` : `58,877,758`	0.675	0.325	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.675	0.325	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.674	0.326	0.000
rs130076 lBF = `306.003` Chr`6` : `31,122,482`	0.674	0.326	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.674	0.326	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.673	0.326	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.673	0.327	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.673	0.327	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.671	0.329	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.671	0.329	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.670	0.329	0.000
rs879882 lBF = `53.6059` Chr`6` : `31,139,452`	0.000	0.330	0.670
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.670	0.330	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.668	0.332	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.668	0.332	0.000
rs3132649 lBF = `279.562` Chr`6` : `30,321,057`	0.668	0.332	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.667	0.333	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.667	0.333	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.667	0.333	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.666	0.334	0.000
rs3131788 lBF = `437.129` Chr`6` : `31,024,796`	0.666	0.334	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.666	0.334	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.666	0.334	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.665	0.335	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.665	0.335	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.664	0.335	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.664	0.336	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.664	0.336	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.664	0.336	0.000
rs1233478 lBF = `170.338` Chr`6` : `29,477,821`	0.664	0.336	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.663	0.337	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.663	0.337	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.661	0.339	0.000
rs10931936 lBF = `43.6499` Chr`2` : `202,143,928`	0.661	0.339	0.000
rs2862614 lBF = `5.02918` Chr`10` : `101,190,520`	0.660	0.340	0.000
rs3130374 lBF = `275.545` Chr`6` : `30,321,336`	0.659	0.341	0.000
rs9393929 lBF = `195.915` Chr`6` : `28,696,063`	0.659	0.341	0.000
rs78668941 lBF = `13.6423` Chr`1` : `160,266,209`	0.658	0.341	0.000
rs16892766 lBF = `28.6952` Chr`8` : `117,630,683`	0.658	0.342	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.658	0.342	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.658	0.342	0.000
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rs10965215 lBF = `149.273` Chr`9` : `22,029,445`	0.000	0.399	0.601
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.601	0.399	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.601	0.399	0.000
rs1611701 lBF = `159.353` Chr`6` : `29,827,956`	0.600	0.400	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.600	0.400	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.599	0.400	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.599	0.401	0.000
rs75193007 lBF = `15.0928` Chr`13` : `109,470,040`	0.599	0.401	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.599	0.401	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.599	0.401	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.599	0.401	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.598	0.401	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.599	0.401	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.598	0.402	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.598	0.402	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.598	0.402	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.598	0.402	0.000
rs117139804 lBF = `18.4888` Chr`12` : `116,233,671`	0.598	0.402	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.598	0.402	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.598	0.402	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.597	0.403	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.597	0.403	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.597	0.403	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.596	0.403	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.596	0.403	0.000
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.596	0.404	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.596	0.404	0.000
rs3129702 lBF = `232.122` Chr`6` : `30,232,785`	0.596	0.404	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.596	0.404	0.000
rs3129703 lBF = `232.471` Chr`6` : `30,233,558`	0.596	0.404	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.595	0.405	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.595	0.405	0.000
rs2151280 lBF = `148.877` Chr`9` : `22,034,719`	0.000	0.405	0.595
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.595	0.405	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.595	0.405	0.000
rs12134493 lBF = `0.927716` Chr`1` : `115,677,946`	0.594	0.406	0.000
rs2523719 lBF = `225.281` Chr`6` : `30,168,319`	0.594	0.406	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.594	0.406	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.594	0.406	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.594	0.406	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.593	0.406	0.000
rs73025756 lBF = `12.0394` Chr`11` : `121,939,415`	0.593	0.407	0.000
rs74980942 lBF = `19.1141` Chr`4` : `129,597,399`	0.593	0.407	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.593	0.407	0.000
rs75941567 lBF = `6.15316` Chr`10` : `65,406,487`	0.593	0.407	0.000
rs2844773 lBF = `234.47` Chr`6` : `30,207,495`	0.592	0.408	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.592	0.408	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.592	0.408	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.591	0.408	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.591	0.408	0.000
rs6770152 lBF = `4.02571` Chr`3` : `53,100,214`	0.591	0.409	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.591	0.409	0.000
rs1261741 lBF = `8.31313` Chr`14` : `83,222,515`	0.591	0.409	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.591	0.409	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.591	0.409	0.000
rs17665462 lBF = `11.2129` Chr`3` : `117,325,769`	0.590	0.410	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.590	0.410	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.590	0.410	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.590	0.410	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.590	0.410	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.589	0.410	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.589	0.411	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.589	0.411	0.000
rs9847710 lBF = `4.59756` Chr`3` : `53,062,661`	0.000	0.411	0.589
rs9257802 lBF = `148.114` Chr`6` : `29,343,355`	0.589	0.411	0.000
rs3130404 lBF = `230.881` Chr`6` : `30,232,250`	0.589	0.411	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.589	0.411	0.000
rs3129705 lBF = `231.706` Chr`6` : `30,234,721`	0.589	0.411	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.588	0.411	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.588	0.411	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.588	0.412	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.588	0.412	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.587	0.412	0.000
rs3129832 lBF = `228.914` Chr`6` : `30,234,657`	0.587	0.413	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.587	0.413	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.586	0.414	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.586	0.414	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.586	0.414	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.586	0.414	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.586	0.414	0.000
rs2071285 lBF = `78.0918` Chr`6` : `32,180,431`	0.586	0.414	0.000
rs3094071 lBF = `230.496` Chr`6` : `30,231,768`	0.586	0.414	0.000
rs3129704 lBF = `231.995` Chr`6` : `30,234,700`	0.586	0.414	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.585	0.414	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.585	0.415	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.585	0.415	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.585	0.415	0.000
rs3094072 lBF = `229.1` Chr`6` : `30,231,755`	0.585	0.415	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 X0115

log Bayes Factor = 32.8753

contains 3 variants

0.5125

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4705

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2621

Cluster X0027

log Bayes Factor = 25.8087

contains 2 variants

0.1875

Cluster X0317

log Bayes Factor = 95.4365

contains 2 variants

0.1405

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0092

log Bayes Factor = 90.0773

contains 8 variants

0.8621

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.8417

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7169

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7168

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.7168

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7162

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.7159

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7157

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7154

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7149

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7143

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7134

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7129

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7126

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7124

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7120

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7115

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7115

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7107

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7106

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7097

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7086

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7085

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7082

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7080

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7076

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7072

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7054

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7033

Cluster X0128

log Bayes Factor = 148.918

contains 15 variants

0.7014

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7009

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6973

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6971

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6940

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6935

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6927

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6924

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6922

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6921

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6908

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6900

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6888

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6871

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6833

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6831

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6806

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6802

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6744

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6740

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6739

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.6695

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6692

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6678

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6630

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6620

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6608

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6603

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6598

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6595

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.6525

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6439

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6421

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6374

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6373

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6372

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6338

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6324

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.6316

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6306

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6285

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.6284

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6253

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6208

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6163

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6146

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6109

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6002

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5997

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5962

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5955

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5935

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5930

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5914

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5900

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5871

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.5809

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5795

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5753

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5750

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.5747

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5725

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5702

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.5697

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5689

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5616

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5584

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5523

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5523

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5520

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5449

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5264

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5248

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5203

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5144

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5117

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5102

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5092

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5077

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.4989

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4981

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4899

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4828

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4753

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4738

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4708

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4617

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4583

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4567

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4536

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4535

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4513

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4501

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4484

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4442

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4430

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4286

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4285

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4266

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4258

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4226

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4188

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4135

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4106

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4104

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4009

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3976

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3962

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3936

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.3924

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3865

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3796

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3774

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3721

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3490

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3488

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3391

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3362

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3324

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3312

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3297

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3279

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3250

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3217

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3154

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2947

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2946

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2872

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2828

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.2824

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2819

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2752

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2735

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2648

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2621

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2571

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2553

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2427

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2388

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2265

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2173

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2116

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.2098

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2060

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2014

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1967

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1957

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1955

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1910

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1889

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1813

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1803

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1761

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1650

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1436

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1356

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1319

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.1120

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0919

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0849

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0766

Cluster X0252

log Bayes Factor = 170.729

contains 6 variants

0.0567

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`)