TreeWAS – [K66.8] Other specified disorders of peritoneum

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
rs676388 lBF = `19.9316` Chr`19` : `49,211,969`	0.000	0.102	0.898
rs281379 lBF = `19.5324` Chr`19` : `49,214,274`	0.000	0.119	0.881
rs504963 lBF = `19.4` Chr`19` : `49,208,865`	0.000	0.119	0.881
rs503279 lBF = `19.8281` Chr`19` : `49,209,010`	0.000	0.129	0.871
rs601338 lBF = `26.5485` Chr`19` : `49,206,674`	0.000	0.138	0.862
rs681343 lBF = `25.6845` Chr`19` : `49,206,462`	0.000	0.144	0.856
rs632111 lBF = `20.7605` Chr`19` : `49,208,978`	0.849	0.151	0.000
rs492602 lBF = `25.3097` Chr`19` : `49,206,417`	0.000	0.153	0.847
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.154	0.846
rs838145 lBF = `18.4833` Chr`19` : `49,248,730`	0.000	0.155	0.845
rs516246 lBF = `24.8269` Chr`19` : `49,206,172`	0.000	0.156	0.844
rs281377 lBF = `7.9369` Chr`19` : `49,206,603`	0.000	0.156	0.844
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.158	0.842
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.837	0.163	0.000
rs602662 lBF = `19.1059` Chr`19` : `49,206,985`	0.000	0.166	0.834
rs12462111 lBF = `4.03411` Chr`19` : `49,171,306`	0.825	0.175	0.000
rs485186 lBF = `18.7474` Chr`19` : `49,207,206`	0.000	0.181	0.819
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.818	0.182	0.000
rs35106244 lBF = `16.1424` Chr`19` : `49,203,829`	0.809	0.191	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.200	0.800
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.797	0.203	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.791	0.209	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.778	0.222	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.772	0.228	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.767	0.233	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.760	0.240	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.759	0.241	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.753	0.247	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.748	0.252	0.000
rs380743 lBF = `13.0683` Chr`19` : `49,241,014`	0.748	0.252	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.745	0.255	0.000
rs838147 lBF = `14.7603` Chr`19` : `49,246,866`	0.000	0.256	0.744
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.744	0.256	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.742	0.258	0.000
rs8111874 lBF = `3.68917` Chr`19` : `49,168,942`	0.733	0.267	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.731	0.269	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.730	0.270	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.727	0.273	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.726	0.274	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.723	0.277	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.716	0.284	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.715	0.285	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.711	0.289	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.710	0.290	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.709	0.291	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.707	0.293	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.705	0.295	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.702	0.298	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.701	0.299	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.700	0.300	0.000
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.700	0.300	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.304	0.696
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.695	0.305	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.694	0.306	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.694	0.306	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.691	0.309	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.690	0.310	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.688	0.312	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.687	0.313	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.687	0.313	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.684	0.316	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.682	0.318	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.681	0.319	0.000
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.679	0.321	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.678	0.322	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.676	0.324	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.674	0.326	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.673	0.327	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.669	0.331	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.667	0.332	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.667	0.333	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.665	0.335	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.665	0.335	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.665	0.335	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.663	0.337	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.662	0.338	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.661	0.339	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.661	0.339	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.661	0.339	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.658	0.342	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.658	0.342	0.000
rs281380 lBF = `1.855` Chr`19` : `49,214,470`	0.000	0.342	0.658
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.657	0.343	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.657	0.343	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.655	0.345	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.654	0.346	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.653	0.347	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.653	0.347	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.651	0.349	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.651	0.349	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.651	0.349	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.647	0.353	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.646	0.354	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.646	0.354	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.646	0.354	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.646	0.354	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.645	0.355	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.644	0.355	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.642	0.358	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.641	0.358	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.640	0.360	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.640	0.360	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.638	0.361	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.638	0.362	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.636	0.364	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.635	0.365	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.635	0.365	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.633	0.367	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.633	0.367	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.632	0.368	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.632	0.368	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.632	0.368	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.631	0.369	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.631	0.369	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.630	0.370	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.629	0.370	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.629	0.371	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.628	0.372	0.000
rs11887534 lBF = `270.519` Chr`2` : `44,066,247`	0.628	0.372	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.628	0.372	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.628	0.372	0.000
Affx-20090007 lBF = `271.258` Chr`2` : `44,066,247`	0.626	0.373	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.626	0.374	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.624	0.376	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.623	0.377	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.623	0.377	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.623	0.377	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.623	0.377	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.622	0.378	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.621	0.379	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.621	0.379	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.620	0.380	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.620	0.380	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.619	0.381	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.617	0.383	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.616	0.384	0.000
rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.613	0.386	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.612	0.388	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.611	0.389	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.611	0.389	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.610	0.389	0.000
rs60552083 lBF = `9.92833` Chr`1` : `67,561,772`	0.000	0.390	0.610
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.609	0.391	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.609	0.391	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.607	0.393	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.605	0.395	0.000
rs75538714 lBF = `15.783` Chr`20` : `55,594,141`	0.604	0.396	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.603	0.397	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.602	0.397	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.602	0.398	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.601	0.399	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.600	0.400	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.600	0.400	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.596	0.404	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.596	0.404	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.596	0.404	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.594	0.405	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.594	0.406	0.000
rs111982810 lBF = `17.5837` Chr`10` : `78,301,515`	0.594	0.406	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.593	0.407	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.593	0.407	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.591	0.409	0.000
rs75568402 lBF = `14.4019` Chr`2` : `42,189,315`	0.591	0.409	0.000
rs77817374 lBF = `19.5179` Chr`3` : `185,841,654`	0.591	0.409	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.590	0.409	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.590	0.410	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.590	0.410	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.590	0.410	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.589	0.411	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.589	0.411	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.588	0.412	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.588	0.412	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.588	0.412	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.587	0.413	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.587	0.413	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.586	0.414	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.586	0.414	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.585	0.414	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.584	0.416	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.583	0.417	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.581	0.419	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.580	0.420	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.579	0.421	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.579	0.421	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.579	0.421	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.577	0.422	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.576	0.424	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.576	0.424	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.575	0.425	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.575	0.425	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.573	0.427	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.572	0.428	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.571	0.429	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.570	0.430	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.569	0.431	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.567	0.433	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.567	0.433	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.564	0.436	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.564	0.436	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.563	0.437	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.563	0.437	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.563	0.437	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.562	0.437	0.000
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rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.471	0.529	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.471	0.529	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.470	0.530	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.470	0.530	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.469	0.531	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.468	0.532	0.000
rs9835928 lBF = `17.3241` Chr`3` : `114,296,725`	0.468	0.532	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.467	0.533	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.467	0.533	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.466	0.533	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.466	0.534	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.466	0.534	0.000
Affx-28513472 lBF = `130.257` Chr`6` : `33,053,577`	0.465	0.535	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.465	0.535	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.464	0.535	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.463	0.537	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.463	0.537	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.463	0.537	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.462	0.538	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.462	0.538	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.461	0.538	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.461	0.539	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.461	0.539	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.461	0.539	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.460	0.540	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.460	0.540	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.460	0.540	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.460	0.540	0.000
rs17020489 lBF = `2.57552` Chr`2` : `81,822,181`	0.459	0.541	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.459	0.541	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.458	0.542	0.000
rs114165957 lBF = `23.5276` Chr`5` : `115,495,327`	0.457	0.542	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.457	0.543	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.457	0.543	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.456	0.544	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.456	0.544	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.456	0.544	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.456	0.544	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.456	0.544	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.456	0.544	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.456	0.544	0.000
rs75835816 lBF = `7.35402` Chr`8` : `19,885,513`	0.455	0.544	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.455	0.545	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.455	0.545	0.000
rs76966440 lBF = `14.1937` Chr`19` : `10,797,763`	0.455	0.545	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.455	0.545	0.000
rs6911848 lBF = `125.052` Chr`6` : `33,075,259`	0.455	0.545	0.000
rs78998565 lBF = `20.664` Chr`13` : `60,121,340`	0.455	0.545	0.000
rs6924545 lBF = `125.123` Chr`6` : `33,077,607`	0.455	0.545	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.454	0.546	0.000
rs40646 lBF = `10.6313` Chr`5` : `4,977,136`	0.454	0.546	0.000
rs630379 lBF = `243.642` Chr`6` : `31,922,254`	0.454	0.546	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.453	0.547	0.000
rs9276826 lBF = `16.7625` Chr`6` : `32,830,568`	0.000	0.547	0.453
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.453	0.547	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.453	0.547	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.452	0.548	0.000
rs389883 lBF = `240.061` Chr`6` : `31,947,460`	0.452	0.548	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.452	0.548	0.000
rs73195295 lBF = `14.6178` Chr`13` : `58,551,273`	0.450	0.550	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.450	0.550	0.000
rs117749488 lBF = `32.7012` Chr`11` : `48,629,423`	0.450	0.550	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.449	0.551	0.000
rs75238399 lBF = `16.75` Chr`2` : `126,960,737`	0.449	0.551	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.449	0.551	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.449	0.551	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.449	0.551	0.000
rs419788 lBF = `237.889` Chr`6` : `31,928,799`	0.448	0.552	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.447	0.552	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.446	0.554	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.446	0.554	0.000
rs73730372 lBF = `80.3636` Chr`6` : `32,584,581`	0.000	0.554	0.446
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.445	0.555	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.445	0.555	0.000
rs118136136 lBF = `2.24787` Chr`21` : `35,274,965`	0.445	0.555	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.444	0.556	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.444	0.556	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.443	0.557	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.443	0.557	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.443	0.557	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.443	0.557	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.442	0.557	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.442	0.557	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.442	0.558	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.442	0.558	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.441	0.558	0.000
rs79255123 lBF = `9.35847` Chr`2` : `26,928,476`	0.441	0.558	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.441	0.559	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.441	0.559	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.440	0.559	0.000
rs113982416 lBF = `13.054` Chr`14` : `89,297,204`	0.440	0.560	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.440	0.560	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.439	0.561	0.000
rs79922463 lBF = `6.09241` Chr`8` : `112,002,658`	0.439	0.561	0.000
rs196586 lBF = `13.7618` Chr`7` : `36,320,821`	0.439	0.561	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 X0338

log Bayes Factor = 26.5485

contains 1 variants

0.8619

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9946

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9823

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9772

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9671

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9613

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9606

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9514

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9389

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9332

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9274

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9259

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9209

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9005

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8882

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8848

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8711

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8451

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8400

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8272

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8251

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8186

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8149

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8142

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.8105

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8102

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8029

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7987

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7917

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7875

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7796

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7786

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7690

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7575

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7506

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7463

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7448

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7434

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7359

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7352

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7301

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7187

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7141

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7095

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7089

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7015

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7012

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6960

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6941

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6899

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.6766

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.6719

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6695

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6550

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.6540

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6483

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6460

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.6378

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6313

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6248

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6209

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.6108

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6020

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6006

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5861

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5815

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5633

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5624

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5534

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5514

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5432

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5362

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5316

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.5219

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5080

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4976

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4936

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4840

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4638

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4616

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4528

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4481

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4432

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4431

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.4416

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4386

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4386

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4355

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4340

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4324

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4253

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4204

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4085

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4070

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4017

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3959

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3884

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.3792

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3766

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3745

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3700

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3629

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3626

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.3504

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3447

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3415

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.3390

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3347

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3332

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3296

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3295

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3289

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3250

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3233

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3108

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3076

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3063

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3040

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3006

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2991

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2876

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2820

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2784

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2717

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2699

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2669

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2659

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2654

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2578

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2558

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2390

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2323

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2211

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.2135

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2128

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2128

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2037

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.2019

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.2003

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1982

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1981

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1854

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1795

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1757

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1569

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1435

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1386

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1024

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0700

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0632

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0597

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0592

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0541

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0503

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`)