TreeWAS – [K66.1] Haemoperitoneum

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
rs4738684 lBF = `15.985` Chr`8` : `59,393,273`	0.000	0.172	0.828
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.828	0.172	0.000
rs9297994 lBF = `15.9783` Chr`8` : `59,392,324`	0.000	0.176	0.824
rs28929474 lBF = `54.4847` Chr`14` : `94,844,947`	0.778	0.222	0.000
rs2081687 lBF = `16.908` Chr`8` : `59,388,565`	0.757	0.243	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.753	0.247	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.751	0.249	0.000
rs4713555 lBF = `213.505` Chr`6` : `32,575,524`	0.000	0.266	0.734
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.729	0.270	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.717	0.283	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.711	0.289	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.711	0.289	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.709	0.291	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.707	0.293	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.704	0.296	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.702	0.298	0.000
rs12613387 lBF = `11.81` Chr`2` : `199,699,922`	0.701	0.299	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.700	0.300	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.698	0.302	0.000
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.695	0.305	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.693	0.307	0.000
rs73272823 lBF = `15.6671` Chr`14` : `66,292,820`	0.691	0.309	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.690	0.310	0.000
rs2722223 lBF = `24.9818` Chr`12` : `90,233,876`	0.689	0.310	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.687	0.313	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.687	0.313	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.685	0.315	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.684	0.316	0.000
rs117399377 lBF = `18.9887` Chr`6` : `91,609,303`	0.682	0.318	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.680	0.319	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.678	0.322	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.676	0.324	0.000
rs149038799 lBF = `3.1664` Chr`8` : `123,458,462`	0.676	0.324	0.000
rs62618757 lBF = `11.742` Chr`13` : `79,179,581`	0.676	0.324	0.000
rs6471717 lBF = `17.1701` Chr`8` : `59,377,357`	0.000	0.328	0.672
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.670	0.330	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.669	0.331	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.669	0.331	0.000
rs72875462 lBF = `236.37` Chr`2` : `44,079,310`	0.669	0.331	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.669	0.331	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.667	0.333	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.666	0.334	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.665	0.335	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.663	0.337	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.661	0.339	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.661	0.339	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.661	0.339	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.660	0.340	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.659	0.341	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.658	0.342	0.000
rs11887534 lBF = `270.519` Chr`2` : `44,066,247`	0.657	0.342	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.657	0.343	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.657	0.343	0.000
Affx-20090007 lBF = `271.258` Chr`2` : `44,066,247`	0.656	0.344	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.654	0.346	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
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.650	0.350	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.649	0.351	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.648	0.352	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.647	0.353	0.000
rs79167034 lBF = `28.2481` Chr`11` : `46,814,844`	0.647	0.353	0.000
rs12722489 lBF = `4.70914` Chr`10` : `6,102,012`	0.000	0.353	0.646
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.646	0.354	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.644	0.355	0.000
rs6756629 lBF = `240.567` Chr`2` : `44,065,090`	0.644	0.356	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.642	0.358	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.641	0.359	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.640	0.359	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.640	0.360	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
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.638	0.362	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.638	0.362	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.638	0.362	0.000
Affx-20089987 lBF = `239.985` Chr`2` : `44,065,090`	0.636	0.364	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.635	0.364	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.635	0.365	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.635	0.365	0.000
rs115424548 lBF = `14.2476` Chr`4` : `145,602,863`	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
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.632	0.368	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.630	0.369	0.000
rs74699291 lBF = `13.44` Chr`6` : `125,222,812`	0.630	0.370	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
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.629	0.371	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.629	0.371	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.628	0.372	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.628	0.372	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.625	0.375	0.000
rs1327965 lBF = `6.04177` Chr`13` : `36,271,631`	0.625	0.375	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
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.623	0.377	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
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.620	0.380	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.620	0.380	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.619	0.381	0.000
rs61952371 lBF = `11.1184` Chr`13` : `20,588,537`	0.617	0.383	0.000
rs9560417 lBF = `3.74186` Chr`13` : `90,361,716`	0.617	0.383	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.615	0.385	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.614	0.386	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
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.611	0.389	0.000
rs35620136 lBF = `15.1317` Chr`5` : `140,530,718`	0.610	0.389	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
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.607	0.393	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.605	0.395	0.000
rs79986080 lBF = `12.1183` Chr`5` : `17,091,822`	0.604	0.396	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
rs74639232 lBF = `18.5742` Chr`4` : `141,177,098`	0.602	0.398	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
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	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
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.592	0.408	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.592	0.408	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	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
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.590	0.410	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.588	0.412	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.588	0.412	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.587	0.413	0.000
rs147318337 lBF = `20.2563` Chr`4` : `159,789,403`	0.587	0.413	0.000
rs72657827 lBF = `22.3443` Chr`1` : `23,392,108`	0.586	0.414	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.585	0.414	0.000
rs181028361 lBF = `21.8082` Chr`18` : `9,792,830`	0.585	0.414	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.585	0.415	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.585	0.415	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.582	0.417	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.581	0.418	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.581	0.419	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.581	0.419	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.580	0.420	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.580	0.420	0.000
rs7221360 lBF = `16.9886` Chr`17` : `52,448,143`	0.579	0.421	0.000
rs76822207 lBF = `12.9517` Chr`7` : `4,008,750`	0.579	0.421	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.578	0.422	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.577	0.422	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.577	0.423	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.576	0.423	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
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.575	0.425	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.575	0.425	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.573	0.427	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.571	0.429	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.570	0.429	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.569	0.431	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.566	0.434	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.566	0.434	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.565	0.434	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.565	0.435	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.564	0.436	0.000
rs76308827 lBF = `22.5688` Chr`8` : `80,264,727`	0.563	0.437	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.563	0.437	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.563	0.437	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.562	0.437	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.561	0.439	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.561	0.439	0.000
rs791590 lBF = `4.28845` Chr`10` : `6,090,322`	0.000	0.439	0.561
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.559	0.441	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.559	0.441	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.559	0.441	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.559	0.441	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.556	0.443	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.556	0.444	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.555	0.445	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.555	0.445	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.554	0.445	0.000
rs60552083 lBF = `9.92833` Chr`1` : `67,561,772`	0.000	0.448	0.552
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.552	0.448	0.000
rs79091781 lBF = `14.7652` Chr`7` : `94,430,452`	0.552	0.448	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.551	0.449	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.549	0.451	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.548	0.451	0.000
rs75015734 lBF = `13.2765` Chr`11` : `20,186,756`	0.548	0.452	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.547	0.453	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.547	0.453	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.547	0.453	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.547	0.453	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.547	0.453	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.546	0.454	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.545	0.455	0.000
rs140273521 lBF = `15.1391` Chr`8` : `136,277,752`	0.545	0.455	0.000
rs116047120 lBF = `15.5174` Chr`3` : `107,472,483`	0.543	0.457	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.542	0.458	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.542	0.458	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.542	0.458	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.542	0.458	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.542	0.458	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.541	0.459	0.000
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rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.454	0.546	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.454	0.546	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.454	0.546	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.453	0.547	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.453	0.547	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.453	0.547	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	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
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.452	0.548	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.452	0.548	0.000
rs78058190 lBF = `10.0519` Chr`2` : `219,699,999`	0.451	0.549	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.451	0.549	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.450	0.549	0.000
rs6862844 lBF = `5.17727` Chr`5` : `124,365,967`	0.450	0.550	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.450	0.550	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.449	0.551	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.449	0.551	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.449	0.551	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.449	0.551	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.449	0.551	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.447	0.553	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.446	0.554	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	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
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.445	0.555	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.444	0.556	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.444	0.556	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	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
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.442	0.557	0.000
rs78381698 lBF = `18.5552` Chr`5` : `135,014,373`	0.442	0.558	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.441	0.559	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.441	0.559	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.441	0.559	0.000
rs2275336 lBF = `0.750334` Chr`6` : `154,726,988`	0.440	0.559	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.440	0.560	0.000
rs9992080 lBF = `14.3311` Chr`4` : `154,832,776`	0.440	0.560	0.000
rs16895802 lBF = `8.13994` Chr`4` : `17,815,889`	0.440	0.560	0.000
rs62294780 lBF = `11.4238` Chr`3` : `192,379,613`	0.439	0.560	0.000
rs114277376 lBF = `11.6233` Chr`4` : `172,906,241`	0.439	0.560	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.439	0.561	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.439	0.561	0.000
rs1441759 lBF = `22.8185` Chr`8` : `19,865,563`	0.439	0.561	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.438	0.561	0.000
rs116146467 lBF = `8.72874` Chr`6` : `169,558,013`	0.438	0.562	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.438	0.562	0.000
rs1060575 lBF = `10.7686` Chr`1` : `67,236,097`	0.438	0.562	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.438	0.562	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.437	0.563	0.000
rs6799705 lBF = `3.95758` Chr`3` : `35,982,130`	0.437	0.563	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.437	0.563	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.437	0.563	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.436	0.563	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.436	0.563	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.436	0.564	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.436	0.564	0.000
rs3816989 lBF = `5.81132` Chr`1` : `67,242,087`	0.436	0.564	0.000
rs10034950 lBF = `1.31026` Chr`4` : `34,910,475`	0.435	0.564	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.435	0.565	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.435	0.565	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.435	0.565	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.434	0.566	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.434	0.566	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.432	0.568	0.000
rs12610185 lBF = `11.2888` Chr`19` : `19,721,722`	0.432	0.568	0.000
rs180910263 lBF = `12.8752` Chr`11` : `70,311,045`	0.431	0.568	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.431	0.568	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.431	0.569	0.000
rs76096212 lBF = `15.6075` Chr`5` : `141,798,931`	0.431	0.569	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.431	0.569	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.431	0.569	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.430	0.570	0.000
rs78493974 lBF = `9.40232` Chr`18` : `53,358,425`	0.430	0.570	0.000
rs190057637 lBF = `2.60107` Chr`4` : `60,338,268`	0.429	0.571	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.429	0.571	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.428	0.571	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.428	0.572	0.000
rs77126375 lBF = `14.4018` Chr`18` : `40,962,485`	0.428	0.572	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.427	0.572	0.000
rs7572081 lBF = `2.78476` Chr`2` : `15,509,146`	0.427	0.573	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.427	0.573	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.427	0.573	0.000
rs117176329 lBF = `15.0759` Chr`14` : `93,656,324`	0.427	0.573	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.427	0.573	0.000
rs113647600 lBF = `93.0002` Chr`6` : `32,553,626`	0.427	0.573	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.427	0.573	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.426	0.574	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.426	0.574	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.426	0.574	0.000
rs114685215 lBF = `1.06238` Chr`1` : `113,068,722`	0.426	0.574	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.425	0.574	0.000
rs118079879 lBF = `5.09035` Chr`12` : `41,713,306`	0.425	0.575	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.425	0.575	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

0.2597

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9461

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9333

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8866

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8817

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8698

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8491

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8332

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8167

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8127

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8074

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8050

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8043

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7855

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7755

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7748

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7744

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7641

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.7544

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7408

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7395

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7360

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7192

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7168

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.7168

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7166

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7142

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7095

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7079

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6981

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6969

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6954

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6922

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6812

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6731

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6691

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6669

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6650

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6528

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6509

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6488

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6481

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6332

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6331

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.6278

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6237

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6235

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6215

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6180

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6146

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5865

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5822

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5807

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5770

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5739

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5702

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5699

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.5661

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5603

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5569

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5542

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5517

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5516

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5483

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5474

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.5418

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.5415

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5301

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5236

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5225

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5113

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5028

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4952

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.4925

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.4786

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4774

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4722

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.4697

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4673

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4520

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4393

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4324

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4287

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4281

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4195

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4160

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.4155

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4128

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4105

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4069

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4030

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3992

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3833

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3832

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3700

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3691

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3681

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3641

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3583

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3522

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3450

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3430

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.3415

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3399

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3334

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3295

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3287

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3240

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3240

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.3225

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3182

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3176

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3156

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3099

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3042

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.2992

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2898

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2892

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2781

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2756

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2741

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2725

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2717

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2684

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2652

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.2597

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2578

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2566

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2559

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2543

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2538

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2482

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2481

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2416

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2393

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.2387

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2253

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2211

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2150

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1997

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1865

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1839

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1818

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1817

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1670

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1510

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1459

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1295

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1244

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1089

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1004

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0936

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0740

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0724

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0634

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0585

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0513

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0511

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`)