TreeWAS – [S72.10] Pertrochanteric fracture (closed)

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
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.910	0.090	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.905	0.095	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.898	0.102	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.863	0.137	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.829	0.171	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.826	0.174	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.826	0.174	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.819	0.181	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.816	0.184	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.796	0.204	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.794	0.206	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.792	0.208	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.215	0.785
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.778	0.222	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.777	0.223	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.774	0.226	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.773	0.227	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.772	0.228	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.772	0.228	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.763	0.237	0.000
rs4378452 lBF = `20.7259` Chr`12` : `111,504,033`	0.761	0.239	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.757	0.242	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.757	0.243	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.754	0.246	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.752	0.248	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.750	0.250	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.748	0.252	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.730	0.270	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.724	0.276	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.279	0.721
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.721	0.279	0.000
rs10441511 lBF = `5.58049` Chr`8` : `116,015,398`	0.717	0.283	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.713	0.287	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.707	0.293	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.698	0.302	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.694	0.306	0.000
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.689	0.311	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.687	0.313	0.000
rs115260498 lBF = `11.5409` Chr`4` : `92,258,655`	0.687	0.313	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.676	0.324	0.000
rs56411036 lBF = `9.01648` Chr`6` : `82,778,472`	0.676	0.324	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.668	0.332	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.667	0.333	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.665	0.335	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.664	0.336	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.663	0.337	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.661	0.339	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.661	0.339	0.000
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.660	0.340	0.000
rs17880758 lBF = `7.86576` Chr`14` : `65,409,096`	0.658	0.342	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.655	0.345	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.652	0.348	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.651	0.349	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.651	0.349	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.650	0.350	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.650	0.350	0.000
rs117071573 lBF = `13.8337` Chr`7` : `82,033,613`	0.648	0.352	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.647	0.353	0.000
rs62366280 lBF = `8.05999` Chr`5` : `60,849,318`	0.646	0.353	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.646	0.354	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.646	0.354	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.643	0.357	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.643	0.357	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.640	0.360	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.637	0.363	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.636	0.364	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.632	0.368	0.000
rs149578545 lBF = `13.004` Chr`6` : `33,923,324`	0.631	0.369	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.628	0.372	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.625	0.375	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.624	0.376	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.622	0.377	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.622	0.378	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.621	0.379	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.620	0.380	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.619	0.381	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.619	0.381	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.614	0.386	0.000
rs78730305 lBF = `9.92833` Chr`12` : `104,669,564`	0.613	0.387	0.000
rs12207186 lBF = `0.836971` Chr`6` : `162,314,921`	0.613	0.387	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.612	0.387	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.612	0.388	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.611	0.389	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.610	0.390	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.610	0.390	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.609	0.391	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.608	0.392	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.607	0.393	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.606	0.394	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.606	0.394	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.605	0.395	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.605	0.395	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.603	0.397	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.602	0.398	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.602	0.398	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.601	0.399	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.600	0.400	0.000
rs74669452 lBF = `14.43` Chr`2` : `234,623,898`	0.600	0.400	0.000
rs1511453 lBF = `0.95307` Chr`4` : `23,588,462`	0.600	0.400	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.597	0.403	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.596	0.404	0.000
rs66833356 lBF = `6.86881` Chr`5` : `936,466`	0.596	0.404	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.595	0.405	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.594	0.406	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.591	0.409	0.000
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.409	0.591
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.588	0.412	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.586	0.414	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.586	0.414	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.585	0.415	0.000
rs77247306 lBF = `5.19454` Chr`4` : `55,682,981`	0.584	0.416	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.582	0.418	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.582	0.418	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.582	0.418	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.581	0.419	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.580	0.420	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.580	0.420	0.000
Affx-21645068 lBF = `13.8948` Chr`3` : `17,152,151`	0.579	0.421	0.000
rs79677038 lBF = `13.4106` Chr`3` : `177,664,059`	0.579	0.421	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.577	0.423	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.576	0.424	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.575	0.425	0.000
rs10008980 lBF = `5.86369` Chr`4` : `189,258,322`	0.574	0.426	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.574	0.426	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.574	0.426	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.573	0.427	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.573	0.427	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.573	0.427	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.572	0.428	0.000
rs11090206 lBF = `13.1737` Chr`22` : `20,881,678`	0.572	0.428	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.572	0.428	0.000
rs116620409 lBF = `12.7917` Chr`2` : `46,121,281`	0.572	0.428	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.570	0.430	0.000
rs17740640 lBF = `5.1173` Chr`8` : `1,005,427`	0.569	0.431	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.568	0.432	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.567	0.432	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.567	0.433	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.565	0.435	0.000
rs80260767 lBF = `16.4535` Chr`10` : `99,803,425`	0.563	0.437	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.563	0.437	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.561	0.439	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.560	0.440	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.559	0.441	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.559	0.441	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.559	0.441	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.558	0.442	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.557	0.443	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.556	0.444	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.556	0.444	0.000
rs11880637 lBF = `3.65485` Chr`19` : `11,655,010`	0.555	0.445	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.555	0.445	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.554	0.446	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.553	0.447	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.553	0.447	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.552	0.448	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.552	0.448	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.551	0.449	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.551	0.449	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.551	0.449	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.550	0.450	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.550	0.450	0.000
rs78489084 lBF = `16.6721` Chr`3` : `132,240,307`	0.549	0.451	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.549	0.451	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.549	0.451	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.549	0.451	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.549	0.451	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.549	0.451	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.547	0.453	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.547	0.453	0.000
rs362885 lBF = `8.91981` Chr`6` : `146,676,552`	0.546	0.454	0.000
rs1535454 lBF = `0.810124` Chr`9` : `5,410,723`	0.546	0.454	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.545	0.455	0.000
rs13431384 lBF = `5.55384` Chr`2` : `127,310,661`	0.544	0.456	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.543	0.457	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.542	0.458	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.542	0.458	0.000
rs79330198 lBF = `10.5628` Chr`6` : `69,595,040`	0.541	0.459	0.000
rs7741164 lBF = `16.6103` Chr`6` : `41,493,412`	0.540	0.459	0.000
rs117556572 lBF = `18.3262` Chr`13` : `105,088,917`	0.540	0.459	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.540	0.460	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.539	0.461	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.537	0.463	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.537	0.463	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.537	0.463	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.536	0.464	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.536	0.464	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.536	0.464	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.535	0.465	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.534	0.466	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.534	0.466	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.534	0.466	0.000
rs17854409 lBF = `2.30972` Chr`20` : `61,491,494`	0.534	0.466	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.534	0.466	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.534	0.466	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.532	0.468	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.532	0.468	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.532	0.468	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.530	0.470	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.528	0.472	0.000
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.527	0.473	0.000
rs74726954 lBF = `15.8186` Chr`5` : `88,738,190`	0.527	0.473	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.527	0.473	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.527	0.473	0.000
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rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.449	0.551	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.449	0.551	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.448	0.552	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.447	0.553	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.447	0.553	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.447	0.553	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.446	0.553	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.446	0.554	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.446	0.554	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.445	0.555	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	0.445	0.555	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.445	0.555	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.444	0.556	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.444	0.556	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.443	0.556	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.443	0.557	0.000
rs78108191 lBF = `14.0382` Chr`11` : `87,613,189`	0.443	0.557	0.000
rs79490353 lBF = `11.9496` Chr`13` : `28,623,048`	0.443	0.557	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.442	0.557	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.442	0.558	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.442	0.558	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.442	0.558	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.441	0.559	0.000
rs77507119 lBF = `17.3947` Chr`7` : `124,093,649`	0.441	0.559	0.000
rs6951643 lBF = `0.395377` Chr`7` : `126,429,517`	0.441	0.559	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.440	0.559	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.440	0.560	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.440	0.560	0.000
rs150358287 lBF = `15.056` Chr`20` : `3,687,141`	0.440	0.560	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.440	0.560	0.000
rs6830001 lBF = `14.9054` Chr`4` : `109,026,801`	0.440	0.560	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.439	0.560	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.439	0.561	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.439	0.561	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.439	0.561	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.439	0.561	0.000
rs72790077 lBF = `17.8671` Chr`2` : `44,788,309`	0.439	0.561	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.438	0.562	0.000
rs308097 lBF = `9.87212` Chr`7` : `5,880,377`	0.438	0.562	0.000
rs79401038 lBF = `12.941` Chr`4` : `96,338,891`	0.438	0.562	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.438	0.562	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.437	0.563	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.436	0.564	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.436	0.564	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.436	0.564	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.436	0.564	0.000
Affx-17521858 lBF = `7.5796` Chr`21` : `23,325,246`	0.435	0.565	0.000
rs73180929 lBF = `14.6825` Chr`13` : `44,804,303`	0.435	0.565	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.435	0.565	0.000
rs75302082 lBF = `13.6236` Chr`11` : `19,684,290`	0.435	0.565	0.000
rs68184094 lBF = `0.543541` Chr`2` : `26,249,899`	0.435	0.565	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.435	0.565	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.435	0.565	0.000
rs11124622 lBF = `16.1796` Chr`2` : `38,091,790`	0.434	0.565	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.434	0.566	0.000
rs114632267 lBF = `14.7346` Chr`5` : `94,228,968`	0.434	0.566	0.000
rs4648 lBF = `17.381` Chr`1` : `201,934,578`	0.434	0.566	0.000
rs2981145 lBF = `12.2328` Chr`8` : `39,865,119`	0.434	0.566	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.434	0.566	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.434	0.566	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.433	0.567	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.433	0.567	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.433	0.567	0.000
rs76745078 lBF = `5.75125` Chr`14` : `48,380,258`	0.433	0.567	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.432	0.568	0.000
rs11707684 lBF = `5.89015` Chr`3` : `3,280,462`	0.432	0.568	0.000
rs61823177 lBF = `17.368` Chr`1` : `159,815,357`	0.432	0.568	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.432	0.568	0.000
rs77498573 lBF = `9.8696` Chr`11` : `48,350,646`	0.432	0.568	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.432	0.568	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.432	0.568	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.431	0.569	0.000
rs72679973 lBF = `12.3515` Chr`4` : `162,273,994`	0.431	0.569	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.431	0.569	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.430	0.570	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.430	0.570	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.430	0.570	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.430	0.570	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.430	0.570	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.430	0.570	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.429	0.571	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.429	0.571	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.429	0.571	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.429	0.571	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.428	0.572	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.428	0.572	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.428	0.572	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.428	0.572	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.428	0.572	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.427	0.573	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.427	0.573	0.000
rs12212785 lBF = `9.86996` Chr`6` : `71,133,763`	0.427	0.573	0.000
rs9451846 lBF = `18.5341` Chr`6` : `65,219,452`	0.427	0.573	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.427	0.573	0.000
rs10108954 lBF = `1.89999` Chr`8` : `8,722,378`	0.427	0.573	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2766

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1998

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9910

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9593

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9580

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9350

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9091

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.8923

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8906

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8850

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8632

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8444

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8217

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8210

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8092

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7997

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7727

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7485

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7322

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7263

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7193

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7091

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6988

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6759

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.6704

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6701

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6500

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6438

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6342

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6297

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6162

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6031

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5981

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5930

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5852

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.5697

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.5574

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5570

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5499

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5245

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5189

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5164

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5117

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5070

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4992

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4928

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4881

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4872

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4809

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4764

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.4750

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4695

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4627

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4609

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4558

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4272

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4182

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4101

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4068

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4017

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3972

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3959

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3820

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3745

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3532

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3527

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.3522

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3500

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3467

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3423

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3364

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3268

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3203

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.3200

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3115

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3075

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3038

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3030

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2959

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2934

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2902

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2896

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2887

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2841

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.2841

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.2811

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2774

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2742

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2618

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2531

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.2494

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2330

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2243

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.2210

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2133

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2043

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2025

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1985

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1978

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1966

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1944

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.1888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1869

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1850

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1849

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1839

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1835

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1807

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1762

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1739

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1720

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1471

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1451

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1441

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1343

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1337

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1328

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1288

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1276

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.1188

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1171

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1144

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1083

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.1080

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1003

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1000

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0951

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.0943

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0929

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0919

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0914

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0861

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0803

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0799

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.0744

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0702

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0634

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.0625

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0622

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.0585

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0573

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.0562

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.0549

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0533

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0523

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0509

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0506

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)