TreeWAS – [S72.2] Subtrochanteric fracture

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
rs1936801 lBF = `8.69095` Chr`6` : `127,436,313`	0.886	0.114	0.000
rs6932207 lBF = `14.5546` Chr`6` : `127,472,624`	0.855	0.145	0.000
rs6569474 lBF = `10.3158` Chr`6` : `127,493,611`	0.854	0.146	0.000
rs1892172 lBF = `11.5642` Chr`6` : `127,476,516`	0.852	0.148	0.000
rs4620145 lBF = `13.8318` Chr`6` : `127,490,524`	0.849	0.151	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.827	0.173	0.000
rs2357667 lBF = `2.503` Chr`8` : `66,955,437`	0.824	0.176	0.000
rs7741021 lBF = `13.5038` Chr`6` : `127,468,274`	0.000	0.176	0.823
rs79124699 lBF = `7.72862` Chr`17` : `64,093,897`	0.813	0.187	0.000
rs9491697 lBF = `8.57823` Chr`6` : `127,456,122`	0.000	0.188	0.812
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.810	0.190	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.809	0.191	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.800	0.200	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.798	0.202	0.000
rs72848438 lBF = `5.74751` Chr`17` : `77,991,750`	0.795	0.205	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.791	0.209	0.000
rs11067763 lBF = `4.33511` Chr`12` : `116,198,341`	0.785	0.215	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.785	0.215	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.784	0.216	0.000
rs12662228 lBF = `11.7641` Chr`6` : `55,191,559`	0.768	0.232	0.000
rs281289 lBF = `7.60865` Chr`15` : `47,682,079`	0.761	0.239	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.755	0.245	0.000
rs7154757 lBF = `6.00854` Chr`14` : `85,782,524`	0.749	0.251	0.000
rs79816080 lBF = `14.832` Chr`8` : `36,420,485`	0.748	0.252	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.746	0.254	0.000
rs972275 lBF = `8.46754` Chr`6` : `127,391,844`	0.745	0.255	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.743	0.257	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.741	0.259	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.734	0.266	0.000
rs61961930 lBF = `7.26678` Chr`13` : `58,301,852`	0.729	0.271	0.000
rs36107265 lBF = `5.41624` Chr`16` : `49,785,096`	0.726	0.274	0.000
rs9414944 lBF = `6.46013` Chr`10` : `68,623,412`	0.720	0.280	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.716	0.284	0.000
rs138840 lBF = `6.0293` Chr`22` : `50,181,915`	0.715	0.285	0.000
rs138851 lBF = `5.14095` Chr`22` : `50,193,636`	0.713	0.287	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.713	0.287	0.000
rs10908523 lBF = `11.6102` Chr`1` : `156,830,218`	0.712	0.288	0.000
rs79913058 lBF = `6.03764` Chr`10` : `73,019,552`	0.711	0.289	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.711	0.289	0.000
rs4977754 lBF = `7.24733` Chr`9` : `22,062,012`	0.711	0.289	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.710	0.290	0.000
rs11134797 lBF = `12.6738` Chr`5` : `172,860,596`	0.709	0.290	0.000
rs6907296 lBF = `14.4576` Chr`6` : `22,476,568`	0.708	0.292	0.000
rs1397230 lBF = `10.2387` Chr`3` : `161,797,310`	0.708	0.292	0.000
rs7745274 lBF = `5.70603` Chr`6` : `127,509,157`	0.000	0.293	0.707
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.706	0.294	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.706	0.294	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.705	0.294	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.705	0.295	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.704	0.296	0.000
rs73154010 lBF = `6.16515` Chr`3` : `161,840,540`	0.700	0.300	0.000
rs138812 lBF = `5.52275` Chr`22` : `50,160,983`	0.700	0.300	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.698	0.301	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.697	0.303	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.695	0.305	0.000
rs77425173 lBF = `10.1827` Chr`3` : `16,991,193`	0.695	0.305	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.694	0.306	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.693	0.307	0.000
rs111892515 lBF = `12.0702` Chr`21` : `23,392,906`	0.693	0.307	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.690	0.310	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.690	0.310	0.000
rs75743047 lBF = `9.47116` Chr`18` : `33,411,351`	0.690	0.310	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.689	0.311	0.000
rs17806457 lBF = `1.18049` Chr`9` : `112,891,635`	0.688	0.312	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.687	0.313	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.685	0.315	0.000
rs117535166 lBF = `1.25676` Chr`18` : `68,069,271`	0.685	0.315	0.000
rs71454665 lBF = `8.54321` Chr`12` : `121,198,711`	0.683	0.316	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.683	0.317	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.681	0.319	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.679	0.321	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.678	0.321	0.000
rs12475176 lBF = `5.95848` Chr`2` : `65,205,008`	0.678	0.322	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.675	0.324	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.674	0.326	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.672	0.328	0.000
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.670	0.330	0.000
rs76594396 lBF = `11.0301` Chr`8` : `5,443,735`	0.669	0.331	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.669	0.331	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.668	0.332	0.000
rs9321356 lBF = `5.85202` Chr`6` : `132,943,233`	0.668	0.332	0.000
rs57263982 lBF = `13.1493` Chr`19` : `18,726,211`	0.666	0.334	0.000
rs113402958 lBF = `6.87052` Chr`14` : `94,400,394`	0.666	0.334	0.000
rs73049732 lBF = `12.0096` Chr`3` : `25,343,723`	0.666	0.334	0.000
rs11542187 lBF = `16.6935` Chr`19` : `7,992,976`	0.665	0.334	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.665	0.335	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.665	0.335	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.664	0.336	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.664	0.336	0.000
rs117576029 lBF = `15.0372` Chr`18` : `33,093,123`	0.663	0.337	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.663	0.337	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.663	0.337	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.661	0.339	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.660	0.340	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.659	0.340	0.000
rs60705247 lBF = `7.77481` Chr`18` : `54,741,103`	0.659	0.340	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.659	0.341	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.659	0.341	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.658	0.342	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.658	0.342	0.000
rs75341196 lBF = `12.5825` Chr`5` : `110,919,007`	0.656	0.343	0.000
rs910798 lBF = `8.72513` Chr`22` : `50,278,438`	0.656	0.343	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.656	0.343	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.656	0.344	0.000
rs61961927 lBF = `11.2973` Chr`13` : `58,291,662`	0.656	0.344	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.656	0.344	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.655	0.344	0.000
rs2745353 lBF = `6.81799` Chr`6` : `127,452,935`	0.654	0.345	0.000
rs79756656 lBF = `7.23885` Chr`18` : `77,530,785`	0.654	0.346	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.653	0.346	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.653	0.347	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.653	0.347	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.652	0.348	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.651	0.349	0.000
rs7038114 lBF = `8.37975` Chr`9` : `79,382,773`	0.649	0.350	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.648	0.352	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.647	0.353	0.000
rs16877106 lBF = `2.21521` Chr`4` : `25,403,266`	0.646	0.354	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.646	0.354	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.646	0.354	0.000
rs13130255 lBF = `5.2962` Chr`4` : `43,537,600`	0.645	0.354	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.645	0.355	0.000
rs78803320 lBF = `9.53531` Chr`4` : `28,241,600`	0.645	0.355	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.644	0.356	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.643	0.357	0.000
rs2160519 lBF = `9.54207` Chr`12` : `13,787,846`	0.643	0.357	0.000
rs113674276 lBF = `11.1744` Chr`4` : `86,921,135`	0.642	0.357	0.000
rs16883538 lBF = `8.29592` Chr`6` : `74,001,098`	0.642	0.358	0.000
rs2503322 lBF = `7.40397` Chr`6` : `127,457,260`	0.000	0.359	0.641
rs71382995 lBF = `0.862182` Chr`17` : `41,858,623`	0.000	0.360	0.640
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.639	0.361	0.000
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.639	0.361	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.638	0.361	0.000
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.637	0.362	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.637	0.363	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.637	0.363	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.636	0.364	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.635	0.365	0.000
rs10271614 lBF = `9.31787` Chr`7` : `105,208,492`	0.635	0.365	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.635	0.365	0.000
rs77616023 lBF = `8.20137` Chr`8` : `57,336,601`	0.634	0.366	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.634	0.366	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.634	0.366	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.634	0.366	0.000
rs80281317 lBF = `8.78243` Chr`3` : `26,726,399`	0.633	0.366	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.632	0.368	0.000
rs6995402 lBF = `1.68623` Chr`8` : `145,005,561`	0.631	0.369	0.000
rs62355904 lBF = `14.6667` Chr`5` : `56,056,471`	0.631	0.369	0.000
rs75781704 lBF = `13.7978` Chr`6` : `47,909,123`	0.631	0.369	0.000
rs4416828 lBF = `6.22936` Chr`8` : `24,468,982`	0.630	0.369	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.630	0.370	0.000
rs116375068 lBF = `5.39278` Chr`2` : `12,212,803`	0.630	0.370	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.629	0.370	0.000
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.629	0.371	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.629	0.371	0.000
rs10852799 lBF = `10.56` Chr`17` : `11,522,764`	0.628	0.372	0.000
rs79847151 lBF = `6.99236` Chr`7` : `33,802,894`	0.628	0.372	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.627	0.372	0.000
rs73189054 lBF = `14.4361` Chr`5` : `102,170,617`	0.627	0.373	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.627	0.373	0.000
rs76663662 lBF = `14.0163` Chr`6` : `74,163,083`	0.626	0.373	0.000
rs111508397 lBF = `18.9812` Chr`6` : `8,828,609`	0.626	0.373	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.626	0.374	0.000
rs11059555 lBF = `14.4188` Chr`12` : `128,646,039`	0.626	0.374	0.000
rs116447103 lBF = `10.8199` Chr`2` : `86,545,425`	0.626	0.374	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.626	0.374	0.000
rs2089222 lBF = `1.58966` Chr`12` : `117,002,658`	0.626	0.374	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.625	0.375	0.000
rs62355136 lBF = `13.1622` Chr`5` : `30,714,599`	0.625	0.375	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.624	0.375	0.000
rs72772859 lBF = `13.2083` Chr`10` : `430,105`	0.624	0.376	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.623	0.377	0.000
rs2223717 lBF = `7.00229` Chr`20` : `10,702,162`	0.623	0.377	0.000
rs62243877 lBF = `8.18156` Chr`3` : `62,175,417`	0.622	0.378	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.622	0.378	0.000
rs11706566 lBF = `11.9547` Chr`3` : `132,292,939`	0.621	0.379	0.000
rs910797 lBF = `7.17595` Chr`22` : `50,277,883`	0.619	0.380	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.619	0.381	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.619	0.381	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.618	0.382	0.000
rs62354080 lBF = `15.2122` Chr`4` : `188,370,696`	0.618	0.382	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.617	0.383	0.000
rs9559841 lBF = `15.9157` Chr`13` : `111,191,681`	0.617	0.383	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.616	0.384	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.616	0.384	0.000
rs75095063 lBF = `21.3072` Chr`11` : `35,550,982`	0.615	0.385	0.000
rs12994538 lBF = `8.90381` Chr`2` : `151,754,956`	0.615	0.385	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.615	0.385	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.614	0.386	0.000
rs268 lBF = `17.5199` Chr`8` : `19,813,529`	0.613	0.386	0.000
rs74967533 lBF = `15.4786` Chr`6` : `28,281,804`	0.613	0.387	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.612	0.388	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.612	0.388	0.000
rs117898740 lBF = `16.4579` Chr`17` : `78,886,505`	0.611	0.389	0.000
rs77638425 lBF = `14.0839` Chr`20` : `6,281,653`	0.611	0.389	0.000
rs73933942 lBF = `1.44147` Chr`2` : `53,313,468`	0.610	0.390	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.609	0.391	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.609	0.391	0.000
rs2826762 lBF = `7.61206` Chr`21` : `22,649,414`	0.608	0.391	0.000
rs753057 lBF = `7.13839` Chr`13` : `113,797,801`	0.608	0.392	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.608	0.392	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.607	0.393	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.607	0.393	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.606	0.394	0.000
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rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.597	0.402	0.000
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rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.547	0.452	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.547	0.453	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.547	0.453	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.547	0.453	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.546	0.454	0.000
rs117898212 lBF = `11.208` Chr`18` : `46,947,056`	0.546	0.454	0.000
rs9446777 lBF = `6.12687` Chr`6` : `73,581,051`	0.546	0.454	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.546	0.454	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.545	0.454	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.545	0.455	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.545	0.455	0.000
rs115154496 lBF = `15.2955` Chr`4` : `153,661,060`	0.545	0.455	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.545	0.455	0.000
rs4378452 lBF = `20.7259` Chr`12` : `111,504,033`	0.545	0.455	0.000
rs78113488 lBF = `7.12858` Chr`14` : `49,543,462`	0.545	0.455	0.000
rs117032670 lBF = `19.5025` Chr`17` : `7,807,438`	0.545	0.455	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.545	0.455	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.545	0.455	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.545	0.455	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.544	0.455	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.544	0.456	0.000
rs79811951 lBF = `11.8332` Chr`1` : `52,153,714`	0.544	0.456	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.544	0.456	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.544	0.456	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.544	0.456	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.544	0.456	0.000
rs34120730 lBF = `12.3059` Chr`8` : `75,405,303`	0.544	0.456	0.000
Affx-19812848 lBF = `7.86531` Chr`22` : `50,319,079`	0.544	0.456	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.543	0.456	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.543	0.457	0.000
rs77975668 lBF = `9.39881` Chr`7` : `23,049,393`	0.543	0.457	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.543	0.457	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.542	0.457	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.542	0.458	0.000
rs66897193 lBF = `11.4268` Chr`2` : `201,101,507`	0.542	0.458	0.000
rs35348828 lBF = `15.0337` Chr`3` : `177,179,941`	0.542	0.458	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.542	0.458	0.000
rs41512245 lBF = `15.7775` Chr`18` : `73,278,094`	0.542	0.458	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.542	0.458	0.000
rs7558007 lBF = `7.10506` Chr`2` : `58,350,504`	0.541	0.458	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.541	0.458	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.541	0.459	0.000
rs79802820 lBF = `18.8126` Chr`1` : `216,046,129`	0.541	0.459	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.541	0.459	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.541	0.459	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.541	0.459	0.000
rs12308914 lBF = `12.8877` Chr`12` : `104,633,842`	0.541	0.459	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.540	0.459	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.540	0.460	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.540	0.460	0.000
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.540	0.460	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.539	0.460	0.000
rs75084112 lBF = `14.3283` Chr`13` : `79,854,557`	0.539	0.460	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.539	0.460	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.539	0.461	0.000
rs59552706 lBF = `7.80425` Chr`20` : `10,714,315`	0.539	0.461	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.538	0.462	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.538	0.462	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.538	0.462	0.000
rs67199640 lBF = `6.01397` Chr`9` : `84,306,876`	0.538	0.462	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.538	0.462	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.538	0.462	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.538	0.462	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.537	0.462	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.537	0.463	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.537	0.463	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.537	0.463	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.537	0.463	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.537	0.463	0.000
rs1493165 lBF = `10.5936` Chr`4` : `28,663,224`	0.536	0.463	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.536	0.464	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.536	0.464	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.536	0.464	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.536	0.464	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.536	0.464	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.535	0.464	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.535	0.465	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.535	0.465	0.000
rs79019069 lBF = `4.63997` Chr`3` : `148,481,023`	0.534	0.466	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.534	0.466	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.534	0.466	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.533	0.466	0.000
rs117802660 lBF = `15.852` Chr`21` : `27,198,954`	0.533	0.467	0.000
rs9491696 lBF = `9.01264` Chr`6` : `127,452,639`	0.000	0.467	0.533
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.533	0.467	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.533	0.467	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.533	0.467	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.533	0.467	0.000
rs77626873 lBF = `16.2935` Chr`4` : `146,075,220`	0.533	0.467	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.533	0.467	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.532	0.467	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.532	0.468	0.000
rs80301223 lBF = `12.0195` Chr`8` : `119,648,160`	0.532	0.468	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.532	0.468	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

0.4558

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2656

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9754

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9640

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9571

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9530

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9502

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9493

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9477

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9386

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9301

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9231

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9000

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8997

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8935

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.8870

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.8818

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8763

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8754

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8738

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8731

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8730

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8723

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8640

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8622

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.8546

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.8534

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8334

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8297

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8177

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8130

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.8129

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8039

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8033

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.8017

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8001

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7981

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.7932

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7906

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7862

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7849

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7822

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7797

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7782

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7726

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7700

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7685

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7655

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7626

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7621

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.7619

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7600

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7582

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7569

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7553

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7520

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7496

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.7454

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7429

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7418

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7415

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7405

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7391

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7362

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7338

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7316

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7315

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7272

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7251

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7193

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7179

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7151

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7124

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7123

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7116

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7112

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7112

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7058

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7019

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6999

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6994

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6992

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6984

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6965

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6963

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6914

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6913

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6912

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6863

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6787

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6786

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.6742

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6687

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.6587

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6523

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6460

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6354

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6308

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6306

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6304

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.6287

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6224

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6164

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.6161

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6150

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6086

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6078

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.6055

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6045

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5973

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5935

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5878

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5733

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5680

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5678

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5605

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5559

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5499

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5452

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5415

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5395

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5360

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5353

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.5183

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5124

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5114

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5097

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5074

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.5070

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5068

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5025

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4875

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4806

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4800

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4752

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4675

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4663

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4646

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4524

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4508

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4439

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4322

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.4243

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4228

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4162

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4145

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4064

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4051

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4020

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3945

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3920

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3917

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3868

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3853

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3821

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.3798

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.3775

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3752

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3725

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3712

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.3711

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3462

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3384

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3365

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3355

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3349

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3340

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3332

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3257

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3232

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.3201

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3145

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3143

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3122

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3068

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3062

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3042

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.3032

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2985

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2894

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2847

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2708

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2698

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2694

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2689

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2552

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2444

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.2007

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1949

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.1931

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.1791

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1785

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1598

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1518

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1466

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1455

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1412

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1408

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1295

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.1206

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1203

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1057

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0991

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0987

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0963

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0934

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0910

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.0883

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0799

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.0745

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0743

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0618

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.

Parent term	S72 Fracture of femur
Nested terms	S72.20 Subtrochanteric fracture (closed) S72.21 Subtrochanteric fracture (open)

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`)