TreeWAS – [D16] Benign neoplasm of bone and articular cartilage

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
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.847	0.153	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.802	0.198	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.801	0.199	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.779	0.221	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.776	0.224	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.768	0.232	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.745	0.255	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.717	0.283	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.716	0.284	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.716	0.284	0.000
rs114249449 lBF = `15.308` Chr`1` : `39,257,678`	0.716	0.284	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.715	0.285	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.714	0.286	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.714	0.286	0.000
rs12754465 lBF = `13.0653` Chr`1` : `74,675,210`	0.713	0.286	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.713	0.287	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.711	0.289	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.709	0.291	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.709	0.291	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.703	0.297	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.702	0.298	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.702	0.298	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.701	0.298	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.701	0.299	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.700	0.300	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.698	0.302	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.696	0.304	0.000
rs139052640 lBF = `3.08938` Chr`1` : `212,728,370`	0.694	0.306	0.000
rs75030245 lBF = `16.7045` Chr`1` : `209,331,985`	0.691	0.309	0.000
rs191448950 lBF = `12.8335` Chr`1` : `55,584,844`	0.688	0.312	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.687	0.312	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.685	0.315	0.000
rs116198372 lBF = `12.3372` Chr`1` : `164,253,991`	0.684	0.316	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.681	0.319	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.674	0.326	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.674	0.326	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.671	0.329	0.000
rs115686841 lBF = `19.4793` Chr`1` : `168,849,245`	0.667	0.333	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.667	0.333	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.666	0.334	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.665	0.335	0.000
rs186507655 lBF = `20.9052` Chr`1` : `1,287,055`	0.661	0.339	0.000
rs12077060 lBF = `11.4093` Chr`1` : `97,453,507`	0.659	0.341	0.000
rs114080907 lBF = `15.1857` Chr`1` : `21,077,245`	0.650	0.349	0.000
rs181424343 lBF = `5.27138` Chr`1` : `218,594,484`	0.649	0.351	0.000
rs114685215 lBF = `1.06238` Chr`1` : `113,068,722`	0.649	0.351	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.647	0.353	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.645	0.355	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.642	0.358	0.000
rs77271258 lBF = `17.9401` Chr`1` : `218,056,637`	0.640	0.360	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.635	0.365	0.000
rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.631	0.368	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.629	0.371	0.000
rs116152102 lBF = `12.5496` Chr`1` : `72,896,151`	0.629	0.371	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.628	0.372	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.625	0.375	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.621	0.379	0.000
rs16830359 lBF = `1.00347` Chr`1` : `43,596,384`	0.612	0.387	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.612	0.388	0.000
rs3917438 lBF = `9.0791` Chr`1` : `169,693,850`	0.612	0.388	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.610	0.390	0.000
rs41307810 lBF = `8.50949` Chr`1` : `22,354,045`	0.610	0.390	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.607	0.393	0.000
rs114786810 lBF = `15.296` Chr`1` : `163,312,552`	0.606	0.394	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.606	0.394	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.605	0.395	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.601	0.399	0.000
rs116716590 lBF = `15.2227` Chr`1` : `230,953,151`	0.597	0.402	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.595	0.405	0.000
rs116065238 lBF = `1.13019` Chr`1` : `171,451,422`	0.591	0.409	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.582	0.418	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.579	0.421	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.576	0.424	0.000
rs12073504 lBF = `0.721326` Chr`1` : `2,452,979`	0.574	0.426	0.000
rs114741897 lBF = `24.5668` Chr`1` : `83,123,157`	0.567	0.433	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.564	0.436	0.000
rs114425738 lBF = `14.7301` Chr`1` : `92,171,673`	0.559	0.441	0.000
rs61813875 lBF = `3.16834` Chr`1` : `152,536,650`	0.557	0.443	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.551	0.448	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.547	0.453	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.541	0.458	0.000
rs3753573 lBF = `2.28353` Chr`1` : `185,014,002`	0.537	0.462	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.537	0.463	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.532	0.468	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.521	0.479	0.000
rs78564108 lBF = `16.1348` Chr`1` : `196,331,529`	0.520	0.480	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.512	0.488	0.000
rs116565407 lBF = `17.0908` Chr`1` : `95,653,238`	0.507	0.493	0.000
rs76597070 lBF = `0.966564` Chr`1` : `3,669,356`	0.503	0.497	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.503	0.497	0.000
rs77737545 lBF = `16.821` Chr`1` : `241,976,607`	0.498	0.502	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.488	0.512	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.487	0.513	0.000
rs7552806 lBF = `1.86704` Chr`1` : `204,784,018`	0.481	0.518	0.000
rs191953093 lBF = `2.3996` Chr`1` : `181,006,881`	0.478	0.522	0.000
rs3117761 lBF = `17.5062` Chr`1` : `177,722,715`	0.477	0.522	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.474	0.526	0.000
rs76759221 lBF = `2.08624` Chr`1` : `239,716,845`	0.474	0.526	0.000
rs116493700 lBF = `2.86878` Chr`1` : `211,738,467`	0.464	0.536	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.459	0.541	0.000
rs2445130 lBF = `3.88787` Chr`1` : `22,237,722`	0.443	0.557	0.000
rs11265263 lBF = `1.27203` Chr`1` : `159,710,517`	0.442	0.558	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.436	0.563	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.432	0.568	0.000
rs185275068 lBF = `3.56551` Chr`1` : `239,607,289`	0.430	0.570	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.427	0.573	0.000
rs186478 lBF = `1.388` Chr`1` : `49,177,150`	0.426	0.574	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.425	0.575	0.000
rs12067906 lBF = `4.52198` Chr`1` : `192,431,998`	0.409	0.591	0.000
rs74434895 lBF = `13.5663` Chr`1` : `113,934,072`	0.407	0.593	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.389	0.611	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.379	0.620	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.377	0.623	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.368	0.632	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.364	0.636	0.000
rs78743131 lBF = `0.586096` Chr`1` : `182,721,899`	0.359	0.641	0.000
rs116643857 lBF = `13.6545` Chr`1` : `66,256,127`	0.351	0.649	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.350	0.650	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.349	0.651	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.348	0.652	0.000
rs12136800 lBF = `0.471537` Chr`1` : `14,605,334`	0.340	0.660	0.000
rs76264265 lBF = `4.07118` Chr`1` : `37,309,390`	0.340	0.660	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.320	0.680	0.000
rs1998013 lBF = `0.626116` Chr`1` : `55,958,030`	0.319	0.680	0.000
rs72960692 lBF = `13.056` Chr`1` : `43,467,276`	0.318	0.682	0.000
rs149819415 lBF = `0.309779` Chr`1` : `193,639,627`	0.310	0.689	0.000
rs7551641 lBF = `0.609224` Chr`1` : `120,017,927`	0.307	0.693	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.305	0.695	0.000
rs79036927 lBF = `0.30723` Chr`1` : `164,244,275`	0.300	0.700	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.288	0.711	0.000
rs12123821 lBF = `14.5195` Chr`1` : `152,179,152`	0.283	0.717	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.282	0.718	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.277	0.723	0.000
rs143772911 lBF = `15.6337` Chr`1` : `226,095,237`	0.272	0.728	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.272	0.728	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.272	0.728	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.271	0.729	0.000
rs17368073 lBF = `7.77278` Chr`1` : `77,222,172`	0.267	0.733	0.000
rs76574709 lBF = `17.264` Chr`1` : `12,743,326`	0.263	0.735	0.002
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.264	0.736	0.000
rs115199861 lBF = `0.210821` Chr`1` : `171,640,019`	0.256	0.744	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.252	0.748	0.000
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.252	0.748	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.244	0.756	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.238	0.762	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.231	0.769	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.224	0.775	0.000
rs12725009 lBF = `3.38119` Chr`1` : `3,413,997`	0.224	0.775	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.224	0.776	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.213	0.787	0.000
rs16863247 lBF = `1.99981` Chr`1` : `162,505,496`	0.208	0.792	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.205	0.795	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.204	0.795	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.204	0.795	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.204	0.796	0.000
rs76712070 lBF = `85.9674` Chr`1` : `243,050,615`	0.200	0.799	0.001
rs112833835 lBF = `14.7107` Chr`1` : `225,084,059`	0.196	0.804	0.000
rs10480 lBF = `12.2881` Chr`1` : `150,280,546`	0.194	0.806	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.192	0.808	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.186	0.814	0.000
rs115263666 lBF = `19.98` Chr`1` : `195,978,714`	0.184	0.816	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.176	0.824	0.000
rs115083581 lBF = `14.4282` Chr`1` : `36,376,992`	0.175	0.825	0.000
rs72681282 lBF = `17.294` Chr`1` : `103,221,787`	0.173	0.827	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.172	0.828	0.000
rs76977469 lBF = `13.872` Chr`1` : `64,889,840`	0.160	0.840	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.159	0.841	0.000
rs114453190 lBF = `8.74964` Chr`1` : `8,675,291`	0.157	0.842	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.157	0.843	0.000
rs56286522 lBF = `14.5169` Chr`1` : `99,517,636`	0.153	0.846	0.000
rs77830002 lBF = `0.132547` Chr`1` : `239,699,829`	0.153	0.847	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.151	0.849	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.148	0.852	0.000
rs72733621 lBF = `22.9939` Chr`1` : `102,582,730`	0.148	0.852	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.146	0.853	0.000
rs56272623 lBF = `7.6017` Chr`1` : `28,840,940`	0.145	0.855	0.000
rs11588060 lBF = `11.4172` Chr`1` : `24,583,035`	0.144	0.856	0.000
rs2290854 lBF = `11.7131` Chr`1` : `204,516,025`	0.143	0.857	0.000
rs115165870 lBF = `10.7118` Chr`1` : `154,303,228`	0.143	0.857	0.000
rs11121452 lBF = `0.141579` Chr`1` : `9,674,172`	0.140	0.860	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.140	0.860	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.136	0.864	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.136	0.864	0.000
rs77135516 lBF = `13.8756` Chr`1` : `229,994,958`	0.132	0.868	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.129	0.871	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.128	0.872	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.127	0.873	0.000
rs6658988 lBF = `17.8339` Chr`1` : `4,987,953`	0.124	0.876	0.001
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.117	0.883	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.116	0.884	0.000
rs115445154 lBF = `14.8843` Chr`1` : `81,921,812`	0.114	0.886	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.114	0.886	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.113	0.886	0.000
rs57142672 lBF = `2.05332` Chr`1` : `17,744,536`	0.101	0.899	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.094	0.905	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.003	0.910	0.087
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.089	0.911	0.000
rs34856868 lBF = `6.11916` Chr`1` : `92,554,283`	0.089	0.911	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.086	0.911	0.003
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.086	0.914	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.085	0.915	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.081	0.918	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.081	0.918	0.000
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rs7532866 lBF = `-0.0434716` Chr`1` : `26,741,544`	0.002	0.998	0.000
rs41277200 lBF = `10.0757` Chr`1` : `216,051,125`	0.002	0.998	0.000
rs1218582 lBF = `-0.036992` Chr`1` : `154,834,183`	0.002	0.998	0.000
rs2808382 lBF = `0.00127911` Chr`1` : `212,091,948`	0.002	0.998	0.000
rs12129573 lBF = `-0.0882028` Chr`1` : `73,768,366`	0.002	0.998	0.000
rs12117544 lBF = `0.0329984` Chr`1` : `38,247,153`	0.002	0.998	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.000	0.998	0.002
rs12040612 lBF = `11.6254` Chr`1` : `81,943,332`	0.002	0.998	0.000
rs2226263 lBF = `1.86827` Chr`1` : `41,854,946`	0.002	0.998	0.000
rs79508250 lBF = `6.08983` Chr`1` : `229,579,295`	0.002	0.998	0.000
rs1775148 lBF = `0.175755` Chr`1` : `205,757,824`	0.002	0.998	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.002	0.998	0.000
rs3014707 lBF = `0.00113315` Chr`1` : `26,009,459`	0.002	0.998	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.002	0.998	0.000
rs1396626 lBF = `-0.049009` Chr`1` : `96,025,546`	0.002	0.998	0.000
rs10890032 lBF = `-0.0892167` Chr`1` : `73,789,324`	0.000	0.998	0.002
rs6693039 lBF = `-0.0260876` Chr`1` : `218,654,507`	0.002	0.998	0.000
rs12040654 lBF = `-0.0276159` Chr`1` : `218,660,277`	0.002	0.998	0.000
rs11163302 lBF = `8.17131` Chr`1` : `81,943,906`	0.002	0.998	0.000
rs12047243 lBF = `-0.0296633` Chr`1` : `218,684,840`	0.002	0.998	0.000
rs12026168 lBF = `0.00540353` Chr`1` : `218,684,846`	0.002	0.998	0.000
rs12026169 lBF = `0.00540353` Chr`1` : `218,684,850`	0.002	0.998	0.000
rs1317681 lBF = `-0.00944701` Chr`1` : `218,575,202`	0.002	0.998	0.000
rs1015275 lBF = `-0.0289835` Chr`1` : `218,670,141`	0.002	0.998	0.000
rs6668599 lBF = `-0.029302` Chr`1` : `218,674,930`	0.002	0.998	0.000
rs6656475 lBF = `-0.0302842` Chr`1` : `218,675,405`	0.002	0.998	0.000
rs12039922 lBF = `-0.0303127` Chr`1` : `218,673,815`	0.002	0.998	0.000
rs12025796 lBF = `-0.0303127` Chr`1` : `218,674,002`	0.002	0.998	0.000
rs72738842 lBF = `-0.0303127` Chr`1` : `218,672,807`	0.002	0.998	0.000
rs11118112 lBF = `-0.030663` Chr`1` : `218,673,257`	0.002	0.998	0.000
rs12041344 lBF = `-0.0307688` Chr`1` : `218,677,059`	0.002	0.998	0.000
rs882251 lBF = `-0.0307688` Chr`1` : `218,676,683`	0.002	0.998	0.000
rs6604617 lBF = `-0.0308151` Chr`1` : `218,675,518`	0.002	0.998	0.000
rs7537063 lBF = `-0.030882` Chr`1` : `218,676,233`	0.002	0.998	0.000
rs72738844 lBF = `-0.0331495` Chr`1` : `218,674,597`	0.002	0.998	0.000
rs72738843 lBF = `-0.0299767` Chr`1` : `218,674,236`	0.002	0.998	0.000
rs882252 lBF = `-0.0305413` Chr`1` : `218,676,964`	0.002	0.998	0.000
rs4012266 lBF = `-0.0305885` Chr`1` : `218,664,808`	0.002	0.998	0.000
rs6666152 lBF = `-0.0309013` Chr`1` : `218,674,875`	0.002	0.998	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.002	0.998	0.000
rs56398881 lBF = `-0.0223939` Chr`1` : `218,678,623`	0.002	0.998	0.000
rs10429952 lBF = `-0.0179626` Chr`1` : `218,681,098`	0.002	0.998	0.000
rs10429951 lBF = `-0.0181189` Chr`1` : `218,680,976`	0.002	0.998	0.000
rs11118114 lBF = `-0.0186227` Chr`1` : `218,679,686`	0.002	0.998	0.000
rs6604620 lBF = `-0.0189458` Chr`1` : `218,686,743`	0.002	0.998	0.000
rs7528401 lBF = `-0.0190116` Chr`1` : `218,680,738`	0.002	0.998	0.000
rs112756090 lBF = `-0.0190116` Chr`1` : `218,681,375`	0.002	0.998	0.000
rs12563082 lBF = `-0.0190116` Chr`1` : `218,679,730`	0.002	0.998	0.000
rs72738851 lBF = `-0.0190116` Chr`1` : `218,681,309`	0.002	0.998	0.000
rs12039493 lBF = `-0.0192035` Chr`1` : `218,678,299`	0.002	0.998	0.000
rs150751768 lBF = `-0.0192035` Chr`1` : `218,677,803`	0.002	0.998	0.000
rs7553145 lBF = `-0.0192101` Chr`1` : `218,681,552`	0.002	0.998	0.000
rs72738854 lBF = `-0.0192101` Chr`1` : `218,682,261`	0.002	0.998	0.000
rs7553124 lBF = `-0.0192101` Chr`1` : `218,681,502`	0.002	0.998	0.000
rs7536603 lBF = `-0.0192101` Chr`1` : `218,679,390`	0.002	0.998	0.000
rs12022110 lBF = `-0.0195854` Chr`1` : `218,687,795`	0.002	0.998	0.000
rs6604621 lBF = `-0.0197229` Chr`1` : `218,686,955`	0.002	0.998	0.000
rs12048013 lBF = `-0.0198254` Chr`1` : `218,685,131`	0.002	0.998	0.000
rs6675293 lBF = `-0.0198949` Chr`1` : `218,682,827`	0.002	0.998	0.000
rs7532546 lBF = `-0.0201125` Chr`1` : `218,683,528`	0.002	0.998	0.000
rs7545447 lBF = `-0.0201125` Chr`1` : `218,684,017`	0.002	0.998	0.000
rs7532551 lBF = `-0.0201125` Chr`1` : `218,683,536`	0.002	0.998	0.000
rs12040383 lBF = `-0.0201846` Chr`1` : `218,685,060`	0.002	0.998	0.000
rs12048052 lBF = `-0.0201846` Chr`1` : `218,685,288`	0.002	0.998	0.000
rs6690726 lBF = `-0.0202219` Chr`1` : `218,678,701`	0.002	0.998	0.000
rs72738857 lBF = `-0.020663` Chr`1` : `218,685,719`	0.002	0.998	0.000
rs10752881 lBF = `2.01624` Chr`1` : `182,973,491`	0.000	0.998	0.002
rs181502228 lBF = `0.00127378` Chr`1` : `205,509,298`	0.001	0.998	0.000
rs12045026 lBF = `-0.0209891` Chr`1` : `218,685,995`	0.002	0.998	0.000
rs181020201 lBF = `0.00114646` Chr`1` : `51,600,062`	0.001	0.998	0.000
rs10800454 lBF = `16.2354` Chr`1` : `169,509,163`	0.002	0.998	0.000
rs138897663 lBF = `0.00037918` Chr`1` : `105,455,502`	0.001	0.998	0.000
rs12045693 lBF = `-0.0496787` Chr`1` : `2,205,581`	0.000	0.998	0.002
rs2056417 lBF = `0.0319457` Chr`1` : `10,581,658`	0.002	0.998	0.000
rs2689154 lBF = `-0.0350494` Chr`1` : `238,908,353`	0.000	0.998	0.002
rs1761375 lBF = `6.09751` Chr`1` : `94,538,011`	0.002	0.998	0.000
rs823094 lBF = `0.0510945` Chr`1` : `205,689,807`	0.002	0.998	0.000
rs7550169 lBF = `-0.0794377` Chr`1` : `233,294,777`	0.000	0.998	0.002
rs6604623 lBF = `-0.0227107` Chr`1` : `218,688,836`	0.001	0.999	0.000
rs12565438 lBF = `-0.0246723` Chr`1` : `218,693,452`	0.001	0.999	0.000
rs4357586 lBF = `-0.0247147` Chr`1` : `218,689,374`	0.001	0.999	0.000
rs12022585 lBF = `-0.0247147` Chr`1` : `218,691,132`	0.001	0.999	0.000
rs12032263 lBF = `-0.0247147` Chr`1` : `218,690,852`	0.001	0.999	0.000
rs7516501 lBF = `-0.0247147` Chr`1` : `218,689,286`	0.001	0.999	0.000
rs6665024 lBF = `-0.0247147` Chr`1` : `218,690,577`	0.001	0.999	0.000
rs12025970 lBF = `-0.0250895` Chr`1` : `218,691,502`	0.001	0.999	0.000
rs12033060 lBF = `-0.0250895` Chr`1` : `218,691,314`	0.001	0.999	0.000
rs12568141 lBF = `-0.0256364` Chr`1` : `218,689,459`	0.001	0.999	0.000
rs192525030 lBF = `0.00089972` Chr`1` : `208,670,707`	0.001	0.999	0.000
rs11118118 lBF = `-0.0252086` Chr`1` : `218,693,691`	0.001	0.999	0.000
rs6666381 lBF = `0.0237275` Chr`1` : `218,628,024`	0.001	0.999	0.000
rs12566957 lBF = `8.65724` Chr`1` : `204,556,958`	0.000	0.999	0.001
rs1473527 lBF = `0.0133438` Chr`1` : `218,622,319`	0.001	0.999	0.000
rs4601530 lBF = `-0.0384919` Chr`1` : `25,044,111`	0.001	0.999	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.001	0.999	0.000
rs41271951 lBF = `5.42761` Chr`1` : `150,737,220`	0.001	0.999	0.000
rs12058524 lBF = `0.00019411` Chr`1` : `150,066,384`	0.001	0.999	0.000
rs1256328 lBF = `11.6088` Chr`1` : `21,896,767`	0.001	0.999	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.4038

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1901

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9999

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9993

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.9993

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9984

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9982

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9948

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9947

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9917

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9868

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9851

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9767

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9747

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9639

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9580

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.9493

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9475

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9432

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9391

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9372

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9317

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9294

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9282

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9116

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9052

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9037

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9017

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8998

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8978

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8962

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8956

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8918

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8870

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.8870

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8841

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8833

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8820

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.8777

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8758

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8741

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8734

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8680

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8677

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8661

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.8655

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8636

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8597

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8581

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8561

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8553

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8552

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8544

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.8537

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8523

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8434

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8380

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8362

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8350

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8323

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8298

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8287

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8213

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8123

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8118

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8072

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8027

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8027

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.7988

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7973

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7957

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7945

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7922

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7874

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7754

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7748

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7718

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7677

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7636

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7629

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7547

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7538

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7468

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7254

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7169

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7169

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7169

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7169

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7169

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7169

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7169

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7168

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7166

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7166

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7140

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7138

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7135

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7129

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7109

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7055

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7053

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7026

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7025

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6910

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6899

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6830

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.6678

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6660

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6658

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6546

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6408

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6205

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6041

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5980

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.5588

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5508

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5477

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5473

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.5414

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.5057

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.4901

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4854

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4469

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4252

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3873

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3866

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.3770

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3580

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3572

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3545

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3532

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3273

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2979

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2768

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.2647

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2497

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2372

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2329

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1428

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1300

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.1246

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1159

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1146

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1140

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.1094

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.0982

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0962

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.0955

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0908

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0781

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0771

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0764

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.0679

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0644

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0625

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0607

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0564

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0560

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.0511

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.0511

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	D10-D36 Benign neoplasms
Nested terms	D16.0 Scapula and long bones of upper limb D16.1 Short bones of upper limb D16.2 Long bones of lower limb D16.3 Short bones of lower limb D16.4 Bones of skull and face D16.5 Lower jaw bone D16.6 Vertebral column D16.7 Ribs, sternum and clavicle D16.8 Pelvic bones, sacrum and coccyx D16.9 Bone and articular cartilage, unspecified

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`)