TreeWAS – [D03.6] Melanoma <i>in situ</i> of upper limb, including shoulder

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
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.995	0.005	0.000
rs12203592 lBF = `220.671` Chr`6` : `396,321`	0.989	0.011	0.000
rs4268748 lBF = `74.4938` Chr`16` : `90,026,512`	0.988	0.012	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.987	0.013	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.986	0.014	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.984	0.016	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.981	0.019	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.979	0.021	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.024	0.976
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.967	0.033	0.000
rs11126117 lBF = `5.81076` Chr`2` : `67,479,214`	0.966	0.034	0.000
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.965	0.035	0.000
rs4785763 lBF = `42.4819` Chr`16` : `90,066,936`	0.961	0.039	0.000
rs12931267 lBF = `96.3446` Chr`16` : `89,818,732`	0.960	0.040	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.959	0.041	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.045	0.955
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.953	0.047	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.952	0.048	0.000
rs12202284 lBF = `42.0482` Chr`6` : `471,136`	0.947	0.053	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.946	0.054	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.945	0.055	0.000
rs73283869 lBF = `75.7962` Chr`16` : `90,067,184`	0.943	0.057	0.000
rs62389423 lBF = `145.226` Chr`6` : `421,281`	0.941	0.059	0.000
rs8049897 lBF = `68.2005` Chr`16` : `90,024,202`	0.938	0.062	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.938	0.062	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.935	0.065	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.933	0.067	0.000
rs62389424 lBF = `141.95` Chr`6` : `422,631`	0.932	0.068	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.923	0.077	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.923	0.077	0.000
rs4238833 lBF = `35.5128` Chr`16` : `90,050,689`	0.920	0.080	0.000
rs619865 lBF = `38.3242` Chr`20` : `33,867,697`	0.918	0.082	0.000
rs17421899 lBF = `37.8495` Chr`20` : `33,935,438`	0.917	0.083	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.912	0.088	0.000
rs74849579 lBF = `40.3849` Chr`20` : `33,874,188`	0.911	0.089	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.897	0.103	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.894	0.106	0.000
rs6922111 lBF = `93.7796` Chr`6` : `28,325,308`	0.888	0.112	0.000
rs12924101 lBF = `17.8734` Chr`16` : `89,862,906`	0.883	0.117	0.000
rs6921919 lBF = `92.1777` Chr`6` : `28,325,201`	0.880	0.120	0.000
rs79500346 lBF = `5.77595` Chr`4` : `59,614,702`	0.879	0.121	0.000
rs7023954 lBF = `12.2706` Chr`9` : `21,816,758`	0.000	0.122	0.878
rs79749933 lBF = `9.58226` Chr`14` : `87,560,818`	0.871	0.129	0.000
rs910873 lBF = `54.6626` Chr`20` : `33,171,772`	0.869	0.131	0.000
rs6059655 lBF = `63.7004` Chr`20` : `32,665,748`	0.000	0.142	0.858
rs62212235 lBF = `44.7638` Chr`20` : `33,082,171`	0.853	0.147	0.000
rs666006 lBF = `44.0627` Chr`20` : `33,889,677`	0.847	0.153	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.845	0.155	0.000
rs2353033 lBF = `18.8576` Chr`16` : `89,385,561`	0.832	0.168	0.000
rs17301128 lBF = `90.5348` Chr`6` : `28,308,034`	0.822	0.178	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.820	0.180	0.000
rs76938821 lBF = `8.96632` Chr`5` : `114,706,752`	0.816	0.184	0.000
rs1540771 lBF = `17.0515` Chr`6` : `466,033`	0.814	0.186	0.000
rs6912584 lBF = `87.9417` Chr`6` : `28,309,590`	0.811	0.189	0.000
rs6903823 lBF = `89.9101` Chr`6` : `28,322,296`	0.810	0.190	0.000
rs56131013 lBF = `87.9877` Chr`6` : `28,320,677`	0.805	0.195	0.000
rs12210050 lBF = `42.9031` Chr`6` : `475,489`	0.805	0.195	0.000
rs537626 lBF = `27.0819` Chr`11` : `69,307,695`	0.805	0.195	0.000
rs1119211 lBF = `88.6883` Chr`6` : `28,309,136`	0.802	0.198	0.000
rs6903652 lBF = `89.1572` Chr`6` : `28,322,120`	0.796	0.204	0.000
rs117132860 lBF = `4.72832` Chr`7` : `17,134,708`	0.795	0.204	0.000
rs2280374 lBF = `61.5228` Chr`16` : `89,687,407`	0.790	0.210	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.790	0.210	0.000
rs2080303 lBF = `44.1752` Chr`2` : `202,165,206`	0.000	0.219	0.781
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.780	0.220	0.000
Affx-23671264 lBF = `6.33533` Chr`4` : `154,094,220`	0.777	0.223	0.000
rs10931936 lBF = `43.6499` Chr`2` : `202,143,928`	0.775	0.225	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.774	0.226	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.761	0.239	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.757	0.243	0.000
Affx-37072118 lBF = `153.868` Chr`6` : `32,629,809`	0.756	0.244	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.754	0.246	0.000
rs1130375 lBF = `151.815` Chr`6` : `32,632,820`	0.751	0.249	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.748	0.252	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.746	0.254	0.000
rs3769823 lBF = `35.8804` Chr`2` : `202,122,995`	0.745	0.255	0.000
rs34988824 lBF = `148.38` Chr`6` : `32,725,596`	0.743	0.257	0.000
rs7772827 lBF = `79.203` Chr`6` : `28,301,143`	0.742	0.258	0.000
rs2035565 lBF = `7.59028` Chr`2` : `67,619,656`	0.739	0.261	0.000
rs6969131 lBF = `7.64503` Chr`7` : `5,854,003`	0.736	0.264	0.000
rs9357152 lBF = `175.134` Chr`6` : `32,664,960`	0.735	0.265	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.735	0.265	0.000
rs17212223 lBF = `146.779` Chr`6` : `32,651,540`	0.732	0.268	0.000
rs4785759 lBF = `21.4425` Chr`16` : `90,050,880`	0.729	0.271	0.000
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.729	0.271	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.729	0.271	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.728	0.272	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.727	0.273	0.000
rs16906350 lBF = `1.89955` Chr`9` : `120,618,956`	0.726	0.274	0.000
rs35667974 lBF = `16.6981` Chr`2` : `163,124,637`	0.726	0.274	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.725	0.275	0.000
rs3770657 lBF = `7.98305` Chr`2` : `67,630,980`	0.721	0.279	0.000
rs2135319 lBF = `0.838401` Chr`3` : `72,023,700`	0.721	0.279	0.000
rs76660977 lBF = `16.2139` Chr`1` : `43,042,292`	0.720	0.280	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.720	0.280	0.000
rs111600634 lBF = `1.82236` Chr`9` : `120,618,625`	0.718	0.282	0.000
rs1805008 lBF = `12.0964` Chr`16` : `89,986,144`	0.718	0.282	0.000
rs588779 lBF = `8.03801` Chr`2` : `67,665,951`	0.717	0.283	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.717	0.283	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.715	0.285	0.000
rs11758636 lBF = `6.63593` Chr`6` : `27,229,561`	0.715	0.285	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.712	0.288	0.000
rs1486134 lBF = `5.73862` Chr`2` : `67,639,769`	0.000	0.289	0.711
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.709	0.291	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.707	0.293	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.707	0.293	0.000
rs111936470 lBF = `16.3472` Chr`10` : `80,120,669`	0.706	0.294	0.000
rs12180820 lBF = `81.2043` Chr`6` : `28,316,478`	0.704	0.296	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.703	0.296	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.701	0.299	0.000
rs9274569 lBF = `284.288` Chr`6` : `32,635,092`	0.700	0.300	0.000
rs79131379 lBF = `30.3412` Chr`6` : `33,133,040`	0.699	0.301	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.698	0.302	0.000
rs4895694 lBF = `5.25171` Chr`6` : `146,546,037`	0.698	0.302	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.694	0.306	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.692	0.308	0.000
rs5000632 lBF = `174.537` Chr`6` : `32,663,688`	0.692	0.308	0.000
rs9272276 lBF = `160.465` Chr`6` : `32,603,634`	0.688	0.312	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.687	0.313	0.000
rs5030965 lBF = `7.66452` Chr`6` : `27,216,699`	0.683	0.317	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.682	0.318	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.681	0.319	0.000
rs7023329 lBF = `10.5956` Chr`9` : `21,816,528`	0.679	0.321	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.679	0.321	0.000
rs2273565 lBF = `6.83534` Chr`6` : `27,222,974`	0.679	0.321	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.679	0.321	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.678	0.322	0.000
rs13016963 lBF = `27.0109` Chr`2` : `202,162,811`	0.000	0.324	0.676
rs79736585 lBF = `10.0837` Chr`5` : `151,294,585`	0.675	0.325	0.000
rs57387722 lBF = `5.02831` Chr`4` : `31,011,294`	0.675	0.325	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.674	0.326	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.674	0.326	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.671	0.329	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.671	0.329	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.668	0.332	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.668	0.332	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.668	0.332	0.000
rs75296154 lBF = `15.1903` Chr`11` : `69,343,815`	0.667	0.333	0.000
rs9469219 lBF = `173.276` Chr`6` : `32,658,211`	0.664	0.336	0.000
rs9273011 lBF = `165.34` Chr`6` : `32,611,611`	0.664	0.336	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.661	0.339	0.000
rs76669440 lBF = `11.74` Chr`17` : `77,785,900`	0.661	0.339	0.000
rs115049412 lBF = `15.9663` Chr`2` : `200,960,006`	0.661	0.339	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.660	0.340	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.658	0.342	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.658	0.342	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.657	0.343	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.657	0.343	0.000
rs73542936 lBF = `11.6477` Chr`8` : `1,839,557`	0.655	0.345	0.000
rs12328732 lBF = `9.34731` Chr`2` : `54,724,992`	0.655	0.345	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.654	0.346	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.654	0.346	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.653	0.347	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.653	0.347	0.000
rs28746990 lBF = `173.283` Chr`6` : `32,653,903`	0.652	0.348	0.000
rs12212507 lBF = `8.99` Chr`6` : `161,071,982`	0.652	0.348	0.000
rs75466358 lBF = `21.4617` Chr`14` : `98,107,800`	0.652	0.348	0.000
rs6682594 lBF = `11.603` Chr`1` : `241,105,471`	0.652	0.348	0.000
rs78169600 lBF = `11.2968` Chr`1` : `31,462,683`	0.651	0.349	0.000
rs111527185 lBF = `5.658` Chr`19` : `673,105`	0.650	0.350	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.650	0.350	0.000
rs17212420 lBF = `177.301` Chr`6` : `32,652,400`	0.649	0.351	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.648	0.352	0.000
rs35915063 lBF = `141.93` Chr`6` : `32,633,519`	0.648	0.352	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.647	0.353	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.647	0.353	0.000
rs116865068 lBF = `18.8011` Chr`13` : `54,889,350`	0.646	0.354	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.645	0.355	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.644	0.356	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.644	0.356	0.000
rs17586297 lBF = `14.1451` Chr`2` : `4,939,414`	0.642	0.357	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.642	0.358	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.641	0.359	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.641	0.359	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.640	0.360	0.000
rs7773324 lBF = `21.1853` Chr`6` : `382,559`	0.640	0.360	0.000
rs73019330 lBF = `12.1394` Chr`2` : `168,576,763`	0.639	0.361	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.639	0.361	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.638	0.362	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.636	0.364	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.636	0.364	0.000
rs1800057 lBF = `17.8656` Chr`11` : `108,143,456`	0.635	0.364	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.635	0.365	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.634	0.365	0.000
rs61886293 lBF = `8.40886` Chr`11` : `39,630,698`	0.634	0.366	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.634	0.366	0.000
rs1480382 lBF = `143.186` Chr`6` : `32,740,895`	0.633	0.367	0.000
rs116839510 lBF = `15.1511` Chr`2` : `192,466,150`	0.632	0.368	0.000
rs12863935 lBF = `20.8798` Chr`13` : `23,971,938`	0.631	0.369	0.000
rs112143646 lBF = `18.4597` Chr`2` : `102,617,045`	0.630	0.370	0.000
rs614367 lBF = `31.3497` Chr`11` : `69,328,764`	0.629	0.371	0.000
rs78891732 lBF = `17.1652` Chr`5` : `110,825,670`	0.629	0.371	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.629	0.371	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.629	0.371	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.628	0.372	0.000
rs143099908 lBF = `18.5844` Chr`6` : `27,667,247`	0.628	0.372	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.627	0.373	0.000
rs117029977 lBF = `13.3216` Chr`13` : `35,438,988`	0.627	0.373	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.626	0.374	0.000
rs56003409 lBF = `8.45799` Chr`19` : `32,096,558`	0.626	0.374	0.000
rs6058339 lBF = `20.5187` Chr`20` : `34,460,479`	0.625	0.375	0.000
rs112888289 lBF = `14.8654` Chr`19` : `31,600,124`	0.624	0.376	0.000
rs79331104 lBF = `5.61117` Chr`4` : `22,011,602`	0.623	0.377	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.623	0.377	0.000
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rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.539	0.461	0.000
rs6669578 lBF = `12.1135` Chr`1` : `239,083,707`	0.539	0.461	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.539	0.461	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.538	0.462	0.000
rs659112 lBF = `11.7339` Chr`1` : `39,270,873`	0.538	0.462	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.538	0.462	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.538	0.462	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.538	0.462	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.538	0.462	0.000
rs62495153 lBF = `7.67204` Chr`8` : `8,136,656`	0.538	0.462	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.537	0.462	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.537	0.463	0.000
rs140584594 lBF = `14.6193` Chr`1` : `110,232,983`	0.000	0.463	0.537
rs2621387 lBF = `80.6034` Chr`6` : `32,757,971`	0.000	0.463	0.536
rs9637932 lBF = `5.60237` Chr`5` : `178,403,949`	0.536	0.463	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.536	0.464	0.000
rs76547981 lBF = `10.2504` Chr`1` : `81,547,822`	0.536	0.464	0.000
rs12600691 lBF = `11.8554` Chr`17` : `75,535,526`	0.535	0.464	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.535	0.465	0.000
rs78586881 lBF = `15.3006` Chr`8` : `37,144,739`	0.535	0.465	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.535	0.465	0.000
rs116769405 lBF = `17.8241` Chr`2` : `113,517,977`	0.535	0.465	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.534	0.465	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.534	0.465	0.000
rs73966604 lBF = `12.6164` Chr`2` : `149,593,798`	0.534	0.466	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.534	0.466	0.000
rs61756411 lBF = `14.7561` Chr`4` : `76,809,396`	0.533	0.466	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.533	0.466	0.000
rs612260 lBF = `9.02876` Chr`18` : `38,534,894`	0.533	0.467	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.533	0.467	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.533	0.467	0.000
rs114931935 lBF = `5.15923` Chr`1` : `161,659,801`	0.533	0.467	0.000
rs75054437 lBF = `14.0397` Chr`5` : `32,892,453`	0.532	0.467	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.532	0.468	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.532	0.468	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.532	0.468	0.000
rs7773997 lBF = `21.1073` Chr`6` : `384,970`	0.000	0.468	0.532
rs144892944 lBF = `13.3907` Chr`1` : `239,066,498`	0.532	0.468	0.000
rs16888648 lBF = `8.01812` Chr`8` : `39,884,165`	0.531	0.468	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.531	0.469	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.531	0.469	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.531	0.469	0.000
rs2857177 lBF = `79.6504` Chr`6` : `32,752,840`	0.000	0.470	0.530
rs2857164 lBF = `80.5587` Chr`6` : `32,758,219`	0.000	0.470	0.530
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.530	0.470	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.530	0.470	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.529	0.470	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.530	0.470	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.529	0.470	0.000
rs118016817 lBF = `16.223` Chr`6` : `108,218,801`	0.529	0.470	0.000
rs114076351 lBF = `20.8722` Chr`2` : `7,249,885`	0.529	0.471	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.529	0.471	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.529	0.471	0.000
rs291671 lBF = `36.5371` Chr`20` : `31,950,845`	0.529	0.471	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.529	0.471	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.529	0.471	0.000
rs35144609 lBF = `18.4605` Chr`3` : `188,053,678`	0.528	0.471	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.528	0.471	0.000
rs1704996 lBF = `30.724` Chr`6` : `33,182,895`	0.528	0.472	0.000
rs28746924 lBF = `177.331` Chr`6` : `32,649,854`	0.528	0.472	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.528	0.472	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.527	0.473	0.000
rs11760220 lBF = `20.43` Chr`7` : `149,257,763`	0.527	0.473	0.000
rs116986691 lBF = `22.3468` Chr`10` : `87,698,378`	0.527	0.473	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.527	0.473	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.526	0.473	0.000
rs10226831 lBF = `8.59368` Chr`7` : `38,600,741`	0.526	0.474	0.000
rs76084488 lBF = `14.8485` Chr`14` : `71,911,727`	0.525	0.474	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.525	0.475	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.525	0.475	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.525	0.475	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.525	0.475	0.000
rs115384415 lBF = `15.8504` Chr`1` : `95,333,551`	0.525	0.475	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.524	0.476	0.000
rs114097330 lBF = `13.9687` Chr`3` : `34,717,222`	0.524	0.476	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.524	0.476	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.524	0.476	0.000
rs59355858 lBF = `6.81191` Chr`7` : `29,629,005`	0.523	0.477	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.523	0.477	0.000
rs176461 lBF = `24.1203` Chr`6` : `28,826,405`	0.522	0.478	0.000
rs76108901 lBF = `3.98207` Chr`7` : `117,674,806`	0.522	0.478	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.522	0.478	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.522	0.478	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.522	0.478	0.000
rs9468508 lBF = `23.4669` Chr`6` : `29,253,756`	0.521	0.479	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.521	0.479	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.521	0.479	0.000
rs3849590 lBF = `13.7301` Chr`4` : `40,837,655`	0.521	0.479	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.521	0.479	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.521	0.479	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.520	0.479	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.520	0.480	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.520	0.480	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.520	0.480	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4569

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.3770

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

1.0000

Cluster X0115

log Bayes Factor = 32.8753

contains 3 variants

0.9967

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.9926

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9923

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.9888

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9884

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9846

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9753

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9739

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9701

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9638

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9633

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9621

Cluster X0235

log Bayes Factor = 54.4898

contains 2 variants

0.9563

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9471

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9459

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9459

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9456

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9449

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9361

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9348

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9346

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9340

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9226

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9207

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9173

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.9168

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9153

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9131

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9122

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9082

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9051

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9040

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9015

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8983

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.8981

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8904

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8875

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8871

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8867

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8857

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8854

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8815

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8759

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8718

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8578

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8507

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8417

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8379

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8366

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8365

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8355

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8330

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8270

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8194

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8159

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8154

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8151

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.8124

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8110

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8086

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8078

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8043

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8041

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8010

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8007

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7921

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7901

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7882

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7774

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7742

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7727

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7700

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7659

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7657

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7648

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7615

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7571

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7504

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7429

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7428

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7214

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7152

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7086

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7057

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6956

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6903

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6867

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6841

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6804

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6782

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6674

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6665

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6659

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6640

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6564

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6537

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6321

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6251

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6240

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6169

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6167

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6157

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6020

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.6017

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5985

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5956

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5913

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5906

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.5905

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5871

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5485

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5418

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5384

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5283

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5256

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5240

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5213

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5175

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5123

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.5042

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4957

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4897

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4730

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4668

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4652

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4608

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4599

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4508

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4422

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.4397

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.4346

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4200

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4089

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.4082

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3931

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.3866

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.3808

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3759

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3684

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3520

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3423

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3194

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.3096

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3002

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2790

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.2758

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2669

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2661

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2645

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2626

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2557

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.2553

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2518

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2283

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1972

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1955

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1933

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.1829

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.1785

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1664

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1638

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1638

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1531

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1444

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1316

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1286

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1284

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1171

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1036

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.1011

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0980

Cluster X0233

log Bayes Factor = 12.9441

contains 2 variants

0.0961

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0901

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0884

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0864

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0806

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0800

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0739

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0674

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.0514

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`)