TreeWAS – [S64.4] Injury of digital nerve of other finger

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
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.941	0.059	0.000
rs16914920 lBF = `12.1807` Chr`12` : `19,128,595`	0.929	0.071	0.000
rs114357381 lBF = `13.4276` Chr`1` : `217,870,257`	0.920	0.080	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.914	0.086	0.000
rs74303283 lBF = `9.56504` Chr`7` : `129,629,340`	0.902	0.098	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.901	0.099	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.888	0.112	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.879	0.121	0.000
rs78638822 lBF = `12.5434` Chr`5` : `82,850,207`	0.877	0.123	0.000
rs12515737 lBF = `5.78667` Chr`5` : `80,231,611`	0.877	0.123	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.876	0.124	0.000
rs72914340 lBF = `14.0443` Chr`1` : `58,858,413`	0.875	0.125	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.875	0.125	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.874	0.126	0.000
rs11579060 lBF = `5.78074` Chr`1` : `160,606,092`	0.872	0.128	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.859	0.141	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.853	0.147	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.852	0.148	0.000
rs2648908 lBF = `12.2754` Chr`8` : `129,127,594`	0.850	0.150	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.848	0.152	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.844	0.156	0.000
rs354157 lBF = `8.30182` Chr`1` : `49,678,990`	0.843	0.157	0.000
rs117405975 lBF = `12.6259` Chr`10` : `131,698,562`	0.843	0.157	0.000
rs17532397 lBF = `5.55012` Chr`7` : `80,796,081`	0.840	0.160	0.000
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.839	0.161	0.000
rs9394526 lBF = `6.11316` Chr`6` : `12,090,563`	0.839	0.161	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.839	0.161	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.838	0.162	0.000
rs114927259 lBF = `6.36727` Chr`2` : `108,678,685`	0.835	0.165	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.835	0.165	0.000
rs20476 lBF = `3.37906` Chr`5` : `11,366,157`	0.834	0.166	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.834	0.166	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.827	0.173	0.000
rs16937124 lBF = `7.01091` Chr`10` : `36,885,746`	0.827	0.173	0.000
rs9586179 lBF = `5.22977` Chr`13` : `104,060,087`	0.825	0.175	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.825	0.175	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.823	0.177	0.000
rs76928565 lBF = `5.18234` Chr`13` : `33,170,787`	0.821	0.179	0.000
rs118021477 lBF = `12.0694` Chr`22` : `44,389,518`	0.820	0.180	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.819	0.181	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.818	0.182	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.815	0.185	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.815	0.185	0.000
rs75355801 lBF = `8.34629` Chr`1` : `50,185,751`	0.813	0.187	0.000
rs77303430 lBF = `9.49687` Chr`8` : `99,875,745`	0.813	0.187	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.813	0.187	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.812	0.188	0.000
rs12545092 lBF = `6.89488` Chr`8` : `19,520,367`	0.811	0.189	0.000
rs75356169 lBF = `5.60136` Chr`10` : `107,853,400`	0.811	0.189	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.811	0.189	0.000
rs10027113 lBF = `6.46507` Chr`4` : `9,445,873`	0.809	0.191	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.807	0.193	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.801	0.199	0.000
rs9369072 lBF = `12.2512` Chr`6` : `12,081,146`	0.801	0.199	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.800	0.200	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.799	0.201	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.795	0.205	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.794	0.206	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.792	0.208	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.791	0.209	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.791	0.209	0.000
rs7598034 lBF = `5.09306` Chr`2` : `207,948,857`	0.787	0.213	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.786	0.214	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.786	0.214	0.000
rs79322857 lBF = `17.442` Chr`2` : `77,594,873`	0.786	0.214	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.783	0.217	0.000
rs7769061 lBF = `5.03821` Chr`6` : `111,926,909`	0.783	0.217	0.000
rs11250485 lBF = `13.8708` Chr`10` : `1,417,738`	0.782	0.218	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.782	0.218	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.781	0.219	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.780	0.220	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.780	0.220	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.780	0.220	0.000
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.780	0.220	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.779	0.221	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.778	0.221	0.000
rs1388739 lBF = `5.71494` Chr`17` : `50,677,350`	0.778	0.222	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.777	0.223	0.000
rs112941408 lBF = `6.1087` Chr`5` : `2,374,891`	0.777	0.223	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.775	0.225	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.774	0.226	0.000
rs78566849 lBF = `16.9908` Chr`5` : `156,916,452`	0.773	0.227	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.773	0.227	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.769	0.231	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.769	0.231	0.000
rs76594372 lBF = `16.0712` Chr`5` : `156,821,650`	0.768	0.232	0.000
rs4766986 lBF = `8.99695` Chr`12` : `113,076,475`	0.768	0.232	0.000
rs1509123 lBF = `0.983378` Chr`17` : `6,683,878`	0.767	0.233	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.767	0.233	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.766	0.234	0.000
rs114506037 lBF = `15.3443` Chr`4` : `47,204,125`	0.766	0.234	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.763	0.237	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.762	0.238	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.762	0.238	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.761	0.239	0.000
rs79598313 lBF = `23.343` Chr`1` : `27,284,913`	0.761	0.239	0.000
rs206706 lBF = `5.53842` Chr`6` : `164,531,155`	0.760	0.240	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.757	0.243	0.000
rs11598874 lBF = `10.4305` Chr`10` : `39,006,198`	0.757	0.243	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.757	0.243	0.000
rs72726252 lBF = `21.4932` Chr`14` : `65,332,190`	0.756	0.244	0.000
rs13152134 lBF = `12.3669` Chr`4` : `156,465,403`	0.755	0.245	0.000
rs75207346 lBF = `11.4709` Chr`13` : `39,925,227`	0.753	0.247	0.000
rs115136538 lBF = `2.76777` Chr`4` : `73,322,565`	0.751	0.249	0.000
rs72809231 lBF = `12.4782` Chr`5` : `156,798,578`	0.749	0.251	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.744	0.256	0.000
rs7366282 lBF = `1.05477` Chr`1` : `214,779,427`	0.744	0.256	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.742	0.258	0.000
rs116438991 lBF = `14.2398` Chr`3` : `65,698,107`	0.741	0.259	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.741	0.259	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.741	0.259	0.000
rs74320203 lBF = `11.4376` Chr`1` : `20,921,903`	0.740	0.260	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.740	0.260	0.000
rs6887317 lBF = `0.595863` Chr`5` : `11,371,047`	0.739	0.261	0.000
rs6801044 lBF = `0.897546` Chr`3` : `195,289,387`	0.000	0.262	0.738
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.737	0.263	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.736	0.264	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.736	0.264	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.736	0.264	0.000
rs73339018 lBF = `14.0181` Chr`7` : `6,975,937`	0.732	0.268	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.732	0.268	0.000
Affx-52367455 lBF = `8.85365` Chr`5` : `43,543,259`	0.731	0.269	0.000
rs79741311 lBF = `18.6339` Chr`11` : `128,943,556`	0.731	0.269	0.000
rs3850370 lBF = `2.26745` Chr`14` : `78,534,906`	0.731	0.269	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.728	0.272	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.728	0.272	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.728	0.272	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.728	0.272	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.727	0.273	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.727	0.273	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.724	0.276	0.000
rs79512063 lBF = `24.6388` Chr`8` : `89,533,747`	0.724	0.276	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.724	0.276	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.722	0.278	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.722	0.278	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.722	0.278	0.000
rs72839985 lBF = `5.55515` Chr`17` : `56,383,690`	0.721	0.279	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.721	0.279	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.719	0.281	0.000
rs73166458 lBF = `17.8415` Chr`13` : `29,751,732`	0.719	0.281	0.000
rs79098343 lBF = `5.00736` Chr`4` : `5,669,247`	0.717	0.283	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.717	0.283	0.000
rs17143755 lBF = `6.70987` Chr`5` : `117,531,681`	0.716	0.284	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.716	0.284	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.715	0.285	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.715	0.285	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.715	0.285	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.714	0.286	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.714	0.286	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.713	0.287	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.712	0.288	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.712	0.288	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.711	0.289	0.000
rs12037379 lBF = `11.2434` Chr`1` : `20,959,746`	0.710	0.290	0.000
rs12779371 lBF = `7.9231` Chr`10` : `76,256,536`	0.709	0.291	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.707	0.293	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.705	0.294	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.705	0.295	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.704	0.296	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.704	0.296	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.704	0.296	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.703	0.296	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.702	0.298	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.702	0.298	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.702	0.298	0.000
rs7536740 lBF = `11.7453` Chr`1` : `168,472,921`	0.700	0.300	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.699	0.301	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.699	0.301	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.698	0.302	0.000
rs74378727 lBF = `16.4978` Chr`3` : `88,374,390`	0.697	0.303	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.697	0.303	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.693	0.307	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.693	0.307	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.692	0.308	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.691	0.308	0.000
rs114187425 lBF = `13.4722` Chr`4` : `127,057,914`	0.690	0.310	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.689	0.311	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.687	0.313	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.687	0.313	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.686	0.314	0.000
rs11575837 lBF = `15.2034` Chr`6` : `31,560,670`	0.686	0.314	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.685	0.315	0.000
rs117101324 lBF = `10.7221` Chr`14` : `76,851,865`	0.685	0.315	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.684	0.316	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.684	0.316	0.000
rs77542162 lBF = `16.8585` Chr`17` : `67,081,278`	0.684	0.316	0.000
rs76754356 lBF = `6.7613` Chr`20` : `10,719,667`	0.682	0.318	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.680	0.320	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.679	0.321	0.000
rs17206232 lBF = `2.6394` Chr`5` : `64,433,400`	0.678	0.322	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.678	0.322	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.677	0.323	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.676	0.324	0.000
rs78655842 lBF = `17.3062` Chr`19` : `40,421,859`	0.676	0.324	0.000
rs6833389 lBF = `13.2457` Chr`4` : `30,534,841`	0.676	0.324	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.675	0.325	0.000
rs114850483 lBF = `16.0626` Chr`3` : `5,754,763`	0.674	0.326	0.000
rs78957773 lBF = `12.8264` Chr`6` : `31,496,949`	0.674	0.326	0.000
rs16996148 lBF = `15.2513` Chr`19` : `19,658,472`	0.674	0.326	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.673	0.327	0.000
rs6803875 lBF = `6.51206` Chr`3` : `23,163,716`	0.673	0.327	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.672	0.327	0.000
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rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.600	0.400	0.000
rs77731990 lBF = `1.89865` Chr`2` : `184,556,860`	0.599	0.401	0.000
rs9446827 lBF = `9.62742` Chr`6` : `73,746,516`	0.599	0.401	0.000
rs745978 lBF = `1.85683` Chr`5` : `15,285,414`	0.599	0.401	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.599	0.401	0.000
rs6949729 lBF = `14.7152` Chr`7` : `141,362,431`	0.598	0.402	0.000
rs66785688 lBF = `3.18762` Chr`11` : `115,711,933`	0.598	0.402	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.598	0.402	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.598	0.402	0.000
rs35983068 lBF = `10.6447` Chr`11` : `30,215,430`	0.598	0.402	0.000
rs116367285 lBF = `12.3707` Chr`3` : `65,094,139`	0.598	0.402	0.000
rs79113544 lBF = `14.4413` Chr`13` : `47,580,175`	0.598	0.402	0.000
rs28417927 lBF = `12.3757` Chr`18` : `58,226,910`	0.598	0.402	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.597	0.403	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.597	0.403	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.596	0.404	0.000
rs8177313 lBF = `8.14533` Chr`3` : `133,464,102`	0.596	0.404	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.596	0.404	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.595	0.405	0.000
rs117414778 lBF = `9.84757` Chr`11` : `122,198,886`	0.595	0.405	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.595	0.405	0.000
rs78714084 lBF = `18.8347` Chr`8` : `89,031,066`	0.595	0.405	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.594	0.406	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.592	0.408	0.000
rs3905240 lBF = `22.7383` Chr`6` : `28,711,334`	0.592	0.408	0.000
rs17813263 lBF = `23.117` Chr`12` : `69,481,381`	0.592	0.408	0.000
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.592	0.408	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.591	0.409	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.591	0.409	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.591	0.409	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.589	0.410	0.000
rs7671654 lBF = `12.4761` Chr`4` : `30,677,046`	0.589	0.410	0.000
rs6909424 lBF = `17.4819` Chr`6` : `31,383,824`	0.588	0.412	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.588	0.412	0.000
rs66502377 lBF = `5.79886` Chr`8` : `2,294,390`	0.588	0.412	0.000
rs41553616 lBF = `14.6726` Chr`6` : `31,379,990`	0.587	0.412	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.587	0.413	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.587	0.413	0.000
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.587	0.413	0.000
rs17200372 lBF = `21.9362` Chr`6` : `31,389,593`	0.586	0.413	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.586	0.414	0.000
rs77396437 lBF = `6.42134` Chr`10` : `42,725,820`	0.586	0.414	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.585	0.414	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.585	0.415	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.585	0.415	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.585	0.415	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.584	0.415	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.584	0.416	0.000
rs9309513 lBF = `13.6223` Chr`2` : `77,555,231`	0.584	0.416	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.583	0.417	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.582	0.418	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.582	0.418	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.582	0.418	0.000
rs4349008 lBF = `7.91478` Chr`13` : `105,803,056`	0.582	0.418	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.581	0.419	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.581	0.419	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.581	0.419	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.581	0.419	0.000
rs76710341 lBF = `11.6968` Chr`6` : `93,881,166`	0.581	0.419	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.580	0.420	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.579	0.421	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.579	0.421	0.000
rs13154291 lBF = `12.6575` Chr`5` : `160,443,509`	0.579	0.421	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.579	0.421	0.000
rs73180559 lBF = `24.7935` Chr`7` : `82,760,550`	0.578	0.422	0.000
rs61829222 lBF = `27.9255` Chr`10` : `4,040,185`	0.578	0.422	0.000
rs10505483 lBF = `15.7887` Chr`8` : `128,125,195`	0.578	0.422	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.578	0.422	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.578	0.422	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.578	0.422	0.000
rs17829719 lBF = `15.2172` Chr`8` : `1,824,454`	0.578	0.422	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.577	0.423	0.000
rs78140085 lBF = `11.5454` Chr`1` : `5,887,118`	0.577	0.423	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.577	0.423	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.577	0.423	0.000
rs74961451 lBF = `12.6422` Chr`1` : `59,608,141`	0.577	0.423	0.000
rs6918090 lBF = `57.3438` Chr`6` : `33,854,733`	0.577	0.423	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.577	0.423	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.576	0.424	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.576	0.424	0.000
rs35729753 lBF = `17.3029` Chr`12` : `66,672,379`	0.576	0.424	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.576	0.424	0.000
rs147786325 lBF = `1.81622` Chr`3` : `70,725,902`	0.576	0.424	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.575	0.425	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.575	0.425	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.575	0.425	0.000
rs12074980 lBF = `15.0721` Chr`1` : `184,636,516`	0.575	0.425	0.000
rs12682344 lBF = `16.2953` Chr`8` : `128,106,784`	0.574	0.426	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.574	0.426	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.574	0.426	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.574	0.426	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.573	0.427	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.573	0.427	0.000
rs80184685 lBF = `12.8291` Chr`11` : `3,142,769`	0.573	0.427	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.573	0.427	0.000
rs115457615 lBF = `15.9194` Chr`2` : `168,583,240`	0.572	0.428	0.000
rs73425733 lBF = `14.1421` Chr`6` : `30,748,297`	0.572	0.428	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

0.3537

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2766

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.9946

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9935

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9921

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9856

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9793

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9607

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.9582

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9580

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9333

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9326

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.9208

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.9169

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9164

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.9088

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9024

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8954

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8861

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8797

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8690

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8365

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8334

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8279

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8202

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8130

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7979

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7923

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7757

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7709

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7668

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7654

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7614

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7562

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7477

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7447

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7350

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7330

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.7294

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7278

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7260

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7115

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7099

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6879

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6810

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6804

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6593

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6565

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6478

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6386

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6374

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6337

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6298

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6233

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.5936

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5934

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.5756

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5642

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5523

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5422

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5411

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5402

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5389

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5343

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5325

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5320

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5275

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5149

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.5079

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5066

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.5035

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.4977

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4856

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4825

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4814

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4562

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4436

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4302

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4074

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.3987

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3975

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3799

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.3492

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3360

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.3354

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.3323

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3205

Cluster X0305

log Bayes Factor = 14.5546

contains 1 variants

0.3089

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3076

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3061

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2926

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2875

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2872

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2794

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2762

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2643

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2620

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2608

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.2602

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.2576

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2549

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2449

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2291

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2260

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2244

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2205

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.2194

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2056

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1994

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1943

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1855

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1848

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1809

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1783

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1748

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1737

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1628

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.1574

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.1517

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1470

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1468

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1392

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1371

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1366

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.1350

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.1346

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1344

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1335

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1324

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1137

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.1135

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1115

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1063

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1058

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.1039

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0921

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.0906

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0868

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0818

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0790

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0770

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0770

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0752

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0742

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0737

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.0678

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0674

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.0659

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0652

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.0612

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0593

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.0544

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.0512

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`)