TreeWAS – [S01.7] Multiple open wounds of head

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
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.000	0.098	0.902
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.888	0.112	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.000	0.122	0.878
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.000	0.134	0.866
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.000	0.139	0.861
rs3869132 lBF = `110.641` Chr`6` : `31,410,948`	0.000	0.142	0.858
rs4305317 lBF = `0.959362` Chr`2` : `42,080,624`	0.000	0.146	0.854
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.848	0.152	0.000
rs73364245 lBF = `10.9224` Chr`7` : `63,652,957`	0.839	0.161	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.835	0.165	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.828	0.172	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.822	0.178	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.814	0.186	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.812	0.188	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.810	0.190	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.807	0.193	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.806	0.194	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.805	0.195	0.000
rs79466107 lBF = `7.73424` Chr`20` : `43,590,309`	0.802	0.198	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.799	0.201	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.798	0.202	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.797	0.203	0.000
rs830478 lBF = `9.24249` Chr`8` : `73,372,875`	0.797	0.203	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.794	0.206	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.793	0.207	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.793	0.207	0.000
rs78807356 lBF = `22.3905` Chr`11` : `46,596,670`	0.792	0.208	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.792	0.208	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.791	0.209	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.791	0.209	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.790	0.210	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.788	0.212	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.787	0.213	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.782	0.218	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.781	0.219	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.781	0.219	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.775	0.225	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.774	0.226	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.773	0.226	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.773	0.227	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.772	0.228	0.000
rs7634487 lBF = `11.5118` Chr`3` : `21,580,556`	0.771	0.229	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.768	0.232	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.766	0.234	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.764	0.236	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.763	0.236	0.000
rs7791133 lBF = `3.39631` Chr`7` : `135,237,096`	0.761	0.239	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.761	0.239	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.759	0.241	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.759	0.241	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.759	0.241	0.000
rs111763904 lBF = `13.1327` Chr`6` : `43,091,942`	0.758	0.242	0.000
rs118096183 lBF = `6.77798` Chr`9` : `5,772,424`	0.758	0.242	0.000
rs116111989 lBF = `16.0247` Chr`4` : `189,767,112`	0.758	0.242	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.756	0.244	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.000	0.244	0.756
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.755	0.245	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.753	0.247	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.752	0.248	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.752	0.248	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.749	0.251	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.748	0.252	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.747	0.253	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.746	0.254	0.000
rs74711970 lBF = `11.4782` Chr`6` : `42,803,809`	0.746	0.254	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.744	0.255	0.000
rs117513218 lBF = `7.47159` Chr`11` : `31,761,802`	0.742	0.258	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.740	0.260	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.740	0.260	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.739	0.261	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.738	0.262	0.000
rs111947356 lBF = `19.0029` Chr`3` : `18,348,007`	0.738	0.262	0.000
rs78159609 lBF = `10.3167` Chr`3` : `48,600,145`	0.738	0.262	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.738	0.262	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.737	0.263	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.737	0.263	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.736	0.264	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.731	0.268	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.731	0.269	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.731	0.269	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.730	0.270	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.730	0.270	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.729	0.271	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.728	0.272	0.000
rs117675380 lBF = `13.6306` Chr`18` : `811,672`	0.728	0.272	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.728	0.272	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.726	0.274	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.726	0.274	0.000
rs75352895 lBF = `11.4763` Chr`2` : `126,970,097`	0.725	0.275	0.000
rs72657275 lBF = `12.6574` Chr`13` : `108,476,015`	0.724	0.276	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.724	0.276	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.723	0.276	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.721	0.279	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.721	0.279	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.720	0.280	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.720	0.280	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.720	0.280	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.719	0.280	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.719	0.281	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.718	0.282	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.717	0.283	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.716	0.283	0.000
rs7446359 lBF = `1.46394` Chr`5` : `127,890,720`	0.716	0.284	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.716	0.284	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.716	0.284	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.715	0.285	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.715	0.285	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.715	0.285	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.714	0.286	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.714	0.286	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.713	0.287	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.713	0.287	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.713	0.287	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.712	0.288	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.712	0.288	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.711	0.288	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.711	0.289	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.710	0.289	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.710	0.290	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.710	0.290	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.710	0.290	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.710	0.290	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.710	0.290	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.710	0.290	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.709	0.291	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.709	0.291	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.708	0.292	0.000
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.707	0.293	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.706	0.293	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.706	0.294	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.705	0.295	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.705	0.295	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.705	0.295	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.705	0.295	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.704	0.296	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.704	0.296	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.704	0.296	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.704	0.296	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.703	0.297	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.703	0.297	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.703	0.297	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.702	0.298	0.000
rs78691034 lBF = `9.15803` Chr`3` : `47,911,121`	0.702	0.298	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.701	0.299	0.000
rs79666536 lBF = `15.5021` Chr`4` : `189,755,425`	0.701	0.299	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.700	0.300	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.700	0.300	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.699	0.301	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.699	0.301	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.698	0.302	0.000
rs116611433 lBF = `11.807` Chr`1` : `234,277,494`	0.698	0.302	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.698	0.302	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.697	0.303	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.697	0.303	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.697	0.303	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.697	0.303	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.697	0.303	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.696	0.303	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.696	0.304	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.696	0.304	0.000
rs138042437 lBF = `17.9564` Chr`8` : `128,208,369`	0.696	0.304	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.696	0.304	0.000
rs75444639 lBF = `32.0405` Chr`1` : `232,117,041`	0.695	0.305	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.695	0.305	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.695	0.305	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.695	0.305	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.694	0.305	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.694	0.305	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.694	0.306	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.694	0.306	0.000
rs1887284 lBF = `14.8007` Chr`1` : `1,487,059`	0.694	0.306	0.000
rs117634581 lBF = `11.6915` Chr`7` : `28,785,981`	0.694	0.306	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.693	0.307	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.693	0.307	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.693	0.307	0.000
rs114648712 lBF = `13.5632` Chr`4` : `189,742,953`	0.693	0.307	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.692	0.308	0.000
rs118112887 lBF = `8.10057` Chr`18` : `26,691,296`	0.691	0.309	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.691	0.309	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.691	0.309	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.691	0.309	0.000
rs115525301 lBF = `14.6439` Chr`5` : `176,932,440`	0.691	0.309	0.000
rs12814941 lBF = `12.4883` Chr`12` : `106,408,172`	0.690	0.310	0.000
rs188140481 lBF = `18.2034` Chr`8` : `128,191,672`	0.690	0.310	0.000
rs150066336 lBF = `2.1353` Chr`9` : `13,475,446`	0.690	0.310	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.689	0.310	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.689	0.311	0.000
rs1805860 lBF = `6.63278` Chr`8` : `91,022,867`	0.689	0.311	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.688	0.312	0.000
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.688	0.312	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.688	0.312	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.688	0.312	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.688	0.312	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.688	0.312	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.688	0.312	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.687	0.313	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.687	0.313	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.687	0.313	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.687	0.313	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.686	0.313	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.686	0.314	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.686	0.314	0.000
rs1505428 lBF = `18.8876` Chr`5` : `102,043,722`	0.686	0.314	0.000
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rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.645	0.355	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.644	0.356	0.000
rs10503951 lBF = `6.24858` Chr`8` : `33,665,680`	0.644	0.356	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.644	0.356	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.644	0.356	0.000
rs79034905 lBF = `16.0754` Chr`3` : `189,981,934`	0.643	0.357	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.643	0.357	0.000
rs75729198 lBF = `19.6792` Chr`8` : `15,885,087`	0.643	0.357	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.643	0.357	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.642	0.358	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.641	0.359	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.641	0.359	0.000
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.641	0.359	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.640	0.360	0.000
rs11159086 lBF = `2.46915` Chr`14` : `74,962,275`	0.640	0.360	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.640	0.360	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.639	0.361	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.639	0.361	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.639	0.361	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.638	0.361	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.638	0.362	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.638	0.362	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.638	0.362	0.000
rs486743 lBF = `12.5321` Chr`18` : `12,505,089`	0.638	0.362	0.000
rs9662633 lBF = `1.12305` Chr`1` : `3,649,562`	0.637	0.363	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.637	0.363	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.637	0.363	0.000
rs62406374 lBF = `10.4194` Chr`6` : `49,872,818`	0.636	0.364	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.636	0.364	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.636	0.364	0.000
rs12616962 lBF = `15.3337` Chr`2` : `155,628,974`	0.636	0.364	0.000
rs11867410 lBF = `3.32541` Chr`17` : `64,227,363`	0.636	0.364	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.635	0.364	0.000
rs114765604 lBF = `23.7182` Chr`10` : `135,287,931`	0.635	0.365	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.635	0.365	0.000
rs7810984 lBF = `11.2791` Chr`7` : `141,761,438`	0.635	0.365	0.000
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.635	0.365	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.635	0.365	0.000
rs72689705 lBF = `4.69186` Chr`8` : `81,462,297`	0.634	0.366	0.000
rs116431701 lBF = `16.2425` Chr`7` : `151,413,973`	0.634	0.366	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.634	0.366	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.633	0.366	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.633	0.367	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.632	0.367	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.632	0.368	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.632	0.368	0.000
rs145959269 lBF = `3.70784` Chr`8` : `143,357,023`	0.631	0.368	0.000
rs181715218 lBF = `4.15927` Chr`10` : `81,185,314`	0.631	0.369	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.630	0.369	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.630	0.369	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.630	0.370	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.630	0.370	0.000
rs117862559 lBF = `22.8961` Chr`14` : `40,013,534`	0.630	0.370	0.000
rs7236477 lBF = `1.98766` Chr`18` : `28,902,322`	0.630	0.370	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.630	0.370	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.629	0.370	0.000
rs80335688 lBF = `12.7849` Chr`10` : `90,949,251`	0.629	0.371	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.629	0.371	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.000	0.371	0.629
rs117206365 lBF = `12.4837` Chr`8` : `126,883,835`	0.629	0.371	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.629	0.371	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.628	0.371	0.000
rs1265883 lBF = `0.541191` Chr`1` : `160,464,911`	0.628	0.372	0.000
rs41284792 lBF = `16.3214` Chr`13` : `50,118,998`	0.628	0.372	0.000
rs71484016 lBF = `12.4416` Chr`11` : `37,205,081`	0.628	0.372	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.628	0.372	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.628	0.372	0.000
rs78156933 lBF = `6.63681` Chr`4` : `27,656,295`	0.628	0.372	0.000
rs80334718 lBF = `23.0437` Chr`14` : `33,998,519`	0.628	0.372	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.628	0.372	0.000
rs61819425 lBF = `15.4159` Chr`1` : `114,136,618`	0.628	0.372	0.000
rs11950938 lBF = `14.3237` Chr`5` : `176,576,293`	0.628	0.372	0.000
rs73129298 lBF = `1.4339` Chr`20` : `48,566,065`	0.628	0.372	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.627	0.373	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.627	0.373	0.000
rs41284366 lBF = `7.57409` Chr`10` : `118,187,444`	0.626	0.374	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.626	0.374	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.626	0.374	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.626	0.374	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.625	0.374	0.000
rs113409754 lBF = `15.4934` Chr`5` : `58,715,692`	0.625	0.374	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.625	0.375	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.625	0.375	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.625	0.375	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.625	0.375	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.625	0.375	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.625	0.375	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.625	0.375	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.625	0.375	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.624	0.376	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.624	0.376	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.623	0.376	0.000
rs17132883 lBF = `3.40941` Chr`5` : `110,502,429`	0.623	0.376	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.623	0.377	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.623	0.377	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

0.4727

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2734

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9790

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9695

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9590

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9490

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9487

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9482

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9328

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9281

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9280

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9266

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9231

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9113

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9023

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8802

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8731

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8664

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8630

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8626

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8585

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8585

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8576

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8567

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8561

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8494

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8470

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8455

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8389

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8357

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8283

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8250

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8228

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8177

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8087

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8086

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7890

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7810

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7791

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7757

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7728

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7646

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7645

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7634

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7614

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7601

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7583

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7562

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7521

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7468

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7467

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7452

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.7393

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7361

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7349

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7315

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7290

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7268

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7167

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7156

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7145

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7088

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7067

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7064

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7011

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6976

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6942

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6918

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6875

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6862

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6762

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6722

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6678

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6583

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6519

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6508

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6488

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6481

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6465

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6354

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6318

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6276

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6212

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6178

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6019

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5944

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5751

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5717

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.5651

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5641

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5565

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.5549

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.5442

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5051

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4971

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4930

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4913

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4809

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4765

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4642

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4524

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4509

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4502

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4376

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4375

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4273

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.4203

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4170

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.4168

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4013

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3688

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3490

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3277

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3215

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3024

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2906

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2765

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2347

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2264

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2219

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2172

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2162

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2148

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2131

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2097

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.2076

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2010

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1845

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1797

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1773

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1512

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1459

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1452

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1329

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1246

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0916

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0912

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0827

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0761

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0755

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0725

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0620

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0599

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0598

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0566

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0533

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0519

Cluster X0143

log Bayes Factor = 179.808

contains 8 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`)