TreeWAS – [S01.4] Open wound of cheek and temporomandibular area

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
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.936	0.064	0.000
rs17666226 lBF = `6.76342` Chr`18` : `49,166,695`	0.902	0.098	0.000
rs17528414 lBF = `17.7734` Chr`12` : `32,352,055`	0.896	0.104	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.877	0.123	0.000
rs80312606 lBF = `6.77193` Chr`7` : `73,673,730`	0.872	0.128	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.863	0.137	0.000
rs521898 lBF = `7.2037` Chr`11` : `102,657,908`	0.861	0.139	0.000
rs7611684 lBF = `2.94823` Chr`3` : `23,482,812`	0.850	0.150	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.844	0.155	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.844	0.156	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.843	0.157	0.000
rs111835151 lBF = `3.08372` Chr`2` : `59,202,029`	0.841	0.159	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.840	0.160	0.000
rs17511643 lBF = `7.08446` Chr`14` : `79,666,567`	0.837	0.163	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.835	0.165	0.000
rs72919779 lBF = `7.54229` Chr`11` : `34,682,762`	0.834	0.166	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.829	0.170	0.000
rs36064717 lBF = `16.1111` Chr`18` : `45,764,569`	0.829	0.171	0.000
rs6932236 lBF = `111.72` Chr`6` : `31,383,979`	0.000	0.175	0.825
rs17050689 lBF = `10.74` Chr`4` : `130,767,899`	0.822	0.178	0.000
rs9266825 lBF = `110.415` Chr`6` : `31,382,882`	0.000	0.178	0.821
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.821	0.179	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.820	0.180	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.818	0.182	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.817	0.182	0.000
rs28642901 lBF = `109.678` Chr`6` : `31,381,808`	0.000	0.183	0.817
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.816	0.184	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.815	0.185	0.000
rs12452225 lBF = `2.83101` Chr`17` : `33,266,431`	0.815	0.185	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.814	0.186	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.813	0.187	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.813	0.187	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.812	0.188	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.811	0.189	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.808	0.192	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.808	0.192	0.000
rs1291621 lBF = `15.6995` Chr`12` : `46,340,821`	0.807	0.193	0.000
rs76335349 lBF = `9.20298` Chr`7` : `126,490,550`	0.807	0.193	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.806	0.194	0.000
rs77678215 lBF = `11.9237` Chr`3` : `186,296,358`	0.806	0.194	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.805	0.195	0.000
rs10046456 lBF = `6.50753` Chr`6` : `151,125,251`	0.805	0.195	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.803	0.197	0.000
rs77600076 lBF = `5.41577` Chr`21` : `19,531,442`	0.802	0.198	0.000
rs115135582 lBF = `12.4642` Chr`5` : `119,918,822`	0.802	0.198	0.000
rs71632123 lBF = `1.27513` Chr`1` : `181,745,701`	0.799	0.201	0.000
rs76072566 lBF = `9.69242` Chr`1` : `161,261,242`	0.798	0.202	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.798	0.202	0.000
rs8140645 lBF = `12.7734` Chr`22` : `18,289,555`	0.795	0.205	0.000
rs9266845 lBF = `110.015` Chr`6` : `31,384,792`	0.000	0.206	0.794
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.793	0.207	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.793	0.207	0.000
rs1982602 lBF = `8.16528` Chr`18` : `67,813,357`	0.791	0.209	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.791	0.209	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.791	0.209	0.000
rs74582590 lBF = `11.9581` Chr`1` : `240,137,386`	0.790	0.210	0.000
rs463329 lBF = `5.68402` Chr`5` : `73,711,709`	0.790	0.210	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.789	0.211	0.000
rs74691586 lBF = `9.21408` Chr`1` : `161,245,487`	0.788	0.212	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.787	0.213	0.000
rs3869132 lBF = `110.641` Chr`6` : `31,410,948`	0.000	0.214	0.786
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.785	0.215	0.000
rs11767851 lBF = `7.93857` Chr`7` : `8,183,347`	0.783	0.217	0.000
rs75789659 lBF = `7.03095` Chr`1` : `77,800,005`	0.782	0.217	0.000
rs79975430 lBF = `7.04866` Chr`22` : `18,333,639`	0.780	0.220	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.780	0.220	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.778	0.221	0.000
rs117650759 lBF = `12.6039` Chr`18` : `7,675,399`	0.778	0.222	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.775	0.225	0.000
rs34406675 lBF = `23.4153` Chr`2` : `144,301,488`	0.775	0.225	0.000
rs17138899 lBF = `5.85345` Chr`17` : `35,573,686`	0.774	0.226	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.772	0.228	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.771	0.229	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.767	0.233	0.000
rs12780046 lBF = `1.06285` Chr`10` : `100,856,453`	0.767	0.233	0.000
rs4305317 lBF = `0.959362` Chr`2` : `42,080,624`	0.000	0.234	0.766
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.764	0.236	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.762	0.238	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.761	0.239	0.000
rs67812265 lBF = `5.65453` Chr`11` : `57,543,661`	0.760	0.240	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.759	0.241	0.000
rs28659842 lBF = `12.442` Chr`22` : `24,776,451`	0.759	0.241	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.759	0.241	0.000
rs7309269 lBF = `13.6679` Chr`12` : `7,757,834`	0.758	0.242	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.757	0.243	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.755	0.245	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.755	0.245	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.754	0.246	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.754	0.246	0.000
rs75564153 lBF = `12.9648` Chr`4` : `126,393,692`	0.753	0.247	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.752	0.248	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.747	0.253	0.000
rs79263266 lBF = `11.9991` Chr`1` : `39,630,310`	0.747	0.253	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.747	0.253	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.746	0.254	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.745	0.255	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.745	0.255	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.744	0.256	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.743	0.257	0.000
rs1905321 lBF = `6.29726` Chr`8` : `90,220,346`	0.743	0.257	0.000
rs10762651 lBF = `0.860895` Chr`10` : `76,822,117`	0.000	0.258	0.742
rs117589273 lBF = `5.16224` Chr`21` : `46,992,250`	0.742	0.258	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.741	0.259	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.741	0.259	0.000
rs1948390 lBF = `10.3593` Chr`3` : `161,624,890`	0.740	0.259	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.740	0.260	0.000
rs6650640 lBF = `11.0513` Chr`18` : `31,748,225`	0.740	0.260	0.000
rs80337366 lBF = `15.2845` Chr`2` : `9,559,503`	0.740	0.260	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.739	0.260	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.738	0.262	0.000
rs74976411 lBF = `18.6882` Chr`7` : `28,901,486`	0.738	0.262	0.000
rs77052769 lBF = `10.5998` Chr`7` : `152,982,114`	0.738	0.262	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.736	0.264	0.000
rs114663629 lBF = `16.239` Chr`1` : `164,693,143`	0.736	0.264	0.000
rs7073278 lBF = `7.5078` Chr`10` : `13,859,897`	0.735	0.265	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.735	0.265	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.735	0.265	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.735	0.265	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.735	0.265	0.000
rs10223421 lBF = `106.956` Chr`6` : `31,390,055`	0.000	0.265	0.735
rs72700262 lBF = `12.1803` Chr`1` : `154,769,750`	0.734	0.266	0.000
rs1858404 lBF = `6.00261` Chr`4` : `104,391,911`	0.733	0.267	0.000
rs117172322 lBF = `9.83651` Chr`8` : `39,522,372`	0.732	0.268	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.731	0.269	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.729	0.271	0.000
rs860340 lBF = `5.06795` Chr`3` : `186,889,320`	0.729	0.271	0.000
rs17071124 lBF = `2.01665` Chr`6` : `142,033,726`	0.729	0.271	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.728	0.272	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.727	0.273	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.727	0.273	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.727	0.273	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.727	0.273	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.726	0.273	0.000
rs7810399 lBF = `5.76347` Chr`7` : `63,599,625`	0.726	0.274	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.726	0.274	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.725	0.275	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.724	0.276	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.724	0.276	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.722	0.278	0.000
rs74795443 lBF = `6.71028` Chr`2` : `121,661,870`	0.721	0.279	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.721	0.279	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.720	0.280	0.000
rs9333182 lBF = `6.1855` Chr`10` : `15,619,054`	0.716	0.284	0.000
rs62341268 lBF = `11.7208` Chr`4` : `190,224,770`	0.716	0.284	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.716	0.284	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.715	0.285	0.000
rs1926464 lBF = `8.852` Chr`13` : `36,423,167`	0.713	0.286	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.713	0.287	0.000
rs12213810 lBF = `14.2401` Chr`6` : `89,307,322`	0.713	0.287	0.000
rs77167176 lBF = `13.9093` Chr`13` : `58,249,430`	0.713	0.287	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.712	0.288	0.000
rs4418214 lBF = `126.263` Chr`6` : `31,391,401`	0.000	0.288	0.712
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.712	0.288	0.000
rs55916387 lBF = `1.32445` Chr`18` : `31,246,244`	0.711	0.289	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.711	0.289	0.000
rs78683487 lBF = `14.8881` Chr`13` : `110,971,565`	0.711	0.289	0.000
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.711	0.289	0.000
rs114895607 lBF = `16.4481` Chr`4` : `20,513,398`	0.711	0.289	0.000
rs9439462 lBF = `12.5813` Chr`1` : `1,462,766`	0.710	0.289	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.710	0.290	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.709	0.290	0.000
rs12562437 lBF = `1.46438` Chr`1` : `3,651,031`	0.709	0.291	0.000
rs1264304 lBF = `142.055` Chr`6` : `30,882,415`	0.708	0.292	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.708	0.292	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.708	0.292	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.708	0.292	0.000
rs34026507 lBF = `10.4882` Chr`18` : `864,782`	0.708	0.292	0.000
rs114042773 lBF = `3.72587` Chr`5` : `124,975,265`	0.708	0.292	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.707	0.293	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.707	0.293	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.707	0.293	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.706	0.294	0.000
rs10910018 lBF = `1.39832` Chr`1` : `3,651,409`	0.706	0.294	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.705	0.295	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.705	0.295	0.000
rs112450479 lBF = `16.4795` Chr`11` : `57,268,252`	0.704	0.295	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	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
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.704	0.296	0.000
rs61963335 lBF = `28.93` Chr`13` : `110,910,173`	0.703	0.296	0.000
rs1912126 lBF = `13.4365` Chr`2` : `145,851,991`	0.703	0.297	0.000
rs10515552 lBF = `7.77092` Chr`5` : `145,038,831`	0.703	0.297	0.000
rs78288136 lBF = `13.1867` Chr`17` : `12,422,621`	0.702	0.298	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.702	0.298	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.702	0.298	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.702	0.298	0.000
rs11065791 lBF = `12.9532` Chr`12` : `111,460,000`	0.701	0.299	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.701	0.299	0.000
rs79525977 lBF = `8.45543` Chr`3` : `48,419,898`	0.701	0.299	0.000
rs72833265 lBF = `8.47148` Chr`6` : `22,664,716`	0.700	0.300	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.700	0.300	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.699	0.301	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.699	0.301	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.699	0.301	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.699	0.301	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.699	0.301	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.698	0.302	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.698	0.302	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.697	0.303	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.697	0.303	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.697	0.303	0.000
rs76293282 lBF = `13.7427` Chr`20` : `56,761,942`	0.696	0.304	0.000
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rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.651	0.349	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.651	0.349	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.650	0.350	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.650	0.350	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.649	0.351	0.000
rs76090957 lBF = `15.7806` Chr`1` : `237,236,462`	0.649	0.351	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.649	0.351	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.648	0.352	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.648	0.352	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.648	0.352	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.648	0.352	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.648	0.352	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.648	0.352	0.000
rs80170259 lBF = `21.9182` Chr`3` : `5,724,208`	0.648	0.352	0.000
rs34463898 lBF = `19.8292` Chr`6` : `73,430,067`	0.648	0.352	0.000
rs142643109 lBF = `4.78759` Chr`17` : `60,387,921`	0.647	0.352	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.647	0.352	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.647	0.353	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.647	0.353	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.647	0.353	0.000
rs79903896 lBF = `14.376` Chr`14` : `31,222,143`	0.646	0.354	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.646	0.354	0.000
rs55927656 lBF = `6.59531` Chr`1` : `72,392,635`	0.646	0.354	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.646	0.354	0.000
rs77640143 lBF = `5.73366` Chr`2` : `189,786,827`	0.646	0.354	0.000
rs78294386 lBF = `14.58` Chr`12` : `107,963,652`	0.646	0.354	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.646	0.354	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.646	0.354	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.645	0.354	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.645	0.355	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.645	0.355	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.645	0.355	0.000
rs7903144 lBF = `1.37003` Chr`10` : `22,057,405`	0.645	0.355	0.000
rs76617118 lBF = `2.70881` Chr`13` : `74,567,711`	0.644	0.356	0.000
rs117422606 lBF = `12.1156` Chr`14` : `40,206,769`	0.644	0.356	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.644	0.356	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.644	0.356	0.000
rs1296249 lBF = `16.014` Chr`13` : `112,998,648`	0.644	0.356	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.644	0.356	0.000
rs1077216 lBF = `4.32499` Chr`3` : `46,892,161`	0.643	0.357	0.000
rs13394458 lBF = `5.68749` Chr`2` : `142,230,943`	0.643	0.357	0.000
rs12563513 lBF = `19.0633` Chr`1` : `114,547,798`	0.643	0.357	0.000
rs78807545 lBF = `1.66568` Chr`14` : `97,541,630`	0.643	0.357	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.642	0.358	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.642	0.358	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.641	0.358	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.641	0.359	0.000
rs746630 lBF = `8.16661` Chr`14` : `83,255,205`	0.641	0.359	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.641	0.359	0.000
rs62388641 lBF = `0.438525` Chr`6` : `1,540,084`	0.000	0.359	0.641
rs114113732 lBF = `13.53` Chr`1` : `170,152,756`	0.641	0.359	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.640	0.360	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.640	0.360	0.000
rs1229984 lBF = `29.775` Chr`4` : `100,239,319`	0.000	0.360	0.640
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.640	0.360	0.000
rs35597977 lBF = `5.29559` Chr`11` : `75,101,105`	0.640	0.360	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.640	0.360	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.640	0.360	0.000
rs77727170 lBF = `12.9342` Chr`6` : `141,312,506`	0.639	0.361	0.000
rs117460072 lBF = `11.0684` Chr`15` : `23,081,204`	0.639	0.361	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.639	0.361	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.639	0.361	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.638	0.361	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.638	0.362	0.000
rs116249078 lBF = `11.4951` Chr`4` : `69,792,030`	0.638	0.362	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.637	0.362	0.000
rs62197517 lBF = `12.7732` Chr`2` : `195,694,007`	0.637	0.363	0.000
rs78652542 lBF = `13.5681` Chr`14` : `26,964,012`	0.637	0.363	0.000
rs116161699 lBF = `8.96181` Chr`6` : `66,726,604`	0.637	0.363	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.637	0.363	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.637	0.363	0.000
rs35921408 lBF = `30.4918` Chr`1` : `184,029,795`	0.637	0.363	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.636	0.364	0.000
rs73167108 lBF = `11.234` Chr`3` : `166,673,121`	0.636	0.364	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	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
rs10108669 lBF = `24.3176` Chr`8` : `108,685,885`	0.635	0.365	0.000
rs17235038 lBF = `16.9173` Chr`10` : `115,614,740`	0.635	0.365	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.635	0.365	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.635	0.365	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.635	0.365	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	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
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.634	0.366	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.633	0.366	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.633	0.366	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.633	0.367	0.000
rs12649659 lBF = `7.83863` Chr`4` : `91,852,652`	0.633	0.367	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.633	0.367	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.633	0.367	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.632	0.367	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.632	0.368	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

0.6750

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2553

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9901

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.9862

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9846

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9653

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9581

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9554

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9544

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.9442

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9392

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9314

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9301

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9285

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9251

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9188

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9185

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9141

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9109

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9101

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9056

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8894

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8882

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8861

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8831

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8827

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8783

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8728

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8698

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8690

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.8676

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8652

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8624

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8584

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8487

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8480

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.8444

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8434

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8400

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8394

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8380

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8351

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8255

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8209

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8170

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8159

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8153

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8094

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8079

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8066

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7945

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7937

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7880

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7777

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7709

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7683

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7657

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7642

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7620

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7547

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7540

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7535

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7377

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7244

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7171

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7163

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 X0166

log Bayes Factor = 230.746

contains 8 variants

0.7062

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.7018

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7013

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6976

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6903

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6900

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6885

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6884

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6724

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6594

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6541

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6481

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6345

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6258

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.6239

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6124

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5998

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5975

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5969

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5830

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.5717

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5664

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5540

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5483

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5463

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5290

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5269

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5183

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5158

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5000

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4993

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4971

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4825

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4782

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4704

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.4650

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4490

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4464

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4440

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4371

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4286

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.4247

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3884

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3429

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3357

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3043

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3024

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.2765

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2628

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2572

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2429

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2335

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.2247

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2232

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2221

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2179

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2172

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.1976

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1930

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1867

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1778

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1657

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1534

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.1512

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1494

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1362

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1276

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.1155

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1113

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0888

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0838

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.0833

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0819

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0712

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0690

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.0668

Cluster X0270

log Bayes Factor = 41.2082

contains 4 variants

0.0654

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0643

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0630

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.0599

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0584

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0581

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0549

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.0512

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0504

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`)