TreeWAS – [K06] Other disorders of gingiva and edentulous alveolar ridge

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
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.888	0.112	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.876	0.124	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.874	0.126	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.868	0.132	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.864	0.136	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.859	0.141	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.848	0.152	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.847	0.153	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.846	0.154	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.844	0.156	0.000
rs115048639 lBF = `21.1292` Chr`6` : `30,991,404`	0.842	0.158	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.842	0.158	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.841	0.159	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.840	0.160	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.840	0.160	0.000
rs76873050 lBF = `2.07291` Chr`4` : `182,115,416`	0.840	0.160	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.840	0.160	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.840	0.160	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.839	0.161	0.000
rs77006161 lBF = `19.5553` Chr`11` : `81,998,848`	0.838	0.162	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.837	0.162	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.836	0.163	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.836	0.164	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.836	0.164	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.836	0.164	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.834	0.166	0.000
rs75930063 lBF = `18.2674` Chr`6` : `30,908,187`	0.834	0.166	0.000
rs17189749 lBF = `17.6121` Chr`6` : `30,904,535`	0.831	0.169	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.830	0.170	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.829	0.171	0.000
rs78798473 lBF = `19.9784` Chr`4` : `1,669,252`	0.828	0.172	0.000
rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.827	0.173	0.000
rs6933271 lBF = `20.7519` Chr`6` : `30,867,830`	0.827	0.173	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.826	0.174	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.826	0.174	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.825	0.175	0.000
rs77311400 lBF = `9.0751` Chr`6` : `166,916,112`	0.824	0.176	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.822	0.177	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.822	0.178	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.821	0.179	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.821	0.179	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.820	0.180	0.000
rs1793899 lBF = `16.1977` Chr`6` : `31,170,131`	0.818	0.182	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.818	0.182	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.818	0.182	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.818	0.182	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.817	0.183	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.816	0.183	0.000
rs72704117 lBF = `12.9605` Chr`1` : `155,175,089`	0.808	0.192	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.806	0.194	0.000
rs35249942 lBF = `9.56617` Chr`4` : `129,402,861`	0.805	0.195	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.805	0.195	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.802	0.198	0.000
rs113310853 lBF = `16.828` Chr`6` : `31,405,598`	0.799	0.201	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.799	0.201	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.798	0.202	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.798	0.202	0.000
rs12980573 lBF = `15.9303` Chr`19` : `11,434,585`	0.797	0.203	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.797	0.203	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.796	0.204	0.000
rs79962977 lBF = `17.5516` Chr`3` : `177,306,170`	0.795	0.205	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.794	0.206	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.794	0.206	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.793	0.207	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.793	0.207	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.793	0.207	0.000
rs80191532 lBF = `12.2522` Chr`18` : `12,752,868`	0.793	0.207	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.792	0.208	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.790	0.210	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.789	0.211	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.789	0.211	0.000
rs17056274 lBF = `2.97116` Chr`18` : `72,787,046`	0.787	0.213	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.786	0.214	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.785	0.214	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.785	0.215	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.782	0.218	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.782	0.218	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.782	0.218	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.781	0.219	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.781	0.219	0.000
rs111331141 lBF = `13.3373` Chr`6` : `31,400,947`	0.780	0.220	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.780	0.220	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.780	0.220	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.777	0.222	0.000
rs116769767 lBF = `14.8117` Chr`3` : `79,651,529`	0.777	0.223	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.777	0.223	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.776	0.224	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.776	0.224	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.776	0.224	0.000
rs115935509 lBF = `15.3381` Chr`3` : `133,529,387`	0.775	0.225	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.775	0.225	0.000
rs112111750 lBF = `17.006` Chr`6` : `31,389,968`	0.775	0.225	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.775	0.225	0.000
rs41545213 lBF = `16.9258` Chr`6` : `31,382,910`	0.774	0.226	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.771	0.229	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.770	0.230	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.769	0.231	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.768	0.231	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.768	0.232	0.000
rs73402213 lBF = `16.1094` Chr`6` : `31,387,288`	0.766	0.233	0.000
rs147985248 lBF = `11.1689` Chr`17` : `61,615,545`	0.766	0.234	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.766	0.234	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.766	0.234	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.765	0.235	0.000
rs1893217 lBF = `16.5233` Chr`18` : `12,809,340`	0.765	0.235	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.765	0.235	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.763	0.237	0.000
rs7757496 lBF = `23.0627` Chr`6` : `31,780,235`	0.762	0.238	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.762	0.238	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.762	0.238	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.761	0.239	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.761	0.239	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.761	0.239	0.000
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.759	0.241	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.758	0.242	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.758	0.242	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.758	0.242	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.757	0.242	0.000
rs77118716 lBF = `8.9984` Chr`1` : `202,125,495`	0.755	0.244	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.755	0.245	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.754	0.246	0.000
rs17513600 lBF = `7.68406` Chr`5` : `110,152,701`	0.753	0.247	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.753	0.247	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.752	0.247	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.752	0.248	0.000
rs77441939 lBF = `14.762` Chr`19` : `13,479,999`	0.751	0.249	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.751	0.249	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.751	0.249	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.749	0.251	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.749	0.251	0.000
rs7356599 lBF = `8.25375` Chr`5` : `16,877,640`	0.748	0.252	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.746	0.254	0.000
rs73404209 lBF = `16.4855` Chr`6` : `31,405,671`	0.746	0.254	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.746	0.254	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.745	0.255	0.000
rs72944217 lBF = `9.75405` Chr`6` : `112,168,187`	0.745	0.255	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.745	0.255	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.744	0.255	0.000
rs61780598 lBF = `16.8509` Chr`1` : `53,131,770`	0.744	0.256	0.000
rs56095547 lBF = `11.8156` Chr`7` : `101,542,161`	0.743	0.257	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.742	0.257	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.742	0.258	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.742	0.258	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.742	0.258	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.741	0.259	0.000
rs118133890 lBF = `21.4584` Chr`14` : `86,871,489`	0.741	0.259	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.741	0.259	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.740	0.260	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.740	0.260	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.740	0.260	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.739	0.261	0.000
rs41560824 lBF = `17.2292` Chr`6` : `31,379,043`	0.738	0.262	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.738	0.262	0.000
rs60543763 lBF = `16.492` Chr`6` : `31,387,515`	0.738	0.262	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.737	0.263	0.000
rs116795853 lBF = `17.0163` Chr`6` : `31,373,985`	0.737	0.263	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.737	0.263	0.000
rs2299851 lBF = `25.8886` Chr`6` : `31,718,602`	0.736	0.263	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.735	0.265	0.000
rs73164250 lBF = `17.0593` Chr`12` : `84,624,334`	0.735	0.265	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.735	0.265	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.734	0.266	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.733	0.267	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.733	0.267	0.000
rs114771627 lBF = `15.3109` Chr`3` : `107,564,852`	0.732	0.268	0.000
rs28780107 lBF = `43.9224` Chr`6` : `30,454,949`	0.731	0.269	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.731	0.269	0.000
rs881826 lBF = `5.51054` Chr`6` : `112,301,625`	0.731	0.269	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.730	0.270	0.000
rs2542151 lBF = `13.7217` Chr`18` : `12,779,947`	0.730	0.270	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.729	0.271	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.729	0.271	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.728	0.271	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.727	0.272	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.727	0.273	0.000
rs6696001 lBF = `20.5129` Chr`1` : `54,614,145`	0.725	0.274	0.000
rs61079385 lBF = `15.2512` Chr`6` : `31,384,551`	0.725	0.275	0.000
rs140711597 lBF = `1.13986` Chr`3` : `48,469,441`	0.725	0.275	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.724	0.276	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.722	0.278	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.722	0.278	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.722	0.278	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.722	0.278	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.721	0.279	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.721	0.279	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.720	0.280	0.000
rs73200297 lBF = `14.0698` Chr`13` : `69,117,682`	0.720	0.280	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.720	0.280	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.719	0.281	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.719	0.281	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.719	0.281	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.719	0.281	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.718	0.281	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.718	0.282	0.000
rs41545814 lBF = `16.656` Chr`6` : `31,382,893`	0.718	0.282	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.718	0.282	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.718	0.282	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.717	0.282	0.000
rs111242499 lBF = `16.3667` Chr`6` : `31,409,313`	0.717	0.283	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.717	0.283	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.717	0.283	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.717	0.283	0.000
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rs73389468 lBF = `14.594` Chr`10` : `134,295,815`	0.667	0.333	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.666	0.334	0.000
rs2228603 lBF = `12.1741` Chr`19` : `19,329,924`	0.666	0.334	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.666	0.334	0.000
rs78073327 lBF = `7.67219` Chr`2` : `127,527,025`	0.666	0.334	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.666	0.334	0.000
rs112534819 lBF = `17.2125` Chr`5` : `44,712,742`	0.665	0.335	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.665	0.335	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.665	0.335	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.665	0.335	0.000
rs117761474 lBF = `15.8826` Chr`12` : `113,029,356`	0.665	0.335	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.665	0.335	0.000
rs117068537 lBF = `12.8587` Chr`14` : `70,832,113`	0.665	0.335	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.664	0.336	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.664	0.336	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.664	0.336	0.000
rs34670849 lBF = `12.9285` Chr`1` : `159,160,805`	0.664	0.336	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.663	0.336	0.000
rs78288301 lBF = `12.7347` Chr`6` : `33,887,984`	0.663	0.337	0.000
rs61789073 lBF = `10.5911` Chr`1` : `98,404,096`	0.663	0.337	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.663	0.337	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.663	0.337	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.663	0.337	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.663	0.337	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.663	0.337	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.663	0.337	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.662	0.338	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.662	0.338	0.000
rs149104283 lBF = `2.00778` Chr`12` : `21,083,862`	0.662	0.338	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.662	0.338	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.662	0.338	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.662	0.338	0.000
rs16832889 lBF = `1.1864` Chr`3` : `181,851,284`	0.661	0.339	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.661	0.339	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.661	0.339	0.000
rs78221103 lBF = `16.6479` Chr`12` : `104,562,673`	0.661	0.339	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.660	0.339	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.660	0.340	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.660	0.340	0.000
rs116472358 lBF = `12.7179` Chr`5` : `154,715,471`	0.660	0.340	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.659	0.341	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.659	0.341	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.659	0.341	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.659	0.341	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.658	0.341	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.658	0.342	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.658	0.342	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.658	0.342	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.657	0.342	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.657	0.343	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.657	0.343	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.657	0.343	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.657	0.343	0.000
rs13387838 lBF = `11.2378` Chr`2` : `207,281,447`	0.656	0.343	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.656	0.344	0.000
rs17102257 lBF = `14.6206` Chr`12` : `54,126,061`	0.656	0.344	0.000
rs16976171 lBF = `1.75054` Chr`18` : `40,059,621`	0.656	0.344	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.656	0.344	0.000
rs116929418 lBF = `14.6907` Chr`18` : `22,468,251`	0.656	0.344	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.656	0.344	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.656	0.344	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.655	0.344	0.000
rs78766240 lBF = `19.5029` Chr`3` : `12,067,966`	0.655	0.345	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.655	0.345	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.655	0.345	0.000
rs114794549 lBF = `16.077` Chr`3` : `105,878,935`	0.655	0.345	0.000
rs116409347 lBF = `17.5458` Chr`4` : `75,146,481`	0.655	0.345	0.000
rs72841201 lBF = `12.2145` Chr`5` : `169,287,285`	0.654	0.346	0.000
rs989112 lBF = `13.242` Chr`4` : `171,787,558`	0.654	0.346	0.000
rs74969489 lBF = `14.9351` Chr`17` : `45,452,257`	0.654	0.346	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.654	0.346	0.000
rs114419204 lBF = `14.4286` Chr`13` : `95,041,266`	0.654	0.346	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.653	0.347	0.000
rs73402206 lBF = `11.5791` Chr`6` : `31,383,960`	0.653	0.347	0.000
rs55812591 lBF = `19.7819` Chr`10` : `134,021,576`	0.653	0.347	0.000
rs79633596 lBF = `13.7184` Chr`4` : `185,034,015`	0.653	0.347	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.653	0.347	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.653	0.347	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.653	0.347	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.652	0.348	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.652	0.348	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.652	0.348	0.000
rs11206226 lBF = `2.49882` Chr`1` : `54,320,337`	0.000	0.348	0.652
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.652	0.348	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.652	0.348	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.651	0.349	0.000
rs76776920 lBF = `13.2686` Chr`13` : `101,763,029`	0.651	0.349	0.000
rs55777179 lBF = `16.0259` Chr`13` : `105,764,807`	0.650	0.350	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.650	0.350	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.649	0.351	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.649	0.351	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.649	0.351	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.649	0.351	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.648	0.352	0.000
rs77080457 lBF = `19.9364` Chr`19` : `11,490,703`	0.648	0.352	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.648	0.352	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9946

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9945

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9943

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9773

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9759

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9707

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9706

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.9698

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9693

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9653

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9544

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9525

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9513

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9498

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9483

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9479

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9430

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9368

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.9315

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9300

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9299

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9291

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9282

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.9181

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9161

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9155

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9149

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9123

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9102

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9087

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.9056

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9033

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8915

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8892

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8888

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8875

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.8873

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8815

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8718

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8703

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8699

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.8683

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8673

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8664

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8634

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8631

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8616

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8603

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8557

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8556

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8519

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.8501

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8428

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8412

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8389

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8384

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8374

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8327

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8312

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8287

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.8267

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8178

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8132

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8125

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8097

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8031

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8008

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7987

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7958

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7931

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7919

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7836

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7811

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7798

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7782

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7759

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.7735

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7716

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7715

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7682

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7660

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7579

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7576

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7538

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7535

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7530

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7520

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7503

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7484

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7431

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7395

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7385

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7334

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7309

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7290

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7195

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7144

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7143

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7098

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7034

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6973

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6952

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6928

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6827

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.6732

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6670

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6618

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6569

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6554

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6329

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6297

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6270

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6256

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6160

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.6120

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6079

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5832

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5720

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5719

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5664

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5453

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5382

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5216

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.5113

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5042

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5024

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.4971

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4959

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4957

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.4800

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4382

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3374

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.3137

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2987

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.2321

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.2123

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.1667

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1576

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1426

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.0868

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0829

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0701

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0661

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0648

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0558

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Parent term	K00-K14 Diseases of oral cavity, salivary glands and jaws
Nested terms	K06.0 Gingival recession K06.1 Gingival enlargement K06.2 Gingival and edentulous alveolar ridge lesions associated with trauma K06.8 Other specified disorders of gingiva and edentulous alveolar ridge K06.9 Disorder of gingiva and edentulous alveolar ridge, unspecified

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)