TreeWAS – [K13.1] Cheek and lip biting

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
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.704	0.296	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.701	0.299	0.000
rs7521578 lBF = `17.1428` Chr`1` : `158,736,201`	0.697	0.303	0.000
rs74122470 lBF = `16.4357` Chr`1` : `158,740,990`	0.697	0.303	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.692	0.307	0.000
rs34650841 lBF = `5.27324` Chr`13` : `31,526,785`	0.692	0.308	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.688	0.312	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.685	0.315	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.684	0.316	0.000
rs11206226 lBF = `2.49882` Chr`1` : `54,320,337`	0.000	0.317	0.683
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.683	0.317	0.000
rs4698169 lBF = `4.23782` Chr`4` : `17,135,343`	0.683	0.317	0.000
rs17427887 lBF = `34.4627` Chr`6` : `32,679,107`	0.678	0.321	0.000
rs117449368 lBF = `14.1227` Chr`11` : `30,162,228`	0.676	0.324	0.000
rs78076094 lBF = `17.3177` Chr`18` : `6,968,799`	0.675	0.325	0.000
rs115936056 lBF = `23.4397` Chr`1` : `216,494,365`	0.675	0.325	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.674	0.325	0.000
rs117174162 lBF = `17.8894` Chr`17` : `27,546,321`	0.669	0.331	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.667	0.333	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.666	0.334	0.000
rs117535611 lBF = `12.5693` Chr`7` : `82,449,574`	0.666	0.334	0.000
rs138522855 lBF = `21.8188` Chr`7` : `76,140,330`	0.664	0.335	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.664	0.336	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.659	0.341	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.657	0.343	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.654	0.346	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.654	0.346	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.653	0.347	0.000
rs76214282 lBF = `12.0701` Chr`4` : `147,802,635`	0.650	0.350	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.649	0.351	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.648	0.352	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.647	0.353	0.000
rs1889142 lBF = `8.91929` Chr`20` : `45,608,700`	0.645	0.355	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.644	0.356	0.000
rs117434283 lBF = `13.0674` Chr`6` : `28,315,210`	0.643	0.357	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.642	0.358	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.642	0.358	0.000
rs118165959 lBF = `13.2951` Chr`7` : `73,949,372`	0.642	0.358	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.641	0.358	0.000
rs6858723 lBF = `7.25032` Chr`4` : `17,102,166`	0.639	0.361	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.639	0.361	0.000
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.638	0.362	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.637	0.363	0.000
rs61743415 lBF = `16.7694` Chr`18` : `44,559,844`	0.637	0.363	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.637	0.363	0.000
rs13434190 lBF = `12.8988` Chr`3` : `23,150,127`	0.634	0.365	0.000
rs78424619 lBF = `12.1013` Chr`4` : `128,704,037`	0.633	0.366	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.632	0.368	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.630	0.369	0.000
rs77865213 lBF = `21.1258` Chr`1` : `67,198,843`	0.630	0.370	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.629	0.370	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.629	0.371	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.625	0.375	0.000
rs9357149 lBF = `14.0451` Chr`6` : `32,440,743`	0.625	0.375	0.000
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.623	0.377	0.000
rs72921303 lBF = `15.2522` Chr`18` : `44,560,038`	0.623	0.377	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.622	0.378	0.000
rs77550735 lBF = `8.89423` Chr`3` : `115,687,669`	0.621	0.379	0.000
rs17684029 lBF = `23.1814` Chr`1` : `77,078,848`	0.621	0.379	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.619	0.381	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.619	0.381	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.616	0.384	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.616	0.384	0.000
rs4864469 lBF = `13.6938` Chr`4` : `54,413,304`	0.615	0.384	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.614	0.386	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.614	0.386	0.000
rs9442891 lBF = `8.4056` Chr`6` : `73,844,174`	0.613	0.387	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.612	0.388	0.000
rs116846802 lBF = `15.7665` Chr`20` : `61,772,029`	0.611	0.389	0.000
rs78133126 lBF = `12.6154` Chr`17` : `16,345,753`	0.611	0.389	0.000
rs55708186 lBF = `6.1979` Chr`10` : `134,118,989`	0.610	0.390	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.607	0.393	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.606	0.394	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.606	0.394	0.000
rs10998466 lBF = `1.69456` Chr`10` : `70,626,429`	0.606	0.394	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.605	0.395	0.000
rs9405035 lBF = `15.155` Chr`6` : `32,407,068`	0.605	0.395	0.000
rs111715478 lBF = `14.7867` Chr`2` : `100,161,578`	0.604	0.395	0.000
rs77496368 lBF = `12.4165` Chr`3` : `122,923,739`	0.603	0.396	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.601	0.399	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.600	0.400	0.000
rs76225479 lBF = `1.8002` Chr`4` : `4,905,346`	0.599	0.401	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.599	0.401	0.000
rs17475168 lBF = `14.4134` Chr`2` : `65,598,866`	0.598	0.402	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.598	0.402	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.597	0.403	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.597	0.403	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.596	0.404	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.595	0.405	0.000
rs117605016 lBF = `28.0976` Chr`12` : `129,614,385`	0.591	0.408	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.591	0.408	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.591	0.409	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.590	0.409	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.589	0.411	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.588	0.412	0.000
rs7341315 lBF = `18.7189` Chr`6` : `146,214,924`	0.588	0.412	0.000
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.586	0.414	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.586	0.414	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.585	0.415	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.585	0.415	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.585	0.415	0.000
rs145142843 lBF = `11.877` Chr`1` : `39,681,410`	0.584	0.416	0.000
rs76672975 lBF = `17.6917` Chr`7` : `66,210,447`	0.584	0.416	0.000
rs79963032 lBF = `21.5918` Chr`11` : `128,771,636`	0.583	0.417	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.583	0.417	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.581	0.419	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.581	0.419	0.000
rs114603232 lBF = `17.5536` Chr`4` : `93,871,851`	0.581	0.419	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.581	0.419	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.580	0.420	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.580	0.420	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.580	0.420	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.579	0.421	0.000
rs12500058 lBF = `14.5733` Chr`4` : `94,281,087`	0.578	0.422	0.000
rs75908454 lBF = `2.22788` Chr`6` : `169,970,623`	0.578	0.422	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.577	0.423	0.000
rs55812387 lBF = `16.6048` Chr`4` : `55,179,109`	0.576	0.424	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.576	0.424	0.000
rs79560598 lBF = `14.8051` Chr`8` : `40,540,751`	0.576	0.424	0.000
rs79682748 lBF = `17.0173` Chr`1` : `66,989,719`	0.576	0.424	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.575	0.425	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.573	0.427	0.000
rs76456280 lBF = `15.924` Chr`20` : `61,822,979`	0.573	0.427	0.000
rs76739100 lBF = `17.757` Chr`6` : `32,171,538`	0.572	0.427	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.572	0.428	0.000
rs17086702 lBF = `3.80311` Chr`6` : `156,150,733`	0.571	0.429	0.000
rs79143957 lBF = `12.6617` Chr`3` : `23,125,989`	0.570	0.429	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.569	0.431	0.000
rs78797065 lBF = `2.29489` Chr`2` : `82,120,517`	0.568	0.432	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.568	0.432	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.567	0.433	0.000
rs115128825 lBF = `15.3403` Chr`2` : `169,748,833`	0.566	0.434	0.000
rs72704010 lBF = `16.7236` Chr`1` : `169,383,980`	0.566	0.434	0.000
rs6846071 lBF = `4.81519` Chr`4` : `102,402,215`	0.565	0.434	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.565	0.435	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.565	0.435	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.564	0.435	0.000
rs115770623 lBF = `17.3639` Chr`6` : `2,170,060`	0.564	0.436	0.000
rs61854878 lBF = `14.7592` Chr`10` : `45,736,656`	0.563	0.436	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.563	0.437	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.562	0.437	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.562	0.438	0.000
rs10997236 lBF = `14.7976` Chr`10` : `68,325,773`	0.562	0.438	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.561	0.439	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.560	0.439	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.559	0.441	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.558	0.442	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.558	0.442	0.000
rs78437391 lBF = `22.4064` Chr`12` : `129,229,615`	0.558	0.442	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.557	0.443	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.556	0.444	0.000
rs182349469 lBF = `14.0818` Chr`11` : `30,043,719`	0.556	0.444	0.000
rs116063918 lBF = `15.0826` Chr`3` : `187,268,411`	0.556	0.444	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.554	0.446	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.553	0.447	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.552	0.448	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.551	0.449	0.000
rs11571358 lBF = `14.967` Chr`17` : `6,899,106`	0.551	0.449	0.000
rs117531052 lBF = `28.3704` Chr`14` : `46,783,950`	0.551	0.449	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.551	0.449	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.550	0.450	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.550	0.450	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.550	0.450	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.550	0.450	0.000
rs6914746 lBF = `15.0453` Chr`6` : `146,127,029`	0.549	0.450	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.549	0.450	0.000
rs41299205 lBF = `7.8381` Chr`14` : `91,581,272`	0.549	0.451	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.548	0.452	0.000
rs74908414 lBF = `15.1657` Chr`6` : `159,622,266`	0.547	0.452	0.000
rs10209766 lBF = `11.0593` Chr`2` : `35,161,415`	0.547	0.453	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.547	0.453	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.547	0.453	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.547	0.453	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.547	0.453	0.000
rs2417373 lBF = `14.5305` Chr`12` : `14,744,468`	0.546	0.453	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.545	0.455	0.000
rs74958267 lBF = `12.6383` Chr`4` : `23,200,218`	0.545	0.455	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.544	0.456	0.000
rs7910620 lBF = `4.38432` Chr`10` : `87,846,959`	0.543	0.457	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.543	0.457	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.543	0.457	0.000
rs113652043 lBF = `2.86833` Chr`11` : `25,221,599`	0.542	0.457	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.542	0.458	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.541	0.458	0.000
rs116633440 lBF = `15.5432` Chr`6` : `30,994,470`	0.540	0.459	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.540	0.460	0.000
rs17036170 lBF = `4.42318` Chr`3` : `12,330,411`	0.539	0.460	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.538	0.462	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.538	0.462	0.000
rs8083786 lBF = `2.85044` Chr`18` : `12,881,361`	0.537	0.462	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.537	0.463	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.537	0.463	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.537	0.463	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.537	0.463	0.000
rs76486638 lBF = `15.087` Chr`20` : `40,719,979`	0.536	0.464	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.535	0.465	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.534	0.466	0.000
rs147859257 lBF = `4.30735` Chr`19` : `6,718,146`	0.534	0.466	0.000
rs79224527 lBF = `25.2596` Chr`3` : `193,132,284`	0.534	0.466	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.533	0.467	0.000
rs12821981 lBF = `18.716` Chr`12` : `2,741,217`	0.532	0.468	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.530	0.469	0.000
rs3007243 lBF = `4.45029` Chr`13` : `105,806,954`	0.530	0.470	0.000
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rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.454	0.546	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.453	0.547	0.000
rs12582659 lBF = `4.82974` Chr`12` : `76,064,528`	0.453	0.547	0.000
rs78723535 lBF = `19.594` Chr`18` : `65,161,477`	0.452	0.547	0.000
rs77780208 lBF = `5.21025` Chr`5` : `104,879,134`	0.452	0.547	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.452	0.548	0.000
rs215398 lBF = `19.4313` Chr`12` : `47,767,134`	0.452	0.548	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.452	0.548	0.000
rs10506821 lBF = `13.2804` Chr`12` : `80,496,923`	0.452	0.548	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.452	0.548	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.452	0.548	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.451	0.548	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.451	0.549	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.451	0.549	0.000
rs181660893 lBF = `3.37336` Chr`2` : `82,026,934`	0.450	0.550	0.000
rs16832889 lBF = `1.1864` Chr`3` : `181,851,284`	0.450	0.550	0.000
rs6069806 lBF = `14.6744` Chr`20` : `55,218,701`	0.450	0.550	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.449	0.550	0.000
rs114321626 lBF = `12.3123` Chr`5` : `179,793,378`	0.449	0.550	0.000
rs4363479 lBF = `8.78577` Chr`1` : `202,112,285`	0.449	0.551	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.449	0.551	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.449	0.551	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.449	0.551	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.448	0.551	0.000
rs74964132 lBF = `8.1546` Chr`4` : `154,478,742`	0.448	0.551	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.448	0.552	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.447	0.552	0.000
rs80150070 lBF = `25.9428` Chr`11` : `76,478,974`	0.447	0.553	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.447	0.553	0.000
rs7794335 lBF = `7.15516` Chr`7` : `4,922,341`	0.447	0.553	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.446	0.553	0.000
rs77306365 lBF = `14.2842` Chr`14` : `86,751,059`	0.446	0.554	0.000
rs75985359 lBF = `19.6778` Chr`2` : `141,918,805`	0.446	0.554	0.000
rs76759221 lBF = `2.08624` Chr`1` : `239,716,845`	0.446	0.554	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.445	0.554	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.445	0.554	0.000
rs41314643 lBF = `6.56273` Chr`1` : `183,255,908`	0.445	0.555	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.445	0.555	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.445	0.555	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.444	0.555	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.444	0.556	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	0.444	0.556	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.444	0.556	0.000
rs60336366 lBF = `2.08613` Chr`8` : `114,662,251`	0.444	0.556	0.000
rs116065238 lBF = `1.13019` Chr`1` : `171,451,422`	0.442	0.557	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.442	0.558	0.000
rs183464 lBF = `15.6759` Chr`6` : `39,073,052`	0.442	0.558	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.442	0.558	0.000
rs80008789 lBF = `15.187` Chr`10` : `17,042,603`	0.441	0.559	0.000
rs79394537 lBF = `24.4434` Chr`3` : `77,399,960`	0.439	0.560	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.439	0.561	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.438	0.561	0.000
rs116922703 lBF = `18.2926` Chr`6` : `166,242,408`	0.438	0.562	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.438	0.562	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.437	0.563	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.437	0.563	0.000
rs116078501 lBF = `9.50922` Chr`2` : `8,698,802`	0.437	0.563	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.437	0.563	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.436	0.563	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.436	0.564	0.000
rs117857023 lBF = `14.423` Chr`8` : `10,675,065`	0.436	0.564	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.435	0.565	0.000
rs116531279 lBF = `19.1393` Chr`4` : `31,427,147`	0.435	0.565	0.000
rs56109708 lBF = `17.2043` Chr`8` : `140,438,978`	0.435	0.565	0.000
rs10485941 lBF = `13.0188` Chr`7` : `49,439,427`	0.435	0.565	0.000
rs41314988 lBF = `14.704` Chr`10` : `72,640,041`	0.435	0.565	0.000
rs5742692 lBF = `2.17819` Chr`12` : `102,799,598`	0.434	0.565	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.434	0.566	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.433	0.566	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.433	0.567	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.433	0.567	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.433	0.567	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.433	0.567	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.433	0.567	0.000
rs144324177 lBF = `2.68242` Chr`1` : `194,759,058`	0.432	0.567	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.432	0.568	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.432	0.568	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.431	0.568	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.431	0.568	0.000
rs61613191 lBF = `1.61814` Chr`6` : `141,123,711`	0.431	0.569	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.430	0.570	0.000
rs71536865 lBF = `5.98064` Chr`7` : `11,873,259`	0.430	0.570	0.000
rs12067906 lBF = `4.52198` Chr`1` : `192,431,998`	0.429	0.570	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.429	0.571	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.429	0.571	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.429	0.571	0.000
rs1925690 lBF = `2.6467` Chr`6` : `87,867,063`	0.428	0.571	0.000
rs139479025 lBF = `5.02873` Chr`10` : `71,880,301`	0.428	0.572	0.000
rs191281603 lBF = `0.605862` Chr`1` : `196,958,651`	0.428	0.572	0.000
rs12437393 lBF = `11.2266` Chr`14` : `21,635,714`	0.428	0.572	0.000
rs76188673 lBF = `12.8925` Chr`8` : `2,443,492`	0.428	0.572	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.427	0.573	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.426	0.574	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.426	0.574	0.000
rs74851542 lBF = `13.846` Chr`6` : `41,232,552`	0.426	0.574	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 X0046

log Bayes Factor = 387.972

contains 16 variants

0.7165

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7120

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7061

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7043

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6905

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6840

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.6716

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6687

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6592

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6238

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.6220

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5851

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5756

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5720

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5671

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5607

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5596

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5591

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5355

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5308

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5226

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5177

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5089

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5019

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4999

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4914

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4800

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.4780

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4699

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4661

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4638

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4477

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4474

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4440

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.4431

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4342

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4318

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4316

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4099

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4081

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4056

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.3986

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3977

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3832

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3739

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.3720

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3710

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3671

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3607

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3563

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.3545

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3541

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3519

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3517

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.3495

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.3419

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3349

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3249

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3240

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.3204

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3140

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3061

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3061

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3014

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.2963

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2947

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2945

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.2898

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2800

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.2766

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2710

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2691

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2685

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2641

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.2621

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2537

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.2530

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2410

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2335

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.2293

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2286

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2267

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2266

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.2251

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2235

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.2193

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.2176

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2123

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2098

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2039

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2033

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.1953

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.1949

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1933

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1933

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1927

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.1924

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.1920

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1906

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1902

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1874

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1854

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1832

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1815

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1789

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1785

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1769

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.1744

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1731

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1714

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1693

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1678

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.1632

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1626

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1608

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1595

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1571

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.1532

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1530

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1477

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1451

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1447

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.1439

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1437

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1414

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.1413

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.1353

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.1275

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.1264

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1259

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1253

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1248

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1241

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.1236

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.1098

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0909

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.0724

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.0557

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0546

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0525

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`)