TreeWAS – [D32.1] Spinal meninges

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
rs17246404 lBF = `1.39279` Chr`7` : `124,462,661`	0.000	0.130	0.870
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.867	0.133	0.000
rs727505 lBF = `1.29474` Chr`7` : `124,462,081`	0.000	0.140	0.860
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.853	0.147	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.842	0.158	0.000
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.833	0.167	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.825	0.175	0.000
rs28523990 lBF = `1.09231` Chr`7` : `124,436,139`	0.000	0.180	0.820
rs72709458 lBF = `44.6062` Chr`5` : `1,283,755`	0.806	0.194	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.800	0.199	0.000
rs7726159 lBF = `37.189` Chr`5` : `1,282,319`	0.797	0.203	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.795	0.205	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.794	0.205	0.000
rs10069690 lBF = `39.1405` Chr`5` : `1,279,790`	0.778	0.221	0.000
rs7725218 lBF = `34.4239` Chr`5` : `1,282,414`	0.778	0.222	0.000
rs72991078 lBF = `15.803` Chr`2` : `238,732,864`	0.751	0.249	0.000
rs2242652 lBF = `35.8732` Chr`5` : `1,280,028`	0.732	0.268	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.712	0.288	0.000
rs35478175 lBF = `6.93402` Chr`10` : `105,553,793`	0.711	0.289	0.000
rs35623220 lBF = `22.0367` Chr`10` : `105,631,657`	0.703	0.297	0.000
rs72878024 lBF = `21.0711` Chr`11` : `199,492`	0.000	0.310	0.690
rs10786775 lBF = `30.9294` Chr`10` : `105,657,316`	0.689	0.310	0.000
rs2487999 lBF = `29.6031` Chr`10` : `105,659,826`	0.688	0.312	0.000
rs77095817 lBF = `10.8277` Chr`2` : `44,926,615`	0.683	0.317	0.000
rs17156153 lBF = `22.256` Chr`11` : `270,514`	0.000	0.317	0.683
rs80106031 lBF = `15.0769` Chr`10` : `13,083,001`	0.678	0.321	0.000
rs2733283 lBF = `17.1055` Chr`12` : `41,935,977`	0.673	0.327	0.000
rs35339759 lBF = `21.1966` Chr`10` : `105,718,919`	0.673	0.327	0.000
rs2853676 lBF = `19.1781` Chr`5` : `1,288,547`	0.673	0.327	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.664	0.336	0.000
rs5011832 lBF = `6.12001` Chr`10` : `21,782,842`	0.660	0.340	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.656	0.344	0.000
rs62502258 lBF = `5.08734` Chr`8` : `23,852,510`	0.654	0.346	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.651	0.348	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.650	0.350	0.000
rs549270 lBF = `15.4902` Chr`6` : `32,205,072`	0.645	0.354	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.645	0.355	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.644	0.355	0.000
rs7545047 lBF = `5.30446` Chr`1` : `162,191,103`	0.643	0.357	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.643	0.357	0.000
rs75754936 lBF = `9.36846` Chr`6` : `122,770,192`	0.635	0.365	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.635	0.365	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.635	0.365	0.000
rs4387287 lBF = `36.3392` Chr`10` : `105,677,897`	0.634	0.366	0.000
rs2736100 lBF = `53.0413` Chr`5` : `1,286,516`	0.000	0.368	0.632
rs2229882 lBF = `21.8948` Chr`5` : `56,168,712`	0.631	0.369	0.000
rs10890839 lBF = `6.35047` Chr`11` : `108,306,236`	0.630	0.370	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.627	0.372	0.000
rs4754317 lBF = `11.7391` Chr`11` : `108,359,161`	0.000	0.374	0.626
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.623	0.377	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.620	0.379	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.620	0.380	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.620	0.380	0.000
rs7907606 lBF = `38.9231` Chr`10` : `105,680,632`	0.619	0.381	0.000
rs73354199 lBF = `19.383` Chr`6` : `12,592,062`	0.618	0.382	0.000
rs56369933 lBF = `14.8225` Chr`6` : `5,187,437`	0.615	0.385	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.614	0.386	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.614	0.386	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.612	0.388	0.000
rs74896277 lBF = `17.349` Chr`8` : `131,131,148`	0.612	0.388	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.611	0.389	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.610	0.390	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.608	0.392	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.606	0.393	0.000
rs78897171 lBF = `4.02131` Chr`20` : `60,443,251`	0.602	0.397	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.602	0.398	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.601	0.399	0.000
rs1801516 lBF = `11.9523` Chr`11` : `108,175,462`	0.000	0.403	0.596
Affx-4168886 lBF = `6.07706` Chr`11` : `108,345,515`	0.596	0.404	0.000
rs75587225 lBF = `21.2196` Chr`5` : `176,166,134`	0.596	0.404	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.596	0.404	0.000
rs72845883 lBF = `14.3782` Chr`17` : `61,658,297`	0.595	0.405	0.000
rs2517456 lBF = `17.2828` Chr`6` : `31,059,825`	0.595	0.405	0.000
rs9355061 lBF = `16.4691` Chr`6` : `168,670,236`	0.593	0.407	0.000
rs7726354 lBF = `16.6785` Chr`5` : `56,256,483`	0.592	0.408	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.591	0.409	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.590	0.410	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.589	0.411	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.589	0.411	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.588	0.412	0.000
rs12791469 lBF = `13.6464` Chr`11` : `134,825,794`	0.587	0.412	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.585	0.415	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.584	0.416	0.000
rs77282735 lBF = `12.7192` Chr`7` : `45,090,949`	0.584	0.416	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.584	0.416	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.584	0.416	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.583	0.416	0.000
rs76721197 lBF = `12.9868` Chr`7` : `106,727,200`	0.580	0.420	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.579	0.421	0.000
rs74241297 lBF = `35.7526` Chr`13` : `27,525,516`	0.579	0.421	0.000
rs2517491 lBF = `18.798` Chr`6` : `31,038,338`	0.578	0.422	0.000
rs2608700 lBF = `16.0704` Chr`12` : `41,884,414`	0.578	0.422	0.000
rs9419958 lBF = `34.8979` Chr`10` : `105,675,946`	0.000	0.422	0.578
rs116877397 lBF = `30.7668` Chr`12` : `121,162,996`	0.578	0.422	0.000
rs9420907 lBF = `37.0978` Chr`10` : `105,676,465`	0.577	0.423	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.577	0.423	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.577	0.423	0.000
rs77066006 lBF = `16.2994` Chr`10` : `113,316,046`	0.576	0.423	0.000
rs2517454 lBF = `19.8983` Chr`6` : `31,060,022`	0.574	0.426	0.000
rs1265065 lBF = `18.5675` Chr`6` : `31,077,724`	0.574	0.426	0.000
rs74850627 lBF = `14.0554` Chr`11` : `25,316,532`	0.571	0.428	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.571	0.429	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.571	0.429	0.000
rs181705462 lBF = `15.0141` Chr`6` : `31,947,027`	0.571	0.429	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.571	0.429	0.000
rs111785063 lBF = `7.71115` Chr`19` : `22,646,085`	0.571	0.429	0.000
rs4149909 lBF = `23.2866` Chr`1` : `242,023,898`	0.570	0.429	0.000
rs77774752 lBF = `14.2158` Chr`2` : `56,960,157`	0.570	0.430	0.000
rs1800056 lBF = `14.4858` Chr`11` : `108,138,003`	0.570	0.430	0.000
rs72678805 lBF = `14.0526` Chr`1` : `59,180,079`	0.570	0.430	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.569	0.431	0.000
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.569	0.431	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.568	0.431	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.568	0.432	0.000
rs1291837 lBF = `11.8934` Chr`10` : `11,101,682`	0.568	0.432	0.000
rs114752401 lBF = `17.2608` Chr`4` : `188,730,635`	0.568	0.432	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.567	0.433	0.000
rs2535316 lBF = `22.2659` Chr`6` : `31,051,941`	0.567	0.433	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.566	0.434	0.000
rs9267512 lBF = `29.4821` Chr`6` : `31,568,419`	0.566	0.434	0.000
rs1639114 lBF = `20.5335` Chr`6` : `31,219,224`	0.566	0.434	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.566	0.434	0.000
rs7762619 lBF = `35.0482` Chr`6` : `31,531,310`	0.566	0.434	0.000
rs17636747 lBF = `13.8903` Chr`2` : `105,877,870`	0.565	0.435	0.000
rs1265083 lBF = `24.1513` Chr`6` : `31,111,347`	0.565	0.435	0.000
rs885701 lBF = `24.8951` Chr`6` : `31,143,900`	0.564	0.435	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.564	0.436	0.000
rs364786 lBF = `23.3372` Chr`6` : `31,144,291`	0.563	0.437	0.000
rs113203074 lBF = `13.6298` Chr`6` : `31,387,875`	0.563	0.437	0.000
rs1345274 lBF = `23.6419` Chr`6` : `31,190,627`	0.563	0.437	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.562	0.437	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.561	0.438	0.000
rs2853677 lBF = `56.6519` Chr`5` : `1,287,194`	0.561	0.439	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.561	0.439	0.000
rs74457967 lBF = `15.8347` Chr`20` : `826,127`	0.561	0.439	0.000
rs74606055 lBF = `26.7732` Chr`10` : `131,932,578`	0.560	0.440	0.000
rs114478677 lBF = `24.4689` Chr`4` : `109,941,043`	0.559	0.441	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.558	0.442	0.000
rs114036970 lBF = `16.5897` Chr`2` : `25,230,221`	0.558	0.442	0.000
rs9268233 lBF = `33.0857` Chr`6` : `32,289,292`	0.558	0.442	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.557	0.443	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.557	0.443	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.557	0.443	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.556	0.444	0.000
rs12586774 lBF = `3.15733` Chr`14` : `26,129,566`	0.556	0.444	0.000
rs2995264 lBF = `29.0139` Chr`10` : `105,668,843`	0.000	0.444	0.556
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.556	0.444	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.556	0.444	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.556	0.444	0.000
rs1800750 lBF = `31.3993` Chr`6` : `31,542,963`	0.555	0.444	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.555	0.445	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.554	0.445	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.553	0.447	0.000
rs112473686 lBF = `9.94576` Chr`1` : `106,514,329`	0.553	0.447	0.000
rs78198802 lBF = `14.2898` Chr`8` : `22,900,168`	0.552	0.447	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.552	0.448	0.000
rs114987466 lBF = `13.887` Chr`1` : `21,632,046`	0.551	0.449	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.551	0.449	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.551	0.449	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.550	0.450	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.549	0.450	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.549	0.451	0.000
rs2233975 lBF = `19.432` Chr`6` : `31,080,009`	0.548	0.451	0.000
rs116464382 lBF = `20.4852` Chr`6` : `31,382,406`	0.547	0.453	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.547	0.453	0.000
rs9266777 lBF = `27.35` Chr`6` : `31,354,200`	0.546	0.454	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.546	0.454	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.545	0.455	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.545	0.455	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.545	0.455	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.544	0.455	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.544	0.456	0.000
rs117120368 lBF = `1.98635` Chr`18` : `70,129,472`	0.544	0.456	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.544	0.456	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.544	0.456	0.000
rs56201661 lBF = `19.276` Chr`3` : `189,658,609`	0.544	0.456	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.543	0.456	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.543	0.457	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.543	0.457	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.542	0.457	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.542	0.458	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.541	0.458	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.541	0.458	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.541	0.459	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.541	0.459	0.000
rs114998933 lBF = `19.8946` Chr`4` : `84,616,341`	0.541	0.459	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.540	0.460	0.000
rs117516871 lBF = `15.3218` Chr`11` : `46,312,214`	0.540	0.460	0.000
rs16991615 lBF = `13.5331` Chr`20` : `5,948,227`	0.539	0.461	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.539	0.461	0.000
rs191448950 lBF = `12.8335` Chr`1` : `55,584,844`	0.539	0.461	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.538	0.461	0.000
rs117144268 lBF = `17.6075` Chr`6` : `79,429,211`	0.538	0.462	0.000
rs1634706 lBF = `17.1188` Chr`6` : `31,178,289`	0.538	0.462	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.538	0.462	0.000
rs114139149 lBF = `14.2732` Chr`2` : `159,748,419`	0.537	0.462	0.000
rs2430193 lBF = `14.5977` Chr`5` : `141,788,679`	0.537	0.463	0.000
rs190888748 lBF = `7.58945` Chr`1` : `97,286,215`	0.537	0.463	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.537	0.463	0.000
rs75011346 lBF = `15.1821` Chr`1` : `163,292,579`	0.535	0.464	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.534	0.465	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.534	0.466	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.534	0.466	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.533	0.466	0.000
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rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.489	0.511	0.000
rs114489853 lBF = `11.471` Chr`4` : `92,492,891`	0.489	0.511	0.000
rs71325459 lBF = `16.2121` Chr`20` : `62,268,341`	0.000	0.511	0.489
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.488	0.511	0.000
rs75531736 lBF = `11.9899` Chr`6` : `18,642,745`	0.488	0.512	0.000
rs73462996 lBF = `14.9591` Chr`6` : `78,585,984`	0.488	0.512	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.488	0.512	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.488	0.512	0.000
rs115335082 lBF = `19.1593` Chr`6` : `30,966,969`	0.487	0.512	0.000
rs78837767 lBF = `19.649` Chr`6` : `138,638,738`	0.487	0.513	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.487	0.513	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.487	0.513	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.486	0.513	0.000
rs8192575 lBF = `77.0171` Chr`6` : `32,166,384`	0.486	0.514	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.486	0.514	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.486	0.514	0.000
rs75132287 lBF = `38.5657` Chr`11` : `30,433,063`	0.485	0.514	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.485	0.514	0.000
rs2834812 lBF = `1.53993` Chr`21` : `36,533,662`	0.485	0.514	0.000
rs117336177 lBF = `15.6541` Chr`8` : `66,701,846`	0.485	0.515	0.000
rs71482359 lBF = `16.8407` Chr`10` : `97,220,724`	0.485	0.515	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.485	0.515	0.000
rs115291397 lBF = `6.50118` Chr`2` : `61,060,043`	0.484	0.515	0.000
rs115890601 lBF = `18.5648` Chr`6` : `30,980,494`	0.484	0.516	0.000
rs149636167 lBF = `15.5188` Chr`2` : `65,216,817`	0.484	0.516	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.484	0.516	0.000
rs17589290 lBF = `2.83438` Chr`4` : `112,923,237`	0.484	0.516	0.000
rs16967767 lBF = `16.5612` Chr`13` : `106,606,772`	0.483	0.516	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.483	0.517	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.483	0.517	0.000
rs76485124 lBF = `10.1523` Chr`5` : `56,060,400`	0.483	0.517	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.482	0.517	0.000
rs61319746 lBF = `16.9132` Chr`5` : `43,845,213`	0.482	0.518	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.482	0.518	0.000
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.482	0.518	0.000
rs78867611 lBF = `12.7515` Chr`11` : `27,453,743`	0.482	0.518	0.000
rs79464621 lBF = `24.8591` Chr`5` : `151,383,540`	0.482	0.518	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.482	0.518	0.000
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.482	0.518	0.000
rs111974986 lBF = `6.05816` Chr`14` : `94,533,735`	0.482	0.518	0.000
rs4289842 lBF = `10.9242` Chr`8` : `117,683,144`	0.481	0.518	0.000
rs75703265 lBF = `17.7785` Chr`10` : `58,800,953`	0.481	0.519	0.000
rs2555469 lBF = `76.5082` Chr`6` : `32,179,494`	0.480	0.520	0.000
rs114914856 lBF = `18.0454` Chr`6` : `30,973,243`	0.480	0.520	0.000
rs17608585 lBF = `14.6972` Chr`10` : `58,890,761`	0.480	0.520	0.000
rs4809352 lBF = `5.2356` Chr`20` : `62,439,108`	0.479	0.521	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.479	0.521	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.479	0.521	0.000
rs117180213 lBF = `18.1114` Chr`17` : `46,070,227`	0.479	0.521	0.000
rs35988099 lBF = `9.08635` Chr`1` : `78,529,684`	0.479	0.521	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.478	0.521	0.000
rs77803816 lBF = `19.635` Chr`6` : `31,431,063`	0.478	0.522	0.000
rs78049208 lBF = `21.4107` Chr`1` : `218,613,620`	0.477	0.522	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.477	0.522	0.000
rs193022444 lBF = `2.33264` Chr`4` : `46,769,376`	0.477	0.523	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.477	0.523	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.477	0.523	0.000
rs16901979 lBF = `15.3333` Chr`8` : `128,124,916`	0.477	0.523	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.477	0.523	0.000
rs79733525 lBF = `15.1192` Chr`14` : `60,198,625`	0.476	0.524	0.000
rs114058084 lBF = `14.6399` Chr`5` : `62,851,833`	0.476	0.524	0.000
rs117409850 lBF = `13.4266` Chr`12` : `106,057,582`	0.476	0.524	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.475	0.525	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.475	0.525	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.475	0.525	0.000
rs8063761 lBF = `56.3804` Chr`16` : `90,027,626`	0.475	0.525	0.000
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.474	0.525	0.000
rs6785320 lBF = `10.9668` Chr`3` : `130,202,456`	0.474	0.526	0.000
rs117985388 lBF = `18.0317` Chr`20` : `59,959,761`	0.474	0.526	0.000
rs1805465 lBF = `0.666865` Chr`17` : `5,393,089`	0.474	0.526	0.000
rs79953717 lBF = `11.6276` Chr`4` : `145,986,745`	0.474	0.526	0.000
rs188695430 lBF = `3.81924` Chr`20` : `52,786,266`	0.474	0.526	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.474	0.526	0.000
rs188074355 lBF = `4.79154` Chr`2` : `123,026,148`	0.473	0.526	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.473	0.527	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.473	0.527	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.472	0.527	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.472	0.528	0.000
rs359312 lBF = `3.58094` Chr`10` : `17,388,143`	0.472	0.528	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.472	0.528	0.000
rs4352416 lBF = `12.7022` Chr`3` : `169,554,084`	0.000	0.529	0.471
rs117531883 lBF = `20.9443` Chr`8` : `8,309,054`	0.471	0.529	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.470	0.530	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.470	0.530	0.000
rs138402956 lBF = `3.53154` Chr`2` : `56,197,800`	0.470	0.530	0.000
rs117636037 lBF = `18.8537` Chr`12` : `38,519,375`	0.470	0.530	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.469	0.530	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.469	0.531	0.000
rs74911261 lBF = `18.6469` Chr`11` : `108,357,137`	0.469	0.531	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.469	0.531	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.468	0.531	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.468	0.532	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.468	0.532	0.000
rs76570619 lBF = `1.1837` Chr`1` : `113,246,730`	0.468	0.532	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 X0265

log Bayes Factor = 59.5497

contains 3 variants

0.4375

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1485

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8872

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8771

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8563

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8250

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8112

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8059

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8043

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7898

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7742

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7727

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7588

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7586

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7354

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7235

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7162

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7131

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7106

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7086

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7067

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7023

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7021

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7007

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6976

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6959

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6912

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6886

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6760

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6647

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6633

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6603

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6553

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6439

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6424

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6399

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6389

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6379

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6209

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6195

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6164

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6137

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6131

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6099

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6097

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5961

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5958

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5953

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5911

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5911

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5848

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5843

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5811

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5801

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5797

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5621

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5583

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5474

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5366

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5365

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5357

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5304

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5298

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5255

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5163

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5127

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5118

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5117

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5108

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5031

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4973

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4949

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4889

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4814

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4814

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4797

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4730

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4668

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4661

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4532

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4500

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4488

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4454

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4376

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4315

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4308

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4296

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3997

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3959

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3941

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3877

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3866

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3855

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3808

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3762

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3701

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3619

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3480

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3420

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3383

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3349

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3224

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3199

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3193

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3082

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3024

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3012

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2851

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2618

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2616

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2599

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2597

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2491

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2457

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2436

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2433

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2318

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2316

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2299

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2266

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2208

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2182

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2171

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2143

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2098

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1956

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1926

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1833

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1776

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1746

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1620

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1338

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0959

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0959

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0957

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0945

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0911

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0837

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0829

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0699

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0668

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0553

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0533

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0514

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`)