TreeWAS – [R94.0] Abnormal results of function studies of central nervous system

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
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.716	0.284	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.715	0.285	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.712	0.288	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.711	0.289	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.711	0.289	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.708	0.292	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.707	0.293	0.000
rs79989254 lBF = `16.0938` Chr`17` : `63,468,858`	0.706	0.294	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.705	0.294	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.705	0.295	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.705	0.295	0.000
rs16838078 lBF = `13.5832` Chr`1` : `157,069,261`	0.705	0.295	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.704	0.296	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.704	0.296	0.000
rs116861182 lBF = `20.5212` Chr`11` : `55,588,216`	0.703	0.297	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.702	0.297	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.700	0.300	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.696	0.304	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.694	0.306	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.692	0.308	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.690	0.310	0.000
rs17093325 lBF = `6.54462` Chr`20` : `34,644,985`	0.690	0.310	0.000
rs78250596 lBF = `20.8858` Chr`10` : `122,889,180`	0.688	0.312	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.687	0.313	0.000
rs7221713 lBF = `15.6984` Chr`17` : `59,735,398`	0.687	0.313	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.685	0.315	0.000
rs6019826 lBF = `3.26291` Chr`20` : `48,042,970`	0.684	0.316	0.000
rs116557628 lBF = `16.4187` Chr`4` : `151,340,224`	0.683	0.316	0.000
rs114846446 lBF = `9.16227` Chr`2` : `2,947,912`	0.679	0.320	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.679	0.321	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.678	0.322	0.000
rs76498519 lBF = `22.1067` Chr`4` : `103,638,420`	0.678	0.322	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.674	0.326	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.672	0.328	0.000
rs7554182 lBF = `3.02734` Chr`1` : `182,021,283`	0.671	0.329	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.669	0.331	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.669	0.331	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.669	0.331	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.667	0.333	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.666	0.334	0.000
rs72732436 lBF = `16.1169` Chr`1` : `99,464,107`	0.665	0.334	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.663	0.337	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.662	0.338	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.660	0.339	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.659	0.340	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.659	0.341	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.659	0.341	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.658	0.342	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.657	0.343	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.656	0.343	0.000
rs9310385 lBF = `12.836` Chr`3` : `11,611,146`	0.655	0.345	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.653	0.347	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.652	0.347	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.651	0.349	0.000
rs117353933 lBF = `32.4166` Chr`11` : `50,344,221`	0.650	0.349	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.649	0.351	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.648	0.352	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.646	0.354	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.646	0.354	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.644	0.356	0.000
rs76450399 lBF = `14.1937` Chr`12` : `9,143,781`	0.644	0.356	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.644	0.356	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.642	0.357	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.641	0.359	0.000
rs74252946 lBF = `13.4758` Chr`17` : `10,125,196`	0.639	0.361	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.639	0.361	0.000
rs76242505 lBF = `13.9864` Chr`20` : `55,606,163`	0.638	0.362	0.000
rs61762670 lBF = `20.2293` Chr`2` : `55,812,201`	0.637	0.363	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.636	0.363	0.000
rs11039358 lBF = `20.4615` Chr`11` : `47,746,962`	0.636	0.364	0.000
Affx-9433323 lBF = `14.4442` Chr`13` : `49,094,863`	0.635	0.365	0.000
rs78165376 lBF = `8.53544` Chr`3` : `177,552,699`	0.635	0.365	0.000
rs76858341 lBF = `24.4212` Chr`11` : `50,123,910`	0.634	0.366	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.631	0.368	0.000
rs116243243 lBF = `8.44204` Chr`3` : `153,086,913`	0.631	0.369	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.630	0.370	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.628	0.371	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.628	0.371	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.628	0.372	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.628	0.372	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.627	0.373	0.000
rs74678038 lBF = `16.2265` Chr`5` : `132,614,044`	0.626	0.374	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.625	0.375	0.000
rs117804393 lBF = `16.015` Chr`11` : `55,888,312`	0.625	0.375	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.624	0.376	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.623	0.377	0.000
rs56284116 lBF = `15.2697` Chr`5` : `171,133,253`	0.620	0.379	0.000
rs76061879 lBF = `12.1608` Chr`7` : `50,902,861`	0.620	0.380	0.000
rs3000140 lBF = `11.5012` Chr`1` : `80,000,648`	0.620	0.380	0.000
rs11847149 lBF = `9.29364` Chr`14` : `80,067,828`	0.620	0.380	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.620	0.380	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.620	0.380	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.619	0.381	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.619	0.381	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.616	0.383	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.616	0.383	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.616	0.384	0.000
rs139704751 lBF = `3.32066` Chr`19` : `55,735,478`	0.615	0.385	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.615	0.385	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	0.612	0.388	0.000
rs146650065 lBF = `9.46536` Chr`10` : `30,229,869`	0.612	0.388	0.000
rs117733335 lBF = `14.2344` Chr`11` : `6,473,013`	0.612	0.388	0.000
rs115044935 lBF = `24.1643` Chr`3` : `175,446,721`	0.612	0.388	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.612	0.388	0.000
rs116660070 lBF = `17.3726` Chr`3` : `19,939,758`	0.612	0.388	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.611	0.389	0.000
rs74112468 lBF = `12.4362` Chr`13` : `90,520,396`	0.611	0.389	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.611	0.389	0.000
rs10839331 lBF = `19.4244` Chr`11` : `49,701,411`	0.610	0.390	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.609	0.391	0.000
rs72952664 lBF = `8.79899` Chr`2` : `216,969,624`	0.609	0.391	0.000
rs11697196 lBF = `24.5155` Chr`20` : `42,717,172`	0.609	0.391	0.000
rs75631105 lBF = `17.5459` Chr`8` : `141,449,601`	0.608	0.391	0.000
rs28514585 lBF = `20.0653` Chr`8` : `129,636,084`	0.608	0.392	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.608	0.392	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.608	0.392	0.000
rs72981070 lBF = `12.7775` Chr`2` : `141,798,089`	0.607	0.393	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.606	0.394	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.606	0.394	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.606	0.394	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.605	0.395	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.605	0.395	0.000
rs799979 lBF = `8.99497` Chr`7` : `80,045,198`	0.603	0.397	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.603	0.397	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.601	0.399	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.600	0.400	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.600	0.400	0.000
rs76866386 lBF = `271.964` Chr`2` : `44,075,483`	0.599	0.400	0.000
rs77292666 lBF = `7.58228` Chr`21` : `33,214,050`	0.598	0.402	0.000
rs3021366 lBF = `84.3767` Chr`6` : `31,445,771`	0.598	0.402	0.000
rs80090905 lBF = `20.3715` Chr`11` : `47,800,628`	0.598	0.402	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.597	0.403	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.596	0.404	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.596	0.404	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.595	0.404	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.594	0.406	0.000
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.593	0.406	0.000
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.593	0.407	0.000
rs72952568 lBF = `24.7996` Chr`6` : `114,493,211`	0.592	0.408	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.590	0.410	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.589	0.411	0.000
rs181704351 lBF = `8.19928` Chr`1` : `70,147,866`	0.589	0.411	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.588	0.411	0.000
rs2282143 lBF = `124.222` Chr`6` : `160,557,643`	0.587	0.413	0.000
rs114619588 lBF = `11.9743` Chr`4` : `55,738,261`	0.586	0.414	0.000
rs61129840 lBF = `17.9422` Chr`3` : `16,363,529`	0.586	0.414	0.000
rs76220472 lBF = `17.6069` Chr`11` : `110,980,678`	0.584	0.416	0.000
rs71471187 lBF = `15.1039` Chr`10` : `87,819,622`	0.583	0.416	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.583	0.417	0.000
rs17132261 lBF = `6.67238` Chr`5` : `110,008,214`	0.582	0.418	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.582	0.418	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.580	0.420	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.580	0.420	0.000
rs116465999 lBF = `13.7306` Chr`2` : `167,730,727`	0.580	0.420	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.580	0.420	0.000
rs6580622 lBF = `15.5075` Chr`12` : `47,936,778`	0.580	0.420	0.000
rs115027032 lBF = `20.5036` Chr`4` : `104,164,892`	0.579	0.421	0.000
rs16902048 lBF = `13.4263` Chr`8` : `128,243,131`	0.578	0.422	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.577	0.423	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.577	0.423	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.577	0.423	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.576	0.423	0.000
rs7386241 lBF = `16.8881` Chr`8` : `139,240,856`	0.576	0.424	0.000
rs114089901 lBF = `24.7301` Chr`2` : `97,528,099`	0.575	0.425	0.000
rs41360247 lBF = `243.711` Chr`2` : `44,073,656`	0.573	0.427	0.000
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.571	0.429	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.570	0.430	0.000
rs79197728 lBF = `20.1944` Chr`7` : `18,613,603`	0.570	0.430	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.570	0.430	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.568	0.432	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.567	0.433	0.000
rs115573344 lBF = `14.0832` Chr`3` : `27,887,025`	0.566	0.434	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.566	0.434	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.566	0.434	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.566	0.434	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.565	0.435	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.565	0.435	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.564	0.435	0.000
rs2516484 lBF = `81.6627` Chr`6` : `31,496,381`	0.564	0.436	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.564	0.436	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.563	0.437	0.000
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.562	0.438	0.000
rs10788160 lBF = `19.1751` Chr`10` : `123,033,549`	0.562	0.438	0.000
rs4669891 lBF = `13.9025` Chr`2` : `12,997,528`	0.562	0.438	0.000
rs2496644 lBF = `15.9721` Chr`6` : `41,482,745`	0.561	0.439	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.561	0.439	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.560	0.440	0.000
rs115467216 lBF = `17.4437` Chr`5` : `121,359,965`	0.559	0.441	0.000
rs11944781 lBF = `4.16269` Chr`4` : `138,539,317`	0.557	0.443	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.556	0.443	0.000
rs888859 lBF = `16.0304` Chr`5` : `115,106,833`	0.554	0.446	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.554	0.446	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.553	0.447	0.000
rs80299072 lBF = `15.8593` Chr`8` : `36,556,762`	0.552	0.447	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.552	0.448	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.552	0.448	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.550	0.449	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.550	0.450	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.550	0.450	0.000
rs12370770 lBF = `24.384` Chr`12` : `112,277,084`	0.549	0.451	0.000
rs11822525 lBF = `43.7065` Chr`11` : `15,891,299`	0.547	0.453	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.547	0.453	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.547	0.453	0.000
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rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.469	0.531	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.468	0.532	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.468	0.532	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.467	0.533	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.467	0.533	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.467	0.533	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.467	0.533	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.466	0.533	0.000
rs34393743 lBF = `12.8628` Chr`10` : `90,304,313`	0.466	0.534	0.000
rs16890376 lBF = `13.4967` Chr`6` : `38,084,897`	0.465	0.535	0.000
rs116577322 lBF = `9.37016` Chr`5` : `132,850,336`	0.463	0.537	0.000
rs77795656 lBF = `18.6094` Chr`2` : `227,058,243`	0.463	0.537	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.462	0.538	0.000
rs7776443 lBF = `13.7836` Chr`6` : `114,404,959`	0.462	0.538	0.000
rs74853015 lBF = `6.29916` Chr`2` : `36,865,755`	0.462	0.538	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.462	0.538	0.000
rs13251303 lBF = `21.0972` Chr`8` : `34,230,938`	0.462	0.538	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.461	0.539	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.461	0.539	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.461	0.539	0.000
rs118006904 lBF = `18.7559` Chr`14` : `40,477,467`	0.461	0.539	0.000
rs116097603 lBF = `14.706` Chr`1` : `228,888,217`	0.460	0.540	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.460	0.540	0.000
rs117351200 lBF = `16.467` Chr`11` : `47,987,630`	0.459	0.541	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.458	0.542	0.000
rs11537751 lBF = `14.7645` Chr`11` : `47,587,452`	0.458	0.542	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.457	0.543	0.000
rs310518 lBF = `6.1487` Chr`5` : `82,819,119`	0.457	0.543	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.457	0.543	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.455	0.545	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.455	0.545	0.000
rs148273964 lBF = `14.1607` Chr`19` : `11,433,931`	0.455	0.545	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.454	0.545	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.454	0.546	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.454	0.546	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.454	0.546	0.000
rs79142871 lBF = `20.356` Chr`1` : `90,340,943`	0.454	0.546	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.454	0.546	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.453	0.546	0.000
rs74840523 lBF = `11.5604` Chr`4` : `181,498,044`	0.453	0.547	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.453	0.547	0.000
rs116251179 lBF = `15.6134` Chr`2` : `60,834,777`	0.452	0.547	0.000
rs12109285 lBF = `4.39094` Chr`5` : `21,749,348`	0.452	0.548	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.451	0.549	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.451	0.549	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.451	0.549	0.000
rs117924682 lBF = `15.9376` Chr`20` : `9,536,464`	0.451	0.549	0.000
rs7494275 lBF = `2.57294` Chr`14` : `56,231,800`	0.451	0.549	0.000
rs72728293 lBF = `32.154` Chr`14` : `65,578,757`	0.450	0.550	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.449	0.551	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.448	0.551	0.000
rs181807530 lBF = `6.07401` Chr`17` : `4,774,814`	0.448	0.552	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.447	0.552	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.447	0.553	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.446	0.554	0.000
rs117293402 lBF = `14.7593` Chr`6` : `110,946,140`	0.446	0.554	0.000
rs75818885 lBF = `10.272` Chr`2` : `56,351,058`	0.445	0.554	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.445	0.555	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.445	0.555	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.445	0.555	0.000
rs114609132 lBF = `14.2901` Chr`2` : `1,551,467`	0.444	0.555	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.444	0.556	0.000
rs191448950 lBF = `12.8335` Chr`1` : `55,584,844`	0.444	0.556	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.444	0.556	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.444	0.556	0.000
rs7358151 lBF = `2.57812` Chr`10` : `28,017,572`	0.443	0.557	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.443	0.557	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.442	0.558	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.442	0.558	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.442	0.558	0.000
rs4757833 lBF = `0.739549` Chr`11` : `19,663,278`	0.442	0.558	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.442	0.558	0.000
rs142507408 lBF = `2.75227` Chr`8` : `106,455,558`	0.441	0.558	0.000
rs79335261 lBF = `5.7548` Chr`12` : `56,497,641`	0.441	0.559	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.440	0.559	0.000
rs11255615 lBF = `7.17113` Chr`10` : `8,324,889`	0.440	0.559	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.440	0.560	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.439	0.560	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.439	0.561	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.439	0.561	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.439	0.561	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.438	0.561	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.438	0.561	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.438	0.562	0.000
rs189578969 lBF = `2.27923` Chr`4` : `46,732,290`	0.438	0.562	0.000
rs113360360 lBF = `21.6171` Chr`5` : `169,527,480`	0.438	0.562	0.000
rs11967333 lBF = `18.7992` Chr`6` : `23,790,159`	0.438	0.562	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.437	0.563	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.437	0.563	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.437	0.563	0.000
rs11980091 lBF = `6.40349` Chr`7` : `12,975,555`	0.436	0.563	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.436	0.564	0.000
rs114028985 lBF = `29.3338` Chr`2` : `104,957,878`	0.436	0.564	0.000
rs9589866 lBF = `1.81883` Chr`13` : `87,675,072`	0.435	0.565	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.434	0.566	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.4915

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4743

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.9109

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7843

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7169

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.7168

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7168

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7161

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7159

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7147

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7132

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.7127

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7124

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7118

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7084

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7079

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7076

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7064

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7058

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7037

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6971

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6942

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.6936

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6802

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6791

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6788

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6750

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6568

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6538

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6525

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6507

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6470

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6459

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6420

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6352

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6261

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6249

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6239

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6236

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6228

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.6147

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6139

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6101

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6018

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6017

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5857

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5788

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5563

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5470

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5239

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.5088

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5076

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.5057

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5045

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4818

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.4786

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4707

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.4658

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4397

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.4305

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4154

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.4126

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4097

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4058

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4001

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.3978

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3855

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3813

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.3811

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3785

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3746

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.3729

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.3677

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.3675

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3627

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3598

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3510

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3507

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3451

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3447

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3327

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3320

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.3306

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.3177

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3125

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.3103

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3098

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3091

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.2932

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2920

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2876

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.2812

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2636

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.2622

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.2615

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.2614

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2540

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2494

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2438

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2379

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2333

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.2223

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2123

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2123

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.2058

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2053

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1945

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.1927

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.1830

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1801

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1791

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.1710

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1637

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1624

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1576

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1568

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1563

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.1522

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.1518

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1457

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.1456

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.1434

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1403

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1385

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1363

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1352

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1257

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1227

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1175

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1175

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1172

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1151

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1143

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1113

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1107

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1062

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.1017

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0999

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0938

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0916

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0870

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0837

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.0836

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0777

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.0694

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0685

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0676

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0633

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0625

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.0617

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0587

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.0538

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`)