TreeWAS – [I45.3] Trifascicular block

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
rs483465 lBF = `19.2338` Chr`3` : `136,047,977`	0.871	0.129	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.855	0.145	0.000
rs6693017 lBF = `1.88725` Chr`1` : `220,977,333`	0.849	0.151	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.846	0.154	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.838	0.162	0.000
rs73099187 lBF = `9.66779` Chr`7` : `35,291,491`	0.000	0.166	0.834
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.823	0.177	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.820	0.180	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.817	0.183	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.814	0.186	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.812	0.188	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.812	0.188	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.810	0.190	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.809	0.191	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.800	0.200	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.799	0.201	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.796	0.204	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.794	0.205	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.791	0.209	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.786	0.214	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.782	0.218	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.782	0.218	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.770	0.230	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.765	0.235	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.761	0.239	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.761	0.239	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.760	0.240	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.758	0.242	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.757	0.243	0.000
rs17650401 lBF = `1.7716` Chr`4` : `24,375,833`	0.000	0.246	0.754
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.750	0.250	0.000
rs2215614 lBF = `7.56312` Chr`7` : `35,277,093`	0.000	0.250	0.750
rs79215950 lBF = `8.20907` Chr`7` : `35,277,067`	0.000	0.253	0.747
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.747	0.253	0.000
rs116962450 lBF = `7.81708` Chr`12` : `90,500,741`	0.744	0.256	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.742	0.258	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.741	0.259	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.740	0.260	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.736	0.264	0.000
rs77393224 lBF = `11.2052` Chr`6` : `34,381,136`	0.734	0.266	0.000
rs118148296 lBF = `8.65957` Chr`18` : `33,640,579`	0.734	0.266	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.734	0.266	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.733	0.267	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.731	0.269	0.000
rs7692863 lBF = `13.408` Chr`4` : `130,707,396`	0.731	0.269	0.000
rs113070825 lBF = `18.5714` Chr`7` : `17,430,916`	0.730	0.269	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.730	0.270	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.730	0.270	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.730	0.270	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.728	0.272	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.723	0.277	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.722	0.278	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.720	0.280	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.718	0.282	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.718	0.282	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.717	0.283	0.000
rs7907629 lBF = `11.4244` Chr`10` : `105,549,440`	0.716	0.284	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.716	0.284	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.715	0.285	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.715	0.285	0.000
rs112424909 lBF = `17.4922` Chr`18` : `9,705,858`	0.714	0.286	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.713	0.287	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.713	0.287	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.712	0.288	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.712	0.288	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.710	0.290	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.709	0.291	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.709	0.291	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.708	0.292	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.707	0.293	0.000
rs1528580 lBF = `7.13311` Chr`4` : `92,241,587`	0.705	0.295	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.705	0.295	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.704	0.296	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.704	0.296	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.703	0.297	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.701	0.299	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.701	0.299	0.000
rs12214804 lBF = `1.50806` Chr`6` : `34,188,866`	0.000	0.300	0.700
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.700	0.300	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.699	0.301	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.699	0.301	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.699	0.301	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.699	0.301	0.000
rs75036812 lBF = `31.3953` Chr`20` : `48,915,715`	0.699	0.301	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.699	0.301	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.698	0.302	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.698	0.302	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.698	0.302	0.000
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.698	0.302	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.697	0.303	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.695	0.304	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.695	0.305	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.694	0.306	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.694	0.306	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.693	0.306	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.693	0.307	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.693	0.307	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.693	0.307	0.000
rs78750032 lBF = `11.0825` Chr`1` : `156,671,013`	0.691	0.308	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.691	0.309	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.690	0.309	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.690	0.310	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.690	0.310	0.000
rs12813285 lBF = `22.3499` Chr`12` : `68,206,219`	0.689	0.311	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.689	0.311	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.689	0.311	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.689	0.311	0.000
rs118178626 lBF = `22.4284` Chr`20` : `58,995,874`	0.688	0.311	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.688	0.311	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.688	0.312	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.688	0.312	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.687	0.313	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.686	0.314	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.686	0.314	0.000
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.685	0.315	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.685	0.315	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.685	0.315	0.000
rs76054655 lBF = `10.3188` Chr`2` : `50,744,940`	0.684	0.315	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.684	0.316	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.684	0.316	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.683	0.317	0.000
rs114113732 lBF = `13.53` Chr`1` : `170,152,756`	0.683	0.317	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.682	0.318	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.682	0.318	0.000
rs79268501 lBF = `16.8497` Chr`18` : `55,979,238`	0.682	0.318	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.682	0.318	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.682	0.318	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.318	0.682
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.681	0.319	0.000
rs817362 lBF = `8.10658` Chr`20` : `62,559,964`	0.000	0.320	0.680
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.680	0.320	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.680	0.320	0.000
rs74780414 lBF = `12.9103` Chr`2` : `207,951,413`	0.679	0.321	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.678	0.322	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.678	0.322	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.678	0.322	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.677	0.323	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.677	0.323	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.676	0.324	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.676	0.324	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.676	0.324	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.676	0.324	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.325	0.675
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.675	0.325	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.675	0.325	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.675	0.325	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.674	0.326	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.674	0.326	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.674	0.326	0.000
rs41274622 lBF = `16.7566` Chr`10` : `55,570,347`	0.673	0.326	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.672	0.328	0.000
rs35615859 lBF = `14.2527` Chr`1` : `49,057,717`	0.672	0.328	0.000
rs77119043 lBF = `15.2787` Chr`8` : `48,313,295`	0.672	0.328	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.672	0.328	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.671	0.329	0.000
rs118162784 lBF = `12.6345` Chr`18` : `332,259`	0.670	0.329	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.670	0.330	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.670	0.330	0.000
rs45570136 lBF = `13.3696` Chr`11` : `113,806,744`	0.670	0.330	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.670	0.330	0.000
rs79343817 lBF = `15.2744` Chr`10` : `71,822,901`	0.669	0.330	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.669	0.330	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.669	0.331	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.669	0.331	0.000
rs74591415 lBF = `13.4181` Chr`2` : `64,864,450`	0.668	0.331	0.000
rs17116138 lBF = `12.9323` Chr`11` : `113,803,666`	0.668	0.332	0.000
rs116959808 lBF = `13.4797` Chr`7` : `78,588,768`	0.667	0.333	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.667	0.333	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.667	0.333	0.000
rs114418084 lBF = `12.5108` Chr`4` : `106,374,291`	0.667	0.333	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.666	0.333	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.666	0.334	0.000
rs76194019 lBF = `13.1316` Chr`11` : `8,338,131`	0.666	0.334	0.000
rs117466338 lBF = `32.7518` Chr`20` : `56,233,845`	0.666	0.334	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.666	0.334	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.666	0.334	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.665	0.334	0.000
rs62490898 lBF = `22.0013` Chr`7` : `135,697,319`	0.665	0.335	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.665	0.335	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.665	0.335	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.664	0.335	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.664	0.336	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.664	0.336	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.664	0.336	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.664	0.336	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.663	0.336	0.000
rs73008782 lBF = `8.48892` Chr`6` : `145,689,914`	0.664	0.336	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.663	0.337	0.000
rs9457925 lBF = `223.212` Chr`6` : `160,848,743`	0.663	0.337	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.663	0.337	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.662	0.337	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.662	0.338	0.000
rs34159951 lBF = `19.1998` Chr`5` : `45,689,447`	0.662	0.338	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.662	0.338	0.000
rs11577931 lBF = `38.4581` Chr`1` : `109,820,884`	0.000	0.339	0.661
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.661	0.339	0.000
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.660	0.340	0.000
rs76638161 lBF = `13.1468` Chr`11` : `109,094,318`	0.659	0.341	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.659	0.341	0.000
rs114718455 lBF = `13.0267` Chr`3` : `53,464,055`	0.659	0.341	0.000
rs602633 lBF = `124.913` Chr`1` : `109,821,511`	0.000	0.341	0.659
rs117733303 lBF = `216.685` Chr`6` : `160,922,870`	0.657	0.343	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.657	0.343	0.000
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rs201855 lBF = `7.24773` Chr`11` : `32,658,064`	0.604	0.396	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.604	0.396	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.604	0.396	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.603	0.397	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.603	0.397	0.000
rs117259901 lBF = `14.326` Chr`20` : `14,679,824`	0.603	0.397	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.603	0.397	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.602	0.397	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.602	0.398	0.000
rs76150537 lBF = `15.7037` Chr`2` : `67,063,487`	0.602	0.398	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.601	0.399	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.600	0.399	0.000
rs185543003 lBF = `13.0544` Chr`19` : `2,714,170`	0.600	0.400	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.600	0.400	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.600	0.400	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.600	0.400	0.000
rs984001 lBF = `9.46508` Chr`10` : `44,429,319`	0.600	0.400	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.599	0.400	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.599	0.401	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.598	0.402	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.598	0.402	0.000
rs35539056 lBF = `18.4091` Chr`5` : `121,898,632`	0.598	0.402	0.000
rs3731249 lBF = `12.0614` Chr`9` : `21,970,916`	0.598	0.402	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.598	0.402	0.000
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.598	0.402	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.597	0.403	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.597	0.403	0.000
rs181319480 lBF = `9.5655` Chr`3` : `58,793,057`	0.597	0.403	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.597	0.403	0.000
rs117029533 lBF = `21.9889` Chr`12` : `66,632,067`	0.597	0.403	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.596	0.404	0.000
rs72884766 lBF = `12.6675` Chr`6` : `63,869,257`	0.596	0.404	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.595	0.404	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.595	0.405	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.595	0.405	0.000
rs76681384 lBF = `14.081` Chr`1` : `231,134,798`	0.595	0.405	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.595	0.405	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.594	0.405	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.594	0.406	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.594	0.406	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.594	0.406	0.000
rs117682777 lBF = `14.7803` Chr`10` : `103,523,909`	0.593	0.407	0.000
rs116490929 lBF = `12.9583` Chr`1` : `62,741,015`	0.593	0.407	0.000
rs56005336 lBF = `20.0755` Chr`6` : `34,144,189`	0.592	0.407	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.593	0.407	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	0.592	0.408	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.592	0.408	0.000
rs117038501 lBF = `17.8854` Chr`10` : `81,028,250`	0.592	0.408	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.591	0.409	0.000
rs2968297 lBF = `15.5449` Chr`5` : `63,558,925`	0.591	0.409	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.591	0.409	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.591	0.409	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.590	0.410	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.590	0.410	0.000
rs41283728 lBF = `15.7405` Chr`10` : `29,136,175`	0.590	0.410	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.589	0.411	0.000
rs6859667 lBF = `6.90057` Chr`5` : `78,745,042`	0.589	0.411	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.589	0.411	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.588	0.411	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.588	0.412	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.588	0.412	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.588	0.412	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.588	0.412	0.000
rs13398848 lBF = `1.1051` Chr`2` : `84,245,168`	0.587	0.413	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.587	0.413	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.587	0.413	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.587	0.413	0.000
rs75047119 lBF = `40.63` Chr`13` : `110,888,139`	0.587	0.413	0.000
rs35067526 lBF = `15.9585` Chr`11` : `80,815,399`	0.586	0.413	0.000
rs72677908 lBF = `12.809` Chr`1` : `62,462,325`	0.586	0.414	0.000
rs73045775 lBF = `23.3857` Chr`12` : `8,674,905`	0.586	0.414	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.586	0.414	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.586	0.414	0.000
rs76719755 lBF = `19.161` Chr`18` : `66,910,435`	0.586	0.414	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.586	0.414	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.585	0.414	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.585	0.415	0.000
rs77959025 lBF = `16.9241` Chr`8` : `128,761,169`	0.585	0.415	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.584	0.416	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.584	0.416	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.584	0.416	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.584	0.416	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.584	0.416	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.584	0.416	0.000
rs36097565 lBF = `19.5629` Chr`19` : `11,461,486`	0.584	0.416	0.000
rs35220816 lBF = `7.31535` Chr`12` : `115,082,017`	0.583	0.417	0.000
rs62272723 lBF = `13.2782` Chr`3` : `151,963,160`	0.583	0.417	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.582	0.418	0.000
rs662799 lBF = `19.0331` Chr`11` : `116,663,707`	0.582	0.418	0.000
rs958444 lBF = `7.97902` Chr`5` : `155,405,405`	0.582	0.418	0.000
rs115754869 lBF = `17.8128` Chr`3` : `152,084,816`	0.582	0.418	0.000
rs75779669 lBF = `19.3932` Chr`8` : `20,955,032`	0.582	0.418	0.000
rs79843152 lBF = `32.6845` Chr`3` : `185,749,963`	0.582	0.418	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.581	0.419	0.000
rs17513895 lBF = `16.0293` Chr`20` : `3,654,820`	0.581	0.419	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 X0090

log Bayes Factor = 11.7172

contains 2 variants

0.4231

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3053

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0919

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9967

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9860

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9799

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9766

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.9555

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.9476

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9228

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9152

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9083

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9059

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.8863

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.8860

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8788

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8689

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8683

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8650

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8625

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8614

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8592

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8479

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8449

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8448

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8437

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8423

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.8413

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8372

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8304

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8154

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.8137

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8099

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7913

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7900

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.7895

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7866

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7817

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7816

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7765

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7745

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7737

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7731

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7696

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7673

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7648

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7630

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7620

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.7553

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7517

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.7504

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7474

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.7469

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7389

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.7311

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7201

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7188

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7169

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7168

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7167

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7165

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7164

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7156

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7154

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7149

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7132

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7131

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7126

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7122

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7107

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7099

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7038

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7025

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7003

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6985

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6954

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6870

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6830

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.6771

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.6766

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6748

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6702

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6694

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6679

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.6678

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6673

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6517

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.6464

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6402

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6377

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6364

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6362

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6324

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6231

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6210

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6178

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6169

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6168

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6099

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6079

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5901

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5892

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5779

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5747

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5714

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5548

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5284

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5244

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.5147

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5140

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5138

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.5018

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.4993

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4932

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4885

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.4863

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4760

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4697

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4660

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4276

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4100

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.4088

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4013

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3736

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3679

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3678

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3630

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3302

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3190

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3121

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3086

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3067

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.3012

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2807

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2771

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2760

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2654

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2604

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2416

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2374

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2345

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2179

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1913

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1873

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1818

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1767

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1280

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.1085

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0873

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.0872

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0800

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`)