TreeWAS – [I45.9] Conduction disorder, unspecified

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
rs4953030 lBF = `13.2993` Chr`2` : `44,112,075`	0.000	0.030	0.970
rs35835288 lBF = `5.23314` Chr`1` : `222,982,059`	0.896	0.104	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.871	0.129	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.864	0.136	0.000
rs118077967 lBF = `15.5782` Chr`6` : `132,724,799`	0.855	0.145	0.000
rs7226127 lBF = `11.5848` Chr`17` : `73,959,466`	0.855	0.145	0.000
rs117597017 lBF = `9.81246` Chr`14` : `56,885,357`	0.853	0.147	0.000
rs62235665 lBF = `13.4781` Chr`21` : `41,534,335`	0.852	0.148	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.850	0.150	0.000
rs116869561 lBF = `11.863` Chr`13` : `91,230,333`	0.850	0.150	0.000
rs72712141 lBF = `11.7701` Chr`1` : `156,706,914`	0.850	0.150	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.848	0.152	0.000
rs13210382 lBF = `7.7697` Chr`6` : `18,326,873`	0.848	0.152	0.000
rs1528287 lBF = `13.6349` Chr`12` : `80,985,872`	0.843	0.157	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.841	0.159	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.841	0.159	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.837	0.163	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.837	0.163	0.000
rs17863057 lBF = `17.0844` Chr`7` : `89,897,703`	0.836	0.164	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.836	0.164	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.833	0.167	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.831	0.169	0.000
rs17599856 lBF = `19.5866` Chr`5` : `136,371,769`	0.830	0.170	0.000
rs114639805 lBF = `17.9862` Chr`5` : `152,612,967`	0.830	0.170	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.830	0.170	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.829	0.171	0.000
rs115566179 lBF = `17.7927` Chr`6` : `34,787,537`	0.824	0.176	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.823	0.177	0.000
rs146131423 lBF = `14.8119` Chr`7` : `75,896,741`	0.820	0.180	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.815	0.185	0.000
rs114344942 lBF = `24.8284` Chr`6` : `34,207,990`	0.814	0.186	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.812	0.188	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.811	0.189	0.000
rs41281112 lBF = `6.88296` Chr`13` : `100,518,634`	0.810	0.190	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.810	0.190	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.810	0.190	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.808	0.192	0.000
rs16988500 lBF = `15.6075` Chr`4` : `33,000,750`	0.804	0.196	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.797	0.203	0.000
rs12772609 lBF = `14.1883` Chr`10` : `126,378,406`	0.794	0.205	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.791	0.209	0.000
rs76865013 lBF = `11.792` Chr`10` : `72,886,147`	0.790	0.210	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.789	0.211	0.000
rs17690804 lBF = `12.2799` Chr`14` : `88,711,855`	0.789	0.211	0.000
rs78554755 lBF = `16.3804` Chr`10` : `45,343,576`	0.789	0.211	0.000
rs116954357 lBF = `6.54721` Chr`19` : `20,223,681`	0.785	0.214	0.000
rs75842146 lBF = `12.2652` Chr`14` : `26,461,063`	0.784	0.216	0.000
rs114355919 lBF = `13.1807` Chr`6` : `34,157,315`	0.782	0.218	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.779	0.221	0.000
rs61944384 lBF = `10.148` Chr`12` : `111,952,215`	0.000	0.222	0.778
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.778	0.222	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.777	0.223	0.000
rs17727296 lBF = `13.2947` Chr`8` : `72,558,829`	0.775	0.225	0.000
rs115089939 lBF = `5.12906` Chr`2` : `139,874,228`	0.772	0.228	0.000
rs113495651 lBF = `14.4188` Chr`20` : `31,446,766`	0.772	0.228	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.772	0.228	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.771	0.228	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.770	0.230	0.000
rs114113732 lBF = `13.53` Chr`1` : `170,152,756`	0.767	0.233	0.000
rs79235855 lBF = `16.45` Chr`12` : `1,537,749`	0.766	0.234	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.766	0.234	0.000
rs76295380 lBF = `6.62984` Chr`5` : `159,424,526`	0.766	0.234	0.000
rs76863546 lBF = `18.7284` Chr`2` : `51,383,069`	0.765	0.235	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.764	0.236	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.763	0.237	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.762	0.238	0.000
rs11607791 lBF = `6.04452` Chr`11` : `49,358,347`	0.762	0.238	0.000
rs4512312 lBF = `11.8219` Chr`7` : `89,728,252`	0.761	0.239	0.000
rs17887018 lBF = `17.3793` Chr`19` : `36,641,563`	0.761	0.239	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.761	0.239	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.758	0.242	0.000
rs3974678 lBF = `23.4169` Chr`11` : `49,363,378`	0.756	0.244	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.756	0.244	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.755	0.244	0.000
rs77168252 lBF = `9.86373` Chr`11` : `128,734,360`	0.755	0.245	0.000
rs117335248 lBF = `11.2625` Chr`20` : `30,148,324`	0.754	0.246	0.000
rs117446263 lBF = `22.5816` Chr`6` : `160,847,571`	0.752	0.248	0.000
rs2780226 lBF = `5.10037` Chr`6` : `34,199,092`	0.751	0.249	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.750	0.250	0.000
rs9372863 lBF = `8.8969` Chr`6` : `127,618,198`	0.750	0.250	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.749	0.250	0.000
rs3800461 lBF = `38.5883` Chr`6` : `34,616,322`	0.749	0.251	0.000
rs12661855 lBF = `17.4102` Chr`6` : `42,454,778`	0.748	0.251	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.745	0.255	0.000
rs62237594 lBF = `13.6107` Chr`21` : `41,465,664`	0.745	0.255	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.744	0.256	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.744	0.256	0.000
rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.743	0.257	0.000
rs12214804 lBF = `1.50806` Chr`6` : `34,188,866`	0.000	0.258	0.742
rs58786959 lBF = `12.1004` Chr`11` : `49,185,414`	0.742	0.258	0.000
rs4450776 lBF = `1.99273` Chr`3` : `111,423,129`	0.742	0.258	0.000
rs75431865 lBF = `18.0926` Chr`20` : `30,160,111`	0.741	0.259	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.740	0.260	0.000
rs368735 lBF = `6.01789` Chr`6` : `18,293,832`	0.739	0.261	0.000
rs12495399 lBF = `15.7876` Chr`3` : `50,776,882`	0.738	0.262	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.738	0.262	0.000
rs41279092 lBF = `7.635` Chr`12` : `112,924,706`	0.000	0.262	0.738
rs116971837 lBF = `14.357` Chr`17` : `8,680,917`	0.738	0.262	0.000
rs80248311 lBF = `17.5452` Chr`7` : `50,218,523`	0.737	0.263	0.000
rs4234593 lBF = `6.52578` Chr`3` : `186,074,972`	0.736	0.264	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.735	0.265	0.000
rs78018806 lBF = `19.3765` Chr`13` : `103,238,877`	0.734	0.266	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.733	0.266	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.733	0.267	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.732	0.268	0.000
rs76282174 lBF = `14.6012` Chr`11` : `75,983,514`	0.730	0.270	0.000
rs12660335 lBF = `12.2121` Chr`6` : `42,454,761`	0.730	0.270	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.726	0.274	0.000
rs78606339 lBF = `1.33923` Chr`5` : `165,428,979`	0.725	0.275	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.725	0.275	0.000
rs28667337 lBF = `14.7115` Chr`13` : `98,218,984`	0.724	0.275	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.723	0.277	0.000
rs9262176 lBF = `13.9578` Chr`6` : `30,731,330`	0.721	0.279	0.000
rs17157913 lBF = `2.89229` Chr`7` : `110,340,974`	0.720	0.280	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.719	0.281	0.000
rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.717	0.283	0.000
rs78825320 lBF = `12.1904` Chr`20` : `48,694,630`	0.716	0.284	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.714	0.286	0.000
rs7213234 lBF = `7.51298` Chr`17` : `36,980,163`	0.714	0.286	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.713	0.286	0.000
rs41272485 lBF = `12.7038` Chr`1` : `170,135,693`	0.713	0.287	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.713	0.287	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.711	0.289	0.000
rs7653911 lBF = `27.7327` Chr`4` : `33,655,673`	0.710	0.290	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.709	0.291	0.000
rs67455183 lBF = `5.50415` Chr`8` : `10,145,925`	0.000	0.291	0.709
rs117346609 lBF = `16.6269` Chr`7` : `96,852,491`	0.708	0.292	0.000
rs117173876 lBF = `14.6692` Chr`13` : `38,647,866`	0.706	0.294	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.705	0.295	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	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
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.703	0.297	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.702	0.298	0.000
rs7908698 lBF = `7.07004` Chr`10` : `106,139,294`	0.702	0.298	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.701	0.299	0.000
rs80237806 lBF = `12.8825` Chr`5` : `176,728,878`	0.701	0.299	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.700	0.300	0.000
rs79818456 lBF = `12.4174` Chr`7` : `33,808,171`	0.700	0.300	0.000
rs76503726 lBF = `17.5831` Chr`3` : `36,613,237`	0.700	0.300	0.000
rs79983462 lBF = `10.1466` Chr`7` : `123,102,893`	0.700	0.300	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.699	0.301	0.000
rs117983592 lBF = `16.5969` Chr`20` : `50,928,582`	0.699	0.301	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.699	0.301	0.000
rs76087002 lBF = `13.692` Chr`4` : `187,555,428`	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
rs73178603 lBF = `12.117` Chr`7` : `155,065,202`	0.698	0.302	0.000
rs77475581 lBF = `28.0873` Chr`7` : `3,375,369`	0.698	0.302	0.000
rs295318 lBF = `14.2072` Chr`3` : `141,363,176`	0.697	0.303	0.000
rs10998624 lBF = `6.57414` Chr`10` : `70,939,801`	0.697	0.303	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.697	0.303	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.696	0.304	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.696	0.304	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.696	0.304	0.000
rs7265420 lBF = `21.3322` Chr`20` : `4,182,322`	0.696	0.304	0.000
rs73153964 lBF = `7.32997` Chr`7` : `141,751,052`	0.695	0.305	0.000
rs12070935 lBF = `15.5963` Chr`1` : `5,091,631`	0.694	0.306	0.000
rs116860688 lBF = `17.0502` Chr`10` : `106,157,002`	0.694	0.306	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.693	0.307	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.692	0.308	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.691	0.309	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.691	0.309	0.000
rs117178387 lBF = `11.7654` Chr`6` : `111,137,080`	0.690	0.309	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.690	0.310	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.688	0.311	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.688	0.312	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.687	0.313	0.000
rs631043 lBF = `11.8012` Chr`11` : `76,742,307`	0.687	0.313	0.000
rs78060082 lBF = `21.2631` Chr`10` : `81,065,375`	0.687	0.313	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.687	0.313	0.000
rs139429326 lBF = `11.6781` Chr`6` : `110,946,339`	0.686	0.314	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.686	0.314	0.000
rs12433287 lBF = `12.511` Chr`14` : `75,697,380`	0.686	0.314	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.684	0.315	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.684	0.316	0.000
rs76632111 lBF = `6.34649` Chr`5` : `35,441,720`	0.684	0.316	0.000
rs78253958 lBF = `14.8213` Chr`2` : `51,204,750`	0.683	0.317	0.000
rs116350627 lBF = `18.5363` Chr`3` : `1,467,635`	0.682	0.318	0.000
rs115310313 lBF = `22.9207` Chr`3` : `51,811,751`	0.682	0.318	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.681	0.319	0.000
rs2197815 lBF = `23.6137` Chr`4` : `111,566,877`	0.681	0.319	0.000
rs13227807 lBF = `14.7212` Chr`7` : `68,454,912`	0.681	0.319	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.680	0.320	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.680	0.320	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.679	0.321	0.000
rs117138325 lBF = `14.5458` Chr`12` : `74,850,188`	0.679	0.321	0.000
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.679	0.321	0.000
rs114477071 lBF = `15.5877` Chr`6` : `14,938,860`	0.679	0.321	0.000
rs61988316 lBF = `17.5259` Chr`14` : `35,888,993`	0.678	0.321	0.000
rs13414323 lBF = `20.469` Chr`2` : `2,225,210`	0.678	0.322	0.000
rs61907889 lBF = `12.445` Chr`11` : `113,789,261`	0.678	0.322	0.000
rs117956319 lBF = `13.4307` Chr`8` : `32,191,896`	0.678	0.322	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.678	0.322	0.000
rs75461507 lBF = `15.1084` Chr`5` : `85,847,842`	0.678	0.322	0.000
rs117167710 lBF = `18.286` Chr`19` : `49,602,287`	0.677	0.323	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.677	0.323	0.000
rs10999556 lBF = `11.1577` Chr`10` : `72,571,360`	0.677	0.323	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.676	0.324	0.000
rs11678166 lBF = `11.2921` Chr`2` : `61,157,720`	0.675	0.325	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.675	0.325	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.675	0.325	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.674	0.326	0.000
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rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.610	0.389	0.000
rs187986843 lBF = `15.061` Chr`12` : `69,080,770`	0.610	0.389	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.610	0.390	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.610	0.390	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.610	0.390	0.000
rs73582359 lBF = `18.0266` Chr`13` : `104,556,680`	0.610	0.390	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.610	0.390	0.000
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.609	0.390	0.000
rs78990647 lBF = `15.3465` Chr`2` : `236,837,582`	0.609	0.391	0.000
rs72759465 lBF = `7.31467` Chr`1` : `244,867,747`	0.609	0.391	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.608	0.392	0.000
rs76888481 lBF = `17.9427` Chr`18` : `67,521,736`	0.608	0.392	0.000
rs1265161 lBF = `16.8347` Chr`6` : `31,137,660`	0.608	0.392	0.000
rs76566749 lBF = `12.0109` Chr`6` : `145,423,991`	0.607	0.393	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.607	0.393	0.000
rs11608709 lBF = `15.4681` Chr`12` : `99,302,859`	0.607	0.393	0.000
rs117046754 lBF = `24.4021` Chr`11` : `77,973,378`	0.607	0.393	0.000
rs17057381 lBF = `1.98864` Chr`8` : `27,416,801`	0.607	0.393	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.607	0.393	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.607	0.393	0.000
rs114388623 lBF = `15.1083` Chr`1` : `242,921,341`	0.607	0.393	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.606	0.394	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.606	0.394	0.000
rs79336044 lBF = `13.069` Chr`6` : `63,656,987`	0.606	0.394	0.000
rs62432529 lBF = `5.95933` Chr`6` : `138,933,464`	0.606	0.394	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.606	0.394	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.606	0.394	0.000
rs11969073 lBF = `8.27145` Chr`6` : `85,127,098`	0.605	0.395	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.605	0.395	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.605	0.395	0.000
rs77224575 lBF = `13.6199` Chr`11` : `134,322,631`	0.605	0.395	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.604	0.395	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.604	0.396	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.604	0.396	0.000
rs117647575 lBF = `15.1304` Chr`17` : `71,591,669`	0.604	0.396	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.604	0.396	0.000
rs117458579 lBF = `15.4218` Chr`12` : `15,351,989`	0.604	0.396	0.000
rs1623026 lBF = `23.4509` Chr`6` : `31,188,312`	0.603	0.396	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
rs78614307 lBF = `12.2775` Chr`19` : `5,790,540`	0.603	0.397	0.000
rs62373905 lBF = `23.1507` Chr`5` : `116,522,803`	0.602	0.397	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.602	0.398	0.000
rs79215307 lBF = `13.0123` Chr`10` : `130,302,069`	0.602	0.398	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.602	0.398	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.602	0.398	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.601	0.398	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.601	0.399	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.601	0.399	0.000
rs80210050 lBF = `16.8521` Chr`4` : `184,265,904`	0.601	0.399	0.000
rs76037241 lBF = `15.2229` Chr`18` : `3,178,541`	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
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.600	0.400	0.000
rs80319776 lBF = `29.4798` Chr`2` : `149,090,166`	0.600	0.400	0.000
Affx-8411664 lBF = `18.4862` Chr`12` : `71,094,955`	0.600	0.400	0.000
rs117883435 lBF = `14.5495` Chr`21` : `27,788,794`	0.599	0.400	0.000
rs73388874 lBF = `13.8676` Chr`11` : `4,697,262`	0.599	0.401	0.000
rs16891156 lBF = `160.905` Chr`6` : `160,608,804`	0.598	0.402	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.598	0.402	0.000
rs10080815 lBF = `180.562` Chr`6` : `160,687,412`	0.598	0.402	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.598	0.402	0.000
rs117114876 lBF = `16.6508` Chr`14` : `73,422,219`	0.597	0.403	0.000
rs117489024 lBF = `12.3853` Chr`7` : `3,906,324`	0.597	0.403	0.000
rs117744154 lBF = `14.3775` Chr`18` : `27,353,198`	0.597	0.403	0.000
rs79476482 lBF = `14.9329` Chr`12` : `76,084,550`	0.596	0.404	0.000
rs117091812 lBF = `12.7428` Chr`9` : `81,272,613`	0.596	0.404	0.000
rs12423747 lBF = `15.1947` Chr`12` : `71,084,299`	0.596	0.404	0.000
rs73593548 lBF = `16.4899` Chr`11` : `102,366,320`	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
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.595	0.405	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.595	0.405	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.595	0.405	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.595	0.405	0.000
rs10971170 lBF = `1.70493` Chr`9` : `32,870,068`	0.595	0.405	0.000
rs78704734 lBF = `1.36317` Chr`4` : `59,797,012`	0.594	0.406	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.594	0.406	0.000
rs79851078 lBF = `5.58339` Chr`17` : `30,005,058`	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
rs74566133 lBF = `21.6776` Chr`8` : `134,778,342`	0.593	0.407	0.000
rs117903119 lBF = `9.06456` Chr`21` : `46,716,223`	0.592	0.407	0.000
rs9984110 lBF = `5.56` Chr`21` : `31,447,366`	0.592	0.408	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.592	0.408	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.591	0.409	0.000
rs117256623 lBF = `13.2359` Chr`10` : `123,454,174`	0.591	0.409	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.591	0.409	0.000
rs12069385 lBF = `5.15863` Chr`1` : `35,779,988`	0.591	0.409	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.591	0.409	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.591	0.409	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.590	0.409	0.000
rs6572843 lBF = `12.7917` Chr`14` : `52,864,237`	0.591	0.409	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.590	0.410	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.590	0.410	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

0.4190

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2975

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0762

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9965

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9950

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9918

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9840

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9816

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9790

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9736

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9714

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9690

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9679

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9672

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9671

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9642

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9637

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9611

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9607

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9604

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9561

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9532

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9504

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.9456

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9455

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9416

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9408

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.9358

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9341

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9330

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9323

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.9314

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9287

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9214

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.9183

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9140

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9114

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9105

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9019

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8796

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8782

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8776

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8723

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8695

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8676

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8653

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.8652

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8556

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8529

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8478

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8398

Cluster X0250

log Bayes Factor = 43.399

contains 4 variants

0.8385

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8314

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8297

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8253

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.8163

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8150

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8121

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.8117

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8065

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7988

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7977

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7897

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7731

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.7708

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7624

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7579

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7523

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7498

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7394

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.7378

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7369

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7361

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7356

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7339

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7332

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7300

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7294

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7152

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7145

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7059

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.6964

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6937

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.6865

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6829

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6725

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6676

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6546

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6492

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6466

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6398

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6396

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6334

Cluster X0287

log Bayes Factor = 33.3095

contains 4 variants

0.6333

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6259

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6161

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5745

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5652

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.5616

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.5565

Cluster X0280

log Bayes Factor = 86.0876

contains 1 variants

0.5467

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5417

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5343

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.5313

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5220

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5180

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5154

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5036

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5020

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.4932

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4746

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4699

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4690

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4474

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4468

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4262

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4165

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4126

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.3928

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.3914

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3753

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.3568

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.3269

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3126

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3101

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3066

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3033

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2706

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.2703

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2600

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.2311

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.2305

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2246

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2134

Cluster X0307

log Bayes Factor = 826.86

contains 2 variants

0.2021

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1983

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1894

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1825

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1745

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1517

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1443

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1271

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1231

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1128

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1068

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.0958

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0943

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0846

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.0610

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`)