TreeWAS – [G93.6] Cerebral oedema

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
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.902	0.098	0.000
rs12185044 lBF = `5.81853` Chr`14` : `37,172,516`	0.900	0.100	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.872	0.128	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.861	0.139	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.853	0.147	0.000
rs11190812 lBF = `16.1442` Chr`10` : `102,824,292`	0.853	0.147	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.849	0.151	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.846	0.154	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.833	0.167	0.000
rs68108873 lBF = `8.01808` Chr`2` : `170,121,734`	0.829	0.171	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.824	0.176	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.824	0.176	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.823	0.177	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.820	0.180	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.819	0.181	0.000
rs79663105 lBF = `7.3296` Chr`13` : `115,004,203`	0.817	0.183	0.000
rs17176768 lBF = `11.8039` Chr`14` : `37,151,905`	0.815	0.185	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.812	0.188	0.000
rs17722134 lBF = `13.8489` Chr`12` : `72,401,694`	0.810	0.190	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.803	0.197	0.000
rs7146393 lBF = `7.92483` Chr`14` : `32,787,754`	0.802	0.198	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.802	0.198	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.801	0.199	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.800	0.200	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.796	0.204	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.793	0.207	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.793	0.207	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.788	0.212	0.000
rs75730783 lBF = `6.34573` Chr`1` : `158,404,601`	0.787	0.213	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.786	0.214	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.786	0.214	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.781	0.219	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.779	0.221	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.776	0.224	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.775	0.225	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.772	0.228	0.000
rs869708 lBF = `14.092` Chr`21` : `46,434,954`	0.771	0.229	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.771	0.229	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.769	0.231	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.769	0.231	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.768	0.232	0.000
rs9813389 lBF = `7.33298` Chr`3` : `131,837,290`	0.766	0.234	0.000
rs80166972 lBF = `9.23193` Chr`4` : `172,193,847`	0.765	0.235	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.764	0.236	0.000
rs74471121 lBF = `15.6908` Chr`17` : `6,108,771`	0.763	0.237	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.762	0.237	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.761	0.238	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.761	0.239	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.759	0.241	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.758	0.242	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.758	0.242	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.758	0.242	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.757	0.243	0.000
rs17104944 lBF = `5.05105` Chr`14` : `37,143,742`	0.757	0.243	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.754	0.246	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.753	0.247	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.751	0.248	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.751	0.249	0.000
rs62471875 lBF = `16.6264` Chr`7` : `154,778,171`	0.750	0.250	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.749	0.251	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.748	0.252	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.747	0.253	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.747	0.253	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.746	0.254	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.745	0.255	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.745	0.255	0.000
rs73335365 lBF = `15.72` Chr`17` : `6,140,995`	0.741	0.259	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.740	0.260	0.000
rs117464630 lBF = `8.83519` Chr`10` : `81,006,391`	0.739	0.261	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.738	0.262	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.738	0.262	0.000
rs17231595 lBF = `11.4264` Chr`10` : `68,724,763`	0.734	0.266	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.734	0.266	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.734	0.266	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.733	0.267	0.000
rs115729723 lBF = `16.3076` Chr`1` : `34,410,093`	0.733	0.267	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.732	0.268	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.732	0.268	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.730	0.270	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.730	0.270	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.727	0.273	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.727	0.273	0.000
rs11784849 lBF = `14.957` Chr`8` : `75,144,736`	0.726	0.274	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.724	0.276	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.723	0.277	0.000
rs1081575 lBF = `12.1523` Chr`3` : `101,624,854`	0.721	0.279	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.721	0.279	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.721	0.279	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.721	0.279	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.719	0.280	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.719	0.281	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.719	0.281	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.719	0.281	0.000
rs35060747 lBF = `18.5543` Chr`5` : `117,671,831`	0.718	0.282	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.715	0.285	0.000
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.715	0.285	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.715	0.285	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.715	0.285	0.000
rs11575852 lBF = `32.8864` Chr`6` : `31,647,001`	0.714	0.286	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.712	0.287	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.711	0.288	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.711	0.289	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.711	0.289	0.000
rs117366179 lBF = `16.6572` Chr`8` : `14,733,658`	0.710	0.290	0.000
rs117577142 lBF = `13.9718` Chr`6` : `121,711,840`	0.710	0.290	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.709	0.291	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.709	0.291	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.708	0.292	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.708	0.292	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.707	0.293	0.000
rs17372597 lBF = `15.796` Chr`8` : `125,595,153`	0.705	0.295	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.704	0.296	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.704	0.296	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.703	0.296	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.703	0.297	0.000
rs62180472 lBF = `11.2108` Chr`2` : `222,690,063`	0.701	0.299	0.000
rs3132453 lBF = `51.3708` Chr`6` : `31,604,044`	0.701	0.299	0.000
rs114919178 lBF = `30.8375` Chr`6` : `31,613,571`	0.700	0.300	0.000
rs3130062 lBF = `44.0229` Chr`6` : `31,525,912`	0.700	0.300	0.000
rs3806155 lBF = `108.695` Chr`6` : `32,373,378`	0.700	0.300	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.699	0.300	0.000
rs78900159 lBF = `3.80195` Chr`7` : `76,968,378`	0.699	0.300	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.699	0.301	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.699	0.301	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.698	0.302	0.000
rs17323670 lBF = `4.11936` Chr`5` : `112,580,290`	0.698	0.302	0.000
rs35947721 lBF = `6.64707` Chr`1` : `184,134,131`	0.697	0.303	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.696	0.304	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.696	0.304	0.000
rs7159950 lBF = `5.65025` Chr`14` : `57,180,779`	0.696	0.304	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.695	0.305	0.000
rs187650835 lBF = `2.76435` Chr`2` : `149,086,644`	0.694	0.305	0.000
rs61913987 lBF = `14.099` Chr`11` : `130,522,894`	0.694	0.306	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.693	0.307	0.000
rs11035356 lBF = `8.71652` Chr`11` : `39,619,680`	0.691	0.309	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.691	0.309	0.000
rs28359571 lBF = `29.6077` Chr`1` : `230,881,876`	0.690	0.310	0.000
rs75165674 lBF = `14.8239` Chr`6` : `44,885,624`	0.689	0.311	0.000
rs75440732 lBF = `14.7759` Chr`5` : `170,932,931`	0.688	0.312	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.687	0.313	0.000
rs2111471 lBF = `14.438` Chr`2` : `56,559,672`	0.686	0.314	0.000
rs6503695 lBF = `1.66521` Chr`17` : `40,499,533`	0.686	0.314	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.685	0.314	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.685	0.315	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.685	0.315	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.685	0.315	0.000
rs150021639 lBF = `15.8327` Chr`3` : `49,689,642`	0.684	0.316	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.684	0.316	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.684	0.316	0.000
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.684	0.316	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.683	0.317	0.000
rs117557765 lBF = `20.262` Chr`7` : `6,974,872`	0.682	0.318	0.000
rs117251056 lBF = `29.3181` Chr`11` : `129,056,639`	0.681	0.319	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.681	0.319	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.680	0.320	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.680	0.320	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.680	0.320	0.000
rs76848853 lBF = `15.2835` Chr`3` : `12,486,981`	0.679	0.320	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.679	0.321	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.679	0.321	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.679	0.321	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.678	0.322	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.678	0.322	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.678	0.322	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.677	0.323	0.000
rs76174256 lBF = `5.31188` Chr`3` : `156,862,898`	0.677	0.323	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.676	0.324	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.676	0.324	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.676	0.324	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.675	0.325	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.674	0.326	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.674	0.326	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.673	0.327	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.673	0.327	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.673	0.327	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.673	0.327	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.672	0.328	0.000
rs73093398 lBF = `10.983` Chr`7` : `34,157,212`	0.672	0.328	0.000
rs117504245 lBF = `13.128` Chr`18` : `32,214,484`	0.672	0.328	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.671	0.329	0.000
rs17207370 lBF = `31.3786` Chr`6` : `31,678,691`	0.671	0.329	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.668	0.332	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.668	0.332	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.668	0.332	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.668	0.332	0.000
rs180515 lBF = `0.809847` Chr`17` : `58,024,275`	0.668	0.332	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.668	0.332	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.667	0.333	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.667	0.333	0.000
rs77453333 lBF = `13.3291` Chr`8` : `8,514,483`	0.667	0.333	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.666	0.334	0.000
rs76444916 lBF = `7.67221` Chr`4` : `179,708,829`	0.665	0.335	0.000
rs73114499 lBF = `8.70598` Chr`7` : `38,967,240`	0.664	0.336	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.664	0.336	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.663	0.337	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.663	0.337	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.662	0.338	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.661	0.339	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.660	0.340	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.660	0.340	0.000
rs114956974 lBF = `12.0284` Chr`5` : `148,017,789`	0.660	0.340	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.660	0.340	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.659	0.341	0.000
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rs115759551 lBF = `12.7074` Chr`1` : `156,963,356`	0.596	0.404	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.595	0.405	0.000
rs803400 lBF = `17.6255` Chr`6` : `151,161,825`	0.595	0.405	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.595	0.405	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.595	0.405	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.595	0.405	0.000
rs3094124 lBF = `32.2571` Chr`6` : `30,711,805`	0.595	0.405	0.000
rs75903686 lBF = `17.2493` Chr`18` : `31,898,334`	0.595	0.405	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.595	0.405	0.000
rs79349737 lBF = `15.1686` Chr`3` : `190,888,250`	0.594	0.406	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.594	0.406	0.000
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.594	0.406	0.000
rs79948109 lBF = `15.0854` Chr`5` : `43,075,830`	0.593	0.407	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.593	0.407	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.593	0.407	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.593	0.407	0.000
rs112742247 lBF = `13.3959` Chr`12` : `85,030,619`	0.592	0.408	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.592	0.408	0.000
rs11609031 lBF = `16.3836` Chr`12` : `99,307,725`	0.592	0.408	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.592	0.408	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.592	0.408	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.592	0.408	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.592	0.408	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.591	0.409	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.591	0.409	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.591	0.409	0.000
rs78417298 lBF = `19.5275` Chr`3` : `52,723,309`	0.591	0.409	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.591	0.409	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.591	0.409	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.590	0.410	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.590	0.410	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.590	0.410	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.589	0.411	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.589	0.411	0.000
rs3094738 lBF = `40.0205` Chr`6` : `31,407,913`	0.589	0.411	0.000
rs117792957 lBF = `22.6256` Chr`7` : `71,899,700`	0.589	0.411	0.000
rs79785533 lBF = `23.1214` Chr`4` : `108,611,504`	0.589	0.411	0.000
rs1117139 lBF = `19.2993` Chr`4` : `160,589,307`	0.588	0.411	0.000
rs3806175 lBF = `11.6012` Chr`1` : `87,793,730`	0.588	0.412	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.588	0.412	0.000
rs56319538 lBF = `14.9989` Chr`3` : `78,406,226`	0.588	0.412	0.000
rs12896812 lBF = `15.8059` Chr`14` : `104,324,496`	0.588	0.412	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.588	0.412	0.000
rs117470014 lBF = `18.6761` Chr`12` : `74,652,195`	0.588	0.412	0.000
rs77089900 lBF = `13.7025` Chr`14` : `103,286,208`	0.588	0.412	0.000
rs74565952 lBF = `16.1651` Chr`12` : `71,112,797`	0.588	0.412	0.000
rs17752346 lBF = `20.272` Chr`6` : `56,769,420`	0.588	0.412	0.000
rs28645223 lBF = `11.5532` Chr`18` : `75,587,548`	0.587	0.413	0.000
rs72786098 lBF = `5.52274` Chr`10` : `18,729,855`	0.587	0.413	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.587	0.413	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.587	0.413	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.586	0.414	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.586	0.414	0.000
rs12986171 lBF = `19.4786` Chr`19` : `10,773,564`	0.586	0.414	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.585	0.415	0.000
rs116710163 lBF = `13.0503` Chr`5` : `147,422,443`	0.585	0.415	0.000
rs170429 lBF = `12.1591` Chr`5` : `41,294,802`	0.585	0.415	0.000
rs17698922 lBF = `5.59711` Chr`17` : `64,504,409`	0.585	0.415	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.584	0.416	0.000
rs118052578 lBF = `12.7181` Chr`11` : `42,467,826`	0.584	0.416	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.584	0.416	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.584	0.416	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.584	0.416	0.000
rs117303215 lBF = `9.21583` Chr`12` : `129,627,812`	0.584	0.416	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.584	0.416	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.583	0.416	0.000
rs56269309 lBF = `12.8645` Chr`12` : `127,453,025`	0.583	0.417	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.583	0.417	0.000
rs13096761 lBF = `38.987` Chr`3` : `82,108,417`	0.583	0.417	0.000
rs117352425 lBF = `15.9738` Chr`10` : `5,115,032`	0.583	0.417	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.583	0.417	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.582	0.417	0.000
rs10232743 lBF = `7.28409` Chr`7` : `43,910,882`	0.582	0.418	0.000
rs7001413 lBF = `5.40312` Chr`8` : `75,010,233`	0.582	0.418	0.000
rs969088 lBF = `5.66242` Chr`5` : `26,389,262`	0.582	0.418	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.582	0.418	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.582	0.418	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.581	0.419	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.581	0.419	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.581	0.419	0.000
rs117050257 lBF = `8.34736` Chr`11` : `28,231,197`	0.581	0.419	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.580	0.420	0.000
rs72682867 lBF = `12.385` Chr`4` : `120,743,502`	0.580	0.420	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.580	0.420	0.000
rs1264539 lBF = `24.7934` Chr`6` : `30,388,701`	0.580	0.420	0.000
rs80201289 lBF = `8.47932` Chr`7` : `150,957,474`	0.579	0.421	0.000
rs2040992 lBF = `18.5499` Chr`7` : `99,262,572`	0.579	0.421	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.578	0.421	0.000
rs2233952 lBF = `30.0165` Chr`6` : `31,105,891`	0.578	0.421	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.578	0.422	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.578	0.422	0.000
rs9262638 lBF = `61.5938` Chr`6` : `31,025,989`	0.578	0.422	0.000
rs61248406 lBF = `13.462` Chr`1` : `60,579,337`	0.578	0.422	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.578	0.422	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.578	0.422	0.000
rs144050167 lBF = `15.4395` Chr`11` : `126,945,580`	0.577	0.423	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

0.3673

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.0664

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9984

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9962

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9956

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9892

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9861

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9800

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9782

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9777

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9749

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9700

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9689

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9688

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9684

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9642

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9610

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9599

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9591

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9554

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9551

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9523

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9395

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9364

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9358

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.9344

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9341

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9336

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.9267

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9256

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9249

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9212

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9204

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9195

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9176

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9176

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9174

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.9132

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9064

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9046

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9043

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9027

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8984

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8978

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8943

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8941

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8938

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8919

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.8900

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8891

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8883

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.8860

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8811

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8807

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8749

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8710

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8688

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.8683

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8667

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8666

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.8654

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8641

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.8626

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.8586

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8569

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8509

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8461

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.8444

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8396

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.8343

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8342

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8325

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8247

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.7999

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.7928

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.7894

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7889

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7876

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7875

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7821

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.7788

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7752

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7717

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7696

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.7683

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7676

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7636

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7629

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7627

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7613

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7544

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7540

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7458

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7448

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7444

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7418

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7387

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.7365

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7353

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7342

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7295

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7278

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.7266

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7243

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.7237

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.7232

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7179

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7140

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7135

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7131

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7091

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7027

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7024

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7019

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7003

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6968

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6942

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6923

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6896

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6894

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.6864

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6862

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6757

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6752

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6748

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6648

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6589

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6561

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6543

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6487

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6481

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6384

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6295

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6119

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.6080

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6061

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6053

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.5892

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.5883

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5816

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.5649

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5576

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.5491

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5462

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5250

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.5225

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5144

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.5114

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5071

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.4991

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4935

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4715

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4505

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4105

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3978

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.3887

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3829

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3776

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3181

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2973

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.2918

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.2832

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2741

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.2719

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2251

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1967

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1936

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1912

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1754

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1604

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1487

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1427

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1397

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.1337

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1297

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.1221

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1187

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1136

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.0944

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0921

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.0718

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.0629

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0613

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0592

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0560

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0545

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`)