TreeWAS – [G93.0] Cerebral cysts

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
rs34131676 lBF = `12.8525` Chr`13` : `37,668,379`	0.924	0.076	0.000
Affx-35617785 lBF = `6.99883` Chr`11` : `30,751,596`	0.909	0.091	0.000
rs345166 lBF = `7.71775` Chr`17` : `58,209,589`	0.903	0.097	0.000
rs115154880 lBF = `8.20092` Chr`5` : `43,883,949`	0.853	0.147	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.849	0.151	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.845	0.155	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.839	0.161	0.000
rs72833065 lBF = `17.7786` Chr`6` : `24,419,556`	0.838	0.162	0.000
rs959878 lBF = `14.1867` Chr`20` : `17,068,415`	0.837	0.163	0.000
rs11719004 lBF = `11.3543` Chr`3` : `100,349`	0.836	0.164	0.000
rs61730505 lBF = `12.6379` Chr`3` : `130,290,007`	0.835	0.165	0.000
rs117242132 lBF = `21.0067` Chr`18` : `45,672,152`	0.832	0.168	0.000
rs12154761 lBF = `7.35872` Chr`7` : `68,274,016`	0.828	0.172	0.000
rs6757751 lBF = `15.3429` Chr`2` : `228,925,597`	0.816	0.184	0.000
rs11179079 lBF = `7.3206` Chr`12` : `72,494,386`	0.808	0.192	0.000
rs2764209 lBF = `4.24881` Chr`6` : `34,697,114`	0.806	0.194	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.804	0.196	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.799	0.201	0.000
rs13319408 lBF = `14.6015` Chr`3` : `143,864,166`	0.797	0.203	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.793	0.207	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.789	0.211	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.788	0.212	0.000
rs74584624 lBF = `18.2621` Chr`5` : `62,106,216`	0.787	0.213	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.784	0.216	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.784	0.216	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.783	0.217	0.000
rs78653070 lBF = `24.647` Chr`13` : `104,713,852`	0.779	0.221	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.779	0.221	0.000
rs4865860 lBF = `6.73256` Chr`5` : `53,979,211`	0.776	0.224	0.000
rs769686 lBF = `14.3706` Chr`4` : `140,849,752`	0.776	0.224	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.774	0.226	0.000
rs79837333 lBF = `19.6803` Chr`5` : `80,512,632`	0.773	0.227	0.000
rs10179686 lBF = `6.26048` Chr`2` : `135,214,570`	0.771	0.229	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.769	0.231	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.767	0.233	0.000
rs73030679 lBF = `10.1305` Chr`3` : `15,937,127`	0.766	0.234	0.000
rs112243387 lBF = `5.91351` Chr`21` : `37,649,206`	0.766	0.234	0.000
rs75169866 lBF = `7.2961` Chr`3` : `15,819,505`	0.766	0.234	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.761	0.239	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.760	0.240	0.000
rs78414518 lBF = `7.79778` Chr`17` : `7,478,402`	0.759	0.241	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.756	0.244	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.752	0.248	0.000
rs115705830 lBF = `15.1446` Chr`1` : `160,790,249`	0.752	0.248	0.000
rs74589926 lBF = `12.1504` Chr`2` : `43,903,262`	0.752	0.248	0.000
rs79369118 lBF = `12.8136` Chr`8` : `89,693,007`	0.750	0.250	0.000
rs79050343 lBF = `8.99835` Chr`11` : `124,087,817`	0.749	0.251	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.745	0.255	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.742	0.258	0.000
rs10279826 lBF = `3.2852` Chr`7` : `51,698,193`	0.741	0.258	0.000
rs77840280 lBF = `11.8941` Chr`13` : `36,279,658`	0.740	0.260	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.740	0.260	0.000
rs116579468 lBF = `9.76462` Chr`5` : `154,782,764`	0.739	0.261	0.000
rs994866 lBF = `11.7785` Chr`20` : `17,152,872`	0.739	0.261	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.739	0.261	0.000
rs73020465 lBF = `10.5688` Chr`3` : `3,967,749`	0.736	0.264	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.735	0.265	0.000
rs77942316 lBF = `2.53949` Chr`8` : `92,359,337`	0.735	0.265	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.734	0.266	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.733	0.267	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.732	0.268	0.000
rs77053667 lBF = `7.61983` Chr`2` : `106,646,550`	0.729	0.271	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.728	0.272	0.000
rs28932179 lBF = `15.8459` Chr`5` : `176,638,506`	0.725	0.275	0.000
rs115673556 lBF = `10.9228` Chr`5` : `101,097,401`	0.723	0.276	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.722	0.278	0.000
rs148909372 lBF = `11.2024` Chr`3` : `15,576,104`	0.722	0.278	0.000
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.721	0.279	0.000
rs9262616 lBF = `62.0608` Chr`6` : `31,022,195`	0.721	0.279	0.000
Affx-36746018 lBF = `11.8469` Chr`4` : `6,126,993`	0.720	0.280	0.000
rs116696741 lBF = `6.5453` Chr`4` : `111,106,359`	0.719	0.281	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.717	0.283	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.717	0.283	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.717	0.283	0.000
rs79584242 lBF = `17.0073` Chr`4` : `86,716,348`	0.715	0.285	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.715	0.285	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.714	0.285	0.000
rs28932177 lBF = `16.599` Chr`5` : `176,637,471`	0.714	0.286	0.000
rs76788986 lBF = `13.2644` Chr`20` : `45,601,893`	0.712	0.288	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.712	0.288	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.712	0.288	0.000
rs112671876 lBF = `6.46431` Chr`2` : `78,908,449`	0.711	0.289	0.000
rs34242703 lBF = `10.2176` Chr`22` : `45,225,346`	0.709	0.291	0.000
rs71435583 lBF = `11.0177` Chr`2` : `20,924,244`	0.708	0.292	0.000
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.708	0.292	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.707	0.293	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.707	0.293	0.000
rs78894544 lBF = `7.29453` Chr`8` : `138,323,083`	0.705	0.295	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.704	0.296	0.000
rs79045038 lBF = `6.0483` Chr`17` : `66,397,041`	0.703	0.297	0.000
rs3132453 lBF = `51.3708` Chr`6` : `31,604,044`	0.703	0.297	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.703	0.297	0.000
rs114592654 lBF = `15.287` Chr`2` : `12,614,388`	0.703	0.297	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.702	0.298	0.000
rs76760096 lBF = `16.3547` Chr`3` : `80,845,720`	0.702	0.298	0.000
rs116996274 lBF = `16.8749` Chr`17` : `72,204,105`	0.702	0.298	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.701	0.299	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.699	0.301	0.000
rs114763188 lBF = `9.2156` Chr`2` : `227,016,204`	0.699	0.301	0.000
rs61005382 lBF = `32.5006` Chr`1` : `113,333,189`	0.699	0.301	0.000
rs9630172 lBF = `5.98415` Chr`11` : `36,480,683`	0.698	0.302	0.000
rs74736071 lBF = `21.8989` Chr`3` : `136,604,687`	0.698	0.302	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.694	0.306	0.000
rs77719114 lBF = `7.9032` Chr`5` : `131,647,677`	0.693	0.306	0.000
rs72649272 lBF = `12.7562` Chr`1` : `29,547,495`	0.693	0.307	0.000
Affx-19135860 lBF = `11.016` Chr`2` : `220,045,902`	0.692	0.308	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.691	0.309	0.000
rs116010824 lBF = `17.7306` Chr`5` : `176,589,021`	0.689	0.311	0.000
rs73176713 lBF = `14.4642` Chr`3` : `174,685,918`	0.688	0.311	0.000
rs9262638 lBF = `61.5938` Chr`6` : `31,025,989`	0.688	0.312	0.000
rs117568221 lBF = `15.295` Chr`11` : `15,501,343`	0.686	0.314	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.686	0.314	0.000
rs113294279 lBF = `8.41477` Chr`19` : `23,089,268`	0.686	0.314	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.685	0.315	0.000
rs76328823 lBF = `13.0322` Chr`5` : `68,061,720`	0.683	0.317	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.683	0.317	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.682	0.318	0.000
rs118113273 lBF = `22.5923` Chr`12` : `128,300,100`	0.682	0.318	0.000
rs803927 lBF = `7.65919` Chr`9` : `119,403,611`	0.681	0.319	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.680	0.320	0.000
rs117179684 lBF = `20.1477` Chr`7` : `12,297,710`	0.680	0.320	0.000
rs2128770 lBF = `5.52515` Chr`2` : `67,453,754`	0.680	0.320	0.000
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.680	0.320	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.680	0.320	0.000
rs11201253 lBF = `20.9492` Chr`10` : `86,588,902`	0.679	0.320	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.679	0.321	0.000
rs191800091 lBF = `14.8331` Chr`14` : `27,245,961`	0.679	0.321	0.000
rs17094900 lBF = `9.37016` Chr`1` : `74,648,408`	0.679	0.321	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.678	0.321	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.678	0.322	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.678	0.322	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.675	0.325	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.675	0.325	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.675	0.325	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.674	0.326	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.674	0.326	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.674	0.326	0.000
rs17442634 lBF = `27.7415` Chr`1` : `36,883,909`	0.673	0.327	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.673	0.327	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.673	0.327	0.000
rs138585571 lBF = `9.02766` Chr`3` : `98,188,580`	0.673	0.327	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.672	0.327	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.672	0.328	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.672	0.328	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.672	0.328	0.000
rs75341787 lBF = `15.3097` Chr`2` : `235,088,991`	0.672	0.328	0.000
rs6929137 lBF = `11.0316` Chr`6` : `151,936,677`	0.672	0.328	0.000
rs116567155 lBF = `9.80102` Chr`2` : `226,816,897`	0.671	0.329	0.000
rs140959648 lBF = `22.6332` Chr`18` : `59,005,176`	0.671	0.329	0.000
rs78605737 lBF = `9.12732` Chr`5` : `73,660,199`	0.670	0.330	0.000
rs4496023 lBF = `22.4402` Chr`14` : `21,303,605`	0.669	0.331	0.000
rs17103138 lBF = `6.23321` Chr`10` : `123,913,330`	0.669	0.331	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.669	0.331	0.000
rs113865542 lBF = `9.26168` Chr`17` : `77,176,256`	0.668	0.332	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.666	0.333	0.000
rs77822622 lBF = `16.7219` Chr`8` : `57,929,662`	0.665	0.335	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.665	0.335	0.000
rs12205572 lBF = `5.88882` Chr`6` : `166,779,464`	0.665	0.335	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.664	0.336	0.000
rs117930276 lBF = `8.79467` Chr`14` : `68,864,686`	0.663	0.337	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.663	0.337	0.000
rs1032485 lBF = `6.4662` Chr`5` : `43,480,252`	0.663	0.337	0.000
rs79916183 lBF = `24.1831` Chr`2` : `235,146,741`	0.662	0.338	0.000
rs117937738 lBF = `12.6854` Chr`11` : `129,503,398`	0.662	0.338	0.000
rs76637462 lBF = `18.0236` Chr`7` : `105,262,173`	0.662	0.338	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.662	0.338	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.662	0.338	0.000
rs117181604 lBF = `12.3739` Chr`13` : `21,797,762`	0.661	0.338	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.661	0.339	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.660	0.339	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.660	0.340	0.000
rs34934130 lBF = `11.9795` Chr`12` : `121,502,913`	0.660	0.340	0.000
rs117220821 lBF = `20.7939` Chr`19` : `40,402,976`	0.659	0.341	0.000
rs10020951 lBF = `12.5867` Chr`4` : `28,372,837`	0.658	0.342	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.658	0.342	0.000
rs56696153 lBF = `12.2898` Chr`10` : `114,987,119`	0.658	0.342	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.658	0.342	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.658	0.342	0.000
rs8753 lBF = `31.436` Chr`17` : `7,417,640`	0.657	0.343	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.657	0.343	0.000
rs75601073 lBF = `12.1788` Chr`2` : `59,364,237`	0.657	0.343	0.000
rs67312763 lBF = `7.19039` Chr`20` : `52,070,266`	0.657	0.343	0.000
rs61749279 lBF = `14.7999` Chr`1` : `16,531,263`	0.657	0.343	0.000
rs78378222 lBF = `67.1003` Chr`17` : `7,571,752`	0.656	0.344	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.655	0.345	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.655	0.345	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.654	0.346	0.000
rs6926578 lBF = `6.33705` Chr`6` : `142,074,024`	0.654	0.346	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.654	0.346	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.653	0.347	0.000
rs112768362 lBF = `13.2418` Chr`19` : `1,339,429`	0.653	0.347	0.000
rs75041773 lBF = `26.8541` Chr`11` : `75,443,629`	0.653	0.347	0.000
rs6679342 lBF = `13.0009` Chr`1` : `81,656,935`	0.652	0.348	0.000
rs117155878 lBF = `14.6868` Chr`11` : `13,331,323`	0.651	0.349	0.000
rs80349490 lBF = `12.4872` Chr`6` : `21,615,188`	0.651	0.349	0.000
rs80289820 lBF = `14.63` Chr`13` : `36,476,290`	0.651	0.349	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.651	0.349	0.000
rs9656829 lBF = `8.16676` Chr`8` : `93,602,448`	0.651	0.349	0.000
rs45559032 lBF = `16.8014` Chr`10` : `12,541,457`	0.651	0.349	0.000
rs2394423 lBF = `62.0314` Chr`6` : `31,032,042`	0.649	0.351	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.649	0.351	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.649	0.351	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.648	0.352	0.000
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rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.592	0.408	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.592	0.408	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.592	0.408	0.000
rs17158483 lBF = `1.661` Chr`7` : `29,962,524`	0.592	0.408	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.592	0.408	0.000
rs74276156 lBF = `14.6764` Chr`21` : `37,842,165`	0.592	0.408	0.000
rs116990435 lBF = `16.0291` Chr`21` : `42,048,274`	0.591	0.409	0.000
rs2927021 lBF = `7.556` Chr`8` : `120,363,974`	0.591	0.409	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.591	0.409	0.000
rs77711036 lBF = `6.2686` Chr`3` : `187,321,533`	0.591	0.409	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.591	0.409	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.591	0.409	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.590	0.410	0.000
rs138436261 lBF = `5.43269` Chr`4` : `25,332,404`	0.590	0.410	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.590	0.410	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.590	0.410	0.000
rs150488832 lBF = `17.2688` Chr`8` : `36,201,248`	0.590	0.410	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.589	0.410	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.589	0.410	0.000
rs4692031 lBF = `17.391` Chr`4` : `27,474,317`	0.589	0.411	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.588	0.412	0.000
rs17665650 lBF = `14.1219` Chr`2` : `194,297,468`	0.588	0.412	0.000
rs111559044 lBF = `14.5338` Chr`11` : `108,254,454`	0.588	0.412	0.000
rs11721654 lBF = `9.8561` Chr`4` : `41,203,091`	0.588	0.412	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.588	0.412	0.000
rs2304877 lBF = `8.23168` Chr`8` : `41,566,438`	0.588	0.412	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.588	0.412	0.000
rs2856656 lBF = `26.2331` Chr`11` : `47,373,425`	0.587	0.413	0.000
rs4959090 lBF = `19.7569` Chr`6` : `32,219,962`	0.000	0.413	0.587
rs115515529 lBF = `15.5561` Chr`1` : `64,169,850`	0.586	0.413	0.000
rs75258359 lBF = `8.02415` Chr`14` : `69,600,635`	0.587	0.413	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.586	0.414	0.000
rs114719950 lBF = `12.6702` Chr`2` : `219,356,131`	0.586	0.414	0.000
rs36055487 lBF = `21.1592` Chr`6` : `31,327,481`	0.586	0.414	0.000
rs77572683 lBF = `7.85519` Chr`12` : `114,261,767`	0.586	0.414	0.000
rs80125857 lBF = `26.9524` Chr`2` : `175,108,663`	0.586	0.414	0.000
rs55722931 lBF = `16.5782` Chr`14` : `23,586,795`	0.586	0.414	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.586	0.414	0.000
rs76951664 lBF = `8.83186` Chr`11` : `30,984,820`	0.586	0.414	0.000
rs2229593 lBF = `12.4833` Chr`3` : `42,906,216`	0.585	0.415	0.000
rs117270429 lBF = `18.3316` Chr`21` : `38,124,803`	0.585	0.415	0.000
rs10254160 lBF = `3.78017` Chr`7` : `111,967,290`	0.585	0.415	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.585	0.415	0.000
rs80249880 lBF = `15.9037` Chr`2` : `149,827,104`	0.584	0.416	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.583	0.417	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.583	0.417	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.583	0.417	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.583	0.417	0.000
rs17075816 lBF = `11.6996` Chr`6` : `114,376,866`	0.583	0.417	0.000
rs79635241 lBF = `13.4282` Chr`2` : `32,209,991`	0.583	0.417	0.000
rs11743835 lBF = `13.1859` Chr`5` : `111,979,658`	0.583	0.417	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.582	0.418	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.582	0.418	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.582	0.418	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.581	0.418	0.000
rs1883711 lBF = `21.9974` Chr`20` : `39,179,822`	0.581	0.419	0.000
rs17043035 lBF = `7.78256` Chr`4` : `112,198,777`	0.581	0.419	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.581	0.419	0.000
rs76365676 lBF = `12.2448` Chr`4` : `3,387,221`	0.580	0.419	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.580	0.420	0.000
rs74595671 lBF = `6.95219` Chr`2` : `159,403,054`	0.580	0.420	0.000
rs12198288 lBF = `21.6276` Chr`6` : `31,321,638`	0.580	0.420	0.000
rs919096 lBF = `16.1252` Chr`3` : `41,209,869`	0.580	0.420	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.580	0.420	0.000
rs80002115 lBF = `18.6774` Chr`13` : `93,812,032`	0.579	0.421	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.579	0.421	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.579	0.421	0.000
rs28534493 lBF = `20.6371` Chr`4` : `61,037,655`	0.578	0.421	0.000
rs112217762 lBF = `12.3992` Chr`14` : `91,635,649`	0.578	0.421	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.578	0.421	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.578	0.422	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.578	0.422	0.000
rs117814185 lBF = `13.8032` Chr`7` : `130,532,260`	0.578	0.422	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.578	0.422	0.000
rs78857545 lBF = `9.68973` Chr`3` : `150,863,573`	0.577	0.422	0.000
rs111772174 lBF = `12.5098` Chr`19` : `2,685,808`	0.577	0.422	0.000
rs2736173 lBF = `32.7132` Chr`6` : `31,589,735`	0.577	0.422	0.000
rs78715503 lBF = `20.8204` Chr`4` : `184,991,291`	0.577	0.423	0.000
rs17432871 lBF = `6.59959` Chr`12` : `121,542,128`	0.577	0.423	0.000
rs115821935 lBF = `19.277` Chr`7` : `90,738,831`	0.577	0.423	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.577	0.423	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.577	0.423	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.576	0.423	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.576	0.423	0.000
rs62435563 lBF = `16.2327` Chr`6` : `156,589,160`	0.576	0.424	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.576	0.424	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.576	0.424	0.000
rs78529194 lBF = `18.9178` Chr`11` : `17,758,586`	0.576	0.424	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.575	0.425	0.000
Affx-28453166 lBF = `21.4257` Chr`6` : `31,327,415`	0.575	0.425	0.000
rs910951 lBF = `17.1464` Chr`20` : `4,196,704`	0.575	0.425	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.575	0.425	0.000
rs75015210 lBF = `12.5833` Chr`5` : `26,377,810`	0.574	0.426	0.000
rs117896735 lBF = `4.9149` Chr`10` : `121,536,327`	0.574	0.426	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.574	0.426	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

0.4235

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1071

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9946

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.9900

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9879

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9864

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9811

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9800

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9793

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9724

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9723

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9711

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9702

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9697

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9694

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9684

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9682

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9665

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9603

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9549

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9538

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9509

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.9504

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9481

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9475

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9472

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9458

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9457

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9442

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.9439

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9402

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.9399

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9389

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9330

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9180

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9175

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.9174

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.9173

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9143

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9142

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9129

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9122

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.9117

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9048

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8889

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8879

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8879

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.8850

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8845

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8832

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.8831

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8800

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8794

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8774

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8757

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8745

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.8733

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8717

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8660

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8599

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8566

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.8553

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8545

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8504

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.8442

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.8407

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8373

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8360

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.8315

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.8296

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.8288

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8285

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.8214

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8199

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8125

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8105

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8103

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8098

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8070

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8031

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7999

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.7988

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7946

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.7939

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.7937

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7902

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7886

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7881

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.7818

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7790

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7785

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.7768

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7768

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.7700

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7693

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.7685

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7666

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7654

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7628

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7566

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.7558

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7553

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7536

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7435

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7432

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7431

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7358

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7322

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.7279

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7246

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7223

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.7194

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7109

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7093

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7075

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7034

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 X0143

log Bayes Factor = 179.808

contains 8 variants

0.6992

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.6954

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.6930

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6906

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6885

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6846

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.6730

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6696

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6642

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.6624

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6605

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.6589

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6387

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.6348

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6250

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6211

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6175

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.6103

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6081

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6074

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5951

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5879

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.5791

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.5729

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5694

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5603

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5569

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5476

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5464

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5409

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.5249

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.5223

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5006

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4912

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.4908

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.4835

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4528

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4505

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4458

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4458

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4213

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.4058

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.3998

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3976

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3772

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3528

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.3300

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3166

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.3050

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2840

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.2439

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2430

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.2259

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2159

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2089

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1915

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.1887

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1687

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1354

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1221

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1167

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1143

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.0818

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.0718

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0665

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0636

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`)