TreeWAS – [R25.8] Other and unspecified abnormal involuntary movements

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
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.905	0.095	0.000
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.864	0.136	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.861	0.139	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.855	0.145	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.843	0.157	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.818	0.182	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.815	0.185	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.807	0.193	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.791	0.209	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.787	0.213	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.781	0.219	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.779	0.221	0.000
rs76069769 lBF = `20.8608` Chr`2` : `114,598,449`	0.766	0.234	0.000
rs116458312 lBF = `13.1491` Chr`5` : `147,976,829`	0.761	0.239	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.761	0.239	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.754	0.246	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.754	0.246	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.747	0.253	0.000
rs114733011 lBF = `42.2929` Chr`6` : `31,631,531`	0.735	0.265	0.000
rs72850953 lBF = `8.10331` Chr`11` : `1,771,871`	0.735	0.265	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.731	0.268	0.000
rs73090324 lBF = `13.0903` Chr`7` : `29,683,765`	0.731	0.269	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.727	0.273	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.724	0.276	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.723	0.277	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.722	0.278	0.000
rs72684702 lBF = `11.0209` Chr`14` : `46,683,669`	0.720	0.280	0.000
rs35909033 lBF = `11.5759` Chr`4` : `138,533,901`	0.719	0.281	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.719	0.281	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.718	0.282	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.717	0.283	0.000
rs7650851 lBF = `15.9621` Chr`3` : `69,152,546`	0.716	0.284	0.000
rs72655627 lBF = `15.4721` Chr`8` : `55,287,974`	0.714	0.286	0.000
rs116537337 lBF = `25.6519` Chr`6` : `28,339,478`	0.710	0.290	0.000
rs116424300 lBF = `20.3133` Chr`8` : `143,412,988`	0.708	0.292	0.000
rs62620225 lBF = `21.196` Chr`6` : `28,117,331`	0.708	0.292	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.707	0.293	0.000
rs114218990 lBF = `11.7934` Chr`1` : `48,501,029`	0.705	0.295	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.704	0.296	0.000
rs34145779 lBF = `7.00229` Chr`13` : `89,636,306`	0.704	0.296	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.703	0.297	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.700	0.300	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.695	0.304	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.694	0.306	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.693	0.307	0.000
rs77367389 lBF = `15.2981` Chr`2` : `37,492,823`	0.692	0.308	0.000
rs56057304 lBF = `23.4116` Chr`6` : `28,207,991`	0.691	0.309	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.690	0.310	0.000
rs34734558 lBF = `8.30255` Chr`4` : `100,530,143`	0.686	0.314	0.000
rs71617099 lBF = `17.4399` Chr`4` : `180,918,453`	0.684	0.316	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.683	0.317	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.682	0.318	0.000
rs259464 lBF = `12.2399` Chr`1` : `218,749,231`	0.681	0.318	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.681	0.319	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.680	0.320	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.679	0.321	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.677	0.322	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.677	0.323	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.674	0.326	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.674	0.326	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.674	0.326	0.000
rs118112796 lBF = `23.7546` Chr`18` : `76,442,139`	0.673	0.326	0.000
rs76731769 lBF = `14.8647` Chr`17` : `35,063,138`	0.672	0.327	0.000
rs116701331 lBF = `14.5351` Chr`2` : `195,567,306`	0.671	0.328	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.671	0.329	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.670	0.330	0.000
rs111797345 lBF = `22.7323` Chr`3` : `69,168,628`	0.670	0.330	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.669	0.331	0.000
rs76770395 lBF = `36.5601` Chr`5` : `169,499,663`	0.667	0.333	0.000
rs35010022 lBF = `11.7386` Chr`22` : `41,045,892`	0.663	0.337	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.663	0.337	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.662	0.338	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.661	0.339	0.000
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.660	0.340	0.000
rs295130 lBF = `24.0264` Chr`2` : `201,229,984`	0.658	0.341	0.000
rs115717162 lBF = `14.5807` Chr`5` : `40,088,101`	0.655	0.344	0.000
rs16892807 lBF = `11.3319` Chr`8` : `120,590,177`	0.655	0.344	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.654	0.346	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.651	0.349	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.651	0.349	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.650	0.350	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.650	0.350	0.000
rs285600 lBF = `19.9811` Chr`5` : `73,331,784`	0.650	0.350	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.650	0.350	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.649	0.351	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.649	0.351	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.648	0.352	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.647	0.353	0.000
rs34974961 lBF = `19.694` Chr`3` : `53,853,009`	0.647	0.353	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.644	0.356	0.000
rs75886551 lBF = `12.6201` Chr`6` : `51,028,172`	0.643	0.357	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.643	0.357	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.640	0.360	0.000
rs34783620 lBF = `20.3769` Chr`4` : `81,191,853`	0.639	0.361	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.638	0.362	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.637	0.363	0.000
rs116932083 lBF = `29.7503` Chr`13` : `32,983,087`	0.637	0.363	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.637	0.363	0.000
rs113512172 lBF = `16.4938` Chr`21` : `32,718,685`	0.637	0.363	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.635	0.365	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.634	0.366	0.000
rs75714869 lBF = `16.8432` Chr`19` : `34,236,415`	0.631	0.369	0.000
rs74874610 lBF = `23.0444` Chr`6` : `28,456,845`	0.631	0.369	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.630	0.370	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.630	0.370	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.629	0.371	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.628	0.372	0.000
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.628	0.372	0.000
rs6798318 lBF = `15.5218` Chr`3` : `81,391,273`	0.627	0.373	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.627	0.373	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.626	0.374	0.000
rs79513130 lBF = `13.4213` Chr`10` : `134,984,485`	0.626	0.374	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.624	0.376	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.622	0.378	0.000
rs77928709 lBF = `21.6023` Chr`11` : `125,060,399`	0.622	0.378	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.621	0.379	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.621	0.379	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.620	0.380	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.619	0.381	0.000
rs116094500 lBF = `19.4328` Chr`3` : `136,004,961`	0.619	0.381	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.618	0.382	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.617	0.383	0.000
rs76677480 lBF = `13.266` Chr`4` : `7,095,114`	0.616	0.384	0.000
rs55897192 lBF = `17.5837` Chr`6` : `112,420,515`	0.616	0.384	0.000
rs116352995 lBF = `14.9627` Chr`14` : `49,355,219`	0.615	0.385	0.000
rs12154208 lBF = `12.2952` Chr`6` : `156,713,891`	0.614	0.386	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.614	0.386	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.614	0.386	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.614	0.386	0.000
rs6966264 lBF = `5.82465` Chr`7` : `87,543,037`	0.613	0.387	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.612	0.388	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.611	0.388	0.000
rs73918213 lBF = `16.0519` Chr`19` : `897,171`	0.610	0.390	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.609	0.391	0.000
rs61976746 lBF = `16.9365` Chr`14` : `31,240,107`	0.609	0.391	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.609	0.391	0.000
rs114450459 lBF = `11.8595` Chr`5` : `26,184,833`	0.609	0.391	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.608	0.392	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.608	0.392	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.607	0.393	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.607	0.393	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.606	0.394	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.606	0.394	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.606	0.394	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.604	0.396	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.604	0.396	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.603	0.397	0.000
rs114864186 lBF = `25.7885` Chr`1` : `211,944,094`	0.602	0.398	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.602	0.398	0.000
rs7939393 lBF = `12.0874` Chr`11` : `42,306,765`	0.601	0.398	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.601	0.399	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.601	0.399	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.601	0.399	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.600	0.399	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.600	0.400	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.600	0.400	0.000
rs115881343 lBF = `21.7731` Chr`19` : `45,403,216`	0.600	0.400	0.000
rs116276575 lBF = `22.9417` Chr`1` : `59,207,425`	0.599	0.401	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.598	0.402	0.000
rs143813799 lBF = `18.0084` Chr`17` : `60,023,795`	0.597	0.403	0.000
rs76959518 lBF = `25.0916` Chr`1` : `159,853,160`	0.597	0.403	0.000
rs115079764 lBF = `11.3458` Chr`4` : `9,684,785`	0.596	0.403	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.596	0.404	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.596	0.404	0.000
rs34803930 lBF = `21.1404` Chr`14` : `62,581,386`	0.595	0.405	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.594	0.406	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.594	0.406	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.594	0.406	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.594	0.406	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.593	0.406	0.000
rs115551283 lBF = `12.231` Chr`4` : `115,639,557`	0.593	0.406	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.593	0.407	0.000
rs3969860 lBF = `18.4227` Chr`19` : `11,447,886`	0.592	0.408	0.000
rs116321647 lBF = `15.1503` Chr`2` : `23,557,572`	0.590	0.410	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.589	0.411	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.588	0.412	0.000
rs1801177 lBF = `13.37` Chr`8` : `19,805,708`	0.587	0.413	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.586	0.413	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.584	0.416	0.000
rs149291579 lBF = `9.43145` Chr`1` : `79,240,882`	0.584	0.416	0.000
rs115225351 lBF = `34.2094` Chr`4` : `110,732,386`	0.583	0.417	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.582	0.418	0.000
rs36071623 lBF = `9.38139` Chr`13` : `88,970,555`	0.582	0.418	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.582	0.418	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.581	0.418	0.000
rs8102150 lBF = `1.24544` Chr`19` : `50,230,327`	0.581	0.419	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.581	0.419	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.581	0.419	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.579	0.421	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.579	0.421	0.000
rs77356619 lBF = `8.15839` Chr`18` : `24,027,419`	0.579	0.421	0.000
rs73912949 lBF = `2.01417` Chr`2` : `9,291,234`	0.578	0.421	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.578	0.422	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.578	0.422	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.578	0.422	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.577	0.423	0.000
rs118182320 lBF = `24.3873` Chr`8` : `80,951,882`	0.577	0.423	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.577	0.423	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.575	0.425	0.000
rs114751021 lBF = `44.8039` Chr`6` : `31,504,194`	0.575	0.425	0.000
rs116600709 lBF = `13.3425` Chr`2` : `111,736,824`	0.575	0.425	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.575	0.425	0.000
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rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.546	0.453	0.000
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rs74093732 lBF = `16.835` Chr`1` : `75,278,726`	0.518	0.482	0.000
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rs113542870 lBF = `14.9563` Chr`2` : `115,489,878`	0.508	0.492	0.000
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rs77173849 lBF = `16.2623` Chr`8` : `47,021,723`	0.508	0.492	0.000
rs117287788 lBF = `11.4839` Chr`14` : `37,059,846`	0.507	0.492	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.507	0.493	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.507	0.493	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.507	0.493	0.000
rs117940740 lBF = `11.288` Chr`6` : `118,825,260`	0.507	0.493	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.506	0.494	0.000
rs75210356 lBF = `22.7478` Chr`2` : `113,516,176`	0.506	0.494	0.000
rs72668648 lBF = `13.4797` Chr`14` : `26,764,124`	0.506	0.494	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.506	0.494	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.505	0.494	0.000
rs11226914 lBF = `32.1781` Chr`11` : `105,941,504`	0.505	0.495	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.505	0.495	0.000
rs117914579 lBF = `12.095` Chr`14` : `93,099,890`	0.504	0.496	0.000
rs17127407 lBF = `21.5936` Chr`14` : `23,647,729`	0.504	0.496	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.503	0.497	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.503	0.497	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.503	0.497	0.000
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.503	0.497	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.502	0.498	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.502	0.498	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.502	0.498	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.501	0.499	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.500	0.499	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.500	0.500	0.000
rs16914589 lBF = `19.9553` Chr`11` : `49,974,670`	0.499	0.500	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.499	0.501	0.000
rs41472547 lBF = `20.301` Chr`11` : `49,917,671`	0.499	0.501	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.499	0.501	0.000
rs10498548 lBF = `16.7091` Chr`14` : `81,126,016`	0.498	0.501	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.498	0.502	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.498	0.502	0.000
rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.498	0.502	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.497	0.503	0.000
rs61740470 lBF = `25.1179` Chr`3` : `46,491,985`	0.497	0.503	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.497	0.503	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.497	0.503	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.497	0.503	0.000
rs17485667 lBF = `7.24574` Chr`9` : `131,768,191`	0.497	0.503	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.496	0.503	0.000
rs72858498 lBF = `17.8755` Chr`2` : `145,211,738`	0.496	0.503	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.496	0.504	0.000
rs13224671 lBF = `5.17412` Chr`7` : `6,736,332`	0.496	0.504	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.495	0.504	0.000
rs61854888 lBF = `5.50877` Chr`10` : `90,928,961`	0.495	0.505	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.495	0.505	0.000
rs7823724 lBF = `6.06735` Chr`8` : `141,404,329`	0.495	0.505	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.494	0.506	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.494	0.506	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.494	0.506	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.494	0.506	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.493	0.506	0.000
rs113465333 lBF = `13.2764` Chr`8` : `129,756,647`	0.493	0.507	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.493	0.507	0.000
rs114517646 lBF = `10.2252` Chr`1` : `76,033,729`	0.493	0.507	0.000
rs2233940 lBF = `19.3841` Chr`6` : `31,107,922`	0.493	0.507	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.493	0.507	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.492	0.508	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.492	0.508	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.491	0.508	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.491	0.509	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.491	0.509	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.491	0.509	0.000
rs80154457 lBF = `11.7422` Chr`14` : `72,537,428`	0.490	0.509	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.490	0.510	0.000
rs55721418 lBF = `20.0497` Chr`9` : `133,913,740`	0.489	0.511	0.000
rs12215963 lBF = `20.8881` Chr`6` : `31,138,619`	0.489	0.511	0.000
rs71563311 lBF = `20.1258` Chr`6` : `31,136,994`	0.489	0.511	0.000
rs78367857 lBF = `22.0796` Chr`2` : `183,228,357`	0.489	0.511	0.000
rs74453195 lBF = `16.6461` Chr`10` : `97,898,846`	0.489	0.511	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.488	0.511	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.488	0.511	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.488	0.512	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.488	0.512	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.488	0.512	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.488	0.512	0.000
rs66500175 lBF = `21.5503` Chr`14` : `33,249,806`	0.000	0.512	0.487
rs201564772 lBF = `17.1704` Chr`21` : `17,774,632`	0.487	0.513	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.487	0.513	0.000
rs75080821 lBF = `15.089` Chr`1` : `112,264,671`	0.487	0.513	0.000
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.487	0.513	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.486	0.513	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.486	0.514	0.000
rs78789724 lBF = `20.4177` Chr`2` : `201,459,445`	0.486	0.514	0.000
rs1653608 lBF = `16.5227` Chr`12` : `121,706,733`	0.486	0.514	0.000
rs55684811 lBF = `13.4343` Chr`10` : `7,041,621`	0.486	0.514	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.485	0.514	0.000
rs9327574 lBF = `12.0462` Chr`5` : `130,117,354`	0.485	0.515	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.485	0.515	0.000
rs80185276 lBF = `16.9695` Chr`5` : `140,606,696`	0.485	0.515	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.485	0.515	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.484	0.515	0.000
rs74361281 lBF = `11.9464` Chr`17` : `14,629,706`	0.484	0.515	0.000
rs199710891 lBF = `5.87106` Chr`12` : `14,273,071`	0.483	0.516	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.483	0.517	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.483	0.517	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.483	0.517	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

0.4808

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.1632

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9958

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9952

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.9812

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9805

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9794

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9794

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9767

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9704

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9618

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9543

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.9474

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9446

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.9308

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9189

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9171

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9162

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9161

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9071

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9055

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9041

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9040

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9037

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8996

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8957

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8948

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8940

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8939

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.8889

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8878

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8812

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8805

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8772

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.8745

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8738

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8725

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8680

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.8665

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.8641

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8606

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.8603

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8517

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8415

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8392

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8363

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8301

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8236

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8224

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8031

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.7990

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7959

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7889

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7819

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7804

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7790

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.7660

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7654

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7646

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7640

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7631

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.7596

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7588

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7461

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7380

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7354

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7350

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7310

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7300

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7277

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.7253

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7238

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7154

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.7149

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.7107

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7070

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.7035

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6970

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.6901

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6875

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6868

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6838

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6771

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6756

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6747

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6713

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.6702

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6595

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6564

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6544

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6477

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6391

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6359

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.6304

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.6140

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6102

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6018

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5908

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5792

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5769

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.5721

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5297

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5155

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5150

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5126

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5077

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4942

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4701

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4656

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.4641

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4549

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4467

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.4257

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4221

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.4198

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4165

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4123

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4121

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4020

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3950

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3825

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3699

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3609

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3536

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.3501

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3409

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.3184

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2992

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.2939

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2918

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2592

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2544

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.2451

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2138

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1823

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1726

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.1626

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.1594

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1532

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.1477

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.1380

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1047

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.0993

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0971

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0899

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.0888

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0755

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0755

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0728

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.0715

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0609

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0604

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0592

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.0557

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0526

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0516

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.0509

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`)