TreeWAS – [R26.3] Immobility

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
rs117331002 lBF = `5.16067` Chr`16` : `34,374,522`	0.903	0.097	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.892	0.108	0.000
rs112475278 lBF = `12.7647` Chr`3` : `103,347,707`	0.889	0.111	0.000
rs10404732 lBF = `11.9177` Chr`19` : `22,809,599`	0.888	0.112	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.885	0.115	0.000
rs8102610 lBF = `18.6414` Chr`19` : `22,936,708`	0.877	0.123	0.000
rs74577983 lBF = `12.6549` Chr`17` : `5,392,791`	0.850	0.150	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.840	0.160	0.000
rs72755182 lBF = `11.8699` Chr`9` : `126,214,819`	0.824	0.176	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.823	0.177	0.000
rs8107169 lBF = `12.2513` Chr`19` : `22,915,253`	0.822	0.178	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.816	0.184	0.000
rs61740110 lBF = `13.1325` Chr`19` : `22,942,335`	0.805	0.195	0.000
rs117291831 lBF = `7.6951` Chr`12` : `127,045,967`	0.800	0.199	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.800	0.200	0.000
rs17777854 lBF = `16.6024` Chr`14` : `89,610,698`	0.800	0.200	0.000
rs111341849 lBF = `13.9983` Chr`12` : `83,961,998`	0.799	0.201	0.000
rs77282176 lBF = `20.0294` Chr`13` : `85,917,626`	0.797	0.203	0.000
rs10089409 lBF = `7.8989` Chr`8` : `111,665,189`	0.791	0.209	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.787	0.213	0.000
rs79861226 lBF = `13.5365` Chr`2` : `155,790,230`	0.785	0.215	0.000
rs78690056 lBF = `12.2007` Chr`4` : `126,086,818`	0.782	0.218	0.000
rs577272 lBF = `128.797` Chr`6` : `31,837,963`	0.780	0.220	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.769	0.231	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.769	0.231	0.000
rs17632944 lBF = `13.5784` Chr`5` : `167,797,460`	0.768	0.232	0.000
rs77307613 lBF = `10.1553` Chr`18` : `66,961,498`	0.767	0.233	0.000
rs13200161 lBF = `51.0311` Chr`6` : `28,038,188`	0.766	0.234	0.000
rs114640135 lBF = `22.4698` Chr`2` : `194,417,472`	0.762	0.237	0.000
rs4151659 lBF = `46.172` Chr`6` : `31,918,464`	0.762	0.238	0.000
rs6492255 lBF = `6.1559` Chr`13` : `110,953,717`	0.762	0.238	0.000
rs76679028 lBF = `17.8851` Chr`6` : `73,795,052`	0.755	0.245	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.754	0.245	0.000
rs112472535 lBF = `16.0956` Chr`3` : `130,285,880`	0.753	0.247	0.000
rs116631028 lBF = `11.4875` Chr`1` : `81,019,150`	0.747	0.253	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.746	0.254	0.000
rs77960981 lBF = `12.5233` Chr`3` : `35,874,989`	0.744	0.256	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.743	0.257	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.741	0.259	0.000
rs78535563 lBF = `12.3274` Chr`6` : `12,397,127`	0.738	0.262	0.000
rs56181521 lBF = `10.1619` Chr`10` : `29,465,241`	0.733	0.267	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.728	0.272	0.000
rs1869717 lBF = `14.9172` Chr`4` : `140,751,121`	0.726	0.274	0.000
rs78726323 lBF = `10.6127` Chr`17` : `45,944,894`	0.726	0.274	0.000
rs114906368 lBF = `18.504` Chr`5` : `109,299,290`	0.725	0.275	0.000
rs73211928 lBF = `9.06643` Chr`12` : `118,039,876`	0.724	0.276	0.000
rs113403741 lBF = `11.9832` Chr`2` : `226,895,738`	0.722	0.278	0.000
rs12777 lBF = `7.66401` Chr`5` : `131,671,662`	0.722	0.278	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.721	0.279	0.000
rs75158997 lBF = `16.3135` Chr`7` : `33,796,970`	0.720	0.280	0.000
rs9284510 lBF = `6.78234` Chr`21` : `47,557,074`	0.718	0.282	0.000
rs8088922 lBF = `14.0675` Chr`18` : `6,976,513`	0.717	0.283	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.714	0.286	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.709	0.291	0.000
rs76584804 lBF = `10.3519` Chr`6` : `73,826,578`	0.706	0.294	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.706	0.294	0.000
rs72798157 lBF = `13.8829` Chr`5` : `107,430,034`	0.706	0.294	0.000
rs2605240 lBF = `14.9129` Chr`4` : `49,032,277`	0.704	0.296	0.000
rs76008529 lBF = `12.2268` Chr`10` : `78,216,867`	0.703	0.297	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.702	0.298	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.701	0.299	0.000
rs116730223 lBF = `15.9485` Chr`5` : `35,836,551`	0.701	0.299	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.700	0.300	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.696	0.304	0.000
rs76068811 lBF = `20.9165` Chr`4` : `140,794,560`	0.695	0.305	0.000
rs1459148 lBF = `10.3063` Chr`14` : `98,840,443`	0.695	0.305	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.694	0.305	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.694	0.306	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.693	0.307	0.000
rs75153334 lBF = `20.2913` Chr`14` : `22,426,873`	0.693	0.307	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.308	0.692
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.691	0.308	0.000
rs115127256 lBF = `14.3925` Chr`2` : `226,747,566`	0.690	0.310	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.690	0.310	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.689	0.311	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.687	0.312	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.687	0.313	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.686	0.314	0.000
rs79850769 lBF = `13.2202` Chr`18` : `12,373,469`	0.684	0.316	0.000
rs260262 lBF = `17.6741` Chr`6` : `42,428,634`	0.683	0.316	0.000
rs115062572 lBF = `43.4774` Chr`6` : `31,862,876`	0.682	0.318	0.000
rs9295990 lBF = `22.3458` Chr`6` : `31,386,019`	0.000	0.318	0.682
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.681	0.319	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.680	0.320	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.679	0.321	0.000
rs72799335 lBF = `16.5637` Chr`5` : `107,878,176`	0.679	0.321	0.000
rs78862578 lBF = `15.1649` Chr`14` : `72,663,062`	0.679	0.321	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.678	0.322	0.000
rs80228232 lBF = `25.8823` Chr`5` : `131,388,213`	0.678	0.322	0.000
rs17215305 lBF = `12.2436` Chr`19` : `19,293,252`	0.678	0.322	0.000
rs117843550 lBF = `13.8383` Chr`7` : `144,155,010`	0.677	0.323	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.675	0.325	0.000
rs117630467 lBF = `16.4687` Chr`20` : `13,475,327`	0.674	0.326	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.674	0.326	0.000
rs2242665 lBF = `128.069` Chr`6` : `31,839,309`	0.673	0.327	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.673	0.327	0.000
rs114807680 lBF = `13.419` Chr`3` : `134,804,491`	0.672	0.327	0.000
rs12132423 lBF = `19.5236` Chr`1` : `98,974,898`	0.672	0.328	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.672	0.328	0.000
rs78549223 lBF = `13.151` Chr`12` : `71,168,008`	0.672	0.328	0.000
rs76053268 lBF = `14.7595` Chr`7` : `101,478,402`	0.669	0.331	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.669	0.331	0.000
rs12052817 lBF = `6.45732` Chr`2` : `2,227,894`	0.668	0.332	0.000
rs78002439 lBF = `11.0263` Chr`20` : `24,759,367`	0.668	0.332	0.000
rs74566653 lBF = `14.3561` Chr`6` : `49,033,485`	0.665	0.335	0.000
rs8007689 lBF = `21.599` Chr`14` : `101,417,662`	0.665	0.335	0.000
rs80008499 lBF = `15.2522` Chr`18` : `69,654,690`	0.665	0.335	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.664	0.336	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.663	0.337	0.000
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.662	0.337	0.000
rs9564188 lBF = `15.2254` Chr`13` : `34,814,354`	0.662	0.338	0.000
Affx-15339481 lBF = `11.0701` Chr`18` : `6,958,609`	0.662	0.338	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.661	0.339	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.661	0.339	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.661	0.339	0.000
rs72780357 lBF = `18.1647` Chr`5` : `110,665,372`	0.661	0.339	0.000
rs77662038 lBF = `13.6756` Chr`12` : `83,497,229`	0.660	0.340	0.000
rs116996941 lBF = `29.402` Chr`20` : `51,117,437`	0.659	0.340	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.659	0.341	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.659	0.341	0.000
rs79665557 lBF = `22.2406` Chr`4` : `140,793,446`	0.657	0.343	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.654	0.346	0.000
rs113040104 lBF = `11.1608` Chr`21` : `24,412,633`	0.654	0.346	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.653	0.347	0.000
rs78049802 lBF = `10.8707` Chr`4` : `24,302,114`	0.653	0.347	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.653	0.347	0.000
rs17768925 lBF = `15.6193` Chr`14` : `72,641,469`	0.653	0.347	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.652	0.348	0.000
rs117262625 lBF = `15.8812` Chr`8` : `21,089,037`	0.651	0.348	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.651	0.349	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.650	0.350	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.350	0.650
rs77169098 lBF = `26.0362` Chr`2` : `97,638,495`	0.650	0.350	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.650	0.350	0.000
rs73302752 lBF = `21.6628` Chr`8` : `73,279,185`	0.649	0.351	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.648	0.352	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.648	0.352	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.647	0.353	0.000
rs35727241 lBF = `15.5892` Chr`3` : `191,366,444`	0.647	0.353	0.000
rs75095586 lBF = `14.093` Chr`10` : `78,240,340`	0.647	0.353	0.000
rs2250422 lBF = `11.7971` Chr`17` : `48,351,018`	0.647	0.353	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.646	0.353	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.646	0.354	0.000
rs79190853 lBF = `13.9391` Chr`10` : `78,277,122`	0.646	0.354	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.646	0.354	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.646	0.354	0.000
rs57584581 lBF = `29.3193` Chr`4` : `185,951,230`	0.645	0.355	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.644	0.356	0.000
rs2524276 lBF = `26.0024` Chr`6` : `31,408,265`	0.000	0.356	0.644
rs71595688 lBF = `19.2287` Chr`4` : `53,217,472`	0.643	0.357	0.000
rs79055996 lBF = `35.9057` Chr`4` : `93,900,609`	0.643	0.357	0.000
rs79978308 lBF = `2.78083` Chr`21` : `41,020,545`	0.641	0.359	0.000
rs74774921 lBF = `13.2878` Chr`2` : `145,674,870`	0.640	0.360	0.000
rs115447786 lBF = `28.0188` Chr`6` : `34,354,073`	0.640	0.360	0.000
rs73211904 lBF = `15.1348` Chr`7` : `116,772,327`	0.639	0.361	0.000
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.638	0.362	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.638	0.362	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.637	0.363	0.000
rs114188741 lBF = `17.6434` Chr`4` : `136,403,342`	0.636	0.363	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.636	0.364	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.636	0.364	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.636	0.364	0.000
rs76860700 lBF = `35.4858` Chr`1` : `168,705,216`	0.635	0.365	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.635	0.365	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.633	0.367	0.000
rs7912575 lBF = `12.5771` Chr`10` : `83,655,730`	0.633	0.367	0.000
rs11837432 lBF = `16.9657` Chr`12` : `2,170,893`	0.631	0.369	0.000
rs77348922 lBF = `13.2588` Chr`4` : `126,748,209`	0.631	0.369	0.000
rs34975815 lBF = `12.3173` Chr`4` : `138,411,388`	0.631	0.369	0.000
rs58280396 lBF = `16.5379` Chr`18` : `55,720,852`	0.631	0.369	0.000
rs73660508 lBF = `6.12279` Chr`8` : `5,942,562`	0.631	0.369	0.000
rs115252368 lBF = `16.3421` Chr`5` : `67,715,716`	0.630	0.370	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.630	0.370	0.000
rs11069738 lBF = `14.2211` Chr`13` : `109,114,226`	0.630	0.370	0.000
rs73173542 lBF = `15.7101` Chr`5` : `87,810,867`	0.629	0.371	0.000
rs75243694 lBF = `30.4632` Chr`4` : `93,667,946`	0.629	0.371	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.629	0.371	0.000
rs114214374 lBF = `16.21` Chr`6` : `31,254,015`	0.628	0.371	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.628	0.371	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.628	0.372	0.000
rs78013963 lBF = `20.4998` Chr`20` : `35,598,026`	0.627	0.373	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.624	0.375	0.000
rs181387571 lBF = `18.0545` Chr`17` : `16,249,665`	0.624	0.376	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.624	0.376	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.623	0.377	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.622	0.377	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.622	0.378	0.000
rs113197211 lBF = `21.1599` Chr`10` : `134,615,280`	0.621	0.379	0.000
rs116450392 lBF = `12.7108` Chr`4` : `1,782,281`	0.619	0.381	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.618	0.382	0.000
rs80205050 lBF = `6.82286` Chr`4` : `30,258,246`	0.618	0.382	0.000
rs259479 lBF = `12.9589` Chr`1` : `218,746,640`	0.618	0.382	0.000
rs116894699 lBF = `14.9995` Chr`7` : `117,002,834`	0.617	0.382	0.000
rs79565709 lBF = `12.3505` Chr`19` : `40,832,132`	0.617	0.383	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.617	0.383	0.000
rs80327898 lBF = `16.9494` Chr`1` : `83,359,635`	0.616	0.384	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.616	0.384	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.616	0.384	0.000
rs117017251 lBF = `14.3993` Chr`10` : `64,064,556`	0.616	0.384	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.615	0.385	0.000
rs114800680 lBF = `14.5931` Chr`4` : `105,469,120`	0.615	0.385	0.000
rs116564792 lBF = `14.2216` Chr`1` : `183,517,524`	0.613	0.386	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.613	0.387	0.000
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rs2516518 lBF = `13.8223` Chr`6` : `31,435,119`	0.000	0.463	0.537
rs7088203 lBF = `22.7378` Chr`10` : `73,946,588`	0.536	0.464	0.000
rs148838820 lBF = `16.8302` Chr`3` : `157,221,258`	0.536	0.464	0.000
rs117381702 lBF = `18.0392` Chr`11` : `106,018,682`	0.536	0.464	0.000
rs17333649 lBF = `6.63712` Chr`2` : `5,379,187`	0.535	0.464	0.000
rs117982023 lBF = `17.0832` Chr`11` : `101,286,673`	0.535	0.465	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.535	0.465	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.535	0.465	0.000
rs77308085 lBF = `20.0947` Chr`7` : `116,216,661`	0.535	0.465	0.000
rs2844520 lBF = `24.6949` Chr`6` : `31,407,758`	0.000	0.466	0.534
rs78811453 lBF = `17.7026` Chr`5` : `68,822,698`	0.534	0.466	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.533	0.467	0.000
rs80355510 lBF = `15.2228` Chr`2` : `114,764,516`	0.532	0.468	0.000
rs61753150 lBF = `23.5631` Chr`17` : `15,973,774`	0.531	0.469	0.000
rs12230170 lBF = `6.64286` Chr`12` : `129,247,383`	0.530	0.469	0.000
rs429358 lBF = `222.835` Chr`19` : `45,411,941`	0.529	0.471	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.529	0.471	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.529	0.471	0.000
rs41306231 lBF = `22.7252` Chr`1` : `200,801,935`	0.529	0.471	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.529	0.471	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.529	0.471	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.528	0.472	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.528	0.472	0.000
rs139877884 lBF = `13.2633` Chr`7` : `146,019,105`	0.528	0.472	0.000
rs804566 lBF = `14.0005` Chr`20` : `22,151,358`	0.527	0.473	0.000
rs7569074 lBF = `12.5456` Chr`2` : `33,580,954`	0.526	0.474	0.000
rs56393337 lBF = `24.0855` Chr`3` : `69,638,365`	0.526	0.474	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.526	0.474	0.000
rs72718371 lBF = `13.4489` Chr`1` : `90,819,737`	0.526	0.474	0.000
rs8102280 lBF = `30.7378` Chr`19` : `19,455,750`	0.525	0.475	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.525	0.475	0.000
rs117772358 lBF = `7.09414` Chr`18` : `42,348,576`	0.525	0.475	0.000
rs72869965 lBF = `16.5238` Chr`11` : `16,333,060`	0.524	0.476	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.523	0.476	0.000
rs79015790 lBF = `14.8688` Chr`12` : `128,700,249`	0.523	0.477	0.000
rs61849693 lBF = `19.7248` Chr`10` : `27,574,929`	0.523	0.477	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.523	0.477	0.000
rs12025684 lBF = `9.25873` Chr`1` : `41,748,642`	0.523	0.477	0.000
rs76730187 lBF = `16.278` Chr`4` : `169,864,449`	0.522	0.477	0.000
rs34986024 lBF = `38.1993` Chr`6` : `64,667,005`	0.522	0.478	0.000
rs79017592 lBF = `11.9239` Chr`7` : `99,656,563`	0.522	0.478	0.000
rs117825839 lBF = `16.5381` Chr`12` : `28,978,196`	0.522	0.478	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.521	0.479	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.520	0.480	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.520	0.480	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.520	0.480	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.519	0.481	0.000
rs77665194 lBF = `15.0844` Chr`18` : `12,455,794`	0.518	0.482	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.518	0.482	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.518	0.482	0.000
rs149872224 lBF = `17.5873` Chr`10` : `19,786,378`	0.517	0.483	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.517	0.483	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.517	0.483	0.000
rs73037948 lBF = `16.3814` Chr`11` : `127,304,116`	0.517	0.483	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.516	0.484	0.000
rs140436982 lBF = `4.22646` Chr`14` : `24,504,121`	0.516	0.484	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.515	0.484	0.000
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.515	0.485	0.000
rs118155463 lBF = `21.1268` Chr`17` : `8,079,842`	0.515	0.485	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.515	0.485	0.000
rs77205825 lBF = `25.6929` Chr`8` : `140,470,489`	0.515	0.485	0.000
rs74452899 lBF = `12.3113` Chr`12` : `89,024,239`	0.515	0.485	0.000
rs72691846 lBF = `47.833` Chr`1` : `114,466,659`	0.515	0.485	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.514	0.486	0.000
rs75128130 lBF = `11.4347` Chr`13` : `33,783,123`	0.514	0.486	0.000
rs9451906 lBF = `28.3252` Chr`6` : `65,240,905`	0.514	0.486	0.000
rs117420945 lBF = `15.4093` Chr`14` : `75,662,480`	0.514	0.486	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.514	0.486	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.513	0.487	0.000
rs115322418 lBF = `13.4298` Chr`1` : `27,762,459`	0.513	0.487	0.000
rs3808343 lBF = `16.8732` Chr`7` : `960,450`	0.513	0.487	0.000
rs138090874 lBF = `8.9374` Chr`7` : `31,302,391`	0.512	0.488	0.000
rs17005356 lBF = `14.871` Chr`3` : `69,153,225`	0.512	0.488	0.000
rs10457202 lBF = `14.4429` Chr`6` : `97,238,839`	0.512	0.488	0.000
rs72821574 lBF = `15.3356` Chr`6` : `10,709,632`	0.511	0.489	0.000
rs117487871 lBF = `18.8839` Chr`7` : `50,073,888`	0.511	0.489	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.510	0.489	0.000
rs73079182 lBF = `14.8264` Chr`7` : `24,050,383`	0.510	0.489	0.000
rs148793625 lBF = `14.7971` Chr`2` : `118,117,059`	0.510	0.490	0.000
rs72937299 lBF = `16.2552` Chr`3` : `50,993,009`	0.510	0.490	0.000
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.509	0.491	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.509	0.491	0.000
rs61819881 lBF = `13.5132` Chr`1` : `209,460,628`	0.509	0.491	0.000
rs72753808 lBF = `20.4495` Chr`1` : `204,517,487`	0.508	0.492	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.508	0.492	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.492	0.508
rs113040697 lBF = `28.1855` Chr`8` : `118,185,308`	0.508	0.492	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.508	0.492	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.507	0.493	0.000
rs17237098 lBF = `8.24732` Chr`3` : `185,176,901`	0.507	0.493	0.000
rs118083488 lBF = `17.572` Chr`6` : `159,789,012`	0.506	0.494	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.506	0.494	0.000
rs77869481 lBF = `13.1447` Chr`3` : `191,374,294`	0.506	0.494	0.000
rs17196989 lBF = `17.1778` Chr`6` : `31,113,703`	0.505	0.494	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.505	0.494	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.505	0.495	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

0.5185

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2339

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9961

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9957

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9951

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9926

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9888

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9859

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9858

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9793

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9783

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.9779

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9771

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9725

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9722

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.9688

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.9678

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9676

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9675

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.9593

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9559

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9512

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9472

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9437

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9430

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9397

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9346

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9326

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9317

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9304

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9301

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9277

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9261

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9209

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9200

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9107

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9074

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.9051

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9013

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9002

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.8938

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8889

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8886

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.8859

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8756

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8743

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8725

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8698

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8563

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8562

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8547

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8190

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8138

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8132

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8059

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.7974

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7906

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7900

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.7883

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7869

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.7845

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7760

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7732

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7714

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.7697

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7665

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7634

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7629

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7596

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7563

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.7554

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7467

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7431

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7294

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7279

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7237

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.7233

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7225

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7145

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7069

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.7050

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7006

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6972

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6818

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6786

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6638

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6629

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6607

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6543

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6534

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6502

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6426

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6304

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6215

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.6099

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6047

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6020

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.5904

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.5878

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.5843

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5761

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5746

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.5601

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5548

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5475

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5375

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5359

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5291

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5174

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4935

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4896

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4885

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.4878

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4864

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4850

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4819

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4797

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4750

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4513

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4362

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4346

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.4243

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4068

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3964

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3953

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3929

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3735

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3511

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3230

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.3135

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.2977

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2931

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2842

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.2687

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.2635

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2524

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.2504

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.2434

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2310

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2226

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2198

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1724

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1711

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.1695

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.1506

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1379

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1238

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1229

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.1186

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1061

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.0929

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.0866

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.0791

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.0701

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.0690

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.0620

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0605

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0528

Cluster X0325

log Bayes Factor = 58.453

contains 4 variants

0.0520

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`)