TreeWAS – [M79.64] Pain in limb (Hand)

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
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.965	0.035	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.949	0.051	0.000
rs12660817 lBF = `9.11468` Chr`6` : `31,336,757`	0.905	0.095	0.000
rs1265096 lBF = `29.8459` Chr`6` : `31,106,489`	0.892	0.108	0.000
rs7305482 lBF = `8.02751` Chr`12` : `62,582,231`	0.886	0.114	0.000
rs11955513 lBF = `5.12159` Chr`5` : `74,336,883`	0.873	0.127	0.000
rs11174454 lBF = `8.97302` Chr`12` : `62,781,002`	0.865	0.135	0.000
rs4949465 lBF = `13.4685` Chr`1` : `32,178,489`	0.862	0.138	0.000
rs62141428 lBF = `10.7247` Chr`2` : `80,335,732`	0.851	0.149	0.000
rs62096462 lBF = `5.38029` Chr`18` : `44,625,179`	0.842	0.158	0.000
rs6028466 lBF = `4.11798` Chr`20` : `38,129,002`	0.840	0.160	0.000
rs114202713 lBF = `10.9168` Chr`2` : `50,748,990`	0.839	0.161	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.838	0.162	0.000
rs113994472 lBF = `15.0393` Chr`1` : `26,737,645`	0.836	0.164	0.000
rs17028048 lBF = `11.7118` Chr`1` : `112,129,736`	0.834	0.166	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.832	0.168	0.000
rs12515891 lBF = `6.44113` Chr`5` : `74,317,380`	0.828	0.172	0.000
rs117677736 lBF = `7.64402` Chr`17` : `74,828,485`	0.826	0.174	0.000
rs117802803 lBF = `21.4181` Chr`12` : `22,796,804`	0.825	0.175	0.000
rs3095238 lBF = `53.469` Chr`6` : `31,161,210`	0.000	0.175	0.825
rs74767006 lBF = `9.9283` Chr`7` : `25,076,186`	0.815	0.185	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.812	0.188	0.000
rs2905722 lBF = `89.046` Chr`6` : `31,449,327`	0.000	0.193	0.807
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.804	0.196	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.801	0.199	0.000
rs72636144 lBF = `14.7509` Chr`13` : `89,128,017`	0.801	0.199	0.000
rs3094609 lBF = `52.5171` Chr`6` : `31,165,566`	0.000	0.204	0.796
rs62272818 lBF = `8.90122` Chr`3` : `160,515,586`	0.795	0.205	0.000
rs3766823 lBF = `11.995` Chr`1` : `32,197,257`	0.795	0.205	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.795	0.205	0.000
rs76151551 lBF = `7.90722` Chr`18` : `62,136,863`	0.795	0.205	0.000
rs4949223 lBF = `10.3921` Chr`1` : `32,221,913`	0.794	0.206	0.000
rs1531046 lBF = `5.49776` Chr`2` : `84,550,396`	0.793	0.207	0.000
rs10947210 lBF = `10.1686` Chr`6` : `31,417,742`	0.792	0.208	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.792	0.208	0.000
rs2523663 lBF = `91.8832` Chr`6` : `31,439,740`	0.000	0.210	0.790
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.786	0.214	0.000
rs73184024 lBF = `7.44053` Chr`3` : `121,830,755`	0.779	0.221	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.774	0.226	0.000
rs687621 lBF = `157.152` Chr`9` : `136,137,065`	0.772	0.228	0.000
rs35735708 lBF = `10.9325` Chr`18` : `72,038,965`	0.771	0.229	0.000
rs62141431 lBF = `10.2305` Chr`2` : `80,342,942`	0.769	0.231	0.000
rs34075261 lBF = `7.07826` Chr`1` : `112,233,741`	0.766	0.234	0.000
rs1208134 lBF = `164.877` Chr`1` : `169,428,944`	0.764	0.236	0.000
rs74664674 lBF = `18.0774` Chr`8` : `105,468,730`	0.763	0.237	0.000
rs11746865 lBF = `27.9946` Chr`5` : `136,600,241`	0.763	0.237	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.763	0.237	0.000
rs111576115 lBF = `15.9212` Chr`7` : `50,712,649`	0.757	0.243	0.000
rs74376624 lBF = `20.3893` Chr`5` : `154,855,619`	0.756	0.244	0.000
rs75123980 lBF = `11.1185` Chr`1` : `159,798,486`	0.755	0.245	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.754	0.246	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.753	0.247	0.000
rs41267086 lBF = `13.5045` Chr`6` : `31,847,636`	0.753	0.247	0.000
rs2654763 lBF = `7.55272` Chr`3` : `114,043,124`	0.753	0.247	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.751	0.249	0.000
rs75005416 lBF = `13.8273` Chr`4` : `152,583,764`	0.751	0.249	0.000
rs3132469 lBF = `98.3432` Chr`6` : `31,456,567`	0.000	0.252	0.748
rs8066099 lBF = `8.67262` Chr`17` : `14,889,925`	0.747	0.253	0.000
rs76092860 lBF = `17.1237` Chr`4` : `123,846,569`	0.747	0.253	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.746	0.254	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.745	0.255	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.743	0.257	0.000
rs117024145 lBF = `17.1515` Chr`17` : `8,005,847`	0.742	0.258	0.000
rs6025 lBF = `329.608` Chr`1` : `169,519,049`	0.740	0.260	0.000
rs75222977 lBF = `16.5267` Chr`1` : `172,235,394`	0.740	0.260	0.000
rs114835835 lBF = `12.4739` Chr`2` : `207,809,544`	0.738	0.262	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.738	0.262	0.000
rs117699411 lBF = `14.2479` Chr`7` : `18,378,068`	0.738	0.262	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.737	0.263	0.000
rs11572671 lBF = `15.0523` Chr`1` : `216,893,238`	0.736	0.264	0.000
rs79680354 lBF = `22.0763` Chr`12` : `119,361,070`	0.736	0.264	0.000
rs74859699 lBF = `18.3331` Chr`1` : `154,739,875`	0.736	0.264	0.000
rs79338951 lBF = `8.00884` Chr`2` : `117,705,815`	0.733	0.267	0.000
rs55962141 lBF = `15.8691` Chr`3` : `194,667,220`	0.733	0.267	0.000
rs505922 lBF = `162.562` Chr`9` : `136,149,229`	0.732	0.268	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.731	0.269	0.000
rs76630343 lBF = `11.3462` Chr`4` : `114,513,009`	0.730	0.270	0.000
rs3744064 lBF = `4.44478` Chr`17` : `75,211,208`	0.729	0.270	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.728	0.272	0.000
rs802568 lBF = `5.38114` Chr`7` : `145,959,243`	0.728	0.272	0.000
rs118053201 lBF = `7.94852` Chr`18` : `14,962,250`	0.727	0.273	0.000
rs77620456 lBF = `16.281` Chr`1` : `214,788,839`	0.727	0.273	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.726	0.274	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.725	0.275	0.000
rs114112990 lBF = `28.3835` Chr`1` : `1,334,519`	0.725	0.275	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.723	0.277	0.000
rs74522278 lBF = `14.9957` Chr`7` : `5,156,883`	0.723	0.277	0.000
rs77700287 lBF = `19.9573` Chr`4` : `174,978,888`	0.722	0.278	0.000
rs16861990 lBF = `159.764` Chr`1` : `169,135,127`	0.722	0.278	0.000
rs61736521 lBF = `25.3724` Chr`19` : `56,206,311`	0.722	0.278	0.000
rs113202432 lBF = `14.8132` Chr`5` : `59,122,948`	0.721	0.278	0.000
rs3812645 lBF = `12.4738` Chr`10` : `87,489,317`	0.721	0.279	0.000
rs116073216 lBF = `12.4916` Chr`2` : `16,166,362`	0.721	0.279	0.000
rs802571 lBF = `4.20999` Chr`7` : `145,962,186`	0.721	0.279	0.000
rs116976641 lBF = `23.6656` Chr`7` : `18,277,071`	0.721	0.279	0.000
rs192051543 lBF = `14.1247` Chr`12` : `22,657,770`	0.721	0.279	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.720	0.280	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.719	0.281	0.000
rs117531393 lBF = `17.074` Chr`18` : `25,835,185`	0.719	0.281	0.000
rs77141874 lBF = `14.9976` Chr`6` : `55,438,094`	0.718	0.282	0.000
rs117676517 lBF = `13.7989` Chr`11` : `43,925,152`	0.718	0.282	0.000
rs115811434 lBF = `12.939` Chr`4` : `82,956,773`	0.718	0.282	0.000
rs1265100 lBF = `24.7082` Chr`6` : `31,105,310`	0.718	0.282	0.000
rs62510137 lBF = `19.6427` Chr`8` : `64,161,503`	0.717	0.283	0.000
rs117608348 lBF = `10.9159` Chr`14` : `105,974,186`	0.717	0.283	0.000
rs6687813 lBF = `164.175` Chr`1` : `169,477,574`	0.716	0.284	0.000
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.715	0.285	0.000
rs75006910 lBF = `6.06699` Chr`8` : `124,535,085`	0.715	0.285	0.000
rs79523461 lBF = `15.6573` Chr`2` : `143,063,101`	0.713	0.286	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.713	0.287	0.000
rs1018827 lBF = `160.837` Chr`1` : `169,514,006`	0.712	0.287	0.000
rs17237902 lBF = `11.6133` Chr`8` : `104,929,497`	0.712	0.287	0.000
rs117320784 lBF = `13.3956` Chr`18` : `58,896,482`	0.712	0.287	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.712	0.288	0.000
rs74357743 lBF = `13.6586` Chr`8` : `74,712,506`	0.712	0.288	0.000
rs2420371 lBF = `159.024` Chr`1` : `169,491,555`	0.712	0.288	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.711	0.289	0.000
rs79719602 lBF = `22.0554` Chr`17` : `68,033,186`	0.710	0.290	0.000
rs80343479 lBF = `10.9579` Chr`8` : `16,386,058`	0.710	0.290	0.000
rs75579756 lBF = `14.6674` Chr`2` : `174,201,924`	0.710	0.290	0.000
rs28548100 lBF = `8.90333` Chr`10` : `47,096,896`	0.709	0.290	0.000
rs6427196 lBF = `150.089` Chr`1` : `169,481,223`	0.000	0.291	0.709
rs117926607 lBF = `23.2066` Chr`8` : `55,468,849`	0.709	0.291	0.000
rs80095409 lBF = `23.6243` Chr`7` : `107,600,211`	0.709	0.291	0.000
rs2351326 lBF = `12.3551` Chr`8` : `111,847,246`	0.709	0.291	0.000
rs78407966 lBF = `14.4033` Chr`4` : `158,833,699`	0.708	0.292	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.708	0.292	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.707	0.293	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.707	0.293	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.707	0.293	0.000
rs117887431 lBF = `13.1882` Chr`21` : `43,679,123`	0.706	0.294	0.000
rs62353264 lBF = `2.79818` Chr`4` : `166,085,805`	0.705	0.294	0.000
rs76504129 lBF = `16.9936` Chr`6` : `114,132,943`	0.704	0.296	0.000
rs116224392 lBF = `11.3558` Chr`3` : `69,810,826`	0.704	0.296	0.000
rs6534757 lBF = `14.7722` Chr`4` : `130,956,329`	0.703	0.297	0.000
rs55677935 lBF = `39.658` Chr`2` : `62,228,013`	0.702	0.298	0.000
rs117693426 lBF = `13.2487` Chr`14` : `105,884,482`	0.701	0.299	0.000
rs150369892 lBF = `14.2967` Chr`1` : `158,517,471`	0.700	0.300	0.000
rs74520339 lBF = `14.4457` Chr`7` : `156,880,653`	0.700	0.300	0.000
rs1799963 lBF = `43.419` Chr`11` : `46,761,055`	0.700	0.300	0.000
rs74339132 lBF = `14.7722` Chr`2` : `54,585,354`	0.700	0.300	0.000
rs149784093 lBF = `3.78296` Chr`10` : `89,752,211`	0.700	0.300	0.000
rs2888406 lBF = `18.0651` Chr`5` : `68,105,237`	0.699	0.301	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.698	0.302	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.697	0.303	0.000
rs114653669 lBF = `13.949` Chr`1` : `222,548,555`	0.696	0.304	0.000
rs78516619 lBF = `61.5791` Chr`1` : `168,889,373`	0.696	0.304	0.000
rs2328519 lBF = `16.0477` Chr`6` : `144,142,629`	0.695	0.305	0.000
rs72780934 lBF = `15.1564` Chr`10` : `8,882,223`	0.695	0.305	0.000
rs77090488 lBF = `26.9855` Chr`14` : `84,959,799`	0.695	0.305	0.000
rs80311134 lBF = `15.2474` Chr`7` : `156,876,169`	0.694	0.305	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.694	0.306	0.000
rs1796923 lBF = `14.6393` Chr`1` : `20,306,279`	0.693	0.307	0.000
rs118048884 lBF = `19.0883` Chr`10` : `132,406,347`	0.692	0.307	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.692	0.308	0.000
rs118053264 lBF = `15.1239` Chr`8` : `19,356,779`	0.691	0.309	0.000
rs34627775 lBF = `6.44243` Chr`18` : `75,426,633`	0.691	0.309	0.000
rs6855671 lBF = `12.9481` Chr`4` : `114,502,911`	0.691	0.309	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.690	0.310	0.000
rs78297488 lBF = `12.029` Chr`3` : `114,058,769`	0.690	0.310	0.000
rs760293 lBF = `114.081` Chr`6` : `31,611,777`	0.000	0.310	0.690
rs76531899 lBF = `13.8951` Chr`5` : `109,156,748`	0.689	0.311	0.000
rs11579152 lBF = `12.9501` Chr`1` : `166,493,330`	0.689	0.311	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.689	0.311	0.000
rs113161398 lBF = `14.3881` Chr`7` : `50,859,432`	0.688	0.312	0.000
rs7382297 lBF = `54.9374` Chr`6` : `31,247,067`	0.000	0.312	0.688
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.687	0.313	0.000
rs118094226 lBF = `14.8162` Chr`6` : `96,569,132`	0.687	0.313	0.000
rs3732064 lBF = `17.419` Chr`2` : `65,074,357`	0.686	0.314	0.000
rs1265103 lBF = `20.4044` Chr`6` : `31,100,978`	0.686	0.314	0.000
rs707936 lBF = `7.2199` Chr`6` : `31,733,650`	0.686	0.314	0.000
rs78469867 lBF = `11.4083` Chr`2` : `50,891,944`	0.686	0.314	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.685	0.314	0.000
rs78497692 lBF = `8.80612` Chr`7` : `91,151,632`	0.685	0.315	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.685	0.315	0.000
rs945307 lBF = `13.1426` Chr`14` : `57,824,617`	0.685	0.315	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.685	0.315	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.684	0.316	0.000
rs117473458 lBF = `11.4108` Chr`14` : `38,261,632`	0.684	0.316	0.000
rs74349534 lBF = `15.5514` Chr`7` : `83,764,113`	0.683	0.317	0.000
rs73313346 lBF = `11.9512` Chr`7` : `18,723,232`	0.683	0.317	0.000
rs78008978 lBF = `13.3787` Chr`12` : `77,282,680`	0.683	0.317	0.000
rs78613695 lBF = `14.371` Chr`3` : `140,106,659`	0.682	0.318	0.000
rs117069376 lBF = `9.48441` Chr`21` : `19,995,322`	0.680	0.320	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.678	0.322	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.677	0.323	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.677	0.323	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.677	0.323	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.677	0.323	0.000
rs79839650 lBF = `14.028` Chr`13` : `52,019,665`	0.676	0.324	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.676	0.324	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.676	0.324	0.000
rs116211639 lBF = `16.8079` Chr`1` : `33,400,355`	0.676	0.324	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.676	0.324	0.000
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.676	0.324	0.000
rs73384554 lBF = `13.3131` Chr`22` : `18,320,739`	0.675	0.325	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.675	0.325	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.674	0.326	0.000
rs112008915 lBF = `8.98796` Chr`1` : `243,118,409`	0.673	0.327	0.000
rs112962238 lBF = `25.5035` Chr`19` : `35,020,567`	0.672	0.328	0.000
rs2857709 lBF = `104.056` Chr`6` : `31,532,814`	0.000	0.330	0.670
rs73204665 lBF = `14.5549` Chr`8` : `9,621,236`	0.669	0.331	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.669	0.331	0.000
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rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.598	0.402	0.000
rs77809575 lBF = `25.0612` Chr`5` : `95,206,522`	0.598	0.402	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.597	0.403	0.000
rs117186005 lBF = `11.4684` Chr`7` : `50,242,992`	0.597	0.403	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.597	0.403	0.000
rs146495511 lBF = `11.8047` Chr`2` : `26,825,698`	0.597	0.403	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.597	0.403	0.000
rs77055995 lBF = `12.9148` Chr`2` : `1,757,956`	0.597	0.403	0.000
rs56227635 lBF = `17.231` Chr`2` : `128,259,423`	0.597	0.403	0.000
rs2290161 lBF = `15.2998` Chr`3` : `12,633,168`	0.597	0.403	0.000
rs57484362 lBF = `14.3244` Chr`2` : `43,866,411`	0.596	0.403	0.000
rs114473650 lBF = `14.9935` Chr`2` : `11,553,930`	0.596	0.403	0.000
rs116998110 lBF = `13.3549` Chr`2` : `72,099,750`	0.595	0.405	0.000
rs797495 lBF = `14.4835` Chr`13` : `51,269,796`	0.595	0.405	0.000
rs115487786 lBF = `14.3166` Chr`1` : `170,945,292`	0.594	0.406	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.594	0.406	0.000
rs12515838 lBF = `11.2249` Chr`5` : `174,487,366`	0.594	0.406	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.593	0.407	0.000
rs45533135 lBF = `73.6781` Chr`6` : `31,430,951`	0.593	0.407	0.000
rs56050610 lBF = `18.0004` Chr`7` : `101,260,030`	0.592	0.408	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.592	0.408	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.592	0.408	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.591	0.409	0.000
rs148411008 lBF = `1.32232` Chr`2` : `171,654,272`	0.591	0.409	0.000
rs78775229 lBF = `15.1154` Chr`18` : `36,175,363`	0.591	0.409	0.000
rs77327606 lBF = `11.6049` Chr`2` : `144,271,136`	0.590	0.410	0.000
rs6964235 lBF = `13.3459` Chr`7` : `123,304,368`	0.590	0.410	0.000
rs73100613 lBF = `6.19765` Chr`7` : `32,132,342`	0.590	0.410	0.000
rs78275090 lBF = `15.0637` Chr`13` : `56,770,414`	0.589	0.411	0.000
rs117093004 lBF = `2.80417` Chr`13` : `57,119,253`	0.589	0.411	0.000
rs17461766 lBF = `19.7173` Chr`20` : `54,975,770`	0.589	0.411	0.000
rs114712131 lBF = `14.8334` Chr`1` : `73,192,263`	0.588	0.412	0.000
rs28404158 lBF = `15.9414` Chr`5` : `177,028,676`	0.587	0.412	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.587	0.413	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.587	0.413	0.000
rs77165959 lBF = `20.682` Chr`1` : `98,821,573`	0.586	0.414	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.586	0.414	0.000
rs9264523 lBF = `48.9822` Chr`6` : `31,233,758`	0.000	0.414	0.586
rs10136659 lBF = `14.3641` Chr`14` : `65,377,610`	0.585	0.414	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.585	0.415	0.000
rs115860471 lBF = `16.459` Chr`3` : `4,063,676`	0.585	0.415	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.584	0.415	0.000
rs117704155 lBF = `14.0485` Chr`14` : `37,850,007`	0.584	0.416	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.584	0.416	0.000
rs116859464 lBF = `15.7364` Chr`7` : `156,086,970`	0.584	0.416	0.000
rs72944377 lBF = `17.6653` Chr`11` : `79,402,751`	0.583	0.417	0.000
rs72720853 lBF = `18.1353` Chr`14` : `62,630,726`	0.583	0.417	0.000
rs78254357 lBF = `8.6305` Chr`4` : `127,368,741`	0.581	0.419	0.000
rs2894202 lBF = `51.3543` Chr`6` : `31,233,270`	0.000	0.419	0.581
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.581	0.419	0.000
rs114531066 lBF = `12.089` Chr`1` : `241,879,430`	0.581	0.419	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.580	0.419	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.580	0.420	0.000
rs56229264 lBF = `17.6142` Chr`8` : `27,321,189`	0.580	0.420	0.000
Affx-29348152 lBF = `11.5576` Chr`7` : `100,304,864`	0.580	0.420	0.000
rs79858132 lBF = `12.9845` Chr`3` : `181,589,717`	0.580	0.420	0.000
rs78024203 lBF = `16.2259` Chr`2` : `125,447,492`	0.579	0.420	0.000
rs55961051 lBF = `7.1427` Chr`1` : `21,098,816`	0.579	0.421	0.000
rs58842514 lBF = `17.5944` Chr`17` : `76,367,270`	0.579	0.421	0.000
rs111785014 lBF = `10.9403` Chr`13` : `40,665,192`	0.579	0.421	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.579	0.421	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.578	0.422	0.000
rs115624078 lBF = `17.7785` Chr`6` : `15,981,550`	0.578	0.422	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.578	0.422	0.000
rs10060998 lBF = `18.5245` Chr`5` : `109,231,464`	0.577	0.423	0.000
rs79169085 lBF = `7.81341` Chr`17` : `46,297,515`	0.577	0.423	0.000
rs112469508 lBF = `15.1969` Chr`7` : `153,176,649`	0.576	0.423	0.000
rs34740499 lBF = `11.6308` Chr`19` : `1,697,366`	0.576	0.424	0.000
rs922443 lBF = `15.2262` Chr`19` : `13,158,643`	0.575	0.424	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.576	0.424	0.000
rs3748140 lBF = `15.9864` Chr`8` : `8,999,019`	0.575	0.424	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.575	0.425	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.575	0.425	0.000
rs3798305 lBF = `1.4473` Chr`6` : `167,363,473`	0.575	0.425	0.000
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.575	0.425	0.000
rs72765334 lBF = `5.63815` Chr`2` : `3,312,868`	0.575	0.425	0.000
rs73114523 lBF = `14.6366` Chr`12` : `54,602,032`	0.575	0.425	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.575	0.425	0.000
rs62070016 lBF = `9.95585` Chr`17` : `9,170,659`	0.575	0.425	0.000
rs75578006 lBF = `5.03035` Chr`1` : `21,346,104`	0.575	0.425	0.000
rs77471165 lBF = `21.1513` Chr`3` : `111,395,880`	0.574	0.426	0.000
rs1513326 lBF = `11.8646` Chr`3` : `111,297,149`	0.574	0.426	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.574	0.426	0.000
rs117790077 lBF = `15.5269` Chr`20` : `49,029,760`	0.574	0.426	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.573	0.427	0.000
rs3132503 lBF = `48.8767` Chr`6` : `31,179,006`	0.000	0.427	0.573
rs115413613 lBF = `22.5701` Chr`6` : `25,471,772`	0.573	0.427	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.573	0.427	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.572	0.427	0.000
rs17130931 lBF = `5.74152` Chr`1` : `90,387,054`	0.572	0.428	0.000
rs35533335 lBF = `14.4465` Chr`1` : `32,280,369`	0.572	0.428	0.000
rs17793043 lBF = `19.8017` Chr`6` : `114,378,722`	0.571	0.428	0.000
rs35043422 lBF = `8.72348` Chr`8` : `23,274,627`	0.571	0.429	0.000
rs74687512 lBF = `14.1793` Chr`1` : `200,901,543`	0.571	0.429	0.000
rs78649275 lBF = `7.69212` Chr`1` : `21,477,033`	0.571	0.429	0.000
rs117487501 lBF = `16.2076` Chr`14` : `26,589,434`	0.571	0.429	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9895

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9893

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9881

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9842

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9824

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9766

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9752

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.9739

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9710

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9698

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9640

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.9585

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9578

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9519

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9492

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.9444

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9430

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9426

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9407

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.9339

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9333

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9266

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.9221

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9167

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9130

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9099

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9089

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8968

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8855

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8838

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8781

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8758

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8757

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.8752

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8742

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8692

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.8664

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8643

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8639

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.8621

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8617

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8504

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.8482

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8451

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8448

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.8245

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8078

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.8059

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.8042

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7679

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7664

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.7540

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.7492

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7489

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7457

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7409

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7356

Cluster X0321

log Bayes Factor = 162.562

contains 1 variants

0.7319

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7271

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7167

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7167

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7166

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7158

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.7005

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6986

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6924

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6796

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.6721

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6673

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6526

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6508

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6442

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6366

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6351

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6282

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6224

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6193

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6103

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5973

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5933

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5702

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5656

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5602

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5573

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5510

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5488

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.5438

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5168

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.5095

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5023

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4984

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4973

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4667

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4629

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4437

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4337

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4256

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4237

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4200

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4189

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.4125

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4111

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4076

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3856

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3822

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.3816

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3804

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3539

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3527

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.3446

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3348

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.3309

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.3280

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3266

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.3206

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3168

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.2556

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.2469

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2338

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2243

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2186

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.2148

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2141

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.2071

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.2028

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.1924

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1890

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.1831

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1814

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.1754

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.1575

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.1463

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.1392

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1357

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1356

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1305

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.1245

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.1208

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1192

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0815

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0755

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0735

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0654

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.0609

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0564

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0536

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`)