TreeWAS – [M22.2] Patellofemoral disorders

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
rs8283 lBF = `104.518` Chr`6` : `32,083,300`	0.000	0.052	0.948
rs12189703 lBF = `5.65873` Chr`6` : `40,112,188`	0.910	0.090	0.000
rs1419643 lBF = `52.3748` Chr`6` : `29,391,936`	0.894	0.106	0.000
rs1419642 lBF = `52.2894` Chr`6` : `29,392,235`	0.890	0.110	0.000
rs2523589 lBF = `129.09` Chr`6` : `31,327,334`	0.000	0.129	0.871
rs1015166 lBF = `175.874` Chr`6` : `32,798,731`	0.870	0.130	0.000
rs9467704 lBF = `146.867` Chr`6` : `26,319,486`	0.867	0.133	0.000
rs994321 lBF = `53.3234` Chr`6` : `29,372,356`	0.865	0.135	0.000
rs9467711 lBF = `146.775` Chr`6` : `26,332,605`	0.863	0.137	0.000
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.854	0.146	0.000
rs6903015 lBF = `151.174` Chr`6` : `26,322,526`	0.850	0.150	0.000
rs1634726 lBF = `154.507` Chr`6` : `30,985,828`	0.837	0.163	0.000
rs2239701 lBF = `159.351` Chr`6` : `32,805,049`	0.826	0.174	0.000
rs7765379 lBF = `110.484` Chr`6` : `32,680,928`	0.822	0.178	0.000
rs7764819 lBF = `111.178` Chr`6` : `32,680,576`	0.820	0.180	0.000
rs2517598 lBF = `209.688` Chr`6` : `30,080,274`	0.815	0.185	0.000
rs3131934 lBF = `112.591` Chr`6` : `30,931,844`	0.813	0.187	0.000
rs9262549 lBF = `194.048` Chr`6` : `30,997,692`	0.812	0.188	0.000
rs1233480 lBF = `226.569` Chr`6` : `29,477,414`	0.811	0.189	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.810	0.190	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.809	0.191	0.000
rs149943 lBF = `158.636` Chr`6` : `28,002,388`	0.806	0.194	0.000
rs9467714 lBF = `110.852` Chr`6` : `26,340,785`	0.803	0.197	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.799	0.201	0.000
rs2844793 lBF = `219.632` Chr`6` : `30,080,496`	0.799	0.201	0.000
rs202906 lBF = `157.084` Chr`6` : `28,011,652`	0.798	0.202	0.000
rs9276644 lBF = `145.002` Chr`6` : `32,745,043`	0.798	0.202	0.000
rs2523985 lBF = `215.269` Chr`6` : `30,081,334`	0.791	0.208	0.000
rs13211318 lBF = `70.2014` Chr`6` : `32,102,680`	0.000	0.210	0.790
rs2517546 lBF = `128.826` Chr`6` : `31,009,055`	0.790	0.210	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.787	0.213	0.000
rs13195402 lBF = `163.895` Chr`6` : `26,463,575`	0.784	0.216	0.000
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.784	0.216	0.000
rs2249099 lBF = `215.398` Chr`6` : `30,079,307`	0.783	0.217	0.000
rs1977 lBF = `133.04` Chr`6` : `26,377,546`	0.781	0.219	0.000
rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	0.780	0.220	0.000
rs2746149 lBF = `222.222` Chr`6` : `29,435,355`	0.778	0.222	0.000
rs6904596 lBF = `166.569` Chr`6` : `27,491,299`	0.776	0.224	0.000
rs12153855 lBF = `70.349` Chr`6` : `32,074,804`	0.000	0.224	0.776
rs1233493 lBF = `223.835` Chr`6` : `29,458,241`	0.773	0.227	0.000
rs2239529 lBF = `220.309` Chr`6` : `30,078,330`	0.773	0.227	0.000
rs28732176 lBF = `69.9659` Chr`6` : `32,097,290`	0.000	0.229	0.771
rs17212937 lBF = `111.386` Chr`6` : `32,681,339`	0.771	0.229	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.771	0.229	0.000
rs7749305 lBF = `164.186` Chr`6` : `27,446,566`	0.769	0.231	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.769	0.231	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.768	0.232	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.767	0.233	0.000
rs1233491 lBF = `226.91` Chr`6` : `29,461,730`	0.767	0.233	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.767	0.233	0.000
rs45509595 lBF = `186.765` Chr`6` : `27,840,926`	0.766	0.234	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.766	0.234	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.765	0.235	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.765	0.235	0.000
rs2232423 lBF = `201.397` Chr`6` : `28,366,151`	0.765	0.235	0.000
rs1233489 lBF = `226.669` Chr`6` : `29,463,043`	0.764	0.236	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.763	0.236	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.763	0.237	0.000
rs149990 lBF = `154.644` Chr`6` : `27,998,258`	0.763	0.237	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.763	0.237	0.000
rs442694 lBF = `223.716` Chr`6` : `29,356,687`	0.763	0.237	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.762	0.238	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.761	0.239	0.000
rs2746150 lBF = `227.263` Chr`6` : `29,442,701`	0.760	0.240	0.000
rs2523989 lBF = `221.533` Chr`6` : `30,078,275`	0.759	0.241	0.000
rs2844619 lBF = `160.352` Chr`6` : `31,242,223`	0.759	0.241	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.758	0.242	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	0.758	0.242	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.758	0.242	0.000
rs2523443 lBF = `227.406` Chr`6` : `29,415,464`	0.757	0.243	0.000
rs1535039 lBF = `224.978` Chr`6` : `29,411,432`	0.757	0.243	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.753	0.247	0.000
rs629444 lBF = `92.5054` Chr`6` : `25,885,814`	0.753	0.247	0.000
rs3948793 lBF = `140.872` Chr`6` : `32,759,448`	0.751	0.249	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.751	0.249	0.000
rs6908726 lBF = `198.546` Chr`6` : `28,671,343`	0.750	0.250	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.749	0.251	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.747	0.253	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.747	0.253	0.000
rs9393714 lBF = `136.87` Chr`6` : `26,373,740`	0.746	0.254	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.745	0.255	0.000
rs1979 lBF = `139.093` Chr`6` : `26,377,591`	0.745	0.255	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.744	0.256	0.000
rs9380069 lBF = `143.573` Chr`6` : `28,203,300`	0.743	0.257	0.000
rs74664320 lBF = `6.47555` Chr`6` : `54,203,938`	0.741	0.259	0.000
rs3131073 lBF = `202.423` Chr`6` : `28,920,972`	0.741	0.259	0.000
rs200490 lBF = `163.621` Chr`6` : `27,796,935`	0.740	0.260	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.740	0.260	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.740	0.260	0.000
rs72841509 lBF = `133.609` Chr`6` : `26,368,279`	0.739	0.261	0.000
rs9393705 lBF = `134.475` Chr`6` : `26,361,011`	0.739	0.261	0.000
rs17720293 lBF = `161.024` Chr`6` : `28,214,698`	0.739	0.261	0.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.739	0.261	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.738	0.262	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.738	0.262	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.737	0.263	0.000
rs1233619 lBF = `203.327` Chr`6` : `28,745,452`	0.737	0.263	0.000
rs13198716 lBF = `173.951` Chr`6` : `26,582,035`	0.737	0.263	0.000
rs200953 lBF = `163.948` Chr`6` : `27,837,267`	0.736	0.264	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.736	0.264	0.000
rs55777621 lBF = `10.2606` Chr`6` : `30,584,133`	0.736	0.264	0.000
rs9379855 lBF = `136.857` Chr`6` : `26,364,930`	0.736	0.264	0.000
rs13205911 lBF = `183.282` Chr`6` : `28,124,114`	0.735	0.265	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.734	0.265	0.000
rs200995 lBF = `166.252` Chr`6` : `27,813,694`	0.734	0.266	0.000
rs9358934 lBF = `135.421` Chr`6` : `26,363,755`	0.734	0.266	0.000
rs175597 lBF = `165.738` Chr`6` : `27,810,626`	0.732	0.268	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.731	0.269	0.000
rs9379858 lBF = `135.263` Chr`6` : `26,367,689`	0.731	0.269	0.000
rs6940698 lBF = `103.27` Chr`6` : `25,821,580`	0.731	0.269	0.000
rs200482 lBF = `164.144` Chr`6` : `27,773,904`	0.731	0.269	0.000
rs35555795 lBF = `149.56` Chr`6` : `26,509,382`	0.730	0.270	0.000
rs370155 lBF = `164.302` Chr`6` : `27,782,031`	0.730	0.270	0.000
rs9393708 lBF = `137.887` Chr`6` : `26,362,643`	0.729	0.271	0.000
rs13195040 lBF = `183.66` Chr`6` : `27,413,924`	0.728	0.272	0.000
rs200483 lBF = `168.443` Chr`6` : `27,774,824`	0.728	0.272	0.000
rs3749971 lBF = `211.982` Chr`6` : `29,342,775`	0.726	0.274	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.726	0.274	0.000
rs9468287 lBF = `141.792` Chr`6` : `28,079,741`	0.725	0.275	0.000
rs886420 lBF = `143.699` Chr`6` : `30,879,636`	0.725	0.275	0.000
rs3799380 lBF = `79.7618` Chr`6` : `26,467,182`	0.725	0.275	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.725	0.275	0.000
rs201002 lBF = `166.473` Chr`6` : `27,808,192`	0.724	0.276	0.000
rs404240 lBF = `232.726` Chr`6` : `29,523,957`	0.724	0.276	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.723	0.277	0.000
rs2535332 lBF = `137.95` Chr`6` : `30,813,249`	0.723	0.277	0.000
rs7756567 lBF = `81.6942` Chr`6` : `26,481,642`	0.722	0.278	0.000
rs11753254 lBF = `12.8789` Chr`6` : `51,700,849`	0.721	0.279	0.000
rs9276612 lBF = `140.702` Chr`6` : `32,742,712`	0.721	0.279	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.720	0.280	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.720	0.280	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.720	0.280	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.719	0.281	0.000
rs9467626 lBF = `101.73` Chr`6` : `25,873,746`	0.718	0.282	0.000
rs4324798 lBF = `208.631` Chr`6` : `28,776,117`	0.716	0.284	0.000
rs56296968 lBF = `78.8662` Chr`6` : `26,474,571`	0.716	0.284	0.000
rs9273349 lBF = `389.4` Chr`6` : `32,625,869`	0.716	0.284	0.000
rs154980 lBF = `8.79518` Chr`6` : `32,882,799`	0.715	0.285	0.000
rs3749981 lBF = `57.4317` Chr`6` : `32,862,682`	0.715	0.285	0.000
rs73728794 lBF = `21.7541` Chr`6` : `31,257,194`	0.714	0.286	0.000
rs2093169 lBF = `80.7103` Chr`6` : `26,495,099`	0.714	0.286	0.000
rs9461222 lBF = `92.7631` Chr`6` : `25,905,111`	0.714	0.286	0.000
rs7744381 lBF = `115.071` Chr`6` : `33,081,798`	0.714	0.286	0.000
rs3117439 lBF = `205.088` Chr`6` : `29,266,483`	0.713	0.287	0.000
rs3131343 lBF = `208.216` Chr`6` : `28,775,564`	0.713	0.287	0.000
rs3132580 lBF = `124.975` Chr`6` : `30,920,124`	0.712	0.288	0.000
rs3130782 lBF = `262.171` Chr`6` : `30,914,843`	0.712	0.288	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	0.710	0.290	0.000
rs76941853 lBF = `20.227` Chr`6` : `12,651,314`	0.710	0.290	0.000
rs3734523 lBF = `91.3456` Chr`6` : `25,925,987`	0.710	0.290	0.000
rs73728774 lBF = `20.5089` Chr`6` : `31,252,075`	0.710	0.290	0.000
rs114212906 lBF = `61.1046` Chr`6` : `31,391,389`	0.709	0.290	0.000
rs7748167 lBF = `88.1606` Chr`6` : `25,904,652`	0.709	0.291	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.709	0.291	0.000
rs3132581 lBF = `121.962` Chr`6` : `30,913,458`	0.709	0.291	0.000
rs2523986 lBF = `233.642` Chr`6` : `30,081,246`	0.709	0.291	0.000
rs1324088 lBF = `94.6116` Chr`6` : `25,841,122`	0.708	0.292	0.000
rs3118359 lBF = `213.695` Chr`6` : `28,793,904`	0.708	0.292	0.000
rs9257248 lBF = `208.12` Chr`6` : `28,803,291`	0.708	0.292	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.708	0.292	0.000
rs34525648 lBF = `92.1633` Chr`6` : `25,914,853`	0.707	0.293	0.000
rs3118361 lBF = `208.226` Chr`6` : `28,898,287`	0.706	0.294	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.705	0.295	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.705	0.295	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.704	0.296	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.704	0.296	0.000
rs9257793 lBF = `196.605` Chr`6` : `29,335,154`	0.704	0.296	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.704	0.296	0.000
rs17885382 lBF = `49.2951` Chr`6` : `32,552,095`	0.000	0.297	0.703
rs2535340 lBF = `143.495` Chr`6` : `30,838,497`	0.703	0.297	0.000
rs3130845 lBF = `210.244` Chr`6` : `28,923,367`	0.703	0.297	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.702	0.298	0.000
rs9358945 lBF = `82.4377` Chr`6` : `26,472,114`	0.701	0.299	0.000
rs1165168 lBF = `95.143` Chr`6` : `25,859,508`	0.700	0.300	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.700	0.300	0.000
rs1324087 lBF = `95.6518` Chr`6` : `25,841,408`	0.700	0.300	0.000
rs9358946 lBF = `83.0195` Chr`6` : `26,478,927`	0.699	0.301	0.000
rs7773938 lBF = `81.1762` Chr`6` : `26,474,044`	0.699	0.301	0.000
rs3094086 lBF = `121.587` Chr`6` : `30,919,391`	0.699	0.301	0.000
rs1233604 lBF = `190.369` Chr`6` : `28,734,676`	0.699	0.301	0.000
rs1264341 lBF = `143.565` Chr`6` : `30,802,465`	0.699	0.301	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.698	0.302	0.000
rs9257805 lBF = `191.753` Chr`6` : `29,346,329`	0.696	0.304	0.000
rs1264322 lBF = `144.226` Chr`6` : `30,857,894`	0.696	0.304	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.695	0.304	0.000
rs9467632 lBF = `91.4024` Chr`6` : `25,889,706`	0.695	0.305	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.695	0.305	0.000
rs10484439 lBF = `159.711` Chr`6` : `26,309,908`	0.695	0.305	0.000
rs429479 lBF = `220.258` Chr`6` : `29,372,323`	0.695	0.305	0.000
rs1480382 lBF = `143.186` Chr`6` : `32,740,895`	0.695	0.305	0.000
rs2517597 lBF = `229.843` Chr`6` : `30,081,189`	0.694	0.306	0.000
Affx-28471757 lBF = `171.957` Chr`6` : `32,313,659`	0.694	0.306	0.000
rs3135296 lBF = `190.167` Chr`6` : `28,795,856`	0.693	0.307	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.693	0.307	0.000
rs2523987 lBF = `233.193` Chr`6` : `30,079,993`	0.693	0.307	0.000
rs3132579 lBF = `79.6756` Chr`6` : `30,940,989`	0.693	0.307	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.693	0.307	0.000
rs7767099 lBF = `208.838` Chr`6` : `28,768,698`	0.693	0.307	0.000
rs73728777 lBF = `18.5296` Chr`6` : `31,253,458`	0.693	0.307	0.000
rs886422 lBF = `142.867` Chr`6` : `30,864,279`	0.693	0.307	0.000
rs114652772 lBF = `20.6682` Chr`6` : `31,252,026`	0.689	0.311	0.000
rs548987 lBF = `92.1448` Chr`6` : `25,869,371`	0.689	0.311	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.688	0.312	0.000
rs3131921 lBF = `120.914` Chr`6` : `30,907,335`	0.686	0.314	0.000
rs10484399 lBF = `175.299` Chr`6` : `27,534,528`	0.686	0.314	0.000
rs2294324 lBF = `16.4277` Chr`6` : `166,891,600`	0.685	0.315	0.000
rs9358944 lBF = `80.7116` Chr`6` : `26,469,875`	0.684	0.316	0.000
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rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.580	0.420	0.000
rs2854047 lBF = `77.4353` Chr`6` : `32,179,432`	0.580	0.420	0.000
rs116042783 lBF = `39.2023` Chr`6` : `25,779,000`	0.579	0.420	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.579	0.421	0.000
rs73725220 lBF = `7.2576` Chr`6` : `16,700,060`	0.578	0.421	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.576	0.424	0.000
rs3132541 lBF = `315.764` Chr`6` : `31,098,734`	0.576	0.424	0.000
rs3094054 lBF = `275.225` Chr`6` : `30,333,505`	0.575	0.424	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.574	0.426	0.000
rs3130311 lBF = `166.574` Chr`6` : `32,217,367`	0.574	0.426	0.000
rs1892251 lBF = `87.2869` Chr`6` : `25,769,349`	0.574	0.426	0.000
rs77609157 lBF = `17.2746` Chr`6` : `150,672,660`	0.574	0.426	0.000
rs991760 lBF = `11.5413` Chr`6` : `32,823,567`	0.573	0.427	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	0.573	0.427	0.000
rs2517576 lBF = `219.555` Chr`6` : `30,815,035`	0.571	0.429	0.000
rs114399331 lBF = `82.0446` Chr`6` : `31,397,844`	0.570	0.430	0.000
rs16891315 lBF = `91.5417` Chr`6` : `26,111,756`	0.570	0.430	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.570	0.430	0.000
rs74635050 lBF = `15.419` Chr`6` : `19,632,865`	0.568	0.431	0.000
rs12661281 lBF = `28.6486` Chr`6` : `31,842,598`	0.568	0.432	0.000
rs2844659 lBF = `220.674` Chr`6` : `30,824,532`	0.568	0.432	0.000
rs9267650 lBF = `10.3635` Chr`6` : `31,824,912`	0.567	0.433	0.000
rs115999992 lBF = `81.6793` Chr`6` : `31,348,987`	0.567	0.433	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	0.567	0.433	0.000
rs7750641 lBF = `322.824` Chr`6` : `31,129,310`	0.567	0.433	0.000
rs138394556 lBF = `297.748` Chr`6` : `30,652,782`	0.566	0.434	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.566	0.434	0.000
rs6901575 lBF = `135.155` Chr`6` : `28,250,984`	0.566	0.434	0.000
rs3999471 lBF = `64.737` Chr`6` : `26,650,306`	0.566	0.434	0.000
rs660895 lBF = `476.437` Chr`6` : `32,577,380`	0.565	0.435	0.000
rs8321 lBF = `268.627` Chr`6` : `30,032,522`	0.565	0.435	0.000
rs116447526 lBF = `83.1717` Chr`6` : `31,417,995`	0.564	0.436	0.000
rs117951181 lBF = `15.9596` Chr`6` : `167,523,778`	0.564	0.436	0.000
rs2854050 lBF = `78.2612` Chr`6` : `32,185,605`	0.564	0.436	0.000
rs41268932 lBF = `84.7067` Chr`6` : `32,154,711`	0.563	0.436	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.563	0.437	0.000
rs9261290 lBF = `267.741` Chr`6` : `30,038,647`	0.563	0.437	0.000
rs706901 lBF = `13.0915` Chr`6` : `112,043,599`	0.563	0.437	0.000
rs79165228 lBF = `12.9482` Chr`6` : `34,796,454`	0.562	0.438	0.000
rs116766359 lBF = `84.5183` Chr`6` : `31,407,133`	0.562	0.438	0.000
rs1264319 lBF = `221.853` Chr`6` : `30,862,423`	0.562	0.438	0.000
rs116363196 lBF = `73.8343` Chr`6` : `31,405,472`	0.561	0.439	0.000
rs2596480 lBF = `21.5933` Chr`6` : `31,425,985`	0.000	0.439	0.561
rs2647015 lBF = `51.8138` Chr`6` : `32,664,093`	0.000	0.439	0.561
rs72941843 lBF = `24.4224` Chr`6` : `105,906,081`	0.560	0.440	0.000
rs2516472 lBF = `23.2465` Chr`6` : `31,394,700`	0.000	0.440	0.560
rs6457617 lBF = `192.394` Chr`6` : `32,663,851`	0.559	0.441	0.000
rs116666910 lBF = `89.7108` Chr`6` : `31,327,034`	0.557	0.442	0.000
rs2647014 lBF = `52.8412` Chr`6` : `32,664,279`	0.000	0.443	0.557
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.557	0.443	0.000
rs853679 lBF = `135.932` Chr`6` : `28,296,863`	0.556	0.443	0.000
rs853678 lBF = `135.476` Chr`6` : `28,297,313`	0.555	0.445	0.000
rs114849343 lBF = `85.6629` Chr`6` : `31,400,873`	0.554	0.446	0.000
rs1130838 lBF = `200.175` Chr`6` : `31,237,124`	0.554	0.446	0.000
rs2858870 lBF = `95.1726` Chr`6` : `32,572,251`	0.000	0.446	0.554
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.553	0.447	0.000
rs3130247 lBF = `297.106` Chr`6` : `30,515,043`	0.553	0.447	0.000
rs2247056 lBF = `238.619` Chr`6` : `31,265,490`	0.553	0.447	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.553	0.447	0.000
rs2596460 lBF = `22.7176` Chr`6` : `31,417,510`	0.000	0.447	0.553
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.553	0.447	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.552	0.448	0.000
rs114109373 lBF = `78.3793` Chr`6` : `31,381,205`	0.552	0.448	0.000
rs17200400 lBF = `85.1603` Chr`6` : `31,389,923`	0.551	0.448	0.000
rs2799077 lBF = `126.2` Chr`6` : `28,234,597`	0.551	0.449	0.000
rs2071800 lBF = `74.5962` Chr`6` : `32,714,143`	0.551	0.449	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.550	0.450	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.550	0.450	0.000
rs115434718 lBF = `86.5377` Chr`6` : `31,398,180`	0.550	0.450	0.000
rs9262132 lBF = `302.587` Chr`6` : `30,611,350`	0.550	0.450	0.000
rs521539 lBF = `478.456` Chr`6` : `32,581,973`	0.550	0.450	0.000
rs4452638 lBF = `132.117` Chr`6` : `27,229,265`	0.550	0.450	0.000
rs406936 lBF = `39.5422` Chr`6` : `31,933,161`	0.000	0.451	0.549
rs114842164 lBF = `85.3269` Chr`6` : `31,408,137`	0.549	0.451	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.549	0.451	0.000
rs2517425 lBF = `183.674` Chr`6` : `30,949,670`	0.549	0.451	0.000
rs17206617 lBF = `84.968` Chr`6` : `31,378,640`	0.548	0.452	0.000
rs115827739 lBF = `85.2201` Chr`6` : `31,389,208`	0.548	0.452	0.000
rs3997984 lBF = `89.8675` Chr`6` : `31,351,090`	0.547	0.453	0.000
rs116619302 lBF = `84.8225` Chr`6` : `31,410,274`	0.547	0.453	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.547	0.453	0.000
rs2233956 lBF = `315.31` Chr`6` : `31,081,205`	0.547	0.453	0.000
rs115681000 lBF = `85.9973` Chr`6` : `31,388,386`	0.546	0.454	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.546	0.454	0.000
rs9267958 lBF = `165.497` Chr`6` : `32,214,616`	0.546	0.454	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.546	0.454	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.546	0.454	0.000
rs2596457 lBF = `23.1597` Chr`6` : `31,418,022`	0.000	0.455	0.545

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 X0339

log Bayes Factor = 56.078

contains 2 variants

0.8604

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9920

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.9892

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9862

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9822

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9749

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9747

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9707

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9694

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9632

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9456

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9424

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9413

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9391

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.9230

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9219

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9206

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9173

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9119

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.9111

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9054

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9048

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8889

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8877

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8834

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8771

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8771

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8664

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8662

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.8574

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8561

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8559

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.8494

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8480

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8437

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8261

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8233

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8189

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8153

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.8144

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8119

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8058

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8016

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7917

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.7881

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7875

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.7787

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7708

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7629

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7495

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7442

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7396

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7392

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7308

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7292

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7273

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7233

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.7168

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7008

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.6981

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6707

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6668

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.6667

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6569

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6565

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.6529

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6525

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6511

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6483

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6473

Cluster X0328

log Bayes Factor = 380.087

contains 8 variants

0.6464

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6416

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6394

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6295

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6285

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6233

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6226

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6174

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6169

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.6066

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6003

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.5995

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5947

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5941

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5931

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5846

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.5751

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5741

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5673

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.5615

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.5552

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5508

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.5465

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.5455

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5421

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.5378

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5347

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.5225

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.5197

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.5170

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5164

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5158

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5142

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5107

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5068

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.5057

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4973

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4958

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4952

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.4950

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.4915

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4913

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4832

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.4726

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.4565

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4526

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.4472

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4448

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4394

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4389

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4206

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4179

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4157

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.4157

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.4150

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.4074

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4037

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4022

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3948

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3861

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3820

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3753

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3682

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3401

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3309

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.3243

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3156

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2945

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2926

Cluster X0294

log Bayes Factor = 25.2869

contains 2 variants

0.2778

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.2697

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2465

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.2449

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2438

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.2409

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2390

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2351

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2127

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2102

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2083

Cluster X0303

log Bayes Factor = 29.6251

contains 3 variants

0.2058

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2037

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.1856

Cluster X0228

log Bayes Factor = 196.521

contains 11 variants

0.1824

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.1775

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1570

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.1556

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.1453

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1437

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1417

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.1390

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1288

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1271

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1230

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1230

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1222

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.1206

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.1137

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.1106

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1070

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0999

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.0980

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0928

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.0798

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.0708

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.0696

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.0635

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.0611

Cluster X0038

log Bayes Factor = 31.1234

contains 2 variants

0.0557

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0546

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.0531

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.0528

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0505

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`)