TreeWAS – [M25.71] Osteophyte (Shoulder region)

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
rs891974 lBF = `8.87285` Chr`5` : `170,902,780`	0.934	0.066	0.000
rs11218343 lBF = `9.21158` Chr`11` : `121,435,587`	0.927	0.073	0.000
rs9295702 lBF = `66.9967` Chr`6` : `26,634,040`	0.921	0.079	0.000
rs2702185 lBF = `5.01817` Chr`1` : `183,501,350`	0.919	0.081	0.000
rs549180 lBF = `5.69332` Chr`11` : `122,063,583`	0.915	0.085	0.000
rs11884506 lBF = `5.0488` Chr`2` : `6,753,497`	0.907	0.093	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.899	0.101	0.000
rs9393737 lBF = `67.5687` Chr`6` : `26,617,306`	0.877	0.123	0.000
rs913455 lBF = `82.1024` Chr`6` : `25,420,344`	0.872	0.128	0.000
rs148210763 lBF = `66.5265` Chr`6` : `26,638,503`	0.870	0.130	0.000
rs41277101 lBF = `5.09532` Chr`9` : `36,337,253`	0.862	0.138	0.000
rs3999471 lBF = `64.737` Chr`6` : `26,650,306`	0.861	0.139	0.000
rs7740197 lBF = `63.4771` Chr`6` : `26,663,478`	0.860	0.140	0.000
rs9358944 lBF = `80.7116` Chr`6` : `26,469,875`	0.858	0.142	0.000
rs4634439 lBF = `142.37` Chr`6` : `26,598,004`	0.850	0.150	0.000
rs56296968 lBF = `78.8662` Chr`6` : `26,474,571`	0.849	0.151	0.000
rs3799383 lBF = `132.334` Chr`6` : `26,510,748`	0.847	0.153	0.000
rs9358945 lBF = `82.4377` Chr`6` : `26,472,114`	0.845	0.155	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.845	0.155	0.000
rs9358946 lBF = `83.0195` Chr`6` : `26,478,927`	0.843	0.157	0.000
rs3799380 lBF = `79.7618` Chr`6` : `26,467,182`	0.842	0.158	0.000
rs9379897 lBF = `143.879` Chr`6` : `26,601,526`	0.840	0.160	0.000
rs56356712 lBF = `5.21401` Chr`10` : `60,211,412`	0.839	0.161	0.000
rs34788973 lBF = `164.209` Chr`6` : `27,879,200`	0.838	0.162	0.000
rs7773938 lBF = `81.1762` Chr`6` : `26,474,044`	0.834	0.166	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.834	0.166	0.000
rs2093169 lBF = `80.7103` Chr`6` : `26,495,099`	0.829	0.171	0.000
rs13214027 lBF = `133.595` Chr`6` : `26,573,631`	0.829	0.171	0.000
rs7756567 lBF = `81.6942` Chr`6` : `26,481,642`	0.828	0.172	0.000
rs3734542 lBF = `150.603` Chr`6` : `26,468,326`	0.827	0.173	0.000
rs13195210 lBF = `65.5785` Chr`6` : `26,646,521`	0.827	0.173	0.000
rs35555795 lBF = `149.56` Chr`6` : `26,509,382`	0.825	0.175	0.000
rs2335077 lBF = `7.4893` Chr`1` : `107,573,565`	0.813	0.187	0.000
rs35612407 lBF = `15.4715` Chr`4` : `141,595,197`	0.808	0.192	0.000
rs9393735 lBF = `131.299` Chr`6` : `26,582,327`	0.806	0.194	0.000
rs13211507 lBF = `197.103` Chr`6` : `28,257,377`	0.806	0.194	0.000
rs61864429 lBF = `10.7938` Chr`10` : `119,952,034`	0.804	0.196	0.000
rs13195509 lBF = `149.354` Chr`6` : `26,463,660`	0.802	0.198	0.000
rs2237897 lBF = `14.807` Chr`11` : `2,858,546`	0.800	0.200	0.000
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.799	0.201	0.000
rs67340775 lBF = `199.939` Chr`6` : `28,304,384`	0.799	0.201	0.000
rs77836103 lBF = `14.9637` Chr`2` : `40,783,993`	0.797	0.203	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.797	0.203	0.000
rs12141391 lBF = `1.36552` Chr`1` : `72,274,473`	0.797	0.203	0.000
rs117398912 lBF = `14.5856` Chr`10` : `129,079,151`	0.795	0.204	0.000
rs13413624 lBF = `23.2138` Chr`2` : `151,348,709`	0.792	0.208	0.000
rs2072803 lBF = `139.247` Chr`6` : `26,392,515`	0.785	0.215	0.000
rs17592741 lBF = `11.219` Chr`5` : `153,000,842`	0.784	0.216	0.000
rs13205911 lBF = `183.282` Chr`6` : `28,124,114`	0.784	0.216	0.000
rs73201983 lBF = `17.0806` Chr`13` : `69,140,110`	0.780	0.220	0.000
rs13218875 lBF = `190.478` Chr`6` : `27,884,012`	0.776	0.223	0.000
rs114333031 lBF = `14.2987` Chr`4` : `54,774,510`	0.775	0.225	0.000
rs302972 lBF = `19.5862` Chr`6` : `25,120,787`	0.775	0.225	0.000
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.774	0.226	0.000
rs3734543 lBF = `141.479` Chr`6` : `26,468,545`	0.766	0.234	0.000
rs59735097 lBF = `7.95782` Chr`2` : `70,398,587`	0.766	0.234	0.000
rs61729951 lBF = `15.1399` Chr`8` : `10,532,188`	0.766	0.234	0.000
rs8032939 lBF = `12.26` Chr`15` : `38,834,033`	0.763	0.237	0.000
rs12676637 lBF = `6.77263` Chr`8` : `15,770,661`	0.762	0.238	0.000
rs12722598 lBF = `17.1765` Chr`10` : `6,055,150`	0.760	0.240	0.000
rs41527949 lBF = `5.62004` Chr`3` : `97,728,775`	0.757	0.243	0.000
rs34592089 lBF = `21.2227` Chr`4` : `102,926,923`	0.757	0.243	0.000
rs11073333 lBF = `10.1344` Chr`15` : `38,820,647`	0.757	0.243	0.000
rs9835374 lBF = `8.43592` Chr`3` : `143,647,311`	0.756	0.244	0.000
rs35518360 lBF = `28.5071` Chr`4` : `103,146,890`	0.753	0.247	0.000
rs79526833 lBF = `14.9063` Chr`4` : `107,571,662`	0.752	0.248	0.000
rs62414610 lBF = `19.516` Chr`6` : `42,559,926`	0.750	0.250	0.000
rs6072648 lBF = `16.3725` Chr`20` : `40,821,819`	0.749	0.251	0.000
rs13217619 lBF = `199.852` Chr`6` : `28,306,671`	0.744	0.256	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.743	0.257	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.743	0.257	0.000
rs77090108 lBF = `11.3929` Chr`18` : `56,080,241`	0.743	0.257	0.000
rs55834529 lBF = `176.219` Chr`6` : `27,072,542`	0.742	0.258	0.000
rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.742	0.258	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.742	0.258	0.000
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.741	0.259	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.740	0.260	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.740	0.260	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.739	0.261	0.000
rs17639656 lBF = `16.0288` Chr`10` : `119,493,705`	0.738	0.262	0.000
rs113512166 lBF = `13.8719` Chr`6` : `30,733,489`	0.738	0.262	0.000
rs199055 lBF = `13.8929` Chr`6` : `23,490,117`	0.738	0.262	0.000
rs74455117 lBF = `11.9446` Chr`6` : `30,729,852`	0.736	0.264	0.000
rs3116830 lBF = `213.214` Chr`6` : `29,167,575`	0.735	0.265	0.000
rs16854874 lBF = `12.5904` Chr`3` : `143,774,531`	0.734	0.266	0.000
rs3117143 lBF = `207.034` Chr`6` : `29,031,142`	0.734	0.266	0.000
rs115939538 lBF = `12.0345` Chr`3` : `65,724,409`	0.733	0.266	0.000
rs80008812 lBF = `14.3141` Chr`19` : `53,500,544`	0.733	0.267	0.000
rs79831841 lBF = `13.7642` Chr`6` : `30,734,309`	0.733	0.267	0.000
rs3129791 lBF = `212.141` Chr`6` : `28,954,293`	0.732	0.268	0.000
rs79257513 lBF = `6.25159` Chr`3` : `55,862,777`	0.731	0.269	0.000
rs33932084 lBF = `193.061` Chr`6` : `28,268,824`	0.731	0.269	0.000
rs72802696 lBF = `11.2561` Chr`5` : `153,100,027`	0.731	0.269	0.000
rs117127635 lBF = `12.0334` Chr`18` : `56,130,563`	0.731	0.269	0.000
rs13207082 lBF = `171.541` Chr`6` : `27,251,379`	0.730	0.270	0.000
rs72677506 lBF = `17.2748` Chr`4` : `99,846,769`	0.730	0.270	0.000
rs77386029 lBF = `19.4286` Chr`6` : `24,998,665`	0.728	0.272	0.000
rs7403531 lBF = `8.61662` Chr`15` : `38,822,905`	0.726	0.274	0.000
rs13135092 lBF = `37.6514` Chr`4` : `103,198,082`	0.725	0.275	0.000
rs61742093 lBF = `190.261` Chr`6` : `27,879,982`	0.725	0.275	0.000
rs41266839 lBF = `173.744` Chr`6` : `26,409,890`	0.721	0.279	0.000
rs79758531 lBF = `13.2883` Chr`6` : `30,736,010`	0.720	0.280	0.000
rs78216664 lBF = `7.58546` Chr`8` : `32,068,317`	0.719	0.281	0.000
rs13197574 lBF = `194.513` Chr`6` : `28,060,239`	0.718	0.282	0.000
rs79294993 lBF = `19.4903` Chr`18` : `48,600,991`	0.718	0.282	0.000
rs117297586 lBF = `6.19757` Chr`8` : `50,205,976`	0.717	0.283	0.000
rs17496332 lBF = `5.12119` Chr`1` : `107,546,375`	0.717	0.283	0.000
rs9258593 lBF = `108.321` Chr`6` : `29,819,599`	0.717	0.283	0.000
rs76050622 lBF = `12.2442` Chr`11` : `124,146,251`	0.717	0.283	0.000
rs7024058 lBF = `17.5874` Chr`9` : `1,938,082`	0.715	0.285	0.000
rs76160395 lBF = `18.7233` Chr`20` : `17,492,960`	0.714	0.286	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.714	0.286	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.713	0.287	0.000
rs3130834 lBF = `217.35` Chr`6` : `29,248,149`	0.713	0.287	0.000
rs79156452 lBF = `15.6605` Chr`3` : `188,651,313`	0.712	0.288	0.000
rs9444453 lBF = `11.4696` Chr`6` : `87,599,030`	0.710	0.290	0.000
rs144447022 lBF = `217.73` Chr`6` : `29,244,219`	0.709	0.291	0.000
rs34773007 lBF = `1.15995` Chr`10` : `94,658,207`	0.706	0.294	0.000
rs12496072 lBF = `7.1215` Chr`3` : `55,985,751`	0.705	0.295	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.704	0.296	0.000
rs13198474 lBF = `116.097` Chr`6` : `25,874,423`	0.704	0.296	0.000
rs3025144 lBF = `17.2455` Chr`7` : `24,273,159`	0.703	0.297	0.000
rs3130893 lBF = `213.192` Chr`6` : `28,980,707`	0.703	0.297	0.000
rs55749608 lBF = `15.2225` Chr`17` : `3,800,118`	0.702	0.298	0.000
rs10484399 lBF = `175.299` Chr`6` : `27,534,528`	0.702	0.298	0.000
rs115557540 lBF = `7.70262` Chr`1` : `76,135,849`	0.702	0.298	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.702	0.298	0.000
rs78882373 lBF = `14.656` Chr`2` : `150,846,305`	0.700	0.300	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.700	0.300	0.000
rs75004325 lBF = `14.3185` Chr`9` : `73,586,372`	0.699	0.301	0.000
rs3129788 lBF = `213.388` Chr`6` : `29,057,639`	0.699	0.301	0.000
rs13217108 lBF = `12.4741` Chr`6` : `31,795,140`	0.698	0.302	0.000
rs17501838 lBF = `24.4925` Chr`1` : `40,146,930`	0.696	0.304	0.000
rs480688 lBF = `5.54142` Chr`3` : `165,417,999`	0.695	0.305	0.000
rs17819756 lBF = `24.075` Chr`10` : `62,370,465`	0.694	0.305	0.000
rs62373930 lBF = `13.2438` Chr`5` : `116,551,588`	0.694	0.306	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.694	0.306	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.693	0.307	0.000
rs115604765 lBF = `12.8648` Chr`5` : `151,393,653`	0.693	0.307	0.000
rs35512961 lBF = `13.4677` Chr`1` : `65,151,699`	0.693	0.307	0.000
rs75270276 lBF = `17.6361` Chr`6` : `168,552,585`	0.693	0.307	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.691	0.308	0.000
rs117464696 lBF = `17.5198` Chr`7` : `1,493,376`	0.691	0.309	0.000
rs116920450 lBF = `24.9206` Chr`17` : `48,653,130`	0.691	0.309	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.690	0.310	0.000
rs77483984 lBF = `15.0429` Chr`10` : `78,295,260`	0.688	0.312	0.000
rs74399042 lBF = `17.8814` Chr`1` : `16,581,325`	0.688	0.312	0.000
rs72989948 lBF = `6.41429` Chr`6` : `149,448,694`	0.687	0.313	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.687	0.313	0.000
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.686	0.314	0.000
rs75840590 lBF = `14.2432` Chr`7` : `124,290,877`	0.686	0.314	0.000
rs16891264 lBF = `98.1636` Chr`6` : `26,072,445`	0.686	0.314	0.000
rs117867136 lBF = `13.2639` Chr`13` : `68,500,982`	0.684	0.316	0.000
rs62242686 lBF = `11.9408` Chr`3` : `38,349,391`	0.678	0.322	0.000
rs35446494 lBF = `7.95755` Chr`12` : `119,533,218`	0.678	0.322	0.000
rs13126505 lBF = `11.7035` Chr`4` : `102,865,304`	0.678	0.322	0.000
rs3130837 lBF = `209.57` Chr`6` : `28,948,092`	0.678	0.322	0.000
rs3130838 lBF = `210.533` Chr`6` : `28,866,528`	0.677	0.323	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.676	0.324	0.000
rs78547629 lBF = `16.0951` Chr`7` : `145,920,329`	0.675	0.325	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.674	0.326	0.000
rs114979482 lBF = `13.698` Chr`6` : `10,702,849`	0.673	0.327	0.000
rs117413168 lBF = `15.6145` Chr`6` : `126,759,473`	0.672	0.328	0.000
rs78141093 lBF = `15.0604` Chr`2` : `27,502,134`	0.671	0.328	0.000
rs116509458 lBF = `18.3424` Chr`5` : `68,130,358`	0.671	0.329	0.000
rs74986928 lBF = `18.9208` Chr`1` : `66,004,665`	0.671	0.329	0.000
rs72778328 lBF = `12.2495` Chr`10` : `18,270,341`	0.671	0.329	0.000
rs17749927 lBF = `176.254` Chr`6` : `27,669,976`	0.671	0.329	0.000
rs4134947 lBF = `11.4935` Chr`6` : `20,483,770`	0.670	0.330	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.669	0.331	0.000
rs76780915 lBF = `23.1888` Chr`7` : `145,876,658`	0.669	0.331	0.000
rs78398654 lBF = `15.7471` Chr`4` : `150,201,307`	0.668	0.332	0.000
rs2517861 lBF = `101.976` Chr`6` : `29,821,982`	0.668	0.332	0.000
rs2237896 lBF = `9.57157` Chr`11` : `2,858,440`	0.668	0.332	0.000
rs3118357 lBF = `210.247` Chr`6` : `28,802,149`	0.668	0.332	0.000
rs396660 lBF = `56.4257` Chr`6` : `29,646,165`	0.668	0.332	0.000
rs62532816 lBF = `24.7031` Chr`8` : `132,554,452`	0.667	0.333	0.000
rs12186945 lBF = `13.9379` Chr`5` : `124,600,310`	0.667	0.333	0.000
rs117865496 lBF = `10.969` Chr`11` : `895,490`	0.667	0.333	0.000
rs115037785 lBF = `21.7029` Chr`2` : `29,341,753`	0.667	0.333	0.000
rs17033506 lBF = `6.61563` Chr`3` : `35,639,826`	0.667	0.333	0.000
rs12176317 lBF = `138.293` Chr`6` : `26,372,786`	0.667	0.333	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.666	0.334	0.000
rs36024204 lBF = `18.7188` Chr`2` : `167,376,031`	0.664	0.336	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.663	0.336	0.000
rs78342332 lBF = `7.79538` Chr`13` : `95,049,165`	0.663	0.337	0.000
rs13212534 lBF = `117.616` Chr`6` : `25,983,010`	0.661	0.339	0.000
rs115998140 lBF = `13.5717` Chr`2` : `29,270,537`	0.660	0.340	0.000
rs200831400 lBF = `23.4136` Chr`5` : `157,236,596`	0.660	0.340	0.000
rs7551672 lBF = `7.66104` Chr`1` : `237,262,184`	0.658	0.342	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.658	0.342	0.000
rs45509595 lBF = `186.765` Chr`6` : `27,840,926`	0.658	0.342	0.000
rs117334775 lBF = `14.7836` Chr`10` : `124,831,654`	0.657	0.343	0.000
rs113995789 lBF = `13.7326` Chr`1` : `180,282,708`	0.657	0.343	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.657	0.343	0.000
rs190627217 lBF = `13.7219` Chr`17` : `45,811,915`	0.656	0.344	0.000
rs117987208 lBF = `12.4424` Chr`13` : `101,245,012`	0.656	0.344	0.000
rs2747430 lBF = `57.6451` Chr`6` : `29,648,506`	0.655	0.345	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.655	0.345	0.000
rs3117425 lBF = `206.73` Chr`6` : `29,260,431`	0.655	0.345	0.000
rs6067711 lBF = `13.2611` Chr`20` : `49,895,571`	0.654	0.346	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.654	0.346	0.000
rs9257809 lBF = `220.028` Chr`6` : `29,356,331`	0.653	0.347	0.000
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rs56360506 lBF = `10.2114` Chr`12` : `53,222,800`	0.586	0.414	0.000
rs139587602 lBF = `19.3926` Chr`6` : `31,210,279`	0.586	0.414	0.000
rs2112095 lBF = `10.2299` Chr`2` : `41,229,015`	0.585	0.415	0.000
rs78801169 lBF = `14.2444` Chr`2` : `167,872,932`	0.585	0.415	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.585	0.415	0.000
rs191655746 lBF = `3.59071` Chr`2` : `80,794,915`	0.585	0.415	0.000
rs115555031 lBF = `15.0191` Chr`1` : `240,726,984`	0.585	0.415	0.000
rs76610801 lBF = `26.3212` Chr`4` : `185,937,527`	0.585	0.415	0.000
rs9379851 lBF = `132.223` Chr`6` : `26,354,780`	0.585	0.415	0.000
rs11784918 lBF = `15.2667` Chr`8` : `24,457,456`	0.585	0.415	0.000
rs78227251 lBF = `17.4957` Chr`2` : `88,977,848`	0.584	0.415	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.584	0.416	0.000
rs115190431 lBF = `20.4755` Chr`2` : `42,468,603`	0.584	0.416	0.000
rs185158884 lBF = `1.32773` Chr`7` : `21,014,993`	0.584	0.416	0.000
rs117141652 lBF = `13.9446` Chr`6` : `112,465,118`	0.584	0.416	0.000
rs17199964 lBF = `7.22049` Chr`4` : `102,707,791`	0.583	0.417	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.583	0.417	0.000
rs9379859 lBF = `137.014` Chr`6` : `26,369,549`	0.583	0.417	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.583	0.417	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.583	0.417	0.000
rs35917620 lBF = `15.5394` Chr`11` : `128,051,163`	0.582	0.418	0.000
rs113308315 lBF = `24.4022` Chr`7` : `49,916,006`	0.581	0.418	0.000
rs5013088 lBF = `102.704` Chr`6` : `29,820,389`	0.581	0.419	0.000
rs13194504 lBF = `204.013` Chr`6` : `28,630,691`	0.581	0.419	0.000
rs117708929 lBF = `24.4858` Chr`6` : `124,879,601`	0.581	0.419	0.000
rs116578934 lBF = `13.215` Chr`1` : `85,581,898`	0.580	0.419	0.000
rs77525326 lBF = `11.6055` Chr`5` : `95,445,855`	0.580	0.419	0.000
rs79002142 lBF = `11.7979` Chr`12` : `85,143,591`	0.580	0.420	0.000
rs114475062 lBF = `14.2174` Chr`6` : `31,127,745`	0.580	0.420	0.000
rs1311918 lBF = `208.355` Chr`6` : `28,753,646`	0.580	0.420	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.579	0.421	0.000
rs74367560 lBF = `21.2296` Chr`3` : `32,019,627`	0.578	0.422	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.578	0.422	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.578	0.422	0.000
rs112161290 lBF = `22.7791` Chr`7` : `37,129,797`	0.578	0.422	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.578	0.422	0.000
rs61948673 lBF = `13.993` Chr`13` : `47,517,450`	0.577	0.423	0.000
rs111697632 lBF = `12.245` Chr`7` : `101,274,811`	0.577	0.423	0.000
rs2734970 lBF = `170.234` Chr`6` : `29,834,472`	0.577	0.423	0.000
rs9393713 lBF = `140.003` Chr`6` : `26,373,678`	0.577	0.423	0.000
rs16932455 lBF = `11.1027` Chr`11` : `16,040,175`	0.576	0.423	0.000
rs35650677 lBF = `25.285` Chr`6` : `22,078,097`	0.576	0.424	0.000
rs61868799 lBF = `15.1871` Chr`11` : `1,905,880`	0.576	0.424	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.576	0.424	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.575	0.425	0.000
rs10490877 lBF = `11.5182` Chr`3` : `188,654,595`	0.575	0.425	0.000
rs76400623 lBF = `21.2518` Chr`13` : `60,590,751`	0.575	0.425	0.000
rs80314069 lBF = `14.1714` Chr`2` : `194,597,305`	0.575	0.425	0.000
rs35531140 lBF = `12.5071` Chr`18` : `41,157,177`	0.575	0.425	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.575	0.425	0.000
rs7453498 lBF = `257.298` Chr`6` : `32,446,717`	0.575	0.425	0.000
rs138325697 lBF = `2.99756` Chr`1` : `194,689,514`	0.575	0.425	0.000
rs71417845 lBF = `3.32209` Chr`14` : `103,677,240`	0.575	0.425	0.000
rs3129039 lBF = `100.182` Chr`6` : `29,658,864`	0.574	0.426	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.574	0.426	0.000
rs138355804 lBF = `3.1184` Chr`4` : `30,402,249`	0.574	0.426	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.573	0.427	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.573	0.427	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.572	0.427	0.000
rs1243507 lBF = `18.6876` Chr`14` : `95,314,433`	0.572	0.427	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.572	0.428	0.000
rs78617412 lBF = `16.3256` Chr`10` : `78,287,671`	0.572	0.428	0.000
rs114096014 lBF = `14.0576` Chr`2` : `124,176,013`	0.572	0.428	0.000
rs117066666 lBF = `16.3713` Chr`13` : `104,588,913`	0.572	0.428	0.000
rs11964561 lBF = `3.6893` Chr`6` : `8,169,800`	0.572	0.428	0.000
rs35042707 lBF = `15.0584` Chr`17` : `33,861,639`	0.572	0.428	0.000
rs76744071 lBF = `5.63842` Chr`4` : `175,950,596`	0.571	0.428	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.571	0.429	0.000
rs76814966 lBF = `14.8473` Chr`1` : `88,617,092`	0.571	0.429	0.000
rs75376680 lBF = `19.3682` Chr`3` : `18,052,434`	0.571	0.429	0.000
rs77760113 lBF = `23.76` Chr`13` : `60,787,066`	0.570	0.430	0.000
rs35383149 lBF = `9.98272` Chr`1` : `63,872,032`	0.570	0.430	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.570	0.430	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.569	0.431	0.000
rs75112989 lBF = `155.723` Chr`1` : `169,099,137`	0.568	0.432	0.000
rs28446907 lBF = `22.322` Chr`5` : `109,149,543`	0.568	0.432	0.000
rs7717123 lBF = `17.6012` Chr`5` : `118,782,723`	0.568	0.432	0.000
rs111964182 lBF = `16.7459` Chr`1` : `84,193,142`	0.567	0.433	0.000
rs72742683 lBF = `12.2212` Chr`1` : `197,554,943`	0.567	0.433	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.566	0.434	0.000
rs2647045 lBF = `95.9667` Chr`6` : `32,668,100`	0.566	0.434	0.000
rs80160299 lBF = `15.0308` Chr`12` : `66,159,224`	0.566	0.434	0.000
rs9531710 lBF = `11.0604` Chr`13` : `85,686,069`	0.566	0.434	0.000
rs79365858 lBF = `17.7509` Chr`5` : `155,222,667`	0.566	0.434	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.565	0.435	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.565	0.435	0.000
rs61876800 lBF = `14.7878` Chr`11` : `9,551,310`	0.565	0.435	0.000
rs41545339 lBF = `26.485` Chr`6` : `31,323,707`	0.564	0.435	0.000
rs72737088 lBF = `5.75905` Chr`9` : `75,863,247`	0.564	0.435	0.000
rs76655434 lBF = `20.9981` Chr`5` : `107,720,033`	0.563	0.436	0.000
rs79237515 lBF = `4.93995` Chr`1` : `194,549,026`	0.563	0.437	0.000
rs3131783 lBF = `113.654` Chr`6` : `30,932,068`	0.563	0.437	0.000
rs114969413 lBF = `34.4385` Chr`6` : `31,925,679`	0.563	0.437	0.000
rs12371484 lBF = `19.7008` Chr`12` : `111,872,722`	0.563	0.437	0.000
rs1633063 lBF = `101.823` Chr`6` : `29,726,046`	0.563	0.437	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 X0029

log Bayes Factor = 709.102

contains 23 variants

0.9822

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9821

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9814

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.9794

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.9772

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9577

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9556

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.9481

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9385

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9317

Cluster X0160

log Bayes Factor = 99.5328

contains 9 variants

0.9271

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9258

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9256

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9201

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.9021

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8989

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8964

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.8947

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8903

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.8866

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8856

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8761

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8611

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8576

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.8568

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8540

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8524

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.8472

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8342

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8235

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8220

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.8189

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8177

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8154

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8031

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8028

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.7983

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7949

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7905

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7891

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7862

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7843

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7833

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7788

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7736

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7673

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7625

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7572

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7513

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7430

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7397

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7327

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7214

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.7201

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7164

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.7125

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7117

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6944

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6924

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6814

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6712

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6706

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6654

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.6610

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6604

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6538

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.6520

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.6447

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6432

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6418

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.6396

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6363

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6300

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.6238

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.6124

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6122

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6092

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5982

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5864

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5793

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5770

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5728

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5625

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5572

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5563

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5507

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5366

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.5251

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5098

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5086

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4955

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4907

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.4885

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4858

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4630

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.4609

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.4404

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4342

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3883

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3863

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3816

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.3749

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3718

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3691

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3558

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.3544

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.3466

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3453

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3438

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3354

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.3340

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3285

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3282

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3227

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.2983

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2939

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2754

Cluster X0101

log Bayes Factor = 45.9023

contains 7 variants

0.2631

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.2603

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2510

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2482

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.2449

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.2326

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.2251

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.2115

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2083

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.2035

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2000

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1827

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.1803

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.1709

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1694

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.1662

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.1544

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.1544

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.1460

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1344

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.1338

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1334

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1211

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.1090

Cluster X0190

log Bayes Factor = 15.3889

contains 2 variants

0.0980

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.0969

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.0956

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.0931

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.0914

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0886

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.0842

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.0763

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.0729

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.0724

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0672

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.0560

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.0530

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.0508

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`)