TreeWAS – [E65] Localised adiposity

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
rs633715 lBF = `2.41811` Chr`1` : `177,852,580`	0.873	0.127	0.000
rs7275460 lBF = `9.35732` Chr`21` : `41,447,058`	0.859	0.141	0.000
rs7089656 lBF = `10.3905` Chr`10` : `22,284,140`	0.856	0.144	0.000
rs543874 lBF = `2.83723` Chr`1` : `177,889,480`	0.856	0.144	0.000
rs2259435 lBF = `31.1222` Chr`6` : `31,496,915`	0.855	0.145	0.000
rs2516489 lBF = `32.5039` Chr`6` : `31,488,038`	0.851	0.149	0.000
rs516636 lBF = `1.85041` Chr`1` : `177,855,517`	0.851	0.149	0.000
rs2516478 lBF = `31.7187` Chr`6` : `31,498,737`	0.849	0.151	0.000
rs11031136 lBF = `10.8742` Chr`11` : `4,169,663`	0.848	0.152	0.000
rs2523503 lBF = `34.5631` Chr`6` : `31,513,559`	0.848	0.152	0.000
rs12412193 lBF = `8.6188` Chr`10` : `82,426,438`	0.847	0.153	0.000
rs574367 lBF = `1.81025` Chr`1` : `177,873,210`	0.847	0.153	0.000
rs17817964 lBF = `47.4145` Chr`16` : `53,828,066`	0.847	0.153	0.000
rs3751812 lBF = `47.8875` Chr`16` : `53,818,460`	0.845	0.155	0.000
rs7202116 lBF = `47.5465` Chr`16` : `53,821,615`	0.844	0.156	0.000
rs7185735 lBF = `46.8879` Chr`16` : `53,822,651`	0.844	0.156	0.000
rs8050136 lBF = `48.0125` Chr`16` : `53,816,275`	0.844	0.156	0.000
rs11075990 lBF = `46.9399` Chr`16` : `53,819,893`	0.844	0.156	0.000
rs9936385 lBF = `46.8713` Chr`16` : `53,819,169`	0.844	0.156	0.000
rs9939609 lBF = `46.8182` Chr`16` : `53,820,527`	0.843	0.156	0.000
rs7193144 lBF = `46.8679` Chr`16` : `53,810,686`	0.843	0.157	0.000
rs62033400 lBF = `46.7329` Chr`16` : `53,811,788`	0.842	0.158	0.000
rs8043757 lBF = `46.2997` Chr`16` : `53,813,450`	0.841	0.159	0.000
rs10913469 lBF = `2.18908` Chr`1` : `177,913,519`	0.841	0.159	0.000
rs16999204 lBF = `7.39147` Chr`21` : `41,416,066`	0.839	0.161	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.833	0.167	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.833	0.167	0.000
rs13021737 lBF = `8.48861` Chr`2` : `632,348`	0.832	0.168	0.000
rs6755502 lBF = `8.44259` Chr`2` : `635,721`	0.831	0.168	0.000
rs73174703 lBF = `9.45524` Chr`3` : `174,408,711`	0.829	0.171	0.000
rs429608 lBF = `12.1711` Chr`6` : `31,930,462`	0.000	0.173	0.827
rs734597 lBF = `2.38668` Chr`6` : `50,836,279`	0.826	0.174	0.000
rs2251824 lBF = `33.847` Chr`6` : `31,511,857`	0.826	0.174	0.000
rs2009658 lBF = `34.5004` Chr`6` : `31,538,244`	0.825	0.175	0.000
rs10190052 lBF = `8.27588` Chr`2` : `646,674`	0.825	0.175	0.000
rs10189761 lBF = `8.27588` Chr`2` : `646,364`	0.825	0.175	0.000
rs4854349 lBF = `8.30456` Chr`2` : `647,861`	0.824	0.175	0.000
rs987237 lBF = `3.90668` Chr`6` : `50,803,050`	0.823	0.177	0.000
rs2523506 lBF = `32.8524` Chr`6` : `31,509,967`	0.822	0.178	0.000
rs6711012 lBF = `7.78343` Chr`2` : `624,034`	0.822	0.178	0.000
rs12149832 lBF = `42.7014` Chr`16` : `53,842,908`	0.821	0.179	0.000
rs117655798 lBF = `13.1918` Chr`18` : `27,437,530`	0.821	0.179	0.000
rs2903492 lBF = `7.63293` Chr`2` : `624,678`	0.820	0.180	0.000
rs939583 lBF = `7.63293` Chr`2` : `622,531`	0.820	0.180	0.000
rs17817449 lBF = `46.9922` Chr`16` : `53,813,367`	0.818	0.182	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.817	0.183	0.000
rs2844482 lBF = `34.6959` Chr`6` : `31,539,767`	0.817	0.183	0.000
rs12463617 lBF = `7.21962` Chr`2` : `629,244`	0.813	0.187	0.000
rs13393304 lBF = `8.54087` Chr`2` : `637,830`	0.000	0.187	0.813
rs2867125 lBF = `7.17412` Chr`2` : `622,827`	0.000	0.189	0.811
rs11127485 lBF = `6.96216` Chr`2` : `632,028`	0.000	0.189	0.811
rs2523512 lBF = `33.456` Chr`6` : `31,506,801`	0.810	0.190	0.000
rs2207139 lBF = `2.26807` Chr`6` : `50,845,490`	0.810	0.190	0.000
rs6548238 lBF = `7.38658` Chr`2` : `634,905`	0.000	0.191	0.809
rs3835263 lBF = `37.1677` Chr`1` : `114,240,319`	0.807	0.193	0.000
rs61947646 lBF = `2.85202` Chr`13` : `38,934,077`	0.806	0.194	0.000
rs2206277 lBF = `3.41596` Chr`6` : `50,798,526`	0.802	0.198	0.000
rs75562644 lBF = `16.3598` Chr`11` : `132,992,755`	0.800	0.200	0.000
rs1146187 lBF = `37.7682` Chr`1` : `114,212,571`	0.800	0.200	0.000
rs114223527 lBF = `11.6609` Chr`4` : `185,652,827`	0.800	0.200	0.000
rs12356674 lBF = `32.1341` Chr`10` : `21,889,083`	0.800	0.200	0.000
rs2947411 lBF = `7.37691` Chr`2` : `614,168`	0.000	0.201	0.799
rs9260761 lBF = `65.1425` Chr`6` : `29,935,469`	0.799	0.201	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.797	0.203	0.000
rs114198037 lBF = `25.2397` Chr`2` : `76,924,347`	0.797	0.203	0.000
rs117520190 lBF = `16.2172` Chr`9` : `98,903,902`	0.796	0.204	0.000
rs374186 lBF = `10.5687` Chr`4` : `108,213,692`	0.795	0.205	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.791	0.209	0.000
rs7561317 lBF = `7.75616` Chr`2` : `644,953`	0.000	0.213	0.787
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.785	0.215	0.000
rs9941349 lBF = `46.4333` Chr`16` : `53,825,488`	0.784	0.216	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.783	0.217	0.000
rs2853926 lBF = `83.1612` Chr`6` : `31,263,051`	0.000	0.218	0.782
rs9469913 lBF = `16.491` Chr`6` : `34,827,085`	0.782	0.218	0.000
rs12536985 lBF = `30.6778` Chr`7` : `18,396,960`	0.782	0.218	0.000
rs3893259 lBF = `65.4367` Chr`6` : `29,934,454`	0.781	0.219	0.000
rs11012732 lBF = `26.3769` Chr`10` : `21,830,104`	0.779	0.221	0.000
rs1230666 lBF = `94.679` Chr`1` : `114,173,410`	0.000	0.222	0.778
rs13105680 lBF = `13.3557` Chr`4` : `108,280,221`	0.776	0.224	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.774	0.225	0.000
rs362307 lBF = `11.8771` Chr`4` : `3,241,845`	0.773	0.226	0.000
rs17738750 lBF = `24.3534` Chr`6` : `51,267,355`	0.773	0.227	0.000
rs72649226 lBF = `15.4053` Chr`8` : `64,550,665`	0.773	0.227	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.767	0.233	0.000
rs11807189 lBF = `12.6299` Chr`1` : `223,847,699`	0.766	0.234	0.000
rs9922619 lBF = `40.3298` Chr`16` : `53,831,771`	0.765	0.235	0.000
rs1243180 lBF = `32.9281` Chr`10` : `21,915,619`	0.765	0.235	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.764	0.236	0.000
rs16894959 lBF = `30.3222` Chr`6` : `34,825,662`	0.763	0.237	0.000
rs4959036 lBF = `65.6181` Chr`6` : `29,936,135`	0.762	0.238	0.000
rs9469890 lBF = `33.5115` Chr`6` : `34,763,982`	0.760	0.240	0.000
rs114144436 lBF = `12.5218` Chr`17` : `2,832,984`	0.759	0.241	0.000
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.759	0.241	0.000
rs2523545 lBF = `78.3003` Chr`6` : `31,333,499`	0.000	0.241	0.759
rs62182123 lBF = `11.1039` Chr`2` : `219,262,887`	0.757	0.243	0.000
rs9930506 lBF = `40.5758` Chr`16` : `53,830,465`	0.757	0.243	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.756	0.244	0.000
rs2523557 lBF = `89.8237` Chr`6` : `31,331,257`	0.755	0.245	0.000
rs76945808 lBF = `12.1786` Chr`6` : `12,720,811`	0.755	0.245	0.000
rs77620323 lBF = `16.5538` Chr`2` : `198,625,141`	0.754	0.246	0.000
rs2238664 lBF = `17.927` Chr`19` : `19,258,385`	0.754	0.246	0.000
rs9263740 lBF = `20.6549` Chr`6` : `31,111,400`	0.000	0.249	0.751
rs10828249 lBF = `26.8646` Chr`10` : `21,824,727`	0.751	0.249	0.000
rs2596551 lBF = `27.6033` Chr`6` : `31,332,239`	0.000	0.249	0.751
rs2766122 lBF = `13.0442` Chr`6` : `51,549,912`	0.750	0.250	0.000
rs72882047 lBF = `8.84333` Chr`6` : `33,628,307`	0.750	0.250	0.000
rs76521925 lBF = `12.5137` Chr`7` : `47,706,389`	0.750	0.250	0.000
rs2814993 lBF = `37.1636` Chr`6` : `34,618,893`	0.749	0.251	0.000
rs1050602 lBF = `18.9048` Chr`3` : `115,439,578`	0.748	0.252	0.000
rs7098100 lBF = `24.7582` Chr`10` : `21,834,536`	0.748	0.252	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.746	0.254	0.000
rs76099073 lBF = `14.0842` Chr`10` : `54,234,770`	0.746	0.254	0.000
rs72722108 lBF = `19.2492` Chr`1` : `95,589,180`	0.745	0.255	0.000
rs79969149 lBF = `11.2075` Chr`17` : `26,270,925`	0.744	0.255	0.000
rs3761936 lBF = `60.4266` Chr`1` : `114,449,662`	0.744	0.255	0.000
rs114361094 lBF = `23.0255` Chr`3` : `32,794,806`	0.744	0.256	0.000
rs114584378 lBF = `15.7188` Chr`2` : `193,298,755`	0.743	0.257	0.000
rs6938239 lBF = `34.3464` Chr`6` : `34,683,635`	0.741	0.259	0.000
rs411337 lBF = `9.11326` Chr`6` : `32,077,380`	0.000	0.259	0.741
rs2744971 lBF = `35.63` Chr`6` : `34,581,636`	0.738	0.262	0.000
rs9469084 lBF = `9.39069` Chr`6` : `32,080,383`	0.000	0.262	0.738
rs2814944 lBF = `36.7641` Chr`6` : `34,552,797`	0.737	0.263	0.000
rs73042964 lBF = `18.4255` Chr`11` : `130,267,935`	0.737	0.263	0.000
rs204888 lBF = `8.62624` Chr`6` : `32,089,142`	0.000	0.264	0.736
rs78895459 lBF = `11.7915` Chr`7` : `53,781,545`	0.736	0.264	0.000
rs77335750 lBF = `14.1372` Chr`21` : `37,579,120`	0.734	0.266	0.000
rs2183271 lBF = `21.2295` Chr`10` : `21,957,229`	0.733	0.267	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.733	0.267	0.000
rs1799964 lBF = `64.3315` Chr`6` : `31,542,308`	0.733	0.267	0.000
rs34034473 lBF = `13.1796` Chr`19` : `58,132,106`	0.731	0.269	0.000
rs12063216 lBF = `36.6366` Chr`1` : `114,277,330`	0.730	0.270	0.000
rs9266258 lBF = `29.6278` Chr`6` : `31,325,912`	0.000	0.271	0.729
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.726	0.274	0.000
rs62106258 lBF = `13.2334` Chr`2` : `417,167`	0.000	0.274	0.726
rs204896 lBF = `18.0696` Chr`6` : `32,064,098`	0.000	0.274	0.726
rs12508440 lBF = `5.68351` Chr`4` : `62,487,133`	0.726	0.274	0.000
rs34616430 lBF = `13.2898` Chr`4` : `34,259,163`	0.726	0.274	0.000
rs75722236 lBF = `23.8887` Chr`1` : `98,118,470`	0.725	0.275	0.000
rs117557466 lBF = `12.1727` Chr`12` : `69,802,569`	0.724	0.276	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.724	0.276	0.000
rs2209797 lBF = `6.30453` Chr`9` : `19,591,691`	0.723	0.277	0.000
rs6760338 lBF = `11.3095` Chr`2` : `198,711,900`	0.723	0.277	0.000
rs544167 lBF = `19.5644` Chr`6` : `31,890,158`	0.000	0.278	0.722
rs9260973 lBF = `65.5217` Chr`6` : `29,961,580`	0.721	0.279	0.000
rs2523547 lBF = `9.408` Chr`6` : `31,350,154`	0.000	0.279	0.721
rs41308401 lBF = `6.59762` Chr`1` : `150,938,877`	0.721	0.279	0.000
rs2596574 lBF = `9.8013` Chr`6` : `31,334,174`	0.000	0.280	0.720
rs2523626 lBF = `9.20658` Chr`6` : `31,346,490`	0.000	0.280	0.720
rs2523632 lBF = `9.64388` Chr`6` : `31,345,844`	0.000	0.280	0.720
rs117624816 lBF = `14.1981` Chr`12` : `18,210,143`	0.720	0.280	0.000
rs2507980 lBF = `9.70002` Chr`6` : `31,347,877`	0.000	0.281	0.719
rs2857281 lBF = `9.00838` Chr`6` : `31,374,262`	0.000	0.281	0.719
rs2523639 lBF = `9.40579` Chr`6` : `31,344,098`	0.000	0.281	0.718
rs17758321 lBF = `11.5799` Chr`14` : `79,928,225`	0.718	0.282	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.718	0.282	0.000
rs73224126 lBF = `18.1836` Chr`4` : `13,056,615`	0.717	0.283	0.000
Affx-28452186 lBF = `28.6349` Chr`6` : `31,321,882`	0.000	0.283	0.717
rs3121593 lBF = `64.7168` Chr`6` : `30,002,793`	0.717	0.283	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.717	0.283	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.717	0.283	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.717	0.283	0.000
rs17867771 lBF = `17.3194` Chr`7` : `126,766,816`	0.716	0.283	0.000
rs76287751 lBF = `15.4167` Chr`21` : `22,696,657`	0.716	0.283	0.000
rs78765259 lBF = `18.3432` Chr`18` : `42,749,311`	0.716	0.283	0.000
rs116985836 lBF = `12.7976` Chr`14` : `41,256,353`	0.716	0.283	0.000
rs76342601 lBF = `14.7362` Chr`18` : `42,826,367`	0.716	0.284	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.716	0.284	0.000
rs112312290 lBF = `16.2925` Chr`3` : `52,094,201`	0.716	0.284	0.000
rs2523536 lBF = `10.2024` Chr`6` : `31,336,000`	0.000	0.284	0.716
rs11552449 lBF = `58.9658` Chr`1` : `114,448,389`	0.715	0.285	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.715	0.285	0.000
rs78574971 lBF = `12.9395` Chr`12` : `52,023,925`	0.715	0.285	0.000
rs75548506 lBF = `21.2834` Chr`3` : `35,532,707`	0.715	0.285	0.000
rs72999187 lBF = `16.0305` Chr`6` : `149,148,901`	0.715	0.285	0.000
rs17429847 lBF = `13.1629` Chr`4` : `16,735,814`	0.714	0.286	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.714	0.286	0.000
rs541862 lBF = `26.9098` Chr`6` : `31,916,951`	0.000	0.287	0.713
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.713	0.287	0.000
rs116965022 lBF = `11.9178` Chr`17` : `15,764,366`	0.713	0.287	0.000
rs4788957 lBF = `12.6822` Chr`17` : `74,924,327`	0.713	0.287	0.000
rs79462828 lBF = `12.037` Chr`19` : `58,433,440`	0.713	0.287	0.000
rs78958855 lBF = `19.2036` Chr`19` : `33,988,381`	0.713	0.287	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.712	0.287	0.000
rs3094157 lBF = `54.2952` Chr`6` : `29,836,239`	0.712	0.288	0.000
rs115890303 lBF = `16.6972` Chr`4` : `144,021,142`	0.712	0.288	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.712	0.288	0.000
rs227882 lBF = `8.42146` Chr`20` : `46,778,108`	0.712	0.288	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.712	0.288	0.000
rs28925904 lBF = `27.4219` Chr`4` : `144,359,490`	0.712	0.288	0.000
rs7655552 lBF = `19.1105` Chr`4` : `144,333,832`	0.711	0.288	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.711	0.289	0.000
rs74675245 lBF = `15.4641` Chr`5` : `119,097,407`	0.711	0.289	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.711	0.289	0.000
rs72647873 lBF = `14.4328` Chr`2` : `179,643,566`	0.711	0.289	0.000
rs73134752 lBF = `11.2492` Chr`3` : `85,437,738`	0.711	0.289	0.000
rs498240 lBF = `20.1257` Chr`6` : `31,892,592`	0.000	0.289	0.711
rs147922770 lBF = `13.4146` Chr`3` : `185,588,941`	0.710	0.290	0.000
rs17609368 lBF = `6.30427` Chr`14` : `83,082,550`	0.710	0.290	0.000
rs1632984 lBF = `54.2695` Chr`6` : `29,773,392`	0.710	0.290	0.000
rs641153 lBF = `26.8078` Chr`6` : `31,914,180`	0.000	0.290	0.710
rs7123576 lBF = `22.1871` Chr`11` : `47,625,046`	0.709	0.291	0.000
rs74122244 lBF = `16.8618` Chr`10` : `14,402,332`	0.709	0.291	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.709	0.291	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.708	0.291	0.000
rs77411293 lBF = `13.9361` Chr`6` : `46,467,013`	0.708	0.291	0.000
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Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.690	0.309	0.000
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rs11964556 lBF = `14.2163` Chr`6` : `30,736,360`	0.667	0.333	0.000
rs7763159 lBF = `60.6708` Chr`6` : `30,067,681`	0.667	0.333	0.000
rs115011873 lBF = `13.7122` Chr`2` : `131,517,553`	0.667	0.333	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.667	0.333	0.000
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.667	0.333	0.000
rs2814982 lBF = `11.8908` Chr`6` : `34,546,560`	0.667	0.333	0.000
rs9276722 lBF = `19.4555` Chr`6` : `32,762,391`	0.000	0.333	0.667
rs114425975 lBF = `5.94479` Chr`2` : `168,051,650`	0.667	0.333	0.000
rs2233969 lBF = `31.0453` Chr`6` : `31,080,432`	0.000	0.334	0.666
rs117984108 lBF = `20.8253` Chr`8` : `22,983,095`	0.666	0.334	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.666	0.334	0.000
rs71638410 lBF = `25.1393` Chr`1` : `232,107,430`	0.666	0.334	0.000
rs9263509 lBF = `26.1338` Chr`6` : `31,066,419`	0.000	0.334	0.666
rs76969411 lBF = `14.0957` Chr`6` : `30,731,075`	0.666	0.334	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.665	0.334	0.000
rs9264942 lBF = `127.948` Chr`6` : `31,274,380`	0.000	0.334	0.666
rs62133575 lBF = `17.8576` Chr`2` : `18,239,336`	0.665	0.335	0.000
rs157079 lBF = `29.5092` Chr`10` : `106,058,778`	0.665	0.335	0.000
rs79144467 lBF = `15.3649` Chr`4` : `176,504,741`	0.664	0.336	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.664	0.336	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.664	0.336	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.664	0.336	0.000
rs74911677 lBF = `20.5271` Chr`12` : `122,015,993`	0.664	0.336	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.663	0.336	0.000
rs34308307 lBF = `7.33618` Chr`21` : `46,620,730`	0.663	0.337	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.663	0.337	0.000
rs2248372 lBF = `103.651` Chr`6` : `31,446,466`	0.000	0.337	0.663
rs16845887 lBF = `12.9189` Chr`4` : `72,005,823`	0.663	0.337	0.000
rs114561626 lBF = `19.183` Chr`3` : `44,188,954`	0.662	0.337	0.000
rs115720202 lBF = `18.7627` Chr`12` : `89,746,581`	0.662	0.337	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.662	0.338	0.000
rs118118056 lBF = `20.4965` Chr`13` : `24,338,125`	0.662	0.338	0.000
rs75489010 lBF = `27.7624` Chr`12` : `115,986,702`	0.661	0.338	0.000
rs79729399 lBF = `15.9853` Chr`11` : `122,325,414`	0.661	0.338	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.661	0.339	0.000
rs289004 lBF = `8.50201` Chr`5` : `55,684,799`	0.661	0.339	0.000
rs77675795 lBF = `9.95372` Chr`6` : `52,125,471`	0.661	0.339	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.661	0.339	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.660	0.340	0.000
rs3094204 lBF = `80.1018` Chr`6` : `31,091,992`	0.660	0.340	0.000
rs12943679 lBF = `7.76211` Chr`17` : `64,027,553`	0.659	0.340	0.000
rs11963870 lBF = `14.0528` Chr`6` : `30,735,229`	0.659	0.341	0.000
rs79945224 lBF = `14.7048` Chr`6` : `30,734,551`	0.659	0.341	0.000
rs12291668 lBF = `26.6909` Chr`11` : `4,171,345`	0.659	0.341	0.000
rs61748588 lBF = `24.9135` Chr`6` : `30,878,523`	0.659	0.341	0.000
rs116682995 lBF = `11.6388` Chr`6` : `7,811,326`	0.658	0.342	0.000
rs79918060 lBF = `17.5524` Chr`12` : `58,407,669`	0.658	0.342	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.658	0.342	0.000
rs72897533 lBF = `5.73786` Chr`11` : `39,509,173`	0.658	0.342	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.658	0.342	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.658	0.342	0.000
rs2255798 lBF = `34.8832` Chr`6` : `31,521,302`	0.658	0.342	0.000
rs2857708 lBF = `35.3833` Chr`6` : `31,533,606`	0.658	0.342	0.000
rs72817301 lBF = `8.95428` Chr`2` : `78,333,664`	0.657	0.342	0.000
rs5025708 lBF = `59.8036` Chr`6` : `29,955,199`	0.657	0.342	0.000
rs4635580 lBF = `7.44251` Chr`20` : `40,949,831`	0.657	0.343	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.657	0.343	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.657	0.343	0.000
rs17437544 lBF = `16.9402` Chr`7` : `27,231,189`	0.656	0.344	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.656	0.344	0.000
rs78687901 lBF = `17.8934` Chr`3` : `173,074,141`	0.655	0.344	0.000
rs1877101 lBF = `3.49611` Chr`2` : `13,726,613`	0.655	0.345	0.000
rs188245 lBF = `88.5073` Chr`6` : `32,955,976`	0.655	0.345	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.655	0.345	0.000
rs2394251 lBF = `47.8031` Chr`6` : `29,943,688`	0.653	0.345	0.002
rs115335747 lBF = `11.4155` Chr`4` : `3,243,804`	0.655	0.345	0.000
rs2229094 lBF = `36.0118` Chr`6` : `31,540,556`	0.654	0.345	0.000
rs2523477 lBF = `6.40206` Chr`6` : `31,360,389`	0.000	0.346	0.654
rs1655906 lBF = `47.5141` Chr`6` : `29,918,254`	0.654	0.346	0.000
rs13107325 lBF = `35.3497` Chr`4` : `103,188,709`	0.653	0.346	0.000
rs72745400 lBF = `16.2767` Chr`1` : `217,672,512`	0.653	0.347	0.000
rs115699453 lBF = `7.67843` Chr`1` : `156,827,703`	0.653	0.347	0.000
rs79567137 lBF = `9.23302` Chr`5` : `62,763,334`	0.653	0.347	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.653	0.347	0.000
rs10414451 lBF = `9.16924` Chr`19` : `58,131,576`	0.653	0.347	0.000
rs75083968 lBF = `11.2858` Chr`4` : `96,127,609`	0.653	0.347	0.000
rs76117729 lBF = `13.5252` Chr`6` : `30,731,836`	0.653	0.347	0.000
rs10858000 lBF = `25.2805` Chr`1` : `114,075,796`	0.653	0.347	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.652	0.348	0.000
rs9677004 lBF = `7.78293` Chr`19` : `58,117,083`	0.652	0.348	0.000
rs113248159 lBF = `16.4871` Chr`7` : `18,549,246`	0.651	0.349	0.000
rs17250031 lBF = `17.4462` Chr`8` : `75,077,959`	0.651	0.349	0.000
rs28360994 lBF = `34.9957` Chr`6` : `31,186,208`	0.000	0.349	0.651
rs117492744 lBF = `13.2788` Chr`12` : `29,747,631`	0.651	0.349	0.000
rs76040712 lBF = `19.2473` Chr`20` : `4,424,712`	0.651	0.349	0.000
rs77580845 lBF = `13.8618` Chr`6` : `30,731,469`	0.650	0.349	0.000
rs185603859 lBF = `1.417` Chr`13` : `64,048,489`	0.650	0.349	0.000
rs116045601 lBF = `19.3299` Chr`2` : `31,490,659`	0.650	0.350	0.000
rs61819372 lBF = `13.7361` Chr`1` : `114,072,110`	0.650	0.350	0.000
rs77388539 lBF = `22.0252` Chr`4` : `167,556,784`	0.650	0.350	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.650	0.350	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.649	0.351	0.000
rs9469079 lBF = `16.9205` Chr`6` : `32,032,421`	0.000	0.351	0.648

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 X0175

log Bayes Factor = 45.9153

contains 4 variants

0.9227

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4156

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.3775

Cluster X0196

log Bayes Factor = 301.726

contains 18 variants

0.3186

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9781

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9657

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9629

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9507

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9242

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9103

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.9096

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.9049

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9007

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8914

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8911

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8872

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.8871

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.8840

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.8829

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.8694

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8673

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8598

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8528

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8504

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8460

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.8405

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8377

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.8368

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8310

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8127

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.8127

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.8074

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.8051

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8000

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.7973

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7952

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.7935

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7920

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7814

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7686

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7634

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7617

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.7367

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7164

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7163

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7112

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7106

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7056

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.7044

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6987

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6977

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6967

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6953

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.6942

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.6935

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6921

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6915

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.6904

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.6888

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.6883

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.6880

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6856

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6855

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.6837

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6768

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.6763

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6750

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6723

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.6719

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6699

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.6665

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6610

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6565

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6491

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.6469

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.6422

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6420

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.6396

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.6374

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.6282

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6239

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6226

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.6188

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6157

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.6148

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6111

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6079

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6073

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6046

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.6035

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5993

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5939

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5933

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5919

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.5901

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.5802

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.5751

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5674

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5656

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.5647

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5571

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5548

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.5543

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5537

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5510

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5422

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5421

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.5362

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.5235

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.5190

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.5177

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5160

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5134

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5117

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5063

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.5046

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5044

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4957

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.4937

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.4925

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4874

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4872

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4868

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.4851

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.4770

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4760

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4751

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.4694

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.4684

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4643

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4599

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4588

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4576

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.4562

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.4546

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.4486

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.4482

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.4476

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4469

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.4437

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4420

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.4332

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.4319

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4316

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4312

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4253

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.4217

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4205

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4205

Cluster X0103

log Bayes Factor = 194.456

contains 13 variants

0.4176

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4175

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4099

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.4083

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4056

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.3986

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3909

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.3907

Cluster X0230

log Bayes Factor = 131.696

contains 7 variants

0.3862

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3854

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3853

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.3832

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3817

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3734

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3695

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3608

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3557

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3537

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3525

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.3510

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.3492

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3470

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3468

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3456

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.3447

Cluster X0188

log Bayes Factor = 222.629

contains 14 variants

0.3440

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3438

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3415

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3362

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.3348

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3343

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.3334

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3325

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3321

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.3314

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3292

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.3109

Cluster X0240

log Bayes Factor = 104.862

contains 6 variants

0.3089

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.3056

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3009

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.2958

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.2917

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2857

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.2842

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.2795

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.2701

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2654

Cluster X0301

log Bayes Factor = 297.489

contains 2 variants

0.2650

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2483

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2450

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.2195

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2126

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2092

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.1928

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.1891

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1845

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.1813

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.1807

Cluster X0314

log Bayes Factor = 92.7289

contains 4 variants

0.1498

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.1362

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1209

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.1184

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.1076

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.1036

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.1022

Cluster X0330

log Bayes Factor = 183.455

contains 2 variants

0.0857

Cluster X0219

log Bayes Factor = 230.324

contains 15 variants

0.0779

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.0599

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0509

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.0506

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`)