TreeWAS – [D32.1] Spinal meninges

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
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.611	0.389	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.606	0.393	0.000
rs10520638 lBF = `2.90698` Chr`15` : `87,253,534`	0.602	0.398	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.584	0.416	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.583	0.416	0.000
rs339978 lBF = `5.5937` Chr`15` : `60,937,402`	0.564	0.436	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.557	0.443	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.555	0.445	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.544	0.456	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.538	0.461	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.529	0.471	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.519	0.481	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.506	0.493	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.503	0.497	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.503	0.497	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.495	0.505	0.000
rs8036080 lBF = `3.38637` Chr`15` : `41,196,384`	0.491	0.509	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.473	0.527	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.465	0.535	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.460	0.540	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.442	0.558	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.440	0.560	0.000
rs35330276 lBF = `29.7776` Chr`15` : `33,022,090`	0.400	0.599	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.384	0.615	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.379	0.621	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.377	0.623	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.346	0.654	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.330	0.670	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.317	0.683	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.311	0.689	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.288	0.711	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.285	0.714	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.279	0.721	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.278	0.722	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.277	0.723	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.277	0.723	0.000
rs73376930 lBF = `38.7368` Chr`15` : `33,012,502`	0.275	0.725	0.000
rs2293582 lBF = `39.5479` Chr`15` : `33,010,412`	0.254	0.746	0.001
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.253	0.747	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.238	0.762	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.226	0.774	0.000
rs4779584 lBF = `23.7938` Chr`15` : `32,994,756`	0.220	0.780	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.216	0.784	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.212	0.788	0.000
rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.207	0.792	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.205	0.794	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.193	0.807	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.191	0.809	0.000
rs17702901 lBF = `0.234134` Chr`15` : `92,930,411`	0.161	0.839	0.000
rs11634027 lBF = `15.0934` Chr`15` : `26,637,415`	0.155	0.844	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.140	0.860	0.000
rs4575512 lBF = `12.8191` Chr`15` : `97,941,122`	0.122	0.878	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.120	0.880	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.113	0.887	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.112	0.888	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.110	0.889	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.102	0.897	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.099	0.901	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.098	0.902	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.094	0.906	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.081	0.919	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.070	0.929	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.069	0.931	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.066	0.934	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.065	0.935	0.000
rs75598935 lBF = `0.220014` Chr`15` : `80,219,593`	0.064	0.936	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.062	0.938	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.056	0.944	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.047	0.953	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.046	0.954	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.045	0.955	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.044	0.956	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.041	0.958	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.042	0.958	0.000
rs74615166 lBF = `0.0643944` Chr`15` : `64,725,490`	0.041	0.959	0.000
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.038	0.962	0.001
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.038	0.962	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.036	0.963	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.035	0.965	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.035	0.965	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.030	0.970	0.000
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.028	0.972	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.027	0.973	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.026	0.974	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.021	0.976	0.004
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.021	0.976	0.003
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.024	0.976	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.020	0.980	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.018	0.982	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.017	0.983	0.000
rs138570705 lBF = `3.70168` Chr`15` : `44,266,730`	0.016	0.984	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	0.985	0.015
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.014	0.985	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.014	0.985	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.014	0.986	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.014	0.986	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.014	0.986	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.014	0.986	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.012	0.988	0.000
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.010	0.990	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.010	0.990	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.009	0.991	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.009	0.991	0.000
rs78714450 lBF = `5.15716` Chr`15` : `86,788,684`	0.009	0.991	0.000
rs3204689 lBF = `0.115405` Chr`15` : `58,246,802`	0.008	0.991	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.008	0.992	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.007	0.992	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.007	0.992	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.007	0.993	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.007	0.993	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.006	0.993	0.000
rs7179400 lBF = `8.3148` Chr`15` : `94,739,583`	0.006	0.993	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.006	0.994	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.006	0.994	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.006	0.994	0.000
rs35501570 lBF = `8.91191` Chr`15` : `37,965,898`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.001	0.995	0.005
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.005	0.995	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.005	0.995	0.000
rs75798403 lBF = `20.5252` Chr`15` : `33,066,195`	0.005	0.995	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.005	0.995	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.995	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.004	0.996	0.000
rs2222656 lBF = `0.00626451` Chr`15` : `52,773,023`	0.004	0.996	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.004	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.996	0.000
rs8042543 lBF = `-0.059823` Chr`15` : `31,708,263`	0.000	0.996	0.004
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.004	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.996	0.000
rs10519005 lBF = `0.0808155` Chr`15` : `59,711,691`	0.004	0.996	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.003	0.996	0.000
rs1392635 lBF = `-0.074101` Chr`15` : `69,398,026`	0.003	0.996	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.997	0.003
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.003	0.997	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	0.997	0.003
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.003	0.997	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.997	0.000
rs4984499 lBF = `0.0976222` Chr`15` : `96,647,793`	0.003	0.997	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.003	0.997	0.000
rs17730281 lBF = `0.00435176` Chr`15` : `53,907,948`	0.003	0.997	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.997	0.002
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.002	0.997	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.002	0.997	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.002	0.998	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.002	0.998	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.002	0.998	0.000
rs3924426 lBF = `0.00594985` Chr`15` : `92,445,873`	0.002	0.998	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.002	0.998	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.002	0.998	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.002	0.998	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.998	0.002
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.002	0.998	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.002	0.998	0.000
rs7184046 lBF = `0.541406` Chr`15` : `75,866,150`	0.002	0.998	0.000
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.002	0.998	0.000
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.998	0.002
rs1800407 lBF = `5.62045` Chr`15` : `28,230,318`	0.002	0.998	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.002	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.002	0.998	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.002	0.998	0.000
rs17730436 lBF = `0.0220115` Chr`15` : `53,942,928`	0.002	0.998	0.000
rs4886707 lBF = `0.386535` Chr`15` : `75,755,467`	0.002	0.998	0.000
rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.002	0.998	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.002	0.998	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	0.998	0.002
rs3825776 lBF = `0.0522335` Chr`15` : `58,746,830`	0.002	0.998	0.000
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.002	0.998	0.000
rs10518733 lBF = `0.0323043` Chr`15` : `53,940,307`	0.001	0.998	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.000	0.999	0.001
rs12913259 lBF = `-0.0449469` Chr`15` : `51,014,716`	0.001	0.999	0.000
rs2652834 lBF = `0.0301153` Chr`15` : `63,396,867`	0.000	0.999	0.001
rs7174156 lBF = `-0.0322566` Chr`15` : `96,959,855`	0.000	0.999	0.001
rs4338740 lBF = `20.272` Chr`15` : `49,735,297`	0.000	0.999	0.001
rs12916361 lBF = `-0.00455652` Chr`15` : `81,238,045`	0.001	0.999	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.000	0.999	0.001
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.999	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.001	0.999	0.000
rs2279168 lBF = `0.0345732` Chr`15` : `86,077,189`	0.001	0.999	0.000
rs17828380 lBF = `-0.0233215` Chr`15` : `63,467,887`	0.001	0.999	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.001	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs28479400 lBF = `4.3492` Chr`15` : `99,995,884`	0.001	0.999	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.001	0.999	0.000
rs72744450 lBF = `6.48395` Chr`15` : `66,432,798`	0.001	0.999	0.000
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.000	0.999	0.001
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.001	0.999	0.000
rs1055254 lBF = `10.3836` Chr`15` : `49,620,200`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.001	0.999	0.000
rs1873147 lBF = `-0.0583719` Chr`15` : `63,312,632`	0.001	0.999	0.000
rs8037790 lBF = `0.0814415` Chr`15` : `92,542,831`	0.000	0.999	0.001
rs1914816 lBF = `0.0624883` Chr`15` : `76,546,933`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.001	0.999	0.000
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rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.999	0.000
rs3099143 lBF = `-0.0266001` Chr`15` : `77,104,856`	0.000	0.999	0.000
rs8035452 lBF = `-0.0444671` Chr`15` : `51,040,798`	0.000	0.999	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	0.999	0.000
rs11637445 lBF = `-0.106417` Chr`15` : `67,991,606`	0.000	0.999	0.000
rs8032416 lBF = `-0.124987` Chr`15` : `62,409,070`	0.000	0.999	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.000	0.999	0.000
rs4887084 lBF = `12.8944` Chr`15` : `79,025,593`	0.000	0.999	0.000
rs4887083 lBF = `12.6659` Chr`15` : `79,025,577`	0.000	0.999	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.000	0.999	0.000
rs8032158 lBF = `4.57586` Chr`15` : `56,194,877`	0.000	0.999	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	0.999	0.000
rs12914008 lBF = `0.0651393` Chr`15` : `78,923,505`	0.000	0.999	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	0.999	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	0.999	0.000
rs72744354 lBF = `-0.00805169` Chr`15` : `51,352,875`	0.000	0.999	0.000
rs142200609 lBF = `-0.0110233` Chr`15` : `71,742,094`	0.000	0.999	0.000
rs752092 lBF = `-0.0251904` Chr`15` : `101,781,934`	0.000	0.999	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	0.999	0.000
rs2192224 lBF = `-0.0460639` Chr`15` : `27,376,623`	0.000	0.999	0.000
rs56702977 lBF = `-0.0540625` Chr`15` : `42,671,308`	0.000	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.000	0.999	0.000
rs3893384 lBF = `-0.0741418` Chr`15` : `79,973,055`	0.000	0.999	0.000
rs4778720 lBF = `-0.0829449` Chr`15` : `79,975,647`	0.000	0.999	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	0.999	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	0.999	0.000
rs7165042 lBF = `13.4045` Chr`15` : `79,123,338`	0.000	0.999	0.000
rs4887086 lBF = `12.9948` Chr`15` : `79,026,529`	0.000	0.999	0.000
rs2869561 lBF = `12.7931` Chr`15` : `79,025,516`	0.000	0.999	0.000
rs1994016 lBF = `10.7289` Chr`15` : `79,080,234`	0.000	0.999	0.000
rs6493271 lBF = `2.09238` Chr`15` : `47,613,593`	0.000	0.999	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	0.999	0.000
rs6495785 lBF = `0.214074` Chr`15` : `35,858,583`	0.000	0.999	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	0.999	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	0.999	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	0.999	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.999	0.000
rs340005 lBF = `-0.0268016` Chr`15` : `60,878,030`	0.000	0.999	0.000
rs2401171 lBF = `-0.0455262` Chr`15` : `84,557,676`	0.000	0.999	0.000
rs339969 lBF = `-0.0469999` Chr`15` : `60,883,281`	0.000	0.999	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	0.999	0.000
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.000	0.999	0.000
rs8043119 lBF = `16.5105` Chr`15` : `79,061,002`	0.000	0.999	0.000
rs17574546 lBF = `13.6695` Chr`15` : `38,902,476`	0.000	0.999	0.000
rs76919723 lBF = `13.6035` Chr`15` : `79,017,281`	0.000	0.999	0.000
rs8038543 lBF = `13.5425` Chr`15` : `79,017,685`	0.000	0.999	0.000
rs11629637 lBF = `13.3124` Chr`15` : `79,019,024`	0.000	0.999	0.000
rs2869554 lBF = `13.2393` Chr`15` : `79,021,037`	0.000	0.999	0.000
rs34563625 lBF = `13.2278` Chr`15` : `79,020,278`	0.000	0.999	0.000
rs4887087 lBF = `13.2234` Chr`15` : `79,026,541`	0.000	0.999	0.000
rs3829786 lBF = `13.2228` Chr`15` : `79,019,546`	0.000	0.999	0.000
rs12908207 lBF = `13.1797` Chr`15` : `79,025,963`	0.000	0.999	0.000
rs3894347 lBF = `13.1778` Chr`15` : `79,026,001`	0.000	0.999	0.000
rs1825083 lBF = `13.1604` Chr`15` : `79,023,467`	0.000	0.999	0.000
rs34225855 lBF = `13.1227` Chr`15` : `79,022,136`	0.000	0.999	0.000
rs4886587 lBF = `12.9685` Chr`15` : `79,026,822`	0.000	0.999	0.000
rs1825082 lBF = `12.968` Chr`15` : `79,023,433`	0.000	0.999	0.000
rs4886586 lBF = `12.8964` Chr`15` : `79,026,674`	0.000	0.999	0.000
rs11639181 lBF = `12.8441` Chr`15` : `79,024,016`	0.000	0.999	0.000
rs11639382 lBF = `12.7981` Chr`15` : `79,024,268`	0.000	0.999	0.000
rs11639375 lBF = `12.7979` Chr`15` : `79,024,214`	0.000	0.999	0.000
rs11639347 lBF = `12.7116` Chr`15` : `79,024,350`	0.000	0.999	0.000
rs11639049 lBF = `12.6971` Chr`15` : `79,023,730`	0.000	0.999	0.000
rs11639166 lBF = `12.6714` Chr`15` : `79,023,766`	0.000	0.999	0.000
rs2170311 lBF = `10.7953` Chr`15` : `78,947,611`	0.000	0.999	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	0.999	0.000
rs11853441 lBF = `7.14776` Chr`15` : `91,400,208`	0.000	0.999	0.000
rs936229 lBF = `2.72675` Chr`15` : `75,132,319`	0.000	0.999	0.000
rs7176508 lBF = `2.28547` Chr`15` : `70,018,990`	0.000	0.999	0.000
rs12916300 lBF = `1.72274` Chr`15` : `28,410,491`	0.000	0.999	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	0.999	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.000	0.999	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	0.999	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	0.999	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	0.999	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	0.999	0.000
rs1801591 lBF = `-0.026735` Chr`15` : `76,578,762`	0.000	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.999	0.000
rs824192 lBF = `-0.0800546` Chr`15` : `24,002,327`	0.000	0.999	0.000
rs11638815 lBF = `-0.08113` Chr`15` : `83,352,282`	0.000	0.999	0.000
rs2011905 lBF = `-0.0838647` Chr`15` : `87,053,846`	0.000	0.999	0.000
rs1528472 lBF = `-0.0998215` Chr`15` : `55,321,128`	0.000	0.999	0.000
rs1504550 lBF = `28.0315` Chr`15` : `78,766,250`	0.000	1.000	0.000
rs2089162 lBF = `27.397` Chr`15` : `78,739,763`	0.000	1.000	0.000
rs17484524 lBF = `27.2953` Chr`15` : `78,772,676`	0.000	1.000	0.000
rs17484235 lBF = `27.2436` Chr`15` : `78,761,414`	0.000	1.000	0.000
rs72738732 lBF = `27.0931` Chr`15` : `78,752,188`	0.000	1.000	0.000
rs17483548 lBF = `26.6396` Chr`15` : `78,730,313`	0.000	1.000	0.000
rs17405217 lBF = `26.5269` Chr`15` : `78,731,149`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs16967103 lBF = `14.2899` Chr`15` : `38,899,190`	0.000	1.000	0.000
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	1.000	0.000
rs11072803 lBF = `12.7352` Chr`15` : `79,077,878`	0.000	1.000	0.000
rs11639372 lBF = `11.9211` Chr`15` : `78,966,655`	0.000	1.000	0.000
rs12902602 lBF = `11.8843` Chr`15` : `78,967,401`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0265

log Bayes Factor = 59.5497

contains 3 variants

0.4375

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.1485

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.9707

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.8872

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.8771

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.8563

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8250

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8112

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8059

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.8043

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7898

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.7742

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.7727

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.7588

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.7586

Cluster X0113

log Bayes Factor = 49.7598

contains 3 variants

0.7354

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7235

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.7169

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7162

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7131

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7106

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7086

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.7067

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7023

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7021

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7007

Cluster X0288

log Bayes Factor = 92.1513

contains 2 variants

0.6976

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6959

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6912

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.6886

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6760

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.6647

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6633

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.6603

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6553

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6439

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6424

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.6399

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6389

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6379

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6209

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6195

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.6164

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.6137

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.6131

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6099

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.6097

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.5961

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5958

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5953

Cluster X0263

log Bayes Factor = 240.36

contains 13 variants

0.5911

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.5911

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.5848

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5843

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5811

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5801

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5797

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5621

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5583

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.5474

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5366

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5365

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.5357

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.5325

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.5304

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5298

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.5255

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5163

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5127

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5118

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5117

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5108

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5106

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5031

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4973

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4949

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4889

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4814

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.4814

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4797

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.4730

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.4668

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.4661

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4532

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4500

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4488

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4454

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4376

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.4315

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.4308

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4296

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.3997

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.3959

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3941

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.3877

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3866

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3855

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.3808

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.3762

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.3701

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3619

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3480

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3420

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3383

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.3349

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3224

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3199

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3193

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3082

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.3024

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.3012

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2851

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.2618

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2616

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.2599

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.2597

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.2491

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.2457

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2436

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2433

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.2318

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2316

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.2299

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.2266

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2208

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.2182

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.2171

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.2143

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.2098

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1956

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.1926

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1833

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1776

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.1746

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1620

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1338

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0959

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0959

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.0957

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.0945

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.0911

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.0837

Cluster X0127

log Bayes Factor = 276.004

contains 14 variants

0.0829

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0699

Cluster X0221

log Bayes Factor = 149.378

contains 10 variants

0.0668

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.0553

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0533

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.0514

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`)