TreeWAS – [Z99.3] Dependence on wheelchair

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
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.802	0.198	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.743	0.257	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.666	0.334	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.663	0.337	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.661	0.339	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.657	0.343	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.650	0.350	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.649	0.351	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.611	0.389	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.608	0.392	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.606	0.394	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.606	0.394	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.586	0.414	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.574	0.426	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.569	0.431	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.562	0.438	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.544	0.456	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.530	0.470	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.529	0.471	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.511	0.489	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.496	0.504	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.488	0.511	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.484	0.516	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.480	0.520	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.470	0.530	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.460	0.540	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.446	0.554	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.442	0.558	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.441	0.559	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.438	0.562	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.419	0.581	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.391	0.609	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.369	0.631	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.343	0.656	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.330	0.670	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.327	0.673	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.301	0.699	0.001
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.293	0.706	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.289	0.711	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.288	0.712	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.283	0.717	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.280	0.720	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.273	0.727	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.192	0.807	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.189	0.811	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.178	0.821	0.001
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.173	0.826	0.001
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.130	0.870	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.122	0.878	0.001
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.071	0.929	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.066	0.934	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.048	0.952	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.043	0.957	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.035	0.965	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.032	0.968	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.018	0.982	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.015	0.984	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.015	0.985	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.014	0.985	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.013	0.987	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs2280470 lBF = `0.0848574` Chr`15` : `89,395,626`	0.010	0.990	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.010	0.990	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.010	0.990	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.010	0.990	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.009	0.991	0.000
rs2676071 lBF = `-0.0473081` Chr`15` : `33,597,076`	0.008	0.992	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs8033165 lBF = `0.0130614` Chr`15` : `29,006,093`	0.007	0.993	0.000
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.006	0.993	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.006	0.994	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.006	0.994	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.994	0.006
rs117231330 lBF = `14.3463` Chr`15` : `81,214,019`	0.006	0.994	0.000
rs8024058 lBF = `-0.0817015` Chr`15` : `89,165,031`	0.000	0.994	0.006
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs17525472 lBF = `0.0540866` Chr`15` : `51,969,668`	0.000	0.995	0.005
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.004	0.996	0.000
rs2573625 lBF = `0.00087238` Chr`15` : `100,513,158`	0.000	0.996	0.004
rs1871438 lBF = `-0.0114884` Chr`15` : `92,859,881`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.003	0.997	0.000
rs6495706 lBF = `0.333486` Chr`15` : `34,976,870`	0.000	0.997	0.003
rs7164335 lBF = `-0.0545827` Chr`15` : `68,715,032`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs2573652 lBF = `-0.0223466` Chr`15` : `100,514,614`	0.000	0.997	0.003
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.000	0.997	0.003
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
rs291028 lBF = `-0.0458076` Chr`15` : `95,615,786`	0.002	0.998	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.002	0.998	0.000
rs9783698 lBF = `-0.101615` Chr`15` : `74,548,773`	0.002	0.998	0.000
rs2351491 lBF = `0.0202389` Chr`15` : `89,398,105`	0.002	0.998	0.000
rs7163757 lBF = `-0.111887` Chr`15` : `62,391,608`	0.000	0.998	0.002
rs7173964 lBF = `-0.112987` Chr`15` : `62,396,942`	0.000	0.998	0.002
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	0.998	0.002
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs7172432 lBF = `-0.115795` Chr`15` : `62,396,389`	0.000	0.998	0.002
rs970843 lBF = `-0.0275345` Chr`15` : `98,876,029`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.000	0.998	0.002
rs75312808 lBF = `17.1131` Chr`15` : `47,918,724`	0.002	0.998	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.002	0.998	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.002	0.998	0.000
rs894157 lBF = `0.126746` Chr`15` : `90,168,108`	0.002	0.998	0.000
rs8028689 lBF = `-0.0234565` Chr`15` : `28,488,888`	0.000	0.998	0.002
rs17478618 lBF = `13.4102` Chr`15` : `49,736,818`	0.000	0.998	0.002
rs79925068 lBF = `11.1608` Chr`15` : `100,363,930`	0.002	0.998	0.000
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs79097182 lBF = `-0.0164294` Chr`15` : `28,511,997`	0.000	0.998	0.002
rs4502156 lBF = `-0.119286` Chr`15` : `62,383,155`	0.000	0.998	0.002
rs78072114 lBF = `8.42907` Chr`15` : `100,383,923`	0.001	0.999	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs2725544 lBF = `-0.0424449` Chr`15` : `48,992,897`	0.000	0.999	0.001
rs76954458 lBF = `13.8611` Chr`15` : `35,189,409`	0.000	0.999	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	0.999	0.001
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs12592967 lBF = `-0.0836139` Chr`15` : `61,870,943`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	0.999	0.001
rs12903146 lBF = `-0.0838897` Chr`15` : `61,854,663`	0.000	0.999	0.001
rs75706966 lBF = `7.51714` Chr`15` : `33,377,057`	0.001	0.999	0.000
rs79455310 lBF = `13.5183` Chr`15` : `49,439,115`	0.000	0.999	0.001
rs2388436 lBF = `0.494634` Chr`15` : `94,689,653`	0.001	0.999	0.000
rs904310 lBF = `0.00648195` Chr`15` : `25,102,441`	0.000	0.999	0.001
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs28459416 lBF = `7.94577` Chr`15` : `99,561,550`	0.000	0.999	0.001
rs16964211 lBF = `1.96432` Chr`15` : `51,530,495`	0.001	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs143536437 lBF = `-0.067172` Chr`15` : `30,898,332`	0.000	0.999	0.001
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.001	0.999	0.000
rs1808478 lBF = `-0.0489257` Chr`15` : `58,009,759`	0.001	0.999	0.000
rs35787687 lBF = `-0.0244548` Chr`15` : `91,281,211`	0.000	0.999	0.001
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.999	0.001
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	0.999	0.001
rs12440825 lBF = `0.00015619` Chr`15` : `85,223,403`	0.001	0.999	0.001
rs281229 lBF = `0.0001434` Chr`15` : `47,718,455`	0.001	0.999	0.000
rs7164035 lBF = `0.00010418` Chr`15` : `58,102,241`	0.001	0.999	0.000
rs8025093 lBF = `0.00007081` Chr`15` : `25,602,950`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs11856323 lBF = `0.431954` Chr`15` : `68,892,989`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	0.001	0.999	0.000
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs142936968 lBF = `0.00001197` Chr`15` : `28,224,931`	0.001	0.999	0.000
rs57017013 lBF = `0.00000415` Chr`15` : `63,891,961`	0.001	0.999	0.000
rs114831632 lBF = `0` Chr`15` : `58,085,372`	0.001	0.999	0.001
rs79238367 lBF = `0` Chr`15` : `37,347,665`	0.001	0.999	0.001
rs8028579 lBF = `0` Chr`15` : `48,005,470`	0.001	0.999	0.001
rs191299947 lBF = `0` Chr`15` : `80,877,557`	0.001	0.999	0.001
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs113870173 lBF = `0` Chr`15` : `58,104,799`	0.001	0.999	0.001
rs8038108 lBF = `0` Chr`15` : `90,089,276`	0.001	0.999	0.001
rs4775302 lBF = `0` Chr`15` : `46,639,808`	0.001	0.999	0.001
rs145330511 lBF = `0` Chr`15` : `58,100,592`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	0.001	0.999	0.001
rs16961557 lBF = `0` Chr`15` : `49,048,128`	0.001	0.999	0.001
rs149074315 lBF = `0` Chr`15` : `58,088,889`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs1378214 lBF = `0` Chr`15` : `47,579,004`	0.001	0.999	0.001
rs142859932 lBF = `0` Chr`15` : `73,730,683`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	0.001	0.999	0.001
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	0.001	0.999	0.001
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs140526800 lBF = `0` Chr`15` : `58,089,335`	0.001	0.999	0.001
rs891288 lBF = `0.00004609` Chr`15` : `85,377,015`	0.001	0.999	0.000
rs115942227 lBF = `-0.00000509` Chr`15` : `58,105,033`	0.000	0.999	0.001
rs180709182 lBF = `-0.00002313` Chr`15` : `47,998,630`	0.000	0.999	0.001
rs3751599 lBF = `-0.00002368` Chr`15` : `51,573,533`	0.001	0.999	0.000
rs150978828 lBF = `-0.00002407` Chr`15` : `37,500,185`	0.001	0.999	0.000
rs11857176 lBF = `0.705823` Chr`15` : `78,164,706`	0.000	0.999	0.001
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.000	0.999	0.001
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.001	0.999	0.000
rs4887140 lBF = `0.0722058` Chr`15` : `74,046,663`	0.001	0.999	0.000
rs11072783 lBF = `11.6644` Chr`15` : `78,965,966`	0.001	0.999	0.000
rs188133 lBF = `0.0295211` Chr`15` : `47,702,442`	0.001	0.999	0.000
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.001	0.999	0.000
rs2677738 lBF = `37.343` Chr`15` : `91,441,673`	0.000	0.999	0.001
rs17819946 lBF = `15.2912` Chr`15` : `57,428,671`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.000	0.999	0.001
rs34069323 lBF = `7.33643` Chr`15` : `85,187,245`	0.001	0.999	0.000
rs12900158 lBF = `1.30405` Chr`15` : `47,879,627`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
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rs4965121 lBF = `-0.103291` Chr`15` : `98,518,792`	0.000	1.000	0.000
rs2456930 lBF = `0.47234` Chr`15` : `62,687,339`	0.000	1.000	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	1.000	0.000
rs61501627 lBF = `0.0440683` Chr`15` : `39,224,886`	0.000	1.000	0.000
rs8039584 lBF = `0.0223932` Chr`15` : `74,305,966`	0.000	1.000	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.000	1.000	0.000
rs3743200 lBF = `0.0151092` Chr`15` : `79,274,046`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs12901001 lBF = `-0.0336949` Chr`15` : `86,859,476`	0.000	1.000	0.000
rs8042988 lBF = `-0.0853468` Chr`15` : `89,412,279`	0.000	1.000	0.000
rs56062135 lBF = `22.0047` Chr`15` : `67,455,630`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	1.000	0.000
rs12591650 lBF = `0.484151` Chr`15` : `61,060,707`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs9652490 lBF = `0.0523227` Chr`15` : `77,963,887`	0.000	1.000	0.000
rs607541 lBF = `0.0507299` Chr`15` : `45,934,869`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs8023715 lBF = `-0.0503426` Chr`15` : `97,607,681`	0.000	1.000	0.000
rs12912184 lBF = `-0.0613787` Chr`15` : `92,858,101`	0.000	1.000	0.000
rs1993293 lBF = `-0.103937` Chr`15` : `100,297,663`	0.000	1.000	0.000
rs7176070 lBF = `16.0891` Chr`15` : `79,033,489`	0.000	1.000	0.000
rs147577476 lBF = `13.9193` Chr`15` : `60,432,921`	0.000	1.000	0.000
rs117486084 lBF = `13.6827` Chr`15` : `27,086,879`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	1.000	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	1.000	0.000
rs7178572 lBF = `1.57898` Chr`15` : `77,747,190`	0.000	1.000	0.000
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.000	1.000	0.000
rs8033957 lBF = `0.413804` Chr`15` : `40,038,433`	0.000	1.000	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	1.000	0.000
rs8037818 lBF = `0.00213416` Chr`15` : `32,927,476`	0.000	1.000	0.000
rs10468017 lBF = `-0.003875` Chr`15` : `58,678,512`	0.000	1.000	0.000
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.000	1.000	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.000	1.000	0.000
rs11071720 lBF = `-0.070091` Chr`15` : `63,341,996`	0.000	1.000	0.000
rs8031341 lBF = `-0.0785045` Chr`15` : `91,313,224`	0.000	1.000	0.000
rs7403037 lBF = `-0.0870766` Chr`15` : `24,818,497`	0.000	1.000	0.000
rs17480434 lBF = `14.7391` Chr`15` : `49,813,343`	0.000	1.000	0.000
rs75592780 lBF = `7.58134` Chr`15` : `71,952,163`	0.000	1.000	0.000
rs62009784 lBF = `6.38483` Chr`15` : `49,494,566`	0.000	1.000	0.000
rs8042271 lBF = `0.345787` Chr`15` : `89,574,218`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs1014922 lBF = `-0.0186381` Chr`15` : `95,165,580`	0.000	1.000	0.000
rs6497031 lBF = `-0.0199263` Chr`15` : `93,713,666`	0.000	1.000	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.000	1.000	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs4775031 lBF = `-0.0500331` Chr`15` : `58,635,583`	0.000	1.000	0.000
rs61996546 lBF = `-0.0681912` Chr`15` : `26,804,131`	0.000	1.000	0.000
rs10851411 lBF = `-0.0882565` Chr`15` : `42,859,235`	0.000	1.000	0.000
rs1814880 lBF = `17.4442` Chr`15` : `79,021,140`	0.000	1.000	0.000
rs11072806 lBF = `11.8753` Chr`15` : `79,079,074`	0.000	1.000	0.000
rs117209336 lBF = `10.1195` Chr`15` : `32,945,748`	0.000	1.000	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.000	1.000	0.000
rs62020698 lBF = `0.450615` Chr`15` : `43,237,414`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs166870 lBF = `0.206861` Chr`15` : `80,069,762`	0.000	1.000	0.000
rs2446422 lBF = `0.069627` Chr`15` : `51,634,486`	0.000	1.000	0.000
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs4471613 lBF = `-0.0207991` Chr`15` : `58,551,694`	0.000	1.000	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	1.000	0.000
rs9806183 lBF = `-0.070436` Chr`15` : `71,574,799`	0.000	1.000	0.000
rs11072800 lBF = `17.702` Chr`15` : `79,045,857`	0.000	1.000	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs10518693 lBF = `0.389768` Chr`15` : `40,700,022`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs1898036 lBF = `0.07346` Chr`15` : `36,349,846`	0.000	1.000	0.000
rs11858577 lBF = `0.070698` Chr`15` : `67,066,563`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs937213 lBF = `0.0224027` Chr`15` : `40,322,124`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs77963519 lBF = `-0.00312014` Chr`15` : `82,193,846`	0.000	1.000	0.000
rs1898111 lBF = `-0.015389` Chr`15` : `47,892,298`	0.000	1.000	0.000
rs1077834 lBF = `-0.0167799` Chr`15` : `58,723,479`	0.000	1.000	0.000
rs1800588 lBF = `-0.0173621` Chr`15` : `58,723,675`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	1.000	0.000
rs4777989 lBF = `-0.0527191` Chr`15` : `93,006,740`	0.000	1.000	0.000
rs4923705 lBF = `-0.0532717` Chr`15` : `36,293,605`	0.000	1.000	0.000
rs3862435 lBF = `-0.0536054` Chr`15` : `91,082,532`	0.000	1.000	0.000
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.000	1.000	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.000	1.000	0.000
rs62024995 lBF = `-0.0965659` Chr`15` : `98,712,452`	0.000	1.000	0.000
rs3825807 lBF = `10.7606` Chr`15` : `79,089,111`	0.000	1.000	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs10152207 lBF = `1.30611` Chr`15` : `38,129,779`	0.000	1.000	0.000
rs17374222 lBF = `0.404833` Chr`15` : `69,995,344`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	1.000	0.000
rs73371737 lBF = `0.0470791` Chr`15` : `25,784,776`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	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 X0333

log Bayes Factor = 38.671

contains 2 variants

0.6998

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.6259

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9999

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9985

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9979

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9977

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9974

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9968

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9963

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.9957

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9939

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9937

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9912

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9878

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9876

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9849

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9849

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9826

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9814

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.9806

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9788

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9788

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9785

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.9713

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9707

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9650

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9578

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9575

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9574

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9505

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9500

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9459

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9433

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.9428

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.9308

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9220

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9168

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9129

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.9129

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9099

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9032

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.9028

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8971

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8937

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8924

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.8831

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.8734

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.8703

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.8678

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.8508

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7988

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.7980

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7902

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7802

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.7521

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.7244

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7236

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.6977

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.6920

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6868

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.6792

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.6732

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6662

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6640

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.6564

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6336

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6326

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.6150

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.6108

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5737

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5707

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5597

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5591

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.5555

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5332

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5226

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5106

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4627

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.4591

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4578

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.4554

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4482

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4480

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4478

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.4468

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.4009

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.3886

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3786

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.3696

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3590

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.3325

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.2807

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2795

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.2371

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2347

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.2281

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.2260

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2160

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.2021

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.1962

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1910

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1600

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1567

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1545

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.1425

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.1409

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.1408

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.1381

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1331

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1252

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1091

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0829

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0771

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0762

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.0749

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0711

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0637

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.0616

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.0568

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0527

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.0511

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`)