TreeWAS – [Z97.1] Presence of artificial limb (complete)(partial)

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
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.656	0.344	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.628	0.372	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.622	0.378	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.611	0.389	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.591	0.409	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.571	0.429	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.569	0.431	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.555	0.445	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.550	0.450	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.537	0.462	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.527	0.473	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.517	0.483	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.513	0.487	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.512	0.488	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.509	0.490	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.505	0.494	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.505	0.495	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.490	0.510	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.484	0.516	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.478	0.522	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.472	0.528	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.465	0.534	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.462	0.537	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.460	0.540	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.456	0.544	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.453	0.546	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.444	0.556	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.443	0.557	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.426	0.574	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.423	0.577	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.421	0.579	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.407	0.593	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.406	0.594	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.403	0.597	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.376	0.623	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.376	0.624	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.345	0.655	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.334	0.665	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.315	0.685	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.306	0.694	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.305	0.695	0.000
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.275	0.725	0.001
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.266	0.734	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.257	0.742	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.253	0.747	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.230	0.770	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.210	0.790	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.173	0.827	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.137	0.863	0.000
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.047	0.952	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.046	0.954	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`	0.041	0.959	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.037	0.963	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.031	0.969	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.022	0.977	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.018	0.981	0.000
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.018	0.982	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.017	0.982	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.016	0.984	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.013	0.987	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.012	0.988	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.011	0.989	0.000
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs4965593 lBF = `-0.0671532` Chr`15` : `100,758,385`	0.000	0.990	0.009
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.009	0.991	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.008	0.991	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.992	0.000
rs975210 lBF = `0.828197` Chr`15` : `70,364,352`	0.007	0.993	0.000
rs2137111 lBF = `-0.0912515` Chr`15` : `77,851,535`	0.006	0.994	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.006	0.994	0.000
rs4965598 lBF = `-0.0678203` Chr`15` : `100,759,614`	0.000	0.994	0.006
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs12900413 lBF = `0.466863` Chr`15` : `90,321,039`	0.000	0.995	0.005
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.995	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.004	0.996	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	0.996	0.000
rs4778214 lBF = `-0.0310089` Chr`15` : `28,205,564`	0.004	0.996	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.004	0.996	0.000
rs6493206 lBF = `0.00251152` Chr`15` : `46,569,466`	0.003	0.996	0.000
rs2636061 lBF = `0.00507292` Chr`15` : `29,424,755`	0.003	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.003	0.997	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs56050415 lBF = `0.00309945` Chr`15` : `58,574,966`	0.003	0.997	0.000
rs4779031 lBF = `-0.0794321` Chr`15` : `79,533,372`	0.003	0.997	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.997	0.000
rs7172971 lBF = `0.238389` Chr`15` : `42,332,616`	0.003	0.997	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.002	0.998	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs7172689 lBF = `-0.0664977` Chr`15` : `81,533,695`	0.002	0.998	0.000
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.002	0.998	0.000
rs1370156 lBF = `0.654635` Chr`15` : `34,984,883`	0.000	0.998	0.002
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.002	0.998	0.000
rs4533267 lBF = `0.0106736` Chr`15` : `100,786,271`	0.000	0.998	0.002
rs28420834 lBF = `-0.0406623` Chr`15` : `82,513,121`	0.000	0.998	0.002
rs7178375 lBF = `0.0577236` Chr`15` : `31,215,935`	0.002	0.998	0.000
rs17786786 lBF = `-0.0222882` Chr`15` : `71,608,619`	0.000	0.998	0.002
rs4076457 lBF = `-0.0184089` Chr`15` : `78,007,213`	0.000	0.998	0.002
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs11073058 lBF = `1.85639` Chr`15` : `34,989,626`	0.000	0.998	0.001
rs11073060 lBF = `1.83314` Chr`15` : `34,989,851`	0.000	0.999	0.001
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs1902618 lBF = `-0.0294751` Chr`15` : `61,164,199`	0.001	0.999	0.000
rs8038734 lBF = `0.0651081` Chr`15` : `72,811,402`	0.000	0.999	0.001
rs12148769 lBF = `-0.024698` Chr`15` : `24,152,094`	0.001	0.999	0.000
rs12915189 lBF = `-0.0359307` Chr`15` : `91,114,376`	0.001	0.999	0.000
rs8042680 lBF = `1.52245` Chr`15` : `91,521,337`	0.001	0.999	0.000
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs2173063 lBF = `-0.00881684` Chr`15` : `93,131,632`	0.000	0.999	0.001
rs2469184 lBF = `-0.0492634` Chr`15` : `87,191,977`	0.000	0.999	0.001
rs3884558 lBF = `0.023852` Chr`15` : `61,702,779`	0.000	0.999	0.001
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs2052702 lBF = `0.00061283` Chr`15` : `69,989,505`	0.001	0.999	0.000
rs80332023 lBF = `0.00037071` Chr`15` : `101,073,444`	0.000	0.999	0.001
rs190065944 lBF = `0.0000287` Chr`15` : `78,859,610`	0.001	0.999	0.000
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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs75393192 lBF = `0.00004102` Chr`15` : `75,870,551`	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
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
rs140011970 lBF = `0` Chr`15` : `92,650,280`	0.001	0.999	0.001
rs4775602 lBF = `0` Chr`15` : `46,856,928`	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
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
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
rs16958536 lBF = `0` Chr`15` : `47,029,906`	0.001	0.999	0.001
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs147415896 lBF = `0` Chr`15` : `92,626,515`	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
rs16961557 lBF = `0` Chr`15` : `49,048,128`	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
rs7164569 lBF = `-0.0110508` Chr`15` : `31,793,930`	0.000	0.999	0.001
rs72738704 lBF = `27.7313` Chr`15` : `78,719,832`	0.001	0.999	0.000
rs117267308 lBF = `0.118699` Chr`15` : `63,346,376`	0.001	0.999	0.000
rs524952 lBF = `3.00816` Chr`15` : `35,005,886`	0.000	0.999	0.001
rs17565841 lBF = `0.193744` Chr`15` : `27,997,247`	0.001	0.999	0.000
rs2656065 lBF = `26.5315` Chr`15` : `78,750,549`	0.001	0.999	0.000
rs634990 lBF = `2.82762` Chr`15` : `35,006,073`	0.000	0.999	0.001
rs2007084 lBF = `-0.0169699` Chr`15` : `90,345,335`	0.001	0.999	0.000
rs12050794 lBF = `-0.0869991` Chr`15` : `72,169,466`	0.001	0.999	0.000
rs76280009 lBF = `6.73436` Chr`15` : `30,228,071`	0.001	0.999	0.000
rs936674 lBF = `0.0308811` Chr`15` : `93,903,597`	0.001	0.999	0.000
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs12899618 lBF = `-0.03096` Chr`15` : `71,645,120`	0.000	0.999	0.001
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.001	0.999	0.000
rs513815 lBF = `7.16067` Chr`15` : `43,524,420`	0.001	0.999	0.000
rs2289700 lBF = `0.00783405` Chr`15` : `79,224,683`	0.001	0.999	0.000
rs4702 lBF = `15.7895` Chr`15` : `91,426,560`	0.001	0.999	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs4775078 lBF = `6.96311` Chr`15` : `45,165,400`	0.001	0.999	0.000
rs2663905 lBF = `-0.0436781` Chr`15` : `81,359,137`	0.001	0.999	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.001	0.999	0.000
rs10518960 lBF = `17.1635` Chr`15` : `45,334,829`	0.001	0.999	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	0.999	0.001
rs4778138 lBF = `0.722835` Chr`15` : `28,335,820`	0.000	0.999	0.001
rs2404602 lBF = `0.25324` Chr`15` : `77,030,792`	0.001	0.999	0.000
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs2938670 lBF = `27.281` Chr`15` : `78,740,688`	0.001	0.999	0.000
rs2568494 lBF = `27.2675` Chr`15` : `78,740,964`	0.001	0.999	0.000
rs2656052 lBF = `27.2675` Chr`15` : `78,740,932`	0.001	0.999	0.000
rs6493858 lBF = `-0.0813485` Chr`15` : `56,736,478`	0.001	0.999	0.000
rs2009746 lBF = `28.1293` Chr`15` : `78,754,102`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.000	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs8025470 lBF = `0.0513822` Chr`15` : `33,528,268`	0.001	0.999	0.000
rs783540 lBF = `-0.00710796` Chr`15` : `83,254,708`	0.001	0.999	0.000
rs1873283 lBF = `-0.0404585` Chr`15` : `29,338,502`	0.000	0.999	0.001
rs4842838 lBF = `-0.110493` Chr`15` : `84,582,124`	0.001	0.999	0.000
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rs117655850 lBF = `10.086` Chr`15` : `87,222,097`	0.000	1.000	0.000
rs55786559 lBF = `9.77742` Chr`15` : `85,077,738`	0.000	1.000	0.000
rs117473873 lBF = `9.65269` Chr`15` : `53,024,679`	0.000	1.000	0.000
rs56331483 lBF = `8.45622` Chr`15` : `38,903,824`	0.000	1.000	0.000
rs62020330 lBF = `7.2423` Chr`15` : `50,562,847`	0.000	1.000	0.000
rs11638390 lBF = `6.15514` Chr`15` : `50,782,703`	0.000	1.000	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs62024303 lBF = `0.664094` Chr`15` : `88,871,162`	0.000	1.000	0.000
rs6496044 lBF = `0.396601` Chr`15` : `86,067,306`	0.000	1.000	0.000
rs3784262 lBF = `0.160626` Chr`15` : `58,253,106`	0.000	1.000	0.000
rs719714 lBF = `0.109178` Chr`15` : `53,279,378`	0.000	1.000	0.000
rs8035094 lBF = `0.0707688` Chr`15` : `33,564,482`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs8039808 lBF = `-0.00546549` Chr`15` : `49,939,846`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs4635297 lBF = `-0.0146088` Chr`15` : `38,327,408`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs2289583 lBF = `-0.0314634` Chr`15` : `75,311,036`	0.000	1.000	0.000
rs2414098 lBF = `-0.0356877` Chr`15` : `51,537,806`	0.000	1.000	0.000
rs76158983 lBF = `-0.0363086` Chr`15` : `55,309,006`	0.000	1.000	0.000
rs112386516 lBF = `-0.0375045` Chr`15` : `78,375,229`	0.000	1.000	0.000
rs4776997 lBF = `-0.0588064` Chr`15` : `68,150,923`	0.000	1.000	0.000
rs1563894 lBF = `-0.0730545` Chr`15` : `68,635,775`	0.000	1.000	0.000
rs7164727 lBF = `-0.0740418` Chr`15` : `73,093,991`	0.000	1.000	0.000
rs2453533 lBF = `-0.0781824` Chr`15` : `45,641,225`	0.000	1.000	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	1.000	0.000
rs4777542 lBF = `-0.0815888` Chr`15` : `73,082,366`	0.000	1.000	0.000
rs72740955 lBF = `35.6443` Chr`15` : `78,849,779`	0.000	1.000	0.000
rs72738786 lBF = `35.6113` Chr`15` : `78,828,086`	0.000	1.000	0.000
rs56077333 lBF = `35.5067` Chr`15` : `78,899,003`	0.000	1.000	0.000
rs55853698 lBF = `35.1234` Chr`15` : `78,857,939`	0.000	1.000	0.000
rs11633958 lBF = `33.9624` Chr`15` : `78,862,064`	0.000	1.000	0.000
rs72740964 lBF = `33.6534` Chr`15` : `78,868,636`	0.000	1.000	0.000
rs931794 lBF = `32.9732` Chr`15` : `78,826,180`	0.000	1.000	0.000
rs56117933 lBF = `22.0577` Chr`15` : `78,832,349`	0.000	1.000	0.000
rs2277547 lBF = `16.0479` Chr`15` : `79,082,431`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs78050772 lBF = `13.4833` Chr`15` : `49,578,577`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs75421114 lBF = `9.7401` Chr`15` : `98,217,518`	0.000	1.000	0.000
rs187775 lBF = `8.50037` Chr`15` : `58,677,895`	0.000	1.000	0.000
rs2472304 lBF = `4.82642` Chr`15` : `75,044,238`	0.000	1.000	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.000	1.000	0.000
rs980000 lBF = `0.26125` Chr`15` : `60,900,963`	0.000	1.000	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	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
rs79252495 lBF = `0.0204928` Chr`15` : `26,722,016`	0.000	1.000	0.000
rs76065397 lBF = `0.0130401` Chr`15` : `36,196,925`	0.000	1.000	0.000
rs35053544 lBF = `0.0117735` Chr`15` : `46,122,936`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs547843 lBF = `-0.00243888` Chr`15` : `26,424,047`	0.000	1.000	0.000
rs311904 lBF = `-0.00265258` Chr`15` : `69,346,946`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs1528473 lBF = `-0.0128636` Chr`15` : `55,386,743`	0.000	1.000	0.000
rs12907914 lBF = `-0.0185925` Chr`15` : `39,315,358`	0.000	1.000	0.000
rs17571096 lBF = `-0.0238828` Chr`15` : `46,586,905`	0.000	1.000	0.000
rs11858486 lBF = `-0.0269919` Chr`15` : `86,808,869`	0.000	1.000	0.000
rs12437854 lBF = `-0.0286045` Chr`15` : `94,141,833`	0.000	1.000	0.000
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.000	1.000	0.000
rs10519201 lBF = `-0.0344554` Chr`15` : `49,221,591`	0.000	1.000	0.000
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	1.000	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs2036527 lBF = `35.645` Chr`15` : `78,851,615`	0.000	1.000	0.000
rs2127898 lBF = `13.6214` Chr`15` : `79,083,120`	0.000	1.000	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.000	1.000	0.000
rs785427 lBF = `9.18741` Chr`15` : `30,182,766`	0.000	1.000	0.000
rs8024939 lBF = `5.37334` Chr`15` : `79,049,237`	0.000	1.000	0.000
rs2679084 lBF = `1.60694` Chr`15` : `87,966,944`	0.000	1.000	0.000
rs10152591 lBF = `0.753858` Chr`15` : `70,048,157`	0.000	1.000	0.000
rs36035742 lBF = `0.493569` Chr`15` : `80,192,975`	0.000	1.000	0.000
rs4774830 lBF = `0.283711` Chr`15` : `56,116,231`	0.000	1.000	0.000
rs11855415 lBF = `0.257241` Chr`15` : `101,875,123`	0.000	1.000	0.000
rs12902137 lBF = `0.116481` Chr`15` : `24,924,663`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs16942556 lBF = `0.0682052` Chr`15` : `60,687,251`	0.000	1.000	0.000
rs146797905 lBF = `0.0376606` Chr`15` : `88,758,574`	0.000	1.000	0.000
rs12595161 lBF = `0.0301444` Chr`15` : `52,922,890`	0.000	1.000	0.000
rs3825942 lBF = `0.00489631` Chr`15` : `74,219,582`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	0.000	1.000	0.000
rs7181696 lBF = `-0.00550882` Chr`15` : `33,953,908`	0.000	1.000	0.000
rs4780144 lBF = `-0.00553324` Chr`15` : `33,954,652`	0.000	1.000	0.000
rs1559831 lBF = `-0.0109718` Chr`15` : `39,136,304`	0.000	1.000	0.000
rs17301739 lBF = `-0.0163151` Chr`15` : `58,730,639`	0.000	1.000	0.000
rs77845309 lBF = `-0.0171763` Chr`15` : `46,475,346`	0.000	1.000	0.000
rs2414095 lBF = `-0.0223207` Chr`15` : `51,524,292`	0.000	1.000	0.000
rs727479 lBF = `-0.023198` Chr`15` : `51,534,547`	0.000	1.000	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	1.000	0.000
rs7168353 lBF = `-0.0625658` Chr`15` : `93,638,401`	0.000	1.000	0.000
rs207954 lBF = `-0.0656915` Chr`15` : `92,657,373`	0.000	1.000	0.000
rs150848999 lBF = `-0.0808139` Chr`15` : `28,760,306`	0.000	1.000	0.000
rs1466921 lBF = `-0.0815409` Chr`15` : `82,384,657`	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

0.4559

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4477

Cluster X0186

log Bayes Factor = 35.9761

contains 2 variants

0.1085

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8739

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8180

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7849

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.7785

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.7168

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7165

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.7159

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7158

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.7154

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7153

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7150

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7142

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7139

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7137

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7136

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7134

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7116

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7116

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7112

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7099

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7087

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7065

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7054

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.7052

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7051

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7037

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7033

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7027

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.7022

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7017

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.7004

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6988

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6986

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.6980

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6978

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6873

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6867

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6816

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6796

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.6775

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.6760

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.6744

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6743

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.6708

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.6688

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6684

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6664

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6629

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.6583

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6554

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.6520

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6473

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6405

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6403

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.6388

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.6319

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.6318

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6307

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.6298

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.6260

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.6218

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.6158

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6135

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.6130

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.6083

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.6050

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.6028

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5927

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5916

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5872

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5829

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5752

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5695

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5692

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5651

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.5646

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.5644

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.5615

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.5582

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.5581

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.5500

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5491

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.5475

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5398

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5291

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5132

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.5081

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.5039

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.5012

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4995

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4967

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4933

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.4851

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.4768

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.4666

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.4652

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.4579

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4551

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4398

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.4334

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.4210

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4201

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4175

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.4156

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4131

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.4106

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.4101

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.4083

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.3924

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.3813

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.3721

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.3665

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.3619

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3442

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2985

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2898

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2857

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2783

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2711

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.2601

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2573

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2573

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2526

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.2420

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.2379

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2311

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.2198

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2102

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.1927

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1417

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0972

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0764

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.0710

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0691

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.0657

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0571

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.0548

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0507

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`)