TreeWAS – [Z94.7] Corneal transplant status

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
rs1916149 lBF = `16.6286` Chr`15` : `38,464,431`	0.672	0.328	0.000
rs75683534 lBF = `22.4278` Chr`15` : `65,116,390`	0.659	0.341	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.652	0.348	0.000
rs10851371 lBF = `35.9133` Chr`15` : `39,224,945`	0.629	0.371	0.000
rs78275630 lBF = `11.943` Chr`15` : `58,202,985`	0.620	0.379	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.609	0.391	0.000
rs117040525 lBF = `29.602` Chr`15` : `36,563,570`	0.595	0.405	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.581	0.418	0.000
rs78820411 lBF = `24.1897` Chr`15` : `26,478,903`	0.576	0.424	0.000
rs116448368 lBF = `23.9738` Chr`15` : `52,600,590`	0.574	0.426	0.000
rs116299775 lBF = `29.8285` Chr`15` : `91,445,276`	0.568	0.431	0.000
rs74752048 lBF = `15.608` Chr`15` : `50,060,632`	0.565	0.435	0.000
rs77603112 lBF = `33.2101` Chr`15` : `47,488,446`	0.564	0.436	0.000
rs117133403 lBF = `17.8134` Chr`15` : `49,823,391`	0.558	0.442	0.000
rs117206795 lBF = `31.2014` Chr`15` : `67,270,650`	0.545	0.455	0.000
rs12901682 lBF = `2.81371` Chr`15` : `78,833,223`	0.530	0.469	0.000
rs691655 lBF = `19.4694` Chr`15` : `50,020,318`	0.515	0.485	0.000
rs149916999 lBF = `5.74278` Chr`15` : `31,408,269`	0.509	0.490	0.000
rs112044143 lBF = `9.4375` Chr`15` : `33,800,749`	0.507	0.493	0.000
rs28414670 lBF = `16.6255` Chr`15` : `96,000,620`	0.494	0.505	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.490	0.509	0.000
rs117654141 lBF = `19.1486` Chr`15` : `38,120,376`	0.490	0.510	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.487	0.513	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.482	0.518	0.000
rs72655652 lBF = `20.5631` Chr`15` : `92,647,684`	0.476	0.524	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.474	0.526	0.000
rs10162934 lBF = `7.83475` Chr`15` : `35,541,843`	0.473	0.527	0.000
rs78425542 lBF = `16.392` Chr`15` : `69,399,885`	0.465	0.535	0.000
rs117207033 lBF = `17.1989` Chr`15` : `97,116,274`	0.462	0.538	0.000
rs16977508 lBF = `17.5006` Chr`15` : `57,743,603`	0.458	0.542	0.000
rs192229215 lBF = `1.12807` Chr`15` : `48,048,566`	0.446	0.554	0.000
rs8033755 lBF = `6.27132` Chr`15` : `28,381,546`	0.442	0.558	0.000
rs16942341 lBF = `0.979771` Chr`15` : `89,388,905`	0.411	0.589	0.000
rs77457385 lBF = `15.4395` Chr`15` : `69,979,587`	0.405	0.594	0.000
Affx-52173688 lBF = `17.4903` Chr`15` : `99,671,741`	0.401	0.599	0.000
rs117458067 lBF = `15.4786` Chr`15` : `61,951,318`	0.383	0.616	0.000
rs183775327 lBF = `14.3545` Chr`15` : `67,274,514`	0.363	0.637	0.000
rs138117236 lBF = `16.8457` Chr`15` : `83,309,422`	0.356	0.644	0.000
rs74850597 lBF = `17.1584` Chr`15` : `98,129,804`	0.339	0.660	0.000
rs75660786 lBF = `15.6938` Chr`15` : `96,161,741`	0.337	0.663	0.000
rs79336250 lBF = `15.5463` Chr`15` : `57,308,475`	0.334	0.666	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.285	0.714	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.261	0.738	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.252	0.748	0.000
rs4606657 lBF = `14.3358` Chr`15` : `61,601,952`	0.199	0.801	0.000
rs56190744 lBF = `18.1608` Chr`15` : `78,170,282`	0.188	0.812	0.000
rs1426654 lBF = `0.663903` Chr`15` : `48,426,484`	0.186	0.813	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.170	0.829	0.000
rs16953998 lBF = `15.2931` Chr`15` : `70,264,186`	0.166	0.834	0.000
rs12900968 lBF = `10.5004` Chr`15` : `58,108,764`	0.114	0.886	0.000
rs75367305 lBF = `9.30397` Chr`15` : `74,511,630`	0.111	0.886	0.003
rs16966389 lBF = `0.121312` Chr`15` : `38,464,874`	0.088	0.912	0.000
rs55742391 lBF = `8.79257` Chr`15` : `66,061,627`	0.053	0.947	0.000
rs145013933 lBF = `9.5117` Chr`15` : `33,091,102`	0.044	0.956	0.000
rs2433610 lBF = `0.0435733` Chr`15` : `45,686,091`	0.043	0.956	0.000
rs72733851 lBF = `13.422` Chr`15` : `47,804,552`	0.043	0.957	0.000
rs141308780 lBF = `0.577437` Chr`15` : `84,260,542`	0.041	0.959	0.000
rs113223489 lBF = `11.3029` Chr`15` : `64,262,688`	0.030	0.970	0.000
rs12902421 lBF = `0.135383` Chr`15` : `72,161,403`	0.029	0.971	0.000
rs72767417 lBF = `6.73352` Chr`15` : `94,813,962`	0.028	0.972	0.000
rs78236847 lBF = `19.6533` Chr`15` : `33,294,717`	0.020	0.979	0.001
rs79434560 lBF = `18.5118` Chr`15` : `67,049,150`	0.020	0.980	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.018	0.981	0.000
rs2174866 lBF = `0.0143718` Chr`15` : `53,464,220`	0.016	0.984	0.000
rs35216196 lBF = `26.0859` Chr`15` : `38,193,234`	0.013	0.987	0.000
rs72763071 lBF = `14.1776` Chr`15` : `101,347,950`	0.012	0.988	0.000
rs12101657 lBF = `11.5945` Chr`15` : `49,043,765`	0.011	0.988	0.000
rs10520045 lBF = `0.0447628` Chr`15` : `36,313,965`	0.000	0.989	0.011
rs539901 lBF = `0.0507584` Chr`15` : `58,674,669`	0.010	0.989	0.000
rs1847246 lBF = `13.224` Chr`15` : `82,323,786`	0.010	0.990	0.000
rs28602670 lBF = `0.0139218` Chr`15` : `78,768,167`	0.009	0.990	0.000
rs1834640 lBF = `8.70364` Chr`15` : `48,392,165`	0.008	0.991	0.000
rs17647114 lBF = `1.90052` Chr`15` : `87,436,745`	0.008	0.992	0.000
rs17269740 lBF = `11.1226` Chr`15` : `59,998,058`	0.008	0.992	0.000
rs150844304 lBF = `10.501` Chr`15` : `43,726,625`	0.005	0.995	0.000
rs1878186 lBF = `0.0132574` Chr`15` : `48,508,400`	0.000	0.995	0.005
rs75905933 lBF = `1.53062` Chr`15` : `31,548,996`	0.005	0.995	0.000
rs2034650 lBF = `-0.0358737` Chr`15` : `40,717,302`	0.005	0.995	0.000
rs72732571 lBF = `15.1337` Chr`15` : `78,424,369`	0.005	0.995	0.000
rs62012778 lBF = `9.84005` Chr`15` : `63,873,443`	0.004	0.996	0.000
rs487836 lBF = `0.00557908` Chr`15` : `58,033,859`	0.004	0.996	0.000
rs117932080 lBF = `25.9049` Chr`15` : `93,875,227`	0.004	0.996	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	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
rs118036322 lBF = `17.3823` Chr`15` : `54,331,986`	0.003	0.997	0.000
rs3784589 lBF = `6.65828` Chr`15` : `31,294,714`	0.003	0.997	0.000
rs10162694 lBF = `0.00227465` Chr`15` : `35,346,541`	0.003	0.997	0.000
rs4776059 lBF = `-0.0917186` Chr`15` : `52,886,962`	0.000	0.997	0.003
rs2900 lBF = `1.75322` Chr`15` : `23,817,721`	0.003	0.997	0.000
rs2414739 lBF = `0.0198079` Chr`15` : `61,994,134`	0.003	0.997	0.000
rs4906844 lBF = `-0.0529965` Chr`15` : `26,277,545`	0.000	0.998	0.002
rs1105881 lBF = `-0.0466662` Chr`15` : `42,072,530`	0.002	0.998	0.000
rs144442299 lBF = `5.60539` Chr`15` : `54,295,192`	0.002	0.998	0.000
rs148060237 lBF = `12.4871` Chr`15` : `72,180,440`	0.002	0.998	0.000
rs4932217 lBF = `-0.105391` Chr`15` : `89,902,032`	0.002	0.998	0.000
rs2238300 lBF = `0.00674349` Chr`15` : `89,851,580`	0.002	0.998	0.000
rs3212335 lBF = `-0.00861161` Chr`15` : `27,012,141`	0.000	0.998	0.002
rs1432133 lBF = `1.38278` Chr`15` : `27,228,346`	0.002	0.998	0.000
rs12913547 lBF = `0.156042` Chr`15` : `67,467,507`	0.000	0.998	0.002
rs3784609 lBF = `-0.0716229` Chr`15` : `60,910,550`	0.002	0.998	0.000
rs7176093 lBF = `-0.0724008` Chr`15` : `86,369,430`	0.002	0.998	0.000
rs117803799 lBF = `13.8032` Chr`15` : `59,431,200`	0.001	0.998	0.000
rs748404 lBF = `0.0377332` Chr`15` : `43,559,231`	0.000	0.998	0.002
rs6576507 lBF = `0.00076318` Chr`15` : `26,288,394`	0.001	0.998	0.000
rs17228212 lBF = `-0.035882` Chr`15` : `67,458,639`	0.001	0.998	0.000
rs118056006 lBF = `8.25296` Chr`15` : `60,087,231`	0.001	0.998	0.000
rs28459338 lBF = `6.27018` Chr`15` : `67,097,927`	0.001	0.998	0.000
rs1394371 lBF = `15.6461` Chr`15` : `78,724,469`	0.001	0.998	0.000
rs7182209 lBF = `0.00272839` Chr`15` : `46,132,501`	0.001	0.999	0.000
rs8029989 lBF = `-0.0610786` Chr`15` : `38,733,847`	0.001	0.999	0.000
rs566767 lBF = `0.00288706` Chr`15` : `58,082,367`	0.000	0.999	0.001
rs951984 lBF = `16.3665` Chr`15` : `78,720,915`	0.001	0.999	0.000
rs2307449 lBF = `0.0384674` Chr`15` : `89,863,928`	0.001	0.999	0.000
rs1445021 lBF = `0.00043097` Chr`15` : `68,735,586`	0.001	0.999	0.000
rs2414059 lBF = `-0.0442451` Chr`15` : `50,873,344`	0.000	0.999	0.001
rs3105593 lBF = `-0.0296579` Chr`15` : `50,845,018`	0.000	0.999	0.001
rs6494964 lBF = `-0.0567446` Chr`15` : `33,493,221`	0.000	0.999	0.001
rs12324805 lBF = `-0.0374731` Chr`15` : `82,352,200`	0.001	0.999	0.000
rs2250402 lBF = `-0.0202885` Chr`15` : `40,322,552`	0.001	0.999	0.000
rs595244 lBF = `0.436162` Chr`15` : `48,840,835`	0.000	0.999	0.001
rs16976033 lBF = `0.0002612` Chr`15` : `55,456,510`	0.001	0.999	0.000
rs78153629 lBF = `-0.0642382` Chr`15` : `40,673,465`	0.001	0.999	0.000
rs1036476 lBF = `0.526524` Chr`15` : `48,914,775`	0.000	0.999	0.001
rs16973225 lBF = `-0.0381046` Chr`15` : `82,229,999`	0.000	0.999	0.001
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.001	0.999	0.000
rs59659806 lBF = `5.44831` Chr`15` : `38,919,964`	0.001	0.999	0.000
rs148024591 lBF = `0.00024579` Chr`15` : `93,914,451`	0.001	0.999	0.000
rs28395178 lBF = `13.7731` Chr`15` : `78,850,558`	0.000	0.999	0.001
rs1700006 lBF = `12.5531` Chr`15` : `78,875,623`	0.000	0.999	0.001
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
rs1513859 lBF = `0.00002134` Chr`15` : `97,750,335`	0.001	0.999	0.000
rs10852151 lBF = `0.713437` Chr`15` : `92,083,295`	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
rs16939881 lBF = `-0.00014956` Chr`15` : `58,471,979`	0.001	0.999	0.000
rs2030062 lBF = `-0.0209084` Chr`15` : `25,133,986`	0.000	0.999	0.001
rs4143844 lBF = `-0.0428082` Chr`15` : `62,312,840`	0.001	0.999	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	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
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
rs2414208 lBF = `0` Chr`15` : `53,203,301`	0.001	0.999	0.001
rs75646498 lBF = `0` Chr`15` : `29,876,649`	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
rs191299947 lBF = `0` Chr`15` : `80,877,557`	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
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
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
rs4775302 lBF = `0` Chr`15` : `46,639,808`	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
rs60283548 lBF = `0` Chr`15` : `97,454,880`	0.001	0.999	0.001
rs144587541 lBF = `0` Chr`15` : `80,919,708`	0.001	0.999	0.001
rs17514846 lBF = `52.1536` Chr`15` : `91,416,550`	0.001	0.999	0.000
rs76918861 lBF = `18.3265` Chr`15` : `72,847,656`	0.001	0.999	0.000
rs7178909 lBF = `0.177574` Chr`15` : `90,447,946`	0.001	0.999	0.000
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
rs1075232 lBF = `-0.0123645` Chr`15` : `31,741,216`	0.001	0.999	0.000
rs28669908 lBF = `12.497` Chr`15` : `78,910,267`	0.000	0.999	0.001
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.001	0.999	0.000
rs113352275 lBF = `14.4672` Chr`15` : `78,840,567`	0.000	0.999	0.001
rs62002515 lBF = `10.786` Chr`15` : `59,296,838`	0.001	0.999	0.000
rs12909281 lBF = `12.1942` Chr`15` : `33,345,389`	0.001	0.999	0.000
rs2677744 lBF = `-0.0202142` Chr`15` : `91,450,441`	0.000	0.999	0.001
rs6598266 lBF = `-0.0265201` Chr`15` : `100,299,239`	0.000	0.999	0.001
rs1533665 lBF = `-0.0296605` Chr`15` : `78,530,940`	0.001	0.999	0.000
rs28681284 lBF = `12.8174` Chr`15` : `78,908,565`	0.000	0.999	0.001
rs2011013 lBF = `0.0987543` Chr`15` : `84,625,766`	0.000	0.999	0.001
rs8030672 lBF = `-0.00102804` Chr`15` : `69,059,084`	0.001	0.999	0.000
rs9328573 lBF = `-0.0201958` Chr`15` : `100,511,004`	0.001	0.999	0.000
rs2692194 lBF = `-0.0571718` Chr`15` : `80,013,422`	0.001	0.999	0.000
rs7170930 lBF = `4.48048` Chr`15` : `66,580,853`	0.001	0.999	0.000
rs7497304 lBF = `53.3212` Chr`15` : `91,429,176`	0.001	0.999	0.000
rs72736802 lBF = `25.9302` Chr`15` : `78,719,501`	0.001	0.999	0.000
rs1711731 lBF = `12.5764` Chr`15` : `78,861,918`	0.000	0.999	0.001
rs1442808 lBF = `0.0006366` Chr`15` : `98,764,847`	0.001	0.999	0.000
rs80184563 lBF = `6.16302` Chr`15` : `79,151,207`	0.001	0.999	0.000
rs261342 lBF = `0.0540311` Chr`15` : `58,731,153`	0.000	0.999	0.001
rs72739921 lBF = `-0.0750047` Chr`15` : `60,270,750`	0.001	0.999	0.000
rs2553218 lBF = `-0.0759874` Chr`15` : `54,868,668`	0.000	0.999	0.001
rs7173514 lBF = `19.2089` Chr`15` : `78,849,918`	0.000	0.999	0.001
rs2928148 lBF = `0.118346` Chr`15` : `41,401,550`	0.001	0.999	0.000
rs7495694 lBF = `-0.00040933` Chr`15` : `73,125,992`	0.000	0.999	0.000
rs588136 lBF = `0.0543852` Chr`15` : `58,730,498`	0.000	0.999	0.001
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rs28399071 lBF = `26.1495` Chr`15` : `32,992,658`	0.000	0.999	0.000
rs12903285 lBF = `23.1095` Chr`15` : `78,778,953`	0.000	0.999	0.000
rs8042374 lBF = `18.7395` Chr`15` : `78,908,032`	0.000	0.999	0.000
rs8042059 lBF = `18.7395` Chr`15` : `78,907,859`	0.000	0.999	0.000
rs7177514 lBF = `18.6876` Chr`15` : `78,907,406`	0.000	0.999	0.000
rs8042494 lBF = `18.6762` Chr`15` : `78,908,010`	0.000	0.999	0.000
rs28498264 lBF = `18.6374` Chr`15` : `78,837,673`	0.000	0.999	0.000
rs8043009 lBF = `18.5049` Chr`15` : `78,908,154`	0.000	0.999	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.000	0.999	0.000
rs2033784 lBF = `10.7991` Chr`15` : `67,449,660`	0.000	0.999	0.000
rs2938674 lBF = `9.93244` Chr`15` : `78,757,913`	0.000	0.999	0.000
rs118020484 lBF = `8.51253` Chr`15` : `56,818,990`	0.000	0.999	0.000
rs3934516 lBF = `7.69858` Chr`15` : `61,603,979`	0.000	0.999	0.000
rs12593811 lBF = `5.9761` Chr`15` : `101,721,892`	0.000	0.999	0.000
rs12917264 lBF = `5.01465` Chr`15` : `91,420,552`	0.000	0.999	0.000
rs11635553 lBF = `0.722646` Chr`15` : `73,749,608`	0.000	0.999	0.000
rs2278702 lBF = `0.561434` Chr`15` : `80,694,922`	0.000	0.999	0.000
rs12148088 lBF = `0.337154` Chr`15` : `46,209,027`	0.000	0.999	0.000
rs3935740 lBF = `0.246285` Chr`15` : `81,626,725`	0.000	0.999	0.000
rs16977195 lBF = `0.0635692` Chr`15` : `86,984,240`	0.000	0.999	0.000
rs11072089 lBF = `0.0481829` Chr`15` : `69,650,053`	0.000	0.999	0.000
rs16949516 lBF = `0.0443574` Chr`15` : `95,318,767`	0.000	0.999	0.000
rs28377390 lBF = `-0.0104245` Chr`15` : `97,740,738`	0.000	0.999	0.000
rs8023845 lBF = `-0.0162583` Chr`15` : `40,414,116`	0.000	0.999	0.000
rs1503351 lBF = `-0.0303989` Chr`15` : `97,357,520`	0.000	0.999	0.000
rs491567 lBF = `-0.0354221` Chr`15` : `53,946,593`	0.000	0.999	0.000
rs2929278 lBF = `-0.0360307` Chr`15` : `44,250,313`	0.000	0.999	0.000
rs11858836 lBF = `29.0725` Chr`15` : `78,783,277`	0.000	1.000	0.000
rs1964678 lBF = `20.5711` Chr`15` : `78,754,000`	0.000	1.000	0.000
rs4887069 lBF = `17.5813` Chr`15` : `78,909,070`	0.000	1.000	0.000
rs12591531 lBF = `5.81695` Chr`15` : `28,427,916`	0.000	1.000	0.000
rs74609360 lBF = `1.8041` Chr`15` : `31,540,395`	0.000	1.000	0.000
rs974379 lBF = `0.134128` Chr`15` : `33,505,067`	0.000	1.000	0.000
rs74249803 lBF = `0.0573818` Chr`15` : `81,705,750`	0.000	1.000	0.000
rs11074046 lBF = `0.0410671` Chr`15` : `92,731,659`	0.000	1.000	0.000
rs16952065 lBF = `0.0221169` Chr`15` : `68,718,987`	0.000	1.000	0.000
rs74006954 lBF = `0.0027467` Chr`15` : `27,712,644`	0.000	1.000	0.000
rs16958445 lBF = `0.00270549` Chr`15` : `74,176,557`	0.000	1.000	0.000
rs16957063 lBF = `-0.00645364` Chr`15` : `42,984,288`	0.000	1.000	0.000
rs62013859 lBF = `-0.00985517` Chr`15` : `86,826,840`	0.000	1.000	0.000
rs7359257 lBF = `-0.0122994` Chr`15` : `67,702,907`	0.000	1.000	0.000
rs2871865 lBF = `-0.025259` Chr`15` : `99,194,896`	0.000	1.000	0.000
rs8023445 lBF = `-0.0493456` Chr`15` : `49,192,791`	0.000	1.000	0.000
rs2467853 lBF = `-0.0789371` Chr`15` : `45,698,793`	0.000	1.000	0.000
rs11638450 lBF = `-0.0818818` Chr`15` : `81,190,532`	0.000	1.000	0.000
rs11637656 lBF = `23.7386` Chr`15` : `78,751,961`	0.000	1.000	0.000
rs12910910 lBF = `23.6547` Chr`15` : `78,767,850`	0.000	1.000	0.000
rs8042260 lBF = `23.6429` Chr`15` : `78,774,374`	0.000	1.000	0.000
rs12916801 lBF = `23.5612` Chr`15` : `78,769,130`	0.000	1.000	0.000
rs8043227 lBF = `23.5612` Chr`15` : `78,768,871`	0.000	1.000	0.000
rs1504549 lBF = `23.3155` Chr`15` : `78,766,629`	0.000	1.000	0.000
rs36146269 lBF = `23.2878` Chr`15` : `78,779,510`	0.000	1.000	0.000
rs4887059 lBF = `23.2298` Chr`15` : `78,782,095`	0.000	1.000	0.000
rs4299116 lBF = `23.1218` Chr`15` : `78,766,194`	0.000	1.000	0.000
rs12904234 lBF = `23.0302` Chr`15` : `78,779,384`	0.000	1.000	0.000
rs12903295 lBF = `23.0086` Chr`15` : `78,778,972`	0.000	1.000	0.000
rs3825845 lBF = `17.8544` Chr`15` : `78,910,258`	0.000	1.000	0.000
rs7171171 lBF = `15.3328` Chr`15` : `38,907,041`	0.000	1.000	0.000
rs7165170 lBF = `0.326284` Chr`15` : `91,181,489`	0.000	1.000	0.000
rs6496667 lBF = `0.258962` Chr`15` : `90,893,668`	0.000	1.000	0.000
rs16950081 lBF = `0.0245178` Chr`15` : `66,923,217`	0.000	1.000	0.000
rs8036030 lBF = `0.021247` Chr`15` : `74,716,609`	0.000	1.000	0.000
rs17815774 lBF = `0.0169403` Chr`15` : `31,334,362`	0.000	1.000	0.000
rs141668138 lBF = `0.014285` Chr`15` : `80,599,536`	0.000	1.000	0.000
rs4780141 lBF = `-0.00265382` Chr`15` : `33,953,090`	0.000	1.000	0.000
rs17680945 lBF = `-0.00381248` Chr`15` : `29,239,817`	0.000	1.000	0.000
rs2412710 lBF = `-0.00629692` Chr`15` : `42,683,787`	0.000	1.000	0.000
rs72699765 lBF = `-0.0508001` Chr`15` : `25,829,197`	0.000	1.000	0.000
rs4775413 lBF = `-0.0863616` Chr`15` : `61,840,103`	0.000	1.000	0.000
rs12593229 lBF = `23.234` Chr`15` : `78,765,290`	0.000	1.000	0.000
rs72743477 lBF = `17.9025` Chr`15` : `67,464,291`	0.000	1.000	0.000
rs12593950 lBF = `17.8006` Chr`15` : `78,920,935`	0.000	1.000	0.000
rs4887072 lBF = `17.5612` Chr`15` : `78,925,435`	0.000	1.000	0.000
rs75334015 lBF = `17.4139` Chr`15` : `40,551,636`	0.000	1.000	0.000
rs28534575 lBF = `17.1451` Chr`15` : `78,923,845`	0.000	1.000	0.000
rs117023793 lBF = `15.2441` Chr`15` : `32,065,095`	0.000	1.000	0.000
rs7167085 lBF = `15.101` Chr`15` : `91,406,188`	0.000	1.000	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.000	1.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.000	1.000	0.000
rs117599750 lBF = `11.7875` Chr`15` : `40,091,332`	0.000	1.000	0.000
rs77701960 lBF = `10.9141` Chr`15` : `82,075,642`	0.000	1.000	0.000
rs518425 lBF = `10.5967` Chr`15` : `78,883,813`	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
rs1568679 lBF = `0.467715` Chr`15` : `37,349,802`	0.000	1.000	0.000
rs1124769 lBF = `0.388304` Chr`15` : `51,352,249`	0.000	1.000	0.000
rs142609537 lBF = `0.141399` Chr`15` : `96,218,894`	0.000	1.000	0.000
rs10519210 lBF = `0.109365` Chr`15` : `63,737,925`	0.000	1.000	0.000
rs4432245 lBF = `0.0990814` Chr`15` : `40,324,481`	0.000	1.000	0.000
rs78539969 lBF = `0.0364231` Chr`15` : `39,347,046`	0.000	1.000	0.000
rs142453246 lBF = `0.00836791` Chr`15` : `49,154,718`	0.000	1.000	0.000
rs12591257 lBF = `0.00372642` Chr`15` : `87,064,089`	0.000	1.000	0.000
rs17137734 lBF = `0.00358657` Chr`15` : `27,507,773`	0.000	1.000	0.000
rs744738 lBF = `0.00313677` Chr`15` : `96,372,629`	0.000	1.000	0.000
rs72744944 lBF = `-0.00103299` Chr`15` : `56,930,791`	0.000	1.000	0.000
rs7174989 lBF = `-0.00536998` Chr`15` : `33,953,941`	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

0.6370

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.4661

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9993

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9827

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9822

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9789

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9583

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9581

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.9550

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9536

Cluster X0064

log Bayes Factor = 166.06

contains 10 variants

0.9501

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9320

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9208

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9137

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9111

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9083

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9046

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9009

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8997

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.8962

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.8955

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8936

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.8902

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.8886

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8876

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8822

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8816

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8793

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.8776

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8770

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8761

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.8723

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.8700

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8698

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8678

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8627

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8558

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.8482

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.8431

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8351

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.8314

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8262

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.8241

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.8238

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.8153

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8135

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8059

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8050

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8036

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.8034

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7999

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.7993

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.7860

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7852

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7851

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.7818

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7748

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.7723

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7711

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7679

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7613

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7596

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7584

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7563

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7537

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7414

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7356

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7337

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7309

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7285

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.7271

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.7251

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7240

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.7237

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7151

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.7138

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7041

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.6996

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.6956

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.6896

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.6750

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.6736

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6648

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6626

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.6625

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.6563

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6460

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6399

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.6354

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.6350

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.6334

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6098

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.6073

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.6072

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.6036

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.5978

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5919

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5887

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5621

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.5493

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5453

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.5433

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.5410

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5288

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5173

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5085

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5024

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4885

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4733

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4312

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.4156

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4086

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.4039

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.3890

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3696

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3618

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.3579

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.3438

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3143

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.3121

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3031

Cluster X0226

log Bayes Factor = 145.726

contains 8 variants

0.2974

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2754

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.2490

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.2458

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2348

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.2295

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.2129

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.2002

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1733

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1725

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1318

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1289

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1185

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1032

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.0968

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.0909

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.0577

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0517

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`)