TreeWAS – [Z94.0] Kidney 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
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.806	0.194	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.792	0.208	0.000
rs73154143 lBF = `22.4344` Chr`22` : `26,354,531`	0.641	0.359	0.000
rs62239058 lBF = `15.647` Chr`22` : `32,643,460`	0.594	0.406	0.000
rs142030651 lBF = `17.2897` Chr`22` : `41,513,727`	0.551	0.449	0.000
rs117172015 lBF = `17.2619` Chr`22` : `48,636,428`	0.550	0.450	0.000
rs76119306 lBF = `14.2002` Chr`22` : `46,860,872`	0.538	0.462	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.527	0.473	0.000
rs41278851 lBF = `11.6082` Chr`22` : `30,094,366`	0.499	0.501	0.000
rs73156729 lBF = `24.0018` Chr`22` : `31,319,187`	0.486	0.514	0.000
rs62239049 lBF = `16.4894` Chr`22` : `32,628,900`	0.483	0.516	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.468	0.532	0.000
rs144191434 lBF = `3.26906` Chr`22` : `20,004,100`	0.460	0.539	0.000
rs5761960 lBF = `17.4635` Chr`22` : `27,491,363`	0.457	0.543	0.000
rs78060012 lBF = `18.2526` Chr`22` : `46,499,106`	0.456	0.544	0.000
rs9617470 lBF = `17.1626` Chr`22` : `49,210,125`	0.422	0.578	0.000
rs11705604 lBF = `21.7702` Chr`22` : `43,719,422`	0.421	0.579	0.000
rs117082835 lBF = `20.3366` Chr`22` : `27,493,062`	0.399	0.600	0.000
rs76569725 lBF = `15.2089` Chr`22` : `26,383,294`	0.394	0.606	0.000
rs17648606 lBF = `18.9469` Chr`22` : `30,516,469`	0.394	0.606	0.000
rs73171291 lBF = `12.2662` Chr`22` : `45,904,019`	0.348	0.652	0.000
rs117666218 lBF = `19.7467` Chr`22` : `26,580,013`	0.330	0.670	0.000
rs140112498 lBF = `18.6032` Chr`22` : `38,026,059`	0.301	0.699	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.263	0.737	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.222	0.778	0.000
rs45552035 lBF = `17.8512` Chr`22` : `28,175,232`	0.049	0.951	0.000
rs117641416 lBF = `30.5709` Chr`22` : `51,123,287`	0.045	0.954	0.000
rs9621532 lBF = `0.076712` Chr`22` : `33,084,511`	0.044	0.956	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.038	0.962	0.000
rs71330778 lBF = `9.66342` Chr`22` : `45,444,397`	0.032	0.968	0.000
rs150927461 lBF = `0.0405878` Chr`22` : `48,494,653`	0.022	0.978	0.000
rs17003074 lBF = `14.5856` Chr`22` : `42,817,666`	0.019	0.980	0.000
rs4822024 lBF = `0.985029` Chr`22` : `41,757,647`	0.018	0.982	0.000
rs74805376 lBF = `13.9121` Chr`22` : `25,978,464`	0.016	0.983	0.000
rs56113960 lBF = `17.1557` Chr`22` : `21,355,501`	0.015	0.984	0.000
rs190040215 lBF = `4.17884` Chr`22` : `45,274,546`	0.013	0.987	0.000
rs56253436 lBF = `5.26182` Chr`22` : `40,855,131`	0.012	0.988	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.009	0.991	0.000
rs80088139 lBF = `2.75776` Chr`22` : `48,923,459`	0.008	0.991	0.000
rs1012068 lBF = `-0.0210016` Chr`22` : `32,265,903`	0.000	0.992	0.008
rs139509979 lBF = `0.454749` Chr`22` : `33,585,148`	0.008	0.992	0.001
rs2022068 lBF = `-0.0120191` Chr`22` : `37,199,806`	0.000	0.993	0.007
rs688034 lBF = `-0.053714` Chr`22` : `26,689,635`	0.006	0.994	0.000
rs79661460 lBF = `14.8033` Chr`22` : `45,380,889`	0.006	0.994	0.000
rs17879961 lBF = `0.00642728` Chr`22` : `29,121,087`	0.006	0.994	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.005	0.994	0.000
rs77885044 lBF = `15.7004` Chr`22` : `28,501,414`	0.005	0.995	0.000
rs75972762 lBF = `14.0091` Chr`22` : `27,621,252`	0.005	0.995	0.000
rs727563 lBF = `0.457157` Chr`22` : `41,867,377`	0.000	0.995	0.005
rs11913358 lBF = `21.5562` Chr`22` : `18,288,040`	0.004	0.996	0.000
rs16986825 lBF = `0.132453` Chr`22` : `29,300,306`	0.000	0.996	0.004
rs2412973 lBF = `4.40452` Chr`22` : `30,529,631`	0.000	0.997	0.003
rs7286215 lBF = `15.0684` Chr`22` : `28,397,709`	0.003	0.997	0.000
rs36600 lBF = `0.00098495` Chr`22` : `30,337,586`	0.003	0.997	0.000
rs713875 lBF = `4.08209` Chr`22` : `30,592,487`	0.003	0.997	0.000
rs4822752 lBF = `-0.144356` Chr`22` : `27,011,420`	0.000	0.997	0.003
rs17806562 lBF = `12.277` Chr`22` : `17,450,247`	0.003	0.997	0.000
rs1003342 lBF = `4.38421` Chr`22` : `30,570,022`	0.003	0.997	0.000
rs7286472 lBF = `0.337432` Chr`22` : `34,386,473`	0.000	0.997	0.003
rs3747093 lBF = `0.00944135` Chr`22` : `21,984,379`	0.003	0.997	0.000
rs11089637 lBF = `-0.0390982` Chr`22` : `21,979,096`	0.003	0.997	0.000
rs62228064 lBF = `63.223` Chr`22` : `46,381,414`	0.000	0.997	0.003
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.002	0.997	0.000
rs78858203 lBF = `14.4759` Chr`22` : `29,625,946`	0.002	0.997	0.000
rs3218255 lBF = `0.0957903` Chr`22` : `37,544,486`	0.002	0.997	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.002	0.998	0.000
rs5763767 lBF = `4.40784` Chr`22` : `30,493,882`	0.000	0.998	0.002
rs12627970 lBF = `2.81662` Chr`22` : `39,721,745`	0.000	0.998	0.002
rs2412971 lBF = `4.40088` Chr`22` : `30,494,371`	0.000	0.998	0.002
rs2412970 lBF = `4.44025` Chr`22` : `30,486,826`	0.000	0.998	0.002
rs112090150 lBF = `14.7051` Chr`22` : `46,270,236`	0.002	0.998	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.002	0.998	0.000
rs2239815 lBF = `1.30554` Chr`22` : `29,192,670`	0.000	0.998	0.002
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.002	0.998	0.000
rs4822410 lBF = `0.0510133` Chr`22` : `23,765,265`	0.002	0.998	0.000
rs3218251 lBF = `0.00957024` Chr`22` : `37,545,505`	0.002	0.998	0.000
rs131654 lBF = `-0.0727738` Chr`22` : `21,917,190`	0.002	0.998	0.000
rs2235852 lBF = `-0.0419029` Chr`22` : `41,661,154`	0.002	0.998	0.000
rs8135665 lBF = `0.181541` Chr`22` : `38,476,276`	0.000	0.998	0.002
rs17000918 lBF = `0.00067283` Chr`22` : `49,812,502`	0.001	0.998	0.000
rs591044 lBF = `-0.038171` Chr`22` : `26,697,195`	0.001	0.999	0.000
rs2256609 lBF = `0.471493` Chr`22` : `21,925,017`	0.001	0.999	0.000
rs2266959 lBF = `0.458235` Chr`22` : `21,922,904`	0.001	0.999	0.000
rs3788338 lBF = `7.28112` Chr`22` : `23,412,058`	0.001	0.999	0.000
rs1062753 lBF = `0.0539761` Chr`22` : `42,392,811`	0.001	0.999	0.000
rs2266961 lBF = `0.510957` Chr`22` : `21,928,597`	0.001	0.999	0.000
rs5754344 lBF = `0.515061` Chr`22` : `21,963,786`	0.001	0.999	0.000
rs4821116 lBF = `0.550126` Chr`22` : `21,973,319`	0.001	0.999	0.000
rs13054085 lBF = `0.0541055` Chr`22` : `48,630,184`	0.001	0.999	0.000
rs117496069 lBF = `0.00009905` Chr`22` : `37,405,662`	0.001	0.999	0.000
rs5754217 lBF = `0.156372` Chr`22` : `21,939,675`	0.001	0.999	0.000
rs181362 lBF = `0.170323` Chr`22` : `21,932,068`	0.001	0.999	0.000
rs4821112 lBF = `0.188535` Chr`22` : `21,964,761`	0.001	0.999	0.000
rs2283790 lBF = `0.188367` Chr`22` : `21,956,653`	0.001	0.999	0.000
rs7444 lBF = `0.183526` Chr`22` : `21,976,934`	0.001	0.999	0.000
rs181359 lBF = `0.183435` Chr`22` : `21,928,641`	0.001	0.999	0.000
rs2238732 lBF = `1.16539` Chr`22` : `18,915,347`	0.001	0.999	0.000
rs738322 lBF = `0.0783808` Chr`22` : `38,569,006`	0.001	0.999	0.000
rs182382461 lBF = `0` Chr`22` : `22,358,941`	0.001	0.999	0.001
rs149157446 lBF = `0` Chr`22` : `44,305,574`	0.001	0.999	0.001
rs79384503 lBF = `0` Chr`22` : `22,047,969`	0.001	0.999	0.001
rs183544847 lBF = `0` Chr`22` : `38,991,553`	0.001	0.999	0.001
rs1137256 lBF = `0` Chr`22` : `42,968,514`	0.001	0.999	0.001
rs744016 lBF = `-0.0798765` Chr`22` : `27,042,106`	0.000	0.999	0.001
rs5756931 lBF = `-0.00793616` Chr`22` : `38,546,033`	0.001	0.999	0.000
rs12537 lBF = `-0.055899` Chr`22` : `30,423,460`	0.000	0.999	0.001
rs738409 lBF = `54.3962` Chr`22` : `44,324,727`	0.001	0.999	0.000
rs10048897 lBF = `-0.00064773` Chr`22` : `18,260,704`	0.000	0.999	0.001
rs149693590 lBF = `7.52806` Chr`22` : `31,976,149`	0.001	0.999	0.000
rs9607782 lBF = `-0.0927009` Chr`22` : `41,587,556`	0.001	0.999	0.000
rs132390 lBF = `1.09265` Chr`22` : `29,621,477`	0.000	0.999	0.001
rs2540641 lBF = `-0.0569518` Chr`22` : `18,959,684`	0.001	0.999	0.000
rs2075726 lBF = `0.039132` Chr`22` : `37,310,046`	0.001	0.999	0.000
rs968451 lBF = `4.68478` Chr`22` : `39,670,851`	0.000	0.999	0.001
rs62227724 lBF = `0.0758825` Chr`22` : `44,523,907`	0.000	0.999	0.001
rs9607469 lBF = `0.0726393` Chr`22` : `37,919,267`	0.000	0.999	0.001
rs3788567 lBF = `-0.0570702` Chr`22` : `40,006,035`	0.000	0.999	0.001
rs117678708 lBF = `8.2297` Chr`22` : `31,486,607`	0.000	0.999	0.001
rs2413121 lBF = `7.58938` Chr`22` : `32,895,978`	0.001	0.999	0.000
rs742004 lBF = `0.057125` Chr`22` : `27,435,820`	0.001	0.999	0.000
rs13447287 lBF = `0.01543` Chr`22` : `19,506,124`	0.000	0.999	0.001
rs41262444 lBF = `14.5044` Chr`22` : `25,959,702`	0.001	0.999	0.000
rs7289126 lBF = `-0.0573819` Chr`22` : `38,628,306`	0.001	0.999	0.000
rs4820425 lBF = `-0.088309` Chr`22` : `41,431,342`	0.001	0.999	0.000
rs9615264 lBF = `0.0382201` Chr`22` : `46,632,589`	0.000	0.999	0.001
rs16982689 lBF = `0.00249455` Chr`22` : `22,436,319`	0.001	0.999	0.000
rs3747113 lBF = `-0.0741355` Chr`22` : `24,717,518`	0.001	0.999	0.000
rs118118953 lBF = `13.9369` Chr`22` : `34,002,123`	0.001	0.999	0.000
rs2298428 lBF = `0.226713` Chr`22` : `21,982,892`	0.001	0.999	0.000
rs58667 lBF = `-0.0990538` Chr`22` : `45,668,012`	0.001	0.999	0.000
rs1034566 lBF = `0.496841` Chr`22` : `19,984,277`	0.000	0.999	0.001
rs8141797 lBF = `-0.00570029` Chr`22` : `24,582,041`	0.000	0.999	0.001
rs28520003 lBF = `32.0593` Chr`22` : `46,411,969`	0.000	0.999	0.001
rs2235776 lBF = `14.8289` Chr`22` : `44,377,999`	0.001	0.999	0.000
rs7292297 lBF = `5.46774` Chr`22` : `46,458,123`	0.000	0.999	0.001
rs16985179 lBF = `0.13392` Chr`22` : `28,029,538`	0.001	0.999	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.001	0.999	0.000
rs2284063 lBF = `0.0780543` Chr`22` : `38,544,298`	0.001	0.999	0.000
rs6001027 lBF = `0.0686601` Chr`22` : `38,545,619`	0.001	0.999	0.000
rs10483182 lBF = `-0.0132389` Chr`22` : `35,135,106`	0.001	0.999	0.000
rs116000286 lBF = `25.5967` Chr`22` : `46,375,013`	0.001	0.999	0.000
rs9627391 lBF = `8.0719` Chr`22` : `46,447,097`	0.000	0.999	0.001
rs2413045 lBF = `0.288189` Chr`22` : `31,665,862`	0.000	0.999	0.001
rs6006893 lBF = `-0.0169357` Chr`22` : `45,253,895`	0.001	0.999	0.000
rs2267193 lBF = `0.00897394` Chr`22` : `33,746,526`	0.000	0.999	0.000
rs2040771 lBF = `-0.0641292` Chr`22` : `19,161,935`	0.001	0.999	0.000
rs909685 lBF = `1.33857` Chr`22` : `39,747,671`	0.000	0.999	0.001
rs2069235 lBF = `1.31802` Chr`22` : `39,747,780`	0.000	0.999	0.001
rs12628854 lBF = `0.0944742` Chr`22` : `19,289,715`	0.000	0.999	0.000
rs2238776 lBF = `0.0344012` Chr`22` : `19,757,892`	0.001	0.999	0.000
rs77684214 lBF = `11.7871` Chr`22` : `22,519,071`	0.000	0.999	0.000
rs5992105 lBF = `10.7108` Chr`22` : `18,283,247`	0.000	0.999	0.000
rs143863913 lBF = `0.0233592` Chr`22` : `33,489,111`	0.000	0.999	0.000
rs54211 lBF = `-0.0404144` Chr`22` : `39,687,484`	0.000	0.999	0.000
rs62228062 lBF = `150.849` Chr`22` : `46,381,234`	0.000	0.999	0.001
rs12157904 lBF = `0.988134` Chr`22` : `37,982,012`	0.000	0.999	0.000
rs12628463 lBF = `0.0519789` Chr`22` : `19,388,809`	0.000	0.999	0.000
rs16993271 lBF = `0.0193084` Chr`22` : `34,307,851`	0.000	0.999	0.000
rs149411586 lBF = `0.0107542` Chr`22` : `32,351,292`	0.000	0.999	0.000
rs8140172 lBF = `-0.00137143` Chr`22` : `44,204,319`	0.000	0.999	0.000
rs2160908 lBF = `-0.0316544` Chr`22` : `37,586,792`	0.001	0.999	0.000
rs2267386 lBF = `5.19951` Chr`22` : `38,832,112`	0.000	0.999	0.000
rs67947502 lBF = `0.0183611` Chr`22` : `30,487,259`	0.000	0.999	0.000
rs9625963 lBF = `14.9391` Chr`22` : `44,327,219`	0.000	1.000	0.000
rs5752209 lBF = `1.88224` Chr`22` : `26,189,657`	0.000	1.000	0.000
rs75617873 lBF = `0.181826` Chr`22` : `44,526,105`	0.000	1.000	0.000
rs150663730 lBF = `0.0134999` Chr`22` : `33,827,478`	0.000	1.000	0.000
rs149318287 lBF = `0.0116317` Chr`22` : `33,825,468`	0.000	1.000	0.000
rs1001021 lBF = `0.00306894` Chr`22` : `26,403,599`	0.000	1.000	0.000
rs5763662 lBF = `0.00195181` Chr`22` : `30,378,703`	0.000	1.000	0.000
rs5750250 lBF = `-0.0296204` Chr`22` : `36,708,483`	0.000	1.000	0.000
rs12483959 lBF = `30.8217` Chr`22` : `44,325,996`	0.000	1.000	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.000	1.000	0.000
rs74754583 lBF = `14.7953` Chr`22` : `20,861,290`	0.000	1.000	0.000
rs1207393 lBF = `0.0775842` Chr`22` : `26,653,362`	0.000	1.000	0.000
rs141503849 lBF = `0.0241071` Chr`22` : `19,691,893`	0.000	1.000	0.000
rs5763911 lBF = `-0.0227399` Chr`22` : `20,797,289`	0.000	1.000	0.000
rs2294239 lBF = `-0.0394551` Chr`22` : `29,449,477`	0.000	1.000	0.000
rs3788317 lBF = `-0.120619` Chr`22` : `19,889,825`	0.000	1.000	0.000
rs4823173 lBF = `31.1034` Chr`22` : `44,328,730`	0.000	1.000	0.000
rs62231069 lBF = `7.8836` Chr`22` : `45,469,482`	0.000	1.000	0.000
rs229526 lBF = `6.44076` Chr`22` : `37,581,422`	0.000	1.000	0.000
rs16982515 lBF = `0.480481` Chr`22` : `27,041,283`	0.000	1.000	0.000
rs112059289 lBF = `-0.00694887` Chr`22` : `36,298,862`	0.000	1.000	0.000
rs62236223 lBF = `-0.0183634` Chr`22` : `31,863,554`	0.000	1.000	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	0.000	1.000	0.000
rs5762430 lBF = `3.21338` Chr`22` : `28,378,472`	0.000	1.000	0.000
rs8184969 lBF = `1.45693` Chr`22` : `26,204,552`	0.000	1.000	0.000
rs5752223 lBF = `1.45541` Chr`22` : `26,207,910`	0.000	1.000	0.000
rs180803 lBF = `0.319088` Chr`22` : `24,658,858`	0.000	1.000	0.000
rs5762311 lBF = `0.250694` Chr`22` : `28,090,207`	0.000	1.000	0.000
rs4823006 lBF = `0.117798` Chr`22` : `29,451,671`	0.000	1.000	0.000
rs2413143 lBF = `0.0646862` Chr`22` : `33,056,859`	0.000	1.000	0.000
rs77049423 lBF = `0.00316269` Chr`22` : `23,628,739`	0.000	1.000	0.000
rs2283873 lBF = `0.00255327` Chr`22` : `31,013,296`	0.000	1.000	0.000
rs1058172 lBF = `-0.0294819` Chr`22` : `42,523,528`	0.000	1.000	0.000
rs4820792 lBF = `-0.0791374` Chr`22` : `29,161,007`	0.000	1.000	0.000
rs4821318 lBF = `8.96704` Chr`22` : `35,327,772`	0.000	1.000	0.000
rs2413583 lBF = `6.31604` Chr`22` : `39,659,773`	0.000	1.000	0.000
rs2143178 lBF = `5.79139` Chr`22` : `39,660,829`	0.000	1.000	0.000
rs9627183 lBF = `0.171782` Chr`22` : `48,284,514`	0.000	1.000	0.000
rs55728055 lBF = `0.0609935` Chr`22` : `32,093,268`	0.000	1.000	0.000
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rs229527 lBF = `7.23294` Chr`22` : `37,581,485`	0.000	1.000	0.000
rs5758511 lBF = `0.804358` Chr`22` : `42,336,172`	0.000	1.000	0.000
rs12530 lBF = `0.291577` Chr`22` : `32,783,904`	0.000	1.000	0.000
rs11705555 lBF = `0.0806388` Chr`22` : `28,206,912`	0.000	1.000	0.000
rs470093 lBF = `0.0420045` Chr`22` : `44,276,171`	0.000	1.000	0.000
rs9609565 lBF = `0.0341174` Chr`22` : `32,867,528`	0.000	1.000	0.000
rs138880 lBF = `0.0149815` Chr`22` : `50,218,611`	0.000	1.000	0.000
rs7286601 lBF = `-0.0179393` Chr`22` : `51,121,416`	0.000	1.000	0.000
rs133980 lBF = `-0.018444` Chr`22` : `28,022,728`	0.000	1.000	0.000
rs4417 lBF = `-0.0253634` Chr`22` : `27,416,825`	0.000	1.000	0.000
rs2239785 lBF = `-0.0512348` Chr`22` : `36,661,330`	0.000	1.000	0.000
rs1210638 lBF = `-0.0658566` Chr`22` : `18,981,563`	0.000	1.000	0.000
rs56091001 lBF = `-0.071908` Chr`22` : `50,346,042`	0.000	1.000	0.000
rs6009527 lBF = `-0.0799199` Chr`22` : `49,570,587`	0.000	1.000	0.000
rs4821897 lBF = `-0.09174` Chr`22` : `39,835,587`	0.000	1.000	0.000
rs2076054 lBF = `-0.0947958` Chr`22` : `32,832,874`	0.000	1.000	0.000
rs5769765 lBF = `-0.100685` Chr`22` : `50,271,176`	0.000	1.000	0.000
rs136161 lBF = `-0.101812` Chr`22` : `36,657,432`	0.000	1.000	0.000
rs8135828 lBF = `1.77947` Chr`22` : `29,929,239`	0.000	1.000	0.000
rs5756506 lBF = `0.442918` Chr`22` : `37,467,392`	0.000	1.000	0.000
rs5756504 lBF = `0.299751` Chr`22` : `37,467,270`	0.000	1.000	0.000
rs1065852 lBF = `0.287641` Chr`22` : `42,526,694`	0.000	1.000	0.000
rs400946 lBF = `-0.011503` Chr`22` : `21,431,054`	0.000	1.000	0.000
rs5771040 lBF = `-0.0156233` Chr`22` : `50,902,390`	0.000	1.000	0.000
rs10854554 lBF = `-0.0191446` Chr`22` : `19,610,682`	0.000	1.000	0.000
rs5764106 lBF = `-0.045893` Chr`22` : `44,561,287`	0.000	1.000	0.000
rs130555 lBF = `-0.0561236` Chr`22` : `33,183,789`	0.000	1.000	0.000
rs7985 lBF = `-0.0653009` Chr`22` : `27,066,535`	0.000	1.000	0.000
rs131794 lBF = `-0.0754748` Chr`22` : `50,971,752`	0.000	1.000	0.000
rs1034394 lBF = `-0.0756216` Chr`22` : `34,823,828`	0.000	1.000	0.000
rs5995441 lBF = `-0.0809395` Chr`22` : `37,921,674`	0.000	1.000	0.000
rs4821132 lBF = `-0.0951207` Chr`22` : `33,566,587`	0.000	1.000	0.000
rs137686 lBF = `0.583681` Chr`22` : `39,739,638`	0.000	1.000	0.000
rs2294369 lBF = `0.474385` Chr`22` : `40,075,400`	0.000	1.000	0.000
rs877529 lBF = `0.13465` Chr`22` : `39,542,292`	0.000	1.000	0.000
rs13053817 lBF = `0.0781188` Chr`22` : `29,847,722`	0.000	1.000	0.000
rs9626711 lBF = `0.019762` Chr`22` : `47,686,103`	0.000	1.000	0.000
rs2213770 lBF = `-0.0158797` Chr`22` : `27,244,685`	0.000	1.000	0.000
rs2071748 lBF = `-0.0754053` Chr`22` : `35,777,618`	0.000	1.000	0.000
rs5748871 lBF = `-0.0755929` Chr`22` : `17,603,477`	0.000	1.000	0.000
rs743793 lBF = `-0.0868767` Chr`22` : `33,561,746`	0.000	1.000	0.000
rs1985671 lBF = `-0.088326` Chr`22` : `45,961,904`	0.000	1.000	0.000
rs6009583 lBF = `-0.101983` Chr`22` : `49,677,646`	0.000	1.000	0.000
rs5760748 lBF = `-0.112051` Chr`22` : `25,334,977`	0.000	1.000	0.000
rs5757949 lBF = `-0.116045` Chr`22` : `40,820,151`	0.000	1.000	0.000
rs6005551 lBF = `0.277431` Chr`22` : `28,053,797`	0.000	1.000	0.000
rs6003958 lBF = `0.25855` Chr`22` : `24,264,089`	0.000	1.000	0.000
rs138597 lBF = `0.120585` Chr`22` : `44,968,530`	0.000	1.000	0.000
rs10084630 lBF = `0.0339975` Chr`22` : `37,679,487`	0.000	1.000	0.000
rs2072883 lBF = `0.00343165` Chr`22` : `43,435,668`	0.000	1.000	0.000
rs131788 lBF = `0.00271548` Chr`22` : `50,976,754`	0.000	1.000	0.000
rs1974653 lBF = `0.00261878` Chr`22` : `20,134,350`	0.000	1.000	0.000
rs4493363 lBF = `-0.0149821` Chr`22` : `35,144,411`	0.000	1.000	0.000
rs4820599 lBF = `-0.101277` Chr`22` : `24,990,213`	0.000	1.000	0.000
rs28698504 lBF = `9.62339` Chr`22` : `46,403,715`	0.000	1.000	0.000
rs4077498 lBF = `7.88596` Chr`22` : `46,394,928`	0.000	1.000	0.000
rs4820539 lBF = `0.351856` Chr`22` : `23,477,970`	0.000	1.000	0.000
rs1014971 lBF = `0.0985512` Chr`22` : `39,332,623`	0.000	1.000	0.000
rs34101942 lBF = `0.0422714` Chr`22` : `39,563,912`	0.000	1.000	0.000
rs3804047 lBF = `-0.010417` Chr`22` : `19,879,637`	0.000	1.000	0.000
rs4823246 lBF = `-0.0340714` Chr`22` : `45,011,761`	0.000	1.000	0.000
rs139909 lBF = `-0.0378696` Chr`22` : `40,697,581`	0.000	1.000	0.000
rs130318 lBF = `-0.0638642` Chr`22` : `44,476,064`	0.000	1.000	0.000
rs11089937 lBF = `-0.0664504` Chr`22` : `22,506,569`	0.000	1.000	0.000
rs5751902 lBF = `-0.0770706` Chr`22` : `24,996,630`	0.000	1.000	0.000
rs139371 lBF = `-0.0847461` Chr`22` : `39,519,196`	0.000	1.000	0.000
rs138249 lBF = `-0.0952154` Chr`22` : `50,569,790`	0.000	1.000	0.000
rs9611177 lBF = `-0.0997286` Chr`22` : `39,840,130`	0.000	1.000	0.000
rs133885 lBF = `-0.127946` Chr`22` : `26,159,289`	0.000	1.000	0.000
rs855791 lBF = `4.53368` Chr`22` : `37,462,936`	0.000	1.000	0.000
rs2413450 lBF = `2.74539` Chr`22` : `37,470,224`	0.000	1.000	0.000
rs4820268 lBF = `2.51794` Chr`22` : `37,469,591`	0.000	1.000	0.000
rs4820408 lBF = `0.37288` Chr`22` : `40,604,945`	0.000	1.000	0.000
rs6001832 lBF = `0.207048` Chr`22` : `40,592,214`	0.000	1.000	0.000
rs9616906 lBF = `0.0911128` Chr`22` : `51,104,680`	0.000	1.000	0.000
rs2142694 lBF = `0.0664218` Chr`22` : `42,542,870`	0.000	1.000	0.000
rs5767218 lBF = `0.0109373` Chr`22` : `46,879,314`	0.000	1.000	0.000
rs5749696 lBF = `-0.00679886` Chr`22` : `22,063,337`	0.000	1.000	0.000
rs701428 lBF = `-0.0213852` Chr`22` : `20,228,542`	0.000	1.000	0.000
rs4821940 lBF = `-0.0349389` Chr`22` : `40,659,573`	0.000	1.000	0.000
rs134882 lBF = `-0.0445834` Chr`22` : `42,670,965`	0.000	1.000	0.000
rs138229 lBF = `-0.0578564` Chr`22` : `50,557,407`	0.000	1.000	0.000
rs7511006 lBF = `-0.0665898` Chr`22` : `50,676,259`	0.000	1.000	0.000
rs6002655 lBF = `-0.0701394` Chr`22` : `42,603,814`	0.000	1.000	0.000
rs117294 lBF = `-0.0830501` Chr`22` : `48,453,591`	0.000	1.000	0.000
rs4407 lBF = `-0.0873291` Chr`22` : `48,741,798`	0.000	1.000	0.000
rs5768709 lBF = `-0.091008` Chr`22` : `48,929,569`	0.000	1.000	0.000
rs2016586 lBF = `-0.10396` Chr`22` : `36,125,264`	0.000	1.000	0.000
rs5754891 lBF = `-0.122` Chr`22` : `34,602,188`	0.000	1.000	0.000
rs5771069 lBF = `0.00665707` Chr`22` : `50,435,480`	0.000	1.000	0.000
rs5758659 lBF = `-0.0570023` Chr`22` : `42,622,003`	0.000	1.000	0.000

This table lists the top 491 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

0.7669

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.5769

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.9998

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9991

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9990

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9956

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9946

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.9937

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9934

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9910

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9893

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.9872

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9840

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.9770

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9754

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9630

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9539

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9519

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9476

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9474

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9399

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9394

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9371

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9324

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.9309

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9306

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9275

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9201

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9156

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9070

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9040

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9014

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.9012

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.8910

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.8904

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8871

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8811

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8790

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.8771

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.8734

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.8710

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.8572

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8557

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.8436

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.8382

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.8343

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8273

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.8006

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.7913

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7904

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.7902

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.7885

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7761

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7698

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7613

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.7533

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.7527

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7503

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.7483

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7379

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7341

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.6751

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6555

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6476

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.6373

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6337

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6110

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5933

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.5813

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.5794

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.5675

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5584

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.5582

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5490

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.5445

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5318

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.5219

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5025

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4841

Cluster X0324

log Bayes Factor = 32.1341

contains 1 variants

0.4723

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.4717

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4468

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4399

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.4303

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4265

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.4202

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.4045

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.4037

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4018

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.3990

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.3818

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.3779

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.3647

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3567

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.3559

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.3297

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.3287

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.3196

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3031

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.2840

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2815

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.2727

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.2722

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2647

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2616

Cluster X0138

log Bayes Factor = 43.7891

contains 4 variants

0.2603

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.2600

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2540

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2509

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.2381

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.2287

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2175

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.2042

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.2015

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.2007

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1443

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.1411

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.1409

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.1399

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.1346

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.1228

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1205

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1178

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.1159

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1089

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1072

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.0963

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0852

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.0519

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`)