TreeWAS – [N17-N19] Renal failure

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
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	1.000	0.000	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	1.000	0.000	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	1.000	0.000	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	1.000	0.000	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	1.000	0.000	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	1.000	0.000	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	1.000	0.000	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	1.000	0.000	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	1.000	0.000	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	1.000	0.000	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	1.000	0.000	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	1.000	0.000	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	1.000	0.000	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	1.000	0.000	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	1.000	0.000	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	1.000	0.000	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	1.000	0.000	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	1.000	0.000	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	1.000	0.000	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	1.000	0.000	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	1.000	0.000	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	1.000	0.000	0.000
rs3117137 lBF = `112.986` Chr`6` : `32,309,911`	1.000	0.000	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	1.000	0.000	0.000
rs118141139 lBF = `12.2839` Chr`14` : `96,787,278`	1.000	0.000	0.000
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	1.000	0.000	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	1.000	0.000	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	1.000	0.000	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	1.000	0.000	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	1.000	0.000	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	1.000	0.000	0.000
rs424232 lBF = `110.822` Chr`6` : `32,208,324`	1.000	0.000	0.000
rs1150755 lBF = `380.176` Chr`6` : `32,038,550`	1.000	0.000	0.000
rs1150754 lBF = `379.048` Chr`6` : `32,050,758`	1.000	0.000	0.000
rs9276606 lBF = `193.378` Chr`6` : `32,736,695`	1.000	0.000	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	1.000	0.000	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	1.000	0.000	0.000
rs75911208 lBF = `8.932` Chr`22` : `39,905,549`	1.000	0.000	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	1.000	0.000	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	1.000	0.000	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	1.000	0.000	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	1.000	0.000	0.000
rs3134605 lBF = `121.175` Chr`6` : `32,159,956`	1.000	0.000	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	1.000	0.000	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	1.000	0.000	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	1.000	0.000	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	1.000	0.000	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	1.000	0.000	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	1.000	0.000	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	1.000	0.000	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	1.000	0.000	0.000
rs3132947 lBF = `120.316` Chr`6` : `32,176,782`	1.000	0.000	0.000
rs79459684 lBF = `24.9771` Chr`5` : `111,077,948`	1.000	0.000	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	1.000	0.000	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	1.000	0.000	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	1.000	0.000	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	1.000	0.000	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	1.000	0.000	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	1.000	0.000	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	1.000	0.000	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	1.000	0.000	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	1.000	0.000	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	1.000	0.000	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	1.000	0.000	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	1.000	0.000	0.000
rs9271541 lBF = `326.542` Chr`6` : `32,590,070`	1.000	0.000	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	1.000	0.000	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	1.000	0.000	0.000
rs3129942 lBF = `107.994` Chr`6` : `32,338,283`	1.000	0.000	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	1.000	0.000	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	1.000	0.000	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	1.000	0.000	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	1.000	0.000	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	1.000	0.000	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	1.000	0.000	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	1.000	0.000	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	1.000	0.000	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	1.000	0.000	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	1.000	0.000	0.000
rs805294 lBF = `275.309` Chr`6` : `31,688,217`	1.000	0.000	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	1.000	0.000	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	1.000	0.000	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	1.000	0.000	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	1.000	0.000	0.000
rs3130349 lBF = `160.685` Chr`6` : `32,147,696`	1.000	0.000	0.000
rs3131300 lBF = `159.177` Chr`6` : `32,151,934`	0.999	0.001	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.999	0.001	0.000
rs9270493 lBF = `326.186` Chr`6` : `32,559,110`	0.999	0.001	0.000
rs1062070 lBF = `160.034` Chr`6` : `32,148,031`	0.999	0.001	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.999	0.001	0.000
rs3115671 lBF = `374.212` Chr`6` : `31,734,345`	0.999	0.001	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.999	0.001	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.999	0.001	0.000
rs1800625 lBF = `159.28` Chr`6` : `32,152,442`	0.999	0.001	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.999	0.001	0.000
rs2736157 lBF = `327.457` Chr`6` : `31,600,820`	0.999	0.001	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.999	0.001	0.000
rs3130484 lBF = `372.268` Chr`6` : `31,715,882`	0.999	0.001	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.999	0.001	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.999	0.001	0.000
rs3131378 lBF = `371.074` Chr`6` : `31,725,285`	0.999	0.001	0.000
rs707916 lBF = `270.513` Chr`6` : `31,697,558`	0.999	0.001	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.999	0.001	0.000
rs617058 lBF = `431.966` Chr`6` : `32,574,479`	0.999	0.001	0.000
rs3129763 lBF = `328.807` Chr`6` : `32,590,925`	0.999	0.001	0.000
rs78685710 lBF = `14.7268` Chr`3` : `189,149,244`	0.999	0.001	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.999	0.001	0.000
rs521828 lBF = `280.231` Chr`6` : `32,291,643`	0.999	0.001	0.000
rs558702 lBF = `374.263` Chr`6` : `31,870,326`	0.999	0.001	0.000
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.999	0.001	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.999	0.001	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.999	0.001	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.999	0.001	0.000
rs9272729 lBF = `402.73` Chr`6` : `32,609,594`	0.999	0.001	0.000
rs805304 lBF = `274.178` Chr`6` : `31,698,088`	0.999	0.001	0.000
rs112767144 lBF = `30.2394` Chr`8` : `134,263,916`	0.999	0.001	0.000
rs3094116 lBF = `185.203` Chr`6` : `30,738,408`	0.999	0.001	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.999	0.001	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.999	0.001	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.999	0.001	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.999	0.001	0.000
rs497309 lBF = `371.735` Chr`6` : `31,892,484`	0.999	0.001	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.999	0.001	0.000
rs36118983 lBF = `13.8019` Chr`10` : `91,313,291`	0.999	0.001	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.999	0.001	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.999	0.001	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.999	0.001	0.000
rs3117574 lBF = `371.897` Chr`6` : `31,725,230`	0.999	0.001	0.000
rs3131383 lBF = `375.87` Chr`6` : `31,704,294`	0.999	0.001	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.999	0.001	0.000
rs2858867 lBF = `291.547` Chr`6` : `32,575,325`	0.999	0.001	0.000
rs3130679 lBF = `370.698` Chr`6` : `31,807,540`	0.999	0.001	0.000
rs3130490 lBF = `367.956` Chr`6` : `31,739,120`	0.999	0.001	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.999	0.001	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.999	0.001	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.999	0.001	0.000
rs3131379 lBF = `372.271` Chr`6` : `31,721,033`	0.999	0.001	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.999	0.001	0.000
rs805305 lBF = `268.824` Chr`6` : `31,697,387`	0.999	0.001	0.000
rs73141422 lBF = `22.399` Chr`12` : `83,882,469`	0.999	0.001	0.000
rs1003879 lBF = `218.353` Chr`6` : `32,299,592`	0.999	0.001	0.000
rs12430240 lBF = `8.27933` Chr`13` : `51,372,668`	0.999	0.001	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.999	0.001	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.999	0.001	0.000
rs3094114 lBF = `183.094` Chr`6` : `30,738,921`	0.999	0.001	0.000
rs116568601 lBF = `17.2905` Chr`5` : `16,800,030`	0.999	0.001	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.999	0.001	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.999	0.001	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.999	0.001	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.999	0.001	0.000
rs75583295 lBF = `19.5736` Chr`8` : `63,596,650`	0.999	0.001	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.999	0.001	0.000
rs602875 lBF = `323.871` Chr`6` : `32,573,629`	0.999	0.001	0.000
rs2894254 lBF = `365.676` Chr`6` : `32,345,689`	0.998	0.001	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.998	0.002	0.000
rs3117577 lBF = `372.618` Chr`6` : `31,727,474`	0.998	0.002	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.998	0.002	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.998	0.002	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.998	0.002	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.998	0.002	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.998	0.002	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.998	0.002	0.000
rs79423378 lBF = `19.4481` Chr`3` : `101,810,579`	0.998	0.002	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.998	0.002	0.000
rs13119031 lBF = `9.34828` Chr`4` : `78,196,966`	0.998	0.002	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.998	0.002	0.000
rs3117575 lBF = `370.531` Chr`6` : `31,726,253`	0.998	0.002	0.000
rs77960360 lBF = `18.2632` Chr`10` : `17,147,270`	0.998	0.002	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.998	0.002	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.998	0.002	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.998	0.002	0.000
rs389884 lBF = `369.429` Chr`6` : `31,940,897`	0.998	0.002	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.998	0.002	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.998	0.002	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.998	0.002	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.998	0.002	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.998	0.002	0.000
rs74915990 lBF = `11.2822` Chr`4` : `163,837,003`	0.998	0.002	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.998	0.002	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.998	0.002	0.000
rs9272535 lBF = `325.29` Chr`6` : `32,606,756`	0.998	0.002	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.998	0.002	0.000
rs2523607 lBF = `349.755` Chr`6` : `31,322,790`	0.998	0.002	0.000
rs9269831 lBF = `259.034` Chr`6` : `32,550,012`	0.998	0.002	0.000
rs3129927 lBF = `367.788` Chr`6` : `32,333,827`	0.997	0.002	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.998	0.002	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.997	0.003	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.997	0.003	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.997	0.003	0.000
rs146081892 lBF = `11.9524` Chr`4` : `41,981,814`	0.997	0.003	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.997	0.003	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.997	0.003	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.997	0.003	0.000
rs707928 lBF = `282.972` Chr`6` : `31,742,590`	0.997	0.003	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.997	0.003	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.997	0.003	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.997	0.003	0.000
rs148517668 lBF = `16.9991` Chr`13` : `81,571,364`	0.997	0.003	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.997	0.003	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.997	0.003	0.000
rs113617295 lBF = `18.4784` Chr`6` : `30,719,481`	0.997	0.003	0.000
rs1062630 lBF = `299.357` Chr`6` : `31,138,107`	0.997	0.003	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.997	0.003	0.000
rs5744807 lBF = `13.1175` Chr`12` : `133,243,621`	0.997	0.003	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.997	0.003	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.997	0.003	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.997	0.003	0.000
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rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.986	0.014	0.000
rs116621148 lBF = `18.4988` Chr`6` : `30,939,768`	0.986	0.014	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.985	0.015	0.000
Affx-28446136 lBF = `288.862` Chr`6` : `31,233,510`	0.985	0.015	0.000
rs3131050 lBF = `124.919` Chr`6` : `30,760,025`	0.985	0.015	0.000
rs707929 lBF = `287.181` Chr`6` : `31,742,067`	0.985	0.015	0.000
rs12430077 lBF = `9.50458` Chr`13` : `52,609,208`	0.985	0.015	0.000
rs74343026 lBF = `6.74894` Chr`8` : `126,258,883`	0.985	0.015	0.000
rs117669821 lBF = `20.5156` Chr`14` : `88,258,889`	0.985	0.015	0.000
rs116223167 lBF = `21.4191` Chr`6` : `30,815,678`	0.985	0.015	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.985	0.015	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.985	0.015	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.985	0.015	0.000
rs67138555 lBF = `15.4054` Chr`10` : `16,461,877`	0.985	0.015	0.000
rs114639172 lBF = `14.2055` Chr`2` : `239,638,502`	0.985	0.015	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.985	0.015	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.985	0.015	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.985	0.015	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.985	0.015	0.000
rs78376112 lBF = `16.3379` Chr`10` : `134,761,067`	0.985	0.015	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.985	0.015	0.000
rs3134996 lBF = `399.72` Chr`6` : `32,636,866`	0.000	0.015	0.985
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.984	0.016	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.984	0.016	0.000
rs113454287 lBF = `16.3293` Chr`6` : `30,999,657`	0.984	0.016	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.984	0.016	0.000
rs1264352 lBF = `100.387` Chr`6` : `30,789,647`	0.984	0.016	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.984	0.016	0.000
rs3135394 lBF = `366.334` Chr`6` : `32,408,497`	0.982	0.016	0.002
rs2517490 lBF = `21.5202` Chr`6` : `31,038,756`	0.984	0.016	0.000
rs886423 lBF = `103.95` Chr`6` : `30,782,205`	0.984	0.016	0.000
rs75573379 lBF = `14.5368` Chr`1` : `229,224,247`	0.984	0.016	0.000
rs9262182 lBF = `12.7755` Chr`6` : `30,738,042`	0.984	0.016	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.984	0.016	0.000
rs2596500 lBF = `366.909` Chr`6` : `31,321,267`	0.984	0.016	0.000
rs114466565 lBF = `19.7848` Chr`6` : `30,898,751`	0.984	0.016	0.000
rs3130673 lBF = `124.517` Chr`6` : `30,746,519`	0.983	0.017	0.000
rs114133116 lBF = `20.4412` Chr`6` : `30,824,290`	0.983	0.017	0.000
rs17741506 lBF = `13.2067` Chr`19` : `58,458,516`	0.983	0.017	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.983	0.017	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.983	0.017	0.000
rs3099844 lBF = `346.136` Chr`6` : `31,448,976`	0.983	0.017	0.000
rs150006865 lBF = `16.2642` Chr`2` : `195,586,736`	0.983	0.017	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.983	0.017	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.983	0.017	0.000
rs114341818 lBF = `20.4453` Chr`6` : `30,844,081`	0.983	0.017	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.983	0.017	0.000
rs117730468 lBF = `15.6553` Chr`10` : `125,192,223`	0.983	0.017	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.983	0.017	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.983	0.017	0.000
rs77855512 lBF = `16.0644` Chr`17` : `12,141,091`	0.982	0.018	0.000
rs2517509 lBF = `22.4792` Chr`6` : `31,030,224`	0.982	0.018	0.000
rs1318498 lBF = `13.9758` Chr`1` : `246,557,784`	0.982	0.018	0.000
rs2523839 lBF = `21.8924` Chr`6` : `31,031,834`	0.982	0.018	0.000
rs3134762 lBF = `297.667` Chr`6` : `31,210,866`	0.982	0.018	0.000
rs6820069 lBF = `17.9919` Chr`4` : `178,283,370`	0.982	0.018	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.982	0.018	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.982	0.018	0.000
rs138243 lBF = `13.8285` Chr`22` : `50,564,750`	0.982	0.018	0.000
rs77958594 lBF = `15.106` Chr`1` : `166,365,665`	0.982	0.018	0.000
rs114450019 lBF = `13.3669` Chr`1` : `185,420,876`	0.982	0.018	0.000
rs9272219 lBF = `165.087` Chr`6` : `32,602,269`	0.981	0.019	0.000
rs805257 lBF = `274.411` Chr`6` : `31,634,193`	0.981	0.019	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.981	0.019	0.000
rs3134608 lBF = `99.9061` Chr`6` : `32,117,971`	0.981	0.019	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.981	0.019	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.981	0.019	0.000
rs72799599 lBF = `12.05` Chr`10` : `70,578,181`	0.981	0.019	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.981	0.019	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.981	0.019	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.981	0.019	0.000
rs75743946 lBF = `15.0395` Chr`5` : `141,650,336`	0.981	0.019	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.981	0.019	0.000
rs3132965 lBF = `101.313` Chr`6` : `32,146,997`	0.980	0.020	0.000
rs117929870 lBF = `16.9839` Chr`12` : `108,524,849`	0.980	0.020	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.980	0.020	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.980	0.020	0.000
rs117707626 lBF = `12.1178` Chr`10` : `101,670,704`	0.980	0.020	0.000
rs187353341 lBF = `19.0434` Chr`12` : `121,557,376`	0.980	0.020	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.980	0.020	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.980	0.020	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.980	0.020	0.000
rs3130284 lBF = `104.467` Chr`6` : `32,140,487`	0.980	0.020	0.000
rs526433 lBF = `17.8618` Chr`11` : `121,032,978`	0.979	0.021	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.979	0.021	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.979	0.021	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.979	0.021	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.979	0.021	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.979	0.021	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 X0031

log Bayes Factor = 111.103

contains 3 variants

0.9987

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.8159

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.7927

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

1.0000

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

1.0000

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

1.0000

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

1.0000

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

1.0000

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

1.0000

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

1.0000

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

1.0000

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

1.0000

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

1.0000

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

1.0000

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

1.0000

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

1.0000

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

1.0000

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

1.0000

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

1.0000

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

1.0000

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

1.0000

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

1.0000

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

1.0000

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

1.0000

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

1.0000

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

1.0000

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

1.0000

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

1.0000

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

1.0000

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

1.0000

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

1.0000

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

1.0000

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

1.0000

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

1.0000

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

1.0000

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

1.0000

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

1.0000

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

1.0000

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

1.0000

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

1.0000

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

1.0000

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

1.0000

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

1.0000

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

1.0000

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

1.0000

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9999

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9999

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.9999

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.9999

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9999

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.9999

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.9999

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.9999

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9998

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9998

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9998

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9997

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.9997

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9997

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9996

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9995

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9994

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.9993

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9993

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.9992

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.9991

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.9990

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.9984

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9981

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.9977

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9976

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9976

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9975

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.9973

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.9973

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9962

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.9962

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.9953

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9950

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.9937

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.9918

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.9846

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.9836

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9831

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9829

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.9762

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.9743

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.9682

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.9676

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9620

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.9541

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9510

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.9433

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.9168

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9054

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.9049

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8769

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.8463

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.8241

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.7868

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.7402

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7089

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.6698

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.6385

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6255

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.5989

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5854

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5723

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5655

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5542

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5238

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5199

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.5101

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4990

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.4877

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4874

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4709

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4528

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.4510

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.4341

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.4270

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.3815

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.3574

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.3138

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.3036

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2887

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.2794

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2774

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2647

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.2642

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2476

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.2443

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.2254

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2187

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.2122

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.2071

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1910

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.1888

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.1809

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.1701

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1700

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1674

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.1568

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1531

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1377

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.1364

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.1329

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.1236

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.1196

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.1164

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.1118

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.1113

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.1096

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.0805

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.0687

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0556

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.0510

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.

Parent term	Chapter XIV Diseases of the genitourinary system
Nested terms	N19 Unspecified renal failure N17 Acute renal failure N18 Chronic renal failure

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`)