TreeWAS – [N17.2] Acute renal failure with medullary necrosis

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
rs113989315 lBF = `8.44186` Chr`9` : `7,086,245`	0.717	0.283	0.000
rs61907580 lBF = `11.682` Chr`11` : `126,979,429`	0.717	0.283	0.000
rs76769018 lBF = `23.0474` Chr`3` : `101,601,059`	0.716	0.284	0.000
rs7418032 lBF = `19.7409` Chr`1` : `195,229,043`	0.715	0.285	0.000
rs78745584 lBF = `13.2553` Chr`11` : `97,029,941`	0.715	0.285	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.714	0.286	0.000
rs74156047 lBF = `30.5215` Chr`1` : `210,892,311`	0.714	0.286	0.000
rs111583183 lBF = `8.82259` Chr`11` : `127,014,664`	0.714	0.286	0.000
rs17070605 lBF = `12.7804` Chr`13` : `22,270,139`	0.714	0.286	0.000
rs74823263 lBF = `20.2627` Chr`22` : `43,347,699`	0.714	0.286	0.000
rs117362018 lBF = `29.1711` Chr`6` : `78,246,632`	0.714	0.286	0.000
rs76014476 lBF = `18.1518` Chr`7` : `105,107,249`	0.714	0.286	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.713	0.286	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.713	0.287	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.713	0.287	0.000
rs118134255 lBF = `10.2692` Chr`17` : `78,461,019`	0.713	0.287	0.000
rs116660079 lBF = `13.824` Chr`4` : `110,756,842`	0.713	0.287	0.000
rs56150553 lBF = `20.6531` Chr`17` : `73,389,145`	0.713	0.287	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.712	0.287	0.000
rs9276606 lBF = `193.378` Chr`6` : `32,736,695`	0.712	0.288	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.712	0.288	0.000
rs6971778 lBF = `18.3704` Chr`7` : `10,290,706`	0.712	0.288	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.712	0.288	0.000
rs3129949 lBF = `121.688` Chr`6` : `32,298,814`	0.712	0.288	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.711	0.289	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.711	0.289	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.711	0.289	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.711	0.289	0.000
rs79928839 lBF = `14.2328` Chr`1` : `22,225,921`	0.711	0.289	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.710	0.289	0.000
rs241439 lBF = `96.0758` Chr`6` : `32,797,537`	0.710	0.289	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.710	0.290	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.710	0.290	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.710	0.290	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.710	0.290	0.000
rs17885543 lBF = `13.9498` Chr`13` : `96,415,816`	0.710	0.290	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.709	0.291	0.000
rs41282071 lBF = `12.1955` Chr`17` : `73,316,880`	0.709	0.291	0.000
rs4394270 lBF = `39.734` Chr`6` : `32,709,964`	0.709	0.291	0.000
rs17522649 lBF = `26.3622` Chr`15` : `93,084,746`	0.709	0.291	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.708	0.291	0.000
rs17221716 lBF = `16.1929` Chr`6` : `33,312,526`	0.708	0.292	0.000
rs7758736 lBF = `71.2514` Chr`6` : `32,758,394`	0.708	0.292	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.707	0.293	0.000
rs116908681 lBF = `20.2384` Chr`13` : `32,472,367`	0.706	0.294	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.706	0.294	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.705	0.295	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.704	0.296	0.000
rs114306262 lBF = `19.9183` Chr`2` : `158,584,262`	0.704	0.296	0.000
rs17024258 lBF = `12.5991` Chr`1` : `110,147,321`	0.704	0.296	0.000
rs2233070 lBF = `23.8275` Chr`15` : `23,889,739`	0.704	0.296	0.000
rs241438 lBF = `109.368` Chr`6` : `32,797,620`	0.704	0.296	0.000
rs75033941 lBF = `14.4098` Chr`7` : `15,616,587`	0.703	0.296	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.703	0.297	0.000
rs74835065 lBF = `17.9198` Chr`4` : `34,894,970`	0.703	0.297	0.000
rs114262607 lBF = `31.3906` Chr`1` : `102,915,381`	0.703	0.297	0.000
rs202118863 lBF = `260.489` Chr`6` : `32,520,509`	0.703	0.297	0.000
rs2442736 lBF = `293.119` Chr`6` : `31,346,621`	0.702	0.298	0.000
rs9275601 lBF = `161.644` Chr`6` : `32,682,664`	0.702	0.298	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.701	0.299	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.701	0.299	0.000
rs113995418 lBF = `15.0163` Chr`5` : `31,204,085`	0.701	0.299	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.701	0.299	0.000
rs17024393 lBF = `12.9062` Chr`1` : `110,154,688`	0.701	0.299	0.000
rs117197053 lBF = `22.648` Chr`6` : `154,076,889`	0.700	0.300	0.000
rs112556867 lBF = `13.232` Chr`6` : `92,572,325`	0.700	0.300	0.000
rs115011993 lBF = `12.156` Chr`1` : `22,940,109`	0.700	0.300	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.700	0.300	0.000
rs11030711 lBF = `33.6194` Chr`11` : `29,476,055`	0.700	0.300	0.000
rs77821460 lBF = `20.1742` Chr`12` : `20,274,936`	0.700	0.300	0.000
rs74456537 lBF = `16.3397` Chr`2` : `158,865,364`	0.699	0.301	0.000
rs75738479 lBF = `12.7695` Chr`20` : `56,382,782`	0.699	0.301	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.699	0.301	0.000
rs111448563 lBF = `16.2077` Chr`4` : `136,538,658`	0.698	0.301	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.698	0.302	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.698	0.302	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.698	0.302	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.697	0.303	0.000
rs78760219 lBF = `17.3142` Chr`11` : `76,981,122`	0.696	0.303	0.000
rs74488808 lBF = `20.4701` Chr`4` : `164,941,510`	0.696	0.304	0.000
rs2228638 lBF = `5.52783` Chr`10` : `33,475,282`	0.696	0.304	0.000
rs74367134 lBF = `15.2023` Chr`4` : `115,387,129`	0.695	0.304	0.000
rs112308695 lBF = `21.2781` Chr`21` : `18,297,682`	0.695	0.305	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.694	0.306	0.000
rs62449372 lBF = `14.5582` Chr`7` : `33,572,768`	0.694	0.306	0.000
rs28668773 lBF = `11.5903` Chr`4` : `99,523,890`	0.694	0.306	0.000
rs17088434 lBF = `21.3351` Chr`18` : `71,513,365`	0.694	0.306	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.694	0.306	0.000
rs3811319 lBF = `19.9487` Chr`14` : `22,482,497`	0.693	0.307	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.693	0.307	0.000
rs7756177 lBF = `109.274` Chr`6` : `32,289,358`	0.693	0.307	0.000
rs2829949 lBF = `8.60682` Chr`21` : `27,222,822`	0.693	0.307	0.000
rs12411865 lBF = `10.1505` Chr`10` : `107,888,541`	0.693	0.307	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.692	0.307	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.691	0.308	0.000
rs11992011 lBF = `14.5451` Chr`8` : `4,263,916`	0.691	0.309	0.000
rs111910367 lBF = `13.6992` Chr`2` : `143,461,906`	0.691	0.309	0.000
rs3129716 lBF = `409.333` Chr`6` : `32,657,436`	0.691	0.309	0.000
rs76775795 lBF = `13.6666` Chr`12` : `115,385,431`	0.691	0.309	0.000
rs9275698 lBF = `38.0121` Chr`6` : `32,687,973`	0.690	0.309	0.000
rs6900824 lBF = `18.132` Chr`6` : `33,302,666`	0.690	0.309	0.000
rs112957164 lBF = `19.5563` Chr`6` : `18,498,474`	0.690	0.310	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.690	0.310	0.000
rs9276689 lBF = `309.056` Chr`6` : `32,751,962`	0.689	0.311	0.000
rs17238859 lBF = `22.6845` Chr`15` : `56,957,179`	0.689	0.311	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.689	0.311	0.000
rs9272308 lBF = `332.362` Chr`6` : `32,603,906`	0.689	0.311	0.000
rs2854275 lBF = `405.249` Chr`6` : `32,628,428`	0.688	0.311	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.688	0.312	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.687	0.313	0.000
rs9272215 lBF = `326.395` Chr`6` : `32,602,105`	0.687	0.313	0.000
rs17829979 lBF = `14.5041` Chr`5` : `52,192,004`	0.686	0.313	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.686	0.314	0.000
rs7550711 lBF = `14.669` Chr`1` : `110,082,886`	0.686	0.314	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.686	0.314	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.685	0.314	0.000
rs2647044 lBF = `409.49` Chr`6` : `32,667,910`	0.685	0.315	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.685	0.315	0.000
rs34826591 lBF = `8.99693` Chr`17` : `38,246,454`	0.685	0.315	0.000
rs2040406 lBF = `386.738` Chr`6` : `32,603,007`	0.685	0.315	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.684	0.316	0.000
rs117711831 lBF = `14.3873` Chr`11` : `13,181,725`	0.684	0.316	0.000
rs75417855 lBF = `21.8115` Chr`8` : `8,966,147`	0.683	0.317	0.000
rs3096690 lBF = `378.542` Chr`6` : `32,194,630`	0.683	0.317	0.000
rs4831269 lBF = `8.89457` Chr`8` : `13,898,600`	0.683	0.317	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.683	0.317	0.000
rs114987209 lBF = `12.4094` Chr`1` : `195,017,692`	0.683	0.317	0.000
rs502771 lBF = `134.013` Chr`6` : `32,578,970`	0.683	0.317	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.683	0.317	0.000
rs111945767 lBF = `255.895` Chr`6` : `32,517,045`	0.683	0.317	0.000
rs78530398 lBF = `15.7707` Chr`13` : `32,365,235`	0.682	0.318	0.000
rs78321382 lBF = `14.0322` Chr`12` : `17,070,922`	0.682	0.318	0.000
rs72661820 lBF = `16.7411` Chr`13` : `112,504,318`	0.682	0.318	0.000
rs114995475 lBF = `14.7357` Chr`6` : `52,453,912`	0.682	0.318	0.000
rs74843345 lBF = `12.6322` Chr`1` : `168,214,005`	0.681	0.318	0.000
rs79655101 lBF = `9.70411` Chr`4` : `53,338,793`	0.681	0.319	0.000
rs75303653 lBF = `12.0682` Chr`2` : `150,465,838`	0.681	0.319	0.000
rs75245088 lBF = `15.8434` Chr`6` : `114,962,240`	0.680	0.320	0.000
rs71319465 lBF = `15.9195` Chr`21` : `29,795,538`	0.680	0.320	0.000
rs6907034 lBF = `14.5697` Chr`6` : `33,252,661`	0.679	0.321	0.000
rs9269822 lBF = `259.668` Chr`6` : `32,549,810`	0.679	0.321	0.000
rs115684255 lBF = `12.9903` Chr`3` : `84,304,714`	0.679	0.321	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.679	0.321	0.000
rs147084229 lBF = `15.3949` Chr`2` : `182,316,247`	0.678	0.322	0.000
rs117841971 lBF = `17.8656` Chr`10` : `80,699,184`	0.678	0.322	0.000
rs6906691 lBF = `14.6443` Chr`6` : `33,252,561`	0.678	0.322	0.000
rs16885723 lBF = `13.8002` Chr`4` : `31,715,825`	0.678	0.322	0.000
rs78669630 lBF = `18.7344` Chr`19` : `57,315,995`	0.678	0.322	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.677	0.322	0.000
rs1265158 lBF = `143.581` Chr`6` : `31,140,741`	0.677	0.323	0.000
rs117091826 lBF = `24.5799` Chr`12` : `112,629,713`	0.677	0.323	0.000
rs2395149 lBF = `372.154` Chr`6` : `32,325,562`	0.677	0.323	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.676	0.323	0.000
rs1265754 lBF = `374.709` Chr`6` : `32,303,692`	0.676	0.324	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.676	0.324	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.676	0.324	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.676	0.324	0.000
rs1269852 lBF = `375.22` Chr`6` : `32,080,191`	0.676	0.324	0.000
rs1265159 lBF = `312.664` Chr`6` : `31,140,047`	0.675	0.324	0.000
rs9268235 lBF = `367.704` Chr`6` : `32,290,208`	0.675	0.325	0.000
rs117071818 lBF = `25.7501` Chr`7` : `130,034,949`	0.675	0.325	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.675	0.325	0.000
rs114383600 lBF = `28.0206` Chr`5` : `58,193,856`	0.675	0.325	0.000
rs72770140 lBF = `7.00192` Chr`2` : `4,666,772`	0.675	0.325	0.000
rs74677747 lBF = `15.6294` Chr`10` : `130,448,931`	0.675	0.325	0.000
Affx-52325364 lBF = `12.7839` Chr`11` : `36,310,897`	0.675	0.325	0.000
rs150199484 lBF = `15.0955` Chr`13` : `72,495,513`	0.674	0.325	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.673	0.327	0.000
rs115747344 lBF = `17.3341` Chr`5` : `79,807,322`	0.673	0.327	0.000
rs35344500 lBF = `333.689` Chr`6` : `32,609,525`	0.673	0.327	0.000
rs76964416 lBF = `17.3421` Chr`5` : `141,526,554`	0.672	0.327	0.000
rs34785368 lBF = `15.6724` Chr`13` : `62,810,930`	0.672	0.328	0.000
rs2856674 lBF = `406.303` Chr`6` : `32,659,645`	0.672	0.328	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.672	0.328	0.000
rs113529884 lBF = `245.207` Chr`6` : `32,553,828`	0.672	0.328	0.000
rs7307889 lBF = `7.08994` Chr`12` : `5,981,353`	0.671	0.328	0.000
rs76409154 lBF = `20.1612` Chr`12` : `85,692,134`	0.671	0.328	0.000
rs73214037 lBF = `13.6585` Chr`3` : `197,395,630`	0.671	0.328	0.000
rs887465 lBF = `316.44` Chr`6` : `31,143,652`	0.671	0.329	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.671	0.329	0.000
rs2849018 lBF = `370.935` Chr`6` : `32,310,863`	0.671	0.329	0.000
rs117414661 lBF = `14.5592` Chr`10` : `21,569,423`	0.670	0.330	0.000
rs7775397 lBF = `372.647` Chr`6` : `32,261,252`	0.669	0.330	0.000
rs1794282 lBF = `363.829` Chr`6` : `32,666,526`	0.669	0.330	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.669	0.331	0.000
rs3132505 lBF = `293.157` Chr`6` : `31,177,503`	0.669	0.331	0.000
rs80226779 lBF = `18.8837` Chr`18` : `57,590,566`	0.668	0.331	0.000
rs78262206 lBF = `37.9756` Chr`1` : `31,792,220`	0.668	0.332	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.667	0.333	0.000
rs36086854 lBF = `16.6954` Chr`4` : `2,460,546`	0.667	0.333	0.000
rs75404215 lBF = `14.5116` Chr`7` : `15,472,901`	0.667	0.333	0.000
rs6902257 lBF = `8.36538` Chr`6` : `81,481,354`	0.667	0.333	0.000
rs78517764 lBF = `17.5971` Chr`19` : `55,055,906`	0.667	0.333	0.000
rs3101018 lBF = `375.352` Chr`6` : `31,705,864`	0.666	0.334	0.000
rs79694611 lBF = `14.1335` Chr`14` : `94,593,576`	0.665	0.335	0.000
rs1038439 lBF = `5.21812` Chr`14` : `96,946,830`	0.665	0.335	0.000
rs9271425 lBF = `129.757` Chr`6` : `32,587,923`	0.665	0.335	0.000
rs3130288 lBF = `371.035` Chr`6` : `32,096,001`	0.665	0.335	0.000
rs116044577 lBF = `12.8773` Chr`3` : `173,023,621`	0.665	0.335	0.000
rs76523732 lBF = `18.01` Chr`1` : `180,578,260`	0.665	0.335	0.000
rs72795726 lBF = `16.0429` Chr`10` : `50,871,492`	0.665	0.335	0.000
rs72878203 lBF = `10.9744` Chr`11` : `29,074,632`	0.664	0.336	0.000
rs76276670 lBF = `38.5052` Chr`21` : `30,505,980`	0.664	0.336	0.000
rs9272449 lBF = `449.415` Chr`6` : `32,605,451`	0.663	0.336	0.000
rs1265757 lBF = `371.253` Chr`6` : `32,302,382`	0.663	0.337	0.000
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rs117344772 lBF = `17.1436` Chr`11` : `13,156,014`	0.607	0.393	0.000
rs77851248 lBF = `21.7911` Chr`21` : `24,570,193`	0.607	0.393	0.000
rs187296392 lBF = `6.90424` Chr`10` : `61,530,398`	0.606	0.393	0.000
rs118036280 lBF = `11.8215` Chr`7` : `66,539,817`	0.606	0.394	0.000
rs115448443 lBF = `18.0134` Chr`5` : `174,362,800`	0.606	0.394	0.000
rs78034869 lBF = `14.6594` Chr`2` : `173,203,198`	0.606	0.394	0.000
rs12808433 lBF = `15.8892` Chr`11` : `58,263,144`	0.606	0.394	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.605	0.394	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.605	0.395	0.000
rs77261098 lBF = `14.059` Chr`7` : `137,261,899`	0.604	0.395	0.000
rs10484563 lBF = `23.1379` Chr`6` : `32,703,162`	0.604	0.396	0.000
rs615672 lBF = `289.555` Chr`6` : `32,574,171`	0.603	0.396	0.000
rs28408478 lBF = `12.072` Chr`1` : `19,287,138`	0.603	0.396	0.000
rs3131618 lBF = `365.676` Chr`6` : `31,434,621`	0.603	0.396	0.000
rs1625792 lBF = `348.381` Chr`6` : `31,306,420`	0.603	0.397	0.000
rs115023769 lBF = `14.1062` Chr`3` : `153,241,084`	0.603	0.397	0.000
rs642093 lBF = `323.201` Chr`6` : `32,582,075`	0.603	0.397	0.000
rs887468 lBF = `263.542` Chr`6` : `31,141,523`	0.603	0.397	0.000
rs1264377 lBF = `293.878` Chr`6` : `30,764,907`	0.603	0.397	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.602	0.397	0.000
rs35412 lBF = `14.5662` Chr`5` : `33,967,145`	0.602	0.397	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.602	0.398	0.000
rs4238083 lBF = `14.8083` Chr`12` : `42,924,769`	0.602	0.398	0.000
rs80029792 lBF = `24.0731` Chr`8` : `134,781,276`	0.602	0.398	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.602	0.398	0.000
rs3094605 lBF = `366.885` Chr`6` : `31,430,694`	0.600	0.400	0.000
rs79118820 lBF = `26.5024` Chr`5` : `18,075,582`	0.600	0.400	0.000
rs116320373 lBF = `13.2825` Chr`4` : `67,594,960`	0.600	0.400	0.000
rs36221133 lBF = `14.4427` Chr`6` : `31,912,523`	0.600	0.400	0.000
rs73149243 lBF = `14.8415` Chr`20` : `61,031,249`	0.600	0.400	0.000
rs114026882 lBF = `20.8329` Chr`2` : `122,155,032`	0.600	0.400	0.000
rs149049329 lBF = `6.27065` Chr`3` : `187,597,927`	0.600	0.400	0.000
rs118118740 lBF = `29.2075` Chr`14` : `102,482,939`	0.600	0.400	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.600	0.400	0.000
rs77443150 lBF = `15.8315` Chr`22` : `49,290,992`	0.600	0.400	0.000
rs147596965 lBF = `4.05083` Chr`10` : `10,116,874`	0.599	0.401	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.599	0.401	0.000
rs118166304 lBF = `25.1727` Chr`17` : `48,951,566`	0.599	0.401	0.000
rs71493883 lBF = `30.5734` Chr`10` : `60,796,995`	0.599	0.401	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.598	0.401	0.000
rs115896270 lBF = `17.0766` Chr`2` : `6,322,348`	0.598	0.401	0.000
rs114281340 lBF = `22.5343` Chr`5` : `162,746,934`	0.598	0.402	0.000
rs9267488 lBF = `351.548` Chr`6` : `31,514,247`	0.597	0.403	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.596	0.404	0.000
rs9268231 lBF = `109.419` Chr`6` : `32,287,754`	0.596	0.404	0.000
rs41313890 lBF = `16.9354` Chr`1` : `201,932,181`	0.596	0.404	0.000
rs115898927 lBF = `17.5385` Chr`6` : `67,963,526`	0.596	0.404	0.000
rs3132935 lBF = `116.088` Chr`6` : `32,171,075`	0.596	0.404	0.000
rs73177040 lBF = `26.055` Chr`22` : `46,625,638`	0.595	0.404	0.000
rs410285 lBF = `1.14403` Chr`22` : `22,381,768`	0.595	0.405	0.000
rs79474600 lBF = `14.4527` Chr`11` : `69,602,803`	0.595	0.405	0.000
rs79458143 lBF = `17.4714` Chr`10` : `37,906,832`	0.595	0.405	0.000
rs78643014 lBF = `10.956` Chr`5` : `68,403,982`	0.594	0.405	0.000
rs75098702 lBF = `19.4806` Chr`6` : `44,618,970`	0.594	0.405	0.000
rs77378764 lBF = `13.862` Chr`5` : `78,589,856`	0.594	0.406	0.000
rs9271489 lBF = `91.561` Chr`6` : `32,589,051`	0.594	0.406	0.000
rs3130614 lBF = `363.156` Chr`6` : `31,476,458`	0.593	0.406	0.000
rs13009537 lBF = `20.9772` Chr`2` : `76,970,796`	0.593	0.407	0.000
rs118142265 lBF = `1.58801` Chr`9` : `132,194,033`	0.000	0.407	0.593
rs11718454 lBF = `1.63354` Chr`3` : `1,964,639`	0.592	0.408	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.591	0.409	0.000
rs3094013 lBF = `366.056` Chr`6` : `31,434,366`	0.591	0.409	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.590	0.410	0.000
rs12603526 lBF = `5.55678` Chr`17` : `800,593`	0.590	0.410	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.590	0.410	0.000
rs17050863 lBF = `17.5891` Chr`4` : `131,083,338`	0.590	0.410	0.000
rs111965080 lBF = `25.4614` Chr`22` : `28,962,094`	0.589	0.410	0.000
rs76761043 lBF = `33.5262` Chr`13` : `40,263,143`	0.589	0.410	0.000
rs9271709 lBF = `90.5678` Chr`6` : `32,593,392`	0.589	0.410	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.589	0.411	0.000
rs2535296 lBF = `120.164` Chr`6` : `31,060,219`	0.589	0.411	0.000
rs45484197 lBF = `11.2893` Chr`14` : `24,653,965`	0.588	0.411	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.588	0.412	0.000
rs77123034 lBF = `24.6074` Chr`5` : `131,346,040`	0.588	0.412	0.000
rs17431838 lBF = `16.1776` Chr`7` : `78,079,123`	0.587	0.412	0.000
rs114437140 lBF = `13.3145` Chr`1` : `68,682,970`	0.587	0.413	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.587	0.413	0.000
rs6911628 lBF = `183.308` Chr`6` : `30,739,846`	0.587	0.413	0.000
rs115725122 lBF = `17.4885` Chr`1` : `115,955,917`	0.587	0.413	0.000
rs77499291 lBF = `13.2457` Chr`10` : `121,191,404`	0.586	0.414	0.000
rs9268220 lBF = `115.296` Chr`6` : `32,284,340`	0.586	0.414	0.000
rs3094117 lBF = `175.363` Chr`6` : `30,737,486`	0.586	0.414	0.000
rs75276992 lBF = `24.59` Chr`2` : `27,381,271`	0.585	0.414	0.000
rs13248930 lBF = `6.94247` Chr`8` : `125,664,204`	0.585	0.415	0.000
rs76378198 lBF = `13.9175` Chr`10` : `23,574,990`	0.585	0.415	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.585	0.415	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.585	0.415	0.000
rs35638776 lBF = `33.5106` Chr`6` : `64,613,233`	0.584	0.415	0.000
rs80026531 lBF = `23.2313` Chr`6` : `30,744,768`	0.584	0.416	0.000
rs118001455 lBF = `19.3426` Chr`14` : `27,939,522`	0.584	0.416	0.000
rs2734583 lBF = `350.023` Chr`6` : `31,505,480`	0.584	0.416	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2975

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

0.2653

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2506

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7168

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7167

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7166

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7165

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7164

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7164

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7163

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7153

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7153

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7149

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7149

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7148

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7147

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7145

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7144

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7142

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7139

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7132

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7125

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7118

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7116

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7107

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7106

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7104

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7095

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7094

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7053

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6928

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6872

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6854

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6844

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6822

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6783

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6763

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6721

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6696

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6507

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6407

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6335

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5993

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5989

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5888

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5874

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5847

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5831

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5722

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5715

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5649

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5555

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5286

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5276

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5205

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5152

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5066

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5053

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4758

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4580

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4511

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4485

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4450

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4385

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4363

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4289

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4270

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4213

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4209

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3793

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3774

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3718

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3625

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3438

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3395

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3342

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3216

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3198

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3192

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3167

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3050

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3035

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3015

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3006

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2993

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2943

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2906

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2881

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2782

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2746

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2645

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2477

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2367

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2236

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2071

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2014

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1935

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1860

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1816

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1786

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1673

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1639

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1594

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1504

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1497

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1385

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1284

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1141

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0975

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0968

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0941

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0901

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0881

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0865

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0855

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0832

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0801

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0794

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0740

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0686

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0608

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0589

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0585

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0578

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0524

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`)