TreeWAS – [N25.0] Renal osteodystrophy

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
rs5004277 lBF = `99.9987` Chr`6` : `32,582,354`	0.660	0.340	0.000
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.648	0.352	0.000
rs7383606 lBF = `179.21` Chr`6` : `32,766,593`	0.633	0.366	0.000
rs3891175 lBF = `236.205` Chr`6` : `32,634,467`	0.633	0.367	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	0.628	0.372	0.000
rs1480383 lBF = `171.673` Chr`6` : `32,740,856`	0.623	0.376	0.000
rs9274253 lBF = `235.721` Chr`6` : `32,631,348`	0.615	0.385	0.000
rs7382714 lBF = `181.162` Chr`6` : `32,767,496`	0.609	0.390	0.000
rs7381376 lBF = `178.508` Chr`6` : `32,767,673`	0.609	0.391	0.000
rs9274623 lBF = `234.77` Chr`6` : `32,635,998`	0.609	0.391	0.000
rs9276734 lBF = `178.832` Chr`6` : `32,766,854`	0.603	0.397	0.000
rs6912002 lBF = `178.474` Chr`6` : `32,765,268`	0.603	0.397	0.000
rs11244 lBF = `255.169` Chr`6` : `32,780,724`	0.599	0.401	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.596	0.404	0.000
rs9273529 lBF = `237.135` Chr`6` : `32,628,698`	0.595	0.405	0.000
rs7382649 lBF = `178.914` Chr`6` : `32,776,087`	0.595	0.405	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.589	0.411	0.000
rs3095329 lBF = `217.089` Chr`6` : `30,693,816`	0.588	0.412	0.000
rs1383261 lBF = `177.515` Chr`6` : `32,765,451`	0.588	0.412	0.000
rs3132584 lBF = `215.866` Chr`6` : `30,688,427`	0.587	0.413	0.000
rs204989 lBF = `218.203` Chr`6` : `32,161,852`	0.586	0.414	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.574	0.426	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.571	0.429	0.000
rs9271060 lBF = `261.575` Chr`6` : `32,575,513`	0.570	0.430	0.000
rs9271192 lBF = `261.325` Chr`6` : `32,578,530`	0.570	0.430	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.569	0.431	0.000
rs113232354 lBF = `23.1151` Chr`6` : `51,855,211`	0.568	0.431	0.000
rs9271100 lBF = `261.675` Chr`6` : `32,576,478`	0.565	0.435	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.564	0.436	0.000
rs6899857 lBF = `178.897` Chr`6` : `32,770,482`	0.562	0.438	0.000
rs200876443 lBF = `17.0144` Chr`19` : `50,363,585`	0.560	0.440	0.000
rs3828840 lBF = `272.834` Chr`6` : `32,520,907`	0.558	0.441	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.558	0.442	0.000
rs434841 lBF = `249.848` Chr`6` : `32,191,041`	0.557	0.443	0.000
rs10797386 lBF = `13.2453` Chr`1` : `3,168,280`	0.556	0.444	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.554	0.446	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.554	0.446	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.547	0.452	0.000
rs416352 lBF = `74.5968` Chr`6` : `32,207,393`	0.544	0.456	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.541	0.459	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.540	0.460	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.538	0.462	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.536	0.464	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.533	0.466	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.533	0.467	0.000
rs507778 lBF = `74.1016` Chr`6` : `32,209,861`	0.532	0.468	0.000
rs73155954 lBF = `14.0489` Chr`13` : `26,542,052`	0.531	0.469	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.530	0.470	0.000
rs79066245 lBF = `14.7907` Chr`7` : `10,283,364`	0.529	0.471	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.529	0.471	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.527	0.473	0.000
rs176095 lBF = `360.117` Chr`6` : `32,158,319`	0.526	0.473	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.526	0.474	0.000
rs3132956 lBF = `333.147` Chr`6` : `32,179,438`	0.526	0.474	0.000
rs3134942 lBF = `342.134` Chr`6` : `32,168,771`	0.525	0.475	0.000
rs1899875 lBF = `15.3034` Chr`21` : `22,669,522`	0.525	0.475	0.000
rs3094127 lBF = `214.194` Chr`6` : `30,697,447`	0.525	0.475	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.524	0.476	0.000
rs2395158 lBF = `274.261` Chr`6` : `32,374,595`	0.523	0.477	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.522	0.478	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.521	0.479	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.521	0.479	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.520	0.480	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.520	0.480	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.519	0.480	0.000
rs204992 lBF = `357.269` Chr`6` : `32,156,908`	0.519	0.481	0.000
rs3130380 lBF = `304.471` Chr`6` : `30,279,130`	0.518	0.482	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.517	0.483	0.000
rs3131296 lBF = `340.307` Chr`6` : `32,172,993`	0.517	0.483	0.000
rs29218 lBF = `105.895` Chr`6` : `29,607,429`	0.516	0.483	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.516	0.484	0.000
rs1632962 lBF = `88.4386` Chr`6` : `29,683,808`	0.515	0.485	0.000
rs3129820 lBF = `308.154` Chr`6` : `30,343,569`	0.515	0.485	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.515	0.485	0.000
rs3129818 lBF = `304.87` Chr`6` : `30,342,966`	0.515	0.485	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.513	0.486	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.513	0.487	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.513	0.487	0.000
rs3132625 lBF = `307.957` Chr`6` : `30,347,720`	0.513	0.487	0.000
rs3132631 lBF = `306.477` Chr`6` : `30,344,645`	0.513	0.487	0.000
rs3094703 lBF = `308.389` Chr`6` : `30,358,957`	0.513	0.487	0.000
rs3094035 lBF = `306.925` Chr`6` : `30,363,136`	0.512	0.488	0.000
rs2523729 lBF = `299.534` Chr`6` : `30,137,387`	0.512	0.488	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.511	0.488	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.511	0.489	0.000
rs204994 lBF = `75.1027` Chr`6` : `32,154,998`	0.511	0.489	0.000
rs3117289 lBF = `110.109` Chr`6` : `29,609,921`	0.510	0.489	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.510	0.489	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.510	0.490	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.510	0.490	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.510	0.490	0.000
rs3094050 lBF = `308.979` Chr`6` : `30,358,591`	0.509	0.490	0.000
rs75034815 lBF = `18.297` Chr`15` : `31,315,963`	0.509	0.491	0.000
rs3130126 lBF = `309.203` Chr`6` : `30,353,739`	0.509	0.491	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.509	0.491	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.508	0.491	0.000
rs13137792 lBF = `5.15648` Chr`4` : `178,198,741`	0.508	0.492	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.507	0.493	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.507	0.493	0.000
rs2747460 lBF = `90.9925` Chr`6` : `29,657,127`	0.506	0.494	0.000
rs41788 lBF = `11.0432` Chr`7` : `116,491,214`	0.506	0.494	0.000
rs2071278 lBF = `310.753` Chr`6` : `32,165,444`	0.506	0.494	0.000
rs3129809 lBF = `306.415` Chr`6` : `30,335,621`	0.506	0.494	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.505	0.494	0.000
Affx-28468489 lBF = `309.397` Chr`6` : `32,165,444`	0.505	0.495	0.000
rs1541269 lBF = `254.96` Chr`6` : `30,103,360`	0.505	0.495	0.000
rs29228 lBF = `107.267` Chr`6` : `29,623,739`	0.505	0.495	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.504	0.495	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.504	0.496	0.000
rs3129039 lBF = `100.182` Chr`6` : `29,658,864`	0.504	0.496	0.000
rs117035790 lBF = `13.6573` Chr`11` : `130,134,171`	0.503	0.497	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.503	0.497	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.503	0.497	0.000
rs185572712 lBF = `6.25461` Chr`5` : `60,173,515`	0.503	0.497	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.502	0.498	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.501	0.499	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.501	0.499	0.000
rs4947350 lBF = `137.219` Chr`6` : `32,767,620`	0.500	0.500	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.500	0.500	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.500	0.500	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.500	0.500	0.000
rs9271367 lBF = `258.737` Chr`6` : `32,586,908`	0.000	0.500	0.499
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.499	0.501	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.498	0.502	0.000
rs1573296 lBF = `296.589` Chr`6` : `30,127,805`	0.498	0.502	0.000
rs3130350 lBF = `306.94` Chr`6` : `30,327,839`	0.498	0.502	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.497	0.502	0.000
rs3094067 lBF = `304.889` Chr`6` : `30,299,245`	0.497	0.503	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.497	0.503	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.497	0.503	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.496	0.504	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.495	0.504	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.495	0.505	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.495	0.505	0.000
rs502055 lBF = `136.601` Chr`6` : `32,579,003`	0.495	0.505	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.494	0.505	0.000
rs3129073 lBF = `108.289` Chr`6` : `29,615,822`	0.494	0.506	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.493	0.506	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.493	0.507	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.493	0.507	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.493	0.507	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.492	0.507	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.492	0.508	0.000
rs3117301 lBF = `91.5802` Chr`6` : `29,654,700`	0.492	0.508	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.492	0.508	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.491	0.509	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.491	0.509	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.491	0.509	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.490	0.509	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.490	0.510	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.490	0.510	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.489	0.511	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.488	0.512	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.488	0.512	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.488	0.512	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.487	0.512	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.487	0.513	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.487	0.513	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.487	0.513	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.486	0.514	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.486	0.514	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.486	0.514	0.000
rs2844531 lBF = `364.546` Chr`6` : `31,353,171`	0.485	0.515	0.000
rs2106072 lBF = `296.502` Chr`6` : `30,153,363`	0.485	0.515	0.000
rs2535238 lBF = `100.36` Chr`6` : `29,645,038`	0.485	0.515	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.485	0.515	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.484	0.515	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.484	0.515	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.484	0.516	0.000
rs78555861 lBF = `11.9034` Chr`1` : `235,772,614`	0.484	0.516	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.484	0.516	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.484	0.516	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.483	0.517	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.483	0.517	0.000
rs117471497 lBF = `18.6452` Chr`20` : `851,571`	0.482	0.518	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.482	0.518	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.482	0.518	0.000
rs1610742 lBF = `88.8708` Chr`6` : `29,677,952`	0.482	0.518	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.481	0.519	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.481	0.519	0.000
rs73727981 lBF = `257.099` Chr`6` : `32,511,791`	0.480	0.519	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.480	0.519	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.480	0.519	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.480	0.520	0.000
rs9514526 lBF = `7.57978` Chr`13` : `106,937,337`	0.480	0.520	0.000
rs11584120 lBF = `14.9309` Chr`1` : `97,316,509`	0.480	0.520	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.480	0.520	0.000
rs6901158 lBF = `317.39` Chr`6` : `32,205,942`	0.479	0.520	0.000
rs3131064 lBF = `278.586` Chr`6` : `30,763,893`	0.479	0.520	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.479	0.521	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.479	0.521	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.479	0.521	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.479	0.521	0.000
rs2187668 lBF = `393.11` Chr`6` : `32,605,884`	0.479	0.521	0.000
rs2524078 lBF = `156.439` Chr`6` : `31,242,649`	0.479	0.521	0.000
rs3134792 lBF = `358.044` Chr`6` : `31,312,326`	0.479	0.521	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.479	0.521	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.478	0.521	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.478	0.522	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.478	0.522	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.478	0.522	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.477	0.522	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.477	0.522	0.000
rs17094777 lBF = `10.4135` Chr`1` : `74,507,315`	0.477	0.523	0.000
rs55771008 lBF = `13.6178` Chr`17` : `73,338,557`	0.477	0.523	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.477	0.523	0.000
rs2596565 lBF = `363.148` Chr`6` : `31,353,329`	0.477	0.523	0.000
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rs116797017 lBF = `26.7156` Chr`2` : `22,472,592`	0.444	0.556	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.444	0.556	0.000
rs7092236 lBF = `18.7331` Chr`10` : `113,501,672`	0.443	0.556	0.000
rs115601504 lBF = `13.331` Chr`4` : `120,816,223`	0.443	0.556	0.000
rs76279627 lBF = `14.8512` Chr`10` : `113,517,434`	0.443	0.556	0.000
rs2524069 lBF = `151.86` Chr`6` : `31,244,789`	0.443	0.557	0.000
rs78536404 lBF = `15.3069` Chr`3` : `29,168,440`	0.443	0.557	0.000
rs116407570 lBF = `9.05838` Chr`5` : `88,416,942`	0.443	0.557	0.000
rs114590113 lBF = `18.6052` Chr`4` : `46,984,608`	0.443	0.557	0.000
rs1003878 lBF = `119.615` Chr`6` : `32,299,822`	0.443	0.557	0.000
rs116855070 lBF = `11.8145` Chr`6` : `137,922,391`	0.443	0.557	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.443	0.557	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.443	0.557	0.000
rs3768321 lBF = `2.03114` Chr`1` : `40,035,928`	0.442	0.557	0.000
rs72851052 lBF = `261.226` Chr`6` : `32,502,249`	0.442	0.557	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.442	0.558	0.000
rs73149261 lBF = `14.8706` Chr`20` : `61,039,662`	0.442	0.558	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.442	0.558	0.000
rs9268219 lBF = `356.694` Chr`6` : `32,284,108`	0.441	0.558	0.002
rs117367263 lBF = `7.30706` Chr`13` : `24,530,834`	0.442	0.558	0.000
rs9276731 lBF = `308.61` Chr`6` : `32,765,585`	0.441	0.558	0.001
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.442	0.558	0.000
rs116407893 lBF = `15.4883` Chr`1` : `45,555,700`	0.442	0.558	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.442	0.558	0.000
rs3130641 lBF = `125.57` Chr`6` : `30,764,081`	0.441	0.558	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.441	0.558	0.000
rs4669297 lBF = `6.88015` Chr`2` : `8,738,903`	0.441	0.558	0.000
rs377763 lBF = `302.382` Chr`6` : `32,199,144`	0.441	0.558	0.000
rs11703595 lBF = `21.9358` Chr`22` : `29,685,163`	0.441	0.559	0.000
rs79563551 lBF = `13.3455` Chr`4` : `122,395,365`	0.441	0.559	0.000
rs1736915 lBF = `79.3983` Chr`6` : `29,704,316`	0.441	0.559	0.000
rs3130347 lBF = `380.111` Chr`6` : `32,134,656`	0.441	0.559	0.000
rs3134947 lBF = `100.76` Chr`6` : `32,145,205`	0.441	0.559	0.000
rs674313 lBF = `146.852` Chr`6` : `32,578,082`	0.441	0.559	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.441	0.559	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.440	0.559	0.000
rs3129063 lBF = `114.119` Chr`6` : `29,645,613`	0.440	0.560	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.440	0.560	0.000
rs3131044 lBF = `124.19` Chr`6` : `30,758,664`	0.440	0.560	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.440	0.560	0.000
rs1003879 lBF = `218.353` Chr`6` : `32,299,592`	0.440	0.560	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.440	0.560	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.440	0.560	0.000
rs2922994 lBF = `358.087` Chr`6` : `31,335,901`	0.439	0.560	0.000
rs3134945 lBF = `100.753` Chr`6` : `32,146,492`	0.439	0.561	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.439	0.561	0.000
rs117588604 lBF = `8.30479` Chr`6` : `82,768,899`	0.439	0.561	0.000
rs73147826 lBF = `14.8932` Chr`3` : `116,659,269`	0.439	0.561	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.439	0.561	0.000
rs76956704 lBF = `15.02` Chr`6` : `152,031,496`	0.439	0.561	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.439	0.561	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.438	0.561	0.000
rs9271489 lBF = `91.561` Chr`6` : `32,589,051`	0.438	0.562	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.438	0.562	0.000
rs130079 lBF = `308.561` Chr`6` : `31,112,737`	0.438	0.562	0.000
rs3117582 lBF = `377.466` Chr`6` : `31,620,520`	0.436	0.562	0.002
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.438	0.562	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.438	0.562	0.000
rs111834747 lBF = `248.946` Chr`6` : `32,492,866`	0.438	0.562	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.438	0.562	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.438	0.562	0.000
rs3135351 lBF = `256.753` Chr`6` : `32,392,945`	0.438	0.562	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.437	0.562	0.000
rs886425 lBF = `133.047` Chr`6` : `30,781,301`	0.437	0.563	0.000
rs886424 lBF = `133.92` Chr`6` : `30,782,002`	0.437	0.563	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.437	0.563	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.437	0.563	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.437	0.563	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.437	0.563	0.000
rs3094005 lBF = `350.055` Chr`6` : `31,465,047`	0.437	0.563	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.437	0.563	0.000
rs114059502 lBF = `12.4556` Chr`6` : `30,837,290`	0.436	0.563	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.436	0.563	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.436	0.563	0.000
rs2242659 lBF = `276.776` Chr`6` : `31,601,513`	0.436	0.564	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.436	0.564	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.436	0.564	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.436	0.564	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.435	0.564	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.435	0.564	0.000
rs17406405 lBF = `16.4915` Chr`7` : `78,658,711`	0.435	0.565	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.435	0.565	0.000
rs1033499 lBF = `120.165` Chr`6` : `32,307,532`	0.435	0.565	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.435	0.565	0.000
rs1150758 lBF = `380.161` Chr`6` : `32,028,149`	0.435	0.565	0.000
rs1264353 lBF = `133.578` Chr`6` : `30,787,762`	0.435	0.565	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.435	0.565	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.434	0.565	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.434	0.565	0.000

This table lists the top 500 variants ordered by p(effect).

The full results table can be downloaded from this page.

Variant clusters with highest protective effect

(posterior probability > 0.05)

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.4826

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2639

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.6990

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.6848

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.6838

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6693

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6670

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6664

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.6549

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.6540

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6518

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.6403

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.6344

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.6309

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.6109

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.6061

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6050

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5843

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.5834

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.5822

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.5809

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5775

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.5768

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5695

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.5677

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5640

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5622

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.5621

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.5587

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.5575

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.5559

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.5543

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.5527

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.5493

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.5459

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.5367

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5318

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.5302

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.5254

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.5241

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.5188

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.5152

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.5140

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5140

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.5140

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5138

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.5137

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.5133

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5124

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.5120

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5116

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5110

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5084

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.5067

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.5028

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.5025

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4992

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4977

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4976

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4974

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.4966

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.4963

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.4920

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4889

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.4876

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.4846

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.4800

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.4760

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.4749

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.4709

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.4690

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.4643

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.4576

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.4565

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.4546

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.4499

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.4494

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4437

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.4432

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4406

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4401

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4397

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4386

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4329

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.4320

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.4297

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.4196

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4173

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4160

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4113

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.4107

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4099

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.4090

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4060

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.4045

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4030

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.4012

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.3984

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.3912

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3893

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.3868

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.3834

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.3782

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.3769

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3766

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.3721

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.3714

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.3699

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.3675

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.3674

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.3669

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.3590

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3573

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.3468

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.3465

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3465

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.3435

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.3434

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3356

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3347

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.3341

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3337

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3306

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.3303

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3299

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.3276

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3257

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3227

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3197

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.3072

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.3041

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.3018

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2972

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.2953

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.2944

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2940

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2909

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2852

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.2848

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.2795

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.2777

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2664

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.2622

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.2582

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2549

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.2470

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.2309

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.2047

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.1741

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1649

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.1493

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1424

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1409

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1386

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.1312

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1307

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1226

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.0928

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0666

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0575

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0554

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`)