TreeWAS – [N26] Unspecified contracted kidney

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
rs12910916 lBF = `24.3202` Chr`15` : `47,675,655`	0.929	0.071	0.000
rs2103225 lBF = `7.68348` Chr`8` : `77,219,328`	0.850	0.150	0.000
rs75877339 lBF = `13.9561` Chr`20` : `55,750,261`	0.829	0.171	0.000
rs2495244 lBF = `8.29163` Chr`6` : `41,495,339`	0.829	0.171	0.000
rs1799782 lBF = `8.31404` Chr`19` : `44,057,574`	0.821	0.179	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.820	0.180	0.000
rs28502093 lBF = `12.5607` Chr`15` : `78,024,644`	0.818	0.182	0.000
rs117704944 lBF = `28.9348` Chr`20` : `8,543,000`	0.811	0.189	0.000
rs10483383 lBF = `8.42712` Chr`14` : `30,650,492`	0.808	0.192	0.000
rs72698796 lBF = `18.4874` Chr`14` : `101,363,503`	0.806	0.194	0.000
rs71323034 lBF = `16.6347` Chr`3` : `31,072,353`	0.800	0.200	0.000
rs117598275 lBF = `13.4863` Chr`15` : `26,580,611`	0.798	0.202	0.000
rs176573 lBF = `6.02213` Chr`7` : `105,818,985`	0.798	0.202	0.000
rs10494913 lBF = `13.2918` Chr`1` : `209,114,268`	0.797	0.203	0.000
rs16969149 lBF = `15.1993` Chr`17` : `74,640,113`	0.795	0.205	0.000
rs72986571 lBF = `5.85402` Chr`11` : `98,738,371`	0.794	0.206	0.000
rs29218 lBF = `105.895` Chr`6` : `29,607,429`	0.790	0.210	0.000
rs1108052 lBF = `123.517` Chr`6` : `30,069,795`	0.787	0.213	0.000
rs58220949 lBF = `6.7572` Chr`7` : `93,489,344`	0.785	0.215	0.000
rs117611723 lBF = `13.8737` Chr`17` : `35,913,589`	0.782	0.218	0.000
Affx-12152382 lBF = `7.18149` Chr`15` : `89,745,122`	0.782	0.218	0.000
rs78266384 lBF = `21.5418` Chr`1` : `49,113,384`	0.781	0.219	0.000
rs73172251 lBF = `13.5215` Chr`13` : `42,956,384`	0.781	0.219	0.000
rs79968837 lBF = `7.27333` Chr`20` : `41,177,956`	0.775	0.225	0.000
rs76040961 lBF = `16.9369` Chr`2` : `204,930,391`	0.775	0.225	0.000
rs2240071 lBF = `127.159` Chr`6` : `30,070,932`	0.772	0.228	0.000
rs72723250 lBF = `16.9653` Chr`5` : `7,280,506`	0.772	0.228	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.772	0.228	0.000
rs1075654 lBF = `23.1554` Chr`9` : `136,928,276`	0.771	0.229	0.000
rs3095267 lBF = `105.681` Chr`6` : `29,607,046`	0.769	0.231	0.000
rs77943567 lBF = `12.8021` Chr`4` : `802,144`	0.769	0.231	0.000
rs2046210 lBF = `11.8946` Chr`6` : `151,948,366`	0.768	0.232	0.000
rs12582852 lBF = `14.3759` Chr`12` : `3,315,933`	0.767	0.233	0.000
rs1264703 lBF = `126.619` Chr`6` : `30,065,416`	0.763	0.237	0.000
rs16918683 lBF = `6.04179` Chr`9` : `102,464,999`	0.762	0.238	0.000
rs16856202 lBF = `6.46317` Chr`1` : `232,155,151`	0.761	0.239	0.000
rs115772630 lBF = `20.8791` Chr`3` : `115,179,396`	0.756	0.244	0.000
rs116359246 lBF = `12.4475` Chr`1` : `93,035,991`	0.754	0.246	0.000
rs1264702 lBF = `125.644` Chr`6` : `30,065,575`	0.753	0.247	0.000
rs117192105 lBF = `15.7523` Chr`8` : `24,498,050`	0.752	0.248	0.000
rs1110446 lBF = `126.145` Chr`6` : `30,070,937`	0.751	0.249	0.000
rs3117289 lBF = `110.109` Chr`6` : `29,609,921`	0.749	0.251	0.000
rs77765535 lBF = `7.35154` Chr`4` : `99,530,638`	0.749	0.251	0.000
rs79767168 lBF = `18.8427` Chr`8` : `131,516,058`	0.748	0.252	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.747	0.253	0.000
rs41314643 lBF = `6.56273` Chr`1` : `183,255,908`	0.747	0.253	0.000
rs78554423 lBF = `15.8567` Chr`18` : `27,227,214`	0.746	0.254	0.000
rs77209553 lBF = `15.841` Chr`14` : `80,155,113`	0.745	0.255	0.000
rs62340572 lBF = `14.2173` Chr`4` : `182,592,234`	0.744	0.256	0.000
rs6576557 lBF = `17.711` Chr`15` : `26,540,811`	0.743	0.257	0.000
rs29228 lBF = `107.267` Chr`6` : `29,623,739`	0.740	0.260	0.000
rs10415889 lBF = `20.2782` Chr`19` : `17,544,165`	0.739	0.260	0.000
rs117513935 lBF = `14.1355` Chr`22` : `32,923,673`	0.739	0.260	0.000
rs116419863 lBF = `28.8746` Chr`2` : `79,917,975`	0.739	0.261	0.000
rs76335573 lBF = `12.4927` Chr`1` : `107,687,605`	0.738	0.262	0.000
rs11611673 lBF = `13.5862` Chr`12` : `121,451,150`	0.737	0.263	0.000
rs79489220 lBF = `13.6833` Chr`5` : `114,649,524`	0.736	0.264	0.000
rs16877816 lBF = `15.7775` Chr`5` : `59,568,716`	0.735	0.265	0.000
rs77701603 lBF = `6.46908` Chr`10` : `133,446,591`	0.735	0.265	0.000
rs1632962 lBF = `88.4386` Chr`6` : `29,683,808`	0.734	0.266	0.000
rs75293791 lBF = `24.7863` Chr`2` : `102,767,023`	0.734	0.266	0.000
rs117626347 lBF = `17.0112` Chr`14` : `79,813,041`	0.733	0.267	0.000
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.730	0.270	0.000
rs78840173 lBF = `18.6712` Chr`4` : `150,134,577`	0.730	0.270	0.000
rs999091 lBF = `22.6696` Chr`2` : `66,603,934`	0.730	0.270	0.000
rs116903209 lBF = `21.5852` Chr`13` : `38,538,467`	0.729	0.271	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.729	0.271	0.000
rs79253379 lBF = `17.0318` Chr`11` : `86,168,312`	0.728	0.272	0.000
rs1480383 lBF = `171.673` Chr`6` : `32,740,856`	0.727	0.273	0.000
rs75066253 lBF = `12.2054` Chr`1` : `39,214,067`	0.727	0.273	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.727	0.273	0.000
rs72983278 lBF = `6.95338` Chr`6` : `148,913,690`	0.726	0.274	0.000
rs35802185 lBF = `8.68557` Chr`13` : `100,526,223`	0.725	0.275	0.000
rs16966833 lBF = `11.2571` Chr`17` : `30,035,727`	0.724	0.276	0.000
rs113278181 lBF = `16.158` Chr`3` : `181,528,099`	0.724	0.276	0.000
rs3129073 lBF = `108.289` Chr`6` : `29,615,822`	0.723	0.276	0.000
rs80264625 lBF = `18.0968` Chr`7` : `124,140,827`	0.723	0.277	0.000
rs1264697 lBF = `126.609` Chr`6` : `30,067,568`	0.723	0.277	0.000
rs3129817 lBF = `300.557` Chr`6` : `30,342,753`	0.719	0.281	0.000
rs9276726 lBF = `191.154` Chr`6` : `32,763,888`	0.719	0.281	0.000
rs12425131 lBF = `16.2355` Chr`12` : `82,984,879`	0.719	0.281	0.000
rs79600573 lBF = `9.93512` Chr`14` : `80,286,922`	0.719	0.281	0.000
rs79903598 lBF = `14.3577` Chr`1` : `192,406,817`	0.718	0.282	0.000
rs67497292 lBF = `13.8596` Chr`6` : `31,766,844`	0.717	0.283	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.717	0.283	0.000
rs10885 lBF = `337.848` Chr`6` : `31,604,591`	0.715	0.285	0.000
rs76176567 lBF = `14.1328` Chr`14` : `52,870,219`	0.714	0.286	0.000
rs59195156 lBF = `9.23116` Chr`2` : `43,356,056`	0.714	0.286	0.000
rs12220010 lBF = `12.3957` Chr`10` : `14,267,963`	0.713	0.287	0.000
rs62621243 lBF = `12.0494` Chr`5` : `140,802,677`	0.712	0.288	0.000
rs75363726 lBF = `16.2909` Chr`11` : `31,149,912`	0.711	0.289	0.000
rs7383606 lBF = `179.21` Chr`6` : `32,766,593`	0.711	0.289	0.000
rs4895695 lBF = `23.7559` Chr`6` : `146,619,348`	0.709	0.291	0.000
rs111409535 lBF = `18.5218` Chr`21` : `30,790,390`	0.708	0.292	0.000
rs73030540 lBF = `13.1929` Chr`3` : `10,065,254`	0.708	0.292	0.000
rs3129039 lBF = `100.182` Chr`6` : `29,658,864`	0.707	0.293	0.000
rs77923642 lBF = `16.5171` Chr`6` : `167,359,606`	0.705	0.295	0.000
rs9268541 lBF = `12.7304` Chr`6` : `32,384,527`	0.704	0.296	0.000
rs13216156 lBF = `13.8063` Chr`6` : `157,390,781`	0.704	0.296	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.704	0.296	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.703	0.297	0.000
rs75018213 lBF = `22.9297` Chr`6` : `146,052,178`	0.701	0.299	0.000
rs3094622 lBF = `303.394` Chr`6` : `30,327,952`	0.701	0.299	0.000
rs11702983 lBF = `16.3059` Chr`22` : `29,737,071`	0.701	0.299	0.000
rs11115322 lBF = `13.8059` Chr`12` : `83,019,188`	0.701	0.299	0.000
rs3094621 lBF = `303.875` Chr`6` : `30,328,753`	0.701	0.299	0.000
rs78717951 lBF = `11.5847` Chr`11` : `130,240,686`	0.700	0.300	0.000
rs9273363 lBF = `489.584` Chr`6` : `32,626,272`	0.700	0.300	0.000
rs111771141 lBF = `14.5556` Chr`3` : `6,413,411`	0.700	0.300	0.000
rs72747768 lBF = `20.1176` Chr`5` : `31,144,272`	0.699	0.301	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.699	0.301	0.000
rs55715455 lBF = `23.8176` Chr`6` : `146,573,162`	0.699	0.301	0.000
rs72956995 lBF = `10.4969` Chr`6` : `118,951,276`	0.699	0.301	0.000
rs2106212 lBF = `24.403` Chr`8` : `12,569,241`	0.699	0.301	0.000
rs76809125 lBF = `14.9284` Chr`2` : `18,402,656`	0.699	0.301	0.000
rs2174550 lBF = `7.80091` Chr`5` : `40,602,383`	0.698	0.302	0.000
rs78007825 lBF = `16.5751` Chr`1` : `113,873,578`	0.698	0.302	0.000
rs12201940 lBF = `14.3443` Chr`6` : `5,859,679`	0.697	0.303	0.000
rs3130070 lBF = `334.536` Chr`6` : `31,591,808`	0.697	0.303	0.000
rs3130627 lBF = `337.805` Chr`6` : `31,600,851`	0.696	0.304	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.696	0.304	0.000
rs12139703 lBF = `12.288` Chr`1` : `81,472,317`	0.696	0.304	0.000
rs1264695 lBF = `122.611` Chr`6` : `30,067,892`	0.696	0.304	0.000
rs5875328 lBF = `331.092` Chr`6` : `31,606,901`	0.695	0.305	0.000
rs17167021 lBF = `4.28036` Chr`5` : `98,880,299`	0.695	0.305	0.000
rs74754122 lBF = `23.2295` Chr`6` : `145,961,790`	0.694	0.306	0.000
rs3115663 lBF = `338.64` Chr`6` : `31,601,843`	0.693	0.307	0.000
rs13182752 lBF = `18.852` Chr`5` : `52,672,171`	0.693	0.307	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.692	0.308	0.000
rs78943781 lBF = `9.83402` Chr`19` : `32,443,306`	0.691	0.308	0.000
rs116879316 lBF = `13.0202` Chr`11` : `24,123,914`	0.691	0.309	0.000
rs79969300 lBF = `11.4945` Chr`11` : `7,563,126`	0.691	0.309	0.000
rs117156109 lBF = `29.2944` Chr`17` : `75,856,929`	0.691	0.309	0.000
rs17561091 lBF = `19.659` Chr`18` : `33,053,097`	0.691	0.309	0.000
rs77068175 lBF = `13.8412` Chr`17` : `11,117,116`	0.691	0.309	0.000
rs34253858 lBF = `17.8124` Chr`6` : `146,533,489`	0.690	0.310	0.000
rs17006842 lBF = `1.77826` Chr`3` : `70,259,702`	0.689	0.310	0.000
rs79930676 lBF = `6.9033` Chr`5` : `151,110,744`	0.689	0.311	0.000
rs3130618 lBF = `335.092` Chr`6` : `31,632,134`	0.687	0.313	0.000
rs11229 lBF = `338.99` Chr`6` : `31,603,770`	0.686	0.314	0.000
rs34737133 lBF = `33.9542` Chr`11` : `69,042,608`	0.686	0.314	0.000
rs73217910 lBF = `14.853` Chr`12` : `118,450,865`	0.686	0.314	0.000
rs1610742 lBF = `88.8708` Chr`6` : `29,677,952`	0.686	0.314	0.000
rs115509457 lBF = `15.7024` Chr`3` : `140,430,992`	0.685	0.315	0.000
rs9837806 lBF = `20.5678` Chr`3` : `161,064,585`	0.684	0.316	0.000
rs116701803 lBF = `16.489` Chr`5` : `125,496,653`	0.684	0.316	0.000
rs7277179 lBF = `15.5832` Chr`21` : `30,758,760`	0.683	0.317	0.000
rs117402109 lBF = `17.7054` Chr`8` : `108,708,382`	0.683	0.317	0.000
rs7382714 lBF = `181.162` Chr`6` : `32,767,496`	0.682	0.318	0.000
rs74745420 lBF = `15.0287` Chr`3` : `125,702,812`	0.682	0.318	0.000
rs4800316 lBF = `9.39887` Chr`18` : `26,609,089`	0.682	0.318	0.000
rs117777096 lBF = `23.9824` Chr`13` : `50,626,599`	0.682	0.318	0.000
rs3117583 lBF = `338.249` Chr`6` : `31,619,576`	0.682	0.318	0.000
rs112634398 lBF = `2.25528` Chr`3` : `50,075,494`	0.681	0.319	0.000
rs76822006 lBF = `39.2942` Chr`13` : `50,922,728`	0.681	0.319	0.000
rs6912002 lBF = `178.474` Chr`6` : `32,765,268`	0.681	0.319	0.000
rs117593613 lBF = `20.9111` Chr`14` : `88,296,569`	0.680	0.319	0.000
rs3132627 lBF = `309.45` Chr`6` : `30,346,760`	0.680	0.320	0.000
rs9308962 lBF = `12.3845` Chr`2` : `35,155,265`	0.680	0.320	0.000
rs72820359 lBF = `9.17012` Chr`17` : `1,523,967`	0.680	0.320	0.000
rs4815020 lBF = `12.6351` Chr`20` : `21,077,772`	0.680	0.320	0.000
rs111515202 lBF = `13.7663` Chr`1` : `19,206,805`	0.679	0.320	0.000
rs117479459 lBF = `33.389` Chr`7` : `3,459,194`	0.679	0.321	0.000
rs7381376 lBF = `178.508` Chr`6` : `32,767,673`	0.678	0.322	0.000
rs72686220 lBF = `11.9345` Chr`4` : `100,980,334`	0.678	0.322	0.000
rs117010525 lBF = `14.7473` Chr`17` : `46,605,689`	0.677	0.323	0.000
rs116527709 lBF = `14.7969` Chr`1` : `87,398,673`	0.677	0.323	0.000
rs73181128 lBF = `14.6376` Chr`3` : `178,122,115`	0.676	0.324	0.000
rs4468302 lBF = `31.0559` Chr`10` : `60,164,572`	0.675	0.325	0.000
rs1633096 lBF = `97.5333` Chr`6` : `29,707,267`	0.675	0.325	0.000
rs74335365 lBF = `9.03859` Chr`14` : `60,693,242`	0.674	0.326	0.000
rs77468433 lBF = `17.4594` Chr`1` : `77,140,699`	0.674	0.326	0.000
rs78471656 lBF = `30.7699` Chr`1` : `77,014,674`	0.674	0.326	0.000
rs2286251 lBF = `14.6643` Chr`7` : `107,702,877`	0.674	0.326	0.000
rs73026643 lBF = `26.1067` Chr`11` : `118,166,597`	0.673	0.327	0.000
rs17587640 lBF = `6.65411` Chr`1` : `192,101,505`	0.673	0.327	0.000
rs13012498 lBF = `19.1236` Chr`2` : `175,594,387`	0.672	0.328	0.000
rs78428368 lBF = `24.4407` Chr`4` : `164,617,481`	0.672	0.328	0.000
rs9273364 lBF = `475.788` Chr`6` : `32,626,302`	0.672	0.328	0.000
rs75435968 lBF = `11.9878` Chr`7` : `137,152,383`	0.671	0.329	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.671	0.329	0.000
rs13169004 lBF = `15.3172` Chr`5` : `129,793,171`	0.671	0.329	0.000
rs9276734 lBF = `178.832` Chr`6` : `32,766,854`	0.671	0.329	0.000
rs111726812 lBF = `16.437` Chr`8` : `123,965,193`	0.671	0.329	0.000
rs2471980 lBF = `301.907` Chr`6` : `31,800,868`	0.670	0.330	0.000
rs74850413 lBF = `11.8512` Chr`15` : `98,258,859`	0.670	0.330	0.000
rs6155 lBF = `15.4926` Chr`6` : `87,797,904`	0.670	0.330	0.000
rs17843975 lBF = `13.0672` Chr`4` : `159,628,522`	0.670	0.330	0.000
rs17272021 lBF = `15.6568` Chr`21` : `47,491,937`	0.668	0.331	0.000
rs76884878 lBF = `35.0894` Chr`13` : `50,348,776`	0.668	0.332	0.000
rs71564781 lBF = `7.78973` Chr`7` : `106,041,964`	0.668	0.332	0.000
rs9913352 lBF = `7.55706` Chr`17` : `53,818,042`	0.668	0.332	0.000
rs12500459 lBF = `8.9164` Chr`4` : `3,284,340`	0.668	0.332	0.000
rs3129812 lBF = `307.361` Chr`6` : `30,337,974`	0.668	0.332	0.000
rs79990645 lBF = `16.7731` Chr`1` : `42,924,003`	0.668	0.332	0.000
rs2965313 lBF = `14.0878` Chr`15` : `48,241,505`	0.667	0.333	0.000
rs16879552 lBF = `5.16584` Chr`8` : `32,411,216`	0.667	0.333	0.000
rs11758000 lBF = `15.1787` Chr`6` : `124,947,642`	0.666	0.333	0.000
rs78299770 lBF = `19.195` Chr`11` : `82,051,378`	0.666	0.334	0.000
rs114453043 lBF = `22.0948` Chr`12` : `25,461,756`	0.666	0.334	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.666	0.334	0.000
rs3115665 lBF = `337.342` Chr`6` : `31,589,264`	0.666	0.334	0.000
rs145629243 lBF = `35.3075` Chr`6` : `43,307,399`	0.666	0.334	0.000
rs115523726 lBF = `19.6278` Chr`5` : `127,412,113`	0.666	0.334	0.000
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rs6940037 lBF = `17.5723` Chr`6` : `30,908,379`	0.618	0.382	0.000
rs116018140 lBF = `24.9673` Chr`2` : `106,054,384`	0.618	0.382	0.000
rs1264709 lBF = `168.365` Chr`6` : `30,056,476`	0.617	0.383	0.000
rs853896 lBF = `13.7716` Chr`10` : `120,105,670`	0.617	0.383	0.000
rs117631583 lBF = `15.1608` Chr`7` : `78,667,335`	0.617	0.383	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.617	0.383	0.000
rs77952591 lBF = `17.9306` Chr`10` : `78,300,681`	0.617	0.383	0.000
rs73313995 lBF = `22.0276` Chr`12` : `33,622,807`	0.616	0.384	0.000
rs78404370 lBF = `15.4279` Chr`4` : `169,603,632`	0.616	0.384	0.000
rs9468831 lBF = `13.0168` Chr`6` : `30,749,844`	0.616	0.384	0.000
rs11023139 lBF = `9.7229` Chr`11` : `14,224,346`	0.615	0.385	0.000
rs35868637 lBF = `14.7865` Chr`8` : `94,743,876`	0.614	0.385	0.000
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.614	0.386	0.000
rs117134709 lBF = `14.2154` Chr`10` : `99,843,767`	0.614	0.386	0.000
rs117673410 lBF = `14.9552` Chr`14` : `50,519,643`	0.614	0.386	0.000
rs35836893 lBF = `13.1371` Chr`10` : `101,568,662`	0.614	0.386	0.000
rs148691683 lBF = `20.3785` Chr`3` : `81,821,483`	0.614	0.386	0.000
rs112232665 lBF = `16.6494` Chr`15` : `85,869,137`	0.614	0.386	0.000
rs41563818 lBF = `26.1209` Chr`6` : `31,323,414`	0.613	0.387	0.000
rs72659626 lBF = `18.2705` Chr`8` : `72,920,433`	0.613	0.387	0.000
rs3130375 lBF = `279.099` Chr`6` : `30,321,732`	0.613	0.387	0.000
rs112635299 lBF = `54.2277` Chr`14` : `94,838,142`	0.613	0.387	0.000
rs6926224 lBF = `16.8911` Chr`6` : `30,882,689`	0.612	0.388	0.000
rs115741020 lBF = `14.7822` Chr`4` : `46,236,160`	0.612	0.388	0.000
rs1107160 lBF = `16.6018` Chr`6` : `28,671,422`	0.611	0.389	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.611	0.389	0.000
rs114469043 lBF = `14.4686` Chr`6` : `31,588,865`	0.611	0.389	0.000
rs117620493 lBF = `19.1648` Chr`7` : `67,995,633`	0.611	0.389	0.000
rs35850753 lBF = `52.2551` Chr`17` : `7,578,671`	0.610	0.389	0.000
rs375984 lBF = `101.301` Chr`6` : `29,644,502`	0.610	0.390	0.000
rs113898198 lBF = `14.1328` Chr`5` : `113,603,570`	0.609	0.391	0.000
rs79075617 lBF = `31.1436` Chr`6` : `56,693,272`	0.609	0.391	0.000
rs118155371 lBF = `14.9536` Chr`14` : `49,874,673`	0.609	0.391	0.000
rs6755097 lBF = `8.53243` Chr`2` : `196,116,079`	0.609	0.391	0.000
rs3130377 lBF = `306.414` Chr`6` : `30,323,393`	0.609	0.391	0.000
rs182679717 lBF = `13.1183` Chr`6` : `41,975,693`	0.609	0.391	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.609	0.391	0.000
rs7140889 lBF = `14.9122` Chr`14` : `31,153,199`	0.609	0.391	0.000
rs35724370 lBF = `16.3571` Chr`21` : `29,751,778`	0.608	0.392	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.608	0.392	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.607	0.392	0.000
rs62076101 lBF = `21.8133` Chr`17` : `45,882,243`	0.607	0.393	0.000
rs61791114 lBF = `15.9998` Chr`3` : `170,748,859`	0.607	0.393	0.000
rs72730632 lBF = `12.8769` Chr`5` : `13,676,982`	0.607	0.393	0.000
rs75239648 lBF = `14.3267` Chr`1` : `244,855,509`	0.607	0.393	0.000
rs3130351 lBF = `308.615` Chr`6` : `30,328,192`	0.606	0.394	0.000
rs117997774 lBF = `15.7924` Chr`11` : `60,280,008`	0.606	0.394	0.000
rs77544976 lBF = `8.34279` Chr`8` : `143,465,481`	0.605	0.394	0.000
rs13209782 lBF = `23.882` Chr`6` : `146,142,384`	0.605	0.395	0.000
rs75891980 lBF = `37.2122` Chr`11` : `93,879,832`	0.605	0.395	0.000
rs16861952 lBF = `10.2223` Chr`3` : `149,252,824`	0.605	0.395	0.000
rs114520588 lBF = `15.0452` Chr`5` : `102,609,139`	0.605	0.395	0.000
rs3130352 lBF = `308.277` Chr`6` : `30,328,357`	0.604	0.396	0.000
rs114810504 lBF = `15.1707` Chr`4` : `46,924,725`	0.604	0.396	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.604	0.396	0.000
rs77145174 lBF = `21.2117` Chr`15` : `57,177,676`	0.603	0.396	0.000
rs77073981 lBF = `11.9832` Chr`19` : `23,235,972`	0.603	0.397	0.000
rs74494131 lBF = `13.8432` Chr`6` : `33,609,592`	0.603	0.397	0.000
rs148743497 lBF = `31.1946` Chr`3` : `43,743,914`	0.603	0.397	0.000
rs117662109 lBF = `19.3722` Chr`14` : `47,236,919`	0.603	0.397	0.000
rs73138705 lBF = `14.0343` Chr`3` : `85,470,361`	0.603	0.397	0.000
rs116876575 lBF = `16.1237` Chr`22` : `49,899,208`	0.603	0.397	0.000
rs2763979 lBF = `290.128` Chr`6` : `31,794,592`	0.603	0.397	0.000
rs145244554 lBF = `6.78114` Chr`2` : `178,955,022`	0.602	0.398	0.000
rs72800569 lBF = `26.3959` Chr`10` : `60,342,485`	0.602	0.398	0.000
rs117149178 lBF = `10.7957` Chr`18` : `6,749,496`	0.602	0.398	0.000
rs3094061 lBF = `279.359` Chr`6` : `30,321,189`	0.601	0.398	0.000
rs241437 lBF = `93.8533` Chr`6` : `32,797,684`	0.601	0.399	0.000
rs116375727 lBF = `13.6047` Chr`2` : `2,807,724`	0.601	0.399	0.000
rs117140019 lBF = `22.4153` Chr`17` : `27,396,153`	0.601	0.399	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.601	0.399	0.000
rs74765593 lBF = `18.3408` Chr`3` : `182,339,787`	0.600	0.400	0.000
rs76966743 lBF = `8.02239` Chr`4` : `138,144,790`	0.600	0.400	0.000
rs16905439 lBF = `6.71325` Chr`8` : `136,989,204`	0.600	0.400	0.000
rs75964673 lBF = `16.7468` Chr`3` : `192,398,663`	0.600	0.400	0.000
rs4660808 lBF = `1.09854` Chr`1` : `40,018,509`	0.600	0.400	0.000
rs219976 lBF = `9.00082` Chr`6` : `12,199,517`	0.599	0.401	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.599	0.401	0.000
rs78405110 lBF = `29.5365` Chr`18` : `45,329,408`	0.599	0.401	0.000
rs78564868 lBF = `15.4695` Chr`14` : `96,363,347`	0.598	0.401	0.000
rs17654611 lBF = `16.7861` Chr`8` : `139,156,782`	0.598	0.401	0.000
rs79792575 lBF = `18.2157` Chr`6` : `30,920,086`	0.598	0.402	0.000
rs56270424 lBF = `22.4467` Chr`6` : `28,833,626`	0.598	0.402	0.000
rs115907570 lBF = `20.1805` Chr`1` : `216,193,231`	0.597	0.403	0.000
rs116950009 lBF = `16.9481` Chr`6` : `145,984,149`	0.597	0.403	0.000
rs8131653 lBF = `1.50705` Chr`21` : `45,644,684`	0.597	0.403	0.000
rs3095340 lBF = `286.464` Chr`6` : `30,726,939`	0.597	0.403	0.000
rs1980493 lBF = `273.275` Chr`6` : `32,363,215`	0.597	0.403	0.000
rs114122048 lBF = `17.5378` Chr`5` : `167,787,265`	0.597	0.403	0.000
rs3094176 lBF = `164.456` Chr`6` : `29,821,270`	0.596	0.403	0.000
rs118097116 lBF = `18.1078` Chr`11` : `74,447,931`	0.596	0.404	0.000
rs114162361 lBF = `7.44447` Chr`1` : `174,575,642`	0.596	0.404	0.000
rs79470404 lBF = `28.8963` Chr`3` : `136,509,875`	0.596	0.404	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

0.6731

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.3488

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.9864

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9847

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9783

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.9746

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9741

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9651

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.9579

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9568

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.9337

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.9318

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.9313

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.9267

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9261

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9201

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9141

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9121

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.9106

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9090

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9055

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9018

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.9015

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8959

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.8951

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.8944

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.8852

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.8838

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8816

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.8763

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8760

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.8725

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8544

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8537

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.8525

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.8460

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.8435

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.8410

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.8385

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.8384

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8313

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.8294

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.8292

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.8263

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.8147

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.8095

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8088

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8077

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.8037

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.8025

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8007

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7944

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7942

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.7934

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7910

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7804

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7785

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7712

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.7659

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7649

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.7630

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.7618

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.7538

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.7446

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.7309

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7286

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.7268

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.7131

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7095

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7090

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7081

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7067

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7050

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.7037

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7032

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7000

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.6911

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.6902

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.6887

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6824

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.6799

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6675

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6645

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.6638

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6608

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.6545

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6528

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6465

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.6397

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.6209

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.6193

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.6177

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6157

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.6107

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6028

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5996

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5949

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.5917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.5686

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.5662

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5565

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.5529

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.5509

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.5498

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.5456

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.5431

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.5416

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.5394

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5295

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.5126

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.5124

Cluster X0172

log Bayes Factor = 80.2701

contains 3 variants

0.5106

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.4983

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.4888

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4852

Cluster X0173

log Bayes Factor = 654.164

contains 9 variants

0.4846

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.4832

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.4812

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.4734

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.4730

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4696

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.4681

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.4680

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4659

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.4548

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.4530

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.4486

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.4477

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.4412

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.4222

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4138

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.4108

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.4041

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.4013

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.3725

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.3720

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3612

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.3537

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.3529

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3444

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.3221

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.3219

Cluster X0046

log Bayes Factor = 387.972

contains 16 variants

0.3099

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.3098

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.2643

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.2635

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.2415

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.2368

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2236

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2075

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2041

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.1803

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.1793

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.1698

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1420

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1270

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1138

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.1092

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0954

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0951

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0706

Cluster X0163

log Bayes Factor = 122.554

contains 6 variants

0.0586

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.0581

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.0558

Cluster X0247

log Bayes Factor = 98.6507

contains 6 variants

0.0506

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`)