TreeWAS – [O36.6] Maternal care for excessive foetal growth

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
rs73602806 lBF = `6.20853` Chr`19` : `36,168,646`	0.978	0.022	0.000
rs58952294 lBF = `6.46717` Chr`19` : `36,184,643`	0.978	0.022	0.000
rs2227278 lBF = `7.91754` Chr`19` : `36,206,050`	0.972	0.028	0.000
rs16970649 lBF = `5.96979` Chr`19` : `36,222,857`	0.964	0.036	0.000
Affx-15892044 lBF = `7.1836` Chr`19` : `36,230,767`	0.955	0.045	0.000
rs2267586 lBF = `8.83369` Chr`19` : `36,159,368`	0.954	0.046	0.000
rs73592448 lBF = `7.09386` Chr`19` : `36,258,721`	0.954	0.046	0.000
rs73599289 lBF = `8.85426` Chr`19` : `36,156,281`	0.954	0.046	0.000
rs17242346 lBF = `9.05282` Chr`19` : `11,198,780`	0.923	0.077	0.000
rs36080042 lBF = `7.12997` Chr`10` : `65,426,785`	0.901	0.099	0.000
rs9978888 lBF = `8.12132` Chr`21` : `18,002,476`	0.885	0.115	0.000
rs17256048 lBF = `12.0162` Chr`11` : `98,607,374`	0.882	0.118	0.000
rs34484155 lBF = `9.50363` Chr`21` : `30,598,750`	0.000	0.118	0.882
rs72731844 lBF = `8.46443` Chr`4` : `147,555,879`	0.876	0.124	0.000
rs35506702 lBF = `8.81167` Chr`10` : `65,045,865`	0.871	0.129	0.000
rs79658056 lBF = `13.7273` Chr`10` : `74,658,060`	0.865	0.135	0.000
rs117451751 lBF = `9.59278` Chr`17` : `12,809,905`	0.861	0.139	0.000
rs12127944 lBF = `1.82396` Chr`1` : `205,483,595`	0.858	0.142	0.000
rs75285952 lBF = `1.61462` Chr`4` : `27,904,556`	0.854	0.146	0.000
rs9300286 lBF = `6.33079` Chr`12` : `128,617,839`	0.853	0.147	0.000
rs10498722 lBF = `18.6526` Chr`6` : `25,186,512`	0.841	0.159	0.000
rs75626916 lBF = `11.7941` Chr`12` : `108,663,870`	0.838	0.162	0.000
rs78603684 lBF = `12.2634` Chr`10` : `74,321,054`	0.837	0.163	0.000
rs57083132 lBF = `7.71528` Chr`6` : `82,762,197`	0.834	0.165	0.000
rs12403995 lBF = `6.45074` Chr`1` : `221,921,377`	0.834	0.166	0.000
rs2526391 lBF = `5.75868` Chr`3` : `50,169,266`	0.832	0.168	0.000
rs73889852 lBF = `5.62659` Chr`3` : `189,561,323`	0.830	0.170	0.000
rs35632171 lBF = `10.0741` Chr`10` : `65,109,502`	0.827	0.173	0.000
rs73951098 lBF = `16.0578` Chr`18` : `27,470,942`	0.820	0.180	0.000
rs1386003 lBF = `12.5875` Chr`12` : `13,213,682`	0.820	0.180	0.000
rs10494973 lBF = `7.9198` Chr`1` : `214,132,143`	0.811	0.189	0.000
rs9918841 lBF = `16.249` Chr`8` : `91,193,959`	0.808	0.192	0.000
rs116066300 lBF = `16.0918` Chr`6` : `22,877,032`	0.808	0.192	0.000
rs12410444 lBF = `1.56248` Chr`1` : `44,188,719`	0.801	0.199	0.000
rs77649004 lBF = `14.247` Chr`12` : `96,135,916`	0.797	0.203	0.000
rs12321507 lBF = `16.2879` Chr`12` : `96,134,818`	0.797	0.203	0.000
rs11108227 lBF = `16.4201` Chr`12` : `96,134,001`	0.793	0.207	0.000
rs34256314 lBF = `9.29528` Chr`11` : `87,130,422`	0.790	0.210	0.000
rs78289709 lBF = `16.6994` Chr`18` : `27,498,046`	0.789	0.211	0.000
rs35706810 lBF = `13.6488` Chr`1` : `213,933,949`	0.788	0.212	0.000
rs150639459 lBF = `11.2123` Chr`8` : `18,804,686`	0.787	0.213	0.000
rs2132138 lBF = `13.4027` Chr`8` : `15,386,569`	0.787	0.213	0.000
rs80031977 lBF = `14.0549` Chr`3` : `49,599,902`	0.786	0.214	0.000
rs17880984 lBF = `14.3287` Chr`3` : `3,127,122`	0.785	0.215	0.000
rs4151670 lBF = `21.3629` Chr`6` : `31,915,532`	0.784	0.216	0.000
rs140529718 lBF = `2.47724` Chr`5` : `111,326,200`	0.784	0.216	0.000
rs74907094 lBF = `13.9899` Chr`18` : `60,886,937`	0.782	0.218	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.781	0.219	0.000
rs35426951 lBF = `19.3875` Chr`4` : `4,566,274`	0.777	0.223	0.000
rs16893349 lBF = `16.5225` Chr`8` : `134,207,963`	0.777	0.223	0.000
rs8142548 lBF = `11.8001` Chr`22` : `37,365,039`	0.776	0.224	0.000
rs62235996 lBF = `12.7384` Chr`22` : `38,041,015`	0.774	0.225	0.000
rs16998069 lBF = `3.34861` Chr`22` : `23,494,926`	0.774	0.226	0.000
rs79635565 lBF = `14.2779` Chr`3` : `42,538,627`	0.773	0.227	0.000
rs117525990 lBF = `11.468` Chr`10` : `106,848,064`	0.773	0.227	0.000
rs71370433 lBF = `1.56699` Chr`17` : `6,197,824`	0.772	0.228	0.000
rs9671547 lBF = `5.40262` Chr`14` : `21,203,332`	0.769	0.231	0.000
rs11717635 lBF = `14.2382` Chr`3` : `65,469,748`	0.768	0.232	0.000
rs7782376 lBF = `1.74258` Chr`7` : `116,577,124`	0.768	0.232	0.000
rs75205007 lBF = `13.899` Chr`6` : `3,886,591`	0.766	0.234	0.000
rs72683295 lBF = `19.6099` Chr`1` : `103,466,407`	0.765	0.235	0.000
rs35404844 lBF = `99.3549` Chr`6` : `33,269,881`	0.764	0.236	0.000
rs12646291 lBF = `9.83219` Chr`4` : `910,875`	0.763	0.237	0.000
rs62404827 lBF = `14.5298` Chr`6` : `31,932,556`	0.760	0.240	0.000
rs57450513 lBF = `3.07688` Chr`5` : `141,225,446`	0.757	0.243	0.000
rs76558737 lBF = `11.0862` Chr`18` : `19,432,268`	0.753	0.247	0.000
rs77211134 lBF = `9.0942` Chr`3` : `30,366,119`	0.752	0.248	0.000
rs80002652 lBF = `18.6612` Chr`12` : `107,437,422`	0.751	0.249	0.000
rs114041233 lBF = `5.60402` Chr`1` : `14,605,530`	0.750	0.250	0.000
rs141799618 lBF = `2.03652` Chr`19` : `41,188,078`	0.000	0.256	0.744
rs3736995 lBF = `2.66976` Chr`13` : `26,923,565`	0.743	0.257	0.000
rs115281334 lBF = `15.0554` Chr`4` : `78,595,878`	0.742	0.258	0.000
rs116780164 lBF = `15.0871` Chr`4` : `15,084,981`	0.738	0.262	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.737	0.263	0.000
rs77103806 lBF = `6.36663` Chr`12` : `23,021,423`	0.736	0.264	0.000
rs115380428 lBF = `16.4549` Chr`5` : `18,099,592`	0.736	0.264	0.000
rs45505795 lBF = `15.9739` Chr`14` : `94,756,943`	0.736	0.264	0.000
rs117491017 lBF = `13.5104` Chr`10` : `82,973,059`	0.726	0.274	0.000
rs41270458 lBF = `12.1426` Chr`6` : `32,063,896`	0.726	0.274	0.000
rs9374842 lBF = `7.02448` Chr`6` : `120,185,665`	0.000	0.274	0.726
rs117182866 lBF = `23.3157` Chr`6` : `112,035,847`	0.726	0.274	0.000
rs72696757 lBF = `13.7503` Chr`1` : `112,707,919`	0.725	0.275	0.000
rs117508732 lBF = `10.2984` Chr`15` : `67,824,170`	0.724	0.276	0.000
rs1329530 lBF = `7.19577` Chr`6` : `120,182,610`	0.723	0.277	0.000
rs2663357 lBF = `14.3146` Chr`17` : `811,874`	0.721	0.279	0.000
rs114414817 lBF = `16.8696` Chr`5` : `144,809,230`	0.719	0.280	0.000
rs72727381 lBF = `15.1333` Chr`15` : `38,823,527`	0.719	0.281	0.000
rs116995606 lBF = `15.6911` Chr`1` : `203,149,906`	0.719	0.281	0.000
rs80204783 lBF = `12.4343` Chr`4` : `9,894,371`	0.719	0.281	0.000
rs117337372 lBF = `13.2949` Chr`17` : `11,026,937`	0.719	0.281	0.000
rs62378043 lBF = `12.7136` Chr`5` : `117,199,683`	0.716	0.284	0.000
rs76754339 lBF = `2.82851` Chr`6` : `118,104,136`	0.715	0.285	0.000
rs75061448 lBF = `16.6364` Chr`6` : `135,296,684`	0.714	0.286	0.000
rs79858930 lBF = `31.6188` Chr`10` : `83,047,434`	0.714	0.286	0.000
rs12409334 lBF = `13.2966` Chr`1` : `206,718,142`	0.713	0.287	0.000
rs854625 lBF = `15.4246` Chr`17` : `34,328,461`	0.713	0.287	0.000
rs76601328 lBF = `15.0502` Chr`5` : `71,077,144`	0.712	0.288	0.000
rs1910003 lBF = `1.03173` Chr`5` : `125,304,547`	0.711	0.289	0.000
rs7605378 lBF = `2.57393` Chr`2` : `200,676,926`	0.710	0.290	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.710	0.290	0.000
rs118137384 lBF = `25.456` Chr`20` : `9,532,957`	0.709	0.291	0.000
rs9608465 lBF = `8.83361` Chr`22` : `26,557,408`	0.708	0.292	0.000
rs72920755 lBF = `9.73099` Chr`2` : `55,993,809`	0.708	0.292	0.000
rs6112821 lBF = `2.82457` Chr`20` : `2,074,323`	0.708	0.292	0.000
rs76123431 lBF = `7.56428` Chr`1` : `46,357,802`	0.708	0.292	0.000
rs4714669 lBF = `12.884` Chr`6` : `43,122,369`	0.708	0.292	0.000
rs1889721 lBF = `15.2322` Chr`14` : `57,778,179`	0.707	0.292	0.000
rs11841026 lBF = `12.9537` Chr`13` : `21,013,176`	0.707	0.293	0.000
rs4839680 lBF = `1.36876` Chr`3` : `143,902,027`	0.707	0.293	0.000
rs4384548 lBF = `2.26682` Chr`14` : `96,645,143`	0.000	0.293	0.707
rs10835606 lBF = `6.93759` Chr`11` : `30,004,238`	0.707	0.293	0.000
rs73271426 lBF = `11.5943` Chr`7` : `13,645,098`	0.706	0.294	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.705	0.295	0.000
rs113652541 lBF = `18.6299` Chr`15` : `53,573,692`	0.705	0.295	0.000
rs80043425 lBF = `5.24748` Chr`5` : `52,050,702`	0.704	0.296	0.000
rs12905014 lBF = `3.80001` Chr`15` : `92,883,840`	0.704	0.296	0.000
rs78785836 lBF = `21.9706` Chr`4` : `9,844,767`	0.703	0.297	0.000
rs117438523 lBF = `14.3842` Chr`8` : `14,577,786`	0.702	0.298	0.000
rs3731189 lBF = `12.1962` Chr`3` : `14,186,238`	0.702	0.298	0.000
rs17192386 lBF = `29.99` Chr`6` : `31,256,058`	0.701	0.299	0.000
rs12478336 lBF = `13.7791` Chr`2` : `172,046,582`	0.700	0.300	0.000
rs60078135 lBF = `5.25935` Chr`8` : `1,082,832`	0.700	0.300	0.000
rs72658822 lBF = `15.1905` Chr`7` : `21,932,031`	0.700	0.300	0.000
rs112673116 lBF = `15.2275` Chr`2` : `171,242,804`	0.698	0.302	0.000
rs79733042 lBF = `12.0741` Chr`3` : `146,691,517`	0.698	0.302	0.000
rs79638442 lBF = `13.2792` Chr`5` : `66,180,409`	0.697	0.303	0.000
rs114266608 lBF = `12.9331` Chr`3` : `7,233,078`	0.696	0.304	0.000
rs117559199 lBF = `8.42044` Chr`12` : `75,424,551`	0.695	0.305	0.000
rs77759352 lBF = `23.6884` Chr`18` : `19,521,256`	0.694	0.306	0.000
rs12721025 lBF = `1.60152` Chr`11` : `116,706,047`	0.000	0.306	0.694
rs13195210 lBF = `65.5785` Chr`6` : `26,646,521`	0.693	0.307	0.000
rs117123268 lBF = `19.5843` Chr`14` : `76,719,166`	0.693	0.307	0.000
rs76338037 lBF = `17.1925` Chr`5` : `18,496,375`	0.692	0.308	0.000
rs7772131 lBF = `23.7516` Chr`6` : `30,795,171`	0.692	0.308	0.000
rs116254114 lBF = `9.25391` Chr`14` : `21,228,586`	0.692	0.308	0.000
rs72874188 lBF = `30.4877` Chr`6` : `62,016,012`	0.691	0.309	0.000
rs13134917 lBF = `18.2629` Chr`4` : `158,640,682`	0.690	0.310	0.000
rs72687906 lBF = `23.6881` Chr`1` : `113,922,269`	0.690	0.310	0.000
rs41291189 lBF = `5.43607` Chr`3` : `69,074,878`	0.690	0.310	0.000
rs11118844 lBF = `1.43161` Chr`1` : `221,910,288`	0.690	0.310	0.000
rs79774432 lBF = `14.4188` Chr`15` : `38,172,034`	0.689	0.311	0.000
rs77837545 lBF = `13.4569` Chr`5` : `35,622,892`	0.688	0.312	0.000
rs116955587 lBF = `13.3887` Chr`6` : `97,757,667`	0.687	0.313	0.000
rs17219423 lBF = `19.3194` Chr`2` : `208,063,963`	0.685	0.315	0.000
rs75807633 lBF = `18.3777` Chr`6` : `135,495,020`	0.684	0.316	0.000
rs117703456 lBF = `19.1338` Chr`13` : `43,083,754`	0.684	0.316	0.000
rs62314938 lBF = `16.002` Chr`4` : `75,422,156`	0.684	0.316	0.000
rs73143690 lBF = `18.8896` Chr`7` : `98,201,780`	0.684	0.316	0.000
rs17710883 lBF = `12.3438` Chr`1` : `214,104,347`	0.684	0.316	0.000
rs116144413 lBF = `13.7612` Chr`4` : `946,403`	0.683	0.317	0.000
rs73040424 lBF = `7.46879` Chr`12` : `5,665,454`	0.683	0.317	0.000
rs77955651 lBF = `12.6473` Chr`7` : `48,056,220`	0.683	0.317	0.000
rs548726 lBF = `0.488313` Chr`1` : `5,913,621`	0.000	0.318	0.682
rs10439884 lBF = `5.61662` Chr`21` : `10,971,951`	0.679	0.321	0.000
rs1801276 lBF = `19.3797` Chr`2` : `227,661,921`	0.678	0.322	0.000
rs77302254 lBF = `3.40499` Chr`11` : `11,593,573`	0.676	0.324	0.000
rs9959639 lBF = `10.7013` Chr`18` : `71,891,450`	0.676	0.324	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.676	0.324	0.000
rs62402721 lBF = `13.1732` Chr`6` : `32,087,258`	0.676	0.324	0.000
rs61754763 lBF = `16.2187` Chr`20` : `5,966,763`	0.675	0.325	0.000
rs116900477 lBF = `12.2144` Chr`7` : `117,202,817`	0.675	0.325	0.000
rs12136606 lBF = `19.0454` Chr`1` : `15,741,403`	0.674	0.326	0.000
rs76976907 lBF = `8.94995` Chr`22` : `48,387,302`	0.674	0.326	0.000
rs12539417 lBF = `18.0477` Chr`7` : `135,720,705`	0.673	0.327	0.000
rs34260939 lBF = `18.531` Chr`10` : `105,800,893`	0.673	0.327	0.000
rs79863952 lBF = `10.9902` Chr`18` : `74,602,869`	0.673	0.327	0.000
rs79110379 lBF = `23.2625` Chr`4` : `158,586,316`	0.672	0.328	0.000
rs1431856 lBF = `19.4581` Chr`10` : `92,797,757`	0.671	0.329	0.000
rs12892019 lBF = `13.1568` Chr`14` : `25,759,476`	0.671	0.329	0.000
rs2585617 lBF = `4.35661` Chr`6` : `69,337,787`	0.671	0.329	0.000
rs79574157 lBF = `7.67468` Chr`14` : `103,060,568`	0.670	0.330	0.000
rs8127967 lBF = `12.6191` Chr`21` : `21,763,036`	0.668	0.332	0.000
rs62392365 lBF = `46.9408` Chr`6` : `25,371,369`	0.668	0.332	0.000
rs75867155 lBF = `6.99353` Chr`2` : `8,029,114`	0.668	0.332	0.000
rs76670418 lBF = `10.9855` Chr`8` : `60,334,045`	0.668	0.332	0.000
rs80076601 lBF = `13.5975` Chr`20` : `24,148,686`	0.667	0.333	0.000
rs8107107 lBF = `7.30758` Chr`19` : `42,477,310`	0.667	0.333	0.000
rs75668017 lBF = `16.6332` Chr`15` : `94,960,358`	0.665	0.335	0.000
rs73021687 lBF = `16.4414` Chr`1` : `160,014,637`	0.665	0.335	0.000
rs75593565 lBF = `13.6234` Chr`12` : `32,115,266`	0.665	0.335	0.000
rs148883465 lBF = `4.7225` Chr`11` : `103,684,099`	0.663	0.337	0.000
rs80126971 lBF = `18.1379` Chr`7` : `36,697,785`	0.662	0.338	0.000
rs141752671 lBF = `4.05608` Chr`11` : `103,616,565`	0.662	0.338	0.000
rs10484621 lBF = `16.1593` Chr`6` : `62,686,818`	0.662	0.338	0.000
rs115394689 lBF = `13.8594` Chr`1` : `245,542,829`	0.662	0.338	0.000
rs1387718 lBF = `16.5681` Chr`13` : `64,444,995`	0.661	0.339	0.000
rs187700680 lBF = `24.0087` Chr`8` : `15,377,498`	0.660	0.340	0.000
rs35587409 lBF = `12.2827` Chr`12` : `100,841,306`	0.659	0.341	0.000
rs191780267 lBF = `4.50227` Chr`12` : `89,289,255`	0.659	0.341	0.000
rs16889916 lBF = `20.7757` Chr`6` : `24,989,384`	0.659	0.341	0.000
rs11652121 lBF = `15.4813` Chr`17` : `28,532,332`	0.658	0.342	0.000
rs115511239 lBF = `13.3518` Chr`2` : `220,981,981`	0.658	0.342	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.657	0.343	0.000
rs75024436 lBF = `14.4606` Chr`3` : `50,046,446`	0.657	0.343	0.000
rs479798 lBF = `14.5952` Chr`8` : `29,112,073`	0.657	0.343	0.000
rs145561395 lBF = `10.9095` Chr`14` : `103,199,388`	0.657	0.343	0.000
rs72875818 lBF = `15.9254` Chr`6` : `62,043,183`	0.657	0.343	0.000
rs7086803 lBF = `2.66982` Chr`10` : `114,498,476`	0.656	0.344	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.655	0.345	0.000
rs72879350 lBF = `14.0343` Chr`6` : `58,001,218`	0.654	0.345	0.000
rs116428066 lBF = `13.3167` Chr`6` : `9,983,924`	0.654	0.346	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.653	0.347	0.000
rs114615367 lBF = `16.7487` Chr`5` : `85,231,262`	0.653	0.347	0.000
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rs73366442 lBF = `12.0256` Chr`7` : `73,989,491`	0.587	0.413	0.000
rs74651669 lBF = `14.1557` Chr`15` : `87,206,617`	0.586	0.414	0.000
rs111583008 lBF = `14.8938` Chr`20` : `5,951,050`	0.586	0.414	0.000
rs17004598 lBF = `2.6091` Chr`21` : `45,078,556`	0.585	0.414	0.000
rs114137957 lBF = `4.49603` Chr`7` : `87,374,869`	0.585	0.414	0.000
rs78501510 lBF = `12.4829` Chr`6` : `10,834,641`	0.585	0.414	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.585	0.415	0.000
rs72705699 lBF = `11.092` Chr`1` : `168,820,294`	0.585	0.415	0.000
rs6119285 lBF = `3.59829` Chr`20` : `31,376,995`	0.585	0.415	0.000
rs75038438 lBF = `18.8448` Chr`14` : `60,996,166`	0.585	0.415	0.000
rs116907527 lBF = `12.5204` Chr`7` : `2,642,223`	0.584	0.416	0.000
rs72744984 lBF = `24.9026` Chr`1` : `197,887,266`	0.584	0.416	0.000
rs116940284 lBF = `11.3342` Chr`11` : `63,333,643`	0.584	0.416	0.000
rs73250776 lBF = `15.8949` Chr`4` : `23,408,210`	0.584	0.416	0.000
rs4877801 lBF = `12.8244` Chr`9` : `86,337,432`	0.584	0.416	0.000
rs111899708 lBF = `3.65736` Chr`2` : `156,051,135`	0.583	0.417	0.000
rs28392903 lBF = `14.0654` Chr`15` : `26,106,644`	0.583	0.417	0.000
rs79358413 lBF = `15.0607` Chr`1` : `31,519,638`	0.582	0.418	0.000
rs117891146 lBF = `16.7401` Chr`17` : `77,212,307`	0.582	0.418	0.000
rs17513625 lBF = `13.3739` Chr`4` : `111,848,270`	0.582	0.418	0.000
rs116049161 lBF = `16.3808` Chr`1` : `59,017,337`	0.581	0.419	0.000
rs151271410 lBF = `11.5726` Chr`4` : `22,318,165`	0.581	0.419	0.000
rs17817451 lBF = `13.456` Chr`2` : `180,440,953`	0.581	0.419	0.000
Affx-4319464 lBF = `12.3919` Chr`11` : `119,229,758`	0.581	0.419	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.580	0.419	0.000
rs182503338 lBF = `4.85679` Chr`6` : `34,582,274`	0.579	0.421	0.000
rs9832761 lBF = `14.5966` Chr`3` : `4,431,283`	0.579	0.421	0.000
rs116570129 lBF = `18.625` Chr`1` : `171,808,179`	0.579	0.421	0.000
rs114956680 lBF = `15.956` Chr`4` : `55,817,709`	0.579	0.421	0.000
rs11758945 lBF = `6.63016` Chr`6` : `19,883,664`	0.579	0.421	0.000
rs138440701 lBF = `15.2454` Chr`2` : `113,783,743`	0.578	0.422	0.000
rs4149433 lBF = `9.85629` Chr`2` : `108,997,262`	0.578	0.422	0.000
rs117383610 lBF = `13.7665` Chr`11` : `50,068,866`	0.578	0.422	0.000
rs114524857 lBF = `20.7751` Chr`6` : `30,888,377`	0.578	0.422	0.000
rs75411983 lBF = `7.67071` Chr`3` : `110,149,585`	0.577	0.422	0.000
rs2965324 lBF = `13.1575` Chr`15` : `48,274,460`	0.577	0.423	0.000
rs1326862 lBF = `13.0902` Chr`20` : `52,198,967`	0.577	0.423	0.000
rs113153761 lBF = `6.16497` Chr`2` : `127,727,764`	0.577	0.423	0.000
rs62231188 lBF = `17.7829` Chr`22` : `24,984,215`	0.577	0.423	0.000
rs118177694 lBF = `9.087` Chr`11` : `41,829,733`	0.577	0.423	0.000
rs116332762 lBF = `17.3941` Chr`2` : `108,184,621`	0.577	0.423	0.000
rs1968498 lBF = `9.0386` Chr`9` : `86,696,174`	0.576	0.423	0.000
rs67405884 lBF = `19.8101` Chr`19` : `50,229,382`	0.576	0.424	0.000
rs34218224 lBF = `7.72324` Chr`2` : `86,329,987`	0.576	0.424	0.000
rs6047213 lBF = `9.2869` Chr`20` : `21,012,445`	0.576	0.424	0.000
rs17719860 lBF = `5.58804` Chr`9` : `78,644,071`	0.576	0.424	0.000
rs13266556 lBF = `7.6967` Chr`8` : `85,657,036`	0.576	0.424	0.000
rs72988842 lBF = `15.8412` Chr`11` : `98,345,840`	0.576	0.424	0.000
rs75547958 lBF = `15.2886` Chr`5` : `117,336,292`	0.575	0.425	0.000
rs17394246 lBF = `22.6201` Chr`13` : `25,208,811`	0.574	0.426	0.000
rs6467710 lBF = `5.41598` Chr`7` : `137,203,819`	0.574	0.426	0.000
rs9391714 lBF = `31.1904` Chr`6` : `31,245,080`	0.573	0.426	0.000
rs9357121 lBF = `31.2249` Chr`6` : `31,240,479`	0.573	0.427	0.000
rs1314913 lBF = `2.73209` Chr`14` : `68,699,594`	0.573	0.427	0.000
rs4419219 lBF = `12.9818` Chr`2` : `207,296,780`	0.573	0.427	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.572	0.428	0.000
rs114897391 lBF = `14.311` Chr`15` : `96,065,019`	0.572	0.428	0.000
rs73086940 lBF = `15.2945` Chr`20` : `10,871,255`	0.571	0.429	0.000
rs7298767 lBF = `17.6072` Chr`12` : `22,475,701`	0.570	0.430	0.000
rs146733600 lBF = `68.4232` Chr`6` : `32,573,760`	0.569	0.431	0.000
rs72680133 lBF = `12.3294` Chr`4` : `112,625,942`	0.569	0.431	0.000
rs114496068 lBF = `15.6666` Chr`6` : `49,705,603`	0.569	0.431	0.000
rs188564008 lBF = `4.11444` Chr`4` : `62,179,296`	0.569	0.431	0.000
rs117642191 lBF = `17.4376` Chr`11` : `91,793,577`	0.569	0.431	0.000
rs72725317 lBF = `24.9449` Chr`1` : `102,996,034`	0.568	0.431	0.000
rs76001134 lBF = `19.3411` Chr`12` : `23,209,903`	0.568	0.432	0.000
rs77556290 lBF = `6.95852` Chr`4` : `105,880,750`	0.568	0.432	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.568	0.432	0.000
rs2854102 lBF = `12.1831` Chr`1` : `19,969,611`	0.567	0.433	0.000
rs72881062 lBF = `15.7439` Chr`6` : `56,801,308`	0.567	0.433	0.000
rs73155884 lBF = `15.0763` Chr`3` : `162,109,264`	0.567	0.433	0.000
rs116561927 lBF = `21.8507` Chr`2` : `221,679,348`	0.566	0.434	0.000
rs114495629 lBF = `14.5035` Chr`1` : `245,701,098`	0.566	0.434	0.000
rs77800959 lBF = `11.6926` Chr`20` : `51,357,796`	0.566	0.434	0.000
rs2689090 lBF = `13.8559` Chr`6` : `34,979,317`	0.566	0.434	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.566	0.434	0.000
rs115326449 lBF = `19.0223` Chr`6` : `63,544,853`	0.565	0.435	0.000
rs76027185 lBF = `15.5405` Chr`3` : `65,669,218`	0.565	0.435	0.000
rs76984655 lBF = `7.79218` Chr`14` : `51,045,350`	0.565	0.435	0.000
rs75289085 lBF = `19.4964` Chr`12` : `18,147,653`	0.564	0.435	0.000
rs75655068 lBF = `13.5772` Chr`7` : `92,658,364`	0.564	0.436	0.000
rs80106349 lBF = `14.628` Chr`1` : `72,608,658`	0.563	0.437	0.000
rs73079954 lBF = `16.4887` Chr`7` : `24,746,536`	0.563	0.437	0.000
rs113984483 lBF = `13.9687` Chr`2` : `35,302,577`	0.563	0.437	0.000
rs7835454 lBF = `2.03289` Chr`8` : `40,034,434`	0.563	0.437	0.000
rs4921542 lBF = `5.71395` Chr`8` : `17,205,577`	0.563	0.437	0.000
rs72687965 lBF = `17.5275` Chr`1` : `114,073,152`	0.562	0.438	0.000
rs75063504 lBF = `15.8981` Chr`4` : `61,731,645`	0.562	0.438	0.000
rs16966085 lBF = `5.66056` Chr`13` : `105,835,170`	0.561	0.439	0.000
rs116009799 lBF = `21.8061` Chr`6` : `30,806,893`	0.561	0.439	0.000
rs35292876 lBF = `4.20174` Chr`1` : `196,706,642`	0.561	0.439	0.000
rs111863112 lBF = `18.891` Chr`3` : `46,449,863`	0.561	0.439	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.561	0.439	0.000
rs79204427 lBF = `15.0146` Chr`18` : `47,693,130`	0.560	0.439	0.000
rs115706318 lBF = `11.1749` Chr`2` : `97,143,761`	0.560	0.440	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 X0036

log Bayes Factor = 43.2308

contains 4 variants

0.3117

Cluster X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2781

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.9928

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.9843

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.9760

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.9750

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9731

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9556

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.9536

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9519

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.9515

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9496

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.9228

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9144

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9117

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9004

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.8979

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.8949

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.8940

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.8918

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8808

Cluster X0061

log Bayes Factor = 293.105

contains 15 variants

0.8754

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.8711

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.8649

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8627

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8611

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.8574

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8513

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.8487

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8477

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.8408

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8404

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.8375

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8366

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8271

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.8216

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.8176

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.7997

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7973

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.7801

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.7780

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.7723

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.7720

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.7714

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7687

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7682

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7671

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.7641

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.7591

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.7519

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7488

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7484

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7482

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.7413

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7392

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7376

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.7274

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.7232

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.7226

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7202

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.7134

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7076

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7056

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.6961

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.6946

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.6946

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.6946

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.6872

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.6803

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.6740

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6682

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.6681

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.6666

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.6505

Cluster X0076

log Bayes Factor = 310.928

contains 15 variants

0.6367

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.6331

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.6317

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.6157

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.6101

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.6029

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.5926

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.5915

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.5822

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.5816

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.5780

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.5719

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.5618

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5584

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.5549

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.5468

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.5455

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.5362

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.5264

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.5243

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.5097

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.5095

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.5081

Cluster X0048

log Bayes Factor = 358.819

contains 19 variants

0.4956

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.4913

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.4878

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.4803

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4715

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4710

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.4618

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.4597

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.4453

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.4402

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.4151

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3932

Cluster X0162

log Bayes Factor = 144.479

contains 9 variants

0.3872

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.3861

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.3860

Cluster X0001

log Bayes Factor = 167.541

contains 7 variants

0.3676

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.3660

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.3507

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.3493

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.3369

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.2999

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.2988

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.2882

Cluster X0204

log Bayes Factor = 169.796

contains 8 variants

0.2461

Cluster X0195

log Bayes Factor = 167.337

contains 13 variants

0.2459

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2354

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.2313

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.2186

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.2066

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.2061

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.2054

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1889

Cluster X0218

log Bayes Factor = 425.579

contains 18 variants

0.1831

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.1794

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.1790

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.1633

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.1571

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1501

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1297

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.1245

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1177

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.1036

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.1033

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1030

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0978

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0968

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.0840

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.0831

Cluster X0327

log Bayes Factor = 118.248

contains 3 variants

0.0808

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0767

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.0687

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.0651

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0586

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.0565

Cluster X0169

log Bayes Factor = 331.98

contains 16 variants

0.0503

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`)