TreeWAS – [K44.1] Diaphragmatic hernia with gangrene

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
rs117926975 lBF = `4.43495` Chr`9` : `97,358,141`	0.712	0.288	0.000
rs78296588 lBF = `15.8425` Chr`9` : `102,305,131`	0.704	0.295	0.000
rs12336160 lBF = `0.996007` Chr`9` : `33,283,582`	0.483	0.517	0.000
rs118181102 lBF = `15.8033` Chr`9` : `87,302,491`	0.480	0.520	0.000
rs74759033 lBF = `10.8675` Chr`9` : `127,676,918`	0.444	0.556	0.000
rs73387635 lBF = `15.4845` Chr`9` : `1,814,698`	0.425	0.575	0.000
rs11789912 lBF = `15.8406` Chr`9` : `130,605,739`	0.365	0.635	0.000
rs17244432 lBF = `15.3075` Chr`9` : `139,801,662`	0.325	0.674	0.000
rs116929209 lBF = `23.964` Chr`9` : `13,692,166`	0.319	0.681	0.000
rs76260868 lBF = `20.5517` Chr`9` : `80,422,239`	0.309	0.691	0.000
rs142944815 lBF = `2.59871` Chr`9` : `8,773,566`	0.295	0.704	0.000
rs10983554 lBF = `8.75815` Chr`9` : `119,918,601`	0.292	0.708	0.000
rs78119065 lBF = `14.991` Chr`9` : `1,833,972`	0.290	0.710	0.000
rs184522131 lBF = `1.69043` Chr`9` : `90,177,521`	0.289	0.710	0.000
rs1038195 lBF = `18.4342` Chr`9` : `137,855,660`	0.286	0.713	0.000
rs118036720 lBF = `22.9077` Chr`9` : `5,408,587`	0.286	0.714	0.000
rs75196982 lBF = `11.4824` Chr`9` : `38,110,302`	0.280	0.720	0.000
rs76909134 lBF = `18.6929` Chr`9` : `138,798,380`	0.271	0.729	0.000
rs117120696 lBF = `20.1492` Chr`9` : `81,426,723`	0.266	0.734	0.000
rs78199931 lBF = `17.2832` Chr`9` : `140,865,334`	0.257	0.743	0.000
rs111958418 lBF = `20.8287` Chr`9` : `22,219,565`	0.247	0.753	0.000
rs77418183 lBF = `12.5886` Chr`9` : `21,929,486`	0.223	0.776	0.000
rs62571477 lBF = `27.2395` Chr`9` : `137,865,056`	0.220	0.779	0.000
rs118011544 lBF = `16.5306` Chr`9` : `137,236,911`	0.203	0.797	0.000
rs77005723 lBF = `23.0241` Chr`9` : `131,211,201`	0.199	0.801	0.000
rs75622023 lBF = `16.1719` Chr`9` : `28,607,634`	0.194	0.806	0.000
rs75585141 lBF = `14.4069` Chr`9` : `13,387,483`	0.186	0.814	0.000
rs60250264 lBF = `1.93414` Chr`9` : `8,897,187`	0.180	0.820	0.000
rs1360809 lBF = `18.9852` Chr`9` : `121,399,229`	0.177	0.823	0.000
rs10114038 lBF = `1.31177` Chr`9` : `127,327,763`	0.175	0.825	0.000
rs7865516 lBF = `23.7461` Chr`9` : `16,113,134`	0.164	0.836	0.000
rs930522 lBF = `11.1344` Chr`9` : `11,613,940`	0.160	0.840	0.000
rs17408309 lBF = `14.2638` Chr`9` : `71,632,265`	0.158	0.842	0.000
rs2150702 lBF = `0.399886` Chr`9` : `5,893,861`	0.154	0.846	0.000
rs117499721 lBF = `28.8784` Chr`9` : `116,579,948`	0.149	0.851	0.000
rs76605533 lBF = `18.0219` Chr`9` : `100,624,553`	0.147	0.853	0.000
rs117754409 lBF = `15.5268` Chr`9` : `13,934,924`	0.147	0.853	0.000
rs56281909 lBF = `11.3432` Chr`9` : `4,418,821`	0.143	0.857	0.000
rs76153552 lBF = `18.1323` Chr`9` : `95,913,866`	0.135	0.864	0.000
rs75087119 lBF = `17.2273` Chr`9` : `7,426,671`	0.133	0.867	0.000
rs78925264 lBF = `0.599859` Chr`9` : `9,015,087`	0.133	0.867	0.000
rs77322120 lBF = `13.2546` Chr`9` : `101,171,443`	0.128	0.871	0.000
rs10491777 lBF = `15.847` Chr`9` : `14,352,001`	0.128	0.872	0.000
rs147338646 lBF = `5.39391` Chr`9` : `11,812,813`	0.119	0.881	0.000
rs56190763 lBF = `13.9754` Chr`9` : `91,343,917`	0.117	0.883	0.000
rs118156051 lBF = `16.9077` Chr`9` : `103,381,388`	0.115	0.885	0.000
rs10758732 lBF = `11.2727` Chr`9` : `5,991,772`	0.114	0.886	0.000
rs55856550 lBF = `15.678` Chr`9` : `22,364,370`	0.113	0.886	0.000
rs117362775 lBF = `13.8721` Chr`9` : `112,587,101`	0.110	0.890	0.000
rs75125430 lBF = `16.6037` Chr`9` : `24,472,623`	0.106	0.894	0.000
rs76733568 lBF = `27.8026` Chr`9` : `24,659,540`	0.104	0.895	0.000
rs78912274 lBF = `19.3426` Chr`9` : `11,274,294`	0.102	0.897	0.000
rs12686544 lBF = `13.3753` Chr`9` : `105,868,318`	0.102	0.897	0.000
rs11789015 lBF = `0.101262` Chr`9` : `96,716,028`	0.000	0.900	0.100
rs72687969 lBF = `5.70085` Chr`9` : `4,104,403`	0.099	0.901	0.000
rs185095244 lBF = `0.251196` Chr`9` : `8,766,114`	0.097	0.902	0.001
rs76718115 lBF = `14.4603` Chr`9` : `112,413,997`	0.097	0.902	0.000
rs41314453 lBF = `10.1695` Chr`9` : `136,307,825`	0.096	0.904	0.000
rs1333005 lBF = `17.474` Chr`9` : `130,042,369`	0.096	0.904	0.000
rs77048935 lBF = `15.1563` Chr`9` : `114,316,981`	0.095	0.905	0.000
rs62531470 lBF = `1.6886` Chr`9` : `540,319`	0.093	0.907	0.000
rs116995584 lBF = `15.4671` Chr`9` : `76,040,600`	0.093	0.907	0.000
rs17857515 lBF = `18.2473` Chr`9` : `32,542,278`	0.093	0.907	0.000
rs7027203 lBF = `0.10647` Chr`9` : `96,562,563`	0.089	0.911	0.000
rs58680346 lBF = `5.13866` Chr`9` : `7,604,965`	0.088	0.911	0.000
rs144087410 lBF = `1.81966` Chr`9` : `5,185,581`	0.088	0.911	0.000
rs41280725 lBF = `19.7128` Chr`9` : `5,469,654`	0.088	0.912	0.000
rs117869101 lBF = `21.0144` Chr`9` : `84,429,893`	0.085	0.915	0.000
rs55760117 lBF = `18.9306` Chr`9` : `129,740,272`	0.084	0.916	0.000
rs11539570 lBF = `10.2471` Chr`9` : `131,084,628`	0.082	0.918	0.000
rs79531373 lBF = `9.31927` Chr`9` : `137,906,597`	0.081	0.919	0.000
rs913351 lBF = `10.5594` Chr`9` : `130,033,547`	0.078	0.922	0.000
rs117217495 lBF = `16.3591` Chr`9` : `24,538,142`	0.077	0.923	0.000
rs116961907 lBF = `20.2002` Chr`9` : `28,511,184`	0.075	0.925	0.000
rs7045620 lBF = `14.6764` Chr`9` : `137,836,809`	0.072	0.928	0.000
rs78617806 lBF = `13.7235` Chr`9` : `109,377,753`	0.071	0.928	0.000
rs80321149 lBF = `13.0616` Chr`9` : `16,150,000`	0.071	0.929	0.000
rs10283576 lBF = `19.8492` Chr`9` : `88,106,667`	0.069	0.931	0.000
rs117233030 lBF = `16.6065` Chr`9` : `14,348,774`	0.068	0.932	0.000
rs16925898 lBF = `18.5128` Chr`9` : `10,372,027`	0.065	0.935	0.000
rs35303200 lBF = `18.3789` Chr`9` : `82,740,305`	0.064	0.936	0.000
rs1907805 lBF = `7.59783` Chr`9` : `94,451,965`	0.061	0.938	0.000
rs117196480 lBF = `16.5445` Chr`9` : `101,301,307`	0.061	0.939	0.000
rs72745135 lBF = `15.0573` Chr`9` : `78,973,431`	0.058	0.942	0.000
rs72746681 lBF = `16.7306` Chr`9` : `88,643,632`	0.057	0.943	0.000
rs16925263 lBF = `17.4118` Chr`9` : `7,060,997`	0.053	0.947	0.000
rs4979462 lBF = `0.196688` Chr`9` : `117,567,013`	0.045	0.954	0.001
rs78608331 lBF = `12.388` Chr`9` : `13,257,251`	0.045	0.955	0.000
rs1175605 lBF = `18.1644` Chr`9` : `95,233,248`	0.044	0.955	0.000
rs73644982 lBF = `13.9807` Chr`9` : `32,523,117`	0.041	0.958	0.000
rs80001694 lBF = `12.7976` Chr`9` : `120,105,508`	0.041	0.959	0.000
rs7021724 lBF = `11.9942` Chr`9` : `2,527,900`	0.040	0.960	0.000
rs117571560 lBF = `14.6503` Chr`9` : `76,169,871`	0.040	0.960	0.000
rs77528658 lBF = `12.135` Chr`9` : `104,204,920`	0.038	0.962	0.000
rs117488235 lBF = `19.2182` Chr`9` : `15,707,430`	0.037	0.962	0.000
rs16928280 lBF = `6.01786` Chr`9` : `8,695,233`	0.033	0.966	0.000
rs56343119 lBF = `60.1445` Chr`9` : `136,237,672`	0.033	0.967	0.000
rs78755596 lBF = `34.803` Chr`9` : `136,124,590`	0.031	0.968	0.000
rs72756269 lBF = `20.6952` Chr`9` : `119,147,710`	0.026	0.970	0.004
rs116919233 lBF = `14.0946` Chr`9` : `119,991,655`	0.030	0.970	0.000
rs12000567 lBF = `4.07403` Chr`9` : `789,499`	0.026	0.974	0.000
rs7045640 lBF = `0.303315` Chr`9` : `2,978,377`	0.026	0.974	0.000
rs117260909 lBF = `0.304807` Chr`9` : `3,195,775`	0.025	0.975	0.000
rs76662872 lBF = `8.28126` Chr`9` : `78,995,731`	0.025	0.975	0.000
rs2398893 lBF = `-0.0522915` Chr`9` : `96,758,342`	0.000	0.976	0.024
rs1071265 lBF = `7.85233` Chr`9` : `33,736,196`	0.024	0.976	0.000
rs10973964 lBF = `14.244` Chr`9` : `38,669,362`	0.023	0.977	0.000
rs12342947 lBF = `20.0509` Chr`9` : `7,026,860`	0.022	0.977	0.000
rs10968749 lBF = `6.84227` Chr`9` : `28,752,484`	0.022	0.978	0.000
rs77437704 lBF = `13.6847` Chr`9` : `79,623,352`	0.021	0.979	0.000
rs74862371 lBF = `16.8875` Chr`9` : `7,028,832`	0.018	0.982	0.000
rs117593677 lBF = `14.7112` Chr`9` : `21,318,205`	0.017	0.983	0.000
rs72748988 lBF = `19.0653` Chr`9` : `92,041,530`	0.016	0.984	0.000
rs34390775 lBF = `10.8706` Chr`9` : `140,702,339`	0.015	0.985	0.000
rs113607577 lBF = `0.0172672` Chr`9` : `77,455,459`	0.013	0.986	0.000
rs74729480 lBF = `14.6486` Chr`9` : `137,375,254`	0.013	0.986	0.000
rs16925298 lBF = `10.4186` Chr`9` : `7,081,674`	0.013	0.987	0.000
rs17241164 lBF = `0.0322381` Chr`9` : `9,857,448`	0.013	0.987	0.000
rs10962088 lBF = `6.0293` Chr`9` : `15,591,699`	0.012	0.988	0.000
rs79460104 lBF = `15.2248` Chr`9` : `79,610,628`	0.012	0.988	0.000
rs138633335 lBF = `19.1105` Chr`9` : `137,459,325`	0.011	0.989	0.000
rs11144781 lBF = `0.229588` Chr`9` : `78,793,421`	0.011	0.989	0.000
rs114356520 lBF = `0.0111969` Chr`9` : `112,128,998`	0.011	0.989	0.000
rs1417290 lBF = `17.5513` Chr`9` : `7,046,917`	0.010	0.989	0.000
rs7851726 lBF = `0.703435` Chr`9` : `97,503,985`	0.010	0.990	0.000
rs78284770 lBF = `17.3311` Chr`9` : `91,652,587`	0.009	0.991	0.000
rs11506819 lBF = `12.1203` Chr`9` : `108,129,480`	0.008	0.992	0.000
rs77427150 lBF = `13.5234` Chr`9` : `101,239,130`	0.008	0.992	0.000
rs77745943 lBF = `12.1624` Chr`9` : `99,034,907`	0.008	0.992	0.000
rs77911647 lBF = `25.709` Chr`9` : `37,580,543`	0.008	0.992	0.000
rs635634 lBF = `144.118` Chr`9` : `136,155,000`	0.001	0.993	0.006
rs111873027 lBF = `0.00829232` Chr`9` : `126,953,640`	0.007	0.993	0.000
rs1329568 lBF = `0.024609` Chr`9` : `37,037,976`	0.000	0.993	0.007
rs72758841 lBF = `0.00678835` Chr`9` : `131,475,583`	0.006	0.993	0.000
rs7871607 lBF = `24.204` Chr`9` : `85,546,352`	0.002	0.994	0.005
rs817858 lBF = `4.65645` Chr`9` : `110,125,811`	0.006	0.994	0.000
rs4576506 lBF = `-0.0228237` Chr`9` : `31,546,472`	0.000	0.994	0.006
rs62574559 lBF = `13.3756` Chr`9` : `96,366,133`	0.005	0.994	0.000
rs186821245 lBF = `0.265221` Chr`9` : `136,606,035`	0.005	0.995	0.000
rs507666 lBF = `152.361` Chr`9` : `136,149,399`	0.004	0.995	0.000
rs56065549 lBF = `11.9825` Chr`9` : `95,906,364`	0.004	0.996	0.000
rs579459 lBF = `134.609` Chr`9` : `136,154,168`	0.004	0.996	0.000
rs58950125 lBF = `19.7195` Chr`9` : `10,382,986`	0.004	0.996	0.000
rs447578 lBF = `-0.023863` Chr`9` : `10,054,522`	0.004	0.996	0.000
rs649129 lBF = `134.134` Chr`9` : `136,154,304`	0.004	0.996	0.000
rs75864858 lBF = `12.2329` Chr`9` : `20,141,558`	0.004	0.996	0.000
rs74776058 lBF = `16.3733` Chr`9` : `30,014,333`	0.003	0.996	0.000
rs117863381 lBF = `15.4135` Chr`9` : `82,517,509`	0.003	0.996	0.000
rs150484890 lBF = `2.77875` Chr`9` : `6,643,981`	0.003	0.997	0.000
rs2381413 lBF = `12.4574` Chr`9` : `6,167,017`	0.003	0.997	0.000
rs10815355 lBF = `0.00477494` Chr`9` : `622,523`	0.003	0.997	0.000
rs72752974 lBF = `6.14767` Chr`9` : `92,516,854`	0.003	0.997	0.000
rs73556638 lBF = `15.5477` Chr`9` : `139,034,164`	0.002	0.997	0.001
rs80234524 lBF = `8.67109` Chr`9` : `102,716,279`	0.003	0.997	0.000
rs78593318 lBF = `12.9921` Chr`9` : `2,491,638`	0.003	0.997	0.000
rs17433526 lBF = `9.94738` Chr`9` : `131,912,341`	0.003	0.997	0.000
rs16909898 lBF = `0.147538` Chr`9` : `98,231,008`	0.000	0.997	0.003
rs78269264 lBF = `5.9998` Chr`9` : `2,064,351`	0.003	0.997	0.000
rs78791620 lBF = `9.49824` Chr`9` : `2,523,805`	0.003	0.997	0.000
rs75445152 lBF = `16.2649` Chr`9` : `104,310,061`	0.003	0.997	0.000
rs139863644 lBF = `0.00339663` Chr`9` : `5,972,759`	0.003	0.997	0.000
rs651007 lBF = `136.79` Chr`9` : `136,153,875`	0.003	0.997	0.000
rs34634894 lBF = `20.2004` Chr`9` : `82,652,022`	0.002	0.997	0.000
rs10961534 lBF = `0.0604802` Chr`9` : `14,470,833`	0.002	0.997	0.000
rs114646018 lBF = `0.00725446` Chr`9` : `18,890,061`	0.002	0.997	0.000
rs7869969 lBF = `0.510803` Chr`9` : `96,217,447`	0.000	0.998	0.002
rs7864133 lBF = `0.00190717` Chr`9` : `84,053,686`	0.002	0.998	0.000
rs495828 lBF = `133.813` Chr`9` : `136,154,867`	0.002	0.998	0.000
rs74304768 lBF = `17.1946` Chr`9` : `79,606,878`	0.002	0.998	0.000
rs12350534 lBF = `-0.0110918` Chr`9` : `89,558,064`	0.002	0.998	0.000
rs7028529 lBF = `5.37797` Chr`9` : `79,228,042`	0.002	0.998	0.000
rs111571219 lBF = `14.5965` Chr`9` : `102,420,794`	0.002	0.998	0.000
rs10813374 lBF = `0.0431441` Chr`9` : `30,879,675`	0.002	0.998	0.000
rs117759827 lBF = `8.85751` Chr`9` : `34,400,980`	0.002	0.998	0.000
rs79791727 lBF = `11.6893` Chr`9` : `36,801,459`	0.002	0.998	0.000
rs117415762 lBF = `13.5576` Chr`9` : `77,698,356`	0.001	0.998	0.001
rs10821136 lBF = `0.434416` Chr`9` : `96,238,731`	0.000	0.998	0.002
rs291272 lBF = `0.0890106` Chr`9` : `10,043,014`	0.002	0.998	0.000
rs12001137 lBF = `-0.00100269` Chr`9` : `11,964,872`	0.000	0.998	0.002
rs8176741 lBF = `13.4069` Chr`9` : `136,131,461`	0.000	0.998	0.002
rs80124314 lBF = `6.72987` Chr`9` : `30,283,216`	0.002	0.998	0.000
rs117540688 lBF = `12.0488` Chr`9` : `6,064,428`	0.002	0.998	0.000
rs74308953 lBF = `0.00117694` Chr`9` : `121,431,189`	0.001	0.998	0.000
rs79299247 lBF = `13.7264` Chr`9` : `82,970,155`	0.001	0.998	0.000
rs117932393 lBF = `0.0156868` Chr`9` : `109,152,709`	0.002	0.998	0.000
rs74521173 lBF = `5.66609` Chr`9` : `28,604,008`	0.001	0.998	0.000
rs2378383 lBF = `0.163868` Chr`9` : `82,039,362`	0.001	0.998	0.000
rs11138290 lBF = `0.243198` Chr`9` : `82,163,313`	0.001	0.999	0.000
rs182700414 lBF = `0.00117781` Chr`9` : `121,971,770`	0.001	0.999	0.000
rs11138220 lBF = `0.0232714` Chr`9` : `82,060,528`	0.001	0.999	0.000
rs7021404 lBF = `0.00087256` Chr`9` : `25,414,051`	0.001	0.999	0.000
rs61732491 lBF = `0.00003` Chr`9` : `131,186,783`	0.001	0.999	0.000
rs12000457 lBF = `0.0170966` Chr`9` : `86,944,425`	0.001	0.999	0.001
rs13301469 lBF = `0.0342446` Chr`9` : `3,911,353`	0.001	0.999	0.000
rs145699582 lBF = `0.00035679` Chr`9` : `5,169,600`	0.001	0.999	0.000
rs76780579 lBF = `0.00258463` Chr`9` : `16,414,506`	0.001	0.999	0.000
rs75056204 lBF = `8.7084` Chr`9` : `76,174,850`	0.001	0.999	0.000
rs10821415 lBF = `0.997759` Chr`9` : `97,713,459`	0.000	0.999	0.001
rs12338076 lBF = `0.00017178` Chr`9` : `139,121,740`	0.001	0.999	0.000
rs78757963 lBF = `12.3274` Chr`9` : `6,282,511`	0.001	0.999	0.000
rs76495380 lBF = `0.0004597` Chr`9` : `20,844,431`	0.001	0.999	0.000
rs114771314 lBF = `0.0004006` Chr`9` : `12,805,030`	0.001	0.999	0.000
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rs4448343 lBF = `0.0341325` Chr`9` : `98,266,370`	0.000	1.000	0.000
rs17059531 lBF = `0.00904484` Chr`9` : `76,492,427`	0.000	1.000	0.000
rs10818854 lBF = `0.00070567` Chr`9` : `126,446,778`	0.000	1.000	0.000
rs1536076 lBF = `-0.0229482` Chr`9` : `17,731,921`	0.000	1.000	0.000
rs13300483 lBF = `-0.0304824` Chr`9` : `117,643,362`	0.000	1.000	0.000
rs12352894 lBF = `-0.0786911` Chr`9` : `38,197,384`	0.000	1.000	0.000
rs10781182 lBF = `-0.0797706` Chr`9` : `76,617,720`	0.000	1.000	0.000
rs41302673 lBF = `38.6908` Chr`9` : `136,270,538`	0.000	1.000	0.000
rs72652478 lBF = `14.3802` Chr`9` : `22,102,043`	0.000	1.000	0.000
rs540885 lBF = `12.7552` Chr`9` : `15,294,596`	0.000	1.000	0.000
rs3842979 lBF = `3.15581` Chr`9` : `28,359,979`	0.000	1.000	0.000
rs865686 lBF = `3.12841` Chr`9` : `110,888,478`	0.000	1.000	0.000
rs7852296 lBF = `1.12641` Chr`9` : `126,352,218`	0.000	1.000	0.000
rs35775808 lBF = `0.734475` Chr`9` : `102,225,544`	0.000	1.000	0.000
rs13288988 lBF = `0.636504` Chr`9` : `11,114,858`	0.000	1.000	0.000
rs3138083 lBF = `0.535057` Chr`9` : `35,648,950`	0.000	1.000	0.000
rs8190560 lBF = `0.444887` Chr`9` : `99,002,185`	0.000	1.000	0.000
rs10780944 lBF = `0.313911` Chr`9` : `73,157,416`	0.000	1.000	0.000
rs62544595 lBF = `0.1588` Chr`9` : `27,135,718`	0.000	1.000	0.000
rs2025875 lBF = `0.0783149` Chr`9` : `112,596,911`	0.000	1.000	0.000
rs10975519 lBF = `0.0449991` Chr`9` : `6,253,571`	0.000	1.000	0.000
rs514024 lBF = `0.0337033` Chr`9` : `130,504,070`	0.000	1.000	0.000
rs1998584 lBF = `0.0267225` Chr`9` : `13,704,539`	0.000	1.000	0.000
rs115613582 lBF = `0.00708643` Chr`9` : `5,482,489`	0.000	1.000	0.000
rs140993796 lBF = `-0.00512351` Chr`9` : `111,536,356`	0.000	1.000	0.000
rs59677118 lBF = `-0.0120804` Chr`9` : `14,441,677`	0.000	1.000	0.000
rs11144550 lBF = `-0.0174333` Chr`9` : `78,261,548`	0.000	1.000	0.000
rs7045881 lBF = `-0.026197` Chr`9` : `26,935,996`	0.000	1.000	0.000
rs4149263 lBF = `-0.0331005` Chr`9` : `107,677,289`	0.000	1.000	0.000
rs861189 lBF = `-0.0358512` Chr`9` : `22,185,252`	0.000	1.000	0.000
rs16933006 lBF = `-0.0394332` Chr`9` : `15,335,914`	0.000	1.000	0.000
rs58761416 lBF = `-0.0612454` Chr`9` : `89,372,068`	0.000	1.000	0.000
rs3904778 lBF = `-0.0629115` Chr`9` : `16,681,993`	0.000	1.000	0.000
rs4877280 lBF = `-0.0797779` Chr`9` : `87,186,405`	0.000	1.000	0.000
rs4879677 lBF = `-0.0852877` Chr`9` : `27,664,432`	0.000	1.000	0.000
rs1348386 lBF = `41.6856` Chr`9` : `100,612,807`	0.000	1.000	0.000
rs643531 lBF = `11.8826` Chr`9` : `15,296,034`	0.000	1.000	0.000
rs512770 lBF = `8.25329` Chr`9` : `136,133,506`	0.000	1.000	0.000
rs62572751 lBF = `8.21836` Chr`9` : `83,080,862`	0.000	1.000	0.000
rs10984730 lBF = `5.19571` Chr`9` : `100,766,795`	0.000	1.000	0.000
rs11554257 lBF = `1.93799` Chr`9` : `117,605,070`	0.000	1.000	0.000
rs13292136 lBF = `0.235448` Chr`9` : `81,952,128`	0.000	1.000	0.000
rs12342373 lBF = `0.0855483` Chr`9` : `129,402,567`	0.000	1.000	0.000
rs1332366 lBF = `0.068304` Chr`9` : `77,832,575`	0.000	1.000	0.000
rs3802458 lBF = `0.0294039` Chr`9` : `97,741,274`	0.000	1.000	0.000
rs118043898 lBF = `0.0258933` Chr`9` : `24,431,792`	0.000	1.000	0.000
rs3802457 lBF = `0.0160534` Chr`9` : `97,741,336`	0.000	1.000	0.000
rs7861963 lBF = `-0.0038932` Chr`9` : `128,178,907`	0.000	1.000	0.000
rs2146180 lBF = `-0.00976102` Chr`9` : `8,045,606`	0.000	1.000	0.000
rs10980854 lBF = `-0.0365583` Chr`9` : `114,050,357`	0.000	1.000	0.000
rs10810865 lBF = `-0.0448681` Chr`9` : `17,895,105`	0.000	1.000	0.000
rs2777802 lBF = `-0.0467355` Chr`9` : `107,569,337`	0.000	1.000	0.000
rs11139399 lBF = `-0.0499139` Chr`9` : `84,372,741`	0.000	1.000	0.000
rs12551906 lBF = `-0.0806597` Chr`9` : `102,119,090`	0.000	1.000	0.000
rs9406636 lBF = `-0.119003` Chr`9` : `16,385,132`	0.000	1.000	0.000
rs907581 lBF = `41.3431` Chr`9` : `100,622,189`	0.000	1.000	0.000
rs340928 lBF = `9.63219` Chr`9` : `6,086,913`	0.000	1.000	0.000
rs41306063 lBF = `7.97243` Chr`9` : `6,415,643`	0.000	1.000	0.000
rs1757945 lBF = `6.0069` Chr`9` : `81,339,569`	0.000	1.000	0.000
rs2487032 lBF = `4.05395` Chr`9` : `107,703,934`	0.000	1.000	0.000
rs7870863 lBF = `1.63679` Chr`9` : `11,136,285`	0.000	1.000	0.000
rs5030717 lBF = `1.43687` Chr`9` : `120,473,834`	0.000	1.000	0.000
rs16933812 lBF = `0.422339` Chr`9` : `36,969,205`	0.000	1.000	0.000
rs2006996 lBF = `0.374558` Chr`9` : `117,592,638`	0.000	1.000	0.000
rs77922938 lBF = `0.314697` Chr`9` : `111,060,196`	0.000	1.000	0.000
rs10970305 lBF = `0.245937` Chr`9` : `31,372,583`	0.000	1.000	0.000
rs183433444 lBF = `0.144796` Chr`9` : `126,555,988`	0.000	1.000	0.000
rs2891316 lBF = `0.131552` Chr`9` : `28,587,994`	0.000	1.000	0.000
rs7031325 lBF = `0.0899183` Chr`9` : `6,655,056`	0.000	1.000	0.000
rs2081670 lBF = `0.0479057` Chr`9` : `92,887,231`	0.000	1.000	0.000
rs7856675 lBF = `0.0440273` Chr`9` : `4,555,305`	0.000	1.000	0.000
rs1929412 lBF = `0.0143466` Chr`9` : `11,951,222`	0.000	1.000	0.000
rs13300284 lBF = `0.0100083` Chr`9` : `25,452,812`	0.000	1.000	0.000
rs17481720 lBF = `0.0076358` Chr`9` : `131,889,294`	0.000	1.000	0.000
rs16925187 lBF = `0.00717` Chr`9` : `7,043,455`	0.000	1.000	0.000
rs16924631 lBF = `0.00615846` Chr`9` : `6,486,308`	0.000	1.000	0.000
rs2043144 lBF = `-0.00932687` Chr`9` : `73,950,955`	0.000	1.000	0.000
rs10758892 lBF = `-0.0103615` Chr`9` : `7,734,250`	0.000	1.000	0.000
rs10958998 lBF = `-0.0155727` Chr`9` : `10,275,798`	0.000	1.000	0.000
rs601162 lBF = `-0.026721` Chr`9` : `29,632,142`	0.000	1.000	0.000
rs35419961 lBF = `-0.031347` Chr`9` : `11,930,364`	0.000	1.000	0.000
rs72700966 lBF = `-0.0322007` Chr`9` : `10,505,224`	0.000	1.000	0.000
rs7867155 lBF = `-0.0449526` Chr`9` : `98,827,814`	0.000	1.000	0.000
rs7853287 lBF = `-0.0569396` Chr`9` : `117,549,327`	0.000	1.000	0.000
rs1806864 lBF = `-0.0599879` Chr`9` : `90,031,669`	0.000	1.000	0.000
rs2889829 lBF = `-0.06427` Chr`9` : `27,610,657`	0.000	1.000	0.000
rs4837628 lBF = `-0.0835807` Chr`9` : `122,059,709`	0.000	1.000	0.000
rs9792548 lBF = `-0.0997067` Chr`9` : `89,573,083`	0.000	1.000	0.000
rs4961511 lBF = `-0.106588` Chr`9` : `16,970,809`	0.000	1.000	0.000
rs1333048 lBF = `369.305` Chr`9` : `22,125,347`	0.000	1.000	0.000
rs10217586 lBF = `308.866` Chr`9` : `22,121,349`	0.000	1.000	0.000
rs612169 lBF = `158.629` Chr`9` : `136,143,442`	0.000	1.000	0.000
rs7045138 lBF = `50.4679` Chr`9` : `100,591,463`	0.000	1.000	0.000
rs62556547 lBF = `41.6654` Chr`9` : `22,019,156`	0.000	1.000	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 X0207

log Bayes Factor = 94.6548

contains 2 variants

0.5538

Cluster X0338

log Bayes Factor = 26.5485

contains 1 variants

0.0723

Cluster X0339

log Bayes Factor = 56.078

contains 2 variants

0.0557

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7168

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7168

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7166

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.7136

Cluster X0279

log Bayes Factor = 52.8832

contains 2 variants

0.7123

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7086

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.6363

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.6327

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.6254

Cluster X0255

log Bayes Factor = 40.0047

contains 3 variants

0.6112

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.5955

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.5910

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.5677

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.5556

Cluster X0206

log Bayes Factor = 56.4479

contains 3 variants

0.5397

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5273

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5225

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5133

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.5117

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5026

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.4938

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.4502

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.4308

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.4298

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.4256

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.4218

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.4176

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.4155

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.4151

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.4133

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.4106

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.4075

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.3979

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3878

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.3836

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.3703

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.3668

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.3603

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.3547

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3503

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3491

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.3246

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.3226

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.3225

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3214

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.3042

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3026

Cluster X0158

log Bayes Factor = 41.0301

contains 1 variants

0.3006

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.2984

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.2929

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.2847

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.2835

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.2793

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.2717

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.2523

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.2495

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.2459

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.2408

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.2351

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2290

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2193

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.2129

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.2127

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.1938

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1811

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.1769

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.1722

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.1703

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.1677

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.1664

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.1637

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.1624

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.1479

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.1449

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.1396

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.1385

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.1346

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1322

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.1317

Cluster X0123

log Bayes Factor = 382.779

contains 14 variants

0.1216

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.1195

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1130

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.1117

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.1086

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.1071

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.1070

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1067

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.1063

Cluster X0337

log Bayes Factor = 84.9395

contains 2 variants

0.1061

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.1041

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.1020

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.0989

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0983

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.0943

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.0915

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.0887

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.0870

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.0842

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.0836

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.0833

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.0812

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.0800

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.0800

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.0792

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.0772

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.0757

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.0720

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.0713

Cluster X0208

log Bayes Factor = 40.6733

contains 2 variants

0.0640

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.0634

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0623

Cluster X0083

log Bayes Factor = 351.917

contains 13 variants

0.0600

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.0554

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.0551

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.0530

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`)