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

Variant effects

Click on a variant to see its association results.

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Genome-wide Chromosomes: 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22

Results table

Variant	Risk posterior probability	No effect posterior probability	Protective posterior probability
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.694	0.306	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.676	0.323	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.662	0.338	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.660	0.340	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.636	0.363	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.616	0.383	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.609	0.391	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.605	0.394	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.598	0.401	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.590	0.410	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.585	0.415	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.572	0.428	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.571	0.429	0.000
rs4293393 lBF = `26.4744` Chr`16` : `20,364,588`	0.000	0.431	0.569
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.564	0.436	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.559	0.441	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.553	0.446	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.550	0.450	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.543	0.456	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.538	0.461	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.537	0.463	0.000
rs13329952 lBF = `29.1228` Chr`16` : `20,366,507`	0.001	0.470	0.529
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.522	0.478	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.515	0.485	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.499	0.501	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.491	0.509	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.489	0.511	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.489	0.511	0.000
rs12917707 lBF = `27.0521` Chr`16` : `20,367,690`	0.001	0.515	0.484
rs13333226 lBF = `26.6491` Chr`16` : `20,365,654`	0.001	0.522	0.477
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.456	0.544	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.438	0.562	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.428	0.572	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.426	0.574	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.413	0.587	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.397	0.603	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.392	0.607	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.386	0.614	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.383	0.617	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.374	0.625	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.371	0.629	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.365	0.634	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.360	0.640	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.357	0.643	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.352	0.648	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.349	0.651	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.349	0.651	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.348	0.652	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.342	0.658	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.338	0.662	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.333	0.667	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.321	0.679	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.312	0.688	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.303	0.697	0.000
rs7185940 lBF = `8.01101` Chr`16` : `20,410,488`	0.000	0.697	0.303
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.301	0.699	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.300	0.700	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.702	0.298
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.294	0.706	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.293	0.706	0.000
rs7192797 lBF = `7.25858` Chr`16` : `20,411,763`	0.000	0.724	0.275
rs9926580 lBF = `7.79339` Chr`16` : `20,410,547`	0.000	0.728	0.272
rs111285796 lBF = `25.8384` Chr`16` : `20,361,087`	0.001	0.738	0.260
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.256	0.744	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.256	0.744	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.256	0.744	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.252	0.748	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.246	0.754	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.243	0.757	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.241	0.759	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.235	0.765	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.218	0.782	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.217	0.783	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.209	0.791	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.208	0.791	0.001
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.202	0.798	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.196	0.804	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.184	0.816	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.183	0.816	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.176	0.824	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.158	0.842	0.000
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.157	0.843	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.156	0.844	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.154	0.845	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.146	0.854	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.142	0.858	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.138	0.862	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.135	0.865	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.133	0.867	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.126	0.874	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.118	0.881	0.001
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.117	0.882	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.114	0.886	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.109	0.891	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.105	0.895	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.104	0.895	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.101	0.899	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.099	0.900	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.094	0.906	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.085	0.915	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.080	0.920	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.078	0.922	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.061	0.938	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.061	0.939	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.060	0.939	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.059	0.941	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.058	0.941	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.055	0.944	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.054	0.946	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.053	0.947	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.949	0.050
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.045	0.954	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.043	0.957	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.042	0.958	0.000
rs154663 lBF = `0.192986` Chr`16` : `89,726,035`	0.042	0.958	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.041	0.959	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.041	0.959	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.037	0.963	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.036	0.963	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.035	0.964	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.032	0.968	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.032	0.968	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.032	0.968	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.030	0.970	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.028	0.972	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.028	0.972	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.027	0.972	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.027	0.972	0.000
rs9940128 lBF = `50.6204` Chr`16` : `53,800,754`	0.022	0.977	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.022	0.978	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.021	0.979	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.020	0.980	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.019	0.981	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.019	0.981	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.018	0.981	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.018	0.982	0.000
rs4494548 lBF = `2.26913` Chr`16` : `20,371,588`	0.018	0.982	0.000
rs4788196 lBF = `0.0575291` Chr`16` : `29,967,434`	0.016	0.984	0.000
rs4843416 lBF = `0.022299` Chr`16` : `86,685,419`	0.000	0.985	0.015
rs1121980 lBF = `51.6781` Chr`16` : `53,809,247`	0.015	0.985	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.014	0.986	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.014	0.986	0.000
rs35208507 lBF = `11.6407` Chr`16` : `20,388,929`	0.000	0.988	0.012
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	0.989	0.011
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.009	0.991	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.008	0.991	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.008	0.992	0.000
rs11864909 lBF = `14.7652` Chr`16` : `20,400,839`	0.001	0.992	0.006
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.007	0.993	0.000
rs4321205 lBF = `5.08147` Chr`16` : `20,375,536`	0.000	0.993	0.007
rs8177876 lBF = `0.0229414` Chr`16` : `81,124,275`	0.006	0.993	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.006	0.994	0.000
rs9923451 lBF = `0.133263` Chr`16` : `78,952,439`	0.006	0.994	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.005	0.995	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.995	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.005	0.995	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.005	0.995	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.004	0.996	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.004	0.996	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.004	0.996	0.000
rs1558902 lBF = `52.4011` Chr`16` : `53,803,574`	0.003	0.996	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.003	0.997	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.003	0.997	0.000
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.997	0.000
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.003	0.997	0.000
rs258324 lBF = `0.0699307` Chr`16` : `89,754,255`	0.003	0.997	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	0.997	0.003
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.003	0.997	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.997	0.003
rs1549306 lBF = `6.97066` Chr`16` : `75,415,341`	0.003	0.997	0.000
rs11642282 lBF = `0.0866592` Chr`16` : `79,058,257`	0.003	0.997	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.003	0.997	0.000
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs17444745 lBF = `-0.0548959` Chr`16` : `85,961,562`	0.002	0.997	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.002	0.998	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.002	0.998	0.000
rs8050059 lBF = `5.00877` Chr`16` : `75,388,731`	0.002	0.998	0.000
rs12446492 lBF = `6.16364` Chr`16` : `20,408,377`	0.001	0.998	0.002
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.002	0.998	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.002	0.998	0.000
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs1394678 lBF = `-0.024581` Chr`16` : `20,491,058`	0.002	0.998	0.000
rs1421085 lBF = `51.7214` Chr`16` : `53,800,954`	0.002	0.998	0.000
rs533581 lBF = `1.45786` Chr`16` : `88,967,437`	0.002	0.998	0.000
rs139419280 lBF = `0.00146626` Chr`16` : `82,664,833`	0.002	0.998	0.000
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.998	0.002
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.002	0.998	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.002	0.998	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.002	0.998	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.002	0.998	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	0.998	0.001
rs129963 lBF = `-0.0869484` Chr`16` : `3,796,147`	0.000	0.998	0.002
rs4888383 lBF = `5.39799` Chr`16` : `75,386,349`	0.001	0.998	0.000
rs11860231 lBF = `5.10285` Chr`16` : `75,385,159`	0.001	0.998	0.000
rs75728418 lBF = `0.00082855` Chr`16` : `7,932,578`	0.001	0.998	0.000
Affx-13430005 lBF = `16.3359` Chr`16` : `88,853,729`	0.000	0.998	0.001
rs837763 lBF = `16.2621` Chr`16` : `88,853,729`	0.001	0.999	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.001	0.999	0.000
rs16951021 lBF = `0.00072306` Chr`16` : `52,321,976`	0.001	0.999	0.000
rs77894924 lBF = `0.00094423` Chr`16` : `83,555,020`	0.001	0.999	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.001	0.999	0.000
rs189178161 lBF = `0.00095489` Chr`16` : `12,718,853`	0.001	0.999	0.000
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rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs1805007 lBF = `100.84` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs77270200 lBF = `62.4018` Chr`16` : `90,093,075`	0.000	1.000	0.000
rs17881561 lBF = `15.983` Chr`16` : `70,513,010`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs2000999 lBF = `9.07917` Chr`16` : `72,108,093`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs11643520 lBF = `0.13389` Chr`16` : `24,531,718`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	1.000	0.000
rs79900961 lBF = `0.00797861` Chr`16` : `9,297,812`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs9302752 lBF = `-0.033716` Chr`16` : `50,719,103`	0.000	1.000	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	1.000	0.000
Affx-35293625 lBF = `101.767` Chr`16` : `89,986,117`	0.000	1.000	0.000
rs35063026 lBF = `89.534` Chr`16` : `89,736,157`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs8044769 lBF = `20.9542` Chr`16` : `53,839,135`	0.000	1.000	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.000	1.000	0.000
rs62055045 lBF = `0.203111` Chr`16` : `71,396,661`	0.000	1.000	0.000
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	1.000	0.000
rs117372389 lBF = `-0.00759632` Chr`16` : `50,668,077`	0.000	1.000	0.000
rs1962636 lBF = `-0.0196444` Chr`16` : `22,064,395`	0.000	1.000	0.000
rs4781011 lBF = `-0.0201332` Chr`16` : `10,975,311`	0.000	1.000	0.000
rs12919634 lBF = `-0.0770561` Chr`16` : `60,462,706`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs11075253 lBF = `1.31146` Chr`16` : `15,148,646`	0.000	1.000	0.000
rs2352930 lBF = `0.754184` Chr`16` : `86,171,280`	0.000	1.000	0.000
rs4781415 lBF = `0.267009` Chr`16` : `13,217,905`	0.000	1.000	0.000
rs13330107 lBF = `0.237772` Chr`16` : `76,878,862`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs12446552 lBF = `0.174065` Chr`16` : `11,720,066`	0.000	1.000	0.000
rs142319636 lBF = `0.0482588` Chr`16` : `55,538,740`	0.000	1.000	0.000
rs8050326 lBF = `0.0307075` Chr`16` : `86,104,142`	0.000	1.000	0.000
rs7194356 lBF = `0.013132` Chr`16` : `18,062,136`	0.000	1.000	0.000
rs9933712 lBF = `0.00278812` Chr`16` : `14,086,445`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs12711490 lBF = `-0.0313861` Chr`16` : `85,973,028`	0.000	1.000	0.000
rs11644034 lBF = `-0.0325162` Chr`16` : `85,972,612`	0.000	1.000	0.000
rs72772480 lBF = `-0.0380275` Chr`16` : `23,061,941`	0.000	1.000	0.000
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	1.000	0.000
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.000	1.000	0.000
rs146972365 lBF = `77.6644` Chr`16` : `90,022,693`	0.000	1.000	0.000
rs45610233 lBF = `70.1674` Chr`16` : `90,048,395`	0.000	1.000	0.000
rs11648785 lBF = `17.9724` Chr`16` : `90,084,561`	0.000	1.000	0.000
Affx-13428879 lBF = `15.698` Chr`16` : `88,792,047`	0.000	1.000	0.000
rs17221417 lBF = `8.74535` Chr`16` : `50,739,582`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs78905828 lBF = `6.89552` Chr`16` : `88,802,573`	0.000	1.000	0.000
rs2376883 lBF = `6.6222` Chr`16` : `89,826,926`	0.000	1.000	0.000
rs6624 lBF = `6.43307` Chr`16` : `75,327,916`	0.000	1.000	0.000
rs4782321 lBF = `6.0256` Chr`16` : `88,780,175`	0.000	1.000	0.000
rs35420030 lBF = `5.6979` Chr`16` : `53,935,407`	0.000	1.000	0.000
rs11641184 lBF = `0.49443` Chr`16` : `11,704,651`	0.000	1.000	0.000
rs8060581 lBF = `0.494239` Chr`16` : `80,192,605`	0.000	1.000	0.000
rs61743495 lBF = `0.386817` Chr`16` : `1,484,455`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs118146573 lBF = `0.0381728` Chr`16` : `57,000,938`	0.000	1.000	0.000
rs16970881 lBF = `0.0375583` Chr`16` : `21,113,272`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs74019828 lBF = `0.0231635` Chr`16` : `58,209,274`	0.000	1.000	0.000
rs1463132 lBF = `0.0211482` Chr`16` : `10,183,087`	0.000	1.000	0.000
rs74249229 lBF = `0.012421` Chr`16` : `69,979,271`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs11640439 lBF = `-0.00336443` Chr`16` : `57,303,194`	0.000	1.000	0.000
rs11150610 lBF = `-0.00461934` Chr`16` : `31,334,236`	0.000	1.000	0.000
rs1062746 lBF = `-0.00832958` Chr`16` : `87,364,650`	0.000	1.000	0.000
rs117145500 lBF = `-0.024641` Chr`16` : `52,947,630`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs16971465 lBF = `-0.0369103` Chr`16` : `73,017,061`	0.000	1.000	0.000
rs12933233 lBF = `-0.0454663` Chr`16` : `87,111,630`	0.000	1.000	0.000
rs886427 lBF = `-0.0938422` Chr`16` : `3,023,605`	0.000	1.000	0.000
rs8047014 lBF = `-0.114118` Chr`16` : `69,135,049`	0.000	1.000	0.000
rs78800020 lBF = `76.2923` Chr`16` : `90,067,136`	0.000	1.000	0.000
rs8063160 lBF = `62.1641` Chr`16` : `90,054,709`	0.000	1.000	0.000
rs74836424 lBF = `44.1432` Chr`16` : `89,507,330`	0.000	1.000	0.000
rs11642841 lBF = `38.5864` Chr`16` : `53,845,487`	0.000	1.000	0.000
rs111460975 lBF = `38.1193` Chr`16` : `89,434,541`	0.000	1.000	0.000
rs3114908 lBF = `34.5307` Chr`16` : `89,383,725`	0.000	1.000	0.000
rs4390574 lBF = `16.0988` Chr`16` : `88,776,297`	0.000	1.000	0.000
Affx-13428745 lBF = `15.6415` Chr`16` : `88,783,521`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.000	1.000	0.000
rs35353288 lBF = `6.98293` Chr`16` : `88,800,814`	0.000	1.000	0.000
rs78579285 lBF = `6.54421` Chr`16` : `88,813,060`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	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 X0335

log Bayes Factor = 12.3689

contains 1 variants

0.2975

Cluster X0031

log Bayes Factor = 111.103

contains 3 variants

0.2653

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2506

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.7169

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7169

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.7169

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.7169

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7169

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.7169

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.7169

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7169

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.7169

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.7169

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.7169

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.7169

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.7169

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.7168

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.7168

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.7168

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.7167

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.7167

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.7166

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.7165

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.7165

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.7164

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.7164

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.7163

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.7153

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7153

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.7153

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7149

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7149

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.7148

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.7147

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.7145

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.7144

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.7142

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.7139

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.7138

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.7132

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7125

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.7118

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.7116

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.7107

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.7106

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.7104

Cluster X0225

log Bayes Factor = 36.4143

contains 3 variants

0.7095

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.7094

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.7053

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.6928

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.6872

Cluster X0100

log Bayes Factor = 730.252

contains 26 variants

0.6854

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.6844

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.6822

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.6783

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.6763

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.6721

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.6696

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.6507

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.6407

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.6335

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.5993

Cluster X0332

log Bayes Factor = 65.2374

contains 3 variants

0.5989

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.5888

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.5874

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.5847

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.5831

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5722

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.5715

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.5649

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.5555

Cluster X0269

log Bayes Factor = 155.455

contains 9 variants

0.5286

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.5276

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.5205

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5152

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5066

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.5053

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.4892

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.4758

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.4580

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.4511

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.4485

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.4450

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.4385

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.4363

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.4289

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.4270

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4213

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.4209

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4148

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.3971

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.3793

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.3774

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.3718

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3625

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.3588

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.3438

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.3395

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.3342

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.3216

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.3198

Cluster X0117

log Bayes Factor = 453.246

contains 21 variants

0.3192

Cluster X0258

log Bayes Factor = 104.851

contains 6 variants

0.3167

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.3050

Cluster X0080

log Bayes Factor = 455.123

contains 21 variants

0.3035

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.3015

Cluster X0191

log Bayes Factor = 163.555

contains 8 variants

0.3006

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.2993

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.2943

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.2906

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.2881

Cluster X0079

log Bayes Factor = 413.803

contains 22 variants

0.2782

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.2746

Cluster X0141

log Bayes Factor = 742.063

contains 30 variants

0.2645

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.2477

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

0.2367

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.2236

Cluster X0185

log Bayes Factor = 84.7127

contains 6 variants

0.2133

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2071

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.2014

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.1935

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.1860

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.1816

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.1786

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.1673

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.1639

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.1594

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.1504

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.1497

Cluster X0300

log Bayes Factor = 109.684

contains 3 variants

0.1385

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.1284

Cluster X0050

log Bayes Factor = 397.79

contains 16 variants

0.1141

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.0975

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0968

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.0941

Cluster X0013

log Bayes Factor = 548.265

contains 23 variants

0.0901

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0881

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0865

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.0855

Cluster X0015

log Bayes Factor = 356.23

contains 15 variants

0.0832

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.0801

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.0794

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.0740

Cluster X0199

log Bayes Factor = 350.038

contains 3 variants

0.0686

Cluster X0306

log Bayes Factor = 24.0492

contains 2 variants

0.0608

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.0589

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.0585

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.0578

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.0524

The TreeWAS Database is the result of research conducted at the Oxford Big Data Institute at the University of Oxford.

This research has been conducted using the UK Biobank Resource (application number 10625). This work uses data provided by patients and collected by the NHS as part of their care and support.

This research has been conducted with the support of the Wellcome Trust (100956/Z/13/Z and 090532/Z/09/Z and 100308/Z/12/Z), the Danish National Research Foundation, Takeda, the Medical Research Council (MC_UU_12010/3), the Oak Foundation (OCAY-15-520), the National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), the Wellcome Trust/Royal Society (204290/Z/16/Z) and the Li Ka Shing Foundation.

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)