TreeWAS – [E87.0] Hyperosmolality and hypernatraemia

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
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.795	0.205	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.787	0.213	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.782	0.218	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.781	0.219	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.774	0.226	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.770	0.230	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.762	0.237	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.757	0.243	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.739	0.261	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.735	0.265	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.702	0.298	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.702	0.298	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.697	0.303	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.685	0.314	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.685	0.315	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.684	0.316	0.000
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.674	0.326	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.650	0.350	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.642	0.358	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.628	0.372	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.618	0.382	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.611	0.389	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.605	0.395	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.591	0.409	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.579	0.421	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.576	0.424	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.574	0.426	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.572	0.428	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.567	0.433	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.517	0.482	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.516	0.484	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.515	0.484	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.514	0.486	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.512	0.488	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.496	0.504	0.000
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.481	0.519	0.000
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.458	0.542	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.456	0.544	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.453	0.547	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.449	0.551	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.438	0.562	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.437	0.563	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.430	0.570	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.423	0.577	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.408	0.592	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.402	0.598	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.386	0.614	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.372	0.627	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.370	0.630	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.366	0.634	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.359	0.641	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.329	0.671	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.302	0.698	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.298	0.702	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.291	0.708	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.290	0.710	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.258	0.742	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.255	0.745	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.242	0.758	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.226	0.773	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.223	0.777	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.214	0.785	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.210	0.790	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.207	0.793	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.205	0.795	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.204	0.796	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.200	0.800	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.197	0.803	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.195	0.804	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.192	0.808	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.188	0.812	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.185	0.815	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.182	0.817	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.180	0.820	0.000
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.176	0.824	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.173	0.826	0.000
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.168	0.832	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.167	0.833	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.163	0.837	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.147	0.853	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.140	0.860	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.135	0.864	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.133	0.867	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.120	0.879	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.120	0.880	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.113	0.886	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.111	0.888	0.000
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.109	0.891	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.102	0.898	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.101	0.899	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.100	0.900	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.094	0.906	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.093	0.907	0.000
rs28810 lBF = `0.00524551` Chr`16` : `3,500,515`	0.093	0.907	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.092	0.908	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.084	0.916	0.000
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.083	0.917	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.079	0.921	0.000
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.079	0.921	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.078	0.922	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.077	0.923	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.071	0.929	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.071	0.929	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.071	0.929	0.000
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.070	0.930	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.069	0.930	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.063	0.936	0.000
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.062	0.938	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.060	0.939	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.059	0.940	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.059	0.940	0.001
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.059	0.941	0.000
rs7192724 lBF = `0.100554` Chr`16` : `81,958,298`	0.056	0.944	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.056	0.944	0.000
rs8050940 lBF = `0.0737519` Chr`16` : `62,100,211`	0.053	0.947	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.053	0.947	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.052	0.948	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.051	0.949	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.049	0.951	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.049	0.951	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.046	0.954	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	0.957	0.043
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.041	0.959	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.040	0.960	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.040	0.960	0.000
rs67335251 lBF = `0.0717983` Chr`16` : `4,071,722`	0.033	0.967	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.029	0.971	0.000
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.029	0.971	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.028	0.972	0.001
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.026	0.974	0.000
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.026	0.974	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.025	0.975	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.023	0.977	0.000
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.022	0.978	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.021	0.979	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.020	0.980	0.000
rs9933429 lBF = `0.544349` Chr`16` : `26,170,940`	0.000	0.980	0.020
rs40363 lBF = `-0.0680447` Chr`16` : `3,509,056`	0.019	0.981	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.019	0.981	0.000
rs117604355 lBF = `8.1344` Chr`16` : `82,276,031`	0.018	0.981	0.000
rs11554764 lBF = `7.38931` Chr`16` : `72,130,125`	0.000	0.982	0.018
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.016	0.983	0.001
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.017	0.983	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.016	0.983	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.015	0.984	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.015	0.985	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.015	0.985	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.015	0.985	0.000
rs67163887 lBF = `0.0143883` Chr`16` : `87,694,041`	0.000	0.986	0.014
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.014	0.986	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.988	0.012
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.011	0.989	0.000
rs11643654 lBF = `1.92054` Chr`16` : `51,183,728`	0.000	0.989	0.011
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.010	0.989	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.010	0.990	0.000
rs12922061 lBF = `49.1158` Chr`16` : `52,635,000`	0.010	0.990	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.010	0.990	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.008	0.992	0.001
rs11648003 lBF = `10.0947` Chr`16` : `72,052,348`	0.007	0.992	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.007	0.993	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.007	0.993	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.006	0.993	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.006	0.994	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.005	0.994	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.005	0.995	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.005	0.995	0.000
rs3785176 lBF = `0.0152003` Chr`16` : `8,896,931`	0.005	0.995	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.005	0.995	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.004	0.995	0.000
rs4888262 lBF = `-0.0746425` Chr`16` : `74,670,458`	0.000	0.996	0.004
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.004	0.996	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.004	0.996	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.996	0.004
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.003	0.997	0.000
rs34286592 lBF = `0.631949` Chr`16` : `29,820,480`	0.003	0.997	0.000
rs8056742 lBF = `-0.0618944` Chr`16` : `85,092,748`	0.000	0.997	0.003
rs1906060 lBF = `0.00633283` Chr`16` : `6,108,430`	0.000	0.997	0.003
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	0.997	0.003
rs1564981 lBF = `-0.0400606` Chr`16` : `50,986,308`	0.000	0.997	0.003
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.003	0.997	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.003	0.997	0.000
rs7197475 lBF = `-0.0512825` Chr`16` : `30,642,867`	0.003	0.997	0.000
rs2018916 lBF = `-0.125196` Chr`16` : `63,700,508`	0.003	0.997	0.000
rs16955379 lBF = `0.413015` Chr`16` : `81,489,373`	0.000	0.997	0.003
rs2859631 lBF = `0.0285956` Chr`16` : `78,631,794`	0.000	0.997	0.002
rs4787491 lBF = `-0.060852` Chr`16` : `30,015,337`	0.003	0.997	0.000
rs17281813 lBF = `0.294971` Chr`16` : `49,750,790`	0.000	0.998	0.002
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.998	0.000
rs7191751 lBF = `-0.067992` Chr`16` : `86,304,261`	0.002	0.998	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.998	0.001
rs7186852 lBF = `-0.0435017` Chr`16` : `30,635,659`	0.002	0.998	0.000
rs744972 lBF = `-0.0826043` Chr`16` : `69,542,376`	0.000	0.998	0.002
rs11649653 lBF = `0.70393` Chr`16` : `30,918,487`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.002	0.998	0.000
rs1532624 lBF = `0.283711` Chr`16` : `57,005,479`	0.000	0.998	0.002
rs11574514 lBF = `0.0579049` Chr`16` : `67,971,380`	0.000	0.998	0.002
rs6540223 lBF = `0.354428` Chr`16` : `88,321,436`	0.002	0.998	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.002	0.998	0.000
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rs14235 lBF = `1.05551` Chr`16` : `31,121,793`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs149133508 lBF = `0.140559` Chr`16` : `34,850,618`	0.000	1.000	0.000
rs7184597 lBF = `0.0323666` Chr`16` : `28,921,809`	0.000	1.000	0.000
rs11150078 lBF = `0.0169832` Chr`16` : `78,466,704`	0.000	1.000	0.000
rs150252171 lBF = `0.013109` Chr`16` : `62,570,349`	0.000	1.000	0.000
rs41472047 lBF = `0.00012948` Chr`16` : `80,745,775`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs2735413 lBF = `-0.0378154` Chr`16` : `78,053,643`	0.000	1.000	0.000
rs4787484 lBF = `-0.0491076` Chr`16` : `29,906,546`	0.000	1.000	0.000
rs11075138 lBF = `-0.0736825` Chr`16` : `12,723,811`	0.000	1.000	0.000
rs7188861 lBF = `0.289045` Chr`16` : `11,454,650`	0.000	1.000	0.000
rs16948876 lBF = `0.0243057` Chr`16` : `50,854,418`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	0.000	1.000	0.000
rs12921383 lBF = `74.0948` Chr`16` : `89,859,753`	0.000	1.000	0.000
rs1364063 lBF = `14.9508` Chr`16` : `69,588,572`	0.000	1.000	0.000
rs78432537 lBF = `8.60831` Chr`16` : `69,873,831`	0.000	1.000	0.000
rs4129126 lBF = `8.32442` Chr`16` : `89,561,475`	0.000	1.000	0.000
rs3848233 lBF = `5.01047` Chr`16` : `88,992,338`	0.000	1.000	0.000
rs72802342 lBF = `3.92692` Chr`16` : `75,234,872`	0.000	1.000	0.000
rs4788099 lBF = `1.54973` Chr`16` : `28,855,727`	0.000	1.000	0.000
rs62037363 lBF = `1.53611` Chr`16` : `28,865,042`	0.000	1.000	0.000
rs3888190 lBF = `1.43112` Chr`16` : `28,889,486`	0.000	1.000	0.000
rs12599402 lBF = `1.41689` Chr`16` : `11,189,888`	0.000	1.000	0.000
rs8049439 lBF = `1.37853` Chr`16` : `28,837,515`	0.000	1.000	0.000
rs4581716 lBF = `1.36978` Chr`16` : `7,458,135`	0.000	1.000	0.000
rs12691307 lBF = `0.0239576` Chr`16` : `29,939,877`	0.000	1.000	0.000
rs117468730 lBF = `0.0194902` Chr`16` : `10,205,467`	0.000	1.000	0.000
rs1035560 lBF = `0.00137358` Chr`16` : `72,032,730`	0.000	1.000	0.000
rs4082514 lBF = `-0.00350218` Chr`16` : `82,379,953`	0.000	1.000	0.000
rs12449157 lBF = `-0.067449` Chr`16` : `67,708,897`	0.000	1.000	0.000
rs77870048 lBF = `25.4086` Chr`16` : `69,965,021`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs4888966 lBF = `0.0643644` Chr`16` : `79,431,853`	0.000	1.000	0.000
rs12927205 lBF = `0.0509957` Chr`16` : `72,025,077`	0.000	1.000	0.000
rs4968031 lBF = `0.00887241` Chr`16` : `23,765,774`	0.000	1.000	0.000
rs7204436 lBF = `-0.00524982` Chr`16` : `5,283,491`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs258322 lBF = `67.0466` Chr`16` : `89,755,903`	0.000	1.000	0.000
rs6596 lBF = `7.37092` Chr`16` : `50,709,723`	0.000	1.000	0.000
rs6499255 lBF = `0.297466` Chr`16` : `69,830,328`	0.000	1.000	0.000
rs1421084 lBF = `0.0241182` Chr`16` : `53,757,740`	0.000	1.000	0.000
rs7190997 lBF = `0.0229797` Chr`16` : `31,368,178`	0.000	1.000	0.000
rs111702115 lBF = `-0.064647` Chr`16` : `82,643,490`	0.000	1.000	0.000
rs12446940 lBF = `-0.0678355` Chr`16` : `3,962,620`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs151181 lBF = `1.562` Chr`16` : `28,490,517`	0.000	1.000	0.000
rs13708 lBF = `0.663477` Chr`16` : `31,000,809`	0.000	1.000	0.000
rs12924903 lBF = `0.447489` Chr`16` : `30,928,970`	0.000	1.000	0.000
rs117208012 lBF = `0.365036` Chr`16` : `347,063`	0.000	1.000	0.000
rs11865038 lBF = `0.213016` Chr`16` : `31,095,171`	0.000	1.000	0.000
rs58423913 lBF = `0.0837611` Chr`16` : `78,930,737`	0.000	1.000	0.000
rs6500602 lBF = `0.0560949` Chr`16` : `4,497,451`	0.000	1.000	0.000
rs3743714 lBF = `-0.0087003` Chr`16` : `66,583,705`	0.000	1.000	0.000
rs12447718 lBF = `-0.00982145` Chr`16` : `88,570,134`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs4787008 lBF = `-0.0608961` Chr`16` : `7,415,552`	0.000	1.000	0.000
rs377457 lBF = `-0.0788817` Chr`16` : `85,735,652`	0.000	1.000	0.000
rs3865188 lBF = `-0.0810088` Chr`16` : `82,650,717`	0.000	1.000	0.000
rs382745 lBF = `15.7914` Chr`16` : `89,603,586`	0.000	1.000	0.000
rs1296720 lBF = `2.00067` Chr`16` : `3,873,642`	0.000	1.000	0.000
rs12598357 lBF = `1.89442` Chr`16` : `28,340,945`	0.000	1.000	0.000
rs12928404 lBF = `1.56682` Chr`16` : `28,847,246`	0.000	1.000	0.000
rs246234 lBF = `0.0893087` Chr`16` : `16,128,742`	0.000	1.000	0.000
rs1566045 lBF = `0.0829848` Chr`16` : `51,021,803`	0.000	1.000	0.000
rs1541692 lBF = `0.0555124` Chr`16` : `79,608,692`	0.000	1.000	0.000
rs1392502 lBF = `0.0151152` Chr`16` : `59,787,570`	0.000	1.000	0.000
rs2541522 lBF = `-0.00790646` Chr`16` : `10,750,548`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs148560653 lBF = `-0.0192039` Chr`16` : `60,939,777`	0.000	1.000	0.000
rs2042415 lBF = `-0.029517` Chr`16` : `74,978,618`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs13330176 lBF = `-0.0368147` Chr`16` : `86,019,087`	0.000	1.000	0.000
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	1.000	0.000
rs8055236 lBF = `-0.0548507` Chr`16` : `83,212,398`	0.000	1.000	0.000
rs11641231 lBF = `-0.0963028` Chr`16` : `86,381,184`	0.000	1.000	0.000
rs17831015 lBF = `-0.0997987` Chr`16` : `24,621,348`	0.000	1.000	0.000
rs12708980 lBF = `-0.122958` Chr`16` : `57,012,379`	0.000	1.000	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs12924729 lBF = `2.48109` Chr`16` : `11,187,783`	0.000	1.000	0.000
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs12445568 lBF = `0.111174` Chr`16` : `31,004,812`	0.000	1.000	0.000
rs117147010 lBF = `0.0688777` Chr`16` : `12,596,935`	0.000	1.000	0.000
rs1859308 lBF = `0.0674772` Chr`16` : `27,397,998`	0.000	1.000	0.000
rs2107357 lBF = `0.0352961` Chr`16` : `27,410,829`	0.000	1.000	0.000
rs2203512 lBF = `0.034775` Chr`16` : `27,056,455`	0.000	1.000	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	1.000	0.000
rs7499271 lBF = `0.00373174` Chr`16` : `20,555,259`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs13333054 lBF = `-0.0287458` Chr`16` : `86,011,033`	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)

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

1.0000

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.9984

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

0.9966

Cluster X0070

log Bayes Factor = 421.182

contains 15 variants

0.9962

Cluster X0082

log Bayes Factor = 496.905

contains 17 variants

0.9928

Cluster X0213

log Bayes Factor = 405.918

contains 15 variants

0.9908

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9891

Cluster X0277

log Bayes Factor = 726.213

contains 23 variants

0.9816

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9809

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.9776

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9761

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.9680

Cluster X0018

log Bayes Factor = 430.611

contains 18 variants

0.9679

Cluster X0150

log Bayes Factor = 861.091

contains 26 variants

0.9648

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.9646

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.9636

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.9579

Cluster X0171

log Bayes Factor = 291.293

contains 14 variants

0.9534

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.9531

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9511

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.9501

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9492

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9461

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.9459

Cluster X0290

log Bayes Factor = 333.908

contains 13 variants

0.9450

Cluster X0095

log Bayes Factor = 179.348

contains 8 variants

0.9410

Cluster X0003

log Bayes Factor = 195.6

contains 8 variants

0.9388

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.9316

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9258

Cluster X0040

log Bayes Factor = 542.747

contains 16 variants

0.9149

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9096

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.9074

Cluster X0232

log Bayes Factor = 695.273

contains 23 variants

0.9056

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9035

Cluster X0039

log Bayes Factor = 463.231

contains 17 variants

0.9024

Cluster X0147

log Bayes Factor = 133.509

contains 9 variants

0.8978

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.8845

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

0.8782

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.8771

Cluster X0052

log Bayes Factor = 654.387

contains 25 variants

0.8766

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8738

Cluster X0060

log Bayes Factor = 242.413

contains 5 variants

0.8696

Cluster X0109

log Bayes Factor = 257.685

contains 11 variants

0.8695

Cluster X0075

log Bayes Factor = 431.344

contains 16 variants

0.8582

Cluster X0167

log Bayes Factor = 136.48

contains 6 variants

0.8551

Cluster X0229

log Bayes Factor = 347.165

contains 13 variants

0.8550

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.8483

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.8448

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.8397

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.8374

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.8355

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

0.8310

Cluster X0161

log Bayes Factor = 609.219

contains 20 variants

0.8275

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.8275

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.8229

Cluster X0155

log Bayes Factor = 348.568

contains 12 variants

0.8212

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.8209

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.8200

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

0.8146

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.8110

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.7998

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.7972

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.7906

Cluster X0192

log Bayes Factor = 402.511

contains 14 variants

0.7799

Cluster X0058

log Bayes Factor = 183.199

contains 8 variants

0.7742

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.7737

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.7650

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7459

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7441

Cluster X0259

log Bayes Factor = 246.237

contains 11 variants

0.7435

Cluster X0125

log Bayes Factor = 215.738

contains 7 variants

0.7390

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.7167

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

0.7097

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.7022

Cluster X0124

log Bayes Factor = 336.468

contains 13 variants

0.6902

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.6897

Cluster X0320

log Bayes Factor = 110.964

contains 6 variants

0.6891

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.6788

Cluster X0047

log Bayes Factor = 378.621

contains 14 variants

0.6762

Cluster X0148

log Bayes Factor = 315.237

contains 11 variants

0.6736

Cluster X0134

log Bayes Factor = 151.731

contains 8 variants

0.6585

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.6333

Cluster X0227

log Bayes Factor = 249.287

contains 11 variants

0.6268

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.6233

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.6174

Cluster X0019

log Bayes Factor = 372.36

contains 16 variants

0.5949

Cluster X0212

log Bayes Factor = 300.777

contains 10 variants

0.5880

Cluster X0086

log Bayes Factor = 131.002

contains 8 variants

0.5846

Cluster X0132

log Bayes Factor = 267.393

contains 11 variants

0.5619

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.5582

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.5516

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.5432

Cluster X0271

log Bayes Factor = 256.743

contains 10 variants

0.5431

Cluster X0182

log Bayes Factor = 91.4459

contains 4 variants

0.5348

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.5290

Cluster X0264

log Bayes Factor = 205.833

contains 10 variants

0.5241

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.5200

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.5181

Cluster X0246

log Bayes Factor = 121.08

contains 5 variants

0.4886

Cluster X0033

log Bayes Factor = 379.444

contains 13 variants

0.4811

Cluster X0184

log Bayes Factor = 188.416

contains 8 variants

0.4500

Cluster X0030

log Bayes Factor = 216.364

contains 9 variants

0.4417

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.4304

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.4293

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.4246

Cluster X0005

log Bayes Factor = 282.915

contains 11 variants

0.4092

Cluster X0071

log Bayes Factor = 131.269

contains 6 variants

0.3973

Cluster X0326

log Bayes Factor = 112.92

contains 5 variants

0.3812

Cluster X0089

log Bayes Factor = 308.747

contains 13 variants

0.3658

Cluster X0236

log Bayes Factor = 83.9265

contains 3 variants

0.3395

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.3190

Cluster X0276

log Bayes Factor = 187.108

contains 9 variants

0.3166

Cluster X0078

log Bayes Factor = 203.49

contains 11 variants

0.3154

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.3131

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.3040

Cluster X0111

log Bayes Factor = 403.183

contains 18 variants

0.3035

Cluster X0174

log Bayes Factor = 214.209

contains 8 variants

0.3009

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.2843

Cluster X0283

log Bayes Factor = 162.98

contains 9 variants

0.2534

Cluster X0131

log Bayes Factor = 143.942

contains 8 variants

0.2388

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.2378

Cluster X0062

log Bayes Factor = 68.7461

contains 4 variants

0.2146

Cluster X0007

log Bayes Factor = 107.567

contains 7 variants

0.1889

Cluster X0091

log Bayes Factor = 303.64

contains 12 variants

0.1886

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

0.1867

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.1845

Cluster X0068

log Bayes Factor = 127.774

contains 6 variants

0.1792

Cluster X0042

log Bayes Factor = 307.243

contains 12 variants

0.1642

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1624

Cluster X0224

log Bayes Factor = 278.692

contains 11 variants

0.1619

Cluster X0193

log Bayes Factor = 303.265

contains 16 variants

0.1593

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.1553

Cluster X0220

log Bayes Factor = 142.284

contains 7 variants

0.1339

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.1301

Cluster X0284

log Bayes Factor = 192.532

contains 9 variants

0.1043

Cluster X0085

log Bayes Factor = 138.902

contains 6 variants

0.1014

Cluster X0053

log Bayes Factor = 218.825

contains 12 variants

0.0953

Cluster X0197

log Bayes Factor = 158.582

contains 8 variants

0.0933

Cluster X0261

log Bayes Factor = 420.614

contains 20 variants

0.0855

Cluster X0084

log Bayes Factor = 433.078

contains 21 variants

0.0817

Cluster X0129

log Bayes Factor = 195.809

contains 7 variants

0.0793

Cluster X0298

log Bayes Factor = 220.671

contains 1 variants

0.0715

Cluster X0278

log Bayes Factor = 173.437

contains 11 variants

0.0667

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.0659

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.0621

Cluster X0069

log Bayes Factor = 519.392

contains 20 variants

0.0580

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`)