TreeWAS – [B95.6] Staphylococcus aureus as the cause of diseases classified to other chapters

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
rs73598796 lBF = `12.129` Chr`16` : `82,025,794`	0.949	0.051	0.000
rs770764 lBF = `17.7903` Chr`16` : `60,303,723`	0.908	0.092	0.000
rs17774983 lBF = `12.6669` Chr`16` : `89,493,234`	0.896	0.104	0.000
rs79395151 lBF = `12.3279` Chr`16` : `22,272,027`	0.862	0.138	0.000
rs72799290 lBF = `21.6918` Chr`16` : `84,121,289`	0.859	0.141	0.000
rs117312671 lBF = `24.8436` Chr`16` : `67,936,863`	0.843	0.157	0.000
rs75638798 lBF = `1.42101` Chr`16` : `6,504,024`	0.838	0.162	0.000
rs112817022 lBF = `21.0666` Chr`16` : `22,274,136`	0.794	0.206	0.000
rs118155048 lBF = `12.4591` Chr`16` : `55,189,457`	0.784	0.216	0.000
rs666636 lBF = `12.3872` Chr`16` : `56,601,720`	0.775	0.225	0.000
rs282232 lBF = `13.7114` Chr`16` : `56,597,350`	0.765	0.235	0.000
rs113501257 lBF = `17.3074` Chr`16` : `21,722,406`	0.765	0.235	0.000
rs56276220 lBF = `14.6281` Chr`16` : `28,330,317`	0.756	0.244	0.000
rs117096873 lBF = `11.0059` Chr`16` : `11,386,960`	0.755	0.245	0.000
rs2301601 lBF = `7.06119` Chr`16` : `23,366,528`	0.738	0.262	0.000
rs77859761 lBF = `18.8632` Chr`16` : `81,993,215`	0.734	0.266	0.000
rs9935937 lBF = `0.946034` Chr`16` : `74,986,485`	0.732	0.268	0.000
rs78873708 lBF = `28.1642` Chr`16` : `7,408,842`	0.703	0.297	0.000
rs75957893 lBF = `8.17006` Chr`16` : `75,381,816`	0.694	0.306	0.000
rs75005694 lBF = `15.5513` Chr`16` : `28,320,382`	0.693	0.307	0.000
rs61502801 lBF = `11.9032` Chr`16` : `12,248,879`	0.661	0.339	0.000
rs112572951 lBF = `28.6867` Chr`16` : `7,462,090`	0.648	0.352	0.000
rs12051272 lBF = `1.61799` Chr`16` : `82,663,288`	0.633	0.367	0.000
rs112247854 lBF = `14.4224` Chr`16` : `7,291,344`	0.619	0.381	0.000
rs79656987 lBF = `12.8741` Chr`16` : `67,357,900`	0.595	0.405	0.000
rs7192981 lBF = `9.18729` Chr`16` : `75,339,131`	0.594	0.406	0.000
rs11867071 lBF = `14.7556` Chr`16` : `68,760,442`	0.594	0.406	0.000
rs2288017 lBF = `12.487` Chr`16` : `84,793,749`	0.576	0.424	0.000
rs76114334 lBF = `19.0254` Chr`16` : `83,093,295`	0.572	0.428	0.000
rs76653830 lBF = `9.27013` Chr`16` : `84,836,091`	0.565	0.434	0.000
rs113920704 lBF = `31.1936` Chr`16` : `7,472,397`	0.560	0.440	0.000
rs139338093 lBF = `17.683` Chr`16` : `84,778,766`	0.558	0.442	0.000
rs75896014 lBF = `10.709` Chr`16` : `24,531,387`	0.553	0.447	0.000
rs149740259 lBF = `3.65077` Chr`16` : `83,783,828`	0.544	0.456	0.000
rs75522355 lBF = `12.1753` Chr`16` : `6,640,457`	0.535	0.465	0.000
rs6420398 lBF = `18.8598` Chr`16` : `76,991,593`	0.523	0.477	0.000
rs77682898 lBF = `24.1144` Chr`16` : `26,717,490`	0.500	0.500	0.000
rs118183808 lBF = `15.0414` Chr`16` : `71,438,393`	0.494	0.506	0.000
rs11645236 lBF = `19.5773` Chr`16` : `54,713,198`	0.445	0.555	0.000
rs9936351 lBF = `16.9967` Chr`16` : `6,141,379`	0.428	0.572	0.000
rs11150606 lBF = `14.614` Chr`16` : `31,099,011`	0.415	0.585	0.000
rs9652781 lBF = `17.8088` Chr`16` : `195,391`	0.415	0.585	0.000
rs72791114 lBF = `8.04324` Chr`16` : `72,205,671`	0.411	0.589	0.000
rs117268490 lBF = `14.8328` Chr`16` : `81,830,515`	0.382	0.618	0.000
rs9924009 lBF = `6.18168` Chr`16` : `11,782,049`	0.370	0.630	0.000
rs42471 lBF = `8.92286` Chr`16` : `75,480,608`	0.361	0.639	0.000
rs181167431 lBF = `11.0835` Chr`16` : `74,079,026`	0.357	0.643	0.000
rs16970670 lBF = `6.69072` Chr`16` : `72,225,187`	0.350	0.650	0.000
rs37603 lBF = `9.49661` Chr`16` : `75,505,567`	0.347	0.653	0.000
rs117285773 lBF = `14.3986` Chr`16` : `5,628,412`	0.346	0.654	0.000
rs117153386 lBF = `8.12893` Chr`16` : `69,634,727`	0.346	0.654	0.000
rs79274317 lBF = `9.38319` Chr`16` : `7,354,883`	0.341	0.659	0.000
rs117097463 lBF = `17.5524` Chr`16` : `48,610,292`	0.338	0.662	0.000
rs12691052 lBF = `4.46234` Chr`16` : `57,007,512`	0.337	0.663	0.000
rs62057608 lBF = `5.08013` Chr`16` : `34,682,193`	0.336	0.664	0.000
rs76309893 lBF = `21.1949` Chr`16` : `13,228,713`	0.323	0.677	0.000
rs34735233 lBF = `8.29735` Chr`16` : `3,993,318`	0.323	0.677	0.000
rs17232120 lBF = `9.61677` Chr`16` : `89,880,844`	0.319	0.681	0.000
rs117664943 lBF = `16.2944` Chr`16` : `52,408,480`	0.315	0.685	0.000
rs710079 lBF = `14.6065` Chr`16` : `129,223`	0.311	0.689	0.000
rs3751845 lBF = `2.9765` Chr`16` : `3,778,337`	0.305	0.695	0.000
rs76861960 lBF = `13.3651` Chr`16` : `77,599,439`	0.299	0.701	0.000
rs8044050 lBF = `16.7322` Chr`16` : `74,922,857`	0.296	0.704	0.000
rs4783278 lBF = `8.34675` Chr`16` : `82,829,767`	0.289	0.711	0.000
rs138436123 lBF = `5.39195` Chr`16` : `2,978,068`	0.287	0.713	0.000
rs41321249 lBF = `14.692` Chr`16` : `31,341,424`	0.284	0.716	0.000
rs12443701 lBF = `16.477` Chr`16` : `77,302,444`	0.259	0.741	0.000
rs75495766 lBF = `31.5977` Chr`16` : `72,693,940`	0.255	0.745	0.000
rs1982955 lBF = `7.12195` Chr`16` : `76,969,598`	0.242	0.758	0.000
rs116183707 lBF = `14.8739` Chr`16` : `7,142,287`	0.241	0.759	0.000
rs11864146 lBF = `7.6214` Chr`16` : `84,046,715`	0.238	0.762	0.000
rs35053137 lBF = `12.277` Chr`16` : `81,590,859`	0.236	0.764	0.000
rs201918052 lBF = `21.0846` Chr`16` : `30,772,988`	0.222	0.778	0.000
rs75193761 lBF = `11.2566` Chr`16` : `67,233,243`	0.219	0.781	0.000
rs117535546 lBF = `19.5942` Chr`16` : `65,916,225`	0.217	0.782	0.001
rs11644694 lBF = `7.27682` Chr`16` : `58,557,342`	0.216	0.784	0.000
rs17674099 lBF = `12.945` Chr`16` : `81,506,593`	0.216	0.784	0.000
rs5743292 lBF = `9.66373` Chr`16` : `50,759,731`	0.210	0.790	0.000
rs74347133 lBF = `17.4128` Chr`16` : `13,216,365`	0.199	0.801	0.000
rs75885813 lBF = `12.9219` Chr`16` : `7,141,263`	0.196	0.804	0.000
rs117453948 lBF = `17.5477` Chr`16` : `77,965,459`	0.195	0.805	0.000
rs74013184 lBF = `7.38165` Chr`16` : `24,363,769`	0.192	0.808	0.000
rs58144239 lBF = `0.2532` Chr`16` : `12,759,509`	0.190	0.810	0.000
rs12149070 lBF = `10.9184` Chr`16` : `70,913,984`	0.182	0.817	0.001
rs61733768 lBF = `11.6573` Chr`16` : `67,213,950`	0.179	0.821	0.000
rs117167356 lBF = `12.9266` Chr`16` : `50,029,488`	0.172	0.828	0.000
rs61744716 lBF = `12.8365` Chr`16` : `30,569,349`	0.170	0.830	0.000
rs145996888 lBF = `5.16769` Chr`16` : `31,525,628`	0.170	0.830	0.000
rs75397367 lBF = `8.07931` Chr`16` : `84,041,217`	0.167	0.833	0.000
rs186112291 lBF = `3.93539` Chr`16` : `31,213,181`	0.167	0.833	0.000
rs2229288 lBF = `0.309738` Chr`16` : `72,828,304`	0.162	0.838	0.000
rs4782160 lBF = `13.3659` Chr`16` : `14,650,645`	0.156	0.844	0.000
rs62043710 lBF = `11.5928` Chr`16` : `79,979,067`	0.154	0.846	0.000
rs117530360 lBF = `16.4491` Chr`16` : `1,952,972`	0.152	0.848	0.000
rs77061563 lBF = `6.51949` Chr`16` : `11,452,542`	0.149	0.851	0.000
rs118175001 lBF = `26.7437` Chr`16` : `72,724,630`	0.149	0.851	0.000
rs76475900 lBF = `15.2634` Chr`16` : `59,672,738`	0.144	0.856	0.000
rs61744392 lBF = `12.8838` Chr`16` : `67,037,035`	0.143	0.857	0.000
rs58563355 lBF = `20.9719` Chr`16` : `1,199,938`	0.138	0.862	0.000
rs117602470 lBF = `13.2546` Chr`16` : `32,585,912`	0.137	0.863	0.000
rs1303874 lBF = `20.4674` Chr`16` : `76,434,865`	0.135	0.865	0.000
rs118099348 lBF = `2.12723` Chr`16` : `19,435,029`	0.135	0.865	0.000
rs193031333 lBF = `7.91451` Chr`16` : `79,189,810`	0.130	0.869	0.000
rs113797007 lBF = `25.0423` Chr`16` : `12,649,840`	0.128	0.872	0.000
rs6497718 lBF = `0.200184` Chr`16` : `24,091,838`	0.120	0.880	0.000
rs11642961 lBF = `5.1645` Chr`16` : `7,139,435`	0.117	0.883	0.000
rs62036855 lBF = `15.9862` Chr`16` : `26,232,045`	0.116	0.884	0.000
rs117073822 lBF = `14.7798` Chr`16` : `21,337,217`	0.116	0.884	0.000
rs189013090 lBF = `15.7644` Chr`16` : `22,826,046`	0.113	0.887	0.000
rs76681713 lBF = `24.4335` Chr`16` : `72,333,346`	0.112	0.888	0.000
rs17831506 lBF = `7.89004` Chr`16` : `49,016,296`	0.111	0.889	0.000
rs149808359 lBF = `0.884594` Chr`16` : `31,384,127`	0.107	0.892	0.000
rs7187223 lBF = `13.0009` Chr`16` : `82,457,733`	0.107	0.893	0.000
rs7205511 lBF = `0.148372` Chr`16` : `24,094,703`	0.105	0.894	0.000
rs12929627 lBF = `0.124398` Chr`16` : `24,094,977`	0.091	0.909	0.000
rs1641895 lBF = `14.1003` Chr`16` : `12,641,115`	0.087	0.912	0.001
rs16967753 lBF = `2.08166` Chr`16` : `64,635,403`	0.083	0.916	0.001
rs138642423 lBF = `3.85062` Chr`16` : `84,310,399`	0.083	0.917	0.001
rs118022586 lBF = `15.2786` Chr`16` : `89,001,840`	0.083	0.917	0.000
rs17713676 lBF = `1.1768` Chr`16` : `79,073,421`	0.081	0.919	0.000
rs139875745 lBF = `0.419107` Chr`16` : `31,396,892`	0.080	0.920	0.000
rs117582629 lBF = `8.51744` Chr`16` : `12,456,402`	0.079	0.921	0.000
rs111696352 lBF = `17.5381` Chr`16` : `81,790,491`	0.079	0.921	0.000
rs138450362 lBF = `1.99354` Chr`16` : `22,950,613`	0.075	0.924	0.000
rs8062326 lBF = `10.0922` Chr`16` : `19,156,016`	0.076	0.924	0.000
rs35526040 lBF = `0.0915799` Chr`16` : `24,093,337`	0.073	0.927	0.000
rs74635150 lBF = `14.3707` Chr`16` : `54,673,627`	0.072	0.928	0.000
rs34289708 lBF = `0.0906836` Chr`16` : `24,095,374`	0.069	0.931	0.000
rs6498142 lBF = `1.90121` Chr`16` : `11,081,249`	0.069	0.931	0.000
rs79272333 lBF = `13.5184` Chr`16` : `65,995,651`	0.067	0.932	0.001
rs150196149 lBF = `8.52422` Chr`16` : `90,126,993`	0.068	0.932	0.000
rs58296637 lBF = `0.139588` Chr`16` : `76,463,936`	0.067	0.933	0.000
rs55723035 lBF = `12.5757` Chr`16` : `75,490,145`	0.064	0.936	0.000
rs79523270 lBF = `9.90193` Chr`16` : `88,443,748`	0.064	0.936	0.000
rs74934799 lBF = `13.1374` Chr`16` : `75,468,490`	0.062	0.937	0.000
rs4389167 lBF = `5.82795` Chr`16` : `74,592,132`	0.062	0.938	0.000
rs117458000 lBF = `12.1666` Chr`16` : `79,776,544`	0.058	0.942	0.000
rs75116029 lBF = `15.377` Chr`16` : `13,489,294`	0.053	0.945	0.002
rs189794920 lBF = `0.0931077` Chr`16` : `2,658,385`	0.051	0.949	0.000
rs11864332 lBF = `0.085269` Chr`16` : `12,977,062`	0.047	0.953	0.000
rs117254288 lBF = `12.3689` Chr`16` : `32,379,046`	0.000	0.958	0.042
rs34641959 lBF = `19.1716` Chr`16` : `85,568,804`	0.041	0.959	0.000
rs75781922 lBF = `11.3472` Chr`16` : `88,149,539`	0.040	0.960	0.000
rs11641700 lBF = `7.55882` Chr`16` : `57,780,381`	0.039	0.961	0.000
rs117019691 lBF = `21.5576` Chr`16` : `57,505,625`	0.037	0.963	0.000
rs79358781 lBF = `0.0343247` Chr`16` : `80,298,550`	0.037	0.963	0.000
rs140556148 lBF = `6.77472` Chr`16` : `71,346,949`	0.035	0.965	0.000
rs8044995 lBF = `0.075296` Chr`16` : `68,189,340`	0.000	0.966	0.034
rs72805156 lBF = `15.3888` Chr`16` : `85,887,242`	0.032	0.967	0.001
rs76246633 lBF = `27.2748` Chr`16` : `74,924,716`	0.032	0.968	0.000
rs12921419 lBF = `0.0356997` Chr`16` : `24,089,771`	0.028	0.972	0.000
rs79214645 lBF = `5.90548` Chr`16` : `34,380,004`	0.027	0.973	0.000
rs77172747 lBF = `11.7522` Chr`16` : `67,605,125`	0.024	0.976	0.001
rs11538871 lBF = `14.2251` Chr`16` : `89,977,745`	0.024	0.976	0.000
rs9934540 lBF = `0.137432` Chr`16` : `77,876,763`	0.022	0.977	0.000
rs11150589 lBF = `0.0240347` Chr`16` : `30,482,494`	0.000	0.980	0.020
rs71384569 lBF = `6.74754` Chr`16` : `50,593,084`	0.019	0.981	0.000
rs76488452 lBF = `5.1616` Chr`16` : `53,756,885`	0.014	0.986	0.000
rs4078023 lBF = `0.103761` Chr`16` : `20,320,087`	0.014	0.986	0.000
rs72781450 lBF = `8.96513` Chr`16` : `13,988,334`	0.013	0.986	0.000
rs77576048 lBF = `9.88924` Chr`16` : `90,078,724`	0.013	0.987	0.000
rs80213544 lBF = `10.5045` Chr`16` : `75,116,252`	0.012	0.988	0.000
rs4150167 lBF = `0.122519` Chr`16` : `84,213,684`	0.011	0.989	0.000
rs8060686 lBF = `-0.0415157` Chr`16` : `67,911,517`	0.000	0.989	0.011
rs8045590 lBF = `6.79603` Chr`16` : `6,114,071`	0.010	0.990	0.000
rs34952337 lBF = `5.6582` Chr`16` : `66,470,822`	0.010	0.990	0.000
rs2066847 lBF = `5.18245` Chr`16` : `50,763,778`	0.010	0.990	0.000
rs74249525 lBF = `0.18106` Chr`16` : `83,447,271`	0.010	0.990	0.000
rs7190458 lBF = `4.70261` Chr`16` : `75,263,661`	0.008	0.991	0.001
rs80167425 lBF = `13.1983` Chr`16` : `55,715,542`	0.008	0.992	0.000
rs9926335 lBF = `6.67192` Chr`16` : `56,583,726`	0.006	0.994	0.000
rs12598815 lBF = `0.013489` Chr`16` : `82,848,208`	0.006	0.994	0.000
rs4597304 lBF = `0.0126915` Chr`16` : `85,055,741`	0.000	0.994	0.006
rs190542424 lBF = `2.80667` Chr`16` : `34,377,824`	0.005	0.994	0.000
rs145049847 lBF = `0.00753444` Chr`16` : `22,202,002`	0.005	0.994	0.000
rs17688076 lBF = `0.0139568` Chr`16` : `68,286,427`	0.000	0.995	0.005
rs6500818 lBF = `0.29881` Chr`16` : `6,817,375`	0.005	0.995	0.000
rs12925413 lBF = `8.50475` Chr`16` : `7,241,628`	0.004	0.996	0.000
rs7190199 lBF = `9.04801` Chr`16` : `57,101,340`	0.004	0.996	0.000
rs12599426 lBF = `-0.0492816` Chr`16` : `35,088,131`	0.004	0.996	0.000
rs8056064 lBF = `0.00130499` Chr`16` : `82,787,053`	0.000	0.996	0.004
rs255049 lBF = `-0.0397049` Chr`16` : `68,013,471`	0.000	0.997	0.003
rs9941219 lBF = `-0.0623914` Chr`16` : `50,437,528`	0.000	0.997	0.003
rs141218390 lBF = `8.40175` Chr`16` : `88,501,386`	0.002	0.997	0.001
rs4074373 lBF = `-0.0513813` Chr`16` : `83,555,525`	0.000	0.997	0.003
rs113716969 lBF = `0.0125255` Chr`16` : `76,846,266`	0.003	0.997	0.001
rs7185320 lBF = `8.98742` Chr`16` : `57,101,373`	0.003	0.997	0.000
rs570013781 lBF = `0.0187981` Chr`16` : `149,539`	0.002	0.997	0.001
rs4527026 lBF = `0.00365789` Chr`16` : `19,960,320`	0.002	0.997	0.000
rs9928486 lBF = `0.00015953` Chr`16` : `24,088,176`	0.002	0.997	0.000
rs6500745 lBF = `6.23499` Chr`16` : `6,113,694`	0.002	0.997	0.000
rs1809845 lBF = `-0.00251154` Chr`16` : `86,186,072`	0.002	0.998	0.000
rs11863065 lBF = `-0.00849213` Chr`16` : `82,326,805`	0.000	0.998	0.002
rs9938585 lBF = `-0.00002905` Chr`16` : `24,085,201`	0.002	0.998	0.000
rs56823429 lBF = `0.0518039` Chr`16` : `81,533,789`	0.000	0.998	0.002
rs386965 lBF = `-0.0757266` Chr`16` : `79,652,541`	0.000	0.998	0.002
rs192917960 lBF = `0.00220954` Chr`16` : `5,919,655`	0.002	0.998	0.000
rs12446289 lBF = `0.0231972` Chr`16` : `7,903,609`	0.002	0.998	0.000
rs138250198 lBF = `-0.00017136` Chr`16` : `31,261,856`	0.002	0.998	0.000
rs17789174 lBF = `-0.0686163` Chr`16` : `85,103,885`	0.000	0.998	0.002
rs7403856 lBF = `-0.0808688` Chr`16` : `6,156,326`	0.002	0.998	0.000
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rs17216786 lBF = `0.0384773` Chr`16` : `83,487,471`	0.000	1.000	0.000
rs4787294 lBF = `-0.0138212` Chr`16` : `25,002,350`	0.000	1.000	0.000
rs1864163 lBF = `-0.0147459` Chr`16` : `56,997,233`	0.000	1.000	0.000
rs17706989 lBF = `-0.0157863` Chr`16` : `78,569,957`	0.000	1.000	0.000
rs13332649 lBF = `-0.0233194` Chr`16` : `85,966,683`	0.000	1.000	0.000
rs310008 lBF = `-0.027498` Chr`16` : `81,473,649`	0.000	1.000	0.000
rs9921338 lBF = `-0.029943` Chr`16` : `11,416,839`	0.000	1.000	0.000
rs8057927 lBF = `-0.0318253` Chr`16` : `82,692,812`	0.000	1.000	0.000
rs8056650 lBF = `-0.044881` Chr`16` : `59,890,698`	0.000	1.000	0.000
rs11645002 lBF = `-0.0449779` Chr`16` : `20,617,841`	0.000	1.000	0.000
rs2733954 lBF = `-0.0724173` Chr`16` : `85,836,256`	0.000	1.000	0.000
rs12444268 lBF = `-0.0736532` Chr`16` : `20,342,572`	0.000	1.000	0.000
rs4083242 lBF = `-0.0786122` Chr`16` : `86,368,526`	0.000	1.000	0.000
rs9708611 lBF = `11.5019` Chr`16` : `52,612,665`	0.000	1.000	0.000
rs74321030 lBF = `4.24828` Chr`16` : `13,863,332`	0.000	1.000	0.000
rs26528 lBF = `0.611624` Chr`16` : `28,517,709`	0.000	1.000	0.000
rs8048576 lBF = `0.586869` Chr`16` : `84,423,034`	0.000	1.000	0.000
rs8050907 lBF = `0.0986209` Chr`16` : `4,646,878`	0.000	1.000	0.000
rs416603 lBF = `0.0624644` Chr`16` : `11,364,079`	0.000	1.000	0.000
rs11648716 lBF = `0.0568877` Chr`16` : `85,906,616`	0.000	1.000	0.000
rs10521318 lBF = `0.0477271` Chr`16` : `86,011,337`	0.000	1.000	0.000
rs11643447 lBF = `0.0431343` Chr`16` : `6,699,261`	0.000	1.000	0.000
rs16944687 lBF = `0.0212038` Chr`16` : `86,138,102`	0.000	1.000	0.000
rs62041965 lBF = `0.00631872` Chr`16` : `79,551,227`	0.000	1.000	0.000
rs77221366 lBF = `0.00438569` Chr`16` : `13,111,995`	0.000	1.000	0.000
rs6500744 lBF = `0.0031726` Chr`16` : `6,113,661`	0.000	1.000	0.000
rs1299926 lBF = `0.00246064` Chr`16` : `8,871,081`	0.000	1.000	0.000
rs9635542 lBF = `0.0017328` Chr`16` : `5,001,380`	0.000	1.000	0.000
rs17702912 lBF = `-0.0138934` Chr`16` : `25,002,600`	0.000	1.000	0.000
rs10521222 lBF = `-0.0149816` Chr`16` : `51,158,710`	0.000	1.000	0.000
rs3213758 lBF = `-0.0227134` Chr`16` : `53,639,438`	0.000	1.000	0.000
rs9921518 lBF = `-0.0463397` Chr`16` : `54,494,424`	0.000	1.000	0.000
rs11574637 lBF = `-0.0605421` Chr`16` : `31,368,874`	0.000	1.000	0.000
rs34552238 lBF = `12.5616` Chr`16` : `89,920,497`	0.000	1.000	0.000
rs4782309 lBF = `8.77841` Chr`16` : `88,721,538`	0.000	1.000	0.000
rs11643304 lBF = `7.76732` Chr`16` : `88,803,934`	0.000	1.000	0.000
rs11549837 lBF = `7.58732` Chr`16` : `88,779,739`	0.000	1.000	0.000
rs61742623 lBF = `6.4332` Chr`16` : `88,802,748`	0.000	1.000	0.000
rs11865121 lBF = `2.26799` Chr`16` : `11,166,688`	0.000	1.000	0.000
rs12934187 lBF = `2.18476` Chr`16` : `13,845,719`	0.000	1.000	0.000
rs16941835 lBF = `0.716837` Chr`16` : `86,695,720`	0.000	1.000	0.000
rs432925 lBF = `0.36972` Chr`16` : `334,580`	0.000	1.000	0.000
rs17445836 lBF = `0.296492` Chr`16` : `86,017,663`	0.000	1.000	0.000
rs2235649 lBF = `0.173412` Chr`16` : `1,837,406`	0.000	1.000	0.000
rs12922317 lBF = `0.173024` Chr`16` : `12,077,632`	0.000	1.000	0.000
rs7200786 lBF = `0.171329` Chr`16` : `11,177,801`	0.000	1.000	0.000
rs2361763 lBF = `0.159969` Chr`16` : `85,993,134`	0.000	1.000	0.000
rs11859916 lBF = `0.0293668` Chr`16` : `20,351,231`	0.000	1.000	0.000
rs190369 lBF = `0.0210703` Chr`16` : `79,573,751`	0.000	1.000	0.000
rs4265793 lBF = `0.0138148` Chr`16` : `19,028,549`	0.000	1.000	0.000
rs17675602 lBF = `0.00350176` Chr`16` : `82,962,763`	0.000	1.000	0.000
rs117559033 lBF = `-0.00951664` Chr`16` : `25,944,544`	0.000	1.000	0.000
rs10514475 lBF = `-0.0177753` Chr`16` : `79,991,692`	0.000	1.000	0.000
rs2764743 lBF = `-0.0194661` Chr`16` : `20,031,205`	0.000	1.000	0.000
rs4788439 lBF = `-0.0258917` Chr`16` : `24,931,798`	0.000	1.000	0.000
rs7187423 lBF = `-0.0260002` Chr`16` : `54,090,495`	0.000	1.000	0.000
rs16947526 lBF = `-0.0444996` Chr`16` : `74,860,556`	0.000	1.000	0.000
rs12926503 lBF = `-0.0495952` Chr`16` : `84,031,482`	0.000	1.000	0.000
rs889472 lBF = `-0.080382` Chr`16` : `79,645,989`	0.000	1.000	0.000
rs8050187 lBF = `-0.0833936` Chr`16` : `79,186,886`	0.000	1.000	0.000
rs11866781 lBF = `-0.107466` Chr`16` : `7,139,173`	0.000	1.000	0.000
rs62052821 lBF = `8.48117` Chr`16` : `69,598,657`	0.000	1.000	0.000
rs8046018 lBF = `8.23507` Chr`16` : `88,719,980`	0.000	1.000	0.000
rs11075995 lBF = `1.50903` Chr`16` : `53,855,291`	0.000	1.000	0.000
rs12447542 lBF = `0.31201` Chr`16` : `7,744,180`	0.000	1.000	0.000
rs2059238 lBF = `0.248767` Chr`16` : `78,258,810`	0.000	1.000	0.000
rs1211375 lBF = `0.222355` Chr`16` : `240,280`	0.000	1.000	0.000
rs7199896 lBF = `0.218307` Chr`16` : `58,372,984`	0.000	1.000	0.000
rs11117432 lBF = `0.194317` Chr`16` : `86,019,271`	0.000	1.000	0.000
rs5880 lBF = `0.190648` Chr`16` : `57,015,091`	0.000	1.000	0.000
rs758747 lBF = `0.106862` Chr`16` : `3,627,358`	0.000	1.000	0.000
rs1895518 lBF = `0.0972942` Chr`16` : `64,904,722`	0.000	1.000	0.000
rs8046312 lBF = `0.0342471` Chr`16` : `19,979,334`	0.000	1.000	0.000
rs34975147 lBF = `0.0249252` Chr`16` : `87,678,576`	0.000	1.000	0.000
rs2581305 lBF = `0.0107763` Chr`16` : `86,374,208`	0.000	1.000	0.000
rs7404928 lBF = `0.00128759` Chr`16` : `23,888,840`	0.000	1.000	0.000
rs151222 lBF = `-0.011566` Chr`16` : `20,674,492`	0.000	1.000	0.000
rs8044477 lBF = `-0.0147133` Chr`16` : `58,976,591`	0.000	1.000	0.000
rs875858 lBF = `-0.0190135` Chr`16` : `70,775,455`	0.000	1.000	0.000
rs1156327 lBF = `-0.0227096` Chr`16` : `19,348,524`	0.000	1.000	0.000
rs12932018 lBF = `-0.0504867` Chr`16` : `84,796,603`	0.000	1.000	0.000
rs7189501 lBF = `-0.0565337` Chr`16` : `6,175,429`	0.000	1.000	0.000
rs8045253 lBF = `-0.0649985` Chr`16` : `86,437,767`	0.000	1.000	0.000
rs7404939 lBF = `15.3255` Chr`16` : `88,807,896`	0.000	1.000	0.000
rs60675007 lBF = `10.4312` Chr`16` : `83,018,052`	0.000	1.000	0.000
rs11640986 lBF = `5.02472` Chr`16` : `89,024,450`	0.000	1.000	0.000
rs2903692 lBF = `2.57866` Chr`16` : `11,238,783`	0.000	1.000	0.000
rs16966142 lBF = `0.410374` Chr`16` : `89,851,033`	0.000	1.000	0.000
rs892244 lBF = `0.289533` Chr`16` : `82,628,494`	0.000	1.000	0.000
rs12446487 lBF = `0.236546` Chr`16` : `58,671,815`	0.000	1.000	0.000
rs11642873 lBF = `0.155464` Chr`16` : `85,991,705`	0.000	1.000	0.000
rs78910009 lBF = `0.129117` Chr`16` : `86,408,183`	0.000	1.000	0.000
rs3729639 lBF = `0.103985` Chr`16` : `67,225,501`	0.000	1.000	0.000
rs3112740 lBF = `0.076717` Chr`16` : `7,836,297`	0.000	1.000	0.000
rs344364 lBF = `0.00835018` Chr`16` : `1,973,516`	0.000	1.000	0.000
rs4129575 lBF = `-0.00136381` Chr`16` : `26,129,783`	0.000	1.000	0.000
rs8045064 lBF = `-0.011943` Chr`16` : `24,675,589`	0.000	1.000	0.000
rs11644988 lBF = `-0.0171` Chr`16` : `86,485,131`	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 X0186

log Bayes Factor = 35.9761

contains 2 variants

0.2877

Cluster X0333

log Bayes Factor = 38.671

contains 2 variants

0.2473

Variant clusters with highest risk effect

(posterior probability > 0.05)

Cluster X0057

log Bayes Factor = 439.35

contains 16 variants

1.0000

Cluster X0157

log Bayes Factor = 172.957

contains 8 variants

1.0000

Cluster X0051

log Bayes Factor = 376.793

contains 14 variants

1.0000

Cluster X0164

log Bayes Factor = 463.793

contains 16 variants

1.0000

Cluster X0024

log Bayes Factor = 309.44

contains 13 variants

1.0000

Cluster X0256

log Bayes Factor = 211.588

contains 9 variants

1.0000

Cluster X0165

log Bayes Factor = 303.727

contains 12 variants

1.0000

Cluster X0205

log Bayes Factor = 674.183

contains 18 variants

0.9999

Cluster X0249

log Bayes Factor = 244.457

contains 11 variants

0.9999

Cluster X0180

log Bayes Factor = 410.88

contains 15 variants

0.9996

Cluster X0073

log Bayes Factor = 785.614

contains 25 variants

0.9995

Cluster X0120

log Bayes Factor = 79.6695

contains 4 variants

0.9992

Cluster X0181

log Bayes Factor = 141.396

contains 6 variants

0.9989

Cluster X0093

log Bayes Factor = 289.878

contains 10 variants

0.9987

Cluster X0102

log Bayes Factor = 99.5678

contains 5 variants

0.9985

Cluster X0143

log Bayes Factor = 179.808

contains 8 variants

0.9978

Cluster X0054

log Bayes Factor = 197.338

contains 9 variants

0.9951

Cluster X0154

log Bayes Factor = 282.084

contains 12 variants

0.9949

Cluster X0055

log Bayes Factor = 274.911

contains 10 variants

0.9917

Cluster X0152

log Bayes Factor = 331.156

contains 10 variants

0.9889

Cluster X0170

log Bayes Factor = 264.081

contains 11 variants

0.9884

Cluster X0072

log Bayes Factor = 1189.98

contains 37 variants

0.9884

Cluster X0178

log Bayes Factor = 225.6

contains 9 variants

0.9884

Cluster X0234

log Bayes Factor = 28.8983

contains 2 variants

0.9859

Cluster X0014

log Bayes Factor = 131.677

contains 6 variants

0.9853

Cluster X0142

log Bayes Factor = 295.63

contains 12 variants

0.9833

Cluster X0194

log Bayes Factor = 189.9

contains 5 variants

0.9827

Cluster X0029

log Bayes Factor = 709.102

contains 23 variants

0.9822

Cluster X0176

log Bayes Factor = 407.797

contains 14 variants

0.9637

Cluster X0044

log Bayes Factor = 1165.44

contains 34 variants

0.9397

Cluster X0074

log Bayes Factor = 353.38

contains 15 variants

0.9370

Cluster X0243

log Bayes Factor = 104.974

contains 6 variants

0.9321

Cluster X0268

log Bayes Factor = 213.591

contains 8 variants

0.9317

Cluster X0177

log Bayes Factor = 254.872

contains 10 variants

0.9291

Cluster X0153

log Bayes Factor = 328.394

contains 11 variants

0.9240

Cluster X0189

log Bayes Factor = 149.681

contains 5 variants

0.9226

Cluster X0094

log Bayes Factor = 562.956

contains 18 variants

0.9186

Cluster X0139

log Bayes Factor = 304.555

contains 10 variants

0.9126

Cluster X0026

log Bayes Factor = 232.119

contains 9 variants

0.9054

Cluster X0012

log Bayes Factor = 112.432

contains 5 variants

0.8946

Cluster X0088

log Bayes Factor = 243.609

contains 9 variants

0.8730

Cluster X0244

log Bayes Factor = 122.647

contains 5 variants

0.8728

Cluster X0059

log Bayes Factor = 922.497

contains 26 variants

0.8693

Cluster X0106

log Bayes Factor = 980.916

contains 30 variants

0.8618

Cluster X0201

log Bayes Factor = 368.049

contains 13 variants

0.8519

Cluster X0274

log Bayes Factor = 454.783

contains 18 variants

0.8374

Cluster X0126

log Bayes Factor = 384.432

contains 15 variants

0.8313

Cluster X0098

log Bayes Factor = 246.226

contains 8 variants

0.7918

Cluster X0043

log Bayes Factor = 517.108

contains 20 variants

0.7596

Cluster X0045

log Bayes Factor = 446.264

contains 16 variants

0.7575

Cluster X0121

log Bayes Factor = 131.08

contains 9 variants

0.7382

Cluster X0156

log Bayes Factor = 226.954

contains 9 variants

0.7358

Cluster X0118

log Bayes Factor = 91.1908

contains 5 variants

0.7105

Cluster X0049

log Bayes Factor = 597.061

contains 18 variants

0.7089

Cluster X0145

log Bayes Factor = 274.587

contains 11 variants

0.7016

Cluster X0237

log Bayes Factor = 123.902

contains 6 variants

0.6982

Cluster X0231

log Bayes Factor = 82.3185

contains 5 variants

0.5450

Cluster X0159

log Bayes Factor = 152.327

contains 7 variants

0.5338

Cluster X0223

log Bayes Factor = 122.347

contains 7 variants

0.5272

Cluster X0077

log Bayes Factor = 571.533

contains 17 variants

0.5062

Cluster X0065

log Bayes Factor = 53.0717

contains 3 variants

0.4710

Cluster X0087

log Bayes Factor = 894.58

contains 26 variants

0.4680

Cluster X0273

log Bayes Factor = 109.896

contains 6 variants

0.3889

Cluster X0020

log Bayes Factor = 557.721

contains 18 variants

0.3829

Cluster X0137

log Bayes Factor = 120.748

contains 4 variants

0.3728

Cluster X0037

log Bayes Factor = 171.712

contains 6 variants

0.3405

Cluster X0209

log Bayes Factor = 214.798

contains 8 variants

0.3328

Cluster X0248

log Bayes Factor = 254.854

contains 10 variants

0.2873

Cluster X0275

log Bayes Factor = 219.726

contains 10 variants

0.2801

Cluster X0107

log Bayes Factor = 151.016

contains 1 variants

0.2694

Cluster X0081

log Bayes Factor = 278.568

contains 10 variants

0.2582

Cluster X0203

log Bayes Factor = 363.522

contains 11 variants

0.2288

Cluster X0119

log Bayes Factor = 114.358

contains 6 variants

0.2166

Cluster X0110

log Bayes Factor = 721.325

contains 13 variants

0.2061

Cluster X0238

log Bayes Factor = 97.9307

contains 4 variants

0.1985

Cluster X0166

log Bayes Factor = 230.746

contains 8 variants

0.1889

Cluster X0028

log Bayes Factor = 120.445

contains 7 variants

0.1832

Cluster X0140

log Bayes Factor = 164.536

contains 8 variants

0.1787

Cluster X0122

log Bayes Factor = 219.114

contains 9 variants

0.1470

Cluster X0021

log Bayes Factor = 338.631

contains 13 variants

0.1307

Cluster X0004

log Bayes Factor = 32.8452

contains 2 variants

0.1196

Cluster X0315

log Bayes Factor = 42.686

contains 2 variants

0.1142

Cluster X0214

log Bayes Factor = 186.582

contains 8 variants

0.1100

Cluster X0222

log Bayes Factor = 431.582

contains 17 variants

0.1075

Cluster X0293

log Bayes Factor = 169.051

contains 7 variants

0.1059

Cluster X0297

log Bayes Factor = 63.8292

contains 4 variants

0.1029

Cluster X0257

log Bayes Factor = 281.184

contains 10 variants

0.1029

Cluster X0210

log Bayes Factor = 426.159

contains 17 variants

0.0863

Cluster X0032

log Bayes Factor = 255.737

contains 12 variants

0.0791

Cluster X0067

log Bayes Factor = 179.381

contains 8 variants

0.0754

Cluster X0063

log Bayes Factor = 107.557

contains 5 variants

0.0728

Cluster X0041

log Bayes Factor = 306.192

contains 14 variants

0.0636

Cluster X0146

log Bayes Factor = 686.343

contains 22 variants

0.0621

Cluster X0253

log Bayes Factor = 331.491

contains 13 variants

0.0563

Cluster X0133

log Bayes Factor = 224.204

contains 11 variants

0.0535

Cluster X0267

log Bayes Factor = 92.4806

contains 5 variants

0.0503

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

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

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

Diagnostic term associations

Hospitalization Episode Statistics (`HES`)

(posterior probability > 0.05)

(posterior probability > 0.05)

Diagnostic term associations

Hospitalization Episode Statistics (HES)

(posterior probability > 0.05)

(posterior probability > 0.05)

Hospitalization Episode Statistics (`HES`)