Search: onr:"swepub:oai:lup.lub.lu.se:40b917ed-e63f-4dbd-b67a-d3c5506d16e9" > Transferability of ...
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000 | 03330naa a2200553 4500 | |
001 | oai:lup.lub.lu.se:40b917ed-e63f-4dbd-b67a-d3c5506d16e9 | |
003 | SwePub | |
008 | 160401s2006 | |||||||||||000 ||eng| | |
024 | 7 | a https://lup.lub.lu.se/record/3786652 URI |
024 | 7 | a https://doi.org/10.1038/ng18992 DOI |
040 | a (SwePub)lu | |
041 | a engb eng | |
042 | 9 SwePub | |
072 | 7 | a art2 swepub-publicationtype |
072 | 7 | a ref2 swepub-contenttype |
100 | 1 | a de Bakker, Paul I. W.4 aut |
245 | 1 0 | a Transferability of tag SNPs in genetic association studies in multiple populations |
264 | c 2006-10-22 | |
264 | 1 | b Springer Science and Business Media LLC,c 2006 |
520 | a A general question for linkage disequilibrium-based association studies is how power to detect an association is compromised when tag SNPs are chosen from data in one population sample and then deployed in another sample. Specifically, it is important to know how well tags picked from the HapMap DNA samples capture the variation in other samples. To address this, we collected dense data uniformly across the four HapMap population samples and eleven other population samples. We picked tag SNPs using genotype data we collected in the HapMap samples and then evaluated the effective coverage of these tags in comparison to the entire set of common variants observed in the other samples. We simulated case-control association studies in the non-HapMap samples under a disease model of modest risk, and we observed little loss in power. These results demonstrate that the HapMap DNA samples can be used to select tags for genome-wide association studies in many samples around the world. | |
650 | 7 | a MEDICIN OCH HÄLSOVETENSKAPx Klinisk medicinx Endokrinologi och diabetes0 (SwePub)302052 hsv//swe |
650 | 7 | a MEDICAL AND HEALTH SCIENCESx Clinical Medicinex Endocrinology and Diabetes0 (SwePub)302052 hsv//eng |
700 | 1 | a Burtt, Noel P.4 aut |
700 | 1 | a Graham, Robert R.4 aut |
700 | 1 | a Guiducci, Candace4 aut |
700 | 1 | a Yelensky, Roman4 aut |
700 | 1 | a Drake, Jared A.4 aut |
700 | 1 | a Bersaglieri, Todd4 aut |
700 | 1 | a Penney, Kathryn L.4 aut |
700 | 1 | a Butler, Johannah4 aut |
700 | 1 | a Young, Stanton4 aut |
700 | 1 | a Onofrio, Robert C.4 aut |
700 | 1 | a Lyon, Helen N.4 aut |
700 | 1 | a O Stram, Daniel4 aut |
700 | 1 | a Haiman, Christopher A.4 aut |
700 | 1 | a Freedman, Matthew L.4 aut |
700 | 1 | a Zhu, Xiaofeng4 aut |
700 | 1 | a Cooper, Richard4 aut |
700 | 1 | a Groop, Leifu Lund University,Lunds universitet,Genomik, diabetes och endokrinologi,Forskargrupper vid Lunds universitet,Genomics, Diabetes and Endocrinology,Lund University Research Groups4 aut0 (Swepub:lu)endo-lgr |
700 | 1 | a Kolonel, Laurence N.4 aut |
700 | 1 | a Henderson, Brian E.4 aut |
700 | 1 | a Daly, Mark J.4 aut |
700 | 1 | a Hirschhorn, Joel N.4 aut |
700 | 1 | a Altshuler, David4 aut |
710 | 2 | a Genomik, diabetes och endokrinologib Forskargrupper vid Lunds universitet4 org |
773 | 0 | t Nature Geneticsd : Springer Science and Business Media LLCg 38:11, s. 1298-1303q 38:11<1298-1303x 1546-1718x 1061-4036 |
856 | 4 | u http://dx.doi.org/10.1038/ng1899y FULLTEXT |
856 | 4 8 | u https://lup.lub.lu.se/record/378665 |
856 | 4 8 | u https://doi.org/10.1038/ng1899 |
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