WFRF:(Kaptan Damla)
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- Atabaki-Pasdar, NaeimehLund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden. (author)
Statistical power considerations in genotype-based recall randomized controlled trials
- Article/chapterEnglish2016
Publisher, publication year, extent ...
- 2016-11-25
- Springer Science and Business Media LLC,2016
Numbers
- LIBRIS-ID:oai:lup.lub.lu.se:c0af82c1-9034-4586-9da7-8f6303c26195
- https://lup.lub.lu.se/record/c0af82c1-9034-4586-9da7-8f6303c26195URI
- https://doi.org/10.1038/srep37307DOI
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-128954URI
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-311186URI
Supplementary language notes
- Language:English
- Summary in:English
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- SwePubSwePub
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Notes
- Randomized controlled trials (RCT) are often underpowered for validating gene-treatment interactions. Using published data from the Diabetes Prevention Program (DPP), we examined power in conventional and genotype-based recall (GBR) trials. We calculated sample size and statistical power for gene-metformin interactions (vs. placebo) using incidence rates, gene-drug interaction effect estimates and allele frequencies reported in the DPP for the rs8065082 SLC47A1 variant, a metformin transported encoding locus. We then calculated statistical power for interactions between genetic risk scores (GRS), metformin treatment and intensive lifestyle intervention (ILI) given a range of sampling frames, clinical trial sample sizes, interaction effect estimates, and allele frequencies; outcomes were type 2 diabetes incidence (time-to-event) and change in small LDL particles (continuous outcome). Thereafter, we compared two recruitment frameworks: GBR (participants recruited from the extremes of a GRS distribution) and conventional sampling (participants recruited without explicit emphasis on genetic characteristics). We further examined the influence of outcome measurement error on statistical power. Under most simulated scenarios, GBR trials have substantially higher power to observe gene-drug and gene-lifestyle interactions than same-sized conventional RCTs. GBR trials are becoming popular for validation of gene-treatment interactions; our analyses illustrate the strengths and weaknesses of this design.
Subject headings and genre
- MEDICIN OCH HÄLSOVETENSKAP Medicinska och farmaceutiska grundvetenskaper Medicinsk genetik hsv//swe
- MEDICAL AND HEALTH SCIENCES Basic Medicine Medical Genetics hsv//eng
- NATURVETENSKAP Matematik Sannolikhetsteori och statistik hsv//swe
- NATURAL SCIENCES Mathematics Probability Theory and Statistics hsv//eng
- MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Endokrinologi och diabetes hsv//swe
- MEDICAL AND HEALTH SCIENCES Clinical Medicine Endocrinology and Diabetes hsv//eng
Added entries (persons, corporate bodies, meetings, titles ...)
- Ohlsson, MattiasLund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Har omorganiserats,Institutionen för astronomi och teoretisk fysik - Har omorganiserats,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Has been reorganised,Department of Astronomy and Theoretical Physics - Has been reorganised,Faculty of Science,Lund Univ, Dept Astron & Theoret Phys, Computat Biol & Biol Phys Unit, Lund, Sweden.(Swepub:lu)thep-moh (author)
- Shungin, DmitryLund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden.(Swepub:lu)med-dsn (author)
- Kurbasic, AzraLund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden.(Swepub:lu)mats-aku (author)
- Ingelsson, ErikUppsala universitet,Uppsala University,Molekylär epidemiologi(Swepub:uu)ering425 (author)
- Pearson, Ewan R.University of Dundee,Univ Dundee, Med Res Inst, Div Cardiovasc & Diabet Med, Dundee, Scotland. (author)
- Ali, AshfaqLund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden.(Swepub:lu)cob-aaf (author)
- Franks, Paul W.Umeå universitet,Umeå University,Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Department of Clinical Sciences, Genetic and Molecular Epidemiology Unit, Lund University, Malmö, SE-205 02, Sweden; Department of Nutrition, Harvard School of Public Health, Boston, MA, USA,Medicin,Lund Univ, Dept Clin Sci, Genet & Mol Epidemiol Unit, SE-20502 Malmo, Sweden.;Umea Univ, Dept Publ Hlth & Clin Med, Umea, Sweden.;Harvard Sch Publ Hlth, Dept Nutr, Boston, MA 02115 USA.(Swepub:umu)pafr0003 (author)
- Genetisk och molekylär epidemiologiForskargrupper vid Lunds universitet (creator_code:org_t)
Related titles
- In:Scientific Reports: Springer Science and Business Media LLC62045-2322
Internet link
- http://dx.doi.org/10.1038/srep37307FULLTEXT
- https://www.nature.com/articles/srep37307.pdf
- https://doi.org/10.1038/srep37307Fulltext
- https://umu.diva-portal.org/smash/get/diva2:1061374/FULLTEXT01.pdffulltext:print
- https://uu.diva-portal.org/smash/get/diva2:1059260/FULLTEXT01.pdffulltext:print
- https://lup.lub.lu.se/record/c0af82c1-9034-4586-9da7-8f6303c26195
- https://doi.org/10.1038/srep37307
- https://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-128954
- https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-311186
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