Leveraging Family History in Case-Control Analyses of Rare Variation. Issue 2 (1st February 2020)
- Record Type:
- Journal Article
- Title:
- Leveraging Family History in Case-Control Analyses of Rare Variation. Issue 2 (1st February 2020)
- Main Title:
- Leveraging Family History in Case-Control Analyses of Rare Variation
- Authors:
- Solis-Lemus, Claudia R
Fischer, S Taylor
Todor, Andrei
Liu, Cuining
Leslie, Elizabeth J
Cutler, David J
Ghosh, Debashis
Epstein, Michael P - Abstract:
- Abstract: Standard methods for case-control association studies of rare and common variation often treat disease outcome as a dichotomous phenotype. However, recent studies have demonstrated that cases with a family history of disease can be enriched... Standard methods for case-control association studies of rare variation often treat disease outcome as a dichotomous phenotype. However, both theoretical and experimental studies have demonstrated that subjects with a family history of disease can be enriched for risk variation relative to subjects without such history. Assuming family history information is available, this observation motivates the idea of replacing the standard dichotomous outcome variable used in case-control studies with a more informative ordinal outcome variable that distinguishes controls (0), sporadic cases (1), and cases with a family history (2), with the expectation that we should observe increasing number of risk variants with increasing category of the ordinal variable. To leverage this expectation, we propose a novel rare-variant association test that incorporates family history information based on our previous GAMuT framework for rare-variant association testing of multivariate phenotypes. We use simulated data to show that, when family history information is available, our new method outperforms standard rare-variant association methods, like burden and SKAT tests, that ignore family history. We further illustrate our method using aAbstract: Standard methods for case-control association studies of rare and common variation often treat disease outcome as a dichotomous phenotype. However, recent studies have demonstrated that cases with a family history of disease can be enriched... Standard methods for case-control association studies of rare variation often treat disease outcome as a dichotomous phenotype. However, both theoretical and experimental studies have demonstrated that subjects with a family history of disease can be enriched for risk variation relative to subjects without such history. Assuming family history information is available, this observation motivates the idea of replacing the standard dichotomous outcome variable used in case-control studies with a more informative ordinal outcome variable that distinguishes controls (0), sporadic cases (1), and cases with a family history (2), with the expectation that we should observe increasing number of risk variants with increasing category of the ordinal variable. To leverage this expectation, we propose a novel rare-variant association test that incorporates family history information based on our previous GAMuT framework for rare-variant association testing of multivariate phenotypes. We use simulated data to show that, when family history information is available, our new method outperforms standard rare-variant association methods, like burden and SKAT tests, that ignore family history. We further illustrate our method using a rare-variant study of cleft lip and palate. … (more)
- Is Part Of:
- Genetics. Volume 214:Issue 2(2020)
- Journal:
- Genetics
- Issue:
- Volume 214:Issue 2(2020)
- Issue Display:
- Volume 214, Issue 2 (2020)
- Year:
- 2020
- Volume:
- 214
- Issue:
- 2
- Issue Sort Value:
- 2020-0214-0002-0000
- Page Start:
- 295
- Page End:
- 303
- Publication Date:
- 2020-02-01
- Subjects:
- rare variant -- gene mapping -- complex human traits
Genetics -- Periodicals
576.5 - Journal URLs:
- http://www.oxfordjournals.org/ ↗
- DOI:
- 10.1534/genetics.119.302846 ↗
- Languages:
- English
- ISSNs:
- 0016-6731
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25336.xml