Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation

Search Page

Filters

My NCBI Filters

Results by year

Table representation of search results timeline featuring number of search results per year.

Year Number of Results
2015 1
2016 1
2017 1
2023 0

Text availability

Article attribute

Article type

Publication date

Search Results

2 results

Results by year

Citations

1 article found by citation matching

Search results

Filters applied: . Clear all
Page 1
Identifying gene-gene interactions that are highly associated with four quantitative lipid traits across multiple cohorts.
De R, Verma SS, Holzinger E, Hall M, Burt A, Carrell DS, Crosslin DR, Jarvik GP, Kuivaniemi H, Kullo IJ, Lange LA, Lanktree MB, Larson EB, North KE, Reiner AP, Tragante V, Tromp G, Wilson JG, Asselbergs FW, Drenos F, Moore JH, Ritchie MD, Keating B, Gilbert-Diamond D. De R, et al. Hum Genet. 2017 Feb;136(2):165-178. doi: 10.1007/s00439-016-1738-7. Epub 2016 Nov 15. Hum Genet. 2017. PMID: 27848076
Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor dimensionality reduction (QMDR) algorithm with two SNP-filtering methods to exhaustively search for SNP-SNP interactions …
Using the genetic data from five NHLBI cohorts of 24,837 individuals, we combined the use of the quantitative multifactor d …
Identifying gene-gene interactions that are highly associated with Body Mass Index using Quantitative Multifactor Dimensionality Reduction (QMDR).
De R, Verma SS, Drenos F, Holzinger ER, Holmes MV, Hall MA, Crosslin DR, Carrell DS, Hakonarson H, Jarvik G, Larson E, Pacheco JA, Rasmussen-Torvik LJ, Moore CB, Asselbergs FW, Moore JH, Ritchie MD, Keating BJ, Gilbert-Diamond D. De R, et al. BioData Min. 2015 Dec 14;8:41. doi: 10.1186/s13040-015-0074-0. eCollection 2015. BioData Min. 2015. PMID: 26674805 Free PMC article.
BACKGROUND: Despite heritability estimates of 40-70 % for obesity, less than 2 % of its variation is explained by Body Mass Index (BMI) associated loci that have been identified so far. ...Filtered SNPs were specifically analyzed for interact …
BACKGROUND: Despite heritability estimates of 40-70 % for obesity, less than 2 % of its variation is explained by Body Mass …