Bivariate Trait Analysis
Bivariate Trait Analysis is a statistical methodology within quantitative genetic analysis that specifically examines the covariation between two traits simultaneously to infer shared genetic or environmental influences, distinguished from univariate or multivariate approaches by its focus on exactly two phenotypic traits.
63
Publications
2.7K
Citations
284
Authors
135
Institutions
Publications per year
2017–2026
11
63
Jac Charlesworth, Patricia L. Kramer, Tom Dyer et al. · Investigative Ophthalmology & Visual Science · 2010 · 117 citations · Full text
Plasma Lipidomic Profile Signature of Hypertension in Mexican American Families
Hemant Kulkarni, Peter J. Meikle, Manju Mamtani et al. · Hypertension · 2013 · 96 citations
1–5 of 63
284
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5
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The University of Texas Rio Grande Valley, United States
4 publications · 164 citations
4
h-index
1–5 of 284
135
Texas Biomedical Research Institute
San Antonio, United States
8 h-index
39 publications
2.5K citations
Wageningen University & Research
Wageningen, The Netherlands
5 h-index
12 publications
448 citations
Baker Heart and Diabetes Institute
Melbourne, Australia
3 h-index
23 publications
1.6K citations

University of Tasmania
Hobart, Australia
2 h-index
2 publications
128 citations

The University of Melbourne
Melbourne, Australia
2 h-index
3 publications
229 citations

Wake Forest University
Winston-Salem, United States
2 h-index
3 publications
158 citations
University of North Carolina at Chapel Hill
Chapel Hill, United States
2 h-index
4 publications
44 citations

The University of Western Australia
Perth, Australia
2 h-index
6 publications
442 citations
1–8 of 135
7 publications · 622 citations
7
h-index
5 publications · 232 citations
5
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4 publications · 90 citations
4
h-index
2 publications · 77 citations
2
h-index
2 publications · 56 citations
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1–5