Genomics & Informatics

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Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index

Sunghwan Bae, Sungkyoung Choi, Sung Min Kim, Taesung Park

Genomics Inform. 2016;14(4):149-159. Published online December 30, 2016
DOI: https://doi.org/10.5808/GI.2016.14.4.149

Prediction of Quantitative Traits Using Common Genetic Variants: Application to Body Mass Index

Sunghwan Bae, Sungkyoung Choi, Sung Min Kim, Taesung Park

Genomics & Informatics. 2016;14(4):149

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Body Mass Index and Healthcare Costs: Using Genetic Variants from the HUNT Study as Instrumental Variables

Christina Hansen Edwards, Gunnhild Åberge Vie, Christina Hansen Edwards

. 2021;

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Rare and Common Genetic Variants, Smoking, and Body Mass Index: Progression and Earlier Age of Developing Advanced Age-Related Macular Degeneration

Johanna M. Seddon, Rafael Widjajahakim, Bernard Rosner

Investigative Opthalmology & Visual Science. 2020;61(14):32

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Body mass index and healthcare costs: using genetic variants from the HUNT study as instrumental variables

Christina Hansen Edwards, Gunnhild Åberge Vie, Jonas Minet Kinge

BMC Health Services Research. 2022;22(1):

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Detecting the Common and Individual Effects of Rare Variants on Quantitative Traits by Using Extreme Phenotype Sampling

Ya-Jing Zhou, Yong Wang, Li-Li Chen

Genes. 2016;7(1):2

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MF‐TOWmuT: Testing an optimally weighted combination of common and rare variants with multiple traits using family data

Cheng Gao, Qiuying Sha, Shuanglin Zhang, Kui Zhang

Genetic Epidemiology. 2020;45(1):64-81

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The relationship between body mass index and income: Using genetic variants from HUNT as instrumental variables

Christina Hansen Edwards, Johan Håkon Bjørngaard, Jonas Minet Kinge

Health Economics. 2021;30(8):1933-1949

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Meal Frequencies Modify the Effect of Common Genetic Variants on Body Mass Index in Adolescents of the Northern Finland Birth Cohort 1986

Anne Jääskeläinen, Ursula Schwab, Marjukka Kolehmainen, Marika Kaakinen, Markku J. Savolainen, Philippe Froguel, Stéphane Cauchi, Marjo-Riitta Järvelin, Jaana Laitinen

PLoS ONE. 2013;8(9):e73802

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A Support Vector Regression Based Model for the Quantitative Prediction of Age and Body Mass Index by using Epigenetic Information from Peripheral Blood

Ferdi Sarac, Huseyin Seker, Ahmed Bouridane

Proceedings of the 2017 International Conference on Cloud and Big Data Computing - ICCBDC 2017. 2017;

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Genetic analysis of a common oligogenic trait with quantitative correlates: Summary of GAW9 results

J. Blangero

Genetic Epidemiology. 1995;12(6):689-706

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