scispace - formally typeset
M

Meena Kumari

Researcher at University of Essex

Publications -  434
Citations -  57017

Meena Kumari is an academic researcher from University of Essex. The author has contributed to research in topics: Population & Genome-wide association study. The author has an hindex of 97, co-authored 407 publications receiving 49488 citations. Previous affiliations of Meena Kumari include Kansas State University & University of Copenhagen.

Papers
More filters

Genetic studies of body mass index yield new insights for obesity biology

Adam E. Locke, +481 more
TL;DR: This paper conducted a genome-wide association study and meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals.
Journal ArticleDOI

Discovery and refinement of loci associated with lipid levels

Cristen J. Willer, +319 more
- 06 Oct 2013 - 
TL;DR: It is found that loci associated with blood lipid levels are often associated with cardiovascular and metabolic traits, including coronary artery disease, type 2 diabetes, blood pressure, waist-hip ratio and body mass index.
Journal ArticleDOI

New genetic loci implicated in fasting glucose homeostasis and their impact on type 2 diabetes risk

Josée Dupuis, +339 more
- 01 Feb 2010 - 
TL;DR: It is demonstrated that genetic studies of glycemic traits can identify type 2 diabetes risk loci, as well as loci containing gene variants that are associated with a modest elevation in glucose levels but are not associated with overt diabetes.
Journal ArticleDOI

A genome-wide association search for type 2 diabetes genes in African Americans.

Nichole D. Palmer, +384 more
- 04 Jan 2012 - 
TL;DR: It is suggested that multiple loci underlie T2DM susceptibility in the African-American population and that these loci are distinct from those identified in other ethnic populations.
Journal ArticleDOI

Defining the role of common variation in the genomic and biological architecture of adult human height

Andrew R. Wood, +444 more
- 01 Nov 2014 - 
TL;DR: This article identified 697 variants at genome-wide significance that together explained one-fifth of the heritability for adult height, and all common variants together captured 60% of heritability.