scispace - formally typeset
Search or ask a question
Institution

Medical Research Council

GovernmentLondon, United Kingdom
About: Medical Research Council is a government organization based out in London, United Kingdom. It is known for research contribution in the topics: Population & Malaria. The organization has 16430 authors who have published 19150 publications receiving 1475494 citations.
Topics: Population, Malaria, Poison control, Gene, Antigen


Papers
More filters
Journal ArticleDOI
TL;DR: A new method is introduced, stratified LD score regression, for partitioning heritability from GWAS summary statistics while accounting for linked markers, which is computationally tractable at very large sample sizes and leverages genome-wide information.
Abstract: Recent work has demonstrated that some functional categories of the genome contribute disproportionately to the heritability of complex diseases. Here we analyze a broad set of functional elements, including cell type-specific elements, to estimate their polygenic contributions to heritability in genome-wide association studies (GWAS) of 17 complex diseases and traits with an average sample size of 73,599. To enable this analysis, we introduce a new method, stratified LD score regression, for partitioning heritability from GWAS summary statistics while accounting for linked markers. This new method is computationally tractable at very large sample sizes and leverages genome-wide information. Our findings include a large enrichment of heritability in conserved regions across many traits, a very large immunological disease-specific enrichment of heritability in FANTOM5 enhancers and many cell type-specific enrichments, including significant enrichment of central nervous system cell types in the heritability of body mass index, age at menarche, educational attainment and smoking behavior.

1,939 citations

12 Jun 2003

1,911 citations

Journal ArticleDOI
TL;DR: This article explored the hypothesis that immediate memory span is not constant, but varies with the length of the words to be recalled, finding that words of short temporal duration are better recalled than words of long duration.

1,892 citations

Book
01 Jan 1971

1,883 citations

Journal ArticleDOI
TL;DR: The combination of small size at birth and during infancy, followed by accelerated weight gain from age 3 to 11 years, predicts large differences in the cumulative incidence of CHD, type 2 diabetes and hypertension.
Abstract: Background Low birthweight has been consistently shown to be associated with coronary heart disease (CHD) and its biological risk factors. The effects of low birthweight are increased by slow infant growth and rapid weight gain in childhood. To quantify the importance of developmental processes in the genesis of CHD it is necessary to establish the impact of fetal, infant and childhood growth on major pathological events in later life-death, hospital treatment and the need for medication. Methods Longitudinal study of 13 517 men and women who were born in Helsinki University Hospital during 1924-1944, whose body sizes at birth and during childhood were recorded, and in whom deaths, hospital admissions, and prescription of medication for chronic disease are documented. Results The combination of small size at birth and during infancy, followed by accelerated weight gain from age 3 to 11 years, predicts large differences in the cumulative incidence of CHD, type 2 diabetes and hypertension. Conclusions Coronary heart disease and type 2 diabetes may originate through two widespread biological phenomena-developmental plasticity and compensatory growth.

1,872 citations


Authors

Showing all 16441 results

NameH-indexPapersCitations
Shizuo Akira2611308320561
Trevor W. Robbins2311137164437
Richard A. Flavell2311328205119
George Davey Smith2242540248373
Nicholas J. Wareham2121657204896
Cyrus Cooper2041869206782
Martin White1962038232387
Frank E. Speizer193636135891
Michael Rutter188676151592
Richard Peto183683231434
Terrie E. Moffitt182594150609
Kay-Tee Khaw1741389138782
Chris D. Frith173524130472
Phillip A. Sharp172614117126
Avshalom Caspi170524113583
Network Information
Related Institutions (5)
National Institutes of Health
297.8K papers, 21.3M citations

94% related

University of California, San Francisco
186.2K papers, 12M citations

92% related

Karolinska Institutet
121.1K papers, 6M citations

92% related

French Institute of Health and Medical Research
174.2K papers, 8.3M citations

92% related

Johns Hopkins University School of Medicine
79.2K papers, 4.7M citations

92% related

Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20236
20229
2021262
2020243
2019231
2018309