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Using Multivariate Statistics

https://www.thelancet.com/pdfs/journals/lancet/PIIS0140-6736(12)61766-8.pdf

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010

So far in this course we have dealt entirely with the evolution of characters that are controlled by simple Mendelian inheritance at a single locus. There are notes on the course website about gametic disequilibrium and how allele frequencies change at two loci simultaneously, but we didn’t discuss them. In every example we’ve considered we’ve imagined that we could understand something about evolution by examining the evolution of a single gene. That’s the domain of classical population genetics. For the next few weeks we’re going to be exploring a field that’s actually older than classical population genetics, although the approach we’ll be taking to it involves the use of population genetic machinery. If you know a little about the history of evolutionary biology, you may know that after the rediscovery of Mendel’s work in 1900 there was a heated debate between the “biometricians” (e.g., Galton and Pearson) and the “Mendelians” (e.g., de Vries, Correns, Bateson, and Morgan). Biometricians asserted that the really important variation in evolution didn’t follow Mendelian rules. Height, weight, skin color, and similar traits seemed to

Human biochemical genetics

Background: The American Heart Association, in conjunction with the National Institutes of Health, annually reports on the most up-to-date statistics related to heart disease, stroke, and cardiovas...

Heart Disease and Stroke Statistics—2020 Update: A Report From the American Heart Association

This study describes and validates a new method for metagenomic biomarker discovery by way of class comparison, tests of biological consistency and effect size estimation. This addresses the challenge of finding organisms, genes, or pathways that consistently explain the differences between two or more microbial communities, which is a central problem to the study of metagenomics. We extensively validate our method on several microbiomes and a convenient online interface for the method is provided at http://huttenhower.sph.harvard.edu/lefse/.

Metagenomic biomarker discovery and explanation

Reply: To PMID 23943579.

Response to ‘Maternal obesity, gestational weight gain and childhood cardiac outcome at age 6 years’

Background: The role of sex and puberty on respiratory outcomes is not fully clear. We aimed to examine if sex and puberty are associated with respiratory outcomes in children. Method: This study including 3,418 children and their mothers was embedded in a population-based cohort study. Information on sex was obtained at birth. At age 13 ys, low, mid, and high puberty stages (Tanner stage 1-2, 3-4, and 5, respectively) were based on pubic hair, breast(girls only), and genital(boys only) development. Questionnaires provided information on wheezing from birth until age 13ys and current asthma at age 13ys. Lung function was measured by spirometry at age 13ys. All associations were adjusted for height gain between ages 9 and 13ys. Results: Girls had a consistently lower risk of wheezing from birth until age 13ys (OR(95%CI) range:0.66(0.55,0.80) to 0.12(0.10,0.15)), and tended to have a lower risk of current asthma (0.82(0.61,1.20), compared to boys. Adolescent girls with a high puberty stage of breast development had higher FEV1, FVC and FEF75, compared to those with a low puberty stage (z score difference (95%CI):0.20(0.05,0.35), 0.19(0.04,0.33),and 0.17(0.01,0.34), respectively). Adolescent boys with a high genital puberty stage had a higher FEV1 and FVC(0.20(0.02,0.40)and 0.18(0.01,0.36)). Adolescent girls and boys with a high puberty stage of pubic hair had higher FEV1 and FEF75, and FEV1 and FVC, respectively. Mid puberty stage wasn’t consistently associated with respiratory outcomes. Conclusion: Girls have a lower risk of wheezing from birth until age 13ys than boys. At school-age, no sex-change in wheezing/asthma prevalence was found during puberty. In addition, girls and boys with a greater puberty maturation had a higher lung function.

Role of sex and puberty on respiratory outcomes

Birth and the neonatal period

Television Viewing and Externalizing Problems in Preschool Children

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