Meeting of the Joint Distribution Committee and the Executive Committee of the American Jewish Relief Committee 1918 in New York

Reproduction of a painting of a meeting of the Joint Distribution Committee (representing the American Jewish Relief Committee, the Central Rellief Committee and the People's Relief Committee) and the Executive Committee of the American Jewish Relief Committee, with chairman Felix Warburg, secretary Albert Lucas, stenographer Mrs. F. Friedman, executive director Boris Bogen, comptroller Harriet Lowenstein, associate treasurer Paul Baerwald and treasurer Arthur Lehman; Office of Mr. Felix M. Warburg, 52 William Street, New York

Therese Godshaw's nee Molling 70th birthday party at the Krakauer home; Boston Portraits Family

Left to right behind table: John Krakauer, Donald, Michael and Robert Godshaw (Children of Hal and Anne), Grandma Therese Godshaw nee Molling, Julius Pick (Grandfather of Robert, Michael and Donald). In front of table: Wendy and Gerry Godshaw (children of Kurt and Edith.

Outdoor family portrait after the memorial services for Therese Godshaw nee Molling at Hal Godshaws house; Argonne Drive, Kenmore, New York.

Front row from left to right: Robert Godshaw, Wendy Godshaw, Rosel Pick (Anne Godshaw's mother), Debbie Godshaw born Mariner, Hal Godshaaw, Francis Schlosstein; 2nd row from left to right: David Dysert, Mickey Sloan born McMath, Edith Godshaw nee Osterer, baby (probably Gary Godshaw), Anne Godshaw born Pick, Julius Pick (Anne's father), Ursula Schlosstein born Gottschalk, Elizabeth Krakauer nee Gottschalk, Michael Godshaw; back row from left to right: Charles (Karl-Hermann Solomon) Sloan, Gerald Godshaw (partially hidden), unknown (probably Peter Godshaw), Kurt Godshaw, John Krakauer, Donald Godshaw, Tom Krakauer, Ralph Schlosstein, John Schlosstein.

Outdoor family portrait after the memorial services for Therese Godshaw nee Molling at Hal Godshaws house; Argonne Drive, Kenmore, New York.

Front row from left to right: Robert Godshaw, Wendy Godshaw, Rosel Pick (Anne Godshaw's mother), Debbie Godshaw born Mariner, Hal Godshaaw, Francis Schlosstein; 2nd row from left to right: David Dysert, Mickey Sloan born McMath, Edith Godshaw nee Osterer, baby (probably Gary Godshaw), Anne Godshaw born Pick, Julius Pick (Anne's father), Ursula Schlosstein born Gottschalk, Elizabeth Krakauer nee Gottschalk, Michael Godshaw; back row from left to right: Charlie Sloan, Gerald Godshaw (partially hidden), unknown, Kurt Godshaw, John Krakauer, Donald Godshaw, Tom Krakauer, Ralph Schlosstein, John Schlosstein.

New genetic loci link adipose and insulin biology to body fat distribution

Body fat distribution is a heritable trait and a well-established predictor of adverse metabolic outcomes, independent of overall adiposity. To increase our understanding of the genetic basis of body fat distribution and its molecular links to cardiometabolic traits, here we conduct genome-wide association meta-analyses of traits related to waist and hip circumferences in up to 224,459 individuals. We identify 49 loci (33 new) associated with waist-to-hip ratio adjusted for body mass index (BMI), and an additional 19 loci newly associated with related waist and hip circumference measures (P < 5 × 10−8). In total, 20 of the 49 waist-to-hip ratio adjusted for BMI loci show significant sexual dimorphism, 19 of which display a stronger effect in women. The identified loci were enriched for genes expressed in adipose tissue and for putative regulatory elements in adipocytes. Pathway analyses implicated adipogenesis, angiogenesis, transcriptional regulation and insulin resistance as processes affecting fat distribution, providing insight into potential pathophysiological mechanisms.

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

Obesity is heritable and predisposes to many diseases. To understand the genetic basis of obesity better, here we conduct a genome-wide association study and Metabochip meta-analysis of body mass index (BMI), a measure commonly used to define obesity and assess adiposity, in up to 339,224 individuals. This analysis identifies 97 BMI-associated loci (P < 5 × 10−8), 56 of which are novel. Five loci demonstrate clear evidence of several independent association signals, and many loci have significant effects on other metabolic phenotypes. The 97 loci account for ~2.7% of BMI variation, and genome-wide estimates suggest that common variation accounts for >20% of BMI variation. Pathway analyses provide strong support for a role of the central nervous system in obesity susceptibility and implicate new genes and pathways, including those related to synaptic function, glutamate signalling, insulin secretion/action, energy metabolism, lipid biology and adipogenesis.

FTO genotype is associated with phenotypic variability of body mass index

There is evidence across several species for genetic control of phenotypic variation of complex traits1, 2, 3, 4, such that the variance among phenotypes is genotype dependent. Understanding genetic control of variability is important in evolutionary biology, agricultural selection programmes and human medicine, yet for complex traits, no individual genetic variants associated with variance, as opposed to the mean, have been identified. Here we perform a meta-analysis of genome-wide association studies of phenotypic variation using ~170,000 samples on height and body mass index (BMI) in human populations. We report evidence that the single nucleotide polymorphism (SNP) rs7202116 at the FTO gene locus, which is known to be associated with obesity (as measured by mean BMI for each rs7202116 genotype)5, 6, 7, is also associated with phenotypic variability. We show that the results are not due to scale effects or other artefacts, and find no other experiment-wise significant evidence for effects on variability, either at loci other than FTO for BMI or at any locus for height. The difference in variance for BMI among individuals with opposite homozygous genotypes at the FTO locus is approximately 7%, corresponding to a difference of ~0.5 kilograms in the standard deviation of weight. Our results indicate that genetic variants can be discovered that are associated with variability, and that between-person variability in obesity can partly be explained by the genotype at the FTO locus. The results are consistent with reported FTO by environment interactions for BMI8, possibly mediated by DNA methylation9, 10. Our BMI results for other SNPs and our height results for all SNPs suggest that most genetic variants, including those that influence mean height or mean BMI, are not associated with phenotypic variance, or that their effects on variability are too small to detect even with samples sizes greater than 100,000.

Barley Grains Defects (Blackpoint, Pre-harvest sprouting, Kernal staining)

Screening new and existing breeding germplasm and cultivars for grain defect tolerance for breeding programs, evaluate new methods and technologies to screen more effectively for the barley grains defects - pre-harvest sprouting, blackpoint, kernel discolouration, and investigate genetic mechanisms involved in controlling barley grain defect tolerance.

Multispectral imaging and genomic mapping

Identifying QTLs linked to malting and protein levels in barley using multispectral image data.

Single kernel NIR assessment for QTL identification

Development and evaluation of a single kernel NIR assessment method for improving baley malting quality QTL identification.

Therese Godshaw's nee Molling 70th birthday party at the Krakauer home; Boston Portraits Family

Left to right behind table: John Krakauer, Donald, Michael and Robert Godshaw (Children of Hal and Anne), Grandma Therese Godshaw nee Molling, Julius Pick (Grandfather of Robert, Michael and Donald). In front of table: Wendy and Gerry Godshaw (children of Kurt and Edith.

Outdoor family portrait after the memorial services for Therese Godshaw nee Molling at Hal Godshaws house; Argonne Drive, Kenmore, New York.

Front row from left to right: Robert Godshaw, Wendy Godshaw, Rosel Pick (Anne Godshaw's mother), Debbie Godshaw born Mariner, Hal Godshaaw, Francis Schlosstein; 2nd row from left to right: David Dysert, Mickey Sloan born McMath, Edith Godshaw nee Osterer, baby (probably Gary Godshaw), Anne Godshaw born Pick, Julius Pick (Anne's father), Ursula Schlosstein born Gottschalk, Elizabeth Krakauer nee Gottschalk, Michael Godshaw; back row from left to right: Charlie Sloan, Gerald Godshaw (partially hidden), unknown, Kurt Godshaw, John Krakauer, Donald Godshaw, Tom Krakauer, Ralph Schlosstein, John Schlosstein.

Risk-based surveillance for avian influenza control along poultry market chains in South China: The value of social network analysis.

Over the past two decades, the poultry sector in China went through a phase of tremendous growth as well as rapid intensification and concentration. Highly pathogenic avian influenza virus (HPAIV) subtype H5N1 was first detected in 1996 in Guangdong province, South China and started spreading throughout Asia in early 2004. Since then, control of the disease in China has relied heavily on wide-scale preventive vaccination combined with movement control, quarantine and stamping out. This strategy has been successful in drastically reducing the number of outbreaks during the past 5 years. However, HPAIV H5N1 is still circulating and is regularly isolated in traditional live bird markets (LBMs) where viral infection can persist, which represent a public health hazard for people visiting them. The use of social network analysis in combination with epidemiological surveillance in South China has identified areas where the success of current strategies for HPAI control in the poultry production sector may benefit from better knowledge of poultry trading patterns and the LBM network configuration as well as their capacity for maintaining HPAIV H5N1 infection. We produced a set of LBM network maps and estimated the associated risk of HPAIV H5N1 within LBMs and along poultry market chains, providing new insights into how live poultry trade and infection are intertwined. More specifically, our study provides evidence that several biosecurity factors such as daily cage cleaning, daily cage disinfection or manure processing contribute to a reduction in HPAIV H5N1 presence in LBMs. Of significant importance is that the results of our study also show the association between social network indicators and the presence of HPAIV H5N1 in specific network configurations such as the one represented by the counties of origin of the birds traded in LBMs. This new information could be used to develop more targeted and effective control interventions.

Meta-analysis identifies 13 new loci associated with waist-hip ratio and reveals sexual dimorphism in the genetic basis of fat distribution

Waist-hip ratio (WHR) is a measure of body fat distribution and a predictor of metabolic consequences independent of overall adiposity. WHR is heritable, but few genetic variants influencing this trait have been identified. We conducted a meta-analysis of 32 genome-wide association studies for WHR adjusted for body mass index (comprising up to 77,167 participants), following up 16 loci in an additional 29 studies (comprising up to 113,636 subjects). We identified 13 new loci in or near RSPO3, VEGFA, TBX15-WARS2, NFE2L3, GRB14, DNM3-PIGC, ITPR2-SSPN, LY86, HOXC13, ADAMTS9, ZNRF3-KREMEN1, NISCH-STAB1 and CPEB4 (P = 1.9 × 10−9 to P = 1.8 × 10−40) and the known signal at LYPLAL1. Seven of these loci exhibited marked sexual dimorphism, all with a stronger effect on WHR in women than men (P for sex difference = 1.9 × 10−3 to P = 1.2 × 10−13). These findings provide evidence for multiple loci that modulate body fat distribution independent of overall adiposity and reveal strong gene-by-sex interactions.

Single household domestic water heater design and control utilising PV energy: The untapped energy storage solution

Photovoltaic (PV) panels and electric domestic water heater with storage (DWH) are widely used in households in many countries. However, DWH should be explored as an energy storage mechanism before batteries when households have excess PV energy. Through a residential case study in Queensland, Australia, this paper presents a new optimized design and control solution to reduce water heating costs by utilizing existing DWH energy storage capacity and increasing PV self-consumption for water heating. The solution is produced by evaluating the case study energy profile and numerically maximizing the use of PV for DWH. A conditional probability matrix for different solar insolation and hot water usage days is developed to test the solution. Compared to other tariffs, this solution shows cost reduction from 20.8% to 63.3% This new solution could encourage solar households move to a more economical and carbon neutral water heating method.