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Our study aimed to obtain a comprehensive insight into the etiology of nephrotic syndrome in our patient population. We analyzed medical records of 290 patients with diagnosis of nephrotic syndrome as defined by International Study of Kidney Disease in Children (ISKDC), between January 1987 and December 2000, at the Sher-I-Kashmir Institute of Medical Sciences, Soura, Srinagar. Primary glomerular disease was found to be the most prevalent, accounting for 91.73% of all glomerular diseases. Among primary glomerular diseases, minimal change disease (MCD) was the most common histological lesion (43.79%). Most patients presented within 3 months duration (61.4%) and the most common symptom was puffiness of face (98.45%) followed by pedal edema (91%). Focal segmental glomerulosclerosis (FSGS) was the second most common lesion (16.89%) followed by membranous glomerulonephritis (GN) (13.4%) and membranoproliferative GN (11.72%). Amongst secondary glomerular diseases, diabetes mellitus was the most prevalent (4.48%), followed by lupus nephritis (3.1%). In conclusion, primary glomerular diseases constituted the most common group encountered and the prevalence of MCD was quite high with males, children and young adults. FSGS was associated with a high prevalence of end-stage renal disease (ESRD; 26.53%), hypertension (71.42%) and hematuria (81.63%).

The north-western Indian Himalayas possesses vast diversity in common bean germplasm due to several years of natural adaptation and farmer’s selection. Systematic efforts have been made for the first time for the characterization and use of this huge diversity for the identification of genes/quantitative trait loci (QTLs) for yield and yield-contributing traits in common bean in India. A core set of 96 diverse common bean genotypes was characterized using 91 genome-wide genomic and genic simple sequence repeat (SSR) markers. The study of genetic diversity led to the identification of 691 alleles ranging from 2 to 21 with an average of 7.59 alleles/locus. The gene diversity (expected heterozygosity, He) varied from 0.31 to 0.93 with an average of 0.73. As expected, the genic SSR markers detected less allelic diversity than the random genomic SSR markers. The traditional clustering and Bayesian clustering (structural analysis) analyses led to a clear cut separation of a core set of 96 genotypes into two distinct groups based on their gene pools (Mesoamerican and Andean genotypes). Genome-wide association mapping for pods/plant, seeds/pod, seed weight, and yield/plant led to the identification of 39 significant marker–trait associations (MTAs) including 15 major, 15 stable, and 13 both major and stable MTAs. Out of 39 MTAs detected, 29 were new MTAs reported for the first time, whereas the remaining 10 MTAs were already identified in earlier studies and therefore declared as validation of earlier results. A set of seven markers was such, which were found to be associated with multiple (two to four) different traits. The important MTAs will be used for common bean molecular breeding programs worldwide for enhancing common bean yield.

Thirteen common bean (Phaseolus vulgaris) accessions collected from different ecological regions of Jammu and Kashmir were evaluated at four diverse locations during kharief 2009. Significant variation was observed for most of the morphological traits. Estimates of heritability (bs) were high (>60 %) for all the traits except pod length. The expected genetic gain (per cent of mean) was high (>30 %) for days to maturity, number of pods plant-1, number of seeds pod-1, 100-seed weight and seed yield plant-1 while it was moderate (10.0-30.0%) for days to 50 per cent flowering, number of branches plant-1, pod length and protein content. Seed yield plant-1 was observed to have a highly positive and significant correlation both at phenotypic and genotypic levels with number of pods plant-1, pod length, number of seeds pod-1 and 100-seed weight. But negative and significant correlations with days to 50 per cent flowering and days to maturity were estimated from pooled analysis. Classification of accessions led to the formation of two clusters wherein the maximum number 7 accessions were grouped in cluster I and the remaining six were grouped in cluster II. Analysis of traits contributing maximum to the divergence revealed that traits viz., 100-seed weight (37.10%), protein content (15.26%), number of seeds pod-1 (11.28%) and days to maturity (10.14%) to contribute to the divergence in the present experimental material.