**BACKGROUND: **Despite the existing literature on the central role of socioeconomic status (SES; education and income) for maintaining health, less is known about group differences in this effect. Built on the intersectionality approach, this study compared race by gender groups for the effects of baseline education and income on sustained health problems in five domains: depressive symptoms, insomnia, physical inactivity, body mass index (BMI), and self-rated health (SRH).

**METHODS: **Data came from waves 7, 8, and 10 of the Health and Retirement Study (HRS), which were collected in 2004, 2006, and 2010, respectively. The study followed 37,495 white and black men and women above age 50 for up to 6 years. This number included 12,495 white men, 15,581 white women, 3839 black men, and 5580 black women. Individuals reported their depressive symptoms (Center for Epidemiological Studies-Depression (CES-D) 11), insomnia, physical inactivity, BMI, and SRH across all waves. Multigroup structural equation modeling (SEM) was used to compare black men, black women, white men, and white women for the effects of education and income in 2004 on sustained health problems from 2004 to 2010.

**RESULTS: **In the pooled sample, higher education and income at baseline were associated with lower sustained health problems across all five domains. However, race by gender group differences were found in the effects of education and income on sustained insomnia, physical inactivity, and BMI, but not depressive symptoms and SRH. The protective effects of education against insomnia, physical inactivity, and BMI were not found for black men. For black women, the effect of education on BMI was not found. Income had a protective effect against sustained high BMI among white and black women but not white and black men.

**CONCLUSION: **The intersection of race and gender alters the protective effects of social determinants on sustained health problems such as insomnia, physical inactivity, and BMI. Social groups particularly vary in the operant mechanisms by which SES contributes to maintaining health over time. The health effects are less universal for education than income. Race by gender groups differ more in SES determinants of BMI, insomnia, and physical inactivity than depressive symptoms and SRH.

Polymorphisms rs6232 and rs6234/rs6235 in PCSK1 have been associated with extreme obesity [e.g. body mass index (BMI) ≥ 40 kg/m(2)], but their contribution to common obesity (BMI ≥ 30 kg/m(2)) and BMI variation in a multi-ethnic context is unclear. To fill this gap, we collected phenotypic and genetic data in up to 331 175 individuals from diverse ethnic groups. This process involved a systematic review of the literature in PubMed, Web of Science, Embase and the NIH GWAS catalog complemented by data extraction from pre-existing GWAS or custom-arrays in consortia and single studies. We employed recently developed global meta-analytic random-effects methods to calculate summary odds ratios (OR) and 95% confidence intervals (CIs) or beta estimates and standard errors (SE) for the obesity status and BMI analyses, respectively. Significant associations were found with binary obesity status for rs6232 (OR = 1.15, 95% CI 1.06-1.24, P = 6.08 × 10(-6)) and rs6234/rs6235 (OR = 1.07, 95% CI 1.04-1.10, P = 3.00 × 10(-7)). Similarly, significant associations were found with continuous BMI for rs6232 (β = 0.03, 95% CI 0.00-0.07; P = 0.047) and rs6234/rs6235 (β = 0.02, 95% CI 0.00-0.03; P = 5.57 × 10(-4)). Ethnicity, age and study ascertainment significantly modulated the association of PCSK1 polymorphisms with obesity. In summary, we demonstrate evidence that common gene variation in PCSK1 contributes to BMI variation and susceptibility to common obesity in the largest known meta-analysis published to date in genetic epidemiology.

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Bottinger A1 - Bouchard, Claude A1 - Cauchi, Stéphane A1 - Chambers, John C A1 - Chanock, Stephen J A1 - Cooper, Richard S A1 - de Bakker, Paul I W A1 - George Dedoussis A1 - Luigi Ferrucci A1 - Franks, Paul W A1 - Froguel, Philippe A1 - Groop, Leif C A1 - Haiman, Christopher A A1 - Hamsten, Anders A1 - Hui, Jennie A1 - Hunter, David J A1 - Hveem, Kristian A1 - Kaplan, Robert C A1 - Mika Kivimaki A1 - Kuh, Diana A1 - Laakso, Markku A1 - Liu, Yongmei A1 - Nicholas G. Martin A1 - März, Winfried A1 - Melbye, Mads A1 - Andres Metspalu A1 - Moebus, Susanne A1 - Munroe, Patricia B A1 - Njølstad, Inger A1 - Ben A Oostra A1 - Palmer, Colin N A A1 - Nancy L. Pedersen A1 - Markus Perola A1 - Pérusse, Louis A1 - Peters, Ulrike A1 - Power, Chris A1 - Quertermous, Thomas A1 - Rauramaa, Rainer A1 - Fernando Rivadeneira A1 - Saaristo, Timo E A1 - Saleheen, Danish A1 - Sattar, Naveed A1 - Schadt, Eric E A1 - Schlessinger, David A1 - Eline P. Slagboom A1 - Snieder, Harold A1 - Tim D Spector A1 - Thorsteinsdottir, Unnur A1 - Stumvoll, Michael A1 - Tuomilehto, Jaakko A1 - André G Uitterlinden A1 - Uusitupa, Matti A1 - van der Harst, Pim A1 - Walker, Mark A1 - Wallaschofski, Henri A1 - Wareham, Nicholas J A1 - Watkins, Hugh A1 - David Weir A1 - Wichmann, H-Erich A1 - Wilson, James F A1 - Zanen, Pieter A1 - Ingrid B. Borecki A1 - Deloukas, Panos A1 - Fox, Caroline S A1 - Heid, Iris M A1 - O'Connell, Jeffrey R A1 - Strachan, David P A1 - Stefansson, Kari A1 - Cornelia M van Duijn A1 - Gonçalo Abecasis A1 - Lude L. Franke A1 - Timothy M Frayling A1 - McCarthy, Mark I A1 - Peter M. Visscher A1 - Scherag, Andre A1 - Willer, Cristen J A1 - Boehnke, Michael A1 - Mohlke, Karen L A1 - Lindgren, Cecilia M A1 - Beckmann, Jacques S A1 - Barroso, Inês A1 - North, Kari E A1 - Ingelsson, Erik A1 - Joel Hirschhorn A1 - Ruth J F Loos A1 - Speliotes, Elizabeth K KW - Age Factors KW - BMI KW - Continental Population Groups KW - Energy Metabolism KW - Europe KW - Female KW - Genome-Wide Association Study KW - Glutamic Acid KW - Humans KW - Insulin KW - Male KW - Obesity KW - Polymorphism, Single Nucleotide KW - Quantitative Trait Loci KW - Synapses AB -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.

VL - 518 IS - 7538 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25673413?dopt=Abstract ER -