TY - JOUR T1 - FTO genetic variants, dietary intake and body mass index: insights from 177,330 individuals. JF - Hum Mol Genet Y1 - 2014 A1 - Qi, Qibin A1 - Kilpeläinen, Tuomas O A1 - Downer, Mary K A1 - Tanaka, Toshiko A1 - Smith, Caren E A1 - Sluijs, Ivonne A1 - Sonestedt, Emily A1 - Chu, Audrey Y A1 - Renstrom, Frida A1 - Lin, Xiaochen A1 - Ängquist, Lars H A1 - Huang, Jinyan A1 - Liu, Zhonghua A1 - Li, Yanping A1 - Asif Ali, Muhammad A1 - Xu, Min A1 - Ahluwalia, Tarunveer Singh A1 - Boer, Jolanda M A A1 - Chen, Peng A1 - Daimon, Makoto A1 - Eriksson, Johan A1 - Perola, Markus A1 - Friedlander, Yechiel A1 - Gao, Yu-Tang A1 - Heppe, Denise H M A1 - Holloway, John W A1 - Houston, Denise K A1 - Kanoni, Stavroula A1 - Kim, Yu-Mi A1 - Laaksonen, Maarit A A1 - Jääskeläinen, Tiina A1 - Lee, Nanette R A1 - Lehtimäki, Terho A1 - Lemaitre, Rozenn N A1 - Lu, Wei A1 - Luben, Robert N A1 - Manichaikul, Ani A1 - Männistö, Satu A1 - Marques-Vidal, Pedro A1 - Monda, Keri L A1 - Ngwa, Julius S A1 - Perusse, Louis A1 - van Rooij, Frank J A A1 - Xiang, Yong-Bing A1 - Wen, Wanqing A1 - Wojczynski, Mary K A1 - Zhu, Jingwen A1 - Borecki, Ingrid B A1 - Bouchard, Claude A1 - Cai, Qiuyin A1 - Cooper, Cyrus A1 - Dedoussis, George V A1 - Deloukas, Panos A1 - Ferrucci, Luigi A1 - Forouhi, Nita G A1 - Hansen, Torben A1 - Christiansen, Lene A1 - Hofman, Albert A1 - Johansson, Ingegerd A1 - Jørgensen, Torben A1 - Karasawa, Shigeru A1 - Khaw, Kay-Tee A1 - Kim, Mi-Kyung A1 - Kristiansson, Kati A1 - Li, Huaixing A1 - Lin, Xu A1 - Liu, Yongmei A1 - Lohman, Kurt K A1 - Long, Jirong A1 - Mikkilä, Vera A1 - Mozaffarian, Dariush A1 - North, Kari A1 - Pedersen, Oluf A1 - Raitakari, Olli A1 - Rissanen, Harri A1 - Tuomilehto, Jaakko A1 - van der Schouw, Yvonne T A1 - Uitterlinden, André G A1 - Zillikens, M Carola A1 - Franco, Oscar H A1 - Shyong Tai, E A1 - Ou Shu, Xiao A1 - Siscovick, David S A1 - Toft, Ulla A1 - Verschuren, W M Monique A1 - Vollenweider, Peter A1 - Wareham, Nicholas J A1 - Witteman, Jacqueline C M A1 - Zheng, Wei A1 - Ridker, Paul M A1 - Kang, Jae H A1 - Liang, Liming A1 - Jensen, Majken K A1 - Curhan, Gary C A1 - Pasquale, Louis R A1 - Hunter, David J A1 - Mohlke, Karen L A1 - Uusitupa, Matti A1 - Cupples, L Adrienne A1 - Rankinen, Tuomo A1 - Orho-Melander, Marju A1 - Wang, Tao A1 - Chasman, Daniel I A1 - Franks, Paul W A1 - Sørensen, Thorkild I A A1 - Hu, Frank B A1 - Loos, Ruth J F A1 - Nettleton, Jennifer A A1 - Qi, Lu KW - Adult KW - African Americans KW - Aged KW - Alleles KW - Asian Continental Ancestry Group KW - Body Mass Index KW - Dietary Carbohydrates KW - Dietary Fats KW - Dietary Proteins KW - Energy Intake KW - European Continental Ancestry Group KW - Female KW - Gene Frequency KW - Humans KW - Male KW - Middle Aged KW - Obesity KW - Polymorphism, Single Nucleotide KW - Proteins AB -

FTO is the strongest known genetic susceptibility locus for obesity. Experimental studies in animals suggest the potential roles of FTO in regulating food intake. The interactive relation among FTO variants, dietary intake and body mass index (BMI) is complex and results from previous often small-scale studies in humans are highly inconsistent. We performed large-scale analyses based on data from 177,330 adults (154 439 Whites, 5776 African Americans and 17 115 Asians) from 40 studies to examine: (i) the association between the FTO-rs9939609 variant (or a proxy single-nucleotide polymorphism) and total energy and macronutrient intake and (ii) the interaction between the FTO variant and dietary intake on BMI. The minor allele (A-allele) of the FTO-rs9939609 variant was associated with higher BMI in Whites (effect per allele = 0.34 [0.31, 0.37] kg/m(2), P = 1.9 × 10(-105)), and all participants (0.30 [0.30, 0.35] kg/m(2), P = 3.6 × 10(-107)). The BMI-increasing allele of the FTO variant showed a significant association with higher dietary protein intake (effect per allele = 0.08 [0.06, 0.10] %, P = 2.4 × 10(-16)), and relative weak associations with lower total energy intake (-6.4 [-10.1, -2.6] kcal/day, P = 0.001) and lower dietary carbohydrate intake (-0.07 [-0.11, -0.02] %, P = 0.004). The associations with protein (P = 7.5 × 10(-9)) and total energy (P = 0.002) were attenuated but remained significant after adjustment for BMI. We did not find significant interactions between the FTO variant and dietary intake of total energy, protein, carbohydrate or fat on BMI. Our findings suggest a positive association between the BMI-increasing allele of FTO variant and higher dietary protein intake and offer insight into potential link between FTO, dietary protein intake and adiposity.

VL - 23 IS - 25 U1 - http://www.ncbi.nlm.nih.gov/pubmed/25104851?dopt=Abstract ER - TY - JOUR T1 - Discovery and fine-mapping of loci associated with monounsaturated fatty acids through trans-ethnic meta-analysis in Chinese and European populations. JF - J Lipid Res Y1 - 2017 A1 - Hu, Yao A1 - Tanaka, Toshiko A1 - Zhu, Jingwen A1 - Guan, Weihua A1 - Wu, Jason H Y A1 - Psaty, Bruce M A1 - McKnight, Barbara A1 - King, Irena B A1 - Sun, Qi A1 - Richard, Melissa A1 - Manichaikul, Ani A1 - Frazier-Wood, Alexis C A1 - Kabagambe, Edmond K A1 - Hopkins, Paul N A1 - Ordovas, Jose M A1 - Ferrucci, Luigi A1 - Bandinelli, Stefania A1 - Arnett, Donna K A1 - Chen, Yii-der I A1 - Liang, Shuang A1 - Siscovick, David S A1 - Tsai, Michael Y A1 - Rich, Stephen S A1 - Fornage, Myriam A1 - Hu, Frank B A1 - Rimm, Eric B A1 - Jensen, Majken K A1 - Lemaitre, Rozenn N A1 - Mozaffarian, Dariush A1 - Steffen, Lyn M A1 - Morris, Andrew P A1 - Li, Huaixing A1 - Lin, Xu AB -

Monounsaturated fatty acids (MUFAs) are unsaturated fatty acids with one double bond and are derived from endogenous synthesis and dietary intake. Accumulating evidence has suggested that plasma and erythrocyte MUFA levels were associated with cardiometabolic disorders including cardiovascular disease (CVD), type 2 diabetes (T2D) and metabolic syndrome (MS). Previous genome-wide association studies (GWAS) have identified seven loci for plasma and erythrocyte palmitoleic acid and oleic acid levels in populations of European origin. To identify additional MUFA-associated loci and the potential causal variant at each locus, we performed ethnic-specific GWAS meta-analyses and trans-ethnic meta-analyses in over 15,000 participants of Chinese- and European-ancestry. We identified novel genome-wide significant associations for vaccenic acid at FADS1/2 and PKD2L1 [log10(Bayes factor)>=8.07] and for gondoic acid at FADS1/2 and GCKR [log10(Bayes factor)>=61619;6.22], and also observed improved fine-mapping resolutions at FADS1/2 and GCKR loci. The greatest improvement was observed at GCKR, where the number of variants in the 99% credible set was reduced from 16 (covering ~95kb) to five (covering ~20kb, including a missense variant rs1260326) after trans-ethnic meta-analysis. We also confirmed the previously reported associations of PKD2L1, FADS1/2, GCKR and HIF1AN with palmitoleic acid and of FADS1/2 and LPCAT3 with oleic acid in the Chinese-specific GWAS and trans-ethnic meta-analyses. Pathway-based analyses suggested that the identified loci were enriched in unsaturated fatty acids metabolism and signaling pathways. Our findings provided novel insight into the genetic basis relevant to MUFA metabolism and biology.

ER - TY - JOUR T1 - Genome-Wide Association Study Meta-Analysis of Long-Term Average Blood Pressure in East Asians. JF - Circ Cardiovasc Genet Y1 - 2017 A1 - Li, Changwei A1 - Kim, Yun Kyoung A1 - Dorajoo, Rajkumar A1 - Li, Huaixing A1 - Lee, I-Te A1 - Cheng, Ching-Yu A1 - He, Meian A1 - Sheu, Wayne H-H A1 - Guo, Xiuqing A1 - Ganesh, Santhi K A1 - He, Jiang A1 - Lee, Juyoung A1 - Liu, Jianjun A1 - Hu, Yao A1 - Rao, Dabeeru C A1 - Tsai, Fuu-Jen A1 - Koh, Jia Yu A1 - Hu, Hua A1 - Liang, Kae-Woei A1 - Palmas, Walter A1 - Hixson, James E A1 - Han, Sohee A1 - Teo, Yik-Ying A1 - Wang, Yiqin A1 - Chen, Jing A1 - Lu, Chieh Hsiang A1 - Zheng, Yingfeng A1 - Gui, Lixuan A1 - Lee, Wen-Jane A1 - Yao, Jie A1 - Gu, Dongfeng A1 - Han, Bok-Ghee A1 - Sim, Xueling A1 - Sun, Liang A1 - Zhao, Jinying A1 - Chen, Chien-Hsiun A1 - Kumari, Neelam A1 - He, Yunfeng A1 - Taylor, Kent D A1 - Raffel, Leslie J A1 - Moon, Sanghoon A1 - Rotter, Jerome I A1 - Ida Chen, Yii-Der A1 - Wu, Tangchun A1 - Wong, Tien Yin A1 - Wu, Jer-Yuarn A1 - Lin, Xu A1 - Tai, E-Shyong A1 - Kim, Bong-Jo A1 - Kelly, Tanika N KW - Asian Continental Ancestry Group KW - Blood Pressure KW - Far East KW - Female KW - Genetic Loci KW - Genome-Wide Association Study KW - Humans KW - Male KW - Phenotype KW - Polymorphism, Single Nucleotide AB -

BACKGROUND: Genome-wide single marker and gene-based meta-analyses of long-term average (LTA) blood pressure (BP) phenotypes may reveal novel findings for BP.

METHODS AND RESULTS: We conducted genome-wide analysis among 18 422 East Asian participants (stage 1) followed by replication study of ≤46 629 participants of European ancestry (stage 2). Significant single-nucleotide polymorphisms and genes were determined by a P<5.0×10-8 and 2.5×10-6, respectively, in joint analyses of stage-1 and stage-2 data. We identified 1 novel ARL3 variant, rs4919669 at 10q24.32, influencing LTA systolic BP (stage-1 P=5.03×10-8, stage-2 P=8.64×10-3, joint P=2.63×10-8) and mean arterial pressure (stage-1 P=3.59×10-9, stage-2 P=2.35×10-2, joint P=2.64×10-8). Three previously reported BP loci (WBP1L, NT5C2, and ATP2B1) were also identified for all BP phenotypes. Gene-based analysis provided the first robust evidence for association of KCNJ11 with LTA systolic BP (stage-1 P=8.55×10-6, stage-2 P=1.62×10-5, joint P=3.28×10-9) and mean arterial pressure (stage-1 P=9.19×10-7, stage-2 P=9.69×10-5, joint P=2.15×10-9) phenotypes. Fourteen genes (TMEM180, ACTR1A, SUFU, ARL3, SFXN2, WBP1L, CYP17A1, C10orf32, C10orf32-ASMT, AS3MT, CNNM2, and NT5C2 at 10q24.32; ATP2B1 at 12q21.33; and NCR3LG1 at 11p15.1) implicated by previous genome-wide association study meta-analyses were also identified. Among the loci identified by the previous genome-wide association study meta-analysis of LTA BP, we transethnically replicated associations of the KCNK3 marker rs1275988 at 2p23.3 with LTA systolic BP and mean arterial pressure phenotypes (P=1.27×10-4 and 3.30×10-4, respectively).

CONCLUSIONS: We identified 1 novel variant and 1 novel gene and present the first direct evidence of relevance of the KCNK3 locus for LTA BP among East Asians.

VL - 10 IS - 2 ER - TY - JOUR T1 - Impact of common genetic determinants of Hemoglobin A1c on type 2 diabetes risk and diagnosis in ancestrally diverse populations: A transethnic genome-wide meta-analysis. JF - PLoS Med Y1 - 2017 A1 - Wheeler, Eleanor A1 - Leong, Aaron A1 - Liu, Ching-Ti A1 - Hivert, Marie-France A1 - Strawbridge, Rona J A1 - Podmore, Clara A1 - Li, Man A1 - Yao, Jie A1 - Sim, Xueling A1 - Hong, Jaeyoung A1 - Chu, Audrey Y A1 - Zhang, Weihua A1 - Wang, Xu A1 - Chen, Peng A1 - Maruthur, Nisa M A1 - Porneala, Bianca C A1 - Sharp, Stephen J A1 - Jia, Yucheng A1 - Kabagambe, Edmond K A1 - Chang, Li-Ching A1 - Chen, Wei-Min A1 - Elks, Cathy E A1 - Evans, Daniel S A1 - Fan, Qiao A1 - Giulianini, Franco A1 - Go, Min Jin A1 - Hottenga, Jouke-Jan A1 - Hu, Yao A1 - Jackson, Anne U A1 - Kanoni, Stavroula A1 - Kim, Young Jin A1 - Kleber, Marcus E A1 - Ladenvall, Claes A1 - Lecoeur, Cécile A1 - Lim, Sing-Hui A1 - Lu, Yingchang A1 - Mahajan, Anubha A1 - Marzi, Carola A1 - Nalls, Mike A A1 - Navarro, Pau A1 - Nolte, Ilja M A1 - Rose, Lynda M A1 - Rybin, Denis V A1 - Sanna, Serena A1 - Shi, Yuan A1 - Stram, Daniel O A1 - Takeuchi, Fumihiko A1 - Tan, Shu Pei A1 - van der Most, Peter J A1 - van Vliet-Ostaptchouk, Jana V A1 - Wong, Andrew A1 - Yengo, Loic A1 - Zhao, Wanting A1 - Goel, Anuj A1 - Martinez Larrad, Maria Teresa A1 - Radke, Dörte A1 - Salo, Perttu A1 - Tanaka, Toshiko A1 - van Iperen, Erik P A A1 - Abecasis, Goncalo A1 - Afaq, Saima A1 - Alizadeh, Behrooz Z A1 - Bertoni, Alain G A1 - Bonnefond, Amélie A1 - Böttcher, Yvonne A1 - Bottinger, Erwin P A1 - Campbell, Harry A1 - Carlson, Olga D A1 - Chen, Chien-Hsiun A1 - Cho, Yoon Shin A1 - Garvey, W Timothy A1 - Gieger, Christian A1 - Goodarzi, Mark O A1 - Grallert, Harald A1 - Hamsten, Anders A1 - Hartman, Catharina A A1 - Herder, Christian A1 - Hsiung, Chao Agnes A1 - Huang, Jie A1 - Igase, Michiya A1 - Isono, Masato A1 - Katsuya, Tomohiro A1 - Khor, Chiea-Chuen A1 - Kiess, Wieland A1 - Kohara, Katsuhiko A1 - Kovacs, Peter A1 - Lee, Juyoung A1 - Lee, Wen-Jane A1 - Lehne, Benjamin A1 - Li, Huaixing A1 - Liu, Jianjun A1 - Lobbens, Stephane A1 - Luan, Jian'an A1 - Lyssenko, Valeriya A1 - Meitinger, Thomas A1 - Miki, Tetsuro A1 - Miljkovic, Iva A1 - Moon, Sanghoon A1 - Mulas, Antonella A1 - Müller, Gabriele A1 - Müller-Nurasyid, Martina A1 - Nagaraja, Ramaiah A1 - Nauck, Matthias A1 - Pankow, James S A1 - Polasek, Ozren A1 - Prokopenko, Inga A1 - Ramos, Paula S A1 - Rasmussen-Torvik, Laura A1 - Rathmann, Wolfgang A1 - Rich, Stephen S A1 - Robertson, Neil R A1 - Roden, Michael A1 - Roussel, Ronan A1 - Rudan, Igor A1 - Scott, Robert A A1 - Scott, William R A1 - Sennblad, Bengt A1 - Siscovick, David S A1 - Strauch, Konstantin A1 - Sun, Liang A1 - Swertz, Morris A1 - Tajuddin, Salman M A1 - Taylor, Kent D A1 - Teo, Yik-Ying A1 - Tham, Yih Chung A1 - Tönjes, Anke A1 - Wareham, Nicholas J A1 - Willemsen, Gonneke A1 - Wilsgaard, Tom A1 - Hingorani, Aroon D A1 - Egan, Josephine A1 - Ferrucci, Luigi A1 - Hovingh, G Kees A1 - Jula, Antti A1 - Kivimaki, Mika A1 - Kumari, Meena A1 - Njølstad, Inger A1 - Palmer, Colin N A A1 - Serrano Ríos, Manuel A1 - Stumvoll, Michael A1 - Watkins, Hugh A1 - Aung, Tin A1 - Blüher, Matthias A1 - Boehnke, Michael A1 - Boomsma, Dorret I A1 - Bornstein, Stefan R A1 - Chambers, John C A1 - Chasman, Daniel I A1 - Chen, Yii-Der Ida A1 - Chen, Yduan-Tsong A1 - Cheng, Ching-Yu A1 - Cucca, Francesco A1 - de Geus, Eco J C A1 - Deloukas, Panos A1 - Evans, Michele K A1 - Fornage, Myriam A1 - Friedlander, Yechiel A1 - Froguel, Philippe A1 - Groop, Leif A1 - Gross, Myron D A1 - Harris, Tamara B A1 - Hayward, Caroline A1 - Heng, Chew-Kiat A1 - Ingelsson, Erik A1 - Kato, Norihiro A1 - Kim, Bong-Jo A1 - Koh, Woon-Puay A1 - Kooner, Jaspal S A1 - Körner, Antje A1 - Kuh, Diana A1 - Kuusisto, Johanna A1 - Laakso, Markku A1 - Lin, Xu A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Magnusson, Patrik K E A1 - März, Winfried A1 - McCarthy, Mark I A1 - Oldehinkel, Albertine J A1 - Ong, Ken K A1 - Pedersen, Nancy L A1 - Pereira, Mark A A1 - Peters, Annette A1 - Ridker, Paul M A1 - Sabanayagam, Charumathi A1 - Sale, Michele A1 - Saleheen, Danish A1 - Saltevo, Juha A1 - Schwarz, Peter Eh A1 - Sheu, Wayne H H A1 - Snieder, Harold A1 - Spector, Timothy D A1 - Tabara, Yasuharu A1 - Tuomilehto, Jaakko A1 - van Dam, Rob M A1 - Wilson, James G A1 - Wilson, James F A1 - Wolffenbuttel, Bruce H R A1 - Wong, Tien Yin A1 - Wu, Jer-Yuarn A1 - Yuan, Jian-Min A1 - Zonderman, Alan B A1 - Soranzo, Nicole A1 - Guo, Xiuqing A1 - Roberts, David J A1 - Florez, Jose C A1 - Sladek, Robert A1 - Dupuis, Josée A1 - Morris, Andrew P A1 - Tai, E-Shyong A1 - Selvin, Elizabeth A1 - Rotter, Jerome I A1 - Langenberg, Claudia A1 - Barroso, Inês A1 - Meigs, James B KW - Diabetes Mellitus, Type 2 KW - Genetic Variation KW - Genome-Wide Association Study KW - Glycated Hemoglobin A KW - Humans KW - Phenotype KW - Risk AB -

BACKGROUND: Glycated hemoglobin (HbA1c) is used to diagnose type 2 diabetes (T2D) and assess glycemic control in patients with diabetes. Previous genome-wide association studies (GWAS) have identified 18 HbA1c-associated genetic variants. These variants proved to be classifiable by their likely biological action as erythrocytic (also associated with erythrocyte traits) or glycemic (associated with other glucose-related traits). In this study, we tested the hypotheses that, in a very large scale GWAS, we would identify more genetic variants associated with HbA1c and that HbA1c variants implicated in erythrocytic biology would affect the diagnostic accuracy of HbA1c. We therefore expanded the number of HbA1c-associated loci and tested the effect of genetic risk-scores comprised of erythrocytic or glycemic variants on incident diabetes prediction and on prevalent diabetes screening performance. Throughout this multiancestry study, we kept a focus on interancestry differences in HbA1c genetics performance that might influence race-ancestry differences in health outcomes.

METHODS & FINDINGS: Using genome-wide association meta-analyses in up to 159,940 individuals from 82 cohorts of European, African, East Asian, and South Asian ancestry, we identified 60 common genetic variants associated with HbA1c. We classified variants as implicated in glycemic, erythrocytic, or unclassified biology and tested whether additive genetic scores of erythrocytic variants (GS-E) or glycemic variants (GS-G) were associated with higher T2D incidence in multiethnic longitudinal cohorts (N = 33,241). Nineteen glycemic and 22 erythrocytic variants were associated with HbA1c at genome-wide significance. GS-G was associated with higher T2D risk (incidence OR = 1.05, 95% CI 1.04-1.06, per HbA1c-raising allele, p = 3 × 10-29); whereas GS-E was not (OR = 1.00, 95% CI 0.99-1.01, p = 0.60). In Europeans and Asians, erythrocytic variants in aggregate had only modest effects on the diagnostic accuracy of HbA1c. Yet, in African Americans, the X-linked G6PD G202A variant (T-allele frequency 11%) was associated with an absolute decrease in HbA1c of 0.81%-units (95% CI 0.66-0.96) per allele in hemizygous men, and 0.68%-units (95% CI 0.38-0.97) in homozygous women. The G6PD variant may cause approximately 2% (N = 0.65 million, 95% CI 0.55-0.74) of African American adults with T2D to remain undiagnosed when screened with HbA1c. Limitations include the smaller sample sizes for non-European ancestries and the inability to classify approximately one-third of the variants. Further studies in large multiethnic cohorts with HbA1c, glycemic, and erythrocytic traits are required to better determine the biological action of the unclassified variants.

CONCLUSIONS: As G6PD deficiency can be clinically silent until illness strikes, we recommend investigation of the possible benefits of screening for the G6PD genotype along with using HbA1c to diagnose T2D in populations of African ancestry or groups where G6PD deficiency is common. Screening with direct glucose measurements, or genetically-informed HbA1c diagnostic thresholds in people with G6PD deficiency, may be required to avoid missed or delayed diagnoses.

VL - 14 IS - 9 ER - TY - JOUR T1 - Refining the accuracy of validated target identification through coding variant fine-mapping in type 2 diabetes. JF - Nat Genet Y1 - 2018 A1 - Mahajan, Anubha A1 - Wessel, Jennifer A1 - Willems, Sara M A1 - Zhao, Wei A1 - Robertson, Neil R A1 - Chu, Audrey Y A1 - Gan, Wei A1 - Kitajima, Hidetoshi A1 - Taliun, Daniel A1 - Rayner, N William A1 - Guo, Xiuqing A1 - Lu, Yingchang A1 - Li, Man A1 - Jensen, Richard A A1 - Hu, Yao A1 - Huo, Shaofeng A1 - Lohman, Kurt K A1 - Zhang, Weihua A1 - Cook, James P A1 - Prins, Bram Peter A1 - Flannick, Jason A1 - Grarup, Niels A1 - Trubetskoy, Vassily Vladimirovich A1 - Kravic, Jasmina A1 - Kim, Young Jin A1 - Rybin, Denis V A1 - Yaghootkar, Hanieh A1 - Müller-Nurasyid, Martina A1 - Meidtner, Karina A1 - Li-Gao, Ruifang A1 - Varga, Tibor V A1 - Marten, Jonathan A1 - Li, Jin A1 - Smith, Albert Vernon A1 - An, Ping A1 - Ligthart, Symen A1 - Gustafsson, Stefan A1 - Malerba, Giovanni A1 - Demirkan, Ayse A1 - Tajes, Juan Fernandez A1 - Steinthorsdottir, Valgerdur A1 - Wuttke, Matthias A1 - Lecoeur, Cécile A1 - Preuss, Michael A1 - Bielak, Lawrence F A1 - Graff, Marielisa A1 - Highland, Heather M A1 - Justice, Anne E A1 - Liu, Dajiang J A1 - Marouli, Eirini A1 - Peloso, Gina Marie A1 - Warren, Helen R A1 - Afaq, Saima A1 - Afzal, Shoaib A1 - Ahlqvist, Emma A1 - Almgren, Peter A1 - Amin, Najaf A1 - Bang, Lia B A1 - Bertoni, Alain G A1 - Bombieri, Cristina A1 - Bork-Jensen, Jette A1 - Brandslund, Ivan A1 - Brody, Jennifer A A1 - Burtt, Noel P A1 - Canouil, Mickaël A1 - Chen, Yii-Der Ida A1 - Cho, Yoon Shin A1 - Christensen, Cramer A1 - Eastwood, Sophie V A1 - Eckardt, Kai-Uwe A1 - Fischer, Krista A1 - Gambaro, Giovanni A1 - Giedraitis, Vilmantas A1 - Grove, Megan L A1 - de Haan, Hugoline G A1 - Hackinger, Sophie A1 - Hai, Yang A1 - Han, Sohee A1 - Tybjærg-Hansen, Anne A1 - Hivert, Marie-France A1 - Isomaa, Bo A1 - Jäger, Susanne A1 - Jørgensen, Marit E A1 - Jørgensen, Torben A1 - Käräjämäki, AnneMari A1 - Kim, Bong-Jo A1 - Kim, Sung Soo A1 - Koistinen, Heikki A A1 - Kovacs, Peter A1 - Kriebel, Jennifer A1 - Kronenberg, Florian A1 - Läll, Kristi A1 - Lange, Leslie A A1 - Lee, Jung-Jin A1 - Lehne, Benjamin A1 - Li, Huaixing A1 - Lin, Keng-Hung A1 - Linneberg, Allan A1 - Liu, Ching-Ti A1 - Liu, Jun A1 - Loh, Marie A1 - Mägi, Reedik A1 - Mamakou, Vasiliki A1 - McKean-Cowdin, Roberta A1 - Nadkarni, Girish A1 - Neville, Matt A1 - Nielsen, Sune F A1 - Ntalla, Ioanna A1 - Peyser, Patricia A A1 - Rathmann, Wolfgang A1 - Rice, Kenneth A1 - Rich, Stephen S A1 - Rode, Line A1 - Rolandsson, Olov A1 - Schönherr, Sebastian A1 - Selvin, Elizabeth A1 - Small, Kerrin S A1 - Stančáková, Alena A1 - Surendran, Praveen A1 - Taylor, Kent D A1 - Teslovich, Tanya M A1 - Thorand, Barbara A1 - Thorleifsson, Gudmar A1 - Tin, Adrienne A1 - Tönjes, Anke A1 - Varbo, Anette A1 - Witte, Daniel R A1 - Wood, Andrew R A1 - Yajnik, Pranav A1 - Yao, Jie A1 - Yengo, Loic A1 - Young, Robin A1 - Amouyel, Philippe A1 - Boeing, Heiner A1 - Boerwinkle, Eric A1 - Bottinger, Erwin P A1 - Chowdhury, Rajiv A1 - Collins, Francis S A1 - Dedoussis, George A1 - Dehghan, Abbas A1 - Deloukas, Panos A1 - Ferrario, Marco M A1 - Ferrieres, Jean A1 - Florez, Jose C A1 - Frossard, Philippe A1 - Gudnason, Vilmundur A1 - Harris, Tamara B A1 - Heckbert, Susan R A1 - Howson, Joanna M M A1 - Ingelsson, Martin A1 - Kathiresan, Sekar A1 - Kee, Frank A1 - Kuusisto, Johanna A1 - Langenberg, Claudia A1 - Launer, Lenore J A1 - Lindgren, Cecilia M A1 - Männistö, Satu A1 - Meitinger, Thomas A1 - Melander, Olle A1 - Mohlke, Karen L A1 - Moitry, Marie A1 - Morris, Andrew D A1 - Murray, Alison D A1 - de Mutsert, Renée A1 - Orho-Melander, Marju A1 - Owen, Katharine R A1 - Perola, Markus A1 - Peters, Annette A1 - Province, Michael A A1 - Rasheed, Asif A1 - Ridker, Paul M A1 - Rivadineira, Fernando A1 - Rosendaal, Frits R A1 - Rosengren, Anders H A1 - Salomaa, Veikko A1 - Sheu, Wayne H-H A1 - Sladek, Rob A1 - Smith, Blair H A1 - Strauch, Konstantin A1 - Uitterlinden, André G A1 - Varma, Rohit A1 - Willer, Cristen J A1 - Blüher, Matthias A1 - Butterworth, Adam S A1 - Chambers, John Campbell A1 - Chasman, Daniel I A1 - Danesh, John A1 - van Duijn, Cornelia A1 - Dupuis, Josée A1 - Franco, Oscar H A1 - Franks, Paul W A1 - Froguel, Philippe A1 - Grallert, Harald A1 - Groop, Leif A1 - Han, Bok-Ghee A1 - Hansen, Torben A1 - Hattersley, Andrew T A1 - Hayward, Caroline A1 - Ingelsson, Erik A1 - Kardia, Sharon L R A1 - Karpe, Fredrik A1 - Kooner, Jaspal Singh A1 - Köttgen, Anna A1 - Kuulasmaa, Kari A1 - Laakso, Markku A1 - Lin, Xu A1 - Lind, Lars A1 - Liu, Yongmei A1 - Loos, Ruth J F A1 - Marchini, Jonathan A1 - Metspalu, Andres A1 - Mook-Kanamori, Dennis A1 - Nordestgaard, Børge G A1 - Palmer, Colin N A A1 - Pankow, James S A1 - Pedersen, Oluf A1 - Psaty, Bruce M A1 - Rauramaa, Rainer A1 - Sattar, Naveed A1 - Schulze, Matthias B A1 - Soranzo, Nicole A1 - Spector, Timothy D A1 - Stefansson, Kari A1 - Stumvoll, Michael A1 - Thorsteinsdottir, Unnur A1 - Tuomi, Tiinamaija A1 - Tuomilehto, Jaakko A1 - Wareham, Nicholas J A1 - Wilson, James G A1 - Zeggini, Eleftheria A1 - Scott, Robert A A1 - Barroso, Inês A1 - Frayling, Timothy M A1 - Goodarzi, Mark O A1 - Meigs, James B A1 - Boehnke, Michael A1 - Saleheen, Danish A1 - Morris, Andrew P A1 - Rotter, Jerome I A1 - McCarthy, Mark I AB -

We aggregated coding variant data for 81,412 type 2 diabetes cases and 370,832 controls of diverse ancestry, identifying 40 coding variant association signals (P < 2.2 × 10); of these, 16 map outside known risk-associated loci. We make two important observations. First, only five of these signals are driven by low-frequency variants: even for these, effect sizes are modest (odds ratio ≤1.29). Second, when we used large-scale genome-wide association data to fine-map the associated variants in their regional context, accounting for the global enrichment of complex trait associations in coding sequence, compelling evidence for coding variant causality was obtained for only 16 signals. At 13 others, the associated coding variants clearly represent 'false leads' with potential to generate erroneous mechanistic inference. Coding variant associations offer a direct route to biological insight for complex diseases and identification of validated therapeutic targets; however, appropriate mechanistic inference requires careful specification of their causal contribution to disease predisposition.

VL - 50 IS - 4 ER - TY - JOUR T1 - Association of omega 3 polyunsaturated fatty acids with incident chronic kidney disease: pooled analysis of 19 cohorts. JF - BMJ Y1 - 2023 A1 - Ong, Kwok Leung A1 - Marklund, Matti A1 - Huang, Liping A1 - Rye, Kerry-Anne A1 - Hui, Nicholas A1 - Pan, Xiong-Fei A1 - Rebholz, Casey M A1 - Kim, Hyunju A1 - Steffen, Lyn M A1 - van Westing, Anniek C A1 - Geleijnse, Johanna M A1 - Hoogeveen, Ellen K A1 - Chen, Yun-Yu A1 - Chien, Kuo-Liong A1 - Fretts, Amanda M A1 - Lemaitre, Rozenn N A1 - Imamura, Fumiaki A1 - Forouhi, Nita G A1 - Wareham, Nicholas J A1 - Birukov, Anna A1 - Jäger, Susanne A1 - Kuxhaus, Olga A1 - Schulze, Matthias B A1 - de Mello, Vanessa Derenji A1 - Tuomilehto, Jaakko A1 - Uusitupa, Matti A1 - Lindström, Jaana A1 - Tintle, Nathan A1 - Harris, William S A1 - Yamasaki, Keisuke A1 - Hirakawa, Yoichiro A1 - Ninomiya, Toshiharu A1 - Tanaka, Toshiko A1 - Ferrucci, Luigi A1 - Bandinelli, Stefania A1 - Virtanen, Jyrki K A1 - Voutilainen, Ari A1 - Jayasena, Tharusha A1 - Thalamuthu, Anbupalam A1 - Poljak, Anne A1 - Bustamante, Sonia A1 - Sachdev, Perminder S A1 - Senn, Mackenzie K A1 - Rich, Stephen S A1 - Tsai, Michael Y A1 - Wood, Alexis C A1 - Laakso, Markku A1 - Lankinen, Maria A1 - Yang, Xiaowei A1 - Sun, Liang A1 - Li, Huaixing A1 - Lin, Xu A1 - Nowak, Christoph A1 - Arnlöv, Johan A1 - Riserus, Ulf A1 - Lind, Lars A1 - Le Goff, Mélanie A1 - Samieri, Cecilia A1 - Helmer, Catherine A1 - Qian, Frank A1 - Micha, Renata A1 - Tin, Adrienne A1 - Köttgen, Anna A1 - de Boer, Ian H A1 - Siscovick, David S A1 - Mozaffarian, Dariush A1 - Wu, Jason HY KW - alpha-Linolenic Acid KW - Fatty Acids, Omega-3 KW - Fatty Acids, Unsaturated KW - Humans KW - Middle Aged KW - Prospective Studies KW - Renal Insufficiency, Chronic KW - Risk Factors AB -

OBJECTIVE: To assess the prospective associations of circulating levels of omega 3 polyunsaturated fatty acid (n-3 PUFA) biomarkers (including plant derived α linolenic acid and seafood derived eicosapentaenoic acid, docosapentaenoic acid, and docosahexaenoic acid) with incident chronic kidney disease (CKD).

DESIGN: Pooled analysis.

DATA SOURCES: A consortium of 19 studies from 12 countries identified up to May 2020.

STUDY SELECTION: Prospective studies with measured n-3 PUFA biomarker data and incident CKD based on estimated glomerular filtration rate.

DATA EXTRACTION AND SYNTHESIS: Each participating cohort conducted de novo analysis with prespecified and consistent exposures, outcomes, covariates, and models. The results were pooled across cohorts using inverse variance weighted meta-analysis.

MAIN OUTCOME MEASURES: Primary outcome of incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m. In a sensitivity analysis, incident CKD was defined as new onset estimated glomerular filtration rate <60 mL/min/1.73 m and <75% of baseline rate.

RESULTS: 25 570 participants were included in the primary outcome analysis and 4944 (19.3%) developed incident CKD during follow-up (weighted median 11.3 years). In multivariable adjusted models, higher levels of total seafood n-3 PUFAs were associated with a lower incident CKD risk (relative risk per interquintile range 0.92, 95% confidence interval 0.86 to 0.98; P=0.009, I=9.9%). In categorical analyses, participants with total seafood n-3 PUFA level in the highest fifth had 13% lower risk of incident CKD compared with those in the lowest fifth (0.87, 0.80 to 0.96; P=0.005, I=0.0%). Plant derived α linolenic acid levels were not associated with incident CKD (1.00, 0.94 to 1.06; P=0.94, I=5.8%). Similar results were obtained in the sensitivity analysis. The association appeared consistent across subgroups by age (≥60 <60 years), estimated glomerular filtration rate (60-89 ≥90 mL/min/1.73 m), hypertension, diabetes, and coronary heart disease at baseline.

CONCLUSIONS: Higher seafood derived n-3 PUFA levels were associated with lower risk of incident CKD, although this association was not found for plant derived n-3 PUFAs. These results support a favourable role for seafood derived n-3 PUFAs in preventing CKD.

VL - 380 ER -