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Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium.


ABSTRACT: Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10-6) associated with intake of any macronutrient in 91,114 European ancestry participants. Four loci replicated and reached genome-wide significance in a combined meta-analysis including 123,659 European descent participants, unraveling two novel loci; a common variant in RARB locus for carbohydrate intake and a rare variant in DRAM1 locus for protein intake, and corroborating earlier FGF21 and FTO findings. In additional analysis of 144,770 participants from the UK Biobank, all identified associations from the two-stage analysis were confirmed except for DRAM1. Identified loci might have implications in brain and adipose tissue biology and have clinical impact in obesity-related phenotypes. Our findings provide new insight into biological functions related to macronutrient intake.

SUBMITTER: Merino J 

PROVIDER: S-EPMC6326896 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature

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Genome-wide meta-analysis of macronutrient intake of 91,114 European ancestry participants from the cohorts for heart and aging research in genomic epidemiology consortium.

Merino Jordi J   Dashti Hassan S HS   Li Sherly X SX   Sarnowski Chloé C   Justice Anne E AE   Graff Misa M   Papoutsakis Constantina C   Smith Caren E CE   Dedoussis George V GV   Lemaitre Rozenn N RN   Wojczynski Mary K MK   Männistö Satu S   Ngwa Julius S JS   Kho Minjung M   Ahluwalia Tarunveer S TS   Pervjakova Natalia N   Houston Denise K DK   Bouchard Claude C   Huang Tao T   Orho-Melander Marju M   Frazier-Wood Alexis C AC   Mook-Kanamori Dennis O DO   Pérusse Louis L   Pennell Craig E CE   de Vries Paul S PS   Voortman Trudy T   Li Olivia O   Kanoni Stavroula S   Rose Lynda M LM   Lehtimäki Terho T   Zhao Jing Hua JH   Feitosa Mary F MF   Luan Jian'an J   McKeown Nicola M NM   Smith Jennifer A JA   Hansen Torben T   Eklund Niina N   Nalls Mike A MA   Rankinen Tuomo T   Huang Jinyan J   Hernandez Dena G DG   Schulz Christina-Alexandra CA   Manichaikul Ani A   Li-Gao Ruifang R   Vohl Marie-Claude MC   Wang Carol A CA   van Rooij Frank J A FJA   Shin Jean J   Kalafati Ioanna P IP   Day Felix F   Ridker Paul M PM   Kähönen Mika M   Siscovick David S DS   Langenberg Claudia C   Zhao Wei W   Astrup Arne A   Knekt Paul P   Garcia Melissa M   Rao D C DC   Qi Qibin Q   Ferrucci Luigi L   Ericson Ulrika U   Blangero John J   Hofman Albert A   Pausova Zdenka Z   Mikkilä Vera V   Wareham Nick J NJ   Kardia Sharon L R SLR   Pedersen Oluf O   Jula Antti A   Curran Joanne E JE   Zillikens M Carola MC   Viikari Jorma S JS   Forouhi Nita G NG   Ordovás José M JM   Lieske John C JC   Rissanen Harri H   Uitterlinden André G AG   Raitakari Olli T OT   Kiefte-de Jong Jessica C JC   Dupuis Josée J   Rotter Jerome I JI   North Kari E KE   Scott Robert A RA   Province Michael A MA   Perola Markus M   Cupples L Adrienne LA   Turner Stephen T ST   Sørensen Thorkild I A TIA   Salomaa Veikko V   Liu Yongmei Y   Sung Yun J YJ   Qi Lu L   Bandinelli Stefania S   Rich Stephen S SS   de Mutsert Renée R   Tremblay Angelo A   Oddy Wendy H WH   Franco Oscar H OH   Paus Tomas T   Florez Jose C JC   Deloukas Panos P   Lyytikäinen Leo-Pekka LP   Chasman Daniel I DI   Chu Audrey Y AY   Tanaka Toshiko T  

Molecular psychiatry 20180709 12


Macronutrient intake, the proportion of calories consumed from carbohydrate, fat, and protein, is an important risk factor for metabolic diseases with significant familial aggregation. Previous studies have identified two genetic loci for macronutrient intake, but incomplete coverage of genetic variation and modest sample sizes have hindered the discovery of additional loci. Here, we expanded the genetic landscape of macronutrient intake, identifying 12 suggestively significant loci (P < 1 × 10<  ...[more]

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